[jira] [Created] (CARBONDATA-2580) MV Datamap - Cannot create two MV`s with same name in different databases.

[Akash R Nilugal (Jira)]

Prasanna Ravichandran created CARBONDATA-2580:
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             Summary: MV Datamap - Cannot create two MV`s with same name in different databases.
                 Key: CARBONDATA-2580
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-2580
             Project: CarbonData
          Issue Type: Bug
          Components: data-load, data-query
         Environment: 3 Node Opensource ANT cluster
            Reporter: Prasanna Ravichandran


Cannot create two MV`s with same name in different databases. If you create a MV datamap say MV1 in default database, then you could not use the same name(MV1) for defining another MV datamap in any other database.

Test queries: 

scala> carbon.sql("create table ratish(id int, name string) stored by 'carbondata'").show(200,false)
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scala> carbon.sql("insert into ratish select 1,'ram'").show(200,false)
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scala> carbon.sql("insert into ratish select 2,'ravi'").show(200,false)
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scala> carbon.sql("insert into ratish select 3,'raghu'").show(200,false)
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scala> carbon.sql("create datamap radi using 'mv' as select name from ratish").show(200,false)
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scala> carbon.sql("rebuild datamap radi").show(200,false)
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scala> carbon.sql("explain select name from ratish").show(200,false)
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|plan |
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|== CarbonData Profiler ==
Table Scan on radi_table
 - total blocklets: 1
 - filter: none
 - pruned by Main DataMap
 - skipped blocklets: 0
 |
|== Physical Plan ==
*Project [ratish_name#13790 AS name#13818]
+- *BatchedScan CarbonDatasourceHadoopRelation [ Database name :default, Table name :radi_table, Schema :Some(StructType(StructField(ratish_name,StringType,true))) ] default.radi_table[ratish_name#13790]|
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


scala> carbon.sql("create database rad").show(200,false)
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scala> carbon.sql("use rad").show(200,false)
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scala> carbon.sql("create table ratish(id int, name string) stored by 'carbondata'").show(200,false)
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scala> carbon.sql("insert into ratish select 1,'ram'").show(200,false)
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scala> carbon.sql("insert into ratish select 2,'ravi'").show(200,false)
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scala> carbon.sql("insert into ratish select 3,'raghu'").show(200,false)
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scala> carbon.sql("create datamap radi using 'mv' as select name from ratish").show(200,false)
java.io.IOException: DataMap with name radi already exists in storage
 at org.apache.carbondata.core.metadata.schema.table.DiskBasedDMSchemaStorageProvider.saveSchema(DiskBasedDMSchemaStorageProvider.java:70)
 at org.apache.carbondata.core.datamap.DataMapStoreManager.saveDataMapSchema(DataMapStoreManager.java:158)
 at org.apache.carbondata.mv.datamap.MVHelper$.createMVDataMap(MVHelper.scala:115)
 at org.apache.carbondata.mv.datamap.MVDataMapProvider.initMeta(MVDataMapProvider.scala:53)
 at org.apache.spark.sql.execution.command.datamap.CarbonCreateDataMapCommand.processMetadata(CarbonCreateDataMapCommand.scala:118)
 at org.apache.spark.sql.execution.command.AtomicRunnableCommand.run(package.scala:90)
 at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$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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