[CARBONDATA-1726] Carbon1.3.0-Streaming - Null pointer exception is thrown when streaming is started in spark-shell

• Type: Bug
• Status: Closed
• Priority: Blocker
• Resolution: Fixed
• Affects Version/s: 1.3.0
• Fix Version/s: 1.3.0
• Component/s: data-query
• Labels: Functional
• Environment: 3 node ant cluster SUSE 11 SP4
• Assignee: Unassigned
• Reporter: Chetan Bhat
• Due: 30/Dec/17
• Created: 15/Nov/17 12:49
• Updated: 27/Nov/17 09:37
• Resolved: 27/Nov/17 09:37

Description

Steps :
// prepare csv file for batch loading
cd /srv/spark2.2Bigdata/install/hadoop/datanode/bin

// generate streamSample.csv

100000001,batch_1,city_1,0.1,school_1:school_11$20
100000002,batch_2,city_2,0.2,school_2:school_22$30
100000003,batch_3,city_3,0.3,school_3:school_33$40
100000004,batch_4,city_4,0.4,school_4:school_44$50
100000005,batch_5,city_5,0.5,school_5:school_55$60

// put to hdfs /tmp/streamSample.csv
./hadoop fs -put streamSample.csv /tmp

// spark-beeline
cd /srv/spark2.2Bigdata/install/spark/sparkJdbc
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/sparkhive/warehouse"

bin/beeline -u jdbc:hive2://10.18.98.34:23040

CREATE TABLE stream_table(
id INT,
name STRING,
city STRING,
salary FLOAT
)
STORED BY 'carbondata'
TBLPROPERTIES('streaming'='true', 'sort_columns'='name');

LOAD DATA LOCAL INPATH 'hdfs://hacluster/chetan/streamSample.csv' INTO TABLE stream_table OPTIONS('HEADER'='false');

// spark-shell
cd /srv/spark2.2Bigdata/install/spark/sparkJdbc
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

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").
config("spark.sql.warehouse.dir", "hdfs://hacluster/user/sparkhive/warehouse").
config("javax.jdo.option.ConnectionURL", "jdbc:mysql://10.18.98.34:3306/sparksql?characterEncoding=UTF-8").
config("javax.jdo.option.ConnectionDriverName", "com.mysql.jdbc.Driver").
config("javax.jdo.option.ConnectionPassword", "huawei").
config("javax.jdo.option.ConnectionUserName", "sparksql").
getOrCreateCarbonSession()

carbonSession.sparkContext.setLogLevel("ERROR")

carbonSession.sql("select * from stream_table").show

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): 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", 7071) .load() // Write data from socket stream to carbondata file qry = readSocketDF.writeStream .format("carbondata") .trigger(ProcessingTime("5 seconds")) .option("checkpointLocation", tablePath.getStreamingCheckpointDir) .option("tablePath", tablePath.getPath) .start() qry.awaitTermination() } catch { case _: InterruptedException => println("Done reading and writing streaming data") } finally { qry.stop() }
}
}
thread.start()
thread
}

val streamTableName = s"stream_table"

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

val tablePath = CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)

val serverSocket = new ServerSocket(7071)
val socketThread = writeSocket(serverSocket)
val streamingThread = startStreaming(carbonSession, tablePath)

*Issue : There is a null pointer exception when streaming is started.

When the executor and driver cores and memory is increased while launching the spark shell the issue still occurs.
scala> import java.io.{File, PrintWriter}

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@7212b28e

scala>

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

scala>

scala> val carbonSession = SparkSession.

builder().

appName("StreamExample").

config("spark.sql.warehouse.dir", "hdfs://hacluster/user/sparkhive/warehouse").

config("javax.jdo.option.ConnectionURL", "jdbc:mysql://10.18.98.34:3306/sparksql?characterEncoding=UTF-8").

config("javax.jdo.option.ConnectionDriverName", "com.mysql.jdbc.Driver").

config("javax.jdo.option.ConnectionPassword", "huawei").

config("javax.jdo.option.ConnectionUserName", "sparksql").

getOrCreateCarbonSession() carbonSession: org.apache.spark.sql.SparkSession = org.apache.spark.sql.CarbonSession@7593716d

scala>

carbonSession.sparkContext.setLogLevel("ERROR")

scala>

scala> carbonSession.sql("select * from stream_table").show
----------------------+

id

name

city

salary

----------------------+

100000001	batch_1	city_1	0.1
100000002	batch_2	city_2	0.2
100000003	batch_3	city_3	0.3
100000004	batch_4	city_4	0.4
100000005	batch_5	city_5	0.5

----------------------+

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): 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", 7071) | .load() | | // Write data from socket stream to carbondata file | qry = readSocketDF.writeStream | .format("carbondata") | .trigger(ProcessingTime("5 seconds")) | .option("checkpointLocation", tablePath.getStreamingCheckpointDir) | .option("tablePath", tablePath.getPath) | .start() | | qry.awaitTermination() | } catch { | case _: InterruptedException => | 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)Thread

scala>

scala> val streamTableName = s"stream_table"
streamTableName: String = stream_table

scala>

scala> val carbonTable = CarbonEnv.getInstance(carbonSession).carbonMetastore.

lookupRelation(Some("default"), streamTableName)(carbonSession).asInstanceOf[CarbonRelation].

tableMeta.carbonTable carbonTable: org.apache.carbondata.core.metadata.schema.table.CarbonTable = org.apache.carbondata.core.metadata.schema.table.CarbonTable@62cf8fda

scala>

scala> val tablePath = CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)
tablePath: org.apache.carbondata.core.util.path.CarbonTablePath = hdfs://hacluster/user/hive/warehouse/carbon.store/default/stream_table

scala>

scala> val serverSocket = new ServerSocket(7071)
serverSocket: java.net.ServerSocket = ServerSocket[addr=0.0.0.0/0.0.0.0,localport=7071]

scala> val socketThread = writeSocket(serverSocket)
socketThread: Thread = Thread[Thread-103,5,main]

scala> val streamingThread = startStreaming(carbonSession, tablePath)
streamingThread: Thread = Thread[Thread-104,5,main]
*
**scala> Exception in thread "Thread-104" java.lang.NullPointerException
at $line29.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anon$1.run(<console>:59)***

Expected : The startstreaming should not throw exception and should be successful.