diff --git common/src/java/org/apache/hadoop/hive/conf/HiveConf.java.orig common/src/java/org/apache/hadoop/hive/conf/HiveConf.java.orig deleted file mode 100644 index da48a7ccbd..0000000000 --- common/src/java/org/apache/hadoop/hive/conf/HiveConf.java.orig +++ /dev/null @@ -1,4717 +0,0 @@ -/** - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.hadoop.hive.conf; - -import com.google.common.base.Joiner; - -import org.apache.commons.lang.StringUtils; -import org.apache.hadoop.conf.Configuration; -import org.apache.hadoop.hive.common.FileUtils; -import org.apache.hadoop.hive.common.classification.InterfaceAudience; -import org.apache.hadoop.hive.common.classification.InterfaceAudience.LimitedPrivate; -import org.apache.hadoop.hive.conf.Validator.PatternSet; -import org.apache.hadoop.hive.conf.Validator.RangeValidator; -import org.apache.hadoop.hive.conf.Validator.RatioValidator; -import org.apache.hadoop.hive.conf.Validator.SizeValidator; -import org.apache.hadoop.hive.conf.Validator.StringSet; -import org.apache.hadoop.hive.conf.Validator.TimeValidator; -import org.apache.hadoop.hive.conf.Validator.WritableDirectoryValidator; -import org.apache.hadoop.hive.shims.Utils; -import org.apache.hadoop.mapred.JobConf; -import org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat; -import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; -import org.apache.hadoop.security.UserGroupInformation; -import org.apache.hadoop.util.Shell; -import org.apache.hive.common.HiveCompat; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import javax.security.auth.login.LoginException; -import java.io.ByteArrayOutputStream; -import java.io.File; -import java.io.IOException; -import java.io.InputStream; -import java.io.PrintStream; -import java.io.UnsupportedEncodingException; -import java.net.URI; -import java.net.URL; -import java.net.URLDecoder; -import java.net.URLEncoder; -import java.util.ArrayList; -import java.util.Collections; -import java.util.HashMap; -import java.util.HashSet; -import java.util.Iterator; -import java.util.LinkedHashSet; -import java.util.List; -import java.util.Map; -import java.util.Map.Entry; -import java.util.Properties; -import java.util.Set; -import java.util.concurrent.TimeUnit; -import java.util.regex.Matcher; -import java.util.regex.Pattern; - -/** - * Hive Configuration. - */ -public class HiveConf extends Configuration { - protected String hiveJar; - protected Properties origProp; - protected String auxJars; - private static final Logger l4j = LoggerFactory.getLogger(HiveConf.class); - private static boolean loadMetastoreConfig = false; - private static boolean loadHiveServer2Config = false; - private static URL hiveDefaultURL = null; - private static URL hiveSiteURL = null; - private static URL hivemetastoreSiteUrl = null; - private static URL hiveServer2SiteUrl = null; - - private static byte[] confVarByteArray = null; - - - private static final Map vars = new HashMap(); - private static final Map metaConfs = new HashMap(); - private final List restrictList = new ArrayList(); - private final Set hiddenSet = new HashSet(); - - private Pattern modWhiteListPattern = null; - private volatile boolean isSparkConfigUpdated = false; - private static final int LOG_PREFIX_LENGTH = 64; - - public boolean getSparkConfigUpdated() { - return isSparkConfigUpdated; - } - - public void setSparkConfigUpdated(boolean isSparkConfigUpdated) { - this.isSparkConfigUpdated = isSparkConfigUpdated; - } - - public interface EncoderDecoder { - V encode(K key); - K decode(V value); - } - - public static class URLEncoderDecoder implements EncoderDecoder { - private static final String UTF_8 = "UTF-8"; - @Override - public String encode(String key) { - try { - return URLEncoder.encode(key, UTF_8); - } catch (UnsupportedEncodingException e) { - return key; - } - } - - @Override - public String decode(String value) { - try { - return URLDecoder.decode(value, UTF_8); - } catch (UnsupportedEncodingException e) { - return value; - } - } - } - public static class EncoderDecoderFactory { - public static final URLEncoderDecoder URL_ENCODER_DECODER = new URLEncoderDecoder(); - } - - static { - ClassLoader classLoader = Thread.currentThread().getContextClassLoader(); - if (classLoader == null) { - classLoader = HiveConf.class.getClassLoader(); - } - - hiveDefaultURL = classLoader.getResource("hive-default.xml"); - - // Look for hive-site.xml on the CLASSPATH and log its location if found. - hiveSiteURL = findConfigFile(classLoader, "hive-site.xml", true); - hivemetastoreSiteUrl = findConfigFile(classLoader, "hivemetastore-site.xml", false); - hiveServer2SiteUrl = findConfigFile(classLoader, "hiveserver2-site.xml", false); - - for (ConfVars confVar : ConfVars.values()) { - vars.put(confVar.varname, confVar); - } - - Set llapDaemonConfVarsSetLocal = new LinkedHashSet<>(); - populateLlapDaemonVarsSet(llapDaemonConfVarsSetLocal); - llapDaemonVarsSet = Collections.unmodifiableSet(llapDaemonConfVarsSetLocal); - } - - private static URL findConfigFile(ClassLoader classLoader, String name, boolean doLog) { - URL result = classLoader.getResource(name); - if (result == null) { - String confPath = System.getenv("HIVE_CONF_DIR"); - result = checkConfigFile(new File(confPath, name)); - if (result == null) { - String homePath = System.getenv("HIVE_HOME"); - String nameInConf = "conf" + File.pathSeparator + name; - result = checkConfigFile(new File(homePath, nameInConf)); - if (result == null) { - URI jarUri = null; - try { - jarUri = HiveConf.class.getProtectionDomain().getCodeSource().getLocation().toURI(); - } catch (Throwable e) { - if (l4j.isInfoEnabled()) { - l4j.info("Cannot get jar URI", e); - } - System.err.println("Cannot get jar URI: " + e.getMessage()); - } - result = checkConfigFile(new File(new File(jarUri).getParentFile(), nameInConf)); - } - } - } - if (doLog && l4j.isInfoEnabled()) { - l4j.info("Found configuration file " + result); - } - return result; - } - - private static URL checkConfigFile(File f) { - try { - return (f.exists() && f.isFile()) ? f.toURI().toURL() : null; - } catch (Throwable e) { - if (l4j.isInfoEnabled()) { - l4j.info("Error looking for config " + f, e); - } - System.err.println("Error looking for config " + f + ": " + e.getMessage()); - return null; - } - } - - - - - @InterfaceAudience.Private - public static final String PREFIX_LLAP = "llap."; - @InterfaceAudience.Private - public static final String PREFIX_HIVE_LLAP = "hive.llap."; - - /** - * Metastore related options that the db is initialized against. When a conf - * var in this is list is changed, the metastore instance for the CLI will - * be recreated so that the change will take effect. - */ - public static final HiveConf.ConfVars[] metaVars = { - HiveConf.ConfVars.METASTOREWAREHOUSE, - HiveConf.ConfVars.REPLDIR, - HiveConf.ConfVars.METASTOREURIS, - HiveConf.ConfVars.METASTORE_SERVER_PORT, - HiveConf.ConfVars.METASTORETHRIFTCONNECTIONRETRIES, - HiveConf.ConfVars.METASTORETHRIFTFAILURERETRIES, - HiveConf.ConfVars.METASTORE_CLIENT_CONNECT_RETRY_DELAY, - HiveConf.ConfVars.METASTORE_CLIENT_SOCKET_TIMEOUT, - HiveConf.ConfVars.METASTORE_CLIENT_SOCKET_LIFETIME, - HiveConf.ConfVars.METASTOREPWD, - HiveConf.ConfVars.METASTORECONNECTURLHOOK, - HiveConf.ConfVars.METASTORECONNECTURLKEY, - HiveConf.ConfVars.METASTORESERVERMINTHREADS, - HiveConf.ConfVars.METASTORESERVERMAXTHREADS, - HiveConf.ConfVars.METASTORE_TCP_KEEP_ALIVE, - HiveConf.ConfVars.METASTORE_INT_ORIGINAL, - HiveConf.ConfVars.METASTORE_INT_ARCHIVED, - HiveConf.ConfVars.METASTORE_INT_EXTRACTED, - HiveConf.ConfVars.METASTORE_KERBEROS_KEYTAB_FILE, - HiveConf.ConfVars.METASTORE_KERBEROS_PRINCIPAL, - HiveConf.ConfVars.METASTORE_USE_THRIFT_SASL, - HiveConf.ConfVars.METASTORE_TOKEN_SIGNATURE, - HiveConf.ConfVars.METASTORE_CACHE_PINOBJTYPES, - HiveConf.ConfVars.METASTORE_CONNECTION_POOLING_TYPE, - HiveConf.ConfVars.METASTORE_VALIDATE_TABLES, - HiveConf.ConfVars.METASTORE_DATANUCLEUS_INIT_COL_INFO, - HiveConf.ConfVars.METASTORE_VALIDATE_COLUMNS, - HiveConf.ConfVars.METASTORE_VALIDATE_CONSTRAINTS, - HiveConf.ConfVars.METASTORE_STORE_MANAGER_TYPE, - HiveConf.ConfVars.METASTORE_AUTO_CREATE_ALL, - HiveConf.ConfVars.METASTORE_TRANSACTION_ISOLATION, - HiveConf.ConfVars.METASTORE_CACHE_LEVEL2, - HiveConf.ConfVars.METASTORE_CACHE_LEVEL2_TYPE, - HiveConf.ConfVars.METASTORE_IDENTIFIER_FACTORY, - HiveConf.ConfVars.METASTORE_PLUGIN_REGISTRY_BUNDLE_CHECK, - HiveConf.ConfVars.METASTORE_AUTHORIZATION_STORAGE_AUTH_CHECKS, - HiveConf.ConfVars.METASTORE_BATCH_RETRIEVE_MAX, - HiveConf.ConfVars.METASTORE_EVENT_LISTENERS, - HiveConf.ConfVars.METASTORE_TRANSACTIONAL_EVENT_LISTENERS, - HiveConf.ConfVars.METASTORE_EVENT_CLEAN_FREQ, - HiveConf.ConfVars.METASTORE_EVENT_EXPIRY_DURATION, - HiveConf.ConfVars.METASTORE_EVENT_MESSAGE_FACTORY, - HiveConf.ConfVars.METASTORE_FILTER_HOOK, - HiveConf.ConfVars.METASTORE_RAW_STORE_IMPL, - HiveConf.ConfVars.METASTORE_END_FUNCTION_LISTENERS, - HiveConf.ConfVars.METASTORE_PART_INHERIT_TBL_PROPS, - HiveConf.ConfVars.METASTORE_BATCH_RETRIEVE_OBJECTS_MAX, - HiveConf.ConfVars.METASTORE_INIT_HOOKS, - HiveConf.ConfVars.METASTORE_PRE_EVENT_LISTENERS, - HiveConf.ConfVars.HMSHANDLERATTEMPTS, - HiveConf.ConfVars.HMSHANDLERINTERVAL, - HiveConf.ConfVars.HMSHANDLERFORCERELOADCONF, - HiveConf.ConfVars.METASTORE_PARTITION_NAME_WHITELIST_PATTERN, - HiveConf.ConfVars.METASTORE_ORM_RETRIEVE_MAPNULLS_AS_EMPTY_STRINGS, - HiveConf.ConfVars.METASTORE_DISALLOW_INCOMPATIBLE_COL_TYPE_CHANGES, - HiveConf.ConfVars.USERS_IN_ADMIN_ROLE, - HiveConf.ConfVars.HIVE_AUTHORIZATION_MANAGER, - HiveConf.ConfVars.HIVE_TXN_MANAGER, - HiveConf.ConfVars.HIVE_TXN_TIMEOUT, - HiveConf.ConfVars.HIVE_TXN_OPERATIONAL_PROPERTIES, - HiveConf.ConfVars.HIVE_TXN_HEARTBEAT_THREADPOOL_SIZE, - HiveConf.ConfVars.HIVE_TXN_MAX_OPEN_BATCH, - HiveConf.ConfVars.HIVE_TXN_RETRYABLE_SQLEX_REGEX, - HiveConf.ConfVars.HIVE_METASTORE_STATS_NDV_TUNER, - HiveConf.ConfVars.HIVE_METASTORE_STATS_NDV_DENSITY_FUNCTION, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_ENABLED, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_SIZE, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_MAX_PARTITIONS, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_FPP, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_MAX_VARIANCE, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_TTL, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_MAX_WRITER_WAIT, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_MAX_READER_WAIT, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_MAX_FULL, - HiveConf.ConfVars.METASTORE_AGGREGATE_STATS_CACHE_CLEAN_UNTIL, - HiveConf.ConfVars.METASTORE_FASTPATH, - HiveConf.ConfVars.METASTORE_HBASE_CATALOG_CACHE_SIZE, - HiveConf.ConfVars.METASTORE_HBASE_AGGREGATE_STATS_CACHE_SIZE, - HiveConf.ConfVars.METASTORE_HBASE_AGGREGATE_STATS_CACHE_MAX_PARTITIONS, - HiveConf.ConfVars.METASTORE_HBASE_AGGREGATE_STATS_CACHE_FALSE_POSITIVE_PROBABILITY, - HiveConf.ConfVars.METASTORE_HBASE_AGGREGATE_STATS_CACHE_MAX_VARIANCE, - HiveConf.ConfVars.METASTORE_HBASE_CACHE_TIME_TO_LIVE, - HiveConf.ConfVars.METASTORE_HBASE_CACHE_MAX_WRITER_WAIT, - HiveConf.ConfVars.METASTORE_HBASE_CACHE_MAX_READER_WAIT, - HiveConf.ConfVars.METASTORE_HBASE_CACHE_MAX_FULL, - HiveConf.ConfVars.METASTORE_HBASE_CACHE_CLEAN_UNTIL, - HiveConf.ConfVars.METASTORE_HBASE_CONNECTION_CLASS, - HiveConf.ConfVars.METASTORE_HBASE_AGGR_STATS_CACHE_ENTRIES, - HiveConf.ConfVars.METASTORE_HBASE_AGGR_STATS_MEMORY_TTL, - HiveConf.ConfVars.METASTORE_HBASE_AGGR_STATS_INVALIDATOR_FREQUENCY, - HiveConf.ConfVars.METASTORE_HBASE_AGGR_STATS_HBASE_TTL, - HiveConf.ConfVars.METASTORE_HBASE_FILE_METADATA_THREADS - }; - - /** - * User configurable Metastore vars - */ - public static final HiveConf.ConfVars[] metaConfVars = { - HiveConf.ConfVars.METASTORE_TRY_DIRECT_SQL, - HiveConf.ConfVars.METASTORE_TRY_DIRECT_SQL_DDL, - HiveConf.ConfVars.METASTORE_CLIENT_SOCKET_TIMEOUT, - HiveConf.ConfVars.METASTORE_PARTITION_NAME_WHITELIST_PATTERN, - HiveConf.ConfVars.METASTORE_CAPABILITY_CHECK - }; - - static { - for (ConfVars confVar : metaConfVars) { - metaConfs.put(confVar.varname, confVar); - } - } - - public static final String HIVE_LLAP_DAEMON_SERVICE_PRINCIPAL_NAME = "hive.llap.daemon.service.principal"; - public static final String HIVE_SERVER2_AUTHENTICATION_LDAP_USERMEMBERSHIPKEY_NAME = - "hive.server2.authentication.ldap.userMembershipKey"; - - /** - * dbVars are the parameters can be set per database. If these - * parameters are set as a database property, when switching to that - * database, the HiveConf variable will be changed. The change of these - * parameters will effectively change the DFS and MapReduce clusters - * for different databases. - */ - public static final HiveConf.ConfVars[] dbVars = { - HiveConf.ConfVars.HADOOPBIN, - HiveConf.ConfVars.METASTOREWAREHOUSE, - HiveConf.ConfVars.SCRATCHDIR - }; - - /** - * Variables used by LLAP daemons. - * TODO: Eventually auto-populate this based on prefixes. The conf variables - * will need to be renamed for this. - */ - private static final Set llapDaemonVarsSet; - - private static void populateLlapDaemonVarsSet(Set llapDaemonVarsSetLocal) { - llapDaemonVarsSetLocal.add(ConfVars.LLAP_IO_ENABLED.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_IO_MEMORY_MODE.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_ALLOCATOR_MIN_ALLOC.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_ALLOCATOR_MAX_ALLOC.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_ALLOCATOR_ARENA_COUNT.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_IO_MEMORY_MAX_SIZE.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_ALLOCATOR_DIRECT.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_USE_LRFU.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_LRFU_LAMBDA.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_CACHE_ALLOW_SYNTHETIC_FILEID.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_IO_USE_FILEID_PATH.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_IO_DECODING_METRICS_PERCENTILE_INTERVALS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_ORC_ENABLE_TIME_COUNTERS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_IO_THREADPOOL_SIZE.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_KERBEROS_PRINCIPAL.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_KERBEROS_KEYTAB_FILE.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_ZKSM_KERBEROS_PRINCIPAL.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_ZKSM_KERBEROS_KEYTAB_FILE.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_ZKSM_ZK_CONNECTION_STRING.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_SECURITY_ACL.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_MANAGEMENT_ACL.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_SECURITY_ACL_DENY.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_MANAGEMENT_ACL_DENY.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DELEGATION_TOKEN_LIFETIME.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_MANAGEMENT_RPC_PORT.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_WEB_AUTO_AUTH.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_RPC_NUM_HANDLERS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_WORK_DIRS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_YARN_SHUFFLE_PORT.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_YARN_CONTAINER_MB.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_SHUFFLE_DIR_WATCHER_ENABLED.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_AM_LIVENESS_HEARTBEAT_INTERVAL_MS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_AM_LIVENESS_CONNECTION_TIMEOUT_MS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_AM_LIVENESS_CONNECTION_SLEEP_BETWEEN_RETRIES_MS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_NUM_EXECUTORS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_RPC_PORT.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_MEMORY_PER_INSTANCE_MB.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_XMX_HEADROOM.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_VCPUS_PER_INSTANCE.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_NUM_FILE_CLEANER_THREADS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_FILE_CLEANUP_DELAY_SECONDS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_SERVICE_HOSTS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_SERVICE_REFRESH_INTERVAL.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_ALLOW_PERMANENT_FNS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_DOWNLOAD_PERMANENT_FNS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_TASK_SCHEDULER_WAIT_QUEUE_SIZE.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_WAIT_QUEUE_COMPARATOR_CLASS_NAME.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_TASK_SCHEDULER_ENABLE_PREEMPTION.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_TASK_PREEMPTION_METRICS_INTERVALS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_WEB_PORT.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_WEB_SSL.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_CONTAINER_ID.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_VALIDATE_ACLS.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_LOGGER.varname); - llapDaemonVarsSetLocal.add(ConfVars.LLAP_DAEMON_AM_USE_FQDN.varname); - } - - /** - * Get a set containing configuration parameter names used by LLAP Server isntances - * @return an unmodifiable set containing llap ConfVars - */ - public static final Set getLlapDaemonConfVars() { - return llapDaemonVarsSet; - } - - - /** - * ConfVars. - * - * These are the default configuration properties for Hive. Each HiveConf - * object is initialized as follows: - * - * 1) Hadoop configuration properties are applied. - * 2) ConfVar properties with non-null values are overlayed. - * 3) hive-site.xml properties are overlayed. - * - * WARNING: think twice before adding any Hadoop configuration properties - * with non-null values to this list as they will override any values defined - * in the underlying Hadoop configuration. - */ - public static enum ConfVars { - // QL execution stuff - SCRIPTWRAPPER("hive.exec.script.wrapper", null, ""), - PLAN("hive.exec.plan", "", ""), - STAGINGDIR("hive.exec.stagingdir", ".hive-staging", - "Directory name that will be created inside table locations in order to support HDFS encryption. " + - "This is replaces ${hive.exec.scratchdir} for query results with the exception of read-only tables. " + - "In all cases ${hive.exec.scratchdir} is still used for other temporary files, such as job plans."), - SCRATCHDIR("hive.exec.scratchdir", "/tmp/hive", - "HDFS root scratch dir for Hive jobs which gets created with write all (733) permission. " + - "For each connecting user, an HDFS scratch dir: ${hive.exec.scratchdir}/ is created, " + - "with ${hive.scratch.dir.permission}."), - REPLDIR("hive.repl.rootdir","/user/hive/repl/", - "HDFS root dir for all replication dumps."), - REPLCMENABLED("hive.repl.cm.enabled", false, - "Turn on ChangeManager, so delete files will go to cmrootdir."), - REPLCMDIR("hive.repl.cmrootdir","/user/hive/cmroot/", - "Root dir for ChangeManager, used for deleted files."), - REPLCMRETIAN("hive.repl.cm.retain","24h", - new TimeValidator(TimeUnit.HOURS), - "Time to retain removed files in cmrootdir."), - REPLCMINTERVAL("hive.repl.cm.interval","3600s", - new TimeValidator(TimeUnit.SECONDS), - "Inteval for cmroot cleanup thread."), - REPL_FUNCTIONS_ROOT_DIR("hive.repl.replica.functions.root.dir","/user/hive/repl/functions/", - "Root directory on the replica warehouse where the repl sub-system will store jars from the primary warehouse"), - LOCALSCRATCHDIR("hive.exec.local.scratchdir", - "${system:java.io.tmpdir}" + File.separator + "${system:user.name}", - "Local scratch space for Hive jobs"), - DOWNLOADED_RESOURCES_DIR("hive.downloaded.resources.dir", - "${system:java.io.tmpdir}" + File.separator + "${hive.session.id}_resources", - "Temporary local directory for added resources in the remote file system."), - SCRATCHDIRPERMISSION("hive.scratch.dir.permission", "700", - "The permission for the user specific scratch directories that get created."), - SUBMITVIACHILD("hive.exec.submitviachild", false, ""), - SUBMITLOCALTASKVIACHILD("hive.exec.submit.local.task.via.child", true, - "Determines whether local tasks (typically mapjoin hashtable generation phase) runs in \n" + - "separate JVM (true recommended) or not. \n" + - "Avoids the overhead of spawning new JVM, but can lead to out-of-memory issues."), - SCRIPTERRORLIMIT("hive.exec.script.maxerrsize", 100000, - "Maximum number of bytes a script is allowed to emit to standard error (per map-reduce task). \n" + - "This prevents runaway scripts from filling logs partitions to capacity"), - ALLOWPARTIALCONSUMP("hive.exec.script.allow.partial.consumption", false, - "When enabled, this option allows a user script to exit successfully without consuming \n" + - "all the data from the standard input."), - STREAMREPORTERPERFIX("stream.stderr.reporter.prefix", "reporter:", - "Streaming jobs that log to standard error with this prefix can log counter or status information."), - STREAMREPORTERENABLED("stream.stderr.reporter.enabled", true, - "Enable consumption of status and counter messages for streaming jobs."), - COMPRESSRESULT("hive.exec.compress.output", false, - "This controls whether the final outputs of a query (to a local/HDFS file or a Hive table) is compressed. \n" + - "The compression codec and other options are determined from Hadoop config variables mapred.output.compress*"), - COMPRESSINTERMEDIATE("hive.exec.compress.intermediate", false, - "This controls whether intermediate files produced by Hive between multiple map-reduce jobs are compressed. \n" + - "The compression codec and other options are determined from Hadoop config variables mapred.output.compress*"), - COMPRESSINTERMEDIATECODEC("hive.intermediate.compression.codec", "", ""), - COMPRESSINTERMEDIATETYPE("hive.intermediate.compression.type", "", ""), - BYTESPERREDUCER("hive.exec.reducers.bytes.per.reducer", (long) (256 * 1000 * 1000), - "size per reducer.The default is 256Mb, i.e if the input size is 1G, it will use 4 reducers."), - MAXREDUCERS("hive.exec.reducers.max", 1009, - "max number of reducers will be used. If the one specified in the configuration parameter mapred.reduce.tasks is\n" + - "negative, Hive will use this one as the max number of reducers when automatically determine number of reducers."), - PREEXECHOOKS("hive.exec.pre.hooks", "", - "Comma-separated list of pre-execution hooks to be invoked for each statement. \n" + - "A pre-execution hook is specified as the name of a Java class which implements the \n" + - "org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface."), - POSTEXECHOOKS("hive.exec.post.hooks", "", - "Comma-separated list of post-execution hooks to be invoked for each statement. \n" + - "A post-execution hook is specified as the name of a Java class which implements the \n" + - "org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface."), - ONFAILUREHOOKS("hive.exec.failure.hooks", "", - "Comma-separated list of on-failure hooks to be invoked for each statement. \n" + - "An on-failure hook is specified as the name of Java class which implements the \n" + - "org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface."), - QUERYREDACTORHOOKS("hive.exec.query.redactor.hooks", "", - "Comma-separated list of hooks to be invoked for each query which can \n" + - "tranform the query before it's placed in the job.xml file. Must be a Java class which \n" + - "extends from the org.apache.hadoop.hive.ql.hooks.Redactor abstract class."), - CLIENTSTATSPUBLISHERS("hive.client.stats.publishers", "", - "Comma-separated list of statistics publishers to be invoked on counters on each job. \n" + - "A client stats publisher is specified as the name of a Java class which implements the \n" + - "org.apache.hadoop.hive.ql.stats.ClientStatsPublisher interface."), - ATSHOOKQUEUECAPACITY("hive.ats.hook.queue.capacity", 64, - "Queue size for the ATS Hook executor. If the number of outstanding submissions \n" + - "to the ATS executor exceed this amount, the Hive ATS Hook will not try to log queries to ATS."), - EXECPARALLEL("hive.exec.parallel", false, "Whether to execute jobs in parallel"), - EXECPARALLETHREADNUMBER("hive.exec.parallel.thread.number", 8, - "How many jobs at most can be executed in parallel"), - HIVESPECULATIVEEXECREDUCERS("hive.mapred.reduce.tasks.speculative.execution", true, - "Whether speculative execution for reducers should be turned on. "), - HIVECOUNTERSPULLINTERVAL("hive.exec.counters.pull.interval", 1000L, - "The interval with which to poll the JobTracker for the counters the running job. \n" + - "The smaller it is the more load there will be on the jobtracker, the higher it is the less granular the caught will be."), - DYNAMICPARTITIONING("hive.exec.dynamic.partition", true, - "Whether or not to allow dynamic partitions in DML/DDL."), - DYNAMICPARTITIONINGMODE("hive.exec.dynamic.partition.mode", "strict", - "In strict mode, the user must specify at least one static partition\n" + - "in case the user accidentally overwrites all partitions.\n" + - "In nonstrict mode all partitions are allowed to be dynamic."), - DYNAMICPARTITIONMAXPARTS("hive.exec.max.dynamic.partitions", 1000, - "Maximum number of dynamic partitions allowed to be created in total."), - DYNAMICPARTITIONMAXPARTSPERNODE("hive.exec.max.dynamic.partitions.pernode", 100, - "Maximum number of dynamic partitions allowed to be created in each mapper/reducer node."), - MAXCREATEDFILES("hive.exec.max.created.files", 100000L, - "Maximum number of HDFS files created by all mappers/reducers in a MapReduce job."), - DEFAULTPARTITIONNAME("hive.exec.default.partition.name", "__HIVE_DEFAULT_PARTITION__", - "The default partition name in case the dynamic partition column value is null/empty string or any other values that cannot be escaped. \n" + - "This value must not contain any special character used in HDFS URI (e.g., ':', '%', '/' etc). \n" + - "The user has to be aware that the dynamic partition value should not contain this value to avoid confusions."), - DEFAULT_ZOOKEEPER_PARTITION_NAME("hive.lockmgr.zookeeper.default.partition.name", "__HIVE_DEFAULT_ZOOKEEPER_PARTITION__", ""), - - // Whether to show a link to the most failed task + debugging tips - SHOW_JOB_FAIL_DEBUG_INFO("hive.exec.show.job.failure.debug.info", true, - "If a job fails, whether to provide a link in the CLI to the task with the\n" + - "most failures, along with debugging hints if applicable."), - JOB_DEBUG_CAPTURE_STACKTRACES("hive.exec.job.debug.capture.stacktraces", true, - "Whether or not stack traces parsed from the task logs of a sampled failed task \n" + - "for each failed job should be stored in the SessionState"), - JOB_DEBUG_TIMEOUT("hive.exec.job.debug.timeout", 30000, ""), - TASKLOG_DEBUG_TIMEOUT("hive.exec.tasklog.debug.timeout", 20000, ""), - OUTPUT_FILE_EXTENSION("hive.output.file.extension", null, - "String used as a file extension for output files. \n" + - "If not set, defaults to the codec extension for text files (e.g. \".gz\"), or no extension otherwise."), - - HIVE_IN_TEST("hive.in.test", false, "internal usage only, true in test mode", true), - HIVE_IN_TEST_SHORT_LOGS("hive.in.test.short.logs", false, - "internal usage only, used only in test mode. If set true, when requesting the " + - "operation logs the short version (generated by LogDivertAppenderForTest) will be " + - "returned"), - HIVE_IN_TEST_REMOVE_LOGS("hive.in.test.remove.logs", true, - "internal usage only, used only in test mode. If set false, the operation logs, and the " + - "operation log directory will not be removed, so they can be found after the test runs."), - - HIVE_IN_TEZ_TEST("hive.in.tez.test", false, "internal use only, true when in testing tez", - true), - - LOCALMODEAUTO("hive.exec.mode.local.auto", false, - "Let Hive determine whether to run in local mode automatically"), - LOCALMODEMAXBYTES("hive.exec.mode.local.auto.inputbytes.max", 134217728L, - "When hive.exec.mode.local.auto is true, input bytes should less than this for local mode."), - LOCALMODEMAXINPUTFILES("hive.exec.mode.local.auto.input.files.max", 4, - "When hive.exec.mode.local.auto is true, the number of tasks should less than this for local mode."), - - DROPIGNORESNONEXISTENT("hive.exec.drop.ignorenonexistent", true, - "Do not report an error if DROP TABLE/VIEW/Index/Function specifies a non-existent table/view/index/function"), - - HIVEIGNOREMAPJOINHINT("hive.ignore.mapjoin.hint", true, "Ignore the mapjoin hint"), - - HIVE_FILE_MAX_FOOTER("hive.file.max.footer", 100, - "maximum number of lines for footer user can define for a table file"), - - HIVE_RESULTSET_USE_UNIQUE_COLUMN_NAMES("hive.resultset.use.unique.column.names", true, - "Make column names unique in the result set by qualifying column names with table alias if needed.\n" + - "Table alias will be added to column names for queries of type \"select *\" or \n" + - "if query explicitly uses table alias \"select r1.x..\"."), - - // Hadoop Configuration Properties - // Properties with null values are ignored and exist only for the purpose of giving us - // a symbolic name to reference in the Hive source code. Properties with non-null - // values will override any values set in the underlying Hadoop configuration. - HADOOPBIN("hadoop.bin.path", findHadoopBinary(), "", true), - YARNBIN("yarn.bin.path", findYarnBinary(), "", true), - HIVE_FS_HAR_IMPL("fs.har.impl", "org.apache.hadoop.hive.shims.HiveHarFileSystem", - "The implementation for accessing Hadoop Archives. Note that this won't be applicable to Hadoop versions less than 0.20"), - MAPREDMAXSPLITSIZE(FileInputFormat.SPLIT_MAXSIZE, 256000000L, "", true), - MAPREDMINSPLITSIZE(FileInputFormat.SPLIT_MINSIZE, 1L, "", true), - MAPREDMINSPLITSIZEPERNODE(CombineFileInputFormat.SPLIT_MINSIZE_PERNODE, 1L, "", true), - MAPREDMINSPLITSIZEPERRACK(CombineFileInputFormat.SPLIT_MINSIZE_PERRACK, 1L, "", true), - // The number of reduce tasks per job. Hadoop sets this value to 1 by default - // By setting this property to -1, Hive will automatically determine the correct - // number of reducers. - HADOOPNUMREDUCERS("mapreduce.job.reduces", -1, "", true), - - // Metastore stuff. Be sure to update HiveConf.metaVars when you add something here! - METASTOREDBTYPE("hive.metastore.db.type", "DERBY", new StringSet("DERBY", "ORACLE", "MYSQL", "MSSQL", "POSTGRES"), - "Type of database used by the metastore. Information schema & JDBCStorageHandler depend on it."), - METASTOREWAREHOUSE("hive.metastore.warehouse.dir", "/user/hive/warehouse", - "location of default database for the warehouse"), - METASTOREURIS("hive.metastore.uris", "", - "Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore."), - - METASTORE_CAPABILITY_CHECK("hive.metastore.client.capability.check", true, - "Whether to check client capabilities for potentially breaking API usage."), - METASTORE_FASTPATH("hive.metastore.fastpath", false, - "Used to avoid all of the proxies and object copies in the metastore. Note, if this is " + - "set, you MUST use a local metastore (hive.metastore.uris must be empty) otherwise " + - "undefined and most likely undesired behavior will result"), - METASTORE_FS_HANDLER_THREADS_COUNT("hive.metastore.fshandler.threads", 15, - "Number of threads to be allocated for metastore handler for fs operations."), - METASTORE_HBASE_CATALOG_CACHE_SIZE("hive.metastore.hbase.catalog.cache.size", 50000, "Maximum number of " + - "objects we will place in the hbase metastore catalog cache. The objects will be divided up by " + - "types that we need to cache."), - METASTORE_HBASE_AGGREGATE_STATS_CACHE_SIZE("hive.metastore.hbase.aggregate.stats.cache.size", 10000, - "Maximum number of aggregate stats nodes that we will place in the hbase metastore aggregate stats cache."), - METASTORE_HBASE_AGGREGATE_STATS_CACHE_MAX_PARTITIONS("hive.metastore.hbase.aggregate.stats.max.partitions", 10000, - "Maximum number of partitions that are aggregated per cache node."), - METASTORE_HBASE_AGGREGATE_STATS_CACHE_FALSE_POSITIVE_PROBABILITY("hive.metastore.hbase.aggregate.stats.false.positive.probability", - (float) 0.01, "Maximum false positive probability for the Bloom Filter used in each aggregate stats cache node (default 1%)."), - METASTORE_HBASE_AGGREGATE_STATS_CACHE_MAX_VARIANCE("hive.metastore.hbase.aggregate.stats.max.variance", (float) 0.1, - "Maximum tolerable variance in number of partitions between a cached node and our request (default 10%)."), - METASTORE_HBASE_CACHE_TIME_TO_LIVE("hive.metastore.hbase.cache.ttl", "600s", new TimeValidator(TimeUnit.SECONDS), - "Number of seconds for a cached node to be active in the cache before they become stale."), - METASTORE_HBASE_CACHE_MAX_WRITER_WAIT("hive.metastore.hbase.cache.max.writer.wait", "5000ms", new TimeValidator(TimeUnit.MILLISECONDS), - "Number of milliseconds a writer will wait to acquire the writelock before giving up."), - METASTORE_HBASE_CACHE_MAX_READER_WAIT("hive.metastore.hbase.cache.max.reader.wait", "1000ms", new TimeValidator(TimeUnit.MILLISECONDS), - "Number of milliseconds a reader will wait to acquire the readlock before giving up."), - METASTORE_HBASE_CACHE_MAX_FULL("hive.metastore.hbase.cache.max.full", (float) 0.9, - "Maximum cache full % after which the cache cleaner thread kicks in."), - METASTORE_HBASE_CACHE_CLEAN_UNTIL("hive.metastore.hbase.cache.clean.until", (float) 0.8, - "The cleaner thread cleans until cache reaches this % full size."), - METASTORE_HBASE_CONNECTION_CLASS("hive.metastore.hbase.connection.class", - "org.apache.hadoop.hive.metastore.hbase.VanillaHBaseConnection", - "Class used to connection to HBase"), - METASTORE_HBASE_AGGR_STATS_CACHE_ENTRIES("hive.metastore.hbase.aggr.stats.cache.entries", - 10000, "How many in stats objects to cache in memory"), - METASTORE_HBASE_AGGR_STATS_MEMORY_TTL("hive.metastore.hbase.aggr.stats.memory.ttl", "60s", - new TimeValidator(TimeUnit.SECONDS), - "Number of seconds stats objects live in memory after they are read from HBase."), - METASTORE_HBASE_AGGR_STATS_INVALIDATOR_FREQUENCY( - "hive.metastore.hbase.aggr.stats.invalidator.frequency", "5s", - new TimeValidator(TimeUnit.SECONDS), - "How often the stats cache scans its HBase entries and looks for expired entries"), - METASTORE_HBASE_AGGR_STATS_HBASE_TTL("hive.metastore.hbase.aggr.stats.hbase.ttl", "604800s", - new TimeValidator(TimeUnit.SECONDS), - "Number of seconds stats entries live in HBase cache after they are created. They may be" + - " invalided by updates or partition drops before this. Default is one week."), - METASTORE_HBASE_FILE_METADATA_THREADS("hive.metastore.hbase.file.metadata.threads", 1, - "Number of threads to use to read file metadata in background to cache it."), - - METASTORETHRIFTCONNECTIONRETRIES("hive.metastore.connect.retries", 3, - "Number of retries while opening a connection to metastore"), - METASTORETHRIFTFAILURERETRIES("hive.metastore.failure.retries", 1, - "Number of retries upon failure of Thrift metastore calls"), - METASTORE_SERVER_PORT("hive.metastore.port", 9083, "Hive metastore listener port"), - METASTORE_CLIENT_CONNECT_RETRY_DELAY("hive.metastore.client.connect.retry.delay", "1s", - new TimeValidator(TimeUnit.SECONDS), - "Number of seconds for the client to wait between consecutive connection attempts"), - METASTORE_CLIENT_SOCKET_TIMEOUT("hive.metastore.client.socket.timeout", "600s", - new TimeValidator(TimeUnit.SECONDS), - "MetaStore Client socket timeout in seconds"), - METASTORE_CLIENT_SOCKET_LIFETIME("hive.metastore.client.socket.lifetime", "0s", - new TimeValidator(TimeUnit.SECONDS), - "MetaStore Client socket lifetime in seconds. After this time is exceeded, client\n" + - "reconnects on the next MetaStore operation. A value of 0s means the connection\n" + - "has an infinite lifetime."), - METASTOREPWD("javax.jdo.option.ConnectionPassword", "mine", - "password to use against metastore database"), - METASTORECONNECTURLHOOK("hive.metastore.ds.connection.url.hook", "", - "Name of the hook to use for retrieving the JDO connection URL. If empty, the value in javax.jdo.option.ConnectionURL is used"), - METASTOREMULTITHREADED("javax.jdo.option.Multithreaded", true, - "Set this to true if multiple threads access metastore through JDO concurrently."), - METASTORECONNECTURLKEY("javax.jdo.option.ConnectionURL", - "jdbc:derby:;databaseName=metastore_db;create=true", - "JDBC connect string for a JDBC metastore.\n" + - "To use SSL to encrypt/authenticate the connection, provide database-specific SSL flag in the connection URL.