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https://issues.apache.org/jira/browse/SPARK-21488?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16988011#comment-16988011
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Ruslan Dautkhanov commented on SPARK-21488:
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[~zsxwing] any chance this can be added to Spark 3.0?
I can try to create a PR for this.. many of our users are still reporting this
as relevant
as this would streamline their code in many places .
We always have a good mix of Spark SQL and Spark API calls in many places,
and this would be a huge win for code readability.
> 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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