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From "Ravindra Pesala (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (CARBONDATA-465) Spark streaming dataframe support
Date Sun, 11 Dec 2016 04:01:01 GMT

     [ https://issues.apache.org/jira/browse/CARBONDATA-465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ravindra Pesala resolved CARBONDATA-465.
----------------------------------------
    Resolution: Fixed

> Spark streaming dataframe support
> ---------------------------------
>
>                 Key: CARBONDATA-465
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-465
>             Project: CarbonData
>          Issue Type: Improvement
>          Components: data-load
>    Affects Versions: 1.0.0-incubating
>            Reporter: WilliamZhu
>            Assignee: WilliamZhu
>            Priority: Minor
>             Fix For: 1.0.0-incubating
>
>          Time Spent: 5.5h
>  Remaining Estimate: 0h
>
> Carbondata-1.0.0 support load data with spark data frame api. There is a limit that kettle
is still required since DataFrameLoaderRDD still depends on kettle. We provide NewDataFrameLoaderRDD
 to load data with new flow .
> Also,we discovered some bugs:
> 1. CarbonMetastoreCatalog.createTableFromThrift
> ```
> /**
>      * schemaFilePath starts with file:// will not create meta files successfully
>      * while thriftWriter will have no complains.
>      * This will cause some weired error eg. No table found.
>      */
>     val thriftWriter = new ThriftWriter(schemaFilePath, false)
>     thriftWriter.open()
>     thriftWriter.write(thriftTableInfo)
>     thriftWriter.close()
> ``` 
> 2. There are some exceptions raised  even when you have set useKettle to false.



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