[
https://issues.apache.org/jira/browse/CARBONDATA-1726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Chetan Bhat closed CARBONDATA-1726.
-----------------------------------
Resolution: Fixed
Fix Version/s: 1.3.0
Issue is fixed in 1.3.0.B002 build jars.
> Carbon1.3.0-Streaming - Null pointer exception is thrown when streaming is
> started in spark-shell
> -------------------------------------------------------------------------------------------------
>
> Key: CARBONDATA-1726
> URL: https://issues.apache.org/jira/browse/CARBONDATA-1726
> Project: CarbonData
> Issue Type: Bug
> Components: data-query
> Affects Versions: 1.3.0
> Environment: 3 node ant cluster SUSE 11 SP4
> Reporter: Chetan Bhat
> Priority: Blocker
> Labels: Functional
> Fix For: 1.3.0
>
>
> 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.
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