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https://issues.apache.org/jira/browse/SPARK-22841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-22841.
-------------------------------
Resolution: Invalid
As the error says, there's no matching group in your regex, so this fails.
Because it's a 'programmer error' and not a function of the data, this is the
kind of result I'd expect rather than NULL or something.
> Select regexp_extract from table with where clause having is null throws
> indexoutofbounds exception
> ---------------------------------------------------------------------------------------------------
>
> Key: SPARK-22841
> URL: https://issues.apache.org/jira/browse/SPARK-22841
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Chetan Bhat
>
> Steps :
> Thrift server is started using the command - 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"
> Spark shell is launched 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
> From Spark shell the streaming table is created and data is loaded to the
> streaming table.
> 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").
> getOrCreateCarbonSession("hdfs://hacluster/user/hive/warehouse/carbon.store")
> carbonSession.sparkContext.setLogLevel("INFO")
> def sql(sql: String) = carbonSession.sql(sql)
> 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,
> 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
> }
> val streamTableName = "uniqdata"
> sql(s"CREATE TABLE uniqdata (CUST_ID int,CUST_NAME String,ACTIVE_EMUI_VERSION
> string, DOB timestamp, DOJ timestamp, BIGINT_COLUMN1 bigint,BIGINT_COLUMN2
> bigint,DECIMAL_COLUMN1 decimal(30,10), DECIMAL_COLUMN2
> decimal(36,36),Double_COLUMN1 double, Double_COLUMN2 double,INTEGER_COLUMN1
> int) STORED BY 'org.apache.carbondata.format'
> TBLPROPERTIES('streaming'='true')")
> sql(s"LOAD DATA INPATH 'hdfs://hacluster/chetan/2000_UniqData.csv' into table
> uniqdata OPTIONS(
> 'BAD_RECORDS_ACTION'='FORCE','FILEHEADER'='CUST_ID,CUST_NAME,ACTIVE_EMUI_VERSION,DOB,DOJ,BIGINT_COLUMN1,BIGINT_COLUMN2,DECIMAL_COLUMN1,DECIMAL_COLUMN2,Double_COLUMN1,Double_COLUMN2,INTEGER_COLUMN1')")
> val carbonTable = CarbonEnv.getInstance(carbonSession).carbonMetastore.
> lookupRelation(Some("default"),
> streamTableName)(carbonSession).asInstanceOf[CarbonRelation].carbonTable
> val tablePath =
> CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier)
> val port = 8006
> val serverSocket = new ServerSocket(port)
> val socketThread = writeSocket(serverSocket)
> val streamingThread = startStreaming(carbonSession, tablePath,
> streamTableName, port)
> From Beeline user executes the query
> select regexp_extract(CUST_NAME,'a',1)from uniqdata where
> regexp_extract(CUST_NAME,'a',1) IS NULL or regexp_extract(DOB,'b',2) is NULL;
> Issue : Select regexp_extract from table with where clause having is null
> throws indexoutofbounds exception
> 0: jdbc:hive2://10.18.98.34:23040> select regexp_extract(CUST_NAME,'a',1)from
> uniqdata where regexp_extract(CUST_NAME,'a',1) IS NULL or
> regexp_extract(DOB,'b',2) is NULL;
> Error: org.apache.spark.SparkException: Job aborted due to stage failure:
> Task 1 in stage 198.0 failed 4 times, most recent failure: Lost task 1.3 in
> stage 198.0 (TID 1634, BLR1000014269, executor 8): jagroup
> 1va.lang.IndexOutOfBoundsException: No
> at java.util.regex.Matcher.group(Matcher.java:538)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:231)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:225)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace: (state=,code=0)
> Expected : Select regexp_extract from table with where clause having is null
> should be successful.
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