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Posted to issues@carbondata.apache.org by "Sanoj MG (JIRA)" <ji...@apache.org> on 2017/04/08 21:26:42 UTC

[jira] [Created] (CARBONDATA-888) Dictionary include / exclude option in dataframe writer

Sanoj MG created CARBONDATA-888:
-----------------------------------

             Summary: Dictionary include / exclude option in dataframe writer
                 Key: CARBONDATA-888
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-888
             Project: CarbonData
          Issue Type: Improvement
          Components: spark-integration
    Affects Versions: 1.2.0-incubating
         Environment: HDP 2.5, Spark 1.6
            Reporter: Sanoj MG
            Priority: Minor
             Fix For: 1.2.0-incubating


While creating a Carbondata table from dataframe, currently it is not possible to specify columns that needs to be included in or excluded from the dictionary. An option is required to specify it as below : 

df.write.format("carbondata")
  .option("tableName", "test")
  .option("compress","true")
  .option("dictionary_include","incol1,intcol2")
  .option("dictionary_exclude","stringcol1,stringcol2")
  .mode(SaveMode.Overwrite)
.save()

We have lot of integer columns that are dimensions, dataframe.save is used to quickly create tables instead of writing ddls, and it would be nice to have this feature to execute POCs.  


 
 



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