[jira] [Commented] (CARBONDATA-868) Select query on decimal datatype is not working fine after adding decimal column using alter

[Akash R Nilugal (Jira)]

    [ https://issues.apache.org/jira/browse/CARBONDATA-868?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15974128#comment-15974128 ]

Srigopal Mohanty commented on CARBONDATA-868:
---------------------------------------------

Tried the same sample sql provided, in the SparkSQL context, executed as expected, altered the table.

Can you please provide more details, where the error is coming.

> Select query on decimal datatype is not working fine after adding decimal column using alter
> --------------------------------------------------------------------------------------------
>
>                 Key: CARBONDATA-868
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-868
>             Project: CarbonData
>          Issue Type: Bug
>    Affects Versions: 1.1.0-incubating
>         Environment: Spark2.1
>            Reporter: SWATI RAO
>         Attachments: 2000_UniqData.csv
>
>
> 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(36,10),Double_COLUMN1 double, Double_COLUMN2 double,INTEGER_COLUMN1 int) STORED BY 'org.apache.carbondata.format' TBLPROPERTIES ("TABLE_BLOCKSIZE"= "256 MB");
> LOAD DATA INPATH 'HDFS_URL/BabuStore/Data/uniqdata/2000_UniqData.csv' into table uniqdata OPTIONS('DELIMITER'=',' , 'QUOTECHAR'='"','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');
> ALTER TABLE uniqdata RENAME TO uniqdata1;
> alter table uniqdata1 add columns(msrField decimal(5,2))TBLPROPERTIES('DEFAULT.VALUE.msrfield'= '123.45');
> 0: jdbc:hive2://192.168.2.126:10000> select msrField from uniqdata1;
> Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 48.0 failed 1 times, most recent failure: Lost task 0.0 in stage 48.0 (TID 1041, localhost, executor driver): java.lang.ArrayIndexOutOfBoundsException: 4186
> at org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.putInt(OnHeapColumnVector.java:202)
> at org.apache.spark.sql.execution.vectorized.ColumnVector.putDecimal(ColumnVector.java:608)
> at org.apache.carbondata.spark.vectorreader.ColumnarVectorWrapper.putDecimal(ColumnarVectorWrapper.java:58)
> at org.apache.carbondata.spark.vectorreader.ColumnarVectorWrapper.putDecimals(ColumnarVectorWrapper.java:64)
> at org.apache.carbondata.core.scan.collector.impl.RestructureBasedVectorResultCollector.fillDataForNonExistingMeasures(RestructureBasedVectorResultCollector.java:202)
> at org.apache.carbondata.core.scan.collector.impl.RestructureBasedVectorResultCollector.collectVectorBatch(RestructureBasedVectorResultCollector.java:98)
> 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:246)
> at org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.nextKeyValue(VectorizedCarbonRecordReader.java:140)
> at org.apache.carbondata.spark.rdd.CarbonScanRDD$$anon$1.hasNext(CarbonScanRDD.scala:222)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown Source)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$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:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace: (state=,code=0)

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