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From "Sanoj MG (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CARBONDATA-888) Dictionary include / exclude option in dataframe writer
Date Sat, 08 Apr 2017 21:28:41 GMT

    [ https://issues.apache.org/jira/browse/CARBONDATA-888?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15961952#comment-15961952
] 

Sanoj MG commented on CARBONDATA-888:
-------------------------------------

Can this be assigned to me, I have already made the code changes and would like to create
a pr.

> 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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