[
https://issues.apache.org/jira/browse/CARBONDATA-1781?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Chetan Bhat updated CARBONDATA-1781:
------------------------------------
Description:
*Steps :*
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 opened 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 the below code is executed -
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 = "brinjal"
sql(s"drop table brinjal").show
sql(s"create table brinjal (imei string,AMSize string,channelsId
string,ActiveCountry string, Activecity string,gamePointId
double,deviceInformationId double,productionDate Timestamp,deliveryDate
timestamp,deliverycharge double) STORED BY 'org.apache.carbondata.format'
TBLPROPERTIES('streaming'='true','table_blocksize'='1')")
sql(s"LOAD DATA INPATH 'hdfs://hacluster/chetan/vardhandaterestruct.csv' INTO
TABLE brinjal OPTIONS('DELIMITER'=',', 'QUOTECHAR'=
'','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'=
'imei,deviceInformationId,AMSize,channelsId,ActiveCountry,Activecity,gamePointId,productionDate,deliveryDate,deliverycharge')")
val carbonTable = CarbonEnv.getInstance(carbonSession).carbonMetastore.
lookupRelation(Some("default"),
streamTableName)(carbonSession).asInstanceOf[CarbonRelation].carbonTable
val tablePath =
CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)
val port = 8002
val serverSocket = new ServerSocket(port)
val socketThread = writeSocket(serverSocket)
val streamingThread = startStreaming(carbonSession, tablePath, streamTableName,
port)
>From other terminal user deletes the .streaming file -
>BLR1000014307:/srv/spark2.2Bigdata/install/hadoop/datanode # bin/hadoop fs -rm
>-r /user/hive/warehouse/carbon.store/default/brinjal/.streaming
17/11/20 19:02:11 WARN util.NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
Deleted /user/hive/warehouse/carbon.store/default/brinjal/.streaming
Also the thrift server spark submit process is killed when streaming is in
progress.
>From beeline session user executes the select * , select column and select
>count queries.
*Issue : Select * and select column queries fail and throw exception while
select count(*) displays result set.*. Same issue occurs when the thrift server
spark submit process is killed when streaming is in progress.
0: jdbc:hive2://10.18.98.34:23040> select * from brinjal;
Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task
4 in stage 17.0 failed 4 times, most recent failure: Lost task 4.3 in stage
17.0 (TID 120, BLR1000014307, executor 12): java.io.EOFException
at
org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBytesFromStream(StreamBlockletReader.java:182)
at
org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBlockletData(StreamBlockletReader.java:116)
at
org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:406)
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$$anonfun$apply$25.apply(RDD.scala:826)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace: (state=,code=0)
0: jdbc:hive2://10.18.98.34:23040> select imei from brinjal;
Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task
5 in stage 18.0 failed 4 times, most recent failure: Lost task 5.3 in stage
18.0 (TID 136, BLR1000014307, executor 13): java.io.EOFException
at
org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBytesFromStream(StreamBlockletReader.java:182)
at
org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBlockletData(StreamBlockletReader.java:116)
at
org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:406)
at
org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextColumnarBatch(CarbonStreamRecordReader.java:317)
at
org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextKeyValue(CarbonStreamRecordReader.java:298)
at
org.apache.carbondata.spark.rdd.CarbonScanRDD$$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)
Driver stacktrace: (state=,code=0)
0: jdbc:hive2://10.18.98.34:23040> select count(*) from brinjal;
+-----------+--+
| count(1) |
+-----------+--+
| 11916 |
+-----------+--+
1 row selected (0.545 seconds)
*Expected : The behavior of select * and select column should be consistent
with the select count(*) behavior for streaming query.*
was:
*Steps :*
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 opened 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 the below code is executed -
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 = "brinjal"
sql(s"drop table brinjal").show
sql(s"create table brinjal (imei string,AMSize string,channelsId
string,ActiveCountry string, Activecity string,gamePointId
double,deviceInformationId double,productionDate Timestamp,deliveryDate
timestamp,deliverycharge double) STORED BY 'org.apache.carbondata.format'
TBLPROPERTIES('streaming'='true','table_blocksize'='1')")
sql(s"LOAD DATA INPATH 'hdfs://hacluster/chetan/vardhandaterestruct.csv' INTO
TABLE brinjal OPTIONS('DELIMITER'=',', 'QUOTECHAR'=
'','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'=
'imei,deviceInformationId,AMSize,channelsId,ActiveCountry,Activecity,gamePointId,productionDate,deliveryDate,deliverycharge')")
val carbonTable = CarbonEnv.getInstance(carbonSession).carbonMetastore.
lookupRelation(Some("default"),
streamTableName)(carbonSession).asInstanceOf[CarbonRelation].carbonTable
val tablePath =
CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)
val port = 8002
val serverSocket = new ServerSocket(port)
val socketThread = writeSocket(serverSocket)
val streamingThread = startStreaming(carbonSession, tablePath, streamTableName,
port)
>From other terminal user deletes the .streaming file -
>BLR1000014307:/srv/spark2.2Bigdata/install/hadoop/datanode # bin/hadoop fs -rm
>-r /user/hive/warehouse/carbon.store/default/brinjal/.streaming
17/11/20 19:02:11 WARN util.NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
Deleted /user/hive/warehouse/carbon.store/default/brinjal/.streaming
>From beeline session user executes the select * , select column and select
>count queries.
