> select count fails when carbondata file is written through SDK and read through sparkfileformat for complex datatype map(struct->array->map)
> --------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: CARBONDATA-2979
> URL:
https://issues.apache.org/jira/browse/CARBONDATA-2979> Project: CarbonData
> Issue Type: Bug
> Components: file-format
> Affects Versions: 1.5.0
> Reporter: Rahul Singha
> Assignee: Manish Gupta
> Priority: Minor
> Fix For: 1.5.0
>
> Attachments: MapSchema_15_int.avsc
>
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> *Steps:*
> create carabondata and carbonindex file using SDK
> place the files in a hdfs location
> Read files using spark file format
> create table schema15_int using carbon location 'hdfs://hacluster/user/rahul/map/mapschema15_int';
> Select count(*) from schema15_int;
> *Actual Result:*
> Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 24.0 failed 4 times, most recent failure: Lost task 0.3 in stage 24.0 (TID 34, BLR1000014238, executor 3): java.io.IOException: All the files doesn't have same schema. Unsupported operation on nonTransactional table. Check logs.
> at org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.updateColumns(AbstractQueryExecutor.java:276)
> at org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getDataBlocks(AbstractQueryExecutor.java:234)
> at org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.initQuery(AbstractQueryExecutor.java:141)
> at org.apache.carbondata.core.scan.executor.impl.AbstractQueryExecutor.getBlockExecutionInfos(AbstractQueryExecutor.java:401)
> at org.apache.carbondata.core.scan.executor.impl.VectorDetailQueryExecutor.execute(VectorDetailQueryExecutor.java:44)
> at org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.initialize(VectorizedCarbonRecordReader.java:143)
> at org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:395)
> at org.apache.spark.sql.carbondata.execution.datasources.SparkCarbonFileFormat$$anonfun$buildReaderWithPartitionValues$2.apply(SparkCarbonFileFormat.scala:361)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:124)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:174)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown Source)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown Source)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
> at org.apache.spark.scheduler.Task.run(Task.scala:108)
> at org.apache.spark.executor.Executor$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)
Locked
