[jira] [Resolved] (CARBONDATA-2031) Select column with is null for no_inverted_index column throws java.lang.ArrayIndexOutOfBoundsException

[Akash R Nilugal (Jira)]

     [ https://issues.apache.org/jira/browse/CARBONDATA-2031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

kumar vishal resolved CARBONDATA-2031.
--------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.3.0

> Select column with is null for no_inverted_index column throws java.lang.ArrayIndexOutOfBoundsException
> -------------------------------------------------------------------------------------------------------
>
>                 Key: CARBONDATA-2031
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-2031
>             Project: CarbonData
>          Issue Type: Bug
>            Reporter: Akash R Nilugal
>            Assignee: Akash R Nilugal
>            Priority: Minor
>             Fix For: 1.3.0
>
>         Attachments: dest.csv
>
>          Time Spent: 2h 50m
>  Remaining Estimate: 0h
>
> steps:
> {color:#333333}1) create table zerorows_part (c1 string,c2 int,c3 string,c5 string) STORED BY 'carbondata' TBLPROPERTIES('DICTIONARY_INCLUDE'='C2','NO_INVERTED_INDEX'='C2'){color}
> {color:#333333}2){color}{color:#333333}LOAD DATA LOCAL INPATH '$filepath/dest.csv' INTO table zerorows_part OPTIONS('delimiter'=',','fileheader'='c1,c2,c3,c5'){color}
> {color:#333333}3){color}{color:#333333}select c2 from zerorows_part where c2 is null{color}
>  
> *Previous exception in task: java.util.concurrent.ExecutionException: java.lang.ArrayIndexOutOfBoundsException: 0*
>     *org.apache.carbondata.core.scan.processor.AbstractDataBlockIterator.updateScanner(AbstractDataBlockIterator.java:136)*
>     *org.apache.carbondata.core.scan.processor.impl.DataBlockIteratorImpl.processNextBatch(DataBlockIteratorImpl.java:64)*
>     *org.apache.carbondata.core.scan.result.iterator.VectorDetailQueryResultIterator.processNextBatch(VectorDetailQueryResultIterator.java:46)*
>     *org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.nextBatch(VectorizedCarbonRecordReader.java:283)*
>     *org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.nextKeyValue(VectorizedCarbonRecordReader.java:171)*
>     *org.apache.carbondata.spark.rdd.CarbonScanRDD$$anon$1.hasNext(CarbonScanRDD.scala:370)*
>     *org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown Source)*
>     *org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)*
>     *org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)*
>     *org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)*
>     *org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234)*
>     *org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228)*
>     *org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)*
>     *org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)*
>     *org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)*
>     *org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)*
>     *org.apache.spark.rdd.RDD.iterator(RDD.scala:287)*
>     *org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)*
>     *org.apache.spark.scheduler.Task.run(Task.scala:108)*
>     *org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)*
>     *java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)*
>     *java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)*
>     *java.lang.Thread.run(Thread.java:748)*
>     *at org.apache.spark.TaskContextImpl.invokeListeners(TaskContextImpl.scala:138)*
>     *at org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:116)*
>     *at org.apache.spark.scheduler.Task.run(Task.scala:118)*
>     *at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)*
>     *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)*
>  
>  
> {color:#333333}[^dest.csv]{color}
> {color:#333333} {color}
>  
>  
>  
> **

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