[
https://issues.apache.org/jira/browse/SPARK-50569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-50569:
-----------------------------------
Labels: pull-request-available (was: )
> Clearing dataframes/views persisted in isolated Connect session
> ---------------------------------------------------------------
>
> Key: SPARK-50569
> URL: https://issues.apache.org/jira/browse/SPARK-50569
> Project: Spark
> Issue Type: Improvement
> Components: Connect
> Affects Versions: 3.5.3
> Reporter: Peter Andrew
> Priority: Minor
> Labels: pull-request-available
>
> With Spark Connect, `sparkSession.catalog.clearCache` clears all dataframes
> that have been persisted in the Spark Connect server, including those
> persisted by different isolated sessions.
> Similarly, views createdby `DataFrame.createOrReplaceTempView` are not
> removed after an isolated session is terminated, even though the
> documentation might be interpreted as though it should:
> > The lifetime of this temporary table is tied to the
> > [{{SparkSession}}|https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.SparkSession.html#pyspark.sql.SparkSession]
> > that was used to create this
> > [{{DataFrame}}|https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame].
> It'd be very useful to be able to do the following:
> - When calling `clearCache`, controlling whether to clear dataframes
> persisted in the current isolated session