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Posted to issues@spark.apache.org by "Narine Kokhlikyan (JIRA)" <ji...@apache.org> on 2016/01/04 22:52:39 UTC
[jira] [Updated] (SPARK-12629) SparkR: DataFrame's saveAsTable
method has issues with the signature and HiveContext
[ https://issues.apache.org/jira/browse/SPARK-12629?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Narine Kokhlikyan updated SPARK-12629:
--------------------------------------
Description:
There are several issues with the DataFrame's saveAsTable method in SparkR. Here is a summary of some of them. Hope this will help to fix the issues.
1. According to SparkR's saveAsTable(...) documentation, we can call the "saveAsTable(df, "myfile")" in order to store the dataframe.
However, this signature isn't working. It seems that "source" and "mode" are forced according to signature.
2. Within the method saveAsTable(...) it tries to retrieve the SQL context and tries to create/initialize source as parquet, but this is also failing because the context has to be Hive Context. Based on the error messages I see.
3. In general the method fails when I try to call it with sqlContext
4. Also, it seems that SQL DataFrame.saveAsTable is deprecated, we could use df.write.saveAsTable(...) instead ...
[~shivaram] [~sunrui] [~felixcheung]
was:
There are several issues with the DataFrame's saveAsTable method in SparkR. Here is a summary of some of them. Hope this will help to fix the issues.
1. According to SparkR's saveAsTable(...) documentation, we can call the "saveAsTable(df, "myfile")" in order to store the dataframe.
However, this signature isn't working. It seems that "source" and "mode" are forced according to signature.
2. Within the method saveAsTable(...) it tries to retrieve the SQL context and tries to create/initialize source as parquet, but this is also failing because the context has to be hiveContext. Based on the error messages I see.
3. In general the method fails when I try to call it with sqlContext
4. Also, it seems that SQL DataFrame.saveAsTable is deprecated, we could use df.write.saveAsTable(...) instead ...
[~shivaram] [~sunrui] [~felixcheung]
> SparkR: DataFrame's saveAsTable method has issues with the signature and HiveContext
> -------------------------------------------------------------------------------------
>
> Key: SPARK-12629
> URL: https://issues.apache.org/jira/browse/SPARK-12629
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Reporter: Narine Kokhlikyan
>
> There are several issues with the DataFrame's saveAsTable method in SparkR. Here is a summary of some of them. Hope this will help to fix the issues.
> 1. According to SparkR's saveAsTable(...) documentation, we can call the "saveAsTable(df, "myfile")" in order to store the dataframe.
> However, this signature isn't working. It seems that "source" and "mode" are forced according to signature.
> 2. Within the method saveAsTable(...) it tries to retrieve the SQL context and tries to create/initialize source as parquet, but this is also failing because the context has to be Hive Context. Based on the error messages I see.
> 3. In general the method fails when I try to call it with sqlContext
> 4. Also, it seems that SQL DataFrame.saveAsTable is deprecated, we could use df.write.saveAsTable(...) instead ...
> [~shivaram] [~sunrui] [~felixcheung]
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