[jira] [Created] (CARBONDATA-2534) MV Dataset - MV creation is not working with the substring()

[Akash R Nilugal (Jira)]

Prasanna Ravichandran created CARBONDATA-2534:
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             Summary: MV Dataset - MV creation is not working with the substring()
                 Key: CARBONDATA-2534
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-2534
             Project: CarbonData
          Issue Type: Bug
          Components: data-query
         Environment: 3 node opensource ANT cluster
            Reporter: Prasanna Ravichandran
         Attachments: MV_substring.docx

MV creation is not working with the sub string function. We are getting the spark.sql.AnalysisException while trying to create a MV with the substring and aggregate function. 

*Spark -shell test queries:*

 scala> carbon.sql("create datamap mv_substr using 'mv' as select sum(salary),substring(empname,2,5),designation from originTable group by substring(empname,2,5),designation").show(200,false)
*org.apache.spark.sql.AnalysisException: Cannot create a table having a column whose name contains commas in Hive metastore. Table: `default`.`mv_substr_table`; Column: substring_empname,_2,_5;*
 *at* org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$verifyDataSchema$2.apply(HiveExternalCatalog.scala:150)
 at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$verifyDataSchema$2.apply(HiveExternalCatalog.scala:148)
 at scala.collection.immutable.List.foreach(List.scala:381)
 at org.apache.spark.sql.hive.HiveExternalCatalog.org$apache$spark$sql$hive$HiveExternalCatalog$$verifyDataSchema(HiveExternalCatalog.scala:148)
 at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$doCreateTable$1.apply$mcV$sp(HiveExternalCatalog.scala:222)
 at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$doCreateTable$1.apply(HiveExternalCatalog.scala:216)
 at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$doCreateTable$1.apply(HiveExternalCatalog.scala:216)
 at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
 at org.apache.spark.sql.hive.HiveExternalCatalog.doCreateTable(HiveExternalCatalog.scala:216)
 at org.apache.spark.sql.catalyst.catalog.ExternalCatalog.createTable(ExternalCatalog.scala:110)
 at org.apache.spark.sql.catalyst.catalog.SessionCatalog.createTable(SessionCatalog.scala:316)
 at org.apache.spark.sql.execution.command.CreateDataSourceTableCommand.run(createDataSourceTables.scala:119)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:67)
 at org.apache.spark.sql.Dataset.<init>(Dataset.scala:183)
 at org.apache.spark.sql.CarbonSession$$anonfun$sql$1.apply(CarbonSession.scala:108)
 at org.apache.spark.sql.CarbonSession$$anonfun$sql$1.apply(CarbonSession.scala:97)
 at org.apache.spark.sql.CarbonSession.withProfiler(CarbonSession.scala:155)
 at org.apache.spark.sql.CarbonSession.sql(CarbonSession.scala:95)
 at org.apache.spark.sql.execution.command.table.CarbonCreateTableCommand.processMetadata(CarbonCreateTableCommand.scala:126)
 at org.apache.spark.sql.execution.command.MetadataCommand.run(package.scala:68)
 at org.apache.carbondata.mv.datamap.MVHelper$.createMVDataMap(MVHelper.scala:103)
 at org.apache.carbondata.mv.datamap.MVDataMapProvider.initMeta(MVDataMapProvider.scala:53)
 at org.apache.spark.sql.execution.command.datamap.CarbonCreateDataMapCommand.processMetadata(CarbonCreateDataMapCommand.scala:118)
 at org.apache.spark.sql.execution.command.AtomicRunnableCommand.run(package.scala:90)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:67)
 at org.apache.spark.sql.Dataset.<init>(Dataset.scala:183)
 at org.apache.spark.sql.CarbonSession$$anonfun$sql$1.apply(CarbonSession.scala:108)
 at org.apache.spark.sql.CarbonSession$$anonfun$sql$1.apply(CarbonSession.scala:97)
 at org.apache.spark.sql.CarbonSession.withProfiler(CarbonSession.scala:155)
 at org.apache.spark.sql.CarbonSession.sql(CarbonSession.scala:95)
 ... 48 elided



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