[jira] [Created] (CARBONDATA-2199) Exception occurs when change the datatype of measure having sort_column

["Jatin (JIRA)" <ji...@apache.org>]

Jatin created CARBONDATA-2199:
---------------------------------

             Summary: Exception occurs when change the datatype of measure having sort_column
                 Key: CARBONDATA-2199
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-2199
             Project: CarbonData
          Issue Type: Bug
          Components: spark-integration
    Affects Versions: 1.4.0
         Environment: spark 2.1 
            Reporter: Jatin
            Assignee: Jatin
             Fix For: 1.4.0


Use a measure columns in sort_column and change the datatype of that columns

Steps to replicate

CREATE TABLE non_partitiontable7(id Int,vin String,phonenumber Long,area String,salary Int, country String,logdate date)STORED BY 'org.apache.carbondata.format'TBLPROPERTIES('SORT_COLUMNS'='id,vin','sort_scope'='global_sort');
insert into non_partitiontable7 select 1,'A42151477823',125371344,'OutSpace',10000,'China','2017-02-12';
insert into non_partitiontable7 select 1,'Y42151477823',125371344,'midasia',10000,'China','2017-02-13';
insert into non_partitiontable7 select 1,'B42151477823',125371346,'OutSpace',10000,'US','2018-02-12';
insert into non_partitiontable7 select 1,'C42151477823',125371348,'InnerSpace',10001,'UK','2019-02-12';
select * from non_partitiontable7;
alter table non_partitiontable7 add columns (c1 int);
select * from non_partitiontable7;
alter table non_partitiontable7 change id id bigint;
select * from non_partitiontable7;

Exception StackTrace

Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 16.0 failed 4 times, most recent failure: Lost task 1.3 in stage 16.0 (TID 80, BLR1000023654, executor 3): java.lang.IllegalArgumentException: Wrong length: 4, expected 8
 at org.apache.carbondata.core.util.ByteUtil.explainWrongLengthOrOffset(ByteUtil.java:581)
 at org.apache.carbondata.core.util.ByteUtil.toLong(ByteUtil.java:553)
 at org.apache.carbondata.core.util.DataTypeUtil.getDataBasedOnRestructuredDataType(DataTypeUtil.java:847)
 at org.apache.carbondata.core.datastore.chunk.store.impl.unsafe.UnsafeVariableLengthDimesionDataChunkStore.fillRow(UnsafeVariableLengthDimesionDataChunkStore.java:181)
 at org.apache.carbondata.core.datastore.chunk.impl.VariableLengthDimensionDataChunk.fillConvertedChunkData(VariableLengthDimensionDataChunk.java:112)
 at org.apache.carbondata.core.scan.result.AbstractScannedResult.fillColumnarNoDictionaryBatch(AbstractScannedResult.java:256)
 at org.apache.carbondata.core.scan.collector.impl.DictionaryBasedVectorResultCollector.scanAndFillResult(DictionaryBasedVectorResultCollector.java:163)
 at org.apache.carbondata.core.scan.collector.impl.RestructureBasedVectorResultCollector.collectVectorBatch(RestructureBasedVectorResultCollector.java:128)
 at org.apache.carbondata.core.scan.processor.impl.DataBlockIteratorImpl.processNextBatch(DataBlockIteratorImpl.java:65)
 at org.apache.carbondata.core.scan.result.iterator.VectorDetailQueryResultIterator.processNextBatch(VectorDetailQueryResultIterator.java:46)
 at org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.nextBatch(VectorizedCarbonRecordReader.java:283)
 at org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.nextKeyValue(VectorizedCarbonRecordReader.java:171)
 at org.apache.carbondata.spark.rdd.CarbonScanRDD$$anon$1.hasNext(CarbonScanRDD.scala:402)
 at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown Source)
 at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
 at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
 at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
 at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234)
 at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228)
 at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
 at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
 at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
 at org.apache.spark.scheduler.Task.run(Task.scala:108)
 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
 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)

 



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)