\n" + - "For example, jdbc:postgresql://myhost/db?ssl=true for postgres database."), - METASTORE_DBACCESS_SSL_PROPS("hive.metastore.dbaccess.ssl.properties", "", - "Comma-separated SSL properties for metastore to access database when JDO connection URL\n" + - "enables SSL access. e.g. javax.net.ssl.trustStore=/tmp/truststore,javax.net.ssl.trustStorePassword=pwd."), - HMSHANDLERATTEMPTS("hive.hmshandler.retry.attempts", 10, - "The number of times to retry a HMSHandler call if there were a connection error."), - HMSHANDLERINTERVAL("hive.hmshandler.retry.interval", "2000ms", - new TimeValidator(TimeUnit.MILLISECONDS), "The time between HMSHandler retry attempts on failure."), - HMSHANDLERFORCERELOADCONF("hive.hmshandler.force.reload.conf", false, - "Whether to force reloading of the HMSHandler configuration (including\n" + - "the connection URL, before the next metastore query that accesses the\n" + - "datastore. Once reloaded, this value is reset to false. Used for\n" + - "testing only."), - METASTORESERVERMAXMESSAGESIZE("hive.metastore.server.max.message.size", 100*1024*1024L, - "Maximum message size in bytes a HMS will accept."), - METASTORESERVERMINTHREADS("hive.metastore.server.min.threads", 200, - "Minimum number of worker threads in the Thrift server's pool."), - METASTORESERVERMAXTHREADS("hive.metastore.server.max.threads", 1000, - "Maximum number of worker threads in the Thrift server's pool."), - METASTORE_TCP_KEEP_ALIVE("hive.metastore.server.tcp.keepalive", true, - "Whether to enable TCP keepalive for the metastore server. Keepalive will prevent accumulation of half-open connections."), - - METASTORE_INT_ORIGINAL("hive.metastore.archive.intermediate.original", - "_INTERMEDIATE_ORIGINAL", - "Intermediate dir suffixes used for archiving. Not important what they\n" + - "are, as long as collisions are avoided"), - METASTORE_INT_ARCHIVED("hive.metastore.archive.intermediate.archived", - "_INTERMEDIATE_ARCHIVED", ""), - METASTORE_INT_EXTRACTED("hive.metastore.archive.intermediate.extracted", - "_INTERMEDIATE_EXTRACTED", ""), - METASTORE_KERBEROS_KEYTAB_FILE("hive.metastore.kerberos.keytab.file", "", - "The path to the Kerberos Keytab file containing the metastore Thrift server's service principal."), - METASTORE_KERBEROS_PRINCIPAL("hive.metastore.kerberos.principal", - "hive-metastore/_HOST@EXAMPLE.COM", - "The service principal for the metastore Thrift server. \n" + - "The special string _HOST will be replaced automatically with the correct host name."), - METASTORE_USE_THRIFT_SASL("hive.metastore.sasl.enabled", false, - "If true, the metastore Thrift interface will be secured with SASL. Clients must authenticate with Kerberos."), - METASTORE_USE_THRIFT_FRAMED_TRANSPORT("hive.metastore.thrift.framed.transport.enabled", false, - "If true, the metastore Thrift interface will use TFramedTransport. When false (default) a standard TTransport is used."), - METASTORE_USE_THRIFT_COMPACT_PROTOCOL("hive.metastore.thrift.compact.protocol.enabled", false, - "If true, the metastore Thrift interface will use TCompactProtocol. When false (default) TBinaryProtocol will be used.\n" + - "Setting it to true will break compatibility with older clients running TBinaryProtocol."), - METASTORE_TOKEN_SIGNATURE("hive.metastore.token.signature", "", - "The delegation token service name to match when selecting a token from the current user's tokens."), - METASTORE_CLUSTER_DELEGATION_TOKEN_STORE_CLS("hive.cluster.delegation.token.store.class", - "org.apache.hadoop.hive.thrift.MemoryTokenStore", - "The delegation token store implementation. Set to org.apache.hadoop.hive.thrift.ZooKeeperTokenStore for load-balanced cluster."), - METASTORE_CLUSTER_DELEGATION_TOKEN_STORE_ZK_CONNECTSTR( - "hive.cluster.delegation.token.store.zookeeper.connectString", "", - "The ZooKeeper token store connect string. You can re-use the configuration value\n" + - "set in hive.zookeeper.quorum, by leaving this parameter unset."), - METASTORE_CLUSTER_DELEGATION_TOKEN_STORE_ZK_ZNODE( - "hive.cluster.delegation.token.store.zookeeper.znode", "/hivedelegation", - "The root path for token store data. Note that this is used by both HiveServer2 and\n" + - "MetaStore to store delegation Token. One directory gets created for each of them.\n" + - "The final directory names would have the servername appended to it (HIVESERVER2,\n" + - "METASTORE)."), - METASTORE_CLUSTER_DELEGATION_TOKEN_STORE_ZK_ACL( - "hive.cluster.delegation.token.store.zookeeper.acl", "", - "ACL for token store entries. Comma separated list of ACL entries. For example:\n" + - "sasl:hive/host1@MY.DOMAIN:cdrwa,sasl:hive/host2@MY.DOMAIN:cdrwa\n" + - "Defaults to all permissions for the hiveserver2/metastore process user."), - METASTORE_CACHE_PINOBJTYPES("hive.metastore.cache.pinobjtypes", "Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order", - "List of comma separated metastore object types that should be pinned in the cache"), - METASTORE_CONNECTION_POOLING_TYPE("datanucleus.connectionPoolingType", "HikariCP", new StringSet("BONECP", "DBCP", - "HikariCP", "NONE"), - "Specify connection pool library for datanucleus"), - METASTORE_CONNECTION_POOLING_MAX_CONNECTIONS("datanucleus.connectionPool.maxPoolSize", 10, - "Specify the maximum number of connections in the connection pool. Note: The configured size will be used by\n" + - "2 connection pools (TxnHandler and ObjectStore). When configuring the max connection pool size, it is\n" + - "recommended to take into account the number of metastore instances and the number of HiveServer2 instances\n" + - "configured with embedded metastore. To get optimal performance, set config to meet the following condition\n"+ - "(2 * pool_size * metastore_instances + 2 * pool_size * HS2_instances_with_embedded_metastore) = \n" + - "(2 * physical_core_count + hard_disk_count)."), - // Workaround for DN bug on Postgres: - // http://www.datanucleus.org/servlet/forum/viewthread_thread,7985_offset - METASTORE_DATANUCLEUS_INIT_COL_INFO("datanucleus.rdbms.initializeColumnInfo", "NONE", - "initializeColumnInfo setting for DataNucleus; set to NONE at least on Postgres."), - METASTORE_VALIDATE_TABLES("datanucleus.schema.validateTables", false, - "validates existing schema against code. turn this on if you want to verify existing schema"), - METASTORE_VALIDATE_COLUMNS("datanucleus.schema.validateColumns", false, - "validates existing schema against code. turn this on if you want to verify existing schema"), - METASTORE_VALIDATE_CONSTRAINTS("datanucleus.schema.validateConstraints", false, - "validates existing schema against code. turn this on if you want to verify existing schema"), - METASTORE_STORE_MANAGER_TYPE("datanucleus.storeManagerType", "rdbms", "metadata store type"), - METASTORE_AUTO_CREATE_ALL("datanucleus.schema.autoCreateAll", false, - "Auto creates necessary schema on a startup if one doesn't exist. Set this to false, after creating it once." - + "To enable auto create also set hive.metastore.schema.verification=false. Auto creation is not " - + "recommended for production use cases, run schematool command instead." ), - METASTORE_SCHEMA_VERIFICATION("hive.metastore.schema.verification", true, - "Enforce metastore schema version consistency.\n" + - "True: Verify that version information stored in is compatible with one from Hive jars. Also disable automatic\n" + - " schema migration attempt. Users are required to manually migrate schema after Hive upgrade which ensures\n" + - " proper metastore schema migration. (Default)\n" + - "False: Warn if the version information stored in metastore doesn't match with one from in Hive jars."), - METASTORE_SCHEMA_VERIFICATION_RECORD_VERSION("hive.metastore.schema.verification.record.version", false, - "When true the current MS version is recorded in the VERSION table. If this is disabled and verification is\n" + - " enabled the MS will be unusable."), - METASTORE_SCHEMA_INFO_CLASS("hive.metastore.schema.info.class", - "org.apache.hadoop.hive.metastore.MetaStoreSchemaInfo", - "Fully qualified class name for the metastore schema information class \n" - + "which is used by schematool to fetch the schema information.\n" - + " This class should implement the IMetaStoreSchemaInfo interface"), - METASTORE_TRANSACTION_ISOLATION("datanucleus.transactionIsolation", "read-committed", - "Default transaction isolation level for identity generation."), - METASTORE_CACHE_LEVEL2("datanucleus.cache.level2", false, - "Use a level 2 cache. Turn this off if metadata is changed independently of Hive metastore server"), - METASTORE_CACHE_LEVEL2_TYPE("datanucleus.cache.level2.type", "none", ""), - METASTORE_IDENTIFIER_FACTORY("datanucleus.identifierFactory", "datanucleus1", - "Name of the identifier factory to use when generating table/column names etc. \n" + - "'datanucleus1' is used for backward compatibility with DataNucleus v1"), - METASTORE_USE_LEGACY_VALUE_STRATEGY("datanucleus.rdbms.useLegacyNativeValueStrategy", true, ""), - METASTORE_PLUGIN_REGISTRY_BUNDLE_CHECK("datanucleus.plugin.pluginRegistryBundleCheck", "LOG", - "Defines what happens when plugin bundles are found and are duplicated [EXCEPTION|LOG|NONE]"), - METASTORE_BATCH_RETRIEVE_MAX("hive.metastore.batch.retrieve.max", 300, - "Maximum number of objects (tables/partitions) can be retrieved from metastore in one batch. \n" + - "The higher the number, the less the number of round trips is needed to the Hive metastore server, \n" + - "but it may also cause higher memory requirement at the client side."), - METASTORE_BATCH_RETRIEVE_OBJECTS_MAX( - "hive.metastore.batch.retrieve.table.partition.max", 1000, - "Maximum number of objects that metastore internally retrieves in one batch."), - - METASTORE_INIT_HOOKS("hive.metastore.init.hooks", "", - "A comma separated list of hooks to be invoked at the beginning of HMSHandler initialization. \n" + - "An init hook is specified as the name of Java class which extends org.apache.hadoop.hive.metastore.MetaStoreInitListener."), - METASTORE_PRE_EVENT_LISTENERS("hive.metastore.pre.event.listeners", "", - "List of comma separated listeners for metastore events."), - METASTORE_EVENT_LISTENERS("hive.metastore.event.listeners", "", - "A comma separated list of Java classes that implement the org.apache.hadoop.hive.metastore.MetaStoreEventListener" + - " interface. The metastore event and corresponding listener method will be invoked in separate JDO transactions. " + - "Alternatively, configure hive.metastore.transactional.event.listeners to ensure both are invoked in same JDO transaction."), - METASTORE_TRANSACTIONAL_EVENT_LISTENERS("hive.metastore.transactional.event.listeners", "", - "A comma separated list of Java classes that implement the org.apache.hadoop.hive.metastore.MetaStoreEventListener" + - " interface. Both the metastore event and corresponding listener method will be invoked in the same JDO transaction."), - METASTORE_EVENT_DB_LISTENER_TTL("hive.metastore.event.db.listener.timetolive", "86400s", - new TimeValidator(TimeUnit.SECONDS), - "time after which events will be removed from the database listener queue"), - METASTORE_AUTHORIZATION_STORAGE_AUTH_CHECKS("hive.metastore.authorization.storage.checks", false, - "Should the metastore do authorization checks against the underlying storage (usually hdfs) \n" + - "for operations like drop-partition (disallow the drop-partition if the user in\n" + - "question doesn't have permissions to delete the corresponding directory\n" + - "on the storage)."), - METASTORE_AUTHORIZATION_EXTERNALTABLE_DROP_CHECK("hive.metastore.authorization.storage.check.externaltable.drop", true, - "Should StorageBasedAuthorization check permission of the storage before dropping external table.\n" + - "StorageBasedAuthorization already does this check for managed table. For external table however,\n" + - "anyone who has read permission of the directory could drop external table, which is surprising.\n" + - "The flag is set to false by default to maintain backward compatibility."), - METASTORE_EVENT_CLEAN_FREQ("hive.metastore.event.clean.freq", "0s", - new TimeValidator(TimeUnit.SECONDS), - "Frequency at which timer task runs to purge expired events in metastore."), - METASTORE_EVENT_EXPIRY_DURATION("hive.metastore.event.expiry.duration", "0s", - new TimeValidator(TimeUnit.SECONDS), - "Duration after which events expire from events table"), - METASTORE_EVENT_MESSAGE_FACTORY("hive.metastore.event.message.factory", - "org.apache.hadoop.hive.metastore.messaging.json.JSONMessageFactory", - "Factory class for making encoding and decoding messages in the events generated."), - METASTORE_EXECUTE_SET_UGI("hive.metastore.execute.setugi", true, - "In unsecure mode, setting this property to true will cause the metastore to execute DFS operations using \n" + - "the client's reported user and group permissions. Note that this property must be set on \n" + - "both the client and server sides. Further note that its best effort. \n" + - "If client sets its to true and server sets it to false, client setting will be ignored."), - METASTORE_PARTITION_NAME_WHITELIST_PATTERN("hive.metastore.partition.name.whitelist.pattern", "", - "Partition names will be checked against this regex pattern and rejected if not matched."), - - METASTORE_INTEGER_JDO_PUSHDOWN("hive.metastore.integral.jdo.pushdown", false, - "Allow JDO query pushdown for integral partition columns in metastore. Off by default. This\n" + - "improves metastore perf for integral columns, especially if there's a large number of partitions.\n" + - "However, it doesn't work correctly with integral values that are not normalized (e.g. have\n" + - "leading zeroes, like 0012). If metastore direct SQL is enabled and works, this optimization\n" + - "is also irrelevant."), - METASTORE_TRY_DIRECT_SQL("hive.metastore.try.direct.sql", true, - "Whether the Hive metastore should try to use direct SQL queries instead of the\n" + - "DataNucleus for certain read paths. This can improve metastore performance when\n" + - "fetching many partitions or column statistics by orders of magnitude; however, it\n" + - "is not guaranteed to work on all RDBMS-es and all versions. In case of SQL failures,\n" + - "the metastore will fall back to the DataNucleus, so it's safe even if SQL doesn't\n" + - "work for all queries on your datastore. If all SQL queries fail (for example, your\n" + - "metastore is backed by MongoDB), you might want to disable this to save the\n" + - "try-and-fall-back cost."), - METASTORE_DIRECT_SQL_PARTITION_BATCH_SIZE("hive.metastore.direct.sql.batch.size", 0, - "Batch size for partition and other object retrieval from the underlying DB in direct\n" + - "SQL. For some DBs like Oracle and MSSQL, there are hardcoded or perf-based limitations\n" + - "that necessitate this. For DBs that can handle the queries, this isn't necessary and\n" + - "may impede performance. -1 means no batching, 0 means automatic batching."), - METASTORE_TRY_DIRECT_SQL_DDL("hive.metastore.try.direct.sql.ddl", true, - "Same as hive.metastore.try.direct.sql, for read statements within a transaction that\n" + - "modifies metastore data. Due to non-standard behavior in Postgres, if a direct SQL\n" + - "select query has incorrect syntax or something similar inside a transaction, the\n" + - "entire transaction will fail and fall-back to DataNucleus will not be possible. You\n" + - "should disable the usage of direct SQL inside transactions if that happens in your case."), - METASTORE_DIRECT_SQL_MAX_QUERY_LENGTH("hive.direct.sql.max.query.length", 100, "The maximum\n" + - " size of a query string (in KB)."), - METASTORE_DIRECT_SQL_MAX_ELEMENTS_IN_CLAUSE("hive.direct.sql.max.elements.in.clause", 1000, - "The maximum number of values in a IN clause. Once exceeded, it will be broken into\n" + - " multiple OR separated IN clauses."), - METASTORE_DIRECT_SQL_MAX_ELEMENTS_VALUES_CLAUSE("hive.direct.sql.max.elements.values.clause", - 1000, "The maximum number of values in a VALUES clause for INSERT statement."), - METASTORE_ORM_RETRIEVE_MAPNULLS_AS_EMPTY_STRINGS("hive.metastore.orm.retrieveMapNullsAsEmptyStrings",false, - "Thrift does not support nulls in maps, so any nulls present in maps retrieved from ORM must " + - "either be pruned or converted to empty strings. Some backing dbs such as Oracle persist empty strings " + - "as nulls, so we should set this parameter if we wish to reverse that behaviour. For others, " + - "pruning is the correct behaviour"), - METASTORE_DISALLOW_INCOMPATIBLE_COL_TYPE_CHANGES( - "hive.metastore.disallow.incompatible.col.type.changes", true, - "If true (default is false), ALTER TABLE operations which change the type of a\n" + - "column (say STRING) to an incompatible type (say MAP) are disallowed.\n" + - "RCFile default SerDe (ColumnarSerDe) serializes the values in such a way that the\n" + - "datatypes can be converted from string to any type. The map is also serialized as\n" + - "a string, which can be read as a string as well. However, with any binary\n" + - "serialization, this is not true. Blocking the ALTER TABLE prevents ClassCastExceptions\n" + - "when subsequently trying to access old partitions.\n" + - "\n" + - "Primitive types like INT, STRING, BIGINT, etc., are compatible with each other and are\n" + - "not blocked.\n" + - "\n" + - "See HIVE-4409 for more details."), - METASTORE_LIMIT_PARTITION_REQUEST("hive.metastore.limit.partition.request", -1, - "This limits the number of partitions that can be requested from the metastore for a given table.\n" + - "The default value \"-1\" means no limit."), - - NEWTABLEDEFAULTPARA("hive.table.parameters.default", "", - "Default property values for newly created tables"), - DDL_CTL_PARAMETERS_WHITELIST("hive.ddl.createtablelike.properties.whitelist", "", - "Table Properties to copy over when executing a Create Table Like."), - METASTORE_RAW_STORE_IMPL("hive.metastore.rawstore.impl", "org.apache.hadoop.hive.metastore.ObjectStore", - "Name of the class that implements org.apache.hadoop.hive.metastore.rawstore interface. \n" + - "This class is used to store and retrieval of raw metadata objects such as table, database"), - METASTORE_CACHED_RAW_STORE_IMPL("hive.metastore.cached.rawstore.impl", "org.apache.hadoop.hive.metastore.ObjectStore", - "Name of the wrapped RawStore class"), - METASTORE_CACHED_RAW_STORE_CACHE_UPDATE_FREQUENCY( - "hive.metastore.cached.rawstore.cache.update.frequency", "60", new TimeValidator( - TimeUnit.SECONDS), - "The time after which metastore cache is updated from metastore DB."), - METASTORE_TXN_STORE_IMPL("hive.metastore.txn.store.impl", - "org.apache.hadoop.hive.metastore.txn.CompactionTxnHandler", - "Name of class that implements org.apache.hadoop.hive.metastore.txn.TxnStore. This " + - "class is used to store and retrieve transactions and locks"), - METASTORE_CONNECTION_DRIVER("javax.jdo.option.ConnectionDriverName", "org.apache.derby.jdbc.EmbeddedDriver", - "Driver class name for a JDBC metastore"), - METASTORE_MANAGER_FACTORY_CLASS("javax.jdo.PersistenceManagerFactoryClass", - "org.datanucleus.api.jdo.JDOPersistenceManagerFactory", - "class implementing the jdo persistence"), - METASTORE_EXPRESSION_PROXY_CLASS("hive.metastore.expression.proxy", - "org.apache.hadoop.hive.ql.optimizer.ppr.PartitionExpressionForMetastore", ""), - METASTORE_DETACH_ALL_ON_COMMIT("javax.jdo.option.DetachAllOnCommit", true, - "Detaches all objects from session so that they can be used after transaction is committed"), - METASTORE_NON_TRANSACTIONAL_READ("javax.jdo.option.NonTransactionalRead", true, - "Reads outside of transactions"), - METASTORE_CONNECTION_USER_NAME("javax.jdo.option.ConnectionUserName", "APP", - "Username to use against metastore database"), - METASTORE_END_FUNCTION_LISTENERS("hive.metastore.end.function.listeners", "", - "List of comma separated listeners for the end of metastore functions."), - METASTORE_PART_INHERIT_TBL_PROPS("hive.metastore.partition.inherit.table.properties", "", - "List of comma separated keys occurring in table properties which will get inherited to newly created partitions. \n" + - "* implies all the keys will get inherited."), - METASTORE_FILTER_HOOK("hive.metastore.filter.hook", "org.apache.hadoop.hive.metastore.DefaultMetaStoreFilterHookImpl", - "Metastore hook class for filtering the metadata read results. If hive.security.authorization.manager" - + "is set to instance of HiveAuthorizerFactory, then this value is ignored."), - FIRE_EVENTS_FOR_DML("hive.metastore.dml.events", false, "If true, the metastore will be asked" + - " to fire events for DML operations"), - METASTORE_CLIENT_DROP_PARTITIONS_WITH_EXPRESSIONS("hive.metastore.client.drop.partitions.using.expressions", true, - "Choose whether dropping partitions with HCatClient pushes the partition-predicate to the metastore, " + - "or drops partitions iteratively"), - - METASTORE_AGGREGATE_STATS_CACHE_ENABLED("hive.metastore.aggregate.stats.cache.enabled", true, - "Whether aggregate stats caching is enabled or not."), - METASTORE_AGGREGATE_STATS_CACHE_SIZE("hive.metastore.aggregate.stats.cache.size", 10000, - "Maximum number of aggregate stats nodes that we will place in the metastore aggregate stats cache."), - METASTORE_AGGREGATE_STATS_CACHE_MAX_PARTITIONS("hive.metastore.aggregate.stats.cache.max.partitions", 10000, - "Maximum number of partitions that are aggregated per cache node."), - METASTORE_AGGREGATE_STATS_CACHE_FPP("hive.metastore.aggregate.stats.cache.fpp", (float) 0.01, - "Maximum false positive probability for the Bloom Filter used in each aggregate stats cache node (default 1%)."), - METASTORE_AGGREGATE_STATS_CACHE_MAX_VARIANCE("hive.metastore.aggregate.stats.cache.max.variance", (float) 0.01, - "Maximum tolerable variance in number of partitions between a cached node and our request (default 1%)."), - METASTORE_AGGREGATE_STATS_CACHE_TTL("hive.metastore.aggregate.stats.cache.ttl", "600s", new TimeValidator(TimeUnit.SECONDS), - "Number of seconds for a cached node to be active in the cache before they become stale."), - METASTORE_AGGREGATE_STATS_CACHE_MAX_WRITER_WAIT("hive.metastore.aggregate.stats.cache.max.writer.wait", "5000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Number of milliseconds a writer will wait to acquire the writelock before giving up."), - METASTORE_AGGREGATE_STATS_CACHE_MAX_READER_WAIT("hive.metastore.aggregate.stats.cache.max.reader.wait", "1000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Number of milliseconds a reader will wait to acquire the readlock before giving up."), - METASTORE_AGGREGATE_STATS_CACHE_MAX_FULL("hive.metastore.aggregate.stats.cache.max.full", (float) 0.9, - "Maximum cache full % after which the cache cleaner thread kicks in."), - METASTORE_AGGREGATE_STATS_CACHE_CLEAN_UNTIL("hive.metastore.aggregate.stats.cache.clean.until", (float) 0.8, - "The cleaner thread cleans until cache reaches this % full size."), - METASTORE_METRICS("hive.metastore.metrics.enabled", false, "Enable metrics on the metastore."), - METASTORE_INIT_METADATA_COUNT_ENABLED("hive.metastore.initial.metadata.count.enabled", true, - "Enable a metadata count at metastore startup for metrics."), - - // Metastore SSL settings - HIVE_METASTORE_USE_SSL("hive.metastore.use.SSL", false, - "Set this to true for using SSL encryption in HMS server."), - HIVE_METASTORE_SSL_KEYSTORE_PATH("hive.metastore.keystore.path", "", - "Metastore SSL certificate keystore location."), - HIVE_METASTORE_SSL_KEYSTORE_PASSWORD("hive.metastore.keystore.password", "", - "Metastore SSL certificate keystore password."), - HIVE_METASTORE_SSL_TRUSTSTORE_PATH("hive.metastore.truststore.path", "", - "Metastore SSL certificate truststore location."), - HIVE_METASTORE_SSL_TRUSTSTORE_PASSWORD("hive.metastore.truststore.password", "", - "Metastore SSL certificate truststore password."), - - // Parameters for exporting metadata on table drop (requires the use of the) - // org.apache.hadoop.hive.ql.parse.MetaDataExportListener preevent listener - METADATA_EXPORT_LOCATION("hive.metadata.export.location", "", - "When used in conjunction with the org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event listener, \n" + - "it is the location to which the metadata will be exported. The default is an empty string, which results in the \n" + - "metadata being exported to the current user's home directory on HDFS."), - MOVE_EXPORTED_METADATA_TO_TRASH("hive.metadata.move.exported.metadata.to.trash", true, - "When used in conjunction with the org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event listener, \n" + - "this setting determines if the metadata that is exported will subsequently be moved to the user's trash directory \n" + - "alongside the dropped table data. This ensures that the metadata will be cleaned up along with the dropped table data."), - - // CLI - CLIIGNOREERRORS("hive.cli.errors.ignore", false, ""), - CLIPRINTCURRENTDB("hive.cli.print.current.db", false, - "Whether to include the current database in the Hive prompt."), - CLIPROMPT("hive.cli.prompt", "hive", - "Command line prompt configuration value. Other hiveconf can be used in this configuration value. \n" + - "Variable substitution will only be invoked at the Hive CLI startup."), - CLIPRETTYOUTPUTNUMCOLS("hive.cli.pretty.output.num.cols", -1, - "The number of columns to use when formatting output generated by the DESCRIBE PRETTY table_name command.\n" + - "If the value of this property is -1, then Hive will use the auto-detected terminal width."), - - HIVE_METASTORE_FS_HANDLER_CLS("hive.metastore.fs.handler.class", "org.apache.hadoop.hive.metastore.HiveMetaStoreFsImpl", ""), - - // Things we log in the jobconf - - // session identifier - HIVESESSIONID("hive.session.id", "", ""), - // whether session is running in silent mode or not - HIVESESSIONSILENT("hive.session.silent", false, ""), - - HIVE_SESSION_HISTORY_ENABLED("hive.session.history.enabled", false, - "Whether to log Hive query, query plan, runtime statistics etc."), - - HIVEQUERYSTRING("hive.query.string", "", - "Query being executed (might be multiple per a session)"), - - HIVEQUERYID("hive.query.id", "", - "ID for query being executed (might be multiple per a session)"), - - HIVEJOBNAMELENGTH("hive.jobname.length", 50, "max jobname length"), - - // hive jar - HIVEJAR("hive.jar.path", "", - "The location of hive_cli.jar that is used when submitting jobs in a separate jvm."), - HIVEAUXJARS("hive.aux.jars.path", "", - "The location of the plugin jars that contain implementations of user defined functions and serdes."), - - // reloadable jars - HIVERELOADABLEJARS("hive.reloadable.aux.jars.path", "", - "The locations of the plugin jars, which can be a comma-separated folders or jars. Jars can be renewed\n" - + "by executing reload command. And these jars can be " - + "used as the auxiliary classes like creating a UDF or SerDe."), - - // hive added files and jars - HIVEADDEDFILES("hive.added.files.path", "", "This an internal parameter."), - HIVEADDEDJARS("hive.added.jars.path", "", "This an internal parameter."), - HIVEADDEDARCHIVES("hive.added.archives.path", "", "This an internal parameter."), - - HIVE_CURRENT_DATABASE("hive.current.database", "", "Database name used by current session. Internal usage only.", true), - - // for hive script operator - HIVES_AUTO_PROGRESS_TIMEOUT("hive.auto.progress.timeout", "0s", - new TimeValidator(TimeUnit.SECONDS), - "How long to run autoprogressor for the script/UDTF operators.\n" + - "Set to 0 for forever."), - HIVESCRIPTAUTOPROGRESS("hive.script.auto.progress", false, - "Whether Hive Transform/Map/Reduce Clause should automatically send progress information to TaskTracker \n" + - "to avoid the task getting killed because of inactivity. Hive sends progress information when the script is \n" + - "outputting to stderr. This option removes the need of periodically producing stderr messages, \n" + - "but users should be cautious because this may prevent infinite loops in the scripts to be killed by TaskTracker."), - HIVESCRIPTIDENVVAR("hive.script.operator.id.env.var", "HIVE_SCRIPT_OPERATOR_ID", - "Name of the environment variable that holds the unique script operator ID in the user's \n" + - "transform function (the custom mapper/reducer that the user has specified in the query)"), - HIVESCRIPTTRUNCATEENV("hive.script.operator.truncate.env", false, - "Truncate each environment variable for external script in scripts operator to 20KB (to fit system limits)"), - HIVESCRIPT_ENV_BLACKLIST("hive.script.operator.env.blacklist", - "hive.txn.valid.txns,hive.script.operator.env.blacklist", - "Comma separated list of keys from the configuration file not to convert to environment " + - "variables when envoking the script operator"), - HIVE_STRICT_CHECKS_LARGE_QUERY("hive.strict.checks.large.query", false, - "Enabling strict large query checks disallows the following:\n" + - " Orderby without limit.\n" + - " No partition being picked up for a query against partitioned table.\n" + - "Note that these checks currently do not consider data size, only the query pattern."), - HIVE_STRICT_CHECKS_TYPE_SAFETY("hive.strict.checks.type.safety", true, - "Enabling strict type safety checks disallows the following:\n" + - " Comparing bigints and strings.\n" + - " Comparing bigints and doubles."), - HIVE_STRICT_CHECKS_CARTESIAN("hive.strict.checks.cartesian.product", true, - "Enabling strict Cartesian join checks disallows the following:\n" + - " Cartesian product (cross join)."), - HIVE_STRICT_CHECKS_BUCKETING("hive.strict.checks.bucketing", true, - "Enabling strict bucketing checks disallows the following:\n" + - " Load into bucketed tables."), - - @Deprecated - HIVEMAPREDMODE("hive.mapred.mode", null, - "Deprecated; use hive.strict.checks.* settings instead."), - HIVEALIAS("hive.alias", "", ""), - HIVEMAPSIDEAGGREGATE("hive.map.aggr", true, "Whether to use map-side aggregation in Hive Group By queries"), - HIVEGROUPBYSKEW("hive.groupby.skewindata", false, "Whether there is skew in data to optimize group by queries"), - HIVEJOINEMITINTERVAL("hive.join.emit.interval", 1000, - "How many rows in the right-most join operand Hive should buffer before emitting the join result."), - HIVEJOINCACHESIZE("hive.join.cache.size", 25000, - "How many rows in the joining tables (except the streaming table) should be cached in memory."), - HIVE_PUSH_RESIDUAL_INNER("hive.join.inner.residual", false, - "Whether to push non-equi filter predicates within inner joins. This can improve efficiency in " - + "the evaluation of certain joins, since we will not be emitting rows which are thrown away by " - + "a Filter operator straight away. However, currently vectorization does not support them, thus " - + "enabling it is only recommended when vectorization is disabled."), - - // CBO related - HIVE_CBO_ENABLED("hive.cbo.enable", true, "Flag to control enabling Cost Based Optimizations using Calcite framework."), - HIVE_CBO_CNF_NODES_LIMIT("hive.cbo.cnf.maxnodes", -1, "When converting to conjunctive normal form (CNF), fail if" + - "the expression exceeds this threshold; the threshold is expressed in terms of number of nodes (leaves and" + - "interior nodes). -1 to not set up a threshold."), - HIVE_CBO_RETPATH_HIVEOP("hive.cbo.returnpath.hiveop", false, "Flag to control calcite plan to hive operator conversion"), - HIVE_CBO_EXTENDED_COST_MODEL("hive.cbo.costmodel.extended", false, "Flag to control enabling the extended cost model based on" - + "CPU, IO and cardinality. Otherwise, the cost model is based on cardinality."), - HIVE_CBO_COST_MODEL_CPU("hive.cbo.costmodel.cpu", "0.000001", "Default cost of a comparison"), - HIVE_CBO_COST_MODEL_NET("hive.cbo.costmodel.network", "150.0", "Default cost of a transfering a byte over network;" - + " expressed as multiple of CPU cost"), - HIVE_CBO_COST_MODEL_LFS_WRITE("hive.cbo.costmodel.local.fs.write", "4.0", "Default cost of writing a byte to local FS;" - + " expressed as multiple of NETWORK cost"), - HIVE_CBO_COST_MODEL_LFS_READ("hive.cbo.costmodel.local.fs.read", "4.0", "Default cost of reading a byte from local FS;" - + " expressed as multiple of NETWORK cost"), - HIVE_CBO_COST_MODEL_HDFS_WRITE("hive.cbo.costmodel.hdfs.write", "10.0", "Default cost of writing a byte to HDFS;" - + " expressed as multiple of Local FS write cost"), - HIVE_CBO_COST_MODEL_HDFS_READ("hive.cbo.costmodel.hdfs.read", "1.5", "Default cost of reading a byte from HDFS;" - + " expressed as multiple of Local FS read cost"), - HIVE_CBO_SHOW_WARNINGS("hive.cbo.show.warnings", true, - "Toggle display of CBO warnings like missing column stats"), - AGGR_JOIN_TRANSPOSE("hive.transpose.aggr.join", false, "push aggregates through join"), - SEMIJOIN_CONVERSION("hive.optimize.semijoin.conversion", true, "convert group by followed by inner equi join into semijoin"), - HIVE_COLUMN_ALIGNMENT("hive.order.columnalignment", true, "Flag to control whether we want to try to align" + - "columns in operators such as Aggregate or Join so that we try to reduce the number of shuffling stages"), - - // materialized views - HIVE_MATERIALIZED_VIEW_ENABLE_AUTO_REWRITING("hive.materializedview.rewriting", false, - "Whether to try to rewrite queries using the materialized views enabled for rewriting"), - HIVE_MATERIALIZED_VIEW_FILE_FORMAT("hive.materializedview.fileformat", "ORC", - new StringSet("none", "TextFile", "SequenceFile", "RCfile", "ORC"), - "Default file format for CREATE MATERIALIZED VIEW statement"), - HIVE_MATERIALIZED_VIEW_SERDE("hive.materializedview.serde", - "org.apache.hadoop.hive.ql.io.orc.OrcSerde", "Default SerDe used for materialized views"), - - // hive.mapjoin.bucket.cache.size has been replaced by hive.smbjoin.cache.row, - // need to remove by hive .13. Also, do not change default (see SMB operator) - HIVEMAPJOINBUCKETCACHESIZE("hive.mapjoin.bucket.cache.size", 100, ""), - - HIVEMAPJOINUSEOPTIMIZEDTABLE("hive.mapjoin.optimized.hashtable", true, - "Whether Hive should use memory-optimized hash table for MapJoin.\n" + - "Only works on Tez and Spark, because memory-optimized hashtable cannot be serialized."), - HIVEMAPJOINOPTIMIZEDTABLEPROBEPERCENT("hive.mapjoin.optimized.hashtable.probe.percent", - (float) 0.5, "Probing space percentage of the optimized hashtable"), - HIVEUSEHYBRIDGRACEHASHJOIN("hive.mapjoin.hybridgrace.hashtable", true, "Whether to use hybrid" + - "grace hash join as the join method for mapjoin. Tez only."), - HIVEHYBRIDGRACEHASHJOINMEMCHECKFREQ("hive.mapjoin.hybridgrace.memcheckfrequency", 1024, "For " + - "hybrid grace hash join, how often (how many rows apart) we check if memory is full. " + - "This number should be power of 2."), - HIVEHYBRIDGRACEHASHJOINMINWBSIZE("hive.mapjoin.hybridgrace.minwbsize", 524288, "For hybrid grace" + - "Hash join, the minimum write buffer size used by optimized hashtable. Default is 512 KB."), - HIVEHYBRIDGRACEHASHJOINMINNUMPARTITIONS("hive.mapjoin.hybridgrace.minnumpartitions", 16, "For" + - "Hybrid grace hash join, the minimum number of partitions to create."), - HIVEHASHTABLEWBSIZE("hive.mapjoin.optimized.hashtable.wbsize", 8 * 1024 * 1024, - "Optimized hashtable (see hive.mapjoin.optimized.hashtable) uses a chain of buffers to\n" + - "store data. This is one buffer size. HT may be slightly faster if this is larger, but for small\n" + - "joins unnecessary memory will be allocated and then trimmed."), - HIVEHYBRIDGRACEHASHJOINBLOOMFILTER("hive.mapjoin.hybridgrace.bloomfilter", true, "Whether to " + - "use BloomFilter in Hybrid grace hash join to minimize unnecessary spilling."), - - HIVESMBJOINCACHEROWS("hive.smbjoin.cache.rows", 10000, - "How many rows with the same key value should be cached in memory per smb joined table."), - HIVEGROUPBYMAPINTERVAL("hive.groupby.mapaggr.checkinterval", 100000, - "Number of rows after which size of the grouping keys/aggregation classes is performed"), - HIVEMAPAGGRHASHMEMORY("hive.map.aggr.hash.percentmemory", (float) 0.5, - "Portion of total memory to be used by map-side group aggregation hash table"), - HIVEMAPJOINFOLLOWEDBYMAPAGGRHASHMEMORY("hive.mapjoin.followby.map.aggr.hash.percentmemory", (float) 0.3, - "Portion of total memory to be used by map-side group aggregation hash table, when this group by is followed by map join"), - HIVEMAPAGGRMEMORYTHRESHOLD("hive.map.aggr.hash.force.flush.memory.threshold", (float) 0.9, - "The max memory to be used by map-side group aggregation hash table.\n" + - "If the memory usage is higher than this number, force to flush data"), - HIVEMAPAGGRHASHMINREDUCTION("hive.map.aggr.hash.min.reduction", (float) 0.5, - "Hash aggregation will be turned off if the ratio between hash table size and input rows is bigger than this number. \n" + - "Set to 1 to make sure hash aggregation is never turned off."), - HIVEMULTIGROUPBYSINGLEREDUCER("hive.multigroupby.singlereducer", true, - "Whether to optimize multi group by query to generate single M/R job plan. If the multi group by query has \n" + - "common group by keys, it will be optimized to generate single M/R job."), - HIVE_MAP_GROUPBY_SORT("hive.map.groupby.sorted", true, - "If the bucketing/sorting properties of the table exactly match the grouping key, whether to perform \n" + - "the group by in the mapper by using BucketizedHiveInputFormat. The only downside to this\n" + - "is that it limits the number of mappers to the number of files."), - HIVE_GROUPBY_POSITION_ALIAS("hive.groupby.position.alias", false, - "Whether to enable using Column Position Alias in Group By"), - HIVE_ORDERBY_POSITION_ALIAS("hive.orderby.position.alias", true, - "Whether to enable using Column Position Alias in Order By"), - @Deprecated - HIVE_GROUPBY_ORDERBY_POSITION_ALIAS("hive.groupby.orderby.position.alias", false, - "Whether to enable using Column Position Alias in Group By or Order By (deprecated).\n" + - "Use " + HIVE_ORDERBY_POSITION_ALIAS.varname + " or " + HIVE_GROUPBY_POSITION_ALIAS.varname + " instead"), - HIVE_NEW_JOB_GROUPING_SET_CARDINALITY("hive.new.job.grouping.set.cardinality", 30, - "Whether a new map-reduce job should be launched for grouping sets/rollups/cubes.\n" + - "For a query like: select a, b, c, count(1) from T group by a, b, c with rollup;\n" + - "4 rows are created per row: (a, b, c), (a, b, null), (a, null, null), (null, null, null).