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Posted to issues@carbondata.apache.org by "Chetan Bhat (JIRA)" <ji...@apache.org> on 2017/11/29 05:47:00 UTC
[jira] [Updated] (CARBONDATA-1813) Nullpointereception in spark
shell when the streaming started with table streaming altered from
default(false) to true
[ https://issues.apache.org/jira/browse/CARBONDATA-1813?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Chetan Bhat updated CARBONDATA-1813:
------------------------------------
Summary: Nullpointereception in spark shell when the streaming started with table streaming altered from default(false) to true (was: (Carbon1.3.0 - Streaming) Nullpointereception in spark shell when the streaming started with table streaming altered from default(false) to true)
> Nullpointereception in spark shell when the streaming started with table streaming altered from default(false) to true
> ----------------------------------------------------------------------------------------------------------------------
>
> Key: CARBONDATA-1813
> URL: https://issues.apache.org/jira/browse/CARBONDATA-1813
> Project: CarbonData
> Issue Type: Bug
> Components: other
> Affects Versions: 1.3.0
> Environment: 3 node ant cluster
> Reporter: Chetan Bhat
> Labels: Functional
>
> 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.{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@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.
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