Lior-AI opened a new issue #4206:
URL: https://github.com/apache/carbondata/issues/4206


   I am running spark in EMR
   
   > Release label:emr-5.24.1
   Hadoop distribution:Amazon 2.8.5
   Applications:
        Hive 2.3.4, Pig 0.17.0, Hue 4.4.0, Flink 1.8.0, Spark 2.4.2, Presto 
0.219, JupyterHub 0.9.6
   
   Jar complied with:
   >apache-carbondata:2.2.0
   spark:2.4.5
   hadoop:2.8.3
   
   When trying to create a table like this:
   
   ```
   CREATE TABLE IF NOT EXISTS will_not_work(
   timestamp string,
   name string
   )
   PARTITIONED BY (dt string, hr string)
   STORED AS carbondata
   LOCATION 's3a://my-bucket/CarbonDataTests/will_not_work
   ```
   
   I get the following error:
   ```
   org.apache.carbondata.common.exceptions.sql.MalformedCarbonCommandException: 
Partition is not supported for external table
     at 
org.apache.spark.sql.parser.CarbonSparkSqlParserUtil$.buildTableInfoFromCatalogTable(CarbonSparkSqlParserUtil.scala:219)
     at 
org.apache.spark.sql.CarbonSource$.createTableInfo(CarbonSource.scala:235)
     at 
org.apache.spark.sql.CarbonSource$.createTableMeta(CarbonSource.scala:394)
     at 
org.apache.spark.sql.execution.command.table.CarbonCreateDataSourceTableCommand.processMetadata(CarbonCreateDataSourceTableCommand.scala:69)
     at 
org.apache.spark.sql.execution.command.MetadataCommand$$anonfun$run$1.apply(package.scala:137)
     at 
org.apache.spark.sql.execution.command.MetadataCommand$$anonfun$run$1.apply(package.scala:137)
     at 
org.apache.spark.sql.execution.command.Auditable$class.runWithAudit(package.scala:118)
     at 
org.apache.spark.sql.execution.command.MetadataCommand.runWithAudit(package.scala:134)
     at 
org.apache.spark.sql.execution.command.MetadataCommand.run(package.scala:137)
     at 
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
     at 
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
     at 
org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
     at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
     at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
     at org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3364)
     at 
org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
     at 
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
     at 
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
     at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3363)
     at org.apache.spark.sql.Dataset.<init>(Dataset.scala:194)
     at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:79)
     at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:643)
     ... 64 elided
   ```


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