\n" + - "This can lead to explosion across map-reduce boundary if the cardinality of T is very high,\n" + - "and map-side aggregation does not do a very good job. \n" + - "\n" + - "This parameter decides if Hive should add an additional map-reduce job. If the grouping set\n" + - "cardinality (4 in the example above), is more than this value, a new MR job is added under the\n" + - "assumption that the original group by will reduce the data size."), - HIVE_GROUPBY_LIMIT_EXTRASTEP("hive.groupby.limit.extrastep", true, "This parameter decides if Hive should \n" + - "create new MR job for sorting final output"), - - // Max file num and size used to do a single copy (after that, distcp is used) - HIVE_EXEC_COPYFILE_MAXNUMFILES("hive.exec.copyfile.maxnumfiles", 1L, - "Maximum number of files Hive uses to do sequential HDFS copies between directories." + - "Distributed copies (distcp) will be used instead for larger numbers of files so that copies can be done faster."), - HIVE_EXEC_COPYFILE_MAXSIZE("hive.exec.copyfile.maxsize", 32L * 1024 * 1024 /*32M*/, - "Maximum file size (in bytes) that Hive uses to do single HDFS copies between directories." + - "Distributed copies (distcp) will be used instead for bigger files so that copies can be done faster."), - - // for hive udtf operator - HIVEUDTFAUTOPROGRESS("hive.udtf.auto.progress", false, - "Whether Hive should automatically send progress information to TaskTracker \n" + - "when using UDTF's to prevent the task getting killed because of inactivity. Users should be cautious \n" + - "because this may prevent TaskTracker from killing tasks with infinite loops."), - - HIVEDEFAULTFILEFORMAT("hive.default.fileformat", "TextFile", new StringSet("TextFile", "SequenceFile", "RCfile", "ORC", "parquet"), - "Default file format for CREATE TABLE statement. Users can explicitly override it by CREATE TABLE ... STORED AS [FORMAT]"), - HIVEDEFAULTMANAGEDFILEFORMAT("hive.default.fileformat.managed", "none", - new StringSet("none", "TextFile", "SequenceFile", "RCfile", "ORC", "parquet"), - "Default file format for CREATE TABLE statement applied to managed tables only. External tables will be \n" + - "created with format specified by hive.default.fileformat. Leaving this null will result in using hive.default.fileformat \n" + - "for all tables."), - HIVEQUERYRESULTFILEFORMAT("hive.query.result.fileformat", "SequenceFile", new StringSet("TextFile", "SequenceFile", "RCfile", "Llap"), - "Default file format for storing result of the query."), - HIVECHECKFILEFORMAT("hive.fileformat.check", true, "Whether to check file format or not when loading data files"), - - // default serde for rcfile - HIVEDEFAULTRCFILESERDE("hive.default.rcfile.serde", - "org.apache.hadoop.hive.serde2.columnar.LazyBinaryColumnarSerDe", - "The default SerDe Hive will use for the RCFile format"), - - HIVEDEFAULTSERDE("hive.default.serde", - "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe", - "The default SerDe Hive will use for storage formats that do not specify a SerDe."), - - SERDESUSINGMETASTOREFORSCHEMA("hive.serdes.using.metastore.for.schema", - "org.apache.hadoop.hive.ql.io.orc.OrcSerde," + - "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe," + - "org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe," + - "org.apache.hadoop.hive.serde2.dynamic_type.DynamicSerDe," + - "org.apache.hadoop.hive.serde2.MetadataTypedColumnsetSerDe," + - "org.apache.hadoop.hive.serde2.columnar.LazyBinaryColumnarSerDe," + - "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe," + - "org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe", - "SerDes retrieving schema from metastore. This is an internal parameter."), - - HIVEHISTORYFILELOC("hive.querylog.location", - "${system:java.io.tmpdir}" + File.separator + "${system:user.name}", - "Location of Hive run time structured log file"), - - HIVE_LOG_INCREMENTAL_PLAN_PROGRESS("hive.querylog.enable.plan.progress", true, - "Whether to log the plan's progress every time a job's progress is checked.\n" + - "These logs are written to the location specified by hive.querylog.location"), - - HIVE_LOG_INCREMENTAL_PLAN_PROGRESS_INTERVAL("hive.querylog.plan.progress.interval", "60000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "The interval to wait between logging the plan's progress.\n" + - "If there is a whole number percentage change in the progress of the mappers or the reducers,\n" + - "the progress is logged regardless of this value.\n" + - "The actual interval will be the ceiling of (this value divided by the value of\n" + - "hive.exec.counters.pull.interval) multiplied by the value of hive.exec.counters.pull.interval\n" + - "I.e. if it is not divide evenly by the value of hive.exec.counters.pull.interval it will be\n" + - "logged less frequently than specified.\n" + - "This only has an effect if hive.querylog.enable.plan.progress is set to true."), - - HIVESCRIPTSERDE("hive.script.serde", "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe", - "The default SerDe for transmitting input data to and reading output data from the user scripts. "), - HIVESCRIPTRECORDREADER("hive.script.recordreader", - "org.apache.hadoop.hive.ql.exec.TextRecordReader", - "The default record reader for reading data from the user scripts. "), - HIVESCRIPTRECORDWRITER("hive.script.recordwriter", - "org.apache.hadoop.hive.ql.exec.TextRecordWriter", - "The default record writer for writing data to the user scripts. "), - HIVESCRIPTESCAPE("hive.transform.escape.input", false, - "This adds an option to escape special chars (newlines, carriage returns and\n" + - "tabs) when they are passed to the user script. This is useful if the Hive tables\n" + - "can contain data that contains special characters."), - HIVEBINARYRECORDMAX("hive.binary.record.max.length", 1000, - "Read from a binary stream and treat each hive.binary.record.max.length bytes as a record. \n" + - "The last record before the end of stream can have less than hive.binary.record.max.length bytes"), - - HIVEHADOOPMAXMEM("hive.mapred.local.mem", 0, "mapper/reducer memory in local mode"), - - //small table file size - HIVESMALLTABLESFILESIZE("hive.mapjoin.smalltable.filesize", 25000000L, - "The threshold for the input file size of the small tables; if the file size is smaller \n" + - "than this threshold, it will try to convert the common join into map join"), - - - HIVE_SCHEMA_EVOLUTION("hive.exec.schema.evolution", true, - "Use schema evolution to convert self-describing file format's data to the schema desired by the reader."), - - HIVE_TRANSACTIONAL_TABLE_SCAN("hive.transactional.table.scan", false, - "internal usage only -- do transaction (ACID) table scan.", true), - - HIVE_TRANSACTIONAL_NUM_EVENTS_IN_MEMORY("hive.transactional.events.mem", 10000000, - "Vectorized ACID readers can often load all the delete events from all the delete deltas\n" - + "into memory to optimize for performance. To prevent out-of-memory errors, this is a rough heuristic\n" - + "that limits the total number of delete events that can be loaded into memory at once.\n" - + "Roughly it has been set to 10 million delete events per bucket (~160 MB).\n"), - - HIVESAMPLERANDOMNUM("hive.sample.seednumber", 0, - "A number used to percentage sampling. By changing this number, user will change the subsets of data sampled."), - - // test mode in hive mode - HIVETESTMODE("hive.test.mode", false, - "Whether Hive is running in test mode. If yes, it turns on sampling and prefixes the output tablename.", - false), - HIVETESTMODEPREFIX("hive.test.mode.prefix", "test_", - "In test mode, specfies prefixes for the output table", false), - HIVETESTMODESAMPLEFREQ("hive.test.mode.samplefreq", 32, - "In test mode, specfies sampling frequency for table, which is not bucketed,\n" + - "For example, the following query:\n" + - " INSERT OVERWRITE TABLE dest SELECT col1 from src\n" + - "would be converted to\n" + - " INSERT OVERWRITE TABLE test_dest\n" + - " SELECT col1 from src TABLESAMPLE (BUCKET 1 out of 32 on rand(1))", false), - HIVETESTMODENOSAMPLE("hive.test.mode.nosamplelist", "", - "In test mode, specifies comma separated table names which would not apply sampling", false), - HIVETESTMODEDUMMYSTATAGGR("hive.test.dummystats.aggregator", "", "internal variable for test", false), - HIVETESTMODEDUMMYSTATPUB("hive.test.dummystats.publisher", "", "internal variable for test", false), - HIVETESTCURRENTTIMESTAMP("hive.test.currenttimestamp", null, "current timestamp for test", false), - HIVETESTMODEROLLBACKTXN("hive.test.rollbacktxn", false, "For testing only. Will mark every ACID transaction aborted", false), - HIVETESTMODEFAILCOMPACTION("hive.test.fail.compaction", false, "For testing only. Will cause CompactorMR to fail.", false), - HIVETESTMODEFAILHEARTBEATER("hive.test.fail.heartbeater", false, "For testing only. Will cause Heartbeater to fail.", false), - - HIVEMERGEMAPFILES("hive.merge.mapfiles", true, - "Merge small files at the end of a map-only job"), - HIVEMERGEMAPREDFILES("hive.merge.mapredfiles", false, - "Merge small files at the end of a map-reduce job"), - HIVEMERGETEZFILES("hive.merge.tezfiles", false, "Merge small files at the end of a Tez DAG"), - HIVEMERGESPARKFILES("hive.merge.sparkfiles", false, "Merge small files at the end of a Spark DAG Transformation"), - HIVEMERGEMAPFILESSIZE("hive.merge.size.per.task", (long) (256 * 1000 * 1000), - "Size of merged files at the end of the job"), - HIVEMERGEMAPFILESAVGSIZE("hive.merge.smallfiles.avgsize", (long) (16 * 1000 * 1000), - "When the average output file size of a job is less than this number, Hive will start an additional \n" + - "map-reduce job to merge the output files into bigger files. This is only done for map-only jobs \n" + - "if hive.merge.mapfiles is true, and for map-reduce jobs if hive.merge.mapredfiles is true."), - HIVEMERGERCFILEBLOCKLEVEL("hive.merge.rcfile.block.level", true, ""), - HIVEMERGEORCFILESTRIPELEVEL("hive.merge.orcfile.stripe.level", true, - "When hive.merge.mapfiles, hive.merge.mapredfiles or hive.merge.tezfiles is enabled\n" + - "while writing a table with ORC file format, enabling this config will do stripe-level\n" + - "fast merge for small ORC files. Note that enabling this config will not honor the\n" + - "padding tolerance config (hive.exec.orc.block.padding.tolerance)."), - - HIVEUSEEXPLICITRCFILEHEADER("hive.exec.rcfile.use.explicit.header", true, - "If this is set the header for RCFiles will simply be RCF. If this is not\n" + - "set the header will be that borrowed from sequence files, e.g. SEQ- followed\n" + - "by the input and output RCFile formats."), - HIVEUSERCFILESYNCCACHE("hive.exec.rcfile.use.sync.cache", true, ""), - - HIVE_RCFILE_RECORD_INTERVAL("hive.io.rcfile.record.interval", Integer.MAX_VALUE, ""), - HIVE_RCFILE_COLUMN_NUMBER_CONF("hive.io.rcfile.column.number.conf", 0, ""), - HIVE_RCFILE_TOLERATE_CORRUPTIONS("hive.io.rcfile.tolerate.corruptions", false, ""), - HIVE_RCFILE_RECORD_BUFFER_SIZE("hive.io.rcfile.record.buffer.size", 4194304, ""), // 4M - - PARQUET_MEMORY_POOL_RATIO("parquet.memory.pool.ratio", 0.5f, - "Maximum fraction of heap that can be used by Parquet file writers in one task.\n" + - "It is for avoiding OutOfMemory error in tasks. Work with Parquet 1.6.0 and above.\n" + - "This config parameter is defined in Parquet, so that it does not start with 'hive.'."), - @Deprecated - HIVE_PARQUET_TIMESTAMP_SKIP_CONVERSION("hive.parquet.timestamp.skip.conversion", true, - "Current Hive implementation of parquet stores timestamps to UTC, this flag allows skipping of the conversion" + - "on reading parquet files from other tools"), - HIVE_PARQUET_INT96_DEFAULT_UTC_WRITE_ZONE("hive.parquet.mr.int96.enable.utc.write.zone", false, - "Enable this variable to use UTC as the default timezone for new Parquet tables."), - HIVE_INT_TIMESTAMP_CONVERSION_IN_SECONDS("hive.int.timestamp.conversion.in.seconds", false, - "Boolean/tinyint/smallint/int/bigint value is interpreted as milliseconds during the timestamp conversion.\n" + - "Set this flag to true to interpret the value as seconds to be consistent with float/double." ), - - HIVE_ORC_BASE_DELTA_RATIO("hive.exec.orc.base.delta.ratio", 8, "The ratio of base writer and\n" + - "delta writer in terms of STRIPE_SIZE and BUFFER_SIZE."), - HIVE_ORC_SPLIT_STRATEGY("hive.exec.orc.split.strategy", "HYBRID", new StringSet("HYBRID", "BI", "ETL"), - "This is not a user level config. BI strategy is used when the requirement is to spend less time in split generation" + - " as opposed to query execution (split generation does not read or cache file footers)." + - " ETL strategy is used when spending little more time in split generation is acceptable" + - " (split generation reads and caches file footers). HYBRID chooses between the above strategies" + - " based on heuristics."), - - HIVE_ORC_MS_FOOTER_CACHE_ENABLED("hive.orc.splits.ms.footer.cache.enabled", false, - "Whether to enable using file metadata cache in metastore for ORC file footers."), - HIVE_ORC_MS_FOOTER_CACHE_PPD("hive.orc.splits.ms.footer.cache.ppd.enabled", true, - "Whether to enable file footer cache PPD (hive.orc.splits.ms.footer.cache.enabled\n" + - "must also be set to true for this to work)."), - - HIVE_ORC_INCLUDE_FILE_FOOTER_IN_SPLITS("hive.orc.splits.include.file.footer", false, - "If turned on splits generated by orc will include metadata about the stripes in the file. This\n" + - "data is read remotely (from the client or HS2 machine) and sent to all the tasks."), - HIVE_ORC_SPLIT_DIRECTORY_BATCH_MS("hive.orc.splits.directory.batch.ms", 0, - "How long, in ms, to wait to batch input directories for processing during ORC split\n" + - "generation. 0 means process directories individually. This can increase the number of\n" + - "metastore calls if metastore metadata cache is used."), - HIVE_ORC_INCLUDE_FILE_ID_IN_SPLITS("hive.orc.splits.include.fileid", true, - "Include file ID in splits on file systems that support it."), - HIVE_ORC_ALLOW_SYNTHETIC_FILE_ID_IN_SPLITS("hive.orc.splits.allow.synthetic.fileid", true, - "Allow synthetic file ID in splits on file systems that don't have a native one."), - HIVE_ORC_CACHE_STRIPE_DETAILS_MEMORY_SIZE("hive.orc.cache.stripe.details.mem.size", "256Mb", - new SizeValidator(), "Maximum size of orc splits cached in the client."), - HIVE_ORC_COMPUTE_SPLITS_NUM_THREADS("hive.orc.compute.splits.num.threads", 10, - "How many threads orc should use to create splits in parallel."), - HIVE_ORC_CACHE_USE_SOFT_REFERENCES("hive.orc.cache.use.soft.references", false, - "By default, the cache that ORC input format uses to store orc file footer use hard\n" + - "references for the cached object. Setting this to true can help avoid out of memory\n" + - "issues under memory pressure (in some cases) at the cost of slight unpredictability in\n" + - "overall query performance."), - - HIVE_LAZYSIMPLE_EXTENDED_BOOLEAN_LITERAL("hive.lazysimple.extended_boolean_literal", false, - "LazySimpleSerde uses this property to determine if it treats 'T', 't', 'F', 'f',\n" + - "'1', and '0' as extened, legal boolean literal, in addition to 'TRUE' and 'FALSE'.\n" + - "The default is false, which means only 'TRUE' and 'FALSE' are treated as legal\n" + - "boolean literal."), - - HIVESKEWJOIN("hive.optimize.skewjoin", false, - "Whether to enable skew join optimization. \n" + - "The algorithm is as follows: At runtime, detect the keys with a large skew. Instead of\n" + - "processing those keys, store them temporarily in an HDFS directory. In a follow-up map-reduce\n" + - "job, process those skewed keys. The same key need not be skewed for all the tables, and so,\n" + - "the follow-up map-reduce job (for the skewed keys) would be much faster, since it would be a\n" + - "map-join."), - HIVEDYNAMICPARTITIONHASHJOIN("hive.optimize.dynamic.partition.hashjoin", false, - "Whether to enable dynamically partitioned hash join optimization. \n" + - "This setting is also dependent on enabling hive.auto.convert.join"), - HIVECONVERTJOIN("hive.auto.convert.join", true, - "Whether Hive enables the optimization about converting common join into mapjoin based on the input file size"), - HIVECONVERTJOINNOCONDITIONALTASK("hive.auto.convert.join.noconditionaltask", true, - "Whether Hive enables the optimization about converting common join into mapjoin based on the input file size. \n" + - "If this parameter is on, and the sum of size for n-1 of the tables/partitions for a n-way join is smaller than the\n" + - "specified size, the join is directly converted to a mapjoin (there is no conditional task)."), - - HIVECONVERTJOINNOCONDITIONALTASKTHRESHOLD("hive.auto.convert.join.noconditionaltask.size", - 10000000L, - "If hive.auto.convert.join.noconditionaltask is off, this parameter does not take affect. \n" + - "However, if it is on, and the sum of size for n-1 of the tables/partitions for a n-way join is smaller than this size, \n" + - "the join is directly converted to a mapjoin(there is no conditional task). The default is 10MB"), - HIVECONVERTJOINUSENONSTAGED("hive.auto.convert.join.use.nonstaged", false, - "For conditional joins, if input stream from a small alias can be directly applied to join operator without \n" + - "filtering or projection, the alias need not to be pre-staged in distributed cache via mapred local task.\n" + - "Currently, this is not working with vectorization or tez execution engine."), - HIVESKEWJOINKEY("hive.skewjoin.key", 100000, - "Determine if we get a skew key in join. If we see more than the specified number of rows with the same key in join operator,\n" + - "we think the key as a skew join key. "), - HIVESKEWJOINMAPJOINNUMMAPTASK("hive.skewjoin.mapjoin.map.tasks", 10000, - "Determine the number of map task used in the follow up map join job for a skew join.\n" + - "It should be used together with hive.skewjoin.mapjoin.min.split to perform a fine grained control."), - HIVESKEWJOINMAPJOINMINSPLIT("hive.skewjoin.mapjoin.min.split", 33554432L, - "Determine the number of map task at most used in the follow up map join job for a skew join by specifying \n" + - "the minimum split size. It should be used together with hive.skewjoin.mapjoin.map.tasks to perform a fine grained control."), - - HIVESENDHEARTBEAT("hive.heartbeat.interval", 1000, - "Send a heartbeat after this interval - used by mapjoin and filter operators"), - HIVELIMITMAXROWSIZE("hive.limit.row.max.size", 100000L, - "When trying a smaller subset of data for simple LIMIT, how much size we need to guarantee each row to have at least."), - HIVELIMITOPTLIMITFILE("hive.limit.optimize.limit.file", 10, - "When trying a smaller subset of data for simple LIMIT, maximum number of files we can sample."), - HIVELIMITOPTENABLE("hive.limit.optimize.enable", false, - "Whether to enable to optimization to trying a smaller subset of data for simple LIMIT first."), - HIVELIMITOPTMAXFETCH("hive.limit.optimize.fetch.max", 50000, - "Maximum number of rows allowed for a smaller subset of data for simple LIMIT, if it is a fetch query. \n" + - "Insert queries are not restricted by this limit."), - HIVELIMITPUSHDOWNMEMORYUSAGE("hive.limit.pushdown.memory.usage", 0.1f, new RatioValidator(), - "The fraction of available memory to be used for buffering rows in Reducesink operator for limit pushdown optimization."), - - @Deprecated - HIVELIMITTABLESCANPARTITION("hive.limit.query.max.table.partition", -1, - "This controls how many partitions can be scanned for each partitioned table.\n" + - "The default value \"-1\" means no limit. (DEPRECATED: Please use " + ConfVars.METASTORE_LIMIT_PARTITION_REQUEST + " in the metastore instead.)"), - - HIVECONVERTJOINMAXENTRIESHASHTABLE("hive.auto.convert.join.hashtable.max.entries", 40000000L, - "If hive.auto.convert.join.noconditionaltask is off, this parameter does not take affect. \n" + - "However, if it is on, and the predicated number of entries in hashtable for a given join \n" + - "input is larger than this number, the join will not be converted to a mapjoin. \n" + - "The value \"-1\" means no limit."), - HIVEHASHTABLEKEYCOUNTADJUSTMENT("hive.hashtable.key.count.adjustment", 1.0f, - "Adjustment to mapjoin hashtable size derived from table and column statistics; the estimate" + - " of the number of keys is divided by this value. If the value is 0, statistics are not used" + - "and hive.hashtable.initialCapacity is used instead."), - HIVEHASHTABLETHRESHOLD("hive.hashtable.initialCapacity", 100000, "Initial capacity of " + - "mapjoin hashtable if statistics are absent, or if hive.hashtable.key.count.adjustment is set to 0"), - HIVEHASHTABLELOADFACTOR("hive.hashtable.loadfactor", (float) 0.75, ""), - HIVEHASHTABLEFOLLOWBYGBYMAXMEMORYUSAGE("hive.mapjoin.followby.gby.localtask.max.memory.usage", (float) 0.55, - "This number means how much memory the local task can take to hold the key/value into an in-memory hash table \n" + - "when this map join is followed by a group by. If the local task's memory usage is more than this number, \n" + - "the local task will abort by itself. It means the data of the small table is too large to be held in memory."), - HIVEHASHTABLEMAXMEMORYUSAGE("hive.mapjoin.localtask.max.memory.usage", (float) 0.90, - "This number means how much memory the local task can take to hold the key/value into an in-memory hash table. \n" + - "If the local task's memory usage is more than this number, the local task will abort by itself. \n" + - "It means the data of the small table is too large to be held in memory."), - HIVEHASHTABLESCALE("hive.mapjoin.check.memory.rows", (long)100000, - "The number means after how many rows processed it needs to check the memory usage"), - - HIVEDEBUGLOCALTASK("hive.debug.localtask",false, ""), - - HIVEINPUTFORMAT("hive.input.format", "org.apache.hadoop.hive.ql.io.CombineHiveInputFormat", - "The default input format. Set this to HiveInputFormat if you encounter problems with CombineHiveInputFormat."), - HIVETEZINPUTFORMAT("hive.tez.input.format", "org.apache.hadoop.hive.ql.io.HiveInputFormat", - "The default input format for tez. Tez groups splits in the AM."), - - HIVETEZCONTAINERSIZE("hive.tez.container.size", -1, - "By default Tez will spawn containers of the size of a mapper. This can be used to overwrite."), - HIVETEZCPUVCORES("hive.tez.cpu.vcores", -1, - "By default Tez will ask for however many cpus map-reduce is configured to use per container.\n" + - "This can be used to overwrite."), - HIVETEZJAVAOPTS("hive.tez.java.opts", null, - "By default Tez will use the Java options from map tasks. This can be used to overwrite."), - HIVETEZLOGLEVEL("hive.tez.log.level", "INFO", - "The log level to use for tasks executing as part of the DAG.\n" + - "Used only if hive.tez.java.opts is used to configure Java options."), - HIVETEZHS2USERACCESS("hive.tez.hs2.user.access", true, - "Whether to grant access to the hs2/hive user for queries"), - HIVEQUERYNAME ("hive.query.name", null, - "This named is used by Tez to set the dag name. This name in turn will appear on \n" + - "the Tez UI representing the work that was done."), - - HIVEOPTIMIZEBUCKETINGSORTING("hive.optimize.bucketingsorting", true, - "Don't create a reducer for enforcing \n" + - "bucketing/sorting for queries of the form: \n" + - "insert overwrite table T2 select * from T1;\n" + - "where T1 and T2 are bucketed/sorted by the same keys into the same number of buckets."), - HIVEPARTITIONER("hive.mapred.partitioner", "org.apache.hadoop.hive.ql.io.DefaultHivePartitioner", ""), - HIVEENFORCESORTMERGEBUCKETMAPJOIN("hive.enforce.sortmergebucketmapjoin", false, - "If the user asked for sort-merge bucketed map-side join, and it cannot be performed, should the query fail or not ?"), - HIVEENFORCEBUCKETMAPJOIN("hive.enforce.bucketmapjoin", false, - "If the user asked for bucketed map-side join, and it cannot be performed, \n" + - "should the query fail or not ? For example, if the buckets in the tables being joined are\n" + - "not a multiple of each other, bucketed map-side join cannot be performed, and the\n" + - "query will fail if hive.enforce.bucketmapjoin is set to true."), - - HIVE_AUTO_SORTMERGE_JOIN("hive.auto.convert.sortmerge.join", false, - "Will the join be automatically converted to a sort-merge join, if the joined tables pass the criteria for sort-merge join."), - HIVE_AUTO_SORTMERGE_JOIN_REDUCE("hive.auto.convert.sortmerge.join.reduce.side", true, - "Whether hive.auto.convert.sortmerge.join (if enabled) should be applied to reduce side."), - HIVE_AUTO_SORTMERGE_JOIN_BIGTABLE_SELECTOR( - "hive.auto.convert.sortmerge.join.bigtable.selection.policy", - "org.apache.hadoop.hive.ql.optimizer.AvgPartitionSizeBasedBigTableSelectorForAutoSMJ", - "The policy to choose the big table for automatic conversion to sort-merge join. \n" + - "By default, the table with the largest partitions is assigned the big table. All policies are:\n" + - ". based on position of the table - the leftmost table is selected\n" + - "org.apache.hadoop.hive.ql.optimizer.LeftmostBigTableSMJ.\n" + - ". based on total size (all the partitions selected in the query) of the table \n" + - "org.apache.hadoop.hive.ql.optimizer.TableSizeBasedBigTableSelectorForAutoSMJ.\n" + - ". based on average size (all the partitions selected in the query) of the table \n" + - "org.apache.hadoop.hive.ql.optimizer.AvgPartitionSizeBasedBigTableSelectorForAutoSMJ.\n" + - "New policies can be added in future."), - HIVE_AUTO_SORTMERGE_JOIN_TOMAPJOIN( - "hive.auto.convert.sortmerge.join.to.mapjoin", false, - "If hive.auto.convert.sortmerge.join is set to true, and a join was converted to a sort-merge join, \n" + - "this parameter decides whether each table should be tried as a big table, and effectively a map-join should be\n" + - "tried. That would create a conditional task with n+1 children for a n-way join (1 child for each table as the\n" + - "big table), and the backup task will be the sort-merge join. In some cases, a map-join would be faster than a\n" + - "sort-merge join, if there is no advantage of having the output bucketed and sorted. For example, if a very big sorted\n" + - "and bucketed table with few files (say 10 files) are being joined with a very small sorter and bucketed table\n" + - "with few files (10 files), the sort-merge join will only use 10 mappers, and a simple map-only join might be faster\n" + - "if the complete small table can fit in memory, and a map-join can be performed."), - - HIVESCRIPTOPERATORTRUST("hive.exec.script.trust", false, ""), - HIVEROWOFFSET("hive.exec.rowoffset", false, - "Whether to provide the row offset virtual column"), - - // Optimizer - HIVEOPTINDEXFILTER("hive.optimize.index.filter", false, - "Whether to enable automatic use of indexes"), - HIVEINDEXAUTOUPDATE("hive.optimize.index.autoupdate", false, - "Whether to update stale indexes automatically"), - HIVEOPTPPD("hive.optimize.ppd", true, - "Whether to enable predicate pushdown"), - HIVEOPTPPD_WINDOWING("hive.optimize.ppd.windowing", true, - "Whether to enable predicate pushdown through windowing"), - HIVEPPDRECOGNIZETRANSITIVITY("hive.ppd.recognizetransivity", true, - "Whether to transitively replicate predicate filters over equijoin conditions."), - HIVEPPDREMOVEDUPLICATEFILTERS("hive.ppd.remove.duplicatefilters", true, - "During query optimization, filters may be pushed down in the operator tree. \n" + - "If this config is true only pushed down filters remain in the operator tree, \n" + - "and the original filter is removed. If this config is false, the original filter \n" + - "is also left in the operator tree at the original place."), - HIVEPOINTLOOKUPOPTIMIZER("hive.optimize.point.lookup", true, - "Whether to transform OR clauses in Filter operators into IN clauses"), - HIVEPOINTLOOKUPOPTIMIZERMIN("hive.optimize.point.lookup.min", 31, - "Minimum number of OR clauses needed to transform into IN clauses"), - HIVECOUNTDISTINCTOPTIMIZER("hive.optimize.countdistinct", true, - "Whether to transform count distinct into two stages"), - HIVEPARTITIONCOLUMNSEPARATOR("hive.optimize.partition.columns.separate", true, - "Extract partition columns from IN clauses"), - // Constant propagation optimizer - HIVEOPTCONSTANTPROPAGATION("hive.optimize.constant.propagation", true, "Whether to enable constant propagation optimizer"), - HIVEIDENTITYPROJECTREMOVER("hive.optimize.remove.identity.project", true, "Removes identity project from operator tree"), - HIVEMETADATAONLYQUERIES("hive.optimize.metadataonly", false, - "Whether to eliminate scans of the tables from which no columns are selected. Note\n" + - "that, when selecting from empty tables with data files, this can produce incorrect\n" + - "results, so it's disabled by default. It works correctly for normal tables."), - HIVENULLSCANOPTIMIZE("hive.optimize.null.scan", true, "Dont scan relations which are guaranteed to not generate any rows"), - HIVEOPTPPD_STORAGE("hive.optimize.ppd.storage", true, - "Whether to push predicates down to storage handlers"), - HIVEOPTGROUPBY("hive.optimize.groupby", true, - "Whether to enable the bucketed group by from bucketed partitions/tables."), - HIVEOPTBUCKETMAPJOIN("hive.optimize.bucketmapjoin", false, - "Whether to try bucket mapjoin"), - HIVEOPTSORTMERGEBUCKETMAPJOIN("hive.optimize.bucketmapjoin.sortedmerge", false, - "Whether to try sorted bucket merge map join"), - HIVEOPTREDUCEDEDUPLICATION("hive.optimize.reducededuplication", true, - "Remove extra map-reduce jobs if the data is already clustered by the same key which needs to be used again. \n" + - "This should always be set to true. Since it is a new feature, it has been made configurable."), - HIVEOPTREDUCEDEDUPLICATIONMINREDUCER("hive.optimize.reducededuplication.min.reducer", 4, - "Reduce deduplication merges two RSs by moving key/parts/reducer-num of the child RS to parent RS. \n" + - "That means if reducer-num of the child RS is fixed (order by or forced bucketing) and small, it can make very slow, single MR.\n" + - "The optimization will be automatically disabled if number of reducers would be less than specified value."), - - HIVEOPTSORTDYNAMICPARTITION("hive.optimize.sort.dynamic.partition", false, - "When enabled dynamic partitioning column will be globally sorted.\n" + - "This way we can keep only one record writer open for each partition value\n" + - "in the reducer thereby reducing the memory pressure on reducers."), - - HIVESAMPLINGFORORDERBY("hive.optimize.sampling.orderby", false, "Uses sampling on order-by clause for parallel execution."), - HIVESAMPLINGNUMBERFORORDERBY("hive.optimize.sampling.orderby.number", 1000, "Total number of samples to be obtained."), - HIVESAMPLINGPERCENTFORORDERBY("hive.optimize.sampling.orderby.percent", 0.1f, new RatioValidator(), - "Probability with which a row will be chosen."), - HIVEOPTIMIZEDISTINCTREWRITE("hive.optimize.distinct.rewrite", true, "When applicable this " - + "optimization rewrites distinct aggregates from a single stage to multi-stage " - + "aggregation. This may not be optimal in all cases. Ideally, whether to trigger it or " - + "not should be cost based decision. Until Hive formalizes cost model for this, this is config driven."), - // whether to optimize union followed by select followed by filesink - // It creates sub-directories in the final output, so should not be turned on in systems - // where MAPREDUCE-1501 is not present - HIVE_OPTIMIZE_UNION_REMOVE("hive.optimize.union.remove", false, - "Whether to remove the union and push the operators between union and the filesink above union. \n" + - "This avoids an extra scan of the output by union. This is independently useful for union\n" + - "queries, and specially useful when hive.optimize.skewjoin.compiletime is set to true, since an\n" + - "extra union is inserted.\n" + - "\n" + - "The merge is triggered if either of hive.merge.mapfiles or hive.merge.mapredfiles is set to true.\n" + - "If the user has set hive.merge.mapfiles to true and hive.merge.mapredfiles to false, the idea was the\n" + - "number of reducers are few, so the number of files anyway are small. However, with this optimization,\n" + - "we are increasing the number of files possibly by a big margin. So, we merge aggressively."), - HIVEOPTCORRELATION("hive.optimize.correlation", false, "exploit intra-query correlations."), - - HIVE_OPTIMIZE_LIMIT_TRANSPOSE("hive.optimize.limittranspose", false, - "Whether to push a limit through left/right outer join or union. If the value is true and the size of the outer\n" + - "input is reduced enough (as specified in hive.optimize.limittranspose.reduction), the limit is pushed\n" + - "to the outer input or union; to remain semantically correct, the limit is kept on top of the join or the union too."), - HIVE_OPTIMIZE_LIMIT_TRANSPOSE_REDUCTION_PERCENTAGE("hive.optimize.limittranspose.reductionpercentage", 1.0f, - "When hive.optimize.limittranspose is true, this variable specifies the minimal reduction of the\n" + - "size of the outer input of the join or input of the union that we should get in order to apply the rule."), - HIVE_OPTIMIZE_LIMIT_TRANSPOSE_REDUCTION_TUPLES("hive.optimize.limittranspose.reductiontuples", (long) 0, - "When hive.optimize.limittranspose is true, this variable specifies the minimal reduction in the\n" + - "number of tuples of the outer input of the join or the input of the union that you should get in order to apply the rule."), - - HIVE_OPTIMIZE_REDUCE_WITH_STATS("hive.optimize.filter.stats.reduction", false, "Whether to simplify comparison\n" + - "expressions in filter operators using column stats"), - - HIVE_OPTIMIZE_SKEWJOIN_COMPILETIME("hive.optimize.skewjoin.compiletime", false, - "Whether to create a separate plan for skewed keys for the tables in the join.\n" + - "This is based on the skewed keys stored in the metadata. At compile time, the plan is broken\n" + - "into different joins: one for the skewed keys, and the other for the remaining keys. And then,\n" + - "a union is performed for the 2 joins generated above. So unless the same skewed key is present\n" + - "in both the joined tables, the join for the skewed key will be performed as a map-side join.\n" + - "\n" + - "The main difference between this parameter and hive.optimize.skewjoin is that this parameter\n" + - "uses the skew information stored in the metastore to optimize the plan at compile time itself.\n" + - "If there is no skew information in the metadata, this parameter will not have any affect.\n" + - "Both hive.optimize.skewjoin.compiletime and hive.optimize.skewjoin should be set to true.\n" + - "Ideally, hive.optimize.skewjoin should be renamed as hive.optimize.skewjoin.runtime, but not doing\n" + - "so for backward compatibility.\n" + - "\n" + - "If the skew information is correctly stored in the metadata, hive.optimize.skewjoin.compiletime\n" + - "would change the query plan to take care of it, and hive.optimize.skewjoin will be a no-op."), - - HIVE_SHARED_WORK_OPTIMIZATION("hive.optimize.shared.work", true, - "Whether to enable shared work optimizer. The optimizer finds scan operator over the same table\n" + - "and follow-up operators in the query plan and merges them if they meet some preconditions."), - - // CTE - HIVE_CTE_MATERIALIZE_THRESHOLD("hive.optimize.cte.materialize.threshold", -1, - "If the number of references to a CTE clause exceeds this threshold, Hive will materialize it\n" + - "before executing the main query block. -1 will disable this feature."), - - // Indexes - HIVEOPTINDEXFILTER_COMPACT_MINSIZE("hive.optimize.index.filter.compact.minsize", (long) 5 * 1024 * 1024 * 1024, - "Minimum size (in bytes) of the inputs on which a compact index is automatically used."), // 5G - HIVEOPTINDEXFILTER_COMPACT_MAXSIZE("hive.optimize.index.filter.compact.maxsize", (long) -1, - "Maximum size (in bytes) of the inputs on which a compact index is automatically used. A negative number is equivalent to infinity."), // infinity - HIVE_INDEX_COMPACT_QUERY_MAX_ENTRIES("hive.index.compact.query.max.entries", (long) 10000000, - "The maximum number of index entries to read during a query that uses the compact index. Negative value is equivalent to infinity."), // 10M - HIVE_INDEX_COMPACT_QUERY_MAX_SIZE("hive.index.compact.query.max.size", (long) 10 * 1024 * 1024 * 1024, - "The maximum number of bytes that a query using the compact index can read. Negative value is equivalent to infinity."), // 10G - HIVE_INDEX_COMPACT_BINARY_SEARCH("hive.index.compact.binary.search", true, - "Whether or not to use a binary search to find the entries in an index table that match the filter, where possible"), - - // Statistics - HIVESTATSAUTOGATHER("hive.stats.autogather", true, - "A flag to gather statistics (only basic) automatically during the INSERT OVERWRITE command."), - HIVESTATSCOLAUTOGATHER("hive.stats.column.autogather", false, - "A flag to gather column statistics automatically."), - HIVESTATSDBCLASS("hive.stats.dbclass", "fs", new PatternSet("custom", "fs"), - "The storage that stores temporary Hive statistics. In filesystem based statistics collection ('fs'), \n" + - "each task writes statistics it has collected in a file on the filesystem, which will be aggregated \n" + - "after the job has finished. Supported values are fs (filesystem) and custom as defined in StatsSetupConst.java."), // StatsSetupConst.StatDB - HIVE_STATS_DEFAULT_PUBLISHER("hive.stats.default.publisher", "", - "The Java class (implementing the StatsPublisher interface) that is used by default if hive.stats.dbclass is custom type."), - HIVE_STATS_DEFAULT_AGGREGATOR("hive.stats.default.aggregator", "", - "The Java class (implementing the StatsAggregator interface) that is used by default if hive.stats.dbclass is custom type."), - HIVE_STATS_ATOMIC("hive.stats.atomic", false, - "whether to update metastore stats only if all stats are available"), - CLIENT_STATS_COUNTERS("hive.client.stats.counters", "", - "Subset of counters that should be of interest for hive.client.stats.publishers (when one wants to limit their publishing). \n" + - "Non-display names should be used"), - //Subset of counters that should be of interest for hive.client.stats.publishers (when one wants to limit their publishing). Non-display names should be used". - HIVE_STATS_RELIABLE("hive.stats.reliable", false, - "Whether queries will fail because stats cannot be collected completely accurately. \n" + - "If this is set to true, reading/writing from/into a partition may fail because the stats\n" + - "could not be computed accurately."), - HIVE_STATS_COLLECT_PART_LEVEL_STATS("hive.analyze.stmt.collect.partlevel.stats", true, - "analyze table T compute statistics for columns. Queries like these should compute partition" - + "level stats for partitioned table even when no part spec is specified."), - HIVE_STATS_GATHER_NUM_THREADS("hive.stats.gather.num.threads", 10, - "Number of threads used by partialscan/noscan analyze command for partitioned tables.