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From "Ruslan Dautkhanov (Jira)" <j...@apache.org>
Subject [jira] [Reopened] (SPARK-21488) Make saveAsTable() and createOrReplaceTempView() return dataframe of created table/ created view
Date Wed, 04 Dec 2019 17:21:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-21488?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ruslan Dautkhanov reopened SPARK-21488:
---------------------------------------

> Make saveAsTable() and createOrReplaceTempView() return dataframe of created table/ created
view
> ------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-21488
>                 URL: https://issues.apache.org/jira/browse/SPARK-21488
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Ruslan Dautkhanov
>            Priority: Minor
>              Labels: bulk-closed
>
> It would be great to make saveAsTable() return dataframe of created table, 
> so you could pipe result further as for example
> {code}
> mv_table_df = (sqlc.sql('''
>         SELECT ...
>         FROM 
>     ''')
>         .write.format("parquet").mode("overwrite")
>         .saveAsTable('test.parquet_table')
>         .createOrReplaceTempView('mv_table')
>     )
> {code}
> ... Above code returns now expectedly:
> {noformat}
> AttributeError: 'NoneType' object has no attribute 'createOrReplaceTempView'
> {noformat}
> If this is implemented, we can skip a step like
> {code}
> sqlc.sql('SELECT * FROM test.parquet_table').createOrReplaceTempView('mv_table')
> {code}
> We have this pattern very frequently. 
> Further improvement can be made if createOrReplaceTempView also returns dataframe object,
so in one pipeline of functions 
> we can 
> - create an external table 
> - create a dataframe reference to this newly created for SparkSQL and as a Spark variable.



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