*Issue : Select * and select column queries fail and throw exception while
select count(*) displays result set.*
0: jdbc:hive2://10.18.98.34:23040> select * from brinjal;
Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task
4 in stage 17.0 failed 4 times, most recent failure: Lost task 4.3 in stage
17.0 (TID 120, BLR1000014307, executor 12): java.io.EOFException
at
org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBytesFromStream(StreamBlockletReader.java:182)
at
org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBlockletData(StreamBlockletReader.java:116)
at
org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:406)
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$$anonfun$apply$25.apply(RDD.scala:826)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace: (state=,code=0)
0: jdbc:hive2://10.18.98.34:23040> select imei from brinjal;
Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task
5 in stage 18.0 failed 4 times, most recent failure: Lost task 5.3 in stage
18.0 (TID 136, BLR1000014307, executor 13): java.io.EOFException
at
org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBytesFromStream(StreamBlockletReader.java:182)
at
org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBlockletData(StreamBlockletReader.java:116)
at
org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:406)
at
org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextColumnarBatch(CarbonStreamRecordReader.java:317)
at
org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextKeyValue(CarbonStreamRecordReader.java:298)
at
org.apache.carbondata.spark.rdd.CarbonScanRDD$$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)
Driver stacktrace: (state=,code=0)
0: jdbc:hive2://10.18.98.34:23040> select count(*) from brinjal;
+-----------+--+
| count(1) |
+-----------+--+
| 11916 |
+-----------+--+
1 row selected (0.545 seconds)
*Expected : The behavior of select * and select column should be consistent
with the select count(*) behavior for streaming query.*
> (Carbon1.3.0 - Streaming) Select * & select column fails but select count(*)
> is success when .streaming file is removed from HDFS or thrift server is
> killed when streaming in progress
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: CARBONDATA-1781
> URL: https://issues.apache.org/jira/browse/CARBONDATA-1781
> Project: CarbonData
> Issue Type: Bug
> Components: data-query
> Affects Versions: 1.3.0
> Environment: 3 node ant cluster
> Reporter: Chetan Bhat
> Labels: DFX
>
> *Steps :*
> 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 opened 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 the below code is executed -
> 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 = "brinjal"
> sql(s"drop table brinjal").show
> sql(s"create table brinjal (imei string,AMSize string,channelsId
> string,ActiveCountry string, Activecity string,gamePointId
> double,deviceInformationId double,productionDate Timestamp,deliveryDate
> timestamp,deliverycharge double) STORED BY 'org.apache.carbondata.format'
> TBLPROPERTIES('streaming'='true','table_blocksize'='1')")
> sql(s"LOAD DATA INPATH 'hdfs://hacluster/chetan/vardhandaterestruct.csv' INTO
> TABLE brinjal OPTIONS('DELIMITER'=',', 'QUOTECHAR'=
> '','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'=
> 'imei,deviceInformationId,AMSize,channelsId,ActiveCountry,Activecity,gamePointId,productionDate,deliveryDate,deliverycharge')")
> val carbonTable = CarbonEnv.getInstance(carbonSession).carbonMetastore.
> lookupRelation(Some("default"),
> streamTableName)(carbonSession).asInstanceOf[CarbonRelation].carbonTable
> val tablePath =
> CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)
> val port = 8002
> val serverSocket = new ServerSocket(port)
> val socketThread = writeSocket(serverSocket)
> val streamingThread = startStreaming(carbonSession, tablePath,
> streamTableName, port)
> From other terminal user deletes the .streaming file -
> BLR1000014307:/srv/spark2.2Bigdata/install/hadoop/datanode # bin/hadoop fs
> -rm -r /user/hive/warehouse/carbon.store/default/brinjal/.streaming
> 17/11/20 19:02:11 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> Deleted /user/hive/warehouse/carbon.store/default/brinjal/.streaming
> Also the thrift server spark submit process is killed when streaming is in
> progress.
> From beeline session user executes the select * , select column and select
> count queries.
> *Issue : Select * and select column queries fail and throw exception while
> select count(*) displays result set.*. Same issue occurs when the thrift
> server spark submit process is killed when streaming is in progress.
> 0: jdbc:hive2://10.18.98.34:23040> select * from brinjal;
> Error: org.apache.spark.SparkException: Job aborted due to stage failure:
> Task 4 in stage 17.0 failed 4 times, most recent failure: Lost task 4.3 in
> stage 17.0 (TID 120, BLR1000014307, executor 12): java.io.EOFException
> at
> org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBytesFromStream(StreamBlockletReader.java:182)
> at
> org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBlockletData(StreamBlockletReader.java:116)
> at
> org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:406)
> 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$$anonfun$apply$25.apply(RDD.scala:826)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace: (state=,code=0)
> 0: jdbc:hive2://10.18.98.34:23040> select imei from brinjal;
> Error: org.apache.spark.SparkException: Job aborted due to stage failure:
> Task 5 in stage 18.0 failed 4 times, most recent failure: Lost task 5.3 in
> stage 18.0 (TID 136, BLR1000014307, executor 13): java.io.EOFException
> at
> org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBytesFromStream(StreamBlockletReader.java:182)
> at
> org.apache.carbondata.hadoop.streaming.StreamBlockletReader.readBlockletData(StreamBlockletReader.java:116)
> at
> org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:406)
> at
> org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextColumnarBatch(CarbonStreamRecordReader.java:317)
> at
> org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextKeyValue(CarbonStreamRecordReader.java:298)
> at
> org.apache.carbondata.spark.rdd.CarbonScanRDD$$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)
> Driver stacktrace: (state=,code=0)
> 0: jdbc:hive2://10.18.98.34:23040> select count(*) from brinjal;
> +-----------+--+
> | count(1) |
> +-----------+--+
> | 11916 |
> +-----------+--+
> 1 row selected (0.545 seconds)
> *Expected : The behavior of select * and select column should be consistent
> with the select count(*) behavior for streaming query.*
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