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Date: Mon, 27 Nov 2017 08:56:01 +0000 (UTC)
From: "Chetan Bhat (JIRA)" <jira@apache.org>
To: issues@carbondata.apache.org
Message-ID: <JIRA.13120857.1511772955000.322462.1511772961076@Atlassian.JIRA>
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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
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archived-at: Mon, 27 Nov 2017 08:56:10 -0000

Chetan Bhat created CARBONDATA-1814:
---------------------------------------

             Summary: (Carbon1.3.0 - Streaming) Nullpointereception in spar=
k shell when the streaming started with table streaming altered from defaul=
t(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-c=
lient --executor-memory 10G --executor-cores 5 --driver-memory 5G --num-exe=
cutors 3 --jars /srv/spark2.2Bigdata/install/spark/sparkJdbc/carbonlib/carb=
ondata_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, StreamingQuer=
y}
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, Carbon=
TablePath}
import org.apache.carbondata.core.util.path.{CarbonStorePath, CarbonTablePa=
th}

scala>

scala> CarbonProperties.getInstance().addProperty(CarbonCommonConstants.CAR=
BON_TIMESTAMP_FORMAT, "yyyy/MM/dd")
res0: org.apache.carbondata.core.util.CarbonProperties =3D org.apache.carbo=
ndata.core.util.CarbonProperties@69ee0861

scala>

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

scala>

scala> val carbonSession =3D SparkSession.
     |   builder().
     |   appName("StreamExample").
     |   getOrCreateCarbonSession("hdfs://hacluster/user/hive/warehouse/car=
bon.store")
carbonSession: org.apache.spark.sql.SparkSession =3D org.apache.spark.sql.C=
arbonSession@6ce365b7

scala>
     | carbonSession.sparkContext.setLogLevel("INFO")

scala>

scala> def sql(sql: String) =3D carbonSession.sql(sql)
sql: (sql: String)org.apache.spark.sql.DataFrame

scala>

scala> def writeSocket(serverSocket: ServerSocket): Thread =3D {
     |   val thread =3D new Thread() {
     |     override def run(): Unit =3D {
     |       // wait for client to connection request and accept
     |       val clientSocket =3D serverSocket.accept()
     |       val socketWriter =3D new PrintWriter(clientSocket.getOutputStr=
eam())
     |       var index =3D 0
     |       for (_ <- 1 to 1000) {
     |         // write 5 records per iteration
     |         for (_ <- 0 to 100) {
     |           index =3D index + 1
     |           socketWriter.println(index.toString + ",name_" + index
     |                                + ",city_" + index + "," + (index * 1=
0000.00).toString +
     |                                ",school_" + index + ":school_" + ind=
ex + 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 =3D {
     |     val thread =3D new Thread() {
     |       override def run(): Unit =3D {
     |         var qry: StreamingQuery =3D null
     |         try {
     |           val readSocketDF =3D spark.readStream
     |             .format("socket")
     |             .option("host", "10.18.98.34")
     |             .option("port", port)
     |             .load()
     |
     |           qry =3D readSocketDF.writeStream
     |             .format("carbondata")
     |             .trigger(ProcessingTime("5 seconds"))
     |             .option("checkpointLocation", tablePath.getStreamingChec=
kpointDir)
     |             .option("tablePath", tablePath.getPath).option("tableNam=
e", tableName)
     |             .start()
     |
     |           qry.awaitTermination()
     |         } catch {
     |           case ex: Throwable =3D>
     |             ex.printStackTrace()
     |             println("Done reading and writing streaming data")
     |         } finally {
     |           qry.stop()
     |         }
     |       }
     |     }
     |     thread.start()
     |     thread
     | }
startStreaming: (spark: org.apache.spark.sql.SparkSession, tablePath: org.a=
pache.carbondata.core.util.path.CarbonTablePath, tableName: String, port: I=
nt)Thread

scala>

scala> val streamTableName =3D "all_datatypes_2048"
streamTableName: String =3D all_datatypes_2048