\n" + - "This is applicable only for file formats that implement StatsProvidingRecordReader (like ORC)."), - // Collect table access keys information for operators that can benefit from bucketing - HIVE_STATS_COLLECT_TABLEKEYS("hive.stats.collect.tablekeys", false, - "Whether join and group by keys on tables are derived and maintained in the QueryPlan.\n" + - "This is useful to identify how tables are accessed and to determine if they should be bucketed."), - // Collect column access information - HIVE_STATS_COLLECT_SCANCOLS("hive.stats.collect.scancols", false, - "Whether column accesses are tracked in the QueryPlan.\n" + - "This is useful to identify how tables are accessed and to determine if there are wasted columns that can be trimmed."), - // standard error allowed for ndv estimates. A lower value indicates higher accuracy and a - // higher compute cost. - HIVE_STATS_NDV_ERROR("hive.stats.ndv.error", (float)20.0, - "Standard error expressed in percentage. Provides a tradeoff between accuracy and compute cost. \n" + - "A lower value for error indicates higher accuracy and a higher compute cost."), - HIVE_METASTORE_STATS_NDV_TUNER("hive.metastore.stats.ndv.tuner", (float)0.0, - "Provides a tunable parameter between the lower bound and the higher bound of ndv for aggregate ndv across all the partitions. \n" + - "The lower bound is equal to the maximum of ndv of all the partitions. The higher bound is equal to the sum of ndv of all the partitions.\n" + - "Its value should be between 0.0 (i.e., choose lower bound) and 1.0 (i.e., choose higher bound)"), - HIVE_METASTORE_STATS_NDV_DENSITY_FUNCTION("hive.metastore.stats.ndv.densityfunction", false, - "Whether to use density function to estimate the NDV for the whole table based on the NDV of partitions"), - HIVE_STATS_KEY_PREFIX("hive.stats.key.prefix", "", "", true), // internal usage only - // if length of variable length data type cannot be determined this length will be used. - HIVE_STATS_MAX_VARIABLE_LENGTH("hive.stats.max.variable.length", 100, - "To estimate the size of data flowing through operators in Hive/Tez(for reducer estimation etc.),\n" + - "average row size is multiplied with the total number of rows coming out of each operator.\n" + - "Average row size is computed from average column size of all columns in the row. In the absence\n" + - "of column statistics, for variable length columns (like string, bytes etc.), this value will be\n" + - "used. For fixed length columns their corresponding Java equivalent sizes are used\n" + - "(float - 4 bytes, double - 8 bytes etc.)."), - // if number of elements in list cannot be determined, this value will be used - HIVE_STATS_LIST_NUM_ENTRIES("hive.stats.list.num.entries", 10, - "To estimate the size of data flowing through operators in Hive/Tez(for reducer estimation etc.),\n" + - "average row size is multiplied with the total number of rows coming out of each operator.\n" + - "Average row size is computed from average column size of all columns in the row. In the absence\n" + - "of column statistics and for variable length complex columns like list, the average number of\n" + - "entries/values can be specified using this config."), - // if number of elements in map cannot be determined, this value will be used - HIVE_STATS_MAP_NUM_ENTRIES("hive.stats.map.num.entries", 10, - "To estimate the size of data flowing through operators in Hive/Tez(for reducer estimation etc.),\n" + - "average row size is multiplied with the total number of rows coming out of each operator.\n" + - "Average row size is computed from average column size of all columns in the row. In the absence\n" + - "of column statistics and for variable length complex columns like map, the average number of\n" + - "entries/values can be specified using this config."), - // statistics annotation fetches stats for each partition, which can be expensive. turning - // this off will result in basic sizes being fetched from namenode instead - HIVE_STATS_FETCH_PARTITION_STATS("hive.stats.fetch.partition.stats", true, - "Annotation of operator tree with statistics information requires partition level basic\n" + - "statistics like number of rows, data size and file size. Partition statistics are fetched from\n" + - "metastore. Fetching partition statistics for each needed partition can be expensive when the\n" + - "number of partitions is high. This flag can be used to disable fetching of partition statistics\n" + - "from metastore. When this flag is disabled, Hive will make calls to filesystem to get file sizes\n" + - "and will estimate the number of rows from row schema."), - // statistics annotation fetches column statistics for all required columns which can - // be very expensive sometimes - HIVE_STATS_FETCH_COLUMN_STATS("hive.stats.fetch.column.stats", false, - "Annotation of operator tree with statistics information requires column statistics.\n" + - "Column statistics are fetched from metastore. Fetching column statistics for each needed column\n" + - "can be expensive when the number of columns is high. This flag can be used to disable fetching\n" + - "of column statistics from metastore."), - // in the absence of column statistics, the estimated number of rows/data size that will - // be emitted from join operator will depend on this factor - HIVE_STATS_JOIN_FACTOR("hive.stats.join.factor", (float) 1.1, - "Hive/Tez optimizer estimates the data size flowing through each of the operators. JOIN operator\n" + - "uses column statistics to estimate the number of rows flowing out of it and hence the data size.\n" + - "In the absence of column statistics, this factor determines the amount of rows that flows out\n" + - "of JOIN operator."), - HIVE_STATS_CORRELATED_MULTI_KEY_JOINS("hive.stats.correlated.multi.key.joins", false, - "When estimating output rows for a join involving multiple columns, the default behavior assumes" + - "the columns are independent. Setting this flag to true will cause the estimator to assume" + - "the columns are correlated."), - // in the absence of uncompressed/raw data size, total file size will be used for statistics - // annotation. But the file may be compressed, encoded and serialized which may be lesser in size - // than the actual uncompressed/raw data size. This factor will be multiplied to file size to estimate - // the raw data size. - HIVE_STATS_DESERIALIZATION_FACTOR("hive.stats.deserialization.factor", (float) 1.0, - "Hive/Tez optimizer estimates the data size flowing through each of the operators. In the absence\n" + - "of basic statistics like number of rows and data size, file size is used to estimate the number\n" + - "of rows and data size. Since files in tables/partitions are serialized (and optionally\n" + - "compressed) the estimates of number of rows and data size cannot be reliably determined.\n" + - "This factor is multiplied with the file size to account for serialization and compression."), - HIVE_STATS_IN_CLAUSE_FACTOR("hive.stats.filter.in.factor", (float) 1.0, - "Currently column distribution is assumed to be uniform. This can lead to overestimation/underestimation\n" + - "in the number of rows filtered by a certain operator, which in turn might lead to overprovision or\n" + - "underprovision of resources. This factor is applied to the cardinality estimation of IN clauses in\n" + - "filter operators."), - - // Concurrency - HIVE_SUPPORT_CONCURRENCY("hive.support.concurrency", false, - "Whether Hive supports concurrency control or not. \n" + - "A ZooKeeper instance must be up and running when using zookeeper Hive lock manager "), - HIVE_LOCK_MANAGER("hive.lock.manager", "org.apache.hadoop.hive.ql.lockmgr.zookeeper.ZooKeeperHiveLockManager", ""), - HIVE_LOCK_NUMRETRIES("hive.lock.numretries", 100, - "The number of times you want to try to get all the locks"), - HIVE_UNLOCK_NUMRETRIES("hive.unlock.numretries", 10, - "The number of times you want to retry to do one unlock"), - HIVE_LOCK_SLEEP_BETWEEN_RETRIES("hive.lock.sleep.between.retries", "60s", - new TimeValidator(TimeUnit.SECONDS, 0L, false, Long.MAX_VALUE, false), - "The maximum sleep time between various retries"), - HIVE_LOCK_MAPRED_ONLY("hive.lock.mapred.only.operation", false, - "This param is to control whether or not only do lock on queries\n" + - "that need to execute at least one mapred job."), - HIVE_LOCK_QUERY_STRING_MAX_LENGTH("hive.lock.query.string.max.length", 1000000, - "The maximum length of the query string to store in the lock.\n" + - "The default value is 1000000, since the data limit of a znode is 1MB"), - - // Zookeeper related configs - HIVE_ZOOKEEPER_QUORUM("hive.zookeeper.quorum", "", - "List of ZooKeeper servers to talk to. This is needed for: \n" + - "1. Read/write locks - when hive.lock.manager is set to \n" + - "org.apache.hadoop.hive.ql.lockmgr.zookeeper.ZooKeeperHiveLockManager, \n" + - "2. When HiveServer2 supports service discovery via Zookeeper.\n" + - "3. For delegation token storage if zookeeper store is used, if\n" + - "hive.cluster.delegation.token.store.zookeeper.connectString is not set\n" + - "4. LLAP daemon registry service"), - - HIVE_ZOOKEEPER_CLIENT_PORT("hive.zookeeper.client.port", "2181", - "The port of ZooKeeper servers to talk to.\n" + - "If the list of Zookeeper servers specified in hive.zookeeper.quorum\n" + - "does not contain port numbers, this value is used."), - HIVE_ZOOKEEPER_SESSION_TIMEOUT("hive.zookeeper.session.timeout", "1200000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "ZooKeeper client's session timeout (in milliseconds). The client is disconnected, and as a result, all locks released, \n" + - "if a heartbeat is not sent in the timeout."), - HIVE_ZOOKEEPER_NAMESPACE("hive.zookeeper.namespace", "hive_zookeeper_namespace", - "The parent node under which all ZooKeeper nodes are created."), - HIVE_ZOOKEEPER_CLEAN_EXTRA_NODES("hive.zookeeper.clean.extra.nodes", false, - "Clean extra nodes at the end of the session."), - HIVE_ZOOKEEPER_CONNECTION_MAX_RETRIES("hive.zookeeper.connection.max.retries", 3, - "Max number of times to retry when connecting to the ZooKeeper server."), - HIVE_ZOOKEEPER_CONNECTION_BASESLEEPTIME("hive.zookeeper.connection.basesleeptime", "1000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Initial amount of time (in milliseconds) to wait between retries\n" + - "when connecting to the ZooKeeper server when using ExponentialBackoffRetry policy."), - - // Transactions - HIVE_TXN_MANAGER("hive.txn.manager", - "org.apache.hadoop.hive.ql.lockmgr.DummyTxnManager", - "Set to org.apache.hadoop.hive.ql.lockmgr.DbTxnManager as part of turning on Hive\n" + - "transactions, which also requires appropriate settings for hive.compactor.initiator.on,\n" + - "hive.compactor.worker.threads, hive.support.concurrency (true),\n" + - "and hive.exec.dynamic.partition.mode (nonstrict).\n" + - "The default DummyTxnManager replicates pre-Hive-0.13 behavior and provides\n" + - "no transactions."), - HIVE_TXN_STRICT_LOCKING_MODE("hive.txn.strict.locking.mode", true, "In strict mode non-ACID\n" + - "resources use standard R/W lock semantics, e.g. INSERT will acquire exclusive lock.\n" + - "In nonstrict mode, for non-ACID resources, INSERT will only acquire shared lock, which\n" + - "allows two concurrent writes to the same partition but still lets lock manager prevent\n" + - "DROP TABLE etc. when the table is being written to"), - HIVE_TXN_TIMEOUT("hive.txn.timeout", "300s", new TimeValidator(TimeUnit.SECONDS), - "time after which transactions are declared aborted if the client has not sent a heartbeat."), - HIVE_TXN_HEARTBEAT_THREADPOOL_SIZE("hive.txn.heartbeat.threadpool.size", 5, "The number of " + - "threads to use for heartbeating. For Hive CLI, 1 is enough. For HiveServer2, we need a few"), - TXN_MGR_DUMP_LOCK_STATE_ON_ACQUIRE_TIMEOUT("hive.txn.manager.dump.lock.state.on.acquire.timeout", false, - "Set this to true so that when attempt to acquire a lock on resource times out, the current state" + - " of the lock manager is dumped to log file. This is for debugging. See also " + - "hive.lock.numretries and hive.lock.sleep.between.retries."), - - HIVE_TXN_OPERATIONAL_PROPERTIES("hive.txn.operational.properties", 0, - "Sets the operational properties that control the appropriate behavior for various\n" - + "versions of the Hive ACID subsystem. Setting it to zero will turn on the legacy mode\n" - + "for ACID, while setting it to one will enable a split-update feature found in the newer\n" - + "version of Hive ACID subsystem. Mostly it is intended to be used as an internal property\n" - + "for future versions of ACID. (See HIVE-14035 for details.)"), - - HIVE_MAX_OPEN_TXNS("hive.max.open.txns", 100000, "Maximum number of open transactions. If \n" + - "current open transactions reach this limit, future open transaction requests will be \n" + - "rejected, until this number goes below the limit."), - HIVE_COUNT_OPEN_TXNS_INTERVAL("hive.count.open.txns.interval", "1s", - new TimeValidator(TimeUnit.SECONDS), "Time in seconds between checks to count open transactions."), - - HIVE_TXN_MAX_OPEN_BATCH("hive.txn.max.open.batch", 1000, - "Maximum number of transactions that can be fetched in one call to open_txns().\n" + - "This controls how many transactions streaming agents such as Flume or Storm open\n" + - "simultaneously. The streaming agent then writes that number of entries into a single\n" + - "file (per Flume agent or Storm bolt). Thus increasing this value decreases the number\n" + - "of delta files created by streaming agents. But it also increases the number of open\n" + - "transactions that Hive has to track at any given time, which may negatively affect\n" + - "read performance."), - - HIVE_TXN_RETRYABLE_SQLEX_REGEX("hive.txn.retryable.sqlex.regex", "", "Comma separated list\n" + - "of regular expression patterns for SQL state, error code, and error message of\n" + - "retryable SQLExceptions, that's suitable for the metastore DB.\n" + - "For example: Can't serialize.*,40001$,^Deadlock,.*ORA-08176.*\n" + - "The string that the regex will be matched against is of the following form, where ex is a SQLException:\n" + - "ex.getMessage() + \" (SQLState=\" + ex.getSQLState() + \", ErrorCode=\" + ex.getErrorCode() + \")\""), - - HIVE_COMPACTOR_INITIATOR_ON("hive.compactor.initiator.on", false, - "Whether to run the initiator and cleaner threads on this metastore instance or not.\n" + - "Set this to true on one instance of the Thrift metastore service as part of turning\n" + - "on Hive transactions. For a complete list of parameters required for turning on\n" + - "transactions, see hive.txn.manager."), - - HIVE_COMPACTOR_WORKER_THREADS("hive.compactor.worker.threads", 0, - "How many compactor worker threads to run on this metastore instance. Set this to a\n" + - "positive number on one or more instances of the Thrift metastore service as part of\n" + - "turning on Hive transactions. For a complete list of parameters required for turning\n" + - "on transactions, see hive.txn.manager.\n" + - "Worker threads spawn MapReduce jobs to do compactions. They do not do the compactions\n" + - "themselves. Increasing the number of worker threads will decrease the time it takes\n" + - "tables or partitions to be compacted once they are determined to need compaction.\n" + - "It will also increase the background load on the Hadoop cluster as more MapReduce jobs\n" + - "will be running in the background."), - - HIVE_COMPACTOR_WORKER_TIMEOUT("hive.compactor.worker.timeout", "86400s", - new TimeValidator(TimeUnit.SECONDS), - "Time in seconds after which a compaction job will be declared failed and the\n" + - "compaction re-queued."), - - HIVE_COMPACTOR_CHECK_INTERVAL("hive.compactor.check.interval", "300s", - new TimeValidator(TimeUnit.SECONDS), - "Time in seconds between checks to see if any tables or partitions need to be\n" + - "compacted. This should be kept high because each check for compaction requires\n" + - "many calls against the NameNode.\n" + - "Decreasing this value will reduce the time it takes for compaction to be started\n" + - "for a table or partition that requires compaction. However, checking if compaction\n" + - "is needed requires several calls to the NameNode for each table or partition that\n" + - "has had a transaction done on it since the last major compaction. So decreasing this\n" + - "value will increase the load on the NameNode."), - - HIVE_COMPACTOR_DELTA_NUM_THRESHOLD("hive.compactor.delta.num.threshold", 10, - "Number of delta directories in a table or partition that will trigger a minor\n" + - "compaction."), - - HIVE_COMPACTOR_DELTA_PCT_THRESHOLD("hive.compactor.delta.pct.threshold", 0.1f, - "Percentage (fractional) size of the delta files relative to the base that will trigger\n" + - "a major compaction. (1.0 = 100%, so the default 0.1 = 10%.)"), - COMPACTOR_MAX_NUM_DELTA("hive.compactor.max.num.delta", 500, "Maximum number of delta files that " + - "the compactor will attempt to handle in a single job."), - - HIVE_COMPACTOR_ABORTEDTXN_THRESHOLD("hive.compactor.abortedtxn.threshold", 1000, - "Number of aborted transactions involving a given table or partition that will trigger\n" + - "a major compaction."), - - COMPACTOR_INITIATOR_FAILED_THRESHOLD("hive.compactor.initiator.failed.compacts.threshold", 2, - new RangeValidator(1, 20), "Number of consecutive compaction failures (per table/partition) " + - "after which automatic compactions will not be scheduled any more. Note that this must be less " + - "than hive.compactor.history.retention.failed."), - - HIVE_COMPACTOR_CLEANER_RUN_INTERVAL("hive.compactor.cleaner.run.interval", "5000ms", - new TimeValidator(TimeUnit.MILLISECONDS), "Time between runs of the cleaner thread"), - COMPACTOR_JOB_QUEUE("hive.compactor.job.queue", "", "Used to specify name of Hadoop queue to which\n" + - "Compaction jobs will be submitted. Set to empty string to let Hadoop choose the queue."), - - COMPACTOR_HISTORY_RETENTION_SUCCEEDED("hive.compactor.history.retention.succeeded", 3, - new RangeValidator(0, 100), "Determines how many successful compaction records will be " + - "retained in compaction history for a given table/partition."), - - COMPACTOR_HISTORY_RETENTION_FAILED("hive.compactor.history.retention.failed", 3, - new RangeValidator(0, 100), "Determines how many failed compaction records will be " + - "retained in compaction history for a given table/partition."), - - COMPACTOR_HISTORY_RETENTION_ATTEMPTED("hive.compactor.history.retention.attempted", 2, - new RangeValidator(0, 100), "Determines how many attempted compaction records will be " + - "retained in compaction history for a given table/partition."), - - COMPACTOR_HISTORY_REAPER_INTERVAL("hive.compactor.history.reaper.interval", "2m", - new TimeValidator(TimeUnit.MILLISECONDS), "Determines how often compaction history reaper runs"), - - HIVE_TIMEDOUT_TXN_REAPER_START("hive.timedout.txn.reaper.start", "100s", - new TimeValidator(TimeUnit.MILLISECONDS), "Time delay of 1st reaper run after metastore start"), - HIVE_TIMEDOUT_TXN_REAPER_INTERVAL("hive.timedout.txn.reaper.interval", "180s", - new TimeValidator(TimeUnit.MILLISECONDS), "Time interval describing how often the reaper runs"), - WRITE_SET_REAPER_INTERVAL("hive.writeset.reaper.interval", "60s", - new TimeValidator(TimeUnit.MILLISECONDS), "Frequency of WriteSet reaper runs"), - - MERGE_CARDINALITY_VIOLATION_CHECK("hive.merge.cardinality.check", true, - "Set to true to ensure that each SQL Merge statement ensures that for each row in the target\n" + - "table there is at most 1 matching row in the source table per SQL Specification."), - - // For Druid storage handler - HIVE_DRUID_INDEXING_GRANULARITY("hive.druid.indexer.segments.granularity", "DAY", - new PatternSet("YEAR", "MONTH", "WEEK", "DAY", "HOUR", "MINUTE", "SECOND"), - "Granularity for the segments created by the Druid storage handler" - ), - HIVE_DRUID_MAX_PARTITION_SIZE("hive.druid.indexer.partition.size.max", 5000000, - "Maximum number of records per segment partition" - ), - HIVE_DRUID_MAX_ROW_IN_MEMORY("hive.druid.indexer.memory.rownum.max", 75000, - "Maximum number of records in memory while storing data in Druid" - ), - HIVE_DRUID_BROKER_DEFAULT_ADDRESS("hive.druid.broker.address.default", "localhost:8082", - "Address of the Druid broker. If we are querying Druid from Hive, this address needs to be\n" - + - "declared" - ), - HIVE_DRUID_COORDINATOR_DEFAULT_ADDRESS("hive.druid.coordinator.address.default", "localhost:8081", - "Address of the Druid coordinator. It is used to check the load status of newly created segments" - ), - HIVE_DRUID_SELECT_DISTRIBUTE("hive.druid.select.distribute", true, - "If it is set to true, we distribute the execution of Druid Select queries. Concretely, we retrieve\n" + - "the result for Select queries directly from the Druid nodes containing the segments data.\n" + - "In particular, first we contact the Druid broker node to obtain the nodes containing the segments\n" + - "for the given query, and then we contact those nodes to retrieve the results for the query.\n" + - "If it is set to false, we do not execute the Select queries in a distributed fashion. Instead, results\n" + - "for those queries are returned by the Druid broker node."), - HIVE_DRUID_SELECT_THRESHOLD("hive.druid.select.threshold", 10000, - "Takes only effect when hive.druid.select.distribute is set to false. \n" + - "When we can split a Select query, this is the maximum number of rows that we try to retrieve\n" + - "per query. In order to do that, we obtain the estimated size for the complete result. If the\n" + - "number of records of the query results is larger than this threshold, we split the query in\n" + - "total number of rows/threshold parts across the time dimension. Note that we assume the\n" + - "records to be split uniformly across the time dimension."), - HIVE_DRUID_NUM_HTTP_CONNECTION("hive.druid.http.numConnection", 20, "Number of connections used by\n" + - "the HTTP client."), - HIVE_DRUID_HTTP_READ_TIMEOUT("hive.druid.http.read.timeout", "PT1M", "Read timeout period for the HTTP\n" + - "client in ISO8601 format (for example P2W, P3M, PT1H30M, PT0.750S), default is period of 1 minute."), - HIVE_DRUID_SLEEP_TIME("hive.druid.sleep.time", "PT10S", - "Sleep time between retries in ISO8601 format (for example P2W, P3M, PT1H30M, PT0.750S), default is period of 10 seconds." - ), - HIVE_DRUID_BASE_PERSIST_DIRECTORY("hive.druid.basePersistDirectory", "", - "Local temporary directory used to persist intermediate indexing state, will default to JVM system property java.io.tmpdir." - ), - DRUID_SEGMENT_DIRECTORY("hive.druid.storage.storageDirectory", "/druid/segments" - , "druid deep storage location."), - DRUID_METADATA_BASE("hive.druid.metadata.base", "druid", "Default prefix for metadata tables"), - DRUID_METADATA_DB_TYPE("hive.druid.metadata.db.type", "mysql", - new PatternSet("mysql", "postgresql"), "Type of the metadata database." - ), - DRUID_METADATA_DB_USERNAME("hive.druid.metadata.username", "", - "Username to connect to Type of the metadata DB." - ), - DRUID_METADATA_DB_PASSWORD("hive.druid.metadata.password", "", - "Password to connect to Type of the metadata DB." - ), - DRUID_METADATA_DB_URI("hive.druid.metadata.uri", "", - "URI to connect to the database (for example jdbc:mysql://hostname:port/DBName)." - ), - DRUID_WORKING_DIR("hive.druid.working.directory", "/tmp/workingDirectory", - "Default hdfs working directory used to store some intermediate metadata" - ), - HIVE_DRUID_MAX_TRIES("hive.druid.maxTries", 5, "Maximum number of retries before giving up"), - HIVE_DRUID_PASSIVE_WAIT_TIME("hive.druid.passiveWaitTimeMs", 30000, - "Wait time in ms default to 30 seconds." - ), - HIVE_DRUID_BITMAP_FACTORY_TYPE("hive.druid.bitmap.type", "roaring", new PatternSet("roaring", "concise"), "Coding algorithm use to encode the bitmaps"), - // For HBase storage handler - HIVE_HBASE_WAL_ENABLED("hive.hbase.wal.enabled", true, - "Whether writes to HBase should be forced to the write-ahead log. \n" + - "Disabling this improves HBase write performance at the risk of lost writes in case of a crash."), - HIVE_HBASE_GENERATE_HFILES("hive.hbase.generatehfiles", false, - "True when HBaseStorageHandler should generate hfiles instead of operate against the online table."), - HIVE_HBASE_SNAPSHOT_NAME("hive.hbase.snapshot.name", null, "The HBase table snapshot name to use."), - HIVE_HBASE_SNAPSHOT_RESTORE_DIR("hive.hbase.snapshot.restoredir", "/tmp", "The directory in which to " + - "restore the HBase table snapshot."), - - // For har files - HIVEARCHIVEENABLED("hive.archive.enabled", false, "Whether archiving operations are permitted"), - - HIVEOPTGBYUSINGINDEX("hive.optimize.index.groupby", false, - "Whether to enable optimization of group-by queries using Aggregate indexes."), - - HIVEFETCHTASKCONVERSION("hive.fetch.task.conversion", "more", new StringSet("none", "minimal", "more"), - "Some select queries can be converted to single FETCH task minimizing latency.\n" + - "Currently the query should be single sourced not having any subquery and should not have\n" + - "any aggregations or distincts (which incurs RS), lateral views and joins.\n" + - "0. none : disable hive.fetch.task.conversion\n" + - "1. minimal : SELECT STAR, FILTER on partition columns, LIMIT only\n" + - "2. more : SELECT, FILTER, LIMIT only (support TABLESAMPLE and virtual columns)" - ), - HIVEFETCHTASKCONVERSIONTHRESHOLD("hive.fetch.task.conversion.threshold", 1073741824L, - "Input threshold for applying hive.fetch.task.conversion. If target table is native, input length\n" + - "is calculated by summation of file lengths. If it's not native, storage handler for the table\n" + - "can optionally implement org.apache.hadoop.hive.ql.metadata.InputEstimator interface."), - - HIVEFETCHTASKAGGR("hive.fetch.task.aggr", false, - "Aggregation queries with no group-by clause (for example, select count(*) from src) execute\n" + - "final aggregations in single reduce task. If this is set true, Hive delegates final aggregation\n" + - "stage to fetch task, possibly decreasing the query time."), - - HIVEOPTIMIZEMETADATAQUERIES("hive.compute.query.using.stats", true, - "When set to true Hive will answer a few queries like count(1) purely using stats\n" + - "stored in metastore. For basic stats collection turn on the config hive.stats.autogather to true.\n" + - "For more advanced stats collection need to run analyze table queries."), - - // Serde for FetchTask - HIVEFETCHOUTPUTSERDE("hive.fetch.output.serde", "org.apache.hadoop.hive.serde2.DelimitedJSONSerDe", - "The SerDe used by FetchTask to serialize the fetch output."), - - HIVEEXPREVALUATIONCACHE("hive.cache.expr.evaluation", true, - "If true, the evaluation result of a deterministic expression referenced twice or more\n" + - "will be cached.\n" + - "For example, in a filter condition like '.. where key + 10 = 100 or key + 10 = 0'\n" + - "the expression 'key + 10' will be evaluated/cached once and reused for the following\n" + - "expression ('key + 10 = 0'). Currently, this is applied only to expressions in select\n" + - "or filter operators."), - - // Hive Variables - HIVEVARIABLESUBSTITUTE("hive.variable.substitute", true, - "This enables substitution using syntax like ${var} ${system:var} and ${env:var}."), - HIVEVARIABLESUBSTITUTEDEPTH("hive.variable.substitute.depth", 40, - "The maximum replacements the substitution engine will do."), - - HIVECONFVALIDATION("hive.conf.validation", true, - "Enables type checking for registered Hive configurations"), - - SEMANTIC_ANALYZER_HOOK("hive.semantic.analyzer.hook", "", ""), - HIVE_TEST_AUTHORIZATION_SQLSTD_HS2_MODE( - "hive.test.authz.sstd.hs2.mode", false, "test hs2 mode from .q tests", true), - HIVE_AUTHORIZATION_ENABLED("hive.security.authorization.enabled", false, - "enable or disable the Hive client authorization"), - HIVE_AUTHORIZATION_MANAGER("hive.security.authorization.manager", - "org.apache.hadoop.hive.ql.security.authorization.plugin.sqlstd.SQLStdHiveAuthorizerFactory", - "The Hive client authorization manager class name. The user defined authorization class should implement \n" + - "interface org.apache.hadoop.hive.ql.security.authorization.HiveAuthorizationProvider."), - HIVE_AUTHENTICATOR_MANAGER("hive.security.authenticator.manager", - "org.apache.hadoop.hive.ql.security.HadoopDefaultAuthenticator", - "hive client authenticator manager class name. The user defined authenticator should implement \n" + - "interface org.apache.hadoop.hive.ql.security.HiveAuthenticationProvider."), - HIVE_METASTORE_AUTHORIZATION_MANAGER("hive.security.metastore.authorization.manager", - "org.apache.hadoop.hive.ql.security.authorization.DefaultHiveMetastoreAuthorizationProvider", - "Names of authorization manager classes (comma separated) to be used in the metastore\n" + - "for authorization. The user defined authorization class should implement interface\n" + - "org.apache.hadoop.hive.ql.security.authorization.HiveMetastoreAuthorizationProvider.\n" + - "All authorization manager classes have to successfully authorize the metastore API\n" + - "call for the command execution to be allowed."), - HIVE_METASTORE_AUTHORIZATION_AUTH_READS("hive.security.metastore.authorization.auth.reads", true, - "If this is true, metastore authorizer authorizes read actions on database, table"), - HIVE_METASTORE_AUTHENTICATOR_MANAGER("hive.security.metastore.authenticator.manager", - "org.apache.hadoop.hive.ql.security.HadoopDefaultMetastoreAuthenticator", - "authenticator manager class name to be used in the metastore for authentication. \n" + - "The user defined authenticator should implement interface org.apache.hadoop.hive.ql.security.HiveAuthenticationProvider."), - HIVE_AUTHORIZATION_TABLE_USER_GRANTS("hive.security.authorization.createtable.user.grants", "", - "the privileges automatically granted to some users whenever a table gets created.\n" + - "An example like \"userX,userY:select;userZ:create\" will grant select privilege to userX and userY,\n" + - "and grant create privilege to userZ whenever a new table created."), - HIVE_AUTHORIZATION_TABLE_GROUP_GRANTS("hive.security.authorization.createtable.group.grants", - "", - "the privileges automatically granted to some groups whenever a table gets created.\n" + - "An example like \"groupX,groupY:select;groupZ:create\" will grant select privilege to groupX and groupY,\n" + - "and grant create privilege to groupZ whenever a new table created."), - HIVE_AUTHORIZATION_TABLE_ROLE_GRANTS("hive.security.authorization.createtable.role.grants", "", - "the privileges automatically granted to some roles whenever a table gets created.\n" + - "An example like \"roleX,roleY:select;roleZ:create\" will grant select privilege to roleX and roleY,\n" + - "and grant create privilege to roleZ whenever a new table created."), - HIVE_AUTHORIZATION_TABLE_OWNER_GRANTS("hive.security.authorization.createtable.owner.grants", - "", - "The privileges automatically granted to the owner whenever a table gets created.\n" + - "An example like \"select,drop\" will grant select and drop privilege to the owner\n" + - "of the table. Note that the default gives the creator of a table no access to the\n" + - "table (but see HIVE-8067)."), - HIVE_AUTHORIZATION_TASK_FACTORY("hive.security.authorization.task.factory", - "org.apache.hadoop.hive.ql.parse.authorization.HiveAuthorizationTaskFactoryImpl", - "Authorization DDL task factory implementation"), - - // if this is not set default value is set during config initialization - // Default value can't be set in this constructor as it would refer names in other ConfVars - // whose constructor would not have been called - HIVE_AUTHORIZATION_SQL_STD_AUTH_CONFIG_WHITELIST( - "hive.security.authorization.sqlstd.confwhitelist", "", - "List of comma separated Java regexes. Configurations parameters that match these\n" + - "regexes can be modified by user when SQL standard authorization is enabled.\n" + - "To get the default value, use the 'set ' command.\n" + - "Note that the hive.conf.restricted.list checks are still enforced after the white list\n" + - "check"), - - HIVE_AUTHORIZATION_SQL_STD_AUTH_CONFIG_WHITELIST_APPEND( - "hive.security.authorization.sqlstd.confwhitelist.append", "", - "List of comma separated Java regexes, to be appended to list set in\n" + - "hive.security.authorization.sqlstd.confwhitelist. Using this list instead\n" + - "of updating the original list means that you can append to the defaults\n" + - "set by SQL standard authorization instead of replacing it entirely."), - - HIVE_CLI_PRINT_HEADER("hive.cli.print.header", false, "Whether to print the names of the columns in query output."), - - HIVE_CLI_TEZ_SESSION_ASYNC("hive.cli.tez.session.async", true, "Whether to start Tez\n" + - "session in background when running CLI with Tez, allowing CLI to be available earlier."), - - HIVE_ERROR_ON_EMPTY_PARTITION("hive.error.on.empty.partition", false, - "Whether to throw an exception if dynamic partition insert generates empty results."), - - HIVE_INDEX_COMPACT_FILE("hive.index.compact.file", "", "internal variable"), - HIVE_INDEX_BLOCKFILTER_FILE("hive.index.blockfilter.file", "", "internal variable"), - HIVE_INDEX_IGNORE_HDFS_LOC("hive.index.compact.file.ignore.hdfs", false, - "When true the HDFS location stored in the index file will be ignored at runtime.\n" + - "If the data got moved or the name of the cluster got changed, the index data should still be usable."), - - HIVE_EXIM_URI_SCHEME_WL("hive.exim.uri.scheme.whitelist", "hdfs,pfile,file,s3,s3a", - "A comma separated list of acceptable URI schemes for import and export."), - // temporary variable for testing. This is added just to turn off this feature in case of a bug in - // deployment. It has not been documented in hive-default.xml intentionally, this should be removed - // once the feature is stable - HIVE_EXIM_RESTRICT_IMPORTS_INTO_REPLICATED_TABLES("hive.exim.strict.repl.tables",true, - "Parameter that determines if 'regular' (non-replication) export dumps can be\n" + - "imported on to tables that are the target of replication. If this parameter is\n" + - "set, regular imports will check if the destination table(if it exists) has a " + - "'repl.last.id' set on it. If so, it will fail."), - HIVE_REPL_TASK_FACTORY("hive.repl.task.factory", - "org.apache.hive.hcatalog.api.repl.exim.EximReplicationTaskFactory", - "Parameter that can be used to override which ReplicationTaskFactory will be\n" + - "used to instantiate ReplicationTask events. Override for third party repl plugins"), - HIVE_MAPPER_CANNOT_SPAN_MULTIPLE_PARTITIONS("hive.mapper.cannot.span.multiple.partitions", false, ""), - HIVE_REWORK_MAPREDWORK("hive.rework.mapredwork", false, - "should rework the mapred work or not.\n" + - "This is first introduced by SymlinkTextInputFormat to replace symlink files with real paths at compile time."), - HIVE_CONCATENATE_CHECK_INDEX ("hive.exec.concatenate.check.index", true, - "If this is set to true, Hive will throw error when doing\n" + - "'alter table tbl_name [partSpec] concatenate' on a table/partition\n" + - "that has indexes on it. The reason the user want to set this to true\n" + - "is because it can help user to avoid handling all index drop, recreation,\n" + - "rebuild work. This is very helpful for tables with thousands of partitions."), - HIVE_IO_EXCEPTION_HANDLERS("hive.io.exception.handlers", "", - "A list of io exception handler class names. This is used\n" + - "to construct a list exception handlers to handle exceptions thrown\n" + - "by record readers"), - - // logging configuration - HIVE_LOG4J_FILE("hive.log4j.file", "", - "Hive log4j configuration file.\n" + - "If the property is not set, then logging will be initialized using hive-log4j2.properties found on the classpath.\n" + - "If the property is set, the value must be a valid URI (java.net.URI, e.g. \"file:///tmp/my-logging.xml\"), \n" + - "which you can then extract a URL from and pass to PropertyConfigurator.configure(URL)."), - HIVE_EXEC_LOG4J_FILE("hive.exec.log4j.file", "", - "Hive log4j configuration file for execution mode(sub command).\n" + - "If the property is not set, then logging will be initialized using hive-exec-log4j2.properties found on the classpath.