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From "anubhav tarar (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (CARBONDATA-1991) Select query from a streaming table throws ClassCastException
Date Mon, 08 Jan 2018 11:54:00 GMT

     [ https://issues.apache.org/jira/browse/CARBONDATA-1991?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

anubhav tarar reassigned CARBONDATA-1991:
-----------------------------------------

    Assignee: anubhav tarar

> Select query from a streaming table throws ClassCastException
> -------------------------------------------------------------
>
>                 Key: CARBONDATA-1991
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-1991
>             Project: CarbonData
>          Issue Type: Bug
>          Components: data-query
>    Affects Versions: 1.3.0
>         Environment: spark2.1
>            Reporter: Geetika Gupta
>            Assignee: anubhav tarar
>             Fix For: 1.3.0
>
>         Attachments: 2000_UniqData.csv
>
>
> Start spark shell using:
> ./bin/spark-shell --jars carbonlib/carbondata_2.11-1.3.0-SNAPSHOT-shade-hadoop2.7.2.jar
> Execute the following code:
>  import org.apache.spark.sql.SparkSession
> import org.apache.spark.sql.CarbonSession._
> val carbon = SparkSession.builder().config(sc.getConf) .getOrCreateCarbonSession("hdfs://localhost:54311/newCarbonStore","/tmp")
>  carbon.sql("drop table if exists uniqdata_part")
> carbon.sql("create table uniqdata_stream(CUST_ID int,CUST_NAME String,DOB timestamp,DOJ
timestamp, BIGINT_COLUMN1 bigint,BIGINT_COLUMN2 bigint,DECIMAL_COLUMN1 decimal(30,10),DECIMAL_COLUMN2
decimal(36,10),Double_COLUMN1 double, Double_COLUMN2 double,INTEGER_COLUMN1 int) STORED BY
'org.apache.carbondata.format' TBLPROPERTIES ('TABLE_BLOCKSIZE'= '256 MB', 'streaming'='true')");
> import carbon.sqlContext.implicits._
> val lines = carbon.readStream
>   .format("socket")
>   .option("host", "localhost")
>   .option("port", 9999)
>   .load()
> Now start a server socket using:
> nc -lk 9999 
> and write the 2000_uniqdata.csv data to that terminal
> Now execute the following on spark shell
> val qry = lines.writeStream
>              .format("carbondata")
>              .option("checkpointLocation","/newtmp1")
>             .option("dbName", "default")
>             .option("tableName", "uniqdata_stream")
>             .start()
>           qry.awaitTermination()
> Stop your socket and spark-shell when you are done with data writing,
> Again start the spark-shell and perform the following query:
> carbon.sql("select * from uniqdata_stream").show
> It throws the following exception:
> 18/01/05 18:25:04 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
> java.lang.ClassCastException: java.math.BigDecimal cannot be cast to org.apache.spark.sql.types.Decimal
> 	at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.putRowToColumnBatch(CarbonStreamRecordReader.java:702)
> 	at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.scanBlockletAndFillVector(CarbonStreamRecordReader.java:424)
> 	at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextColumnarBatch(CarbonStreamRecordReader.java:324)
> 	at org.apache.carbondata.hadoop.streaming.CarbonStreamRecordReader.nextKeyValue(CarbonStreamRecordReader.java:305)
> 	at org.apache.carbondata.spark.rdd.CarbonScanRDD$$anon$1.hasNext(CarbonScanRDD.scala:370)
> 	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown
Source)
> 	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
> 	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> 	at org.apache.spark.sql.execution.WholeStageCodegenExec$$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:1149)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> 	at java.lang.Thread.run(Thread.java:748)



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