Details
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Bug
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Status: Closed
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Major
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Resolution: Fixed
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1.3.0
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3 node ant cluster
Description
Steps :
Spark submit thrift server is started.
User starts spark shell using the command - bin/spark-shell --master yarn-client --executor-memory 10G --executor-cores 5 --driver-memory 5G --num-executors 3 --jars /srv/spark2.2Bigdata/install/spark/sparkJdbc/carbonlib/carbondata_2.11-1.3.0-SNAPSHOT-shade-hadoop2.7.2.jar
In spark shell User tries to start streaming with table streaming property altered from default(false) to true.
scala> import java.io.
import java.io.{File, PrintWriter}
scala> import java.net.ServerSocket
import java.net.ServerSocket
scala>
scala> import org.apache.spark.sql.
{CarbonEnv, SparkSession}import org.apache.spark.sql.{CarbonEnv, SparkSession}
scala> import org.apache.spark.sql.hive.CarbonRelation
import org.apache.spark.sql.hive.CarbonRelation
scala> import org.apache.spark.sql.streaming.
{ProcessingTime, StreamingQuery}import org.apache.spark.sql.streaming.{ProcessingTime, StreamingQuery}
scala>
scala> import org.apache.carbondata.core.constants.CarbonCommonConstants
import org.apache.carbondata.core.constants.CarbonCommonConstants
scala> import org.apache.carbondata.core.util.CarbonProperties
import org.apache.carbondata.core.util.CarbonProperties
scala> import org.apache.carbondata.core.util.path.
{CarbonStorePath, CarbonTablePath}import org.apache.carbondata.core.util.path.{CarbonStorePath, CarbonTablePath}
scala>
scala> CarbonProperties.getInstance().addProperty(CarbonCommonConstants.CARBON_TIMESTAMP_FORMAT, "yyyy/MM/dd")
res0: org.apache.carbondata.core.util.CarbonProperties = org.apache.carbondata.core.util.CarbonProperties@69ee0861
scala>
scala> import org.apache.spark.sql.CarbonSession._
import org.apache.spark.sql.CarbonSession._
scala>
scala> val carbonSession = SparkSession.
| builder(). |
| appName("StreamExample"). |
| getOrCreateCarbonSession("hdfs://hacluster/user/hive/warehouse/carbon.store") carbonSession: org.apache.spark.sql.SparkSession = org.apache.spark.sql.CarbonSession@6ce365b7 |
scala>
| carbonSession.sparkContext.setLogLevel("INFO") |
scala>
scala> def sql(sql: String) = carbonSession.sql(sql)
sql: (sql: String)org.apache.spark.sql.DataFrame
scala>
scala> def writeSocket(serverSocket: ServerSocket): Thread = {
| val thread = new Thread() { |
| override def run(): Unit = { |
| // wait for client to connection request and accept |
| val clientSocket = serverSocket.accept() |
| val socketWriter = new PrintWriter(clientSocket.getOutputStream()) |
| var index = 0 |
| for (_ <- 1 to 1000) { |
| // write 5 records per iteration |
| for (_ <- 0 to 100) { | index = index + 1 | socketWriter.println(index.toString + ",name_" + index | + ",city_" + index + "," + (index * 10000.00).toString + | ",school_" + index + ":school_" + index + index + "$" + index) | } |
| socketWriter.flush() |
| Thread.sleep(2000) |
| } |
| socketWriter.close() |
| System.out.println("Socket closed") |
| } |
| } |
| thread.start() |
| thread |
| } writeSocket: (serverSocket: java.net.ServerSocket)Thread |
scala>
| def startStreaming(spark: SparkSession, tablePath: CarbonTablePath, tableName: String, port: Int): Thread = { |
| val thread = new Thread() { |
| override def run(): Unit = { |
| var qry: StreamingQuery = null |
| try
{
| val readSocketDF = spark.readStream
| .format("socket")
| .option("host", "10.18.98.34")
| .option("port", port)
| .load()
|
| qry = readSocketDF.writeStream
| .format("carbondata")
| .trigger(ProcessingTime("5 seconds"))
| .option("checkpointLocation", tablePath.getStreamingCheckpointDir)
| .option("tablePath", tablePath.getPath).option("tableName", tableName)
| .start()
|
| qry.awaitTermination()
| }
catch { | case ex: Throwable => | ex.printStackTrace() | println("Done reading and writing streaming data") | }finally { | qry.stop() | } |
| } |
| } |
| thread.start() |
| thread |
| } startStreaming: (spark: org.apache.spark.sql.SparkSession, tablePath: org.apache.carbondata.core.util.path.CarbonTablePath, tableName: String, port: Int)Thread |
scala>
scala> val streamTableName = "all_datatypes_2048"
streamTableName: String = all_datatypes_2048
scala>
scala>
scala> sql(s"create table all_datatypes_2048 (imei string,deviceInformationId int,MAC string,deviceColor string,device_backColor string,modelId string,marketName string,AMSize string,ROMSize string,CUPAudit string,CPIClocked string,series string,productionDate timestamp,bomCode string,internalModels string, deliveryTime string, channelsId string, channelsName string , deliveryAreaId string, deliveryCountry string, deliveryProvince string, deliveryCity string,deliveryDistrict string, deliveryStreet string, oxSingleNumber string, ActiveCheckTime string, ActiveAreaId string, ActiveCountry string, ActiveProvince string, Activecity string, ActiveDistrict string, ActiveStreet string, ActiveOperatorId string, Active_releaseId string, Active_EMUIVersion string, Active_operaSysVersion string, Active_BacVerNumber string, Active_BacFlashVer string, Active_webUIVersion string, Active_webUITypeCarrVer string,Active_webTypeDataVerNumber string, Active_operatorsVersion string, Active_phonePADPartitionedVersions string, Latest_YEAR int, Latest_MONTH int, Latest_DAY Decimal(30,10), Latest_HOUR string, Latest_areaId string, Latest_country string, Latest_province string, Latest_city string, Latest_district string, Latest_street string, Latest_releaseId string, Latest_EMUIVersion string, Latest_operaSysVersion string, Latest_BacVerNumber string, Latest_BacFlashVer string, Latest_webUIVersion string, Latest_webUITypeCarrVer string, Latest_webTypeDataVerNumber string, Latest_operatorsVersion string, Latest_phonePADPartitionedVersions string, Latest_operatorId string, gamePointDescription string,gamePointId double,contractNumber BigInt) STORED BY 'org.apache.carbondata.format' TBLPROPERTIES('table_blocksize'='2048')")
res4: org.apache.spark.sql.DataFrame = []
scala>
scala> sql(s"LOAD DATA INPATH 'hdfs://hacluster/chetan/100_olap_C20.csv' INTO table all_datatypes_2048 options ('DELIMITER'=',', 'BAD_RECORDS_ACTION'='FORCE','FILEHEADER'='imei,deviceInformationId,MAC,deviceColor,device_backColor,modelId,marketName,AMSize,ROMSize,CUPAudit,CPIClocked,series,productionDate,bomCode,internalModels,deliveryTime,channelsId,channelsName,deliveryAreaId,deliveryCountry,deliveryProvince,deliveryCity,deliveryDistrict,deliveryStreet,oxSingleNumber,contractNumber,ActiveCheckTime,ActiveAreaId,ActiveCountry,ActiveProvince,Activecity,ActiveDistrict,ActiveStreet,ActiveOperatorId,Active_releaseId,Active_EMUIVersion,Active_operaSysVersion,Active_BacVerNumber,Active_BacFlashVer,Active_webUIVersion,Active_webUITypeCarrVer,Active_webTypeDataVerNumber,Active_operatorsVersion,Active_phonePADPartitionedVersions,Latest_YEAR,Latest_MONTH,Latest_DAY,Latest_HOUR,Latest_areaId,Latest_country,Latest_province,Latest_city,Latest_district,Latest_street,Latest_releaseId,Latest_EMUIVersion,Latest_operaSysVersion,Latest_BacVerNumber,Latest_BacFlashVer,Latest_webUIVersion,Latest_webUITypeCarrVer,Latest_webTypeDataVerNumber,Latest_operatorsVersion,Latest_phonePADPartitionedVersions,Latest_operatorId,gamePointId,gamePointDescription')")
res5: org.apache.spark.sql.DataFrame = []
scala>
scala> sql(s"ALTER TABLE all_datatypes_2048 SET TBLPROPERTIES('streaming'='true')")
res6: org.apache.spark.sql.DataFrame = []
scala>
scala>
scala>
scala> val carbonTable = CarbonEnv.getInstance(carbonSession).carbonMetastore.
| lookupRelation(Some("default"), streamTableName)(carbonSession).asInstanceOf[CarbonRelation].carbonTable carbonTable: org.apache.carbondata.core.metadata.schema.table.CarbonTable = org.apache.carbondata.core.metadata.schema.table.CarbonTable@77648a90 |
scala>
scala> val tablePath = CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)
tablePath: org.apache.carbondata.core.util.path.CarbonTablePath = hdfs://hacluster/user/hive/warehouse/carbon.store/default/all_datatypes_2048
scala>
scala> val port = 8010
port: Int = 8010
scala> val serverSocket = new ServerSocket(port)
serverSocket: java.net.ServerSocket = ServerSocket[addr=0.0.0.0/0.0.0.0,localport=8010]
scala> val socketThread = writeSocket(serverSocket)
socketThread: Thread = Thread[Thread-81,5,main]
scala> val streamingThread = startStreaming(carbonSession, tablePath, streamTableName, port)
Issue : Nullpointereception in spark shell when the streaming started with table streaming altered from default(false) to true. Streaming fails.
scala> org.apache.carbondata.streaming.CarbonStreamException: Table default.all_datatypes_2048 is not a streaming table
at org.apache.spark.sql.CarbonSource.createSink(CarbonSource.scala:242)
at org.apache.spark.sql.execution.datasources.DataSource.createSink(DataSource.scala:274)
at org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:266)
at $line28.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anon$1.run(<console>:51)
Done reading and writing streaming data
Exception in thread "Thread-82" java.lang.NullPointerException
at $line28.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anon$1.run(<console>:59)
Expected : Streaming should be continued successfully without any failure or exception after table streaming property altered from default(false) to true.