\n" + - "If the property is set, the value must be a valid URI (java.net.URI, e.g. \"file:///tmp/my-logging.xml\"), \n" + - "which you can then extract a URL from and pass to PropertyConfigurator.configure(URL)."), - HIVE_ASYNC_LOG_ENABLED("hive.async.log.enabled", true, - "Whether to enable Log4j2's asynchronous logging. Asynchronous logging can give\n" + - " significant performance improvement as logging will be handled in separate thread\n" + - " that uses LMAX disruptor queue for buffering log messages.\n" + - " Refer https://logging.apache.org/log4j/2.x/manual/async.html for benefits and\n" + - " drawbacks."), - - HIVE_LOG_EXPLAIN_OUTPUT("hive.log.explain.output", false, - "Whether to log explain output for every query.\n" + - "When enabled, will log EXPLAIN EXTENDED output for the query at INFO log4j log level."), - HIVE_EXPLAIN_USER("hive.explain.user", true, - "Whether to show explain result at user level.\n" + - "When enabled, will log EXPLAIN output for the query at user level. Tez only."), - HIVE_SPARK_EXPLAIN_USER("hive.spark.explain.user", false, - "Whether to show explain result at user level.\n" + - "When enabled, will log EXPLAIN output for the query at user level. Spark only."), - - // prefix used to auto generated column aliases (this should be started with '_') - HIVE_AUTOGEN_COLUMNALIAS_PREFIX_LABEL("hive.autogen.columnalias.prefix.label", "_c", - "String used as a prefix when auto generating column alias.\n" + - "By default the prefix label will be appended with a column position number to form the column alias. \n" + - "Auto generation would happen if an aggregate function is used in a select clause without an explicit alias."), - HIVE_AUTOGEN_COLUMNALIAS_PREFIX_INCLUDEFUNCNAME( - "hive.autogen.columnalias.prefix.includefuncname", false, - "Whether to include function name in the column alias auto generated by Hive."), - HIVE_METRICS_CLASS("hive.service.metrics.class", - "org.apache.hadoop.hive.common.metrics.metrics2.CodahaleMetrics", - new StringSet( - "org.apache.hadoop.hive.common.metrics.metrics2.CodahaleMetrics", - "org.apache.hadoop.hive.common.metrics.LegacyMetrics"), - "Hive metrics subsystem implementation class."), - HIVE_CODAHALE_METRICS_REPORTER_CLASSES("hive.service.metrics.codahale.reporter.classes", - "org.apache.hadoop.hive.common.metrics.metrics2.JsonFileMetricsReporter, " + - "org.apache.hadoop.hive.common.metrics.metrics2.JmxMetricsReporter", - "Comma separated list of reporter implementation classes for metric class " - + "org.apache.hadoop.hive.common.metrics.metrics2.CodahaleMetrics. Overrides " - + "HIVE_METRICS_REPORTER conf if present"), - @Deprecated - HIVE_METRICS_REPORTER("hive.service.metrics.reporter", "", - "Reporter implementations for metric class " - + "org.apache.hadoop.hive.common.metrics.metrics2.CodahaleMetrics;" + - "Deprecated, use HIVE_CODAHALE_METRICS_REPORTER_CLASSES instead. This configuraiton will be" - + " overridden by HIVE_CODAHALE_METRICS_REPORTER_CLASSES if present. " + - "Comma separated list of JMX, CONSOLE, JSON_FILE, HADOOP2"), - HIVE_METRICS_JSON_FILE_LOCATION("hive.service.metrics.file.location", "/tmp/report.json", - "For metric class org.apache.hadoop.hive.common.metrics.metrics2.CodahaleMetrics JSON_FILE reporter, the location of local JSON metrics file. " + - "This file will get overwritten at every interval."), - HIVE_METRICS_JSON_FILE_INTERVAL("hive.service.metrics.file.frequency", "5000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "For metric class org.apache.hadoop.hive.common.metrics.metrics2.JsonFileMetricsReporter, " + - "the frequency of updating JSON metrics file."), - HIVE_METRICS_HADOOP2_INTERVAL("hive.service.metrics.hadoop2.frequency", "30s", - new TimeValidator(TimeUnit.SECONDS), - "For metric class org.apache.hadoop.hive.common.metrics.metrics2.Metrics2Reporter, " + - "the frequency of updating the HADOOP2 metrics system."), - HIVE_METRICS_HADOOP2_COMPONENT_NAME("hive.service.metrics.hadoop2.component", - "hive", - "Component name to provide to Hadoop2 Metrics system. Ideally 'hivemetastore' for the MetaStore " + - " and and 'hiveserver2' for HiveServer2." - ), - HIVE_PERF_LOGGER("hive.exec.perf.logger", "org.apache.hadoop.hive.ql.log.PerfLogger", - "The class responsible for logging client side performance metrics. \n" + - "Must be a subclass of org.apache.hadoop.hive.ql.log.PerfLogger"), - HIVE_START_CLEANUP_SCRATCHDIR("hive.start.cleanup.scratchdir", false, - "To cleanup the Hive scratchdir when starting the Hive Server"), - HIVE_SCRATCH_DIR_LOCK("hive.scratchdir.lock", false, - "To hold a lock file in scratchdir to prevent to be removed by cleardanglingscratchdir"), - HIVE_INSERT_INTO_MULTILEVEL_DIRS("hive.insert.into.multilevel.dirs", false, - "Where to insert into multilevel directories like\n" + - "\"insert directory '/HIVEFT25686/chinna/' from table\""), - HIVE_INSERT_INTO_EXTERNAL_TABLES("hive.insert.into.external.tables", true, - "whether insert into external tables is allowed"), - HIVE_TEMPORARY_TABLE_STORAGE( - "hive.exec.temporary.table.storage", "default", new StringSet("memory", - "ssd", "default"), "Define the storage policy for temporary tables." + - "Choices between memory, ssd and default"), - HIVE_QUERY_LIFETIME_HOOKS("hive.query.lifetime.hooks", "", - "A comma separated list of hooks which implement QueryLifeTimeHook. These will be triggered" + - " before/after query compilation and before/after query execution, in the order specified." + - "Implementations of QueryLifeTimeHookWithParseHooks can also be specified in this list. If they are" + - "specified then they will be invoked in the same places as QueryLifeTimeHooks and will be invoked during pre " + - "and post query parsing"), - HIVE_DRIVER_RUN_HOOKS("hive.exec.driver.run.hooks", "", - "A comma separated list of hooks which implement HiveDriverRunHook. Will be run at the beginning " + - "and end of Driver.run, these will be run in the order specified."), - HIVE_DDL_OUTPUT_FORMAT("hive.ddl.output.format", null, - "The data format to use for DDL output. One of \"text\" (for human\n" + - "readable text) or \"json\" (for a json object)."), - HIVE_ENTITY_SEPARATOR("hive.entity.separator", "@", - "Separator used to construct names of tables and partitions. For example, dbname@tablename@partitionname"), - HIVE_CAPTURE_TRANSFORM_ENTITY("hive.entity.capture.transform", false, - "Compiler to capture transform URI referred in the query"), - HIVE_DISPLAY_PARTITION_COLUMNS_SEPARATELY("hive.display.partition.cols.separately", true, - "In older Hive version (0.10 and earlier) no distinction was made between\n" + - "partition columns or non-partition columns while displaying columns in describe\n" + - "table. From 0.12 onwards, they are displayed separately. This flag will let you\n" + - "get old behavior, if desired. See, test-case in patch for HIVE-6689."), - - HIVE_SSL_PROTOCOL_BLACKLIST("hive.ssl.protocol.blacklist", "SSLv2,SSLv3", - "SSL Versions to disable for all Hive Servers"), - - // HiveServer2 specific configs - HIVE_SERVER2_CLEAR_DANGLING_SCRATCH_DIR("hive.server2.clear.dangling.scratchdir", false, - "Clear dangling scratch dir periodically in HS2"), - HIVE_SERVER2_CLEAR_DANGLING_SCRATCH_DIR_INTERVAL("hive.server2.clear.dangling.scratchdir.interval", - "1800s", new TimeValidator(TimeUnit.SECONDS), - "Interval to clear dangling scratch dir periodically in HS2"), - HIVE_SERVER2_SLEEP_INTERVAL_BETWEEN_START_ATTEMPTS("hive.server2.sleep.interval.between.start.attempts", - "60s", new TimeValidator(TimeUnit.MILLISECONDS, 0l, true, Long.MAX_VALUE, true), - "Amount of time to sleep between HiveServer2 start attempts. Primarily meant for tests"), - HIVE_SERVER2_MAX_START_ATTEMPTS("hive.server2.max.start.attempts", 30L, new RangeValidator(0L, null), - "Number of times HiveServer2 will attempt to start before exiting. The sleep interval between retries" + - " is determined by " + ConfVars.HIVE_SERVER2_SLEEP_INTERVAL_BETWEEN_START_ATTEMPTS.varname + - "\n The default of 30 will keep trying for 30 minutes."), - HIVE_SERVER2_SUPPORT_DYNAMIC_SERVICE_DISCOVERY("hive.server2.support.dynamic.service.discovery", false, - "Whether HiveServer2 supports dynamic service discovery for its clients. " + - "To support this, each instance of HiveServer2 currently uses ZooKeeper to register itself, " + - "when it is brought up. JDBC/ODBC clients should use the ZooKeeper ensemble: " + - "hive.zookeeper.quorum in their connection string."), - HIVE_SERVER2_ZOOKEEPER_NAMESPACE("hive.server2.zookeeper.namespace", "hiveserver2", - "The parent node in ZooKeeper used by HiveServer2 when supporting dynamic service discovery."), - HIVE_SERVER2_ZOOKEEPER_PUBLISH_CONFIGS("hive.server2.zookeeper.publish.configs", true, - "Whether we should publish HiveServer2's configs to ZooKeeper."), - - // HiveServer2 global init file location - HIVE_SERVER2_GLOBAL_INIT_FILE_LOCATION("hive.server2.global.init.file.location", "${env:HIVE_CONF_DIR}", - "Either the location of a HS2 global init file or a directory containing a .hiverc file. If the \n" + - "property is set, the value must be a valid path to an init file or directory where the init file is located."), - HIVE_SERVER2_TRANSPORT_MODE("hive.server2.transport.mode", "binary", new StringSet("binary", "http"), - "Transport mode of HiveServer2."), - HIVE_SERVER2_THRIFT_BIND_HOST("hive.server2.thrift.bind.host", "", - "Bind host on which to run the HiveServer2 Thrift service."), - HIVE_SERVER2_PARALLEL_COMPILATION("hive.driver.parallel.compilation", false, "Whether to\n" + - "enable parallel compilation of the queries between sessions and within the same session on HiveServer2. The default is false."), - HIVE_SERVER2_COMPILE_LOCK_TIMEOUT("hive.server2.compile.lock.timeout", "0s", - new TimeValidator(TimeUnit.SECONDS), - "Number of seconds a request will wait to acquire the compile lock before giving up. " + - "Setting it to 0s disables the timeout."), - HIVE_SERVER2_PARALLEL_OPS_IN_SESSION("hive.server2.parallel.ops.in.session", true, - "Whether to allow several parallel operations (such as SQL statements) in one session."), - - // HiveServer2 WebUI - HIVE_SERVER2_WEBUI_BIND_HOST("hive.server2.webui.host", "0.0.0.0", "The host address the HiveServer2 WebUI will listen on"), - HIVE_SERVER2_WEBUI_PORT("hive.server2.webui.port", 10002, "The port the HiveServer2 WebUI will listen on. This can be" - + "set to 0 or a negative integer to disable the web UI"), - HIVE_SERVER2_WEBUI_MAX_THREADS("hive.server2.webui.max.threads", 50, "The max HiveServer2 WebUI threads"), - HIVE_SERVER2_WEBUI_USE_SSL("hive.server2.webui.use.ssl", false, - "Set this to true for using SSL encryption for HiveServer2 WebUI."), - HIVE_SERVER2_WEBUI_SSL_KEYSTORE_PATH("hive.server2.webui.keystore.path", "", - "SSL certificate keystore location for HiveServer2 WebUI."), - HIVE_SERVER2_WEBUI_SSL_KEYSTORE_PASSWORD("hive.server2.webui.keystore.password", "", - "SSL certificate keystore password for HiveServer2 WebUI."), - HIVE_SERVER2_WEBUI_USE_SPNEGO("hive.server2.webui.use.spnego", false, - "If true, the HiveServer2 WebUI will be secured with SPNEGO. Clients must authenticate with Kerberos."), - HIVE_SERVER2_WEBUI_SPNEGO_KEYTAB("hive.server2.webui.spnego.keytab", "", - "The path to the Kerberos Keytab file containing the HiveServer2 WebUI SPNEGO service principal."), - HIVE_SERVER2_WEBUI_SPNEGO_PRINCIPAL("hive.server2.webui.spnego.principal", - "HTTP/_HOST@EXAMPLE.COM", "The HiveServer2 WebUI SPNEGO service principal.\n" + - "The special string _HOST will be replaced automatically with \n" + - "the value of hive.server2.webui.host or the correct host name."), - HIVE_SERVER2_WEBUI_MAX_HISTORIC_QUERIES("hive.server2.webui.max.historic.queries", 25, - "The maximum number of past queries to show in HiverSever2 WebUI."), - - // Tez session settings - HIVE_SERVER2_TEZ_DEFAULT_QUEUES("hive.server2.tez.default.queues", "", - "A list of comma separated values corresponding to YARN queues of the same name.\n" + - "When HiveServer2 is launched in Tez mode, this configuration needs to be set\n" + - "for multiple Tez sessions to run in parallel on the cluster."), - HIVE_SERVER2_TEZ_SESSIONS_PER_DEFAULT_QUEUE("hive.server2.tez.sessions.per.default.queue", 1, - "A positive integer that determines the number of Tez sessions that should be\n" + - "launched on each of the queues specified by \"hive.server2.tez.default.queues\".\n" + - "Determines the parallelism on each queue."), - HIVE_SERVER2_TEZ_INITIALIZE_DEFAULT_SESSIONS("hive.server2.tez.initialize.default.sessions", - false, - "This flag is used in HiveServer2 to enable a user to use HiveServer2 without\n" + - "turning on Tez for HiveServer2. The user could potentially want to run queries\n" + - "over Tez without the pool of sessions."), - HIVE_SERVER2_TEZ_SESSION_LIFETIME("hive.server2.tez.session.lifetime", "162h", - new TimeValidator(TimeUnit.HOURS), - "The lifetime of the Tez sessions launched by HS2 when default sessions are enabled.\n" + - "Set to 0 to disable session expiration."), - HIVE_SERVER2_TEZ_SESSION_LIFETIME_JITTER("hive.server2.tez.session.lifetime.jitter", "3h", - new TimeValidator(TimeUnit.HOURS), - "The jitter for Tez session lifetime; prevents all the sessions from restarting at once."), - HIVE_SERVER2_TEZ_SESSION_MAX_INIT_THREADS("hive.server2.tez.sessions.init.threads", 16, - "If hive.server2.tez.initialize.default.sessions is enabled, the maximum number of\n" + - "threads to use to initialize the default sessions."), - HIVE_SERVER2_TEZ_SESSION_RESTRICTED_CONFIGS("hive.server2.tez.sessions.restricted.configs", "", - "The configuration settings that cannot be set when submitting jobs to HiveServer2. If\n" + - "any of these are set to values different from those in the server configuration, an\n" + - "exception will be thrown."), - HIVE_SERVER2_TEZ_SESSION_CUSTOM_QUEUE_ALLOWED("hive.server2.tez.sessions.custom.queue.allowed", - "true", new StringSet("true", "false", "ignore"), - "Whether Tez session pool should allow submitting queries to custom queues. The options\n" + - "are true, false (error out), ignore (accept the query but ignore the queue setting)."), - - // Operation log configuration - HIVE_SERVER2_LOGGING_OPERATION_ENABLED("hive.server2.logging.operation.enabled", true, - "When true, HS2 will save operation logs and make them available for clients"), - HIVE_SERVER2_LOGGING_OPERATION_LOG_LOCATION("hive.server2.logging.operation.log.location", - "${system:java.io.tmpdir}" + File.separator + "${system:user.name}" + File.separator + - "operation_logs", - "Top level directory where operation logs are stored if logging functionality is enabled"), - HIVE_SERVER2_LOGGING_OPERATION_LEVEL("hive.server2.logging.operation.level", "EXECUTION", - new StringSet("NONE", "EXECUTION", "PERFORMANCE", "VERBOSE"), - "HS2 operation logging mode available to clients to be set at session level.\n" + - "For this to work, hive.server2.logging.operation.enabled should be set to true.\n" + - " NONE: Ignore any logging\n" + - " EXECUTION: Log completion of tasks\n" + - " PERFORMANCE: Execution + Performance logs \n" + - " VERBOSE: All logs" ), - - // Enable metric collection for HiveServer2 - HIVE_SERVER2_METRICS_ENABLED("hive.server2.metrics.enabled", false, "Enable metrics on the HiveServer2."), - - // http (over thrift) transport settings - HIVE_SERVER2_THRIFT_HTTP_PORT("hive.server2.thrift.http.port", 10001, - "Port number of HiveServer2 Thrift interface when hive.server2.transport.mode is 'http'."), - HIVE_SERVER2_THRIFT_HTTP_PATH("hive.server2.thrift.http.path", "cliservice", - "Path component of URL endpoint when in HTTP mode."), - HIVE_SERVER2_THRIFT_MAX_MESSAGE_SIZE("hive.server2.thrift.max.message.size", 100*1024*1024, - "Maximum message size in bytes a HS2 server will accept."), - HIVE_SERVER2_THRIFT_HTTP_MAX_IDLE_TIME("hive.server2.thrift.http.max.idle.time", "1800s", - new TimeValidator(TimeUnit.MILLISECONDS), - "Maximum idle time for a connection on the server when in HTTP mode."), - HIVE_SERVER2_THRIFT_HTTP_WORKER_KEEPALIVE_TIME("hive.server2.thrift.http.worker.keepalive.time", "60s", - new TimeValidator(TimeUnit.SECONDS), - "Keepalive time for an idle http worker thread. When the number of workers exceeds min workers, " + - "excessive threads are killed after this time interval."), - HIVE_SERVER2_THRIFT_HTTP_REQUEST_HEADER_SIZE("hive.server2.thrift.http.request.header.size", 6*1024, - "Request header size in bytes, when using HTTP transport mode. Jetty defaults used."), - HIVE_SERVER2_THRIFT_HTTP_RESPONSE_HEADER_SIZE("hive.server2.thrift.http.response.header.size", 6*1024, - "Response header size in bytes, when using HTTP transport mode. Jetty defaults used."), - - // Cookie based authentication when using HTTP Transport - HIVE_SERVER2_THRIFT_HTTP_COOKIE_AUTH_ENABLED("hive.server2.thrift.http.cookie.auth.enabled", true, - "When true, HiveServer2 in HTTP transport mode, will use cookie based authentication mechanism."), - HIVE_SERVER2_THRIFT_HTTP_COOKIE_MAX_AGE("hive.server2.thrift.http.cookie.max.age", "86400s", - new TimeValidator(TimeUnit.SECONDS), - "Maximum age in seconds for server side cookie used by HS2 in HTTP mode."), - HIVE_SERVER2_THRIFT_HTTP_COOKIE_DOMAIN("hive.server2.thrift.http.cookie.domain", null, - "Domain for the HS2 generated cookies"), - HIVE_SERVER2_THRIFT_HTTP_COOKIE_PATH("hive.server2.thrift.http.cookie.path", null, - "Path for the HS2 generated cookies"), - @Deprecated - HIVE_SERVER2_THRIFT_HTTP_COOKIE_IS_SECURE("hive.server2.thrift.http.cookie.is.secure", true, - "Deprecated: Secure attribute of the HS2 generated cookie (this is automatically enabled for SSL enabled HiveServer2)."), - HIVE_SERVER2_THRIFT_HTTP_COOKIE_IS_HTTPONLY("hive.server2.thrift.http.cookie.is.httponly", true, - "HttpOnly attribute of the HS2 generated cookie."), - - // binary transport settings - HIVE_SERVER2_THRIFT_PORT("hive.server2.thrift.port", 10000, - "Port number of HiveServer2 Thrift interface when hive.server2.transport.mode is 'binary'."), - HIVE_SERVER2_THRIFT_SASL_QOP("hive.server2.thrift.sasl.qop", "auth", - new StringSet("auth", "auth-int", "auth-conf"), - "Sasl QOP value; set it to one of following values to enable higher levels of\n" + - "protection for HiveServer2 communication with clients.\n" + - "Setting hadoop.rpc.protection to a higher level than HiveServer2 does not\n" + - "make sense in most situations. HiveServer2 ignores hadoop.rpc.protection in favor\n" + - "of hive.server2.thrift.sasl.qop.\n" + - " \"auth\" - authentication only (default)\n" + - " \"auth-int\" - authentication plus integrity protection\n" + - " \"auth-conf\" - authentication plus integrity and confidentiality protection\n" + - "This is applicable only if HiveServer2 is configured to use Kerberos authentication."), - HIVE_SERVER2_THRIFT_MIN_WORKER_THREADS("hive.server2.thrift.min.worker.threads", 5, - "Minimum number of Thrift worker threads"), - HIVE_SERVER2_THRIFT_MAX_WORKER_THREADS("hive.server2.thrift.max.worker.threads", 500, - "Maximum number of Thrift worker threads"), - HIVE_SERVER2_THRIFT_LOGIN_BEBACKOFF_SLOT_LENGTH( - "hive.server2.thrift.exponential.backoff.slot.length", "100ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Binary exponential backoff slot time for Thrift clients during login to HiveServer2,\n" + - "for retries until hitting Thrift client timeout"), - HIVE_SERVER2_THRIFT_LOGIN_TIMEOUT("hive.server2.thrift.login.timeout", "20s", - new TimeValidator(TimeUnit.SECONDS), "Timeout for Thrift clients during login to HiveServer2"), - HIVE_SERVER2_THRIFT_WORKER_KEEPALIVE_TIME("hive.server2.thrift.worker.keepalive.time", "60s", - new TimeValidator(TimeUnit.SECONDS), - "Keepalive time (in seconds) for an idle worker thread. When the number of workers exceeds min workers, " + - "excessive threads are killed after this time interval."), - - // Configuration for async thread pool in SessionManager - HIVE_SERVER2_ASYNC_EXEC_THREADS("hive.server2.async.exec.threads", 100, - "Number of threads in the async thread pool for HiveServer2"), - HIVE_SERVER2_ASYNC_EXEC_SHUTDOWN_TIMEOUT("hive.server2.async.exec.shutdown.timeout", "10s", - new TimeValidator(TimeUnit.SECONDS), - "How long HiveServer2 shutdown will wait for async threads to terminate."), - HIVE_SERVER2_ASYNC_EXEC_WAIT_QUEUE_SIZE("hive.server2.async.exec.wait.queue.size", 100, - "Size of the wait queue for async thread pool in HiveServer2.\n" + - "After hitting this limit, the async thread pool will reject new requests."), - HIVE_SERVER2_ASYNC_EXEC_KEEPALIVE_TIME("hive.server2.async.exec.keepalive.time", "10s", - new TimeValidator(TimeUnit.SECONDS), - "Time that an idle HiveServer2 async thread (from the thread pool) will wait for a new task\n" + - "to arrive before terminating"), - HIVE_SERVER2_ASYNC_EXEC_ASYNC_COMPILE("hive.server2.async.exec.async.compile", false, - "Whether to enable compiling async query asynchronously. If enabled, it is unknown if the query will have any resultset before compilation completed."), - HIVE_SERVER2_LONG_POLLING_TIMEOUT("hive.server2.long.polling.timeout", "5000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Time that HiveServer2 will wait before responding to asynchronous calls that use long polling"), - - HIVE_SESSION_IMPL_CLASSNAME("hive.session.impl.classname", null, "Classname for custom implementation of hive session"), - HIVE_SESSION_IMPL_WITH_UGI_CLASSNAME("hive.session.impl.withugi.classname", null, "Classname for custom implementation of hive session with UGI"), - - // HiveServer2 auth configuration - HIVE_SERVER2_AUTHENTICATION("hive.server2.authentication", "NONE", - new StringSet("NOSASL", "NONE", "LDAP", "KERBEROS", "PAM", "CUSTOM"), - "Client authentication types.\n" + - " NONE: no authentication check\n" + - " LDAP: LDAP/AD based authentication\n" + - " KERBEROS: Kerberos/GSSAPI authentication\n" + - " CUSTOM: Custom authentication provider\n" + - " (Use with property hive.server2.custom.authentication.class)\n" + - " PAM: Pluggable authentication module\n" + - " NOSASL: Raw transport"), - HIVE_SERVER2_ALLOW_USER_SUBSTITUTION("hive.server2.allow.user.substitution", true, - "Allow alternate user to be specified as part of HiveServer2 open connection request."), - HIVE_SERVER2_KERBEROS_KEYTAB("hive.server2.authentication.kerberos.keytab", "", - "Kerberos keytab file for server principal"), - HIVE_SERVER2_KERBEROS_PRINCIPAL("hive.server2.authentication.kerberos.principal", "", - "Kerberos server principal"), - HIVE_SERVER2_SPNEGO_KEYTAB("hive.server2.authentication.spnego.keytab", "", - "keytab file for SPNego principal, optional,\n" + - "typical value would look like /etc/security/keytabs/spnego.service.keytab,\n" + - "This keytab would be used by HiveServer2 when Kerberos security is enabled and \n" + - "HTTP transport mode is used.\n" + - "This needs to be set only if SPNEGO is to be used in authentication.\n" + - "SPNego authentication would be honored only if valid\n" + - " hive.server2.authentication.spnego.principal\n" + - "and\n" + - " hive.server2.authentication.spnego.keytab\n" + - "are specified."), - HIVE_SERVER2_SPNEGO_PRINCIPAL("hive.server2.authentication.spnego.principal", "", - "SPNego service principal, optional,\n" + - "typical value would look like HTTP/_HOST@EXAMPLE.COM\n" + - "SPNego service principal would be used by HiveServer2 when Kerberos security is enabled\n" + - "and HTTP transport mode is used.\n" + - "This needs to be set only if SPNEGO is to be used in authentication."), - HIVE_SERVER2_PLAIN_LDAP_URL("hive.server2.authentication.ldap.url", null, - "LDAP connection URL(s),\n" + - "this value could contain URLs to mutiple LDAP servers instances for HA,\n" + - "each LDAP URL is separated by a SPACE character. URLs are used in the \n" + - " order specified until a connection is successful."), - HIVE_SERVER2_PLAIN_LDAP_BASEDN("hive.server2.authentication.ldap.baseDN", null, "LDAP base DN"), - HIVE_SERVER2_PLAIN_LDAP_DOMAIN("hive.server2.authentication.ldap.Domain", null, ""), - HIVE_SERVER2_PLAIN_LDAP_GROUPDNPATTERN("hive.server2.authentication.ldap.groupDNPattern", null, - "COLON-separated list of patterns to use to find DNs for group entities in this directory.\n" + - "Use %s where the actual group name is to be substituted for.\n" + - "For example: CN=%s,CN=Groups,DC=subdomain,DC=domain,DC=com."), - HIVE_SERVER2_PLAIN_LDAP_GROUPFILTER("hive.server2.authentication.ldap.groupFilter", null, - "COMMA-separated list of LDAP Group names (short name not full DNs).\n" + - "For example: HiveAdmins,HadoopAdmins,Administrators"), - HIVE_SERVER2_PLAIN_LDAP_USERDNPATTERN("hive.server2.authentication.ldap.userDNPattern", null, - "COLON-separated list of patterns to use to find DNs for users in this directory.\n" + - "Use %s where the actual group name is to be substituted for.\n" + - "For example: CN=%s,CN=Users,DC=subdomain,DC=domain,DC=com."), - HIVE_SERVER2_PLAIN_LDAP_USERFILTER("hive.server2.authentication.ldap.userFilter", null, - "COMMA-separated list of LDAP usernames (just short names, not full DNs).\n" + - "For example: hiveuser,impalauser,hiveadmin,hadoopadmin"), - HIVE_SERVER2_PLAIN_LDAP_GUIDKEY("hive.server2.authentication.ldap.guidKey", "uid", - "LDAP attribute name whose values are unique in this LDAP server.\n" + - "For example: uid or CN."), - HIVE_SERVER2_PLAIN_LDAP_GROUPMEMBERSHIP_KEY("hive.server2.authentication.ldap.groupMembershipKey", "member", - "LDAP attribute name on the group object that contains the list of distinguished names\n" + - "for the user, group, and contact objects that are members of the group.\n" + - "For example: member, uniqueMember or memberUid"), - HIVE_SERVER2_PLAIN_LDAP_USERMEMBERSHIP_KEY(HIVE_SERVER2_AUTHENTICATION_LDAP_USERMEMBERSHIPKEY_NAME, null, - "LDAP attribute name on the user object that contains groups of which the user is\n" + - "a direct member, except for the primary group, which is represented by the\n" + - "primaryGroupId.\n" + - "For example: memberOf"), - HIVE_SERVER2_PLAIN_LDAP_GROUPCLASS_KEY("hive.server2.authentication.ldap.groupClassKey", "groupOfNames", - "LDAP attribute name on the group entry that is to be used in LDAP group searches.\n" + - "For example: group, groupOfNames or groupOfUniqueNames."), - HIVE_SERVER2_PLAIN_LDAP_CUSTOMLDAPQUERY("hive.server2.authentication.ldap.customLDAPQuery", null, - "A full LDAP query that LDAP Atn provider uses to execute against LDAP Server.\n" + - "If this query returns a null resultset, the LDAP Provider fails the Authentication\n" + - "request, succeeds if the user is part of the resultset." + - "For example: (&(objectClass=group)(objectClass=top)(instanceType=4)(cn=Domain*)) \n" + - "(&(objectClass=person)(|(sAMAccountName=admin)(|(memberOf=CN=Domain Admins,CN=Users,DC=domain,DC=com)" + - "(memberOf=CN=Administrators,CN=Builtin,DC=domain,DC=com))))"), - HIVE_SERVER2_CUSTOM_AUTHENTICATION_CLASS("hive.server2.custom.authentication.class", null, - "Custom authentication class. Used when property\n" + - "'hive.server2.authentication' is set to 'CUSTOM'. Provided class\n" + - "must be a proper implementation of the interface\n" + - "org.apache.hive.service.auth.PasswdAuthenticationProvider. HiveServer2\n" + - "will call its Authenticate(user, passed) method to authenticate requests.\n" + - "The implementation may optionally implement Hadoop's\n" + - "org.apache.hadoop.conf.Configurable class to grab Hive's Configuration object."), - HIVE_SERVER2_PAM_SERVICES("hive.server2.authentication.pam.services", null, - "List of the underlying pam services that should be used when auth type is PAM\n" + - "A file with the same name must exist in /etc/pam.d"), - - HIVE_SERVER2_ENABLE_DOAS("hive.server2.enable.doAs", true, - "Setting this property to true will have HiveServer2 execute\n" + - "Hive operations as the user making the calls to it."), - HIVE_DISTCP_DOAS_USER("hive.distcp.privileged.doAs","hdfs", - "This property allows privileged distcp executions done by hive\n" + - "to run as this user. Typically, it should be the user you\n" + - "run the namenode as, such as the 'hdfs' user."), - HIVE_SERVER2_TABLE_TYPE_MAPPING("hive.server2.table.type.mapping", "CLASSIC", new StringSet("CLASSIC", "HIVE"), - "This setting reflects how HiveServer2 will report the table types for JDBC and other\n" + - "client implementations that retrieve the available tables and supported table types\n" + - " HIVE : Exposes Hive's native table types like MANAGED_TABLE, EXTERNAL_TABLE, VIRTUAL_VIEW\n" + - " CLASSIC : More generic types like TABLE and VIEW"), - HIVE_SERVER2_SESSION_HOOK("hive.server2.session.hook", "", ""), - - // SSL settings - HIVE_SERVER2_USE_SSL("hive.server2.use.SSL", false, - "Set this to true for using SSL encryption in HiveServer2."), - HIVE_SERVER2_SSL_KEYSTORE_PATH("hive.server2.keystore.path", "", - "SSL certificate keystore location."), - HIVE_SERVER2_SSL_KEYSTORE_PASSWORD("hive.server2.keystore.password", "", - "SSL certificate keystore password."), - HIVE_SERVER2_MAP_FAIR_SCHEDULER_QUEUE("hive.server2.map.fair.scheduler.queue", true, - "If the YARN fair scheduler is configured and HiveServer2 is running in non-impersonation mode,\n" + - "this setting determines the user for fair scheduler queue mapping.\n" + - "If set to true (default), the logged-in user determines the fair scheduler queue\n" + - "for submitted jobs, so that map reduce resource usage can be tracked by user.\n" + - "If set to false, all Hive jobs go to the 'hive' user's queue."), - HIVE_SERVER2_BUILTIN_UDF_WHITELIST("hive.server2.builtin.udf.whitelist", "", - "Comma separated list of builtin udf names allowed in queries.\n" + - "An empty whitelist allows all builtin udfs to be executed. " + - " The udf black list takes precedence over udf white list"), - HIVE_SERVER2_BUILTIN_UDF_BLACKLIST("hive.server2.builtin.udf.blacklist", "", - "Comma separated list of udfs names. These udfs will not be allowed in queries." + - " The udf black list takes precedence over udf white list"), - HIVE_ALLOW_UDF_LOAD_ON_DEMAND("hive.allow.udf.load.on.demand", false, - "Whether enable loading UDFs from metastore on demand; this is mostly relevant for\n" + - "HS2 and was the default behavior before Hive 1.2. Off by default."), - - HIVE_SERVER2_SESSION_CHECK_INTERVAL("hive.server2.session.check.interval", "6h", - new TimeValidator(TimeUnit.MILLISECONDS, 3000l, true, null, false), - "The check interval for session/operation timeout, which can be disabled by setting to zero or negative value."), - HIVE_SERVER2_CLOSE_SESSION_ON_DISCONNECT("hive.server2.close.session.on.disconnect", true, - "Session will be closed when connection is closed. Set this to false to have session outlive its parent connection."), - HIVE_SERVER2_IDLE_SESSION_TIMEOUT("hive.server2.idle.session.timeout", "7d", - new TimeValidator(TimeUnit.MILLISECONDS), - "Session will be closed when it's not accessed for this duration, which can be disabled by setting to zero or negative value."), - HIVE_SERVER2_IDLE_OPERATION_TIMEOUT("hive.server2.idle.operation.timeout", "5d", - new TimeValidator(TimeUnit.MILLISECONDS), - "Operation will be closed when it's not accessed for this duration of time, which can be disabled by setting to zero value.\n" + - " With positive value, it's checked for operations in terminal state only (FINISHED, CANCELED, CLOSED, ERROR).\n" + - " With negative value, it's checked for all of the operations regardless of state."), - HIVE_SERVER2_IDLE_SESSION_CHECK_OPERATION("hive.server2.idle.session.check.operation", true, - "Session will be considered to be idle only if there is no activity, and there is no pending operation.\n" + - " This setting takes effect only if session idle timeout (hive.server2.idle.session.timeout) and checking\n" + - "(hive.server2.session.check.interval) are enabled."), - HIVE_SERVER2_THRIFT_CLIENT_RETRY_LIMIT("hive.server2.thrift.client.retry.limit", 1,"Number of retries upon " + - "failure of Thrift HiveServer2 calls"), - HIVE_SERVER2_THRIFT_CLIENT_CONNECTION_RETRY_LIMIT("hive.server2.thrift.client.connect.retry.limit", 1,"Number of " + - "retries while opening a connection to HiveServe2"), - HIVE_SERVER2_THRIFT_CLIENT_RETRY_DELAY_SECONDS("hive.server2.thrift.client.retry.delay.seconds", "1s", - new TimeValidator(TimeUnit.SECONDS), "Number of seconds for the HiveServer2 thrift client to wait between " + - "consecutive connection attempts. Also specifies the time to wait between retrying thrift calls upon failures"), - HIVE_SERVER2_THRIFT_CLIENT_USER("hive.server2.thrift.client.user", "anonymous","Username to use against thrift" + - " client"), - HIVE_SERVER2_THRIFT_CLIENT_PASSWORD("hive.server2.thrift.client.password", "anonymous","Password to use against " + - "thrift client"), - - // ResultSet serialization settings - HIVE_SERVER2_THRIFT_RESULTSET_SERIALIZE_IN_TASKS("hive.server2.thrift.resultset.serialize.in.tasks", false, - "Whether we should serialize the Thrift structures used in JDBC ResultSet RPC in task nodes.\n " + - "We use SequenceFile and ThriftJDBCBinarySerDe to read and write the final results if this is true."), - // TODO: Make use of this config to configure fetch size - HIVE_SERVER2_THRIFT_RESULTSET_MAX_FETCH_SIZE("hive.server2.thrift.resultset.max.fetch.size", - 10000, "Max number of rows sent in one Fetch RPC call by the server to the client."), - HIVE_SERVER2_THRIFT_RESULTSET_DEFAULT_FETCH_SIZE("hive.server2.thrift.resultset.default.fetch.size", 1000, - "The number of rows sent in one Fetch RPC call by the server to the client, if not\n" + - "specified by the client."), - HIVE_SERVER2_XSRF_FILTER_ENABLED("hive.server2.xsrf.filter.enabled",false, - "If enabled, HiveServer2 will block any requests made to it over http " + - "if an X-XSRF-HEADER header is not present"), - HIVE_SECURITY_COMMAND_WHITELIST("hive.security.command.whitelist", "set,reset,dfs,add,list,delete,reload,compile", - "Comma separated list of non-SQL Hive commands users are authorized to execute"), - HIVE_SERVER2_JOB_CREDENTIAL_PROVIDER_PATH("hive.server2.job.credential.provider.path", "", - "If set, this configuration property should provide a comma-separated list of URLs that indicates the type and " + - "location of providers to be used by hadoop credential provider API. It provides HiveServer2 the ability to provide job-specific " + - "credential providers for jobs run using MR and Spark execution engines. This functionality has not been tested against Tez."), - HIVE_MOVE_FILES_THREAD_COUNT("hive.mv.files.thread", 15, new SizeValidator(0L, true, 1024L, true), "Number of threads" - + " used to move files in move task. Set it to 0 to disable multi-threaded file moves. This parameter is also used by" - + " MSCK to check tables."), - HIVE_LOAD_DYNAMIC_PARTITIONS_THREAD_COUNT("hive.load.dynamic.partitions.thread", 15, - new SizeValidator(1L, true, 1024L, true), - "Number of threads used to load dynamic partitions."), - // If this is set all move tasks at the end of a multi-insert query will only begin once all - // outputs are ready - HIVE_MULTI_INSERT_MOVE_TASKS_SHARE_DEPENDENCIES( - "hive.multi.insert.move.tasks.share.dependencies", false, - "If this is set all move tasks for tables/partitions (not directories) at the end of a\n" + - "multi-insert query will only begin once the dependencies for all these move tasks have been\n" + - "met.\n" + - "Advantages: If concurrency is enabled, the locks will only be released once the query has\n" + - " finished, so with this config enabled, the time when the table/partition is\n" + - " generated will be much closer to when the lock on it is released.\n" + - "Disadvantages: If concurrency is not enabled, with this disabled, the tables/partitions which\n" + - " are produced by this query and finish earlier will be available for querying\n" + - " much earlier. Since the locks are only released once the query finishes, this\n" + - " does not apply if concurrency is enabled."), - - HIVE_INFER_BUCKET_SORT("hive.exec.infer.bucket.sort", false, - "If this is set, when writing partitions, the metadata will include the bucketing/sorting\n" + - "properties with which the data was written if any (this will not overwrite the metadata\n" + - "inherited from the table if the table is bucketed/sorted)"), - - HIVE_INFER_BUCKET_SORT_NUM_BUCKETS_POWER_TWO( - "hive.exec.infer.bucket.sort.num.buckets.power.two", false, - "If this is set, when setting the number of reducers for the map reduce task which writes the\n" + - "final output files, it will choose a number which is a power of two, unless the user specifies\n" + - "the number of reducers to use using mapred.reduce.tasks. The number of reducers\n" + - "may be set to a power of two, only to be followed by a merge task meaning preventing\n" + - "anything from being inferred.\n" + - "With hive.exec.infer.bucket.sort set to true:\n" + - "Advantages: If this is not set, the number of buckets for partitions will seem arbitrary,\n" + - " which means that the number of mappers used for optimized joins, for example, will\n" + - " be very low. With this set, since the number of buckets used for any partition is\n" + - " a power of two, the number of mappers used for optimized joins will be the least\n" + - " number of buckets used by any partition being joined.