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From "Chetan Bhat (JIRA)" <j...@apache.org>
Subject [jira] [Created] (CARBONDATA-1814) (Carbon1.3.0 - Streaming) Nullpointereception in spark shell when the streaming started with table streaming altered from default(false) to true
Date Mon, 27 Nov 2017 08:56:01 GMT
Chetan Bhat created CARBONDATA-1814:
---------------------------------------

             Summary: (Carbon1.3.0 - Streaming) Nullpointereception in spark shell when the
streaming started with table streaming altered from default(false) to true
                 Key: CARBONDATA-1814
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-1814
             Project: CarbonData
          Issue Type: Bug
          Components: other
    Affects Versions: 1.3.0
         Environment: 3 node ant cluster
            Reporter: Chetan Bhat


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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