[CARBONDATA-1783] (Carbon1.3.0 - Streaming) Error "Failed to filter row in vector reader" when filter query executed on streaming data

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.3.0
• Fix Version/s: 1.3.0
• Component/s: data-query
• Labels: DFX
• Environment: 3 node ant cluster
• Assignee: Unassigned
• Reporter: Chetan Bhat
• Due: 31/Dec/17
• Created: 20/Nov/17 14:38
• Updated: 22/Dec/17 16:25
• Resolved: 22/Dec/17 16:25

Description

Steps :-
Spark submit thrift server is started using the command - bin/spark-submit --master yarn-client --executor-memory 10G --executor-cores 5 --driver-memory 5G --num-executors 3 --class org.apache.carbondata.spark.thriftserver.CarbonThriftServer /srv/spark2.2Bigdata/install/spark/sparkJdbc/carbonlib/carbondata_2.11-1.3.0-SNAPSHOT-shade-hadoop2.7.2.jar "hdfs://hacluster/user/hive/warehouse/carbon.store"

Spark shell is launched 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

From Spark shell user creates table and loads data in the table as shown below.

import java.io.

{File, PrintWriter}

import java.net.ServerSocket

import org.apache.spark.sql.

{CarbonEnv, SparkSession}

import org.apache.spark.sql.hive.CarbonRelation
import org.apache.spark.sql.streaming.

{ProcessingTime, StreamingQuery}

import org.apache.carbondata.core.constants.CarbonCommonConstants
import org.apache.carbondata.core.util.CarbonProperties
import org.apache.carbondata.core.util.path.

{CarbonStorePath, CarbonTablePath}

CarbonProperties.getInstance().addProperty(CarbonCommonConstants.CARBON_TIMESTAMP_FORMAT, "yyyy/MM/dd")

import org.apache.spark.sql.CarbonSession._

val carbonSession = SparkSession.
builder().
appName("StreamExample").
getOrCreateCarbonSession("hdfs://hacluster/user/hive/warehouse/carbon.store")

carbonSession.sparkContext.setLogLevel("INFO")

def sql(sql: String) = carbonSession.sql(sql)

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
}

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
}

val streamTableName = "all_datatypes_2048"

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('streaming'='true','table_blocksize'='2048')")

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')")

val carbonTable = CarbonEnv.getInstance(carbonSession).carbonMetastore.
lookupRelation(Some("default"), streamTableName)(carbonSession).asInstanceOf[CarbonRelation].carbonTable

val tablePath = CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)

val port = 8007
val serverSocket = new ServerSocket(port)
val socketThread = writeSocket(serverSocket)
val streamingThread = startStreaming(carbonSession, tablePath, streamTableName, port)

While the streaming load is in progress from Beeline user executes the below select filter query
select imei,gamePointId, channelsId,series from all_datatypes_2048 where channelsId >=10 OR channelsId <=1 and series='7Series';

Issue : The select filter query fails with exception as shown below.
0: jdbc:hive2://10.18.98.34:23040> select imei,gamePointId, channelsId,series from all_datatypes_2048 where channelsId >=10 OR channelsId <=1 and series='7Series';
Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 773.0 failed 4 times, most recent failure: Lost task 6.3 in stage 773.0 (TID 33727, BLR1000014269, executor 14): java.io.IOException: Failed to filter row in vector reader
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:423)
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextColumnarBatch(CarbonStreamRecordReader.java:317)
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextKeyValue(CarbonStreamRecordReader.java:298)
at org.apache.carbondata.spark.rdd.CarbonScanRDD$$anon$1.hasNext(CarbonScanRDD.scala:298)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:231)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:225)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.carbondata.core.scan.expression.exception.FilterUnsupportedException: [B cannot be cast to org.apache.spark.unsafe.types.UTF8String
at org.apache.spark.sql.SparkUnknownExpression.evaluate(SparkUnknownExpression.scala:50)
at org.apache.carbondata.core.scan.expression.conditional.GreaterThanEqualToExpression.evaluate(GreaterThanEqualToExpression.java:38)
at org.apache.carbondata.core.scan.filter.executer.RowLevelFilterExecuterImpl.applyFilter(RowLevelFilterExecuterImpl.java:272)
at org.apache.carbondata.core.scan.filter.executer.OrFilterExecuterImpl.applyFilter(OrFilterExecuterImpl.java:49)
at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:418)
... 20 more

Driver stacktrace: (state=,code=0)

Expected : The select filter query should be success without error/exception.
The issue also occurs with the below queries
select imei,gamePointId, channelsId,series from all_datatypes_2048 where channelsId >=10 OR channelsId <=1 or series='7Series';
select imei,gamePointId, channelsId,series from all_datatypes_2048 where channelsId >=10 OR (channelsId <=1 and series='1Series');
select sum(gamePointId) a from all_datatypes_2048 where channelsId >=10 OR (channelsId <=1 and series='1Series');
select * from (select imei,if(imei='1AA100060',NULL,imei) a from all_datatypes_2048) aa where a IS NULL;
select imei from all_datatypes_2048 where (contractNumber == 5281803) and (gamePointId==2738.562);
select deliveryCity from all_datatypes_2048 where (deliveryCity == 'yichang') and ( deliveryStreet=='yichang');
select channelsId from all_datatypes_2048 where (channelsId == '4') and (gamePointId==2738.562);
select imei from all_datatypes_2048 where (contractNumber == 5281803) OR (gamePointId==2738.562) order by contractNumber ;
select channelsId from all_datatypes_2048 where (channelsId == '4') OR (gamePointId==2738.562) order by channelsId ;
select deliveryCity from all_datatypes_2048 where (deliveryCity == 'yichang') OR ( deliveryStreet=='yichang') order by deliveryCity;