\n" + - "Disadvantages: This may mean a much larger or much smaller number of reducers being used in the\n" + - " final map reduce job, e.g. if a job was originally going to take 257 reducers,\n" + - " it will now take 512 reducers, similarly if the max number of reducers is 511,\n" + - " and a job was going to use this many, it will now use 256 reducers."), - - HIVEOPTLISTBUCKETING("hive.optimize.listbucketing", false, - "Enable list bucketing optimizer. Default value is false so that we disable it by default."), - - // Allow TCP Keep alive socket option for for HiveServer or a maximum timeout for the socket. - SERVER_READ_SOCKET_TIMEOUT("hive.server.read.socket.timeout", "10s", - new TimeValidator(TimeUnit.SECONDS), - "Timeout for the HiveServer to close the connection if no response from the client. By default, 10 seconds."), - SERVER_TCP_KEEP_ALIVE("hive.server.tcp.keepalive", true, - "Whether to enable TCP keepalive for the Hive Server. Keepalive will prevent accumulation of half-open connections."), - - HIVE_DECODE_PARTITION_NAME("hive.decode.partition.name", false, - "Whether to show the unquoted partition names in query results."), - - HIVE_EXECUTION_ENGINE("hive.execution.engine", "mr", new StringSet("mr", "tez", "spark"), - "Chooses execution engine. Options are: mr (Map reduce, default), tez, spark. While MR\n" + - "remains the default engine for historical reasons, it is itself a historical engine\n" + - "and is deprecated in Hive 2 line. It may be removed without further warning."), - - HIVE_EXECUTION_MODE("hive.execution.mode", "container", new StringSet("container", "llap"), - "Chooses whether query fragments will run in container or in llap"), - - HIVE_JAR_DIRECTORY("hive.jar.directory", null, - "This is the location hive in tez mode will look for to find a site wide \n" + - "installed hive instance."), - HIVE_USER_INSTALL_DIR("hive.user.install.directory", "/user/", - "If hive (in tez mode only) cannot find a usable hive jar in \"hive.jar.directory\", \n" + - "it will upload the hive jar to \"hive.user.install.directory/user.name\"\n" + - "and use it to run queries."), - - // Vectorization enabled - HIVE_VECTORIZATION_ENABLED("hive.vectorized.execution.enabled", false, - "This flag should be set to true to enable vectorized mode of query execution.\n" + - "The default value is false."), - HIVE_VECTORIZATION_REDUCE_ENABLED("hive.vectorized.execution.reduce.enabled", true, - "This flag should be set to true to enable vectorized mode of the reduce-side of query execution.\n" + - "The default value is true."), - HIVE_VECTORIZATION_REDUCE_GROUPBY_ENABLED("hive.vectorized.execution.reduce.groupby.enabled", true, - "This flag should be set to true to enable vectorized mode of the reduce-side GROUP BY query execution.\n" + - "The default value is true."), - HIVE_VECTORIZATION_MAPJOIN_NATIVE_ENABLED("hive.vectorized.execution.mapjoin.native.enabled", true, - "This flag should be set to true to enable native (i.e. non-pass through) vectorization\n" + - "of queries using MapJoin.\n" + - "The default value is true."), - HIVE_VECTORIZATION_MAPJOIN_NATIVE_MULTIKEY_ONLY_ENABLED("hive.vectorized.execution.mapjoin.native.multikey.only.enabled", false, - "This flag should be set to true to restrict use of native vector map join hash tables to\n" + - "the MultiKey in queries using MapJoin.\n" + - "The default value is false."), - HIVE_VECTORIZATION_MAPJOIN_NATIVE_MINMAX_ENABLED("hive.vectorized.execution.mapjoin.minmax.enabled", false, - "This flag should be set to true to enable vector map join hash tables to\n" + - "use max / max filtering for integer join queries using MapJoin.\n" + - "The default value is false."), - HIVE_VECTORIZATION_MAPJOIN_NATIVE_OVERFLOW_REPEATED_THRESHOLD("hive.vectorized.execution.mapjoin.overflow.repeated.threshold", -1, - "The number of small table rows for a match in vector map join hash tables\n" + - "where we use the repeated field optimization in overflow vectorized row batch for join queries using MapJoin.\n" + - "A value of -1 means do use the join result optimization. Otherwise, threshold value can be 0 to maximum integer."), - HIVE_VECTORIZATION_MAPJOIN_NATIVE_FAST_HASHTABLE_ENABLED("hive.vectorized.execution.mapjoin.native.fast.hashtable.enabled", false, - "This flag should be set to true to enable use of native fast vector map join hash tables in\n" + - "queries using MapJoin.\n" + - "The default value is false."), - HIVE_VECTORIZATION_GROUPBY_CHECKINTERVAL("hive.vectorized.groupby.checkinterval", 100000, - "Number of entries added to the group by aggregation hash before a recomputation of average entry size is performed."), - HIVE_VECTORIZATION_GROUPBY_MAXENTRIES("hive.vectorized.groupby.maxentries", 1000000, - "Max number of entries in the vector group by aggregation hashtables. \n" + - "Exceeding this will trigger a flush irrelevant of memory pressure condition."), - HIVE_VECTORIZATION_GROUPBY_FLUSH_PERCENT("hive.vectorized.groupby.flush.percent", (float) 0.1, - "Percent of entries in the group by aggregation hash flushed when the memory threshold is exceeded."), - HIVE_VECTORIZATION_REDUCESINK_NEW_ENABLED("hive.vectorized.execution.reducesink.new.enabled", true, - "This flag should be set to true to enable the new vectorization\n" + - "of queries using ReduceSink.\ni" + - "The default value is true."), - HIVE_VECTORIZATION_USE_VECTORIZED_INPUT_FILE_FORMAT("hive.vectorized.use.vectorized.input.format", true, - "This flag should be set to true to enable vectorizing with vectorized input file format capable SerDe.\n" + - "The default value is true."), - HIVE_VECTORIZATION_USE_VECTOR_DESERIALIZE("hive.vectorized.use.vector.serde.deserialize", true, - "This flag should be set to true to enable vectorizing rows using vector deserialize.\n" + - "The default value is true."), - HIVE_VECTORIZATION_USE_ROW_DESERIALIZE("hive.vectorized.use.row.serde.deserialize", false, - "This flag should be set to true to enable vectorizing using row deserialize.\n" + - "The default value is false."), - HIVE_VECTOR_ADAPTOR_USAGE_MODE("hive.vectorized.adaptor.usage.mode", "all", new StringSet("none", "chosen", "all"), - "Specifies the extent to which the VectorUDFAdaptor will be used for UDFs that do not have a cooresponding vectorized class.\n" + - "0. none : disable any usage of VectorUDFAdaptor\n" + - "1. chosen : use VectorUDFAdaptor for a small set of UDFs that were choosen for good performance\n" + - "2. all : use VectorUDFAdaptor for all UDFs" - ), - - HIVE_TYPE_CHECK_ON_INSERT("hive.typecheck.on.insert", true, "This property has been extended to control " - + "whether to check, convert, and normalize partition value to conform to its column type in " - + "partition operations including but not limited to insert, such as alter, describe etc."), - - HIVE_HADOOP_CLASSPATH("hive.hadoop.classpath", null, - "For Windows OS, we need to pass HIVE_HADOOP_CLASSPATH Java parameter while starting HiveServer2 \n" + - "using \"-hiveconf hive.hadoop.classpath=%HIVE_LIB%\"."), - - HIVE_RPC_QUERY_PLAN("hive.rpc.query.plan", false, - "Whether to send the query plan via local resource or RPC"), - HIVE_AM_SPLIT_GENERATION("hive.compute.splits.in.am", true, - "Whether to generate the splits locally or in the AM (tez only)"), - HIVE_TEZ_GENERATE_CONSISTENT_SPLITS("hive.tez.input.generate.consistent.splits", true, - "Whether to generate consistent split locations when generating splits in the AM"), - HIVE_PREWARM_ENABLED("hive.prewarm.enabled", false, "Enables container prewarm for Tez/Spark (Hadoop 2 only)"), - HIVE_PREWARM_NUM_CONTAINERS("hive.prewarm.numcontainers", 10, "Controls the number of containers to prewarm for Tez/Spark (Hadoop 2 only)"), - - HIVESTAGEIDREARRANGE("hive.stageid.rearrange", "none", new StringSet("none", "idonly", "traverse", "execution"), ""), - HIVEEXPLAINDEPENDENCYAPPENDTASKTYPES("hive.explain.dependency.append.tasktype", false, ""), - - HIVECOUNTERGROUP("hive.counters.group.name", "HIVE", - "The name of counter group for internal Hive variables (CREATED_FILE, FATAL_ERROR, etc.)"), - - HIVE_QUOTEDID_SUPPORT("hive.support.quoted.identifiers", "column", - new StringSet("none", "column"), - "Whether to use quoted identifier. 'none' or 'column' can be used. \n" + - " none: default(past) behavior. Implies only alphaNumeric and underscore are valid characters in identifiers.\n" + - " column: implies column names can contain any character." - ), - HIVE_SUPPORT_SPECICAL_CHARACTERS_IN_TABLE_NAMES("hive.support.special.characters.tablename", true, - "This flag should be set to true to enable support for special characters in table names.\n" - + "When it is set to false, only [a-zA-Z_0-9]+ are supported.\n" - + "The only supported special character right now is '/'. This flag applies only to quoted table names.\n" - + "The default value is true."), - // role names are case-insensitive - USERS_IN_ADMIN_ROLE("hive.users.in.admin.role", "", false, - "Comma separated list of users who are in admin role for bootstrapping.\n" + - "More users can be added in ADMIN role later."), - - HIVE_COMPAT("hive.compat", HiveCompat.DEFAULT_COMPAT_LEVEL, - "Enable (configurable) deprecated behaviors by setting desired level of backward compatibility.\n" + - "Setting to 0.12:\n" + - " Maintains division behavior: int / int = double"), - HIVE_CONVERT_JOIN_BUCKET_MAPJOIN_TEZ("hive.convert.join.bucket.mapjoin.tez", false, - "Whether joins can be automatically converted to bucket map joins in hive \n" + - "when tez is used as the execution engine."), - - HIVE_CHECK_CROSS_PRODUCT("hive.exec.check.crossproducts", true, - "Check if a plan contains a Cross Product. If there is one, output a warning to the Session's console."), - HIVE_LOCALIZE_RESOURCE_WAIT_INTERVAL("hive.localize.resource.wait.interval", "5000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Time to wait for another thread to localize the same resource for hive-tez."), - HIVE_LOCALIZE_RESOURCE_NUM_WAIT_ATTEMPTS("hive.localize.resource.num.wait.attempts", 5, - "The number of attempts waiting for localizing a resource in hive-tez."), - TEZ_AUTO_REDUCER_PARALLELISM("hive.tez.auto.reducer.parallelism", false, - "Turn on Tez' auto reducer parallelism feature. When enabled, Hive will still estimate data sizes\n" + - "and set parallelism estimates. Tez will sample source vertices' output sizes and adjust the estimates at runtime as\n" + - "necessary."), - TEZ_LLAP_MIN_REDUCER_PER_EXECUTOR("hive.tez.llap.min.reducer.per.executor", 0.95f, - "If above 0, the min number of reducers for auto-parallelism for LLAP scheduling will\n" + - "be set to this fraction of the number of executors."), - TEZ_MAX_PARTITION_FACTOR("hive.tez.max.partition.factor", 2f, - "When auto reducer parallelism is enabled this factor will be used to over-partition data in shuffle edges."), - TEZ_MIN_PARTITION_FACTOR("hive.tez.min.partition.factor", 0.25f, - "When auto reducer parallelism is enabled this factor will be used to put a lower limit to the number\n" + - "of reducers that tez specifies."), - TEZ_OPTIMIZE_BUCKET_PRUNING( - "hive.tez.bucket.pruning", false, - "When pruning is enabled, filters on bucket columns will be processed by \n" + - "filtering the splits against a bitset of included buckets. This needs predicates \n"+ - "produced by hive.optimize.ppd and hive.optimize.index.filters."), - TEZ_OPTIMIZE_BUCKET_PRUNING_COMPAT( - "hive.tez.bucket.pruning.compat", true, - "When pruning is enabled, handle possibly broken inserts due to negative hashcodes.\n" + - "This occasionally doubles the data scan cost, but is default enabled for safety"), - TEZ_DYNAMIC_PARTITION_PRUNING( - "hive.tez.dynamic.partition.pruning", true, - "When dynamic pruning is enabled, joins on partition keys will be processed by sending\n" + - "events from the processing vertices to the Tez application master. These events will be\n" + - "used to prune unnecessary partitions."), - TEZ_DYNAMIC_PARTITION_PRUNING_MAX_EVENT_SIZE("hive.tez.dynamic.partition.pruning.max.event.size", 1*1024*1024L, - "Maximum size of events sent by processors in dynamic pruning. If this size is crossed no pruning will take place."), - - TEZ_DYNAMIC_PARTITION_PRUNING_MAX_DATA_SIZE("hive.tez.dynamic.partition.pruning.max.data.size", 100*1024*1024L, - "Maximum total data size of events in dynamic pruning."), - TEZ_DYNAMIC_SEMIJOIN_REDUCTION("hive.tez.dynamic.semijoin.reduction", true, - "When dynamic semijoin is enabled, shuffle joins will perform a leaky semijoin before shuffle. This " + - "requires hive.tez.dynamic.partition.pruning to be enabled."), - TEZ_MIN_BLOOM_FILTER_ENTRIES("hive.tez.min.bloom.filter.entries", 1000000L, - "Bloom filter should be of at min certain size to be effective"), - TEZ_MAX_BLOOM_FILTER_ENTRIES("hive.tez.max.bloom.filter.entries", 100000000L, - "Bloom filter should be of at max certain size to be effective"), - TEZ_BLOOM_FILTER_FACTOR("hive.tez.bloom.filter.factor", (float) 2.0, - "Bloom filter should be a multiple of this factor with nDV"), - TEZ_BIGTABLE_MIN_SIZE_SEMIJOIN_REDUCTION("hive.tez.bigtable.minsize.semijoin.reduction", 100000000L, - "Big table for runtime filteting should be of atleast this size"), - TEZ_DYNAMIC_SEMIJOIN_REDUCTION_THRESHOLD("hive.tez.dynamic.semijoin.reduction.threshold", (float) 0.50, - "Only perform semijoin optimization if the estimated benefit at or above this fraction of the target table"), - TEZ_SMB_NUMBER_WAVES( - "hive.tez.smb.number.waves", - (float) 0.5, - "The number of waves in which to run the SMB join. Account for cluster being occupied. Ideally should be 1 wave."), - TEZ_EXEC_SUMMARY( - "hive.tez.exec.print.summary", - false, - "Display breakdown of execution steps, for every query executed by the shell."), - TEZ_EXEC_INPLACE_PROGRESS( - "hive.tez.exec.inplace.progress", - true, - "Updates tez job execution progress in-place in the terminal when hive-cli is used."), - HIVE_SERVER2_INPLACE_PROGRESS( - "hive.server2.in.place.progress", - true, - "Allows hive server 2 to send progress bar update information. This is currently available" - + " only if the execution engine is tez."), - SPARK_EXEC_INPLACE_PROGRESS("hive.spark.exec.inplace.progress", true, - "Updates spark job execution progress in-place in the terminal."), - TEZ_CONTAINER_MAX_JAVA_HEAP_FRACTION("hive.tez.container.max.java.heap.fraction", 0.8f, - "This is to override the tez setting with the same name"), - TEZ_TASK_SCALE_MEMORY_RESERVE_FRACTION_MIN("hive.tez.task.scale.memory.reserve-fraction.min", - 0.3f, "This is to override the tez setting tez.task.scale.memory.reserve-fraction"), - TEZ_TASK_SCALE_MEMORY_RESERVE_FRACTION_MAX("hive.tez.task.scale.memory.reserve.fraction.max", - 0.5f, "The maximum fraction of JVM memory which Tez will reserve for the processor"), - TEZ_TASK_SCALE_MEMORY_RESERVE_FRACTION("hive.tez.task.scale.memory.reserve.fraction", - -1f, "The customized fraction of JVM memory which Tez will reserve for the processor"), - // The default is different on the client and server, so it's null here. - LLAP_IO_ENABLED("hive.llap.io.enabled", null, "Whether the LLAP IO layer is enabled."), - LLAP_IO_NONVECTOR_WRAPPER_ENABLED("hive.llap.io.nonvector.wrapper.enabled", true, - "Whether the LLAP IO layer is enabled for non-vectorized queries that read inputs\n" + - "that can be vectorized"), - LLAP_IO_MEMORY_MODE("hive.llap.io.memory.mode", "cache", - new StringSet("cache", "none"), - "LLAP IO memory usage; 'cache' (the default) uses data and metadata cache with a\n" + - "custom off-heap allocator, 'none' doesn't use either (this mode may result in\n" + - "significant performance degradation)"), - LLAP_ALLOCATOR_MIN_ALLOC("hive.llap.io.allocator.alloc.min", "16Kb", new SizeValidator(), - "Minimum allocation possible from LLAP buddy allocator. Allocations below that are\n" + - "padded to minimum allocation. For ORC, should generally be the same as the expected\n" + - "compression buffer size, or next lowest power of 2. Must be a power of 2."), - LLAP_ALLOCATOR_MAX_ALLOC("hive.llap.io.allocator.alloc.max", "16Mb", new SizeValidator(), - "Maximum allocation possible from LLAP buddy allocator. For ORC, should be as large as\n" + - "the largest expected ORC compression buffer size. Must be a power of 2."), - @Deprecated - LLAP_IO_METADATA_FRACTION("hive.llap.io.metadata.fraction", 0.1f, - "Temporary setting for on-heap metadata cache fraction of xmx, set to avoid potential\n" + - "heap problems on very large datasets when on-heap metadata cache takes over\n" + - "everything. -1 managed metadata and data together (which is more flexible). This\n" + - "setting will be removed (in effect become -1) once ORC metadata cache is moved off-heap."), - LLAP_ALLOCATOR_ARENA_COUNT("hive.llap.io.allocator.arena.count", 8, - "Arena count for LLAP low-level cache; cache will be allocated in the steps of\n" + - "(size/arena_count) bytes. This size must be <= 1Gb and >= max allocation; if it is\n" + - "not the case, an adjusted size will be used. Using powers of 2 is recommended."), - LLAP_IO_MEMORY_MAX_SIZE("hive.llap.io.memory.size", "1Gb", new SizeValidator(), - "Maximum size for IO allocator or ORC low-level cache.", "hive.llap.io.cache.orc.size"), - LLAP_ALLOCATOR_DIRECT("hive.llap.io.allocator.direct", true, - "Whether ORC low-level cache should use direct allocation."), - LLAP_ALLOCATOR_MAPPED("hive.llap.io.allocator.mmap", false, - "Whether ORC low-level cache should use memory mapped allocation (direct I/O). \n" + - "This is recommended to be used along-side NVDIMM (DAX) or NVMe flash storage."), - LLAP_ALLOCATOR_MAPPED_PATH("hive.llap.io.allocator.mmap.path", "/tmp", - new WritableDirectoryValidator(), - "The directory location for mapping NVDIMM/NVMe flash storage into the ORC low-level cache."), - LLAP_ALLOCATOR_DISCARD_METHOD("hive.llap.io.allocator.discard.method", "both", - new StringSet("freelist", "brute", "both"), - "Which method to use to force-evict blocks to deal with fragmentation:\n" + - "freelist - use half-size free list (discards less, but also less reliable); brute -\n" + - "brute force, discard whatever we can; both - first try free list, then brute force."), - LLAP_ALLOCATOR_DEFRAG_HEADROOM("hive.llap.io.allocator.defrag.headroom", "1Mb", - "How much of a headroom to leave to allow allocator more flexibility to defragment.\n" + - "The allocator would further cap it to a fraction of total memory."), - LLAP_USE_LRFU("hive.llap.io.use.lrfu", true, - "Whether ORC low-level cache should use LRFU cache policy instead of default (FIFO)."), - LLAP_LRFU_LAMBDA("hive.llap.io.lrfu.lambda", 0.01f, - "Lambda for ORC low-level cache LRFU cache policy. Must be in [0, 1]. 0 makes LRFU\n" + - "behave like LFU, 1 makes it behave like LRU, values in between balance accordingly."), - LLAP_CACHE_ALLOW_SYNTHETIC_FILEID("hive.llap.cache.allow.synthetic.fileid", false, - "Whether LLAP cache should use synthetic file ID if real one is not available. Systems\n" + - "like HDFS, Isilon, etc. provide a unique file/inode ID. On other FSes (e.g. local\n" + - "FS), the cache would not work by default because LLAP is unable to uniquely track the\n" + - "files; enabling this setting allows LLAP to generate file ID from the path, size and\n" + - "modification time, which is almost certain to identify file uniquely. However, if you\n" + - "use a FS without file IDs and rewrite files a lot (or are paranoid), you might want\n" + - "to avoid this setting."), - LLAP_CACHE_ENABLE_ORC_GAP_CACHE("hive.llap.orc.gap.cache", true, - "Whether LLAP cache for ORC should remember gaps in ORC compression buffer read\n" + - "estimates, to avoid re-reading the data that was read once and discarded because it\n" + - "is unneeded. This is only necessary for ORC files written before HIVE-9660."), - LLAP_IO_USE_FILEID_PATH("hive.llap.io.use.fileid.path", true, - "Whether LLAP should use fileId (inode)-based path to ensure better consistency for the\n" + - "cases of file overwrites. This is supported on HDFS."), - // Restricted to text for now as this is a new feature; only text files can be sliced. - LLAP_IO_ENCODE_ENABLED("hive.llap.io.encode.enabled", true, - "Whether LLAP should try to re-encode and cache data for non-ORC formats. This is used\n" + - "on LLAP Server side to determine if the infrastructure for that is initialized."), - LLAP_IO_ENCODE_FORMATS("hive.llap.io.encode.formats", - "org.apache.hadoop.mapred.TextInputFormat,", - "The table input formats for which LLAP IO should re-encode and cache data.\n" + - "Comma-separated list."), - LLAP_IO_ENCODE_ALLOC_SIZE("hive.llap.io.encode.alloc.size", "256Kb", new SizeValidator(), - "Allocation size for the buffers used to cache encoded data from non-ORC files. Must\n" + - "be a power of two between " + LLAP_ALLOCATOR_MIN_ALLOC + " and\n" + - LLAP_ALLOCATOR_MAX_ALLOC + "."), - LLAP_IO_ENCODE_VECTOR_SERDE_ENABLED("hive.llap.io.encode.vector.serde.enabled", true, - "Whether LLAP should use vectorized SerDe reader to read text data when re-encoding."), - LLAP_IO_ENCODE_VECTOR_SERDE_ASYNC_ENABLED("hive.llap.io.encode.vector.serde.async.enabled", - true, - "Whether LLAP should use async mode in vectorized SerDe reader to read text data."), - LLAP_IO_ENCODE_SLICE_ROW_COUNT("hive.llap.io.encode.slice.row.count", 100000, - "Row count to use to separate cache slices when reading encoded data from row-based\n" + - "inputs into LLAP cache, if this feature is enabled."), - LLAP_IO_ENCODE_SLICE_LRR("hive.llap.io.encode.slice.lrr", true, - "Whether to separate cache slices when reading encoded data from text inputs via MR\n" + - "MR LineRecordRedader into LLAP cache, if this feature is enabled. Safety flag."), - LLAP_ORC_ENABLE_TIME_COUNTERS("hive.llap.io.orc.time.counters", true, - "Whether to enable time counters for LLAP IO layer (time spent in HDFS, etc.)"), - LLAP_AUTO_ALLOW_UBER("hive.llap.auto.allow.uber", false, - "Whether or not to allow the planner to run vertices in the AM."), - LLAP_AUTO_ENFORCE_TREE("hive.llap.auto.enforce.tree", true, - "Enforce that all parents are in llap, before considering vertex"), - LLAP_AUTO_ENFORCE_VECTORIZED("hive.llap.auto.enforce.vectorized", true, - "Enforce that inputs are vectorized, before considering vertex"), - LLAP_AUTO_ENFORCE_STATS("hive.llap.auto.enforce.stats", true, - "Enforce that col stats are available, before considering vertex"), - LLAP_AUTO_MAX_INPUT("hive.llap.auto.max.input.size", 10*1024*1024*1024L, - "Check input size, before considering vertex (-1 disables check)"), - LLAP_AUTO_MAX_OUTPUT("hive.llap.auto.max.output.size", 1*1024*1024*1024L, - "Check output size, before considering vertex (-1 disables check)"), - LLAP_SKIP_COMPILE_UDF_CHECK("hive.llap.skip.compile.udf.check", false, - "Whether to skip the compile-time check for non-built-in UDFs when deciding whether to\n" + - "execute tasks in LLAP. Skipping the check allows executing UDFs from pre-localized\n" + - "jars in LLAP; if the jars are not pre-localized, the UDFs will simply fail to load."), - LLAP_ALLOW_PERMANENT_FNS("hive.llap.allow.permanent.fns", true, - "Whether LLAP decider should allow permanent UDFs."), - LLAP_EXECUTION_MODE("hive.llap.execution.mode", "none", - new StringSet("auto", "none", "all", "map", "only"), - "Chooses whether query fragments will run in container or in llap"), - LLAP_OBJECT_CACHE_ENABLED("hive.llap.object.cache.enabled", true, - "Cache objects (plans, hashtables, etc) in llap"), - LLAP_IO_DECODING_METRICS_PERCENTILE_INTERVALS("hive.llap.io.decoding.metrics.percentiles.intervals", "30", - "Comma-delimited set of integers denoting the desired rollover intervals (in seconds)\n" + - "for percentile latency metrics on the LLAP daemon IO decoding time.\n" + - "hive.llap.queue.metrics.percentiles.intervals"), - LLAP_IO_THREADPOOL_SIZE("hive.llap.io.threadpool.size", 10, - "Specify the number of threads to use for low-level IO thread pool."), - LLAP_KERBEROS_PRINCIPAL(HIVE_LLAP_DAEMON_SERVICE_PRINCIPAL_NAME, "", - "The name of the LLAP daemon's service principal."), - LLAP_KERBEROS_KEYTAB_FILE("hive.llap.daemon.keytab.file", "", - "The path to the Kerberos Keytab file containing the LLAP daemon's service principal."), - LLAP_ZKSM_KERBEROS_PRINCIPAL("hive.llap.zk.sm.principal", "", - "The name of the principal to use to talk to ZooKeeper for ZooKeeper SecretManager."), - LLAP_ZKSM_KERBEROS_KEYTAB_FILE("hive.llap.zk.sm.keytab.file", "", - "The path to the Kerberos Keytab file containing the principal to use to talk to\n" + - "ZooKeeper for ZooKeeper SecretManager."), - LLAP_WEBUI_SPNEGO_KEYTAB_FILE("hive.llap.webui.spnego.keytab", "", - "The path to the Kerberos Keytab file containing the LLAP WebUI SPNEGO principal.\n" + - "Typical value would look like /etc/security/keytabs/spnego.service.keytab."), - LLAP_WEBUI_SPNEGO_PRINCIPAL("hive.llap.webui.spnego.principal", "", - "The LLAP WebUI SPNEGO service principal. Configured similarly to\n" + - "hive.server2.webui.spnego.principal"), - LLAP_FS_KERBEROS_PRINCIPAL("hive.llap.task.principal", "", - "The name of the principal to use to run tasks. By default, the clients are required\n" + - "to provide tokens to access HDFS/etc."), - LLAP_FS_KERBEROS_KEYTAB_FILE("hive.llap.task.keytab.file", "", - "The path to the Kerberos Keytab file containing the principal to use to run tasks.\n" + - "By default, the clients are required to provide tokens to access HDFS/etc."), - LLAP_ZKSM_ZK_CONNECTION_STRING("hive.llap.zk.sm.connectionString", "", - "ZooKeeper connection string for ZooKeeper SecretManager."), - LLAP_ZKSM_ZK_SESSION_TIMEOUT("hive.llap.zk.sm.session.timeout", "40s", new TimeValidator( - TimeUnit.MILLISECONDS), "ZooKeeper session timeout for ZK SecretManager."), - LLAP_ZK_REGISTRY_USER("hive.llap.zk.registry.user", "", - "In the LLAP ZooKeeper-based registry, specifies the username in the Zookeeper path.\n" + - "This should be the hive user or whichever user is running the LLAP daemon."), - LLAP_ZK_REGISTRY_NAMESPACE("hive.llap.zk.registry.namespace", null, - "In the LLAP ZooKeeper-based registry, overrides the ZK path namespace. Note that\n" + - "using this makes the path management (e.g. setting correct ACLs) your responsibility."), - // Note: do not rename to ..service.acl; Hadoop generates .hosts setting name from this, - // resulting in a collision with existing hive.llap.daemon.service.hosts and bizarre errors. - // These are read by Hadoop IPC, so you should check the usage and naming conventions (e.g. - // ".blocked" is a string hardcoded by Hadoop, and defaults are enforced elsewhere in Hive) - // before making changes or copy-pasting these. - LLAP_SECURITY_ACL("hive.llap.daemon.acl", "*", "The ACL for LLAP daemon."), - LLAP_SECURITY_ACL_DENY("hive.llap.daemon.acl.blocked", "", "The deny ACL for LLAP daemon."), - LLAP_MANAGEMENT_ACL("hive.llap.management.acl", "*", "The ACL for LLAP daemon management."), - LLAP_MANAGEMENT_ACL_DENY("hive.llap.management.acl.blocked", "", - "The deny ACL for LLAP daemon management."), - LLAP_REMOTE_TOKEN_REQUIRES_SIGNING("hive.llap.remote.token.requires.signing", "true", - new StringSet("false", "except_llap_owner", "true"), - "Whether the token returned from LLAP management API should require fragment signing.\n" + - "True by default; can be disabled to allow CLI to get tokens from LLAP in a secure\n" + - "cluster by setting it to true or 'except_llap_owner' (the latter returns such tokens\n" + - "to everyone except the user LLAP cluster is authenticating under)."), - - // Hadoop DelegationTokenManager default is 1 week. - LLAP_DELEGATION_TOKEN_LIFETIME("hive.llap.daemon.delegation.token.lifetime", "14d", - new TimeValidator(TimeUnit.SECONDS), - "LLAP delegation token lifetime, in seconds if specified without a unit."), - LLAP_MANAGEMENT_RPC_PORT("hive.llap.management.rpc.port", 15004, - "RPC port for LLAP daemon management service."), - LLAP_WEB_AUTO_AUTH("hive.llap.auto.auth", false, - "Whether or not to set Hadoop configs to enable auth in LLAP web app."), - - LLAP_DAEMON_RPC_NUM_HANDLERS("hive.llap.daemon.rpc.num.handlers", 5, - "Number of RPC handlers for LLAP daemon.", "llap.daemon.rpc.num.handlers"), - LLAP_DAEMON_WORK_DIRS("hive.llap.daemon.work.dirs", "", - "Working directories for the daemon. This should not be set if running as a YARN\n" + - "application via Slider. It must be set when not running via Slider on YARN. If the value\n" + - "is set when running as a Slider YARN application, the specified value will be used.", - "llap.daemon.work.dirs"), - LLAP_DAEMON_YARN_SHUFFLE_PORT("hive.llap.daemon.yarn.shuffle.port", 15551, - "YARN shuffle port for LLAP-daemon-hosted shuffle.", "llap.daemon.yarn.shuffle.port"), - LLAP_DAEMON_YARN_CONTAINER_MB("hive.llap.daemon.yarn.container.mb", -1, - "llap server yarn container size in MB. Used in LlapServiceDriver and package.py", "llap.daemon.yarn.container.mb"), - LLAP_DAEMON_QUEUE_NAME("hive.llap.daemon.queue.name", null, - "Queue name within which the llap slider application will run." + - " Used in LlapServiceDriver and package.py"), - // TODO Move the following 2 properties out of Configuration to a constant. - LLAP_DAEMON_CONTAINER_ID("hive.llap.daemon.container.id", null, - "ContainerId of a running LlapDaemon. Used to publish to the registry"), - LLAP_DAEMON_NM_ADDRESS("hive.llap.daemon.nm.address", null, - "NM Address host:rpcPort for the NodeManager on which the instance of the daemon is running.\n" + - "Published to the llap registry. Should never be set by users"), - LLAP_DAEMON_SHUFFLE_DIR_WATCHER_ENABLED("hive.llap.daemon.shuffle.dir.watcher.enabled", false, - "TODO doc", "llap.daemon.shuffle.dir-watcher.enabled"), - LLAP_DAEMON_AM_LIVENESS_HEARTBEAT_INTERVAL_MS( - "hive.llap.daemon.am.liveness.heartbeat.interval.ms", "10000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Tez AM-LLAP heartbeat interval (milliseconds). This needs to be below the task timeout\n" + - "interval, but otherwise as high as possible to avoid unnecessary traffic.", - "llap.daemon.am.liveness.heartbeat.interval-ms"), - LLAP_DAEMON_AM_LIVENESS_CONNECTION_TIMEOUT_MS( - "hive.llap.am.liveness.connection.timeout.ms", "10000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Amount of time to wait on connection failures to the AM from an LLAP daemon before\n" + - "considering the AM to be dead.", "llap.am.liveness.connection.timeout-millis"), - LLAP_DAEMON_AM_USE_FQDN("hive.llap.am.use.fqdn", false, - "Whether to use FQDN of the AM machine when submitting work to LLAP."), - // Not used yet - since the Writable RPC engine does not support this policy. - LLAP_DAEMON_AM_LIVENESS_CONNECTION_SLEEP_BETWEEN_RETRIES_MS( - "hive.llap.am.liveness.connection.sleep.between.retries.ms", "2000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Sleep duration while waiting to retry connection failures to the AM from the daemon for\n" + - "the general keep-alive thread (milliseconds).", - "llap.am.liveness.connection.sleep-between-retries-millis"), - LLAP_DAEMON_TASK_SCHEDULER_TIMEOUT_SECONDS( - "hive.llap.task.scheduler.timeout.seconds", "60s", - new TimeValidator(TimeUnit.SECONDS), - "Amount of time to wait before failing the query when there are no llap daemons running\n" + - "(alive) in the cluster.", "llap.daemon.scheduler.timeout.seconds"), - LLAP_DAEMON_NUM_EXECUTORS("hive.llap.daemon.num.executors", 4, - "Number of executors to use in LLAP daemon; essentially, the number of tasks that can be\n" + - "executed in parallel.", "llap.daemon.num.executors"), - LLAP_MAPJOIN_MEMORY_OVERSUBSCRIBE_FACTOR("hive.llap.mapjoin.memory.oversubscribe.factor", 0.2f, - "Fraction of memory from hive.auto.convert.join.noconditionaltask.size that can be over subscribed\n" + - "by queries running in LLAP mode. This factor has to be from 0.0 to 1.0. Default is 20% over subscription.\n"), - LLAP_MEMORY_OVERSUBSCRIPTION_MAX_EXECUTORS_PER_QUERY("hive.llap.memory.oversubscription.max.executors.per.query", 3, - "Used along with hive.llap.mapjoin.memory.oversubscribe.factor to limit the number of executors from\n" + - "which memory for mapjoin can be borrowed. Default 3 (from 3 other executors\n" + - "hive.llap.mapjoin.memory.oversubscribe.factor amount of memory can be borrowed based on which mapjoin\n" + - "conversion decision will be made). This is only an upper bound. Lower bound is determined by number of\n" + - "executors and configured max concurrency."), - LLAP_MAPJOIN_MEMORY_MONITOR_CHECK_INTERVAL("hive.llap.mapjoin.memory.monitor.check.interval", 100000L, - "Check memory usage of mapjoin hash tables after every interval of this many rows. If map join hash table\n" + - "memory usage exceeds (hive.auto.convert.join.noconditionaltask.size * hive.hash.table.inflation.factor)\n" + - "when running in LLAP, tasks will get killed and not retried. Set the value to 0 to disable this feature."), - LLAP_DAEMON_AM_REPORTER_MAX_THREADS("hive.llap.daemon.am-reporter.max.threads", 4, - "Maximum number of threads to be used for AM reporter. If this is lower than number of\n" + - "executors in llap daemon, it would be set to number of executors at runtime.", - "llap.daemon.am-reporter.max.threads"), - LLAP_DAEMON_RPC_PORT("hive.llap.daemon.rpc.port", 0, "The LLAP daemon RPC port.", - "llap.daemon.rpc.port. A value of 0 indicates a dynamic port"), - LLAP_DAEMON_MEMORY_PER_INSTANCE_MB("hive.llap.daemon.memory.per.instance.mb", 4096, - "The total amount of memory to use for the executors inside LLAP (in megabytes).", - "llap.daemon.memory.per.instance.mb"), - LLAP_DAEMON_XMX_HEADROOM("hive.llap.daemon.xmx.headroom", "5%", - "The total amount of heap memory set aside by LLAP and not used by the executors. Can\n" + - "be specified as size (e.g. '512Mb'), or percentage (e.g. '5%'). Note that the latter is\n" + - "derived from the total daemon XMX, which can be different from the total executor\n" + - "memory if the cache is on-heap; although that's not the default configuration."), - LLAP_DAEMON_VCPUS_PER_INSTANCE("hive.llap.daemon.vcpus.per.instance", 4, - "The total number of vcpus to use for the executors inside LLAP.", - "llap.daemon.vcpus.per.instance"), - LLAP_DAEMON_NUM_FILE_CLEANER_THREADS("hive.llap.daemon.num.file.cleaner.threads", 1, - "Number of file cleaner threads in LLAP.", "llap.daemon.num.file.cleaner.threads"), - LLAP_FILE_CLEANUP_DELAY_SECONDS("hive.llap.file.cleanup.delay.seconds", "300s", - new TimeValidator(TimeUnit.SECONDS), - "How long to delay before cleaning up query files in LLAP (in seconds, for debugging).", - "llap.file.cleanup.delay-seconds"), - LLAP_DAEMON_SERVICE_HOSTS("hive.llap.daemon.service.hosts", null, - "Explicitly specified hosts to use for LLAP scheduling. Useful for testing. By default,\n" + - "YARN registry is used.", "llap.daemon.service.hosts"), - LLAP_DAEMON_SERVICE_REFRESH_INTERVAL("hive.llap.daemon.service.refresh.interval.sec", "60s", - new TimeValidator(TimeUnit.SECONDS), - "LLAP YARN registry service list refresh delay, in seconds.", - "llap.daemon.service.refresh.interval"), - LLAP_DAEMON_COMMUNICATOR_NUM_THREADS("hive.llap.daemon.communicator.num.threads", 10, - "Number of threads to use in LLAP task communicator in Tez AM.", - "llap.daemon.communicator.num.threads"), - LLAP_DAEMON_DOWNLOAD_PERMANENT_FNS("hive.llap.daemon.download.permanent.fns", false, - "Whether LLAP daemon should localize the resources for permanent UDFs."), - LLAP_TASK_SCHEDULER_NODE_REENABLE_MIN_TIMEOUT_MS( - "hive.llap.task.scheduler.node.reenable.min.timeout.ms", "200ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Minimum time after which a previously disabled node will be re-enabled for scheduling,\n" + - "in milliseconds. This may be modified by an exponential back-off if failures persist.", - "llap.task.scheduler.node.re-enable.min.timeout.ms"), - LLAP_TASK_SCHEDULER_NODE_REENABLE_MAX_TIMEOUT_MS( - "hive.llap.task.scheduler.node.reenable.max.timeout.ms", "10000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Maximum time after which a previously disabled node will be re-enabled for scheduling,\n" + - "in milliseconds. This may be modified by an exponential back-off if failures persist.", - "llap.task.scheduler.node.re-enable.max.timeout.ms"), - LLAP_TASK_SCHEDULER_NODE_DISABLE_BACK_OFF_FACTOR( - "hive.llap.task.scheduler.node.disable.backoff.factor", 1.5f, - "Backoff factor on successive blacklists of a node due to some failures. Blacklist times\n" + - "start at the min timeout and go up to the max timeout based on this backoff factor.", - "llap.task.scheduler.node.disable.backoff.factor"), - LLAP_TASK_SCHEDULER_NUM_SCHEDULABLE_TASKS_PER_NODE( - "hive.llap.task.scheduler.num.schedulable.tasks.per.node", 0, - "The number of tasks the AM TaskScheduler will try allocating per node. 0 indicates that\n" + - "this should be picked up from the Registry. -1 indicates unlimited capacity; positive\n" + - "values indicate a specific bound.", "llap.task.scheduler.num.schedulable.tasks.per.node"), - LLAP_TASK_SCHEDULER_LOCALITY_DELAY( - "hive.llap.task.scheduler.locality.delay", "0ms", - new TimeValidator(TimeUnit.MILLISECONDS, -1l, true, Long.MAX_VALUE, true), - "Amount of time to wait before allocating a request which contains location information," + - " to a location other than the ones requested. Set to -1 for an infinite delay, 0" + - "for no delay." - ), - LLAP_DAEMON_TASK_PREEMPTION_METRICS_INTERVALS( - "hive.llap.daemon.task.preemption.metrics.intervals", "30,60,300", - "Comma-delimited set of integers denoting the desired rollover intervals (in seconds)\n" + - " for percentile latency metrics. Used by LLAP daemon task scheduler metrics for\n" + - " time taken to kill task (due to pre-emption) and useful time wasted by the task that\n" + - " is about to be preempted." - ), - LLAP_DAEMON_TASK_SCHEDULER_WAIT_QUEUE_SIZE("hive.llap.daemon.task.scheduler.wait.queue.size", - 10, "LLAP scheduler maximum queue size.", "llap.daemon.task.scheduler.wait.queue.size"), - LLAP_DAEMON_WAIT_QUEUE_COMPARATOR_CLASS_NAME( - "hive.llap.daemon.wait.queue.comparator.class.name", - "org.apache.hadoop.hive.llap.daemon.impl.comparator.ShortestJobFirstComparator", - "The priority comparator to use for LLAP scheduler prioroty queue. The built-in options\n" + - "are org.apache.hadoop.hive.llap.daemon.impl.comparator.ShortestJobFirstComparator and\n" + - ".....FirstInFirstOutComparator", "llap.daemon.wait.queue.comparator.class.name"), - LLAP_DAEMON_TASK_SCHEDULER_ENABLE_PREEMPTION( - "hive.llap.daemon.task.scheduler.enable.preemption", true, - "Whether non-finishable running tasks (e.g. a reducer waiting for inputs) should be\n" + - "preempted by finishable tasks inside LLAP scheduler.", - "llap.daemon.task.scheduler.enable.preemption"), - LLAP_TASK_COMMUNICATOR_CONNECTION_TIMEOUT_MS( - "hive.llap.task.communicator.connection.timeout.ms", "16000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Connection timeout (in milliseconds) before a failure to an LLAP daemon from Tez AM.", - "llap.task.communicator.connection.timeout-millis"), - LLAP_TASK_COMMUNICATOR_LISTENER_THREAD_COUNT( - "hive.llap.task.communicator.listener.thread-count", 30, - "The number of task communicator listener threads."), - LLAP_TASK_COMMUNICATOR_CONNECTION_SLEEP_BETWEEN_RETRIES_MS( - "hive.llap.task.communicator.connection.sleep.between.retries.ms", "2000ms", - new TimeValidator(TimeUnit.MILLISECONDS), - "Sleep duration (in milliseconds) to wait before retrying on error when obtaining a\n" + - "connection to LLAP daemon from Tez AM.", - "llap.task.communicator.connection.sleep-between-retries-millis"), - LLAP_DAEMON_WEB_PORT("hive.llap.daemon.web.port", 15002, "LLAP daemon web UI port.", - "llap.daemon.service.port"), - LLAP_DAEMON_WEB_SSL("hive.llap.daemon.web.ssl", false, - "Whether LLAP daemon web UI should use SSL.", "llap.daemon.service.ssl"), - LLAP_CLIENT_CONSISTENT_SPLITS("hive.llap.client.consistent.splits", false, - "Whether to setup split locations to match nodes on which llap daemons are running, " + - "instead of using the locations provided by the split itself. If there is no llap daemon " + - "running, fall back to locations provided by the split. This is effective only if " + - "hive.execution.mode is llap"), - LLAP_VALIDATE_ACLS("hive.llap.validate.acls", true, - "Whether LLAP should reject permissive ACLs in some cases (e.g. its own management\n" + - "protocol or ZK paths), similar to how ssh refuses a key with bad access permissions."), - LLAP_DAEMON_OUTPUT_SERVICE_PORT("hive.llap.daemon.output.service.port", 15003, - "LLAP daemon output service port"), - LLAP_DAEMON_OUTPUT_STREAM_TIMEOUT("hive.llap.daemon.output.stream.timeout", "120s", - new TimeValidator(TimeUnit.SECONDS), - "The timeout for the client to connect to LLAP output service and start the fragment\n" + - "output after sending the fragment. The fragment will fail if its output is not claimed."), - LLAP_DAEMON_OUTPUT_SERVICE_SEND_BUFFER_SIZE("hive.llap.daemon.output.service.send.buffer.size", - 128 * 1024, "Send buffer size to be used by LLAP daemon output service"), - LLAP_DAEMON_OUTPUT_SERVICE_MAX_PENDING_WRITES("hive.llap.daemon.output.service.max.pending.writes", - 8, "Maximum number of queued writes allowed per connection when sending data\n" + - " via the LLAP output service to external clients."), - LLAP_ENABLE_GRACE_JOIN_IN_LLAP("hive.llap.enable.grace.join.in.llap", false, - "Override if grace join should be allowed to run in llap."), - - LLAP_HS2_ENABLE_COORDINATOR("hive.llap.hs2.coordinator.enabled", true, - "Whether to create the LLAP coordinator; since execution engine and container vs llap\n" + - "settings are both coming from job configs, we don't know at start whether this should\n" + - "be created. Default true."), - LLAP_DAEMON_LOGGER("hive.llap.daemon.logger", Constants.LLAP_LOGGER_NAME_QUERY_ROUTING, - new StringSet(Constants.LLAP_LOGGER_NAME_QUERY_ROUTING, - Constants.LLAP_LOGGER_NAME_RFA, - Constants.LLAP_LOGGER_NAME_CONSOLE), - "logger used for llap-daemons."), - - SPARK_USE_OP_STATS("hive.spark.use.op.stats", true, - "Whether to use operator stats to determine reducer parallelism for Hive on Spark.