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From "Ravindra Pesala (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (CARBONDATA-909) Single pass option in dataframe writer
Date Mon, 08 May 2017 18:00:06 GMT

     [ https://issues.apache.org/jira/browse/CARBONDATA-909?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ravindra Pesala resolved CARBONDATA-909.
----------------------------------------
       Resolution: Fixed
    Fix Version/s:     (was: 1.1.1)
                       (was: 1.2.0)
                   1.1.0

> Single pass option in dataframe writer
> --------------------------------------
>
>                 Key: CARBONDATA-909
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-909
>             Project: CarbonData
>          Issue Type: Bug
>          Components: spark-integration
>    Affects Versions: 1.2.0, 1.1.1
>         Environment: HDP 2.5 / Spark 1.6
>            Reporter: Sanoj MG
>            Assignee: Sanoj MG
>            Priority: Minor
>             Fix For: 1.1.0
>
>          Time Spent: 1.5h
>  Remaining Estimate: 0h
>
> While creating a Carbondata table from dataframe, currently it is not possible to specify
single pass load in Spark 1.6. An option is required to specify it as below :
> df.write.format("carbondata")
> .option("tableName", "test")
> .option("compress","true")
> .option("single_pass","true")
> .mode(SaveMode.Overwrite)
> .save()



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