scala>

scala>

scala> sql(s"create table all_datatypes_2048 (imei string,deviceInformation=
Id 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 , deli=
veryAreaId string, deliveryCountry string, deliveryProvince string, deliver=
yCity string,deliveryDistrict string, deliveryStreet string, oxSingleNumber=
 string, ActiveCheckTime string, ActiveAreaId string, ActiveCountry string,=
 ActiveProvince string, Activecity string, ActiveDistrict string, ActiveStr=
eet string, ActiveOperatorId string, Active_releaseId string, Active_EMUIVe=
rsion string, Active_operaSysVersion string, Active_BacVerNumber string, Ac=
tive_BacFlashVer string, Active_webUIVersion string, Active_webUITypeCarrVe=
r 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, L=
atest_country string, Latest_province string, Latest_city string, Latest_di=
strict string, Latest_street string, Latest_releaseId string, Latest_EMUIVe=
rsion string, Latest_operaSysVersion string, Latest_BacVerNumber string, La=
test_BacFlashVer string, Latest_webUIVersion string, Latest_webUITypeCarrVe=
r string, Latest_webTypeDataVerNumber string, Latest_operatorsVersion strin=
g, Latest_phonePADPartitionedVersions string, Latest_operatorId string, gam=
ePointDescription string,gamePointId double,contractNumber BigInt) STORED B=
Y 'org.apache.carbondata.format' TBLPROPERTIES('table_blocksize'=3D'2048')"=
)
res4: org.apache.spark.sql.DataFrame =3D []

scala>

scala> sql(s"LOAD DATA INPATH 'hdfs://hacluster/chetan/100_olap_C20.csv' IN=
TO table all_datatypes_2048 options ('DELIMITER'=3D',', 'BAD_RECORDS_ACTION=
'=3D'FORCE','FILEHEADER'=3D'imei,deviceInformationId,MAC,deviceColor,device=
_backColor,modelId,marketName,AMSize,ROMSize,CUPAudit,CPIClocked,series,pro=
ductionDate,bomCode,internalModels,deliveryTime,channelsId,channelsName,del=
iveryAreaId,deliveryCountry,deliveryProvince,deliveryCity,deliveryDistrict,=
deliveryStreet,oxSingleNumber,contractNumber,ActiveCheckTime,ActiveAreaId,A=
ctiveCountry,ActiveProvince,Activecity,ActiveDistrict,ActiveStreet,ActiveOp=
eratorId,Active_releaseId,Active_EMUIVersion,Active_operaSysVersion,Active_=
BacVerNumber,Active_BacFlashVer,Active_webUIVersion,Active_webUITypeCarrVer=
,Active_webTypeDataVerNumber,Active_operatorsVersion,Active_phonePADPartiti=
onedVersions,Latest_YEAR,Latest_MONTH,Latest_DAY,Latest_HOUR,Latest_areaId,=
Latest_country,Latest_province,Latest_city,Latest_district,Latest_street,La=
test_releaseId,Latest_EMUIVersion,Latest_operaSysVersion,Latest_BacVerNumbe=
r,Latest_BacFlashVer,Latest_webUIVersion,Latest_webUITypeCarrVer,Latest_web=
TypeDataVerNumber,Latest_operatorsVersion,Latest_phonePADPartitionedVersion=
s,Latest_operatorId,gamePointId,gamePointDescription')")
res5: org.apache.spark.sql.DataFrame =3D []

scala>

scala> sql(s"ALTER TABLE all_datatypes_2048 SET TBLPROPERTIES('streaming'=
=3D'true')")
res6: org.apache.spark.sql.DataFrame =3D []

scala>

scala>

scala>

scala> val carbonTable =3D CarbonEnv.getInstance(carbonSession).carbonMetas=
tore.
     |   lookupRelation(Some("default"), streamTableName)(carbonSession).as=
InstanceOf[CarbonRelation].carbonTable
carbonTable: org.apache.carbondata.core.metadata.schema.table.CarbonTable =
=3D org.apache.carbondata.core.metadata.schema.table.CarbonTable@77648a90

scala>

scala> val tablePath =3D CarbonStorePath.getCarbonTablePath(carbonTable.get=
AbsoluteTableIdentifier)
tablePath: org.apache.carbondata.core.util.path.CarbonTablePath =3D hdfs://=
hacluster/user/hive/warehouse/carbon.store/default/all_datatypes_2048

scala>

scala> val port =3D 8010
port: Int =3D 8010

scala> val serverSocket =3D new ServerSocket(port)
serverSocket: java.net.ServerSocket =3D ServerSocket[addr=3D0.0.0.0/0.0.0.0=
,localport=3D8010]

scala> val socketThread =3D writeSocket(serverSocket)
socketThread: Thread =3D Thread[Thread-81,5,main]

scala> val streamingThread =3D startStreaming(carbonSession, tablePath, str=
eamTableName, 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(DataStream=
Writer.scala:266)
        at $line28.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anon$1.ru=
n(<console>:51)
Done reading and writing streaming data
Exception in thread "Thread-82" java.lang.NullPointerException
        at $line28.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anon$1.ru=
n(<console>:59)


Expected : Streaming should be continued successfully without any failure o=
r exception after table streaming property altered from default(false) to t=
rue.


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