\n" + - "If this is false, Hive will use source table stats to determine reducer\n" + - "parallelism for all first level reduce tasks, and the maximum reducer parallelism\n" + - "from all parents for all the rest (second level and onward) reducer tasks."), - SPARK_USE_TS_STATS_FOR_MAPJOIN("hive.spark.use.ts.stats.for.mapjoin", false, - "If this is set to true, mapjoin optimization in Hive/Spark will use statistics from\n" + - "TableScan operators at the root of operator tree, instead of parent ReduceSink\n" + - "operators of the Join operator."), - SPARK_CLIENT_FUTURE_TIMEOUT("hive.spark.client.future.timeout", - "60s", new TimeValidator(TimeUnit.SECONDS), - "Timeout for requests from Hive client to remote Spark driver."), - SPARK_JOB_MONITOR_TIMEOUT("hive.spark.job.monitor.timeout", - "60s", new TimeValidator(TimeUnit.SECONDS), - "Timeout for job monitor to get Spark job state."), - SPARK_RPC_CLIENT_CONNECT_TIMEOUT("hive.spark.client.connect.timeout", - "1000ms", new TimeValidator(TimeUnit.MILLISECONDS), - "Timeout for remote Spark driver in connecting back to Hive client."), - SPARK_RPC_CLIENT_HANDSHAKE_TIMEOUT("hive.spark.client.server.connect.timeout", - "90000ms", new TimeValidator(TimeUnit.MILLISECONDS), - "Timeout for handshake between Hive client and remote Spark driver. Checked by both processes."), - SPARK_RPC_SECRET_RANDOM_BITS("hive.spark.client.secret.bits", "256", - "Number of bits of randomness in the generated secret for communication between Hive client and remote Spark driver. " + - "Rounded down to the nearest multiple of 8."), - SPARK_RPC_MAX_THREADS("hive.spark.client.rpc.threads", 8, - "Maximum number of threads for remote Spark driver's RPC event loop."), - SPARK_RPC_MAX_MESSAGE_SIZE("hive.spark.client.rpc.max.size", 50 * 1024 * 1024, - "Maximum message size in bytes for communication between Hive client and remote Spark driver. Default is 50MB."), - SPARK_RPC_CHANNEL_LOG_LEVEL("hive.spark.client.channel.log.level", null, - "Channel logging level for remote Spark driver. One of {DEBUG, ERROR, INFO, TRACE, WARN}."), - SPARK_RPC_SASL_MECHANISM("hive.spark.client.rpc.sasl.mechanisms", "DIGEST-MD5", - "Name of the SASL mechanism to use for authentication."), - SPARK_RPC_SERVER_ADDRESS("hive.spark.client.rpc.server.address", "", - "The server address of HiverServer2 host to be used for communication between Hive client and remote Spark driver. " + - "Default is empty, which means the address will be determined in the same way as for hive.server2.thrift.bind.host." + - "This is only necessary if the host has mutiple network addresses and if a different network address other than " + - "hive.server2.thrift.bind.host is to be used."), - SPARK_RPC_SERVER_PORT("hive.spark.client.rpc.server.port", "", "A list of port ranges which can be used by RPC server " + - "with the format of 49152-49222,49228 and a random one is selected from the list. Default is empty, which randomly " + - "selects one port from all available ones."), - SPARK_DYNAMIC_PARTITION_PRUNING( - "hive.spark.dynamic.partition.pruning", false, - "When dynamic pruning is enabled, joins on partition keys will be processed by writing\n" + - "to a temporary HDFS file, and read later for removing unnecessary partitions."), - SPARK_DYNAMIC_PARTITION_PRUNING_MAX_DATA_SIZE( - "hive.spark.dynamic.partition.pruning.max.data.size", 100*1024*1024L, - "Maximum total data size in dynamic pruning."), - SPARK_USE_GROUPBY_SHUFFLE( - "hive.spark.use.groupby.shuffle", true, - "Spark groupByKey transformation has better performance but uses unbounded memory." + - "Turn this off when there is a memory issue."), - SPARK_JOB_MAX_TASKS("hive.spark.job.max.tasks", -1, "The maximum number of tasks a Spark job may have.\n" + - "If a Spark job contains more tasks than the maximum, it will be cancelled. A value of -1 means no limit."), - SPARK_STAGE_MAX_TASKS("hive.spark.stage.max.tasks", -1, "The maximum number of tasks a stage in a Spark job may have.\n" + - "If a Spark job stage contains more tasks than the maximum, the job will be cancelled. A value of -1 means no limit."), - NWAYJOINREORDER("hive.reorder.nway.joins", true, - "Runs reordering of tables within single n-way join (i.e.: picks streamtable)"), - HIVE_MERGE_NWAY_JOINS("hive.merge.nway.joins", true, - "Merge adjacent joins into a single n-way join"), - HIVE_LOG_N_RECORDS("hive.log.every.n.records", 0L, new RangeValidator(0L, null), - "If value is greater than 0 logs in fixed intervals of size n rather than exponentially."), - HIVE_MSCK_PATH_VALIDATION("hive.msck.path.validation", "throw", - new StringSet("throw", "skip", "ignore"), "The approach msck should take with HDFS " + - "directories that are partition-like but contain unsupported characters. 'throw' (an " + - "exception) is the default; 'skip' will skip the invalid directories and still repair the" + - " others; 'ignore' will skip the validation (legacy behavior, causes bugs in many cases)"), - HIVE_MSCK_REPAIR_BATCH_SIZE( - "hive.msck.repair.batch.size", 0, - "Batch size for the msck repair command. If the value is greater than zero,\n " - + "it will execute batch wise with the configured batch size. In case of errors while\n" - + "adding unknown partitions the batch size is automatically reduced by half in the subsequent\n" - + "retry attempt. The default value is zero which means it will execute directly (not batch wise)"), - HIVE_MSCK_REPAIR_BATCH_MAX_RETRIES("hive.msck.repair.batch.max.retries", 0, - "Maximum number of retries for the msck repair command when adding unknown partitions.\n " - + "If the value is greater than zero it will retry adding unknown partitions until the maximum\n" - + "number of attempts is reached or batch size is reduced to 0, whichever is earlier.\n" - + "In each retry attempt it will reduce the batch size by a factor of 2 until it reaches zero.\n" - + "If the value is set to zero it will retry until the batch size becomes zero as described above."), - HIVE_SERVER2_LLAP_CONCURRENT_QUERIES("hive.server2.llap.concurrent.queries", -1, - "The number of queries allowed in parallel via llap. Negative number implies 'infinite'."), - HIVE_TEZ_ENABLE_MEMORY_MANAGER("hive.tez.enable.memory.manager", true, - "Enable memory manager for tez"), - HIVE_HASH_TABLE_INFLATION_FACTOR("hive.hash.table.inflation.factor", (float) 2.0, - "Expected inflation factor between disk/in memory representation of hash tables"), - HIVE_LOG_TRACE_ID("hive.log.trace.id", "", - "Log tracing id that can be used by upstream clients for tracking respective logs. " + - "Truncated to " + LOG_PREFIX_LENGTH + " characters. Defaults to use auto-generated session id."), - - - HIVE_CONF_RESTRICTED_LIST("hive.conf.restricted.list", - "hive.security.authenticator.manager,hive.security.authorization.manager," + - "hive.security.metastore.authorization.manager,hive.security.metastore.authenticator.manager," + - "hive.users.in.admin.role,hive.server2.xsrf.filter.enabled,hive.security.authorization.enabled," + - "hive.distcp.privileged.doAs," + - "hive.server2.authentication.ldap.baseDN," + - "hive.server2.authentication.ldap.url," + - "hive.server2.authentication.ldap.Domain," + - "hive.server2.authentication.ldap.groupDNPattern," + - "hive.server2.authentication.ldap.groupFilter," + - "hive.server2.authentication.ldap.userDNPattern," + - "hive.server2.authentication.ldap.userFilter," + - "hive.server2.authentication.ldap.groupMembershipKey," + - "hive.server2.authentication.ldap.userMembershipKey," + - "hive.server2.authentication.ldap.groupClassKey," + - "hive.server2.authentication.ldap.customLDAPQuery," + - "hive.spark.client.connect.timeout," + - "hive.spark.client.server.connect.timeout," + - "hive.spark.client.channel.log.level," + - "hive.spark.client.rpc.max.size," + - "hive.spark.client.rpc.threads," + - "hive.spark.client.secret.bits," + - "hive.spark.client.rpc.server.address," + - "hive.spark.client.rpc.server.port", - "Comma separated list of configuration options which are immutable at runtime"), - HIVE_CONF_HIDDEN_LIST("hive.conf.hidden.list", - METASTOREPWD.varname + "," + HIVE_SERVER2_SSL_KEYSTORE_PASSWORD.varname - // Adding the S3 credentials from Hadoop config to be hidden - + ",fs.s3.awsAccessKeyId" - + ",fs.s3.awsSecretAccessKey" - + ",fs.s3n.awsAccessKeyId" - + ",fs.s3n.awsSecretAccessKey" - + ",fs.s3a.access.key" - + ",fs.s3a.secret.key" - + ",fs.s3a.proxy.password", - "Comma separated list of configuration options which should not be read by normal user like passwords"), - HIVE_CONF_INTERNAL_VARIABLE_LIST("hive.conf.internal.variable.list", - "hive.added.files.path,hive.added.jars.path,hive.added.archives.path", - "Comma separated list of variables which are used internally and should not be configurable."), - - HIVE_QUERY_TIMEOUT_SECONDS("hive.query.timeout.seconds", "0s", - new TimeValidator(TimeUnit.SECONDS), - "Timeout for Running Query in seconds. A nonpositive value means infinite. " + - "If the query timeout is also set by thrift API call, the smaller one will be taken."), - - - HIVE_EXEC_INPUT_LISTING_MAX_THREADS("hive.exec.input.listing.max.threads", 0, new SizeValidator(0L, true, 1024L, true), - "Maximum number of threads that Hive uses to list file information from file systems (recommended > 1 for blobstore)."), - - /* BLOBSTORE section */ - - HIVE_BLOBSTORE_SUPPORTED_SCHEMES("hive.blobstore.supported.schemes", "s3,s3a,s3n", - "Comma-separated list of supported blobstore schemes."), - - HIVE_BLOBSTORE_USE_BLOBSTORE_AS_SCRATCHDIR("hive.blobstore.use.blobstore.as.scratchdir", false, - "Enable the use of scratch directories directly on blob storage systems (it may cause performance penalties)."), - - HIVE_BLOBSTORE_OPTIMIZATIONS_ENABLED("hive.blobstore.optimizations.enabled", true, - "This parameter enables a number of optimizations when running on blobstores:\n" + - "(1) If hive.blobstore.use.blobstore.as.scratchdir is false, force the last Hive job to write to the blobstore.\n" + - "This is a performance optimization that forces the final FileSinkOperator to write to the blobstore.\n" + - "See HIVE-15121 for details."); - - public final String varname; - public final String altName; - private final String defaultExpr; - - public final String defaultStrVal; - public final int defaultIntVal; - public final long defaultLongVal; - public final float defaultFloatVal; - public final boolean defaultBoolVal; - - private final Class valClass; - private final VarType valType; - - private final Validator validator; - - private final String description; - - private final boolean excluded; - private final boolean caseSensitive; - - ConfVars(String varname, Object defaultVal, String description) { - this(varname, defaultVal, null, description, true, false, null); - } - - ConfVars(String varname, Object defaultVal, String description, String altName) { - this(varname, defaultVal, null, description, true, false, altName); - } - - ConfVars(String varname, Object defaultVal, Validator validator, String description, - String altName) { - this(varname, defaultVal, validator, description, true, false, altName); - } - - ConfVars(String varname, Object defaultVal, String description, boolean excluded) { - this(varname, defaultVal, null, description, true, excluded, null); - } - - ConfVars(String varname, String defaultVal, boolean caseSensitive, String description) { - this(varname, defaultVal, null, description, caseSensitive, false, null); - } - - ConfVars(String varname, Object defaultVal, Validator validator, String description) { - this(varname, defaultVal, validator, description, true, false, null); - } - - ConfVars(String varname, Object defaultVal, Validator validator, String description, - boolean caseSensitive, boolean excluded, String altName) { - this.varname = varname; - this.validator = validator; - this.description = description; - this.defaultExpr = defaultVal == null ? null : String.valueOf(defaultVal); - this.excluded = excluded; - this.caseSensitive = caseSensitive; - this.altName = altName; - if (defaultVal == null || defaultVal instanceof String) { - this.valClass = String.class; - this.valType = VarType.STRING; - this.defaultStrVal = SystemVariables.substitute((String)defaultVal); - this.defaultIntVal = -1; - this.defaultLongVal = -1; - this.defaultFloatVal = -1; - this.defaultBoolVal = false; - } else if (defaultVal instanceof Integer) { - this.valClass = Integer.class; - this.valType = VarType.INT; - this.defaultStrVal = null; - this.defaultIntVal = (Integer)defaultVal; - this.defaultLongVal = -1; - this.defaultFloatVal = -1; - this.defaultBoolVal = false; - } else if (defaultVal instanceof Long) { - this.valClass = Long.class; - this.valType = VarType.LONG; - this.defaultStrVal = null; - this.defaultIntVal = -1; - this.defaultLongVal = (Long)defaultVal; - this.defaultFloatVal = -1; - this.defaultBoolVal = false; - } else if (defaultVal instanceof Float) { - this.valClass = Float.class; - this.valType = VarType.FLOAT; - this.defaultStrVal = null; - this.defaultIntVal = -1; - this.defaultLongVal = -1; - this.defaultFloatVal = (Float)defaultVal; - this.defaultBoolVal = false; - } else if (defaultVal instanceof Boolean) { - this.valClass = Boolean.class; - this.valType = VarType.BOOLEAN; - this.defaultStrVal = null; - this.defaultIntVal = -1; - this.defaultLongVal = -1; - this.defaultFloatVal = -1; - this.defaultBoolVal = (Boolean)defaultVal; - } else { - throw new IllegalArgumentException("Not supported type value " + defaultVal.getClass() + - " for name " + varname); - } - } - - public boolean isType(String value) { - return valType.isType(value); - } - - public Validator getValidator() { - return validator; - } - - public String validate(String value) { - return validator == null ? null : validator.validate(value); - } - - public String validatorDescription() { - return validator == null ? null : validator.toDescription(); - } - - public String typeString() { - String type = valType.typeString(); - if (valType == VarType.STRING && validator != null) { - if (validator instanceof TimeValidator) { - type += "(TIME)"; - } - } - return type; - } - - public String getRawDescription() { - return description; - } - - public String getDescription() { - String validator = validatorDescription(); - if (validator != null) { - return validator + ".\n" + description; - } - return description; - } - - public boolean isExcluded() { - return excluded; - } - - public boolean isCaseSensitive() { - return caseSensitive; - } - - @Override - public String toString() { - return varname; - } - - private static String findHadoopBinary() { - String val = findHadoopHome(); - // if can't find hadoop home we can at least try /usr/bin/hadoop - val = (val == null ? File.separator + "usr" : val) - + File.separator + "bin" + File.separator + "hadoop"; - // Launch hadoop command file on windows. - return val; - } - - private static String findYarnBinary() { - String val = findHadoopHome(); - val = (val == null ? "yarn" : val + File.separator + "bin" + File.separator + "yarn"); - return val; - } - - private static String findHadoopHome() { - String val = System.getenv("HADOOP_HOME"); - // In Hadoop 1.X and Hadoop 2.X HADOOP_HOME is gone and replaced with HADOOP_PREFIX - if (val == null) { - val = System.getenv("HADOOP_PREFIX"); - } - return val; - } - - public String getDefaultValue() { - return valType.defaultValueString(this); - } - - public String getDefaultExpr() { - return defaultExpr; - } - - private Set getValidStringValues() { - if (validator == null || !(validator instanceof StringSet)) { - throw new RuntimeException(varname + " does not specify a list of valid values"); - } - return ((StringSet)validator).getExpected(); - } - - enum VarType { - STRING { - @Override - void checkType(String value) throws Exception { } - @Override - String defaultValueString(ConfVars confVar) { return confVar.defaultStrVal; } - }, - INT { - @Override - void checkType(String value) throws Exception { Integer.valueOf(value); } - }, - LONG { - @Override - void checkType(String value) throws Exception { Long.valueOf(value); } - }, - FLOAT { - @Override - void checkType(String value) throws Exception { Float.valueOf(value); } - }, - BOOLEAN { - @Override - void checkType(String value) throws Exception { Boolean.valueOf(value); } - }; - - boolean isType(String value) { - try { checkType(value); } catch (Exception e) { return false; } - return true; - } - String typeString() { return name().toUpperCase();} - String defaultValueString(ConfVars confVar) { return confVar.defaultExpr; } - abstract void checkType(String value) throws Exception; - } - } - - /** - * Writes the default ConfVars out to a byte array and returns an input - * stream wrapping that byte array. - * - * We need this in order to initialize the ConfVar properties - * in the underling Configuration object using the addResource(InputStream) - * method. - * - * It is important to use a LoopingByteArrayInputStream because it turns out - * addResource(InputStream) is broken since Configuration tries to read the - * entire contents of the same InputStream repeatedly without resetting it. - * LoopingByteArrayInputStream has special logic to handle this. - */ - private static synchronized InputStream getConfVarInputStream() { - if (confVarByteArray == null) { - try { - // Create a Hadoop configuration without inheriting default settings. - Configuration conf = new Configuration(false); - - applyDefaultNonNullConfVars(conf); - - ByteArrayOutputStream confVarBaos = new ByteArrayOutputStream(); - conf.writeXml(confVarBaos); - confVarByteArray = confVarBaos.toByteArray(); - } catch (Exception e) { - // We're pretty screwed if we can't load the default conf vars - throw new RuntimeException("Failed to initialize default Hive configuration variables!", e); - } - } - return new LoopingByteArrayInputStream(confVarByteArray); - } - - public void verifyAndSet(String name, String value) throws IllegalArgumentException { - if (modWhiteListPattern != null) { - Matcher wlMatcher = modWhiteListPattern.matcher(name); - if (!wlMatcher.matches()) { - throw new IllegalArgumentException("Cannot modify " + name + " at runtime. " - + "It is not in list of params that are allowed to be modified at runtime"); - } - } - if (restrictList.contains(name)) { - throw new IllegalArgumentException("Cannot modify " + name + " at runtime. It is in the list" - + " of parameters that can't be modified at runtime"); - } - String oldValue = name != null ? get(name) : null; - if (name == null || value == null || !value.equals(oldValue)) { - // When either name or value is null, the set method below will fail, - // and throw IllegalArgumentException - set(name, value); - if (isSparkRelatedConfig(name)) { - isSparkConfigUpdated = true; - } - } - } - - public boolean isHiddenConfig(String name) { - return hiddenSet.contains(name); - } - - /** - * check whether spark related property is updated, which includes spark configurations, - * RSC configurations and yarn configuration in Spark on YARN mode. - * @param name - * @return - */ - private boolean isSparkRelatedConfig(String name) { - boolean result = false; - if (name.startsWith("spark")) { // Spark property. - // for now we don't support changing spark app name on the fly - result = !name.equals("spark.app.name"); - } else if (name.startsWith("yarn")) { // YARN property in Spark on YARN mode. - String sparkMaster = get("spark.master"); - if (sparkMaster != null && sparkMaster.startsWith("yarn")) { - result = true; - } - } else if (name.startsWith("hive.spark")) { // Remote Spark Context property. - result = true; - } else if (name.equals("mapreduce.job.queuename")) { - // a special property starting with mapreduce that we would also like to effect if it changes - result = true; - } - - return result; - } - - public static int getIntVar(Configuration conf, ConfVars var) { - assert (var.valClass == Integer.class) : var.varname; - if (var.altName != null) { - return conf.getInt(var.varname, conf.getInt(var.altName, var.defaultIntVal)); - } - return conf.getInt(var.varname, var.defaultIntVal); - } - - public static void setIntVar(Configuration conf, ConfVars var, int val) { - assert (var.valClass == Integer.class) : var.varname; - conf.setInt(var.varname, val); - } - - public int getIntVar(ConfVars var) { - return getIntVar(this, var); - } - - public void setIntVar(ConfVars var, int val) { - setIntVar(this, var, val); - } - - public static long getTimeVar(Configuration conf, ConfVars var, TimeUnit outUnit) { - return toTime(getVar(conf, var), getDefaultTimeUnit(var), outUnit); - } - - public static void setTimeVar(Configuration conf, ConfVars var, long time, TimeUnit timeunit) { - assert (var.valClass == String.class) : var.varname; - conf.set(var.varname, time + stringFor(timeunit)); - } - - public long getTimeVar(ConfVars var, TimeUnit outUnit) { - return getTimeVar(this, var, outUnit); - } - - public void setTimeVar(ConfVars var, long time, TimeUnit outUnit) { - setTimeVar(this, var, time, outUnit); - } - - public static long getSizeVar(Configuration conf, ConfVars var) { - return toSizeBytes(getVar(conf, var)); - } - - public long getSizeVar(ConfVars var) { - return getSizeVar(this, var); - } - - private static TimeUnit getDefaultTimeUnit(ConfVars var) { - TimeUnit inputUnit = null; - if (var.validator instanceof TimeValidator) { - inputUnit = ((TimeValidator)var.validator).getTimeUnit(); - } - return inputUnit; - } - - public static long toTime(String value, TimeUnit inputUnit, TimeUnit outUnit) { - String[] parsed = parseNumberFollowedByUnit(value.trim()); - return outUnit.convert(Long.parseLong(parsed[0].trim()), unitFor(parsed[1].trim(), inputUnit)); - } - - public static long toSizeBytes(String value) { - String[] parsed = parseNumberFollowedByUnit(value.trim()); - return Long.parseLong(parsed[0].trim()) * multiplierFor(parsed[1].trim()); - } - - private static String[] parseNumberFollowedByUnit(String value) { - char[] chars = value.toCharArray(); - int i = 0; - for (; i < chars.length && (chars[i] == '-' || Character.isDigit(chars[i])); i++) { - } - return new String[] {value.substring(0, i), value.substring(i)}; - } - - public static TimeUnit unitFor(String unit, TimeUnit defaultUnit) { - unit = unit.trim().toLowerCase(); - if (unit.isEmpty() || unit.equals("l")) { - if (defaultUnit == null) { - throw new IllegalArgumentException("Time unit is not specified"); - } - return defaultUnit; - } else if (unit.equals("d") || unit.startsWith("day")) { - return TimeUnit.DAYS; - } else if (unit.equals("h") || unit.startsWith("hour")) { - return TimeUnit.HOURS; - } else if (unit.equals("m") || unit.startsWith("min")) { - return TimeUnit.MINUTES; - } else if (unit.equals("s") || unit.startsWith("sec")) { - return TimeUnit.SECONDS; - } else if (unit.equals("ms") || unit.startsWith("msec")) { - return TimeUnit.MILLISECONDS; - } else if (unit.equals("us") || unit.startsWith("usec")) { - return TimeUnit.MICROSECONDS; - } else if (unit.equals("ns") || unit.startsWith("nsec")) { - return TimeUnit.NANOSECONDS; - } - throw new IllegalArgumentException("Invalid time unit " + unit); - } - - - public static long multiplierFor(String unit) { - unit = unit.trim().toLowerCase(); - if (unit.isEmpty() || unit.equals("b") || unit.equals("bytes")) { - return 1; - } else if (unit.equals("kb")) { - return 1024; - } else if (unit.equals("mb")) { - return 1024*1024; - } else if (unit.equals("gb")) { - return 1024*1024*1024; - } else if (unit.equals("tb")) { - return 1024*1024*1024*1024; - } else if (unit.equals("pb")) { - return 1024*1024*1024*1024*1024; - } - throw new IllegalArgumentException("Invalid size unit " + unit); - } - - public static String stringFor(TimeUnit timeunit) { - switch (timeunit) { - case DAYS: return "day"; - case HOURS: return "hour"; - case MINUTES: return "min"; - case SECONDS: return "sec"; - case MILLISECONDS: return "msec"; - case MICROSECONDS: return "usec"; - case NANOSECONDS: return "nsec"; - } - throw new IllegalArgumentException("Invalid timeunit " + timeunit); - } - - public static long getLongVar(Configuration conf, ConfVars var) { - assert (var.valClass == Long.class) : var.varname; - if (var.altName != null) { - return conf.getLong(var.varname, conf.getLong(var.altName, var.defaultLongVal)); - } - return conf.getLong(var.varname, var.defaultLongVal); - } - - public static long getLongVar(Configuration conf, ConfVars var, long defaultVal) { - if (var.altName != null) { - return conf.getLong(var.varname, conf.getLong(var.altName, defaultVal)); - } - return conf.getLong(var.varname, defaultVal); - } - - public static void setLongVar(Configuration conf, ConfVars var, long val) { - assert (var.valClass == Long.class) : var.varname; - conf.setLong(var.varname, val); - } - - public long getLongVar(ConfVars var) { - return getLongVar(this, var); - } - - public void setLongVar(ConfVars var, long val) { - setLongVar(this, var, val); - } - - public static float getFloatVar(Configuration conf, ConfVars var) { - assert (var.valClass == Float.class) : var.varname; - if (var.altName != null) { - return conf.getFloat(var.varname, conf.getFloat(var.altName, var.defaultFloatVal)); - } - return conf.getFloat(var.varname, var.defaultFloatVal); - } - - public static float getFloatVar(Configuration conf, ConfVars var, float defaultVal) { - if (var.altName != null) { - return conf.getFloat(var.varname, conf.getFloat(var.altName, defaultVal)); - } - return conf.getFloat(var.varname, defaultVal); - } - - public static void setFloatVar(Configuration conf, ConfVars var, float val) { - assert (var.valClass == Float.class) : var.varname; - conf.setFloat(var.varname, val); - } - - public float getFloatVar(ConfVars var) { - return getFloatVar(this, var); - } - - public void setFloatVar(ConfVars var, float val) { - setFloatVar(this, var, val); - } - - public static boolean getBoolVar(Configuration conf, ConfVars var) { - assert (var.valClass == Boolean.class) : var.varname; - if (var.altName != null) { - return conf.getBoolean(var.varname, conf.getBoolean(var.altName, var.defaultBoolVal)); - } - return conf.getBoolean(var.varname, var.defaultBoolVal); - } - - public static boolean getBoolVar(Configuration conf, ConfVars var, boolean defaultVal) { - if (var.altName != null) { - return conf.getBoolean(var.varname, conf.getBoolean(var.altName, defaultVal)); - } - return conf.getBoolean(var.varname, defaultVal); - } - - public static void setBoolVar(Configuration conf, ConfVars var, boolean val) { - assert (var.valClass == Boolean.class) : var.varname; - conf.setBoolean(var.varname, val); - } - - public boolean getBoolVar(ConfVars var) { - return getBoolVar(this, var); - } - - public void setBoolVar(ConfVars var, boolean val) { - setBoolVar(this, var, val); - } - - public static String getVar(Configuration conf, ConfVars var) { - assert (var.valClass == String.class) : var.varname; - return var.altName != null ? conf.get(var.varname, conf.get(var.altName, var.defaultStrVal)) - : conf.get(var.varname, var.defaultStrVal); - } - - public static String getVarWithoutType(Configuration conf, ConfVars var) { - return var.altName != null ? conf.get(var.varname, conf.get(var.altName, var.defaultExpr)) - : conf.get(var.varname, var.defaultExpr); - } - - public static String getTrimmedVar(Configuration conf, ConfVars var) { - assert (var.valClass == String.class) : var.varname; - if (var.altName != null) { - return conf.getTrimmed(var.varname, conf.getTrimmed(var.altName, var.defaultStrVal)); - } - return conf.getTrimmed(var.varname, var.defaultStrVal); - } - - public static String[] getTrimmedStringsVar(Configuration conf, ConfVars var) { - assert (var.valClass == String.class) : var.varname; - String[] result = conf.getTrimmedStrings(var.varname, (String[])null); - if (result != null) return result; - if (var.altName != null) { - result = conf.getTrimmedStrings(var.altName, (String[])null); - if (result != null) return result; - } - return org.apache.hadoop.util.StringUtils.getTrimmedStrings(var.defaultStrVal); - } - - public static String getVar(Configuration conf, ConfVars var, String defaultVal) { - String ret = var.altName != null ? conf.get(var.varname, conf.get(var.altName, defaultVal)) - : conf.get(var.varname, defaultVal); - return ret; - } - - public static String getVar(Configuration conf, ConfVars var, EncoderDecoder encoderDecoder) { - return encoderDecoder.decode(getVar(conf, var)); - } - - public String getLogIdVar(String defaultValue) { - String retval = getVar(ConfVars.HIVE_LOG_TRACE_ID); - if (retval.equals("")) { - l4j.info("Using the default value passed in for log id: " + defaultValue); - retval = defaultValue; - } - if (retval.length() > LOG_PREFIX_LENGTH) { - l4j.warn("The original log id prefix is " + retval + " has been truncated to " - + retval.substring(0, LOG_PREFIX_LENGTH - 1)); - retval = retval.substring(0, LOG_PREFIX_LENGTH - 1); - } - return retval; - } - - public static void setVar(Configuration conf, ConfVars var, String val) { - assert (var.valClass == String.class) : var.varname; - conf.set(var.varname, val); - } - public static void setVar(Configuration conf, ConfVars var, String val, - EncoderDecoder encoderDecoder) { - setVar(conf, var, encoderDecoder.encode(val)); - } - - public static ConfVars getConfVars(String name) { - return vars.get(name); - } - - public static ConfVars getMetaConf(String name) { - return metaConfs.get(name); - } - - public String getVar(ConfVars var) { - return getVar(this, var); - } - - public void setVar(ConfVars var, String val) { - setVar(this, var, val); - } - - public String getQueryString() { - return getQueryString(this); - } - - public static String getQueryString(Configuration conf) { - return getVar(conf, ConfVars.HIVEQUERYSTRING, EncoderDecoderFactory.URL_ENCODER_DECODER); - } - - public void setQueryString(String query) { - setQueryString(this, query); - } - - public static void setQueryString(Configuration conf, String query) { - setVar(conf, ConfVars.HIVEQUERYSTRING, query, EncoderDecoderFactory.URL_ENCODER_DECODER); - } - public void logVars(PrintStream ps) { - for (ConfVars one : ConfVars.values()) { - ps.println(one.varname + "=" + ((get(one.varname) != null) ? get(one.varname) : "")); - } - } - - public HiveConf() { - super(); - initialize(this.getClass()); - } - - public HiveConf(Class cls) { - super(); - initialize(cls); - } - - public HiveConf(Configuration other, Class cls) { - super(other); - initialize(cls); - } - - /** - * Copy constructor - */ - public HiveConf(HiveConf other) { - super(other); - hiveJar = other.hiveJar; - auxJars = other.auxJars; - isSparkConfigUpdated = other.isSparkConfigUpdated; - origProp = (Properties)other.origProp.clone(); - restrictList.addAll(other.restrictList); - hiddenSet.addAll(other.hiddenSet); - modWhiteListPattern = other.modWhiteListPattern; - } - - public Properties getAllProperties() { - return getProperties(this); - } - - public static Properties getProperties(Configuration conf) { - Iterator> iter = conf.iterator(); - Properties p = new Properties(); - while (iter.hasNext()) { - Map.Entry e = iter.next(); - p.setProperty(e.getKey(), e.getValue()); - } - return p; - } - - private void initialize(Class cls) { - hiveJar = (new JobConf(cls)).getJar(); - - // preserve the original configuration - origProp = getAllProperties(); - - // Overlay the ConfVars. Note that this ignores ConfVars with null values - addResource(getConfVarInputStream()); - - // Overlay hive-site.xml if it exists - if (hiveSiteURL != null) { - addResource(hiveSiteURL); - } - - // if embedded metastore is to be used as per config so far - // then this is considered like the metastore server case - String msUri = this.getVar(HiveConf.ConfVars.METASTOREURIS); - if(HiveConfUtil.isEmbeddedMetaStore(msUri)){ - setLoadMetastoreConfig(true); - } - - // load hivemetastore-site.xml if this is metastore and file exists - if (isLoadMetastoreConfig() && hivemetastoreSiteUrl != null) { - addResource(hivemetastoreSiteUrl); - } - - // load hiveserver2-site.xml if this is hiveserver2 and file exists - // metastore can be embedded within hiveserver2, in such cases - // the conf params in hiveserver2-site.xml will override whats defined - // in hivemetastore-site.xml - if (isLoadHiveServer2Config() && hiveServer2SiteUrl != null) { - addResource(hiveServer2SiteUrl); - } - - // Overlay the values of any system properties whose names appear in the list of ConfVars - applySystemProperties(); - - if ((this.get("hive.metastore.ds.retry.attempts") != null) || - this.get("hive.metastore.ds.retry.interval") != null) { - l4j.warn("DEPRECATED: hive.metastore.ds.retry.* no longer has any effect. " + - "Use hive.hmshandler.retry.* instead"); - } - - // if the running class was loaded directly (through eclipse) rather than through a - // jar then this would be needed - if (hiveJar == null) { - hiveJar = this.get(ConfVars.HIVEJAR.varname); - } - - if (auxJars == null) { - auxJars = StringUtils.join(FileUtils.getJarFilesByPath(this.get(ConfVars.HIVEAUXJARS.varname), this), ','); - } - - if (getBoolVar(ConfVars.METASTORE_SCHEMA_VERIFICATION)) { - setBoolVar(ConfVars.METASTORE_AUTO_CREATE_ALL, false); - } - - if (getBoolVar(HiveConf.ConfVars.HIVECONFVALIDATION)) { - List trimmed = new ArrayList(); - for (Map.Entry entry : this) { - String key = entry.getKey(); - if (key == null || !key.startsWith("hive.")) { - continue; - } - ConfVars var = HiveConf.getConfVars(key); - if (var == null) { - var = HiveConf.getConfVars(key.trim()); - if (var != null) { - trimmed.add(key); - } - } - if (var == null) { - l4j.warn("HiveConf of name " + key + " does not exist"); - } else if (!var.isType(entry.getValue())) { - l4j.warn("HiveConf " + var.varname + " expects " + var.typeString() + " type value"); - } - } - for (String key : trimmed) { - set(key.trim(), getRaw(key)); - unset(key); - } - } - - setupSQLStdAuthWhiteList(); - - // setup list of conf vars that are not allowed to change runtime - setupRestrictList(); - hiddenSet.clear(); - hiddenSet.addAll(HiveConfUtil.getHiddenSet(this)); - } - - /** - * If the config whitelist param for sql standard authorization is not set, set it up here. - */ - private void setupSQLStdAuthWhiteList() { - String whiteListParamsStr = getVar(ConfVars.HIVE_AUTHORIZATION_SQL_STD_AUTH_CONFIG_WHITELIST); - if (whiteListParamsStr == null || whiteListParamsStr.trim().isEmpty()) { - // set the default configs in whitelist - whiteListParamsStr = getSQLStdAuthDefaultWhiteListPattern(); - } - setVar(ConfVars.HIVE_AUTHORIZATION_SQL_STD_AUTH_CONFIG_WHITELIST, whiteListParamsStr); - } - - private static String getSQLStdAuthDefaultWhiteListPattern() { - // create the default white list from list of safe config params - // and regex list - String confVarPatternStr = Joiner.on("|").join(convertVarsToRegex(sqlStdAuthSafeVarNames)); - String regexPatternStr = Joiner.on("|").join(sqlStdAuthSafeVarNameRegexes); - return regexPatternStr + "|" + confVarPatternStr; - } - - /** - * @param paramList list of parameter strings - * @return list of parameter strings with "." replaced by "\." - */ - private static String[] convertVarsToRegex(String[] paramList) { - String[] regexes = new String[paramList.length]; - for(int i=0; i systemProperties = getConfSystemProperties(); - for (Entry systemProperty : systemProperties.entrySet()) { - this.set(systemProperty.getKey(), systemProperty.getValue()); - } - } - - /** - * This method returns a mapping from config variable name to its value for all config variables - * which have been set using System properties - */ - public static Map getConfSystemProperties() { - Map systemProperties = new HashMap(); - - for (ConfVars oneVar : ConfVars.values()) { - if (System.getProperty(oneVar.varname) != null) { - if (System.getProperty(oneVar.varname).length() > 0) { - systemProperties.put(oneVar.varname, System.getProperty(oneVar.varname)); - } - } - } - - return systemProperties; - } - - /** - * Overlays ConfVar properties with non-null values - */ - private static void applyDefaultNonNullConfVars(Configuration conf) { - for (ConfVars var : ConfVars.values()) { - String defaultValue = var.getDefaultValue(); - if (defaultValue == null) { - // Don't override ConfVars with null values - continue; - } - conf.set(var.varname, defaultValue); - } - } - - public Properties getChangedProperties() { - Properties ret = new Properties(); - Properties newProp = getAllProperties(); - - for (Object one : newProp.keySet()) { - String oneProp = (String) one; - String oldValue = origProp.getProperty(oneProp); - if (!StringUtils.equals(oldValue, newProp.getProperty(oneProp))) { - ret.setProperty(oneProp, newProp.getProperty(oneProp)); - } - } - return (ret); - } - - public String getJar() { - return hiveJar; - } - - /** - * @return the auxJars - */ - public String getAuxJars() { - return auxJars; - } - - /** - * Set the auxiliary jars. Used for unit tests only. - * @param auxJars the auxJars to set. - */ - public void setAuxJars(String auxJars) { - this.auxJars = auxJars; - setVar(this, ConfVars.HIVEAUXJARS, auxJars); - } - - public URL getHiveDefaultLocation() { - return hiveDefaultURL; - } - - public static void setHiveSiteLocation(URL location) { - hiveSiteURL = location; - } - - public static URL getHiveSiteLocation() { - return hiveSiteURL; - } - - public static URL getMetastoreSiteLocation() { - return hivemetastoreSiteUrl; - } - - public static URL getHiveServer2SiteLocation() { - return hiveServer2SiteUrl; - } - - /** - * @return the user name set in hadoop.job.ugi param or the current user from System - * @throws IOException - */ - public String getUser() throws IOException { - try { - UserGroupInformation ugi = Utils.getUGI(); - return ugi.getUserName(); - } catch (LoginException le) { - throw new IOException(le); - } - } - - public static String getColumnInternalName(int pos) { - return "_col" + pos; - } - - public static int getPositionFromInternalName(String internalName) { - Pattern internalPattern = Pattern.compile("_col([0-9]+)"); - Matcher m = internalPattern.matcher(internalName); - if (!m.matches()){ - return -1; - } else { - return Integer.parseInt(m.group(1)); - } - } - - /** - * Append comma separated list of config vars to the restrict List - * @param restrictListStr - */ - public void addToRestrictList(String restrictListStr) { - if (restrictListStr == null) { - return; - } - String oldList = this.getVar(ConfVars.HIVE_CONF_RESTRICTED_LIST); - if (oldList == null || oldList.isEmpty()) { - this.setVar(ConfVars.HIVE_CONF_RESTRICTED_LIST, restrictListStr); - } else { - this.setVar(ConfVars.HIVE_CONF_RESTRICTED_LIST, oldList + "," + restrictListStr); - } - setupRestrictList(); - } - - /** - * Set white list of parameters that are allowed to be modified - * - * @param paramNameRegex - */ - @LimitedPrivate(value = { "Currently only for use by HiveAuthorizer" }) - public void setModifiableWhiteListRegex(String paramNameRegex) { - if (paramNameRegex == null) { - return; - } - modWhiteListPattern = Pattern.compile(paramNameRegex); - } - - /** - * Add the HIVE_CONF_RESTRICTED_LIST values to restrictList, - * including HIVE_CONF_RESTRICTED_LIST itself - */ - private void setupRestrictList() { - String restrictListStr = this.getVar(ConfVars.HIVE_CONF_RESTRICTED_LIST); - restrictList.clear(); - if (restrictListStr != null) { - for (String entry : restrictListStr.split(",")) { - restrictList.add(entry.trim()); - } - } - - String internalVariableListStr = this.getVar(ConfVars.HIVE_CONF_INTERNAL_VARIABLE_LIST); - if (internalVariableListStr != null) { - for (String entry : internalVariableListStr.split(",")) { - restrictList.add(entry.trim()); - } - } - - restrictList.add(ConfVars.HIVE_IN_TEST.varname); - restrictList.add(ConfVars.HIVE_CONF_RESTRICTED_LIST.varname); - restrictList.add(ConfVars.HIVE_CONF_HIDDEN_LIST.varname); - restrictList.add(ConfVars.HIVE_CONF_INTERNAL_VARIABLE_LIST.varname); - } - - /** - * Strips hidden config entries from configuration - */ - public void stripHiddenConfigurations(Configuration conf) { - HiveConfUtil.stripConfigurations(conf, hiddenSet); - } - - /** - * @return true if HS2 webui is enabled - */ - public boolean isWebUiEnabled() { - return this.getIntVar(ConfVars.HIVE_SERVER2_WEBUI_PORT) != 0; - } - - /** - * @return true if HS2 webui query-info cache is enabled - */ - public boolean isWebUiQueryInfoCacheEnabled() { - return isWebUiEnabled() && this.getIntVar(ConfVars.HIVE_SERVER2_WEBUI_MAX_HISTORIC_QUERIES) > 0; - } - - - public static boolean isLoadMetastoreConfig() { - return loadMetastoreConfig; - } - - public static void setLoadMetastoreConfig(boolean loadMetastoreConfig) { - HiveConf.loadMetastoreConfig = loadMetastoreConfig; - } - - public static boolean isLoadHiveServer2Config() { - return loadHiveServer2Config; - } - - public static void setLoadHiveServer2Config(boolean loadHiveServer2Config) { - HiveConf.loadHiveServer2Config = loadHiveServer2Config; - } - - public static class StrictChecks { - - private static final String NO_LIMIT_MSG = makeMessage( - "Order by-s without limit", ConfVars.HIVE_STRICT_CHECKS_LARGE_QUERY); - private static final String NO_PARTITIONLESS_MSG = makeMessage( - "Queries against partitioned tables without a partition filter", - ConfVars.HIVE_STRICT_CHECKS_LARGE_QUERY); - private static final String NO_COMPARES_MSG = makeMessage( - "Unsafe compares between different types", ConfVars.HIVE_STRICT_CHECKS_TYPE_SAFETY); - private static final String NO_CARTESIAN_MSG = makeMessage( - "Cartesian products", ConfVars.HIVE_STRICT_CHECKS_CARTESIAN); - private static final String NO_BUCKETING_MSG = makeMessage( - "Load into bucketed tables", ConfVars.HIVE_STRICT_CHECKS_BUCKETING); - - private static String makeMessage(String what, ConfVars setting) { - return what + " are disabled for safety reasons. If you know what you are doing, please set" - + setting.varname + " to false and that " + ConfVars.HIVEMAPREDMODE.varname + " is not" - + " set to 'strict' to proceed. Note that if you may get errors or incorrect results if" - + " you make a mistake while using some of the unsafe features."; - } - - public static String checkNoLimit(Configuration conf) { - return isAllowed(conf, ConfVars.HIVE_STRICT_CHECKS_LARGE_QUERY) ? null : NO_LIMIT_MSG; - } - - public static String checkNoPartitionFilter(Configuration conf) { - return isAllowed(conf, ConfVars.HIVE_STRICT_CHECKS_LARGE_QUERY) - ? null : NO_PARTITIONLESS_MSG; - } - - public static String checkTypeSafety(Configuration conf) { - return isAllowed(conf, ConfVars.HIVE_STRICT_CHECKS_TYPE_SAFETY) ? null : NO_COMPARES_MSG; - } - - public static String checkCartesian(Configuration conf) { - return isAllowed(conf, ConfVars.HIVE_STRICT_CHECKS_CARTESIAN) ? null : NO_CARTESIAN_MSG; - } - - public static String checkBucketing(Configuration conf) { - return isAllowed(conf, ConfVars.HIVE_STRICT_CHECKS_BUCKETING) ? null : NO_BUCKETING_MSG; - } - - private static boolean isAllowed(Configuration conf, ConfVars setting) { - String mode = HiveConf.getVar(conf, ConfVars.HIVEMAPREDMODE, (String)null); - return (mode != null) ? !"strict".equals(mode) : !HiveConf.getBoolVar(conf, setting); - } - } - - public static String getNonMrEngines() { - String result = ""; - for (String s : ConfVars.HIVE_EXECUTION_ENGINE.getValidStringValues()) { - if ("mr".equals(s)) continue; - if (!result.isEmpty()) { - result += ", "; - } - result += s; - } - return result; - } - - public static String generateMrDeprecationWarning() { - return "Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. " - + "Consider using a different execution engine (i.e. " + HiveConf.getNonMrEngines() - + ") or using Hive 1.X releases."; - } - - private static final Object reverseMapLock = new Object(); - private static HashMap reverseMap = null; - - public static HashMap getOrCreateReverseMap() { - // This should be called rarely enough; for now it's ok to just lock every time. - synchronized (reverseMapLock) { - if (reverseMap != null) return reverseMap; - } - HashMap vars = new HashMap<>(); - for (ConfVars val : ConfVars.values()) { - vars.put(val.varname.toLowerCase(), val); - if (val.altName != null && !val.altName.isEmpty()) { - vars.put(val.altName.toLowerCase(), val); - } - } - synchronized (reverseMapLock) { - if (reverseMap != null) return reverseMap; - reverseMap = vars; - return reverseMap; - } - } -} diff --git ql/src/test/results/clientpositive/llap/vector_join30.q.out.orig ql/src/test/results/clientpositive/llap/vector_join30.q.out.orig deleted file mode 100644 index 6b544f3ec4..0000000000 --- ql/src/test/results/clientpositive/llap/vector_join30.q.out.orig +++ /dev/null @@ -1,2220 +0,0 @@ -PREHOOK: query: CREATE TABLE orcsrc STORED AS ORC AS SELECT * FROM src -PREHOOK: type: CREATETABLE_AS_SELECT -PREHOOK: Input: default@src -PREHOOK: Output: database:default -PREHOOK: Output: default@orcsrc -POSTHOOK: query: CREATE TABLE orcsrc STORED AS ORC AS SELECT * FROM src -POSTHOOK: type: CREATETABLE_AS_SELECT -POSTHOOK: Input: default@src -POSTHOOK: Output: database:default -POSTHOOK: Output: default@orcsrc -POSTHOOK: Lineage: orcsrc.key SIMPLE [(src)src.FieldSchema(name:key, type:string, comment:default), ] -POSTHOOK: Lineage: orcsrc.value SIMPLE [(src)src.FieldSchema(name:value, type:string, comment:default), ] -PREHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -POSTHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -PLAN VECTORIZATION: - enabled: true - enabledConditionsMet: [hive.vectorized.execution.enabled IS true] - -STAGE DEPENDENCIES: - Stage-1 is a root stage - Stage-0 depends on stages: Stage-1 - -STAGE PLANS: - Stage: Stage-1 - Tez -#### A masked pattern was here #### - Edges: - Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 5 (BROADCAST_EDGE) - Reducer 3 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) - Reducer 5 <- Map 4 (SIMPLE_EDGE) -#### A masked pattern was here #### - Vertices: - Map 1 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Filter Operator - Filter Vectorization: - className: VectorFilterOperator - native: true - predicateExpression: SelectColumnIsNotNull(col 0) -> boolean - predicate: key is not null (type: boolean) - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Select Operator - expressions: key (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Map 4 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Filter Operator - Filter Vectorization: - className: VectorFilterOperator - native: true - predicateExpression: SelectColumnIsNotNull(col 0) -> boolean - predicate: key is not null (type: boolean) - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Select Operator - expressions: key (type: string), value (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0, 1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reducer 2 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: true - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Map Join Operator - condition map: - Inner Join 0 to 1 - keys: - 0 _col0 (type: string) - 1 _col0 (type: string) - Map Join Vectorization: - className: VectorMapJoinInnerStringOperator - native: true - nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true - outputColumnNames: _col2, _col3 - input vertices: - 1 Reducer 5 - Statistics: Num rows: 550 Data size: 96800 Basic stats: COMPLETE Column stats: NONE - Group By Operator - aggregations: sum(hash(_col2,_col3)) - Group By Vectorization: - aggregators: VectorUDAFSumLong(VectorUDFAdaptor(hash(_col2,_col3)) -> 2:int) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: hash - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - sort order: - Reduce Sink Vectorization: - className: VectorReduceSinkEmptyKeyOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: bigint) - Reducer 3 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Group By Operator - aggregations: sum(VALUE._col0) - Group By Vectorization: - aggregators: VectorUDAFSumLong(col 0) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: mergepartial - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - File Sink Vectorization: - className: VectorFileSinkOperator - native: false - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.SequenceFileInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - Reducer 5 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1, 0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col1 (type: string) - - Stage: Stage-0 - Fetch Operator - limit: -1 - Processor Tree: - ListSink - -PREHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -PREHOOK: Input: default@orcsrc -#### A masked pattern was here #### -POSTHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -POSTHOOK: Input: default@orcsrc -#### A masked pattern was here #### -103231310608 -PREHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -POSTHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -PLAN VECTORIZATION: - enabled: true - enabledConditionsMet: [hive.vectorized.execution.enabled IS true] - -STAGE DEPENDENCIES: - Stage-1 is a root stage - Stage-0 depends on stages: Stage-1 - -STAGE PLANS: - Stage: Stage-1 - Tez -#### A masked pattern was here #### - Edges: - Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 5 (BROADCAST_EDGE) - Reducer 3 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) - Reducer 5 <- Map 4 (SIMPLE_EDGE) -#### A masked pattern was here #### - Vertices: - Map 1 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Map 4 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string), value (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0, 1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reducer 2 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: true - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Map Join Operator - condition map: - Left Outer Join 0 to 1 - keys: - 0 _col0 (type: string) - 1 _col0 (type: string) - Map Join Vectorization: - className: VectorMapJoinOuterStringOperator - native: true - nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true - outputColumnNames: _col2, _col3 - input vertices: - 1 Reducer 5 - Statistics: Num rows: 550 Data size: 96800 Basic stats: COMPLETE Column stats: NONE - Group By Operator - aggregations: sum(hash(_col2,_col3)) - Group By Vectorization: - aggregators: VectorUDAFSumLong(VectorUDFAdaptor(hash(_col2,_col3)) -> 3:int) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: hash - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - sort order: - Reduce Sink Vectorization: - className: VectorReduceSinkEmptyKeyOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: bigint) - Reducer 3 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Group By Operator - aggregations: sum(VALUE._col0) - Group By Vectorization: - aggregators: VectorUDAFSumLong(col 0) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: mergepartial - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - File Sink Vectorization: - className: VectorFileSinkOperator - native: false - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.SequenceFileInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - Reducer 5 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1, 0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col1 (type: string) - - Stage: Stage-0 - Fetch Operator - limit: -1 - Processor Tree: - ListSink - -PREHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -PREHOOK: Input: default@orcsrc -#### A masked pattern was here #### -POSTHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -POSTHOOK: Input: default@orcsrc -#### A masked pattern was here #### -103231310608 -PREHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -POSTHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -PLAN VECTORIZATION: - enabled: true - enabledConditionsMet: [hive.vectorized.execution.enabled IS true] - -STAGE DEPENDENCIES: - Stage-1 is a root stage - Stage-0 depends on stages: Stage-1 - -STAGE PLANS: - Stage: Stage-1 - Tez -#### A masked pattern was here #### - Edges: - Reducer 2 <- Map 1 (SIMPLE_EDGE) - Reducer 4 <- Map 3 (SIMPLE_EDGE), Reducer 2 (BROADCAST_EDGE) - Reducer 5 <- Reducer 4 (CUSTOM_SIMPLE_EDGE) -#### A masked pattern was here #### - Vertices: - Map 1 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Map 3 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string), value (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0, 1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reducer 2 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reducer 4 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: true - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1, 0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Map Join Operator - condition map: - Right Outer Join 0 to 1 - keys: - 0 _col0 (type: string) - 1 _col0 (type: string) - Map Join Vectorization: - className: VectorMapJoinOuterStringOperator - native: true - nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true - outputColumnNames: _col2, _col3 - input vertices: - 0 Reducer 2 - Statistics: Num rows: 550 Data size: 96800 Basic stats: COMPLETE Column stats: NONE - Group By Operator - aggregations: sum(hash(_col2,_col3)) - Group By Vectorization: - aggregators: VectorUDAFSumLong(VectorUDFAdaptor(hash(_col2,_col3)) -> 2:int) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: hash - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - sort order: - Reduce Sink Vectorization: - className: VectorReduceSinkEmptyKeyOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: bigint) - Reducer 5 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Group By Operator - aggregations: sum(VALUE._col0) - Group By Vectorization: - aggregators: VectorUDAFSumLong(col 0) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: mergepartial - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - File Sink Vectorization: - className: VectorFileSinkOperator - native: false - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.SequenceFileInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - - Stage: Stage-0 - Fetch Operator - limit: -1 - Processor Tree: - ListSink - -PREHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -PREHOOK: Input: default@orcsrc -#### A masked pattern was here #### -POSTHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -POSTHOOK: Input: default@orcsrc -#### A masked pattern was here #### -103231310608 -PREHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -POSTHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -PLAN VECTORIZATION: - enabled: true - enabledConditionsMet: [hive.vectorized.execution.enabled IS true] - -STAGE DEPENDENCIES: - Stage-1 is a root stage - Stage-0 depends on stages: Stage-1 - -STAGE PLANS: - Stage: Stage-1 - Tez -#### A masked pattern was here #### - Edges: - Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 5 (BROADCAST_EDGE), Reducer 6 (BROADCAST_EDGE) - Reducer 3 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) - Reducer 5 <- Map 4 (SIMPLE_EDGE) - Reducer 6 <- Map 4 (SIMPLE_EDGE) -#### A masked pattern was here #### - Vertices: - Map 1 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Filter Operator - Filter Vectorization: - className: VectorFilterOperator - native: true - predicateExpression: SelectColumnIsNotNull(col 0) -> boolean - predicate: key is not null (type: boolean) - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Select Operator - expressions: key (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Map 4 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Filter Operator - Filter Vectorization: - className: VectorFilterOperator - native: true - predicateExpression: SelectColumnIsNotNull(col 0) -> boolean - predicate: key is not null (type: boolean) - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Select Operator - expressions: key (type: string), value (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0, 1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reducer 2 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: true - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Map Join Operator - condition map: - Inner Join 0 to 1 - Inner Join 0 to 2 - keys: - 0 _col0 (type: string) - 1 _col0 (type: string) - 2 _col0 (type: string) - Map Join Vectorization: - className: VectorMapJoinOperator - native: false - nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true - nativeConditionsNotMet: One MapJoin Condition IS false - outputColumnNames: _col2, _col3 - input vertices: - 1 Reducer 5 - 2 Reducer 6 - Statistics: Num rows: 1100 Data size: 193600 Basic stats: COMPLETE Column stats: NONE - Group By Operator - aggregations: sum(hash(_col2,_col3)) - Group By Vectorization: - aggregators: VectorUDAFSumLong(VectorUDFAdaptor(hash(_col2,_col3)) -> 2:int) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: hash - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - sort order: - Reduce Sink Vectorization: - className: VectorReduceSinkEmptyKeyOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: bigint) - Reducer 3 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Group By Operator - aggregations: sum(VALUE._col0) - Group By Vectorization: - aggregators: VectorUDAFSumLong(col 0) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: mergepartial - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - File Sink Vectorization: - className: VectorFileSinkOperator - native: false - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.SequenceFileInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - Reducer 5 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1, 0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col1 (type: string) - Reducer 6 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - - Stage: Stage-0 - Fetch Operator - limit: -1 - Processor Tree: - ListSink - -PREHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -PREHOOK: Input: default@orcsrc -#### A masked pattern was here #### -POSTHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -POSTHOOK: Input: default@orcsrc -#### A masked pattern was here #### -348019368476 -PREHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -POSTHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -PLAN VECTORIZATION: - enabled: true - enabledConditionsMet: [hive.vectorized.execution.enabled IS true] - -STAGE DEPENDENCIES: - Stage-1 is a root stage - Stage-0 depends on stages: Stage-1 - -STAGE PLANS: - Stage: Stage-1 - Tez -#### A masked pattern was here #### - Edges: - Reducer 2 <- Map 1 (SIMPLE_EDGE) - Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) - Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE) - Reducer 6 <- Map 5 (SIMPLE_EDGE) - Reducer 7 <- Map 5 (SIMPLE_EDGE) -#### A masked pattern was here #### - Vertices: - Map 1 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Map 5 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string), value (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0, 1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reducer 2 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reducer 3 - Execution mode: llap - Reduce Operator Tree: - Merge Join Operator - condition map: - Inner Join 0 to 1 - Left Outer Join 0 to 2 - keys: - 0 _col0 (type: string) - 1 _col0 (type: string) - 2 _col0 (type: string) - outputColumnNames: _col2, _col3 - Statistics: Num rows: 1100 Data size: 193600 Basic stats: COMPLETE Column stats: NONE - Group By Operator - aggregations: sum(hash(_col2,_col3)) - Group By Vectorization: - vectorOutput: false - native: false - projectedOutputColumns: null - mode: hash - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - sort order: - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: bigint) - Reducer 4 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Group By Operator - aggregations: sum(VALUE._col0) - Group By Vectorization: - aggregators: VectorUDAFSumLong(col 0) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: mergepartial - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - File Sink Vectorization: - className: VectorFileSinkOperator - native: false - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.SequenceFileInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - Reducer 6 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1, 0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col1 (type: string) - Reducer 7 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - - Stage: Stage-0 - Fetch Operator - limit: -1 - Processor Tree: - ListSink - -PREHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -PREHOOK: Input: default@orcsrc -#### A masked pattern was here #### -POSTHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -POSTHOOK: Input: default@orcsrc -#### A masked pattern was here #### -348019368476 -PREHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -POSTHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -PLAN VECTORIZATION: - enabled: true - enabledConditionsMet: [hive.vectorized.execution.enabled IS true] - -STAGE DEPENDENCIES: - Stage-1 is a root stage - Stage-0 depends on stages: Stage-1 - -STAGE PLANS: - Stage: Stage-1 - Tez -#### A masked pattern was here #### - Edges: - Reducer 2 <- Map 1 (SIMPLE_EDGE) - Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) - Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE) - Reducer 6 <- Map 5 (SIMPLE_EDGE) - Reducer 7 <- Map 5 (SIMPLE_EDGE) -#### A masked pattern was here #### - Vertices: - Map 1 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Map 5 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string), value (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0, 1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reducer 2 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reducer 3 - Execution mode: llap - Reduce Operator Tree: - Merge Join Operator - condition map: - Left Outer Join 0 to 1 - Left Outer Join 0 to 2 - keys: - 0 _col0 (type: string) - 1 _col0 (type: string) - 2 _col0 (type: string) - outputColumnNames: _col2, _col3 - Statistics: Num rows: 1100 Data size: 193600 Basic stats: COMPLETE Column stats: NONE - Group By Operator - aggregations: sum(hash(_col2,_col3)) - Group By Vectorization: - vectorOutput: false - native: false - projectedOutputColumns: null - mode: hash - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - sort order: - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: bigint) - Reducer 4 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Group By Operator - aggregations: sum(VALUE._col0) - Group By Vectorization: - aggregators: VectorUDAFSumLong(col 0) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: mergepartial - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - File Sink Vectorization: - className: VectorFileSinkOperator - native: false - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.SequenceFileInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - Reducer 6 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1, 0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col1 (type: string) - Reducer 7 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - - Stage: Stage-0 - Fetch Operator - limit: -1 - Processor Tree: - ListSink - -PREHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -PREHOOK: Input: default@orcsrc -#### A masked pattern was here #### -POSTHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -POSTHOOK: Input: default@orcsrc -#### A masked pattern was here #### -348019368476 -PREHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -POSTHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -PLAN VECTORIZATION: - enabled: true - enabledConditionsMet: [hive.vectorized.execution.enabled IS true] - -STAGE DEPENDENCIES: - Stage-1 is a root stage - Stage-0 depends on stages: Stage-1 - -STAGE PLANS: - Stage: Stage-1 - Tez -#### A masked pattern was here #### - Edges: - Reducer 2 <- Map 1 (SIMPLE_EDGE) - Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) - Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE) - Reducer 6 <- Map 5 (SIMPLE_EDGE) - Reducer 7 <- Map 5 (SIMPLE_EDGE) -#### A masked pattern was here #### - Vertices: - Map 1 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Map 5 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string), value (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0, 1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Select Operator - expressions: key (type: string), value (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0, 1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reducer 2 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reducer 3 - Execution mode: llap - Reduce Operator Tree: - Merge Join Operator - condition map: - Left Outer Join 0 to 1 - Right Outer Join 0 to 2 - keys: - 0 _col0 (type: string) - 1 _col0 (type: string) - 2 _col0 (type: string) - outputColumnNames: _col2, _col3 - Statistics: Num rows: 1100 Data size: 193600 Basic stats: COMPLETE Column stats: NONE - Group By Operator - aggregations: sum(hash(_col2,_col3)) - Group By Vectorization: - vectorOutput: false - native: false - projectedOutputColumns: null - mode: hash - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - sort order: - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: bigint) - Reducer 4 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Group By Operator - aggregations: sum(VALUE._col0) - Group By Vectorization: - aggregators: VectorUDAFSumLong(col 0) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: mergepartial - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - File Sink Vectorization: - className: VectorFileSinkOperator - native: false - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.SequenceFileInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - Reducer 6 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1, 0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col1 (type: string) - Reducer 7 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - - Stage: Stage-0 - Fetch Operator - limit: -1 - Processor Tree: - ListSink - -PREHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -PREHOOK: Input: default@orcsrc -#### A masked pattern was here #### -POSTHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -LEFT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -POSTHOOK: Input: default@orcsrc -#### A masked pattern was here #### -348019368476 -PREHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -POSTHOOK: query: explain vectorization expression -FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -PLAN VECTORIZATION: - enabled: true - enabledConditionsMet: [hive.vectorized.execution.enabled IS true] - -STAGE DEPENDENCIES: - Stage-1 is a root stage - Stage-0 depends on stages: Stage-1 - -STAGE PLANS: - Stage: Stage-1 - Tez -#### A masked pattern was here #### - Edges: - Reducer 2 <- Map 1 (SIMPLE_EDGE) - Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) - Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE) - Reducer 6 <- Map 5 (SIMPLE_EDGE) - Reducer 7 <- Map 5 (SIMPLE_EDGE) -#### A masked pattern was here #### - Vertices: - Map 1 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Map 5 - Map Operator Tree: - TableScan - alias: orcsrc - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - TableScan Vectorization: - native: true - projectedOutputColumns: [0, 1] - Select Operator - expressions: key (type: string), value (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0, 1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Reduce Output Operator - key expressions: _col1 (type: string) - sort order: + - Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string) - Execution mode: vectorized, llap - LLAP IO: all inputs - Map Vectorization: - enabled: true - enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true - groupByVectorOutput: true - inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reducer 2 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reducer 3 - Execution mode: llap - Reduce Operator Tree: - Merge Join Operator - condition map: - Right Outer Join 0 to 1 - Right Outer Join 0 to 2 - keys: - 0 _col0 (type: string) - 1 _col0 (type: string) - 2 _col0 (type: string) - outputColumnNames: _col2, _col3 - Statistics: Num rows: 1100 Data size: 193600 Basic stats: COMPLETE Column stats: NONE - Group By Operator - aggregations: sum(hash(_col2,_col3)) - Group By Vectorization: - vectorOutput: false - native: false - projectedOutputColumns: null - mode: hash - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - sort order: - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: bigint) - Reducer 4 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Group By Operator - aggregations: sum(VALUE._col0) - Group By Vectorization: - aggregators: VectorUDAFSumLong(col 0) -> bigint - className: VectorGroupByOperator - vectorOutput: true - native: false - projectedOutputColumns: [0] - mode: mergepartial - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - File Sink Vectorization: - className: VectorFileSinkOperator - native: false - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.SequenceFileInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - Reducer 6 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string) - outputColumnNames: _col0, _col1 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1, 0] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - value expressions: _col1 (type: string) - Reducer 7 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - groupByVectorOutput: true - allNative: true - usesVectorUDFAdaptor: false - vectorized: true - Reduce Operator Tree: - Select Operator - expressions: VALUE._col0 (type: string) - outputColumnNames: _col0 - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [1] - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - Reduce Output Operator - key expressions: _col0 (type: string) - sort order: + - Map-reduce partition columns: _col0 (type: string) - Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - Statistics: Num rows: 500 Data size: 88000 Basic stats: COMPLETE Column stats: NONE - - Stage: Stage-0 - Fetch Operator - limit: -1 - Processor Tree: - ListSink - -PREHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -PREHOOK: type: QUERY -PREHOOK: Input: default@orcsrc -#### A masked pattern was here #### -POSTHOOK: query: FROM -(SELECT orcsrc.* FROM orcsrc sort by key) x -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Y -ON (x.key = Y.key) -RIGHT OUTER JOIN -(SELECT orcsrc.* FROM orcsrc sort by value) Z -ON (x.key = Z.key) -select sum(hash(Y.key,Y.value)) -POSTHOOK: type: QUERY -POSTHOOK: Input: default@orcsrc -#### A masked pattern was here #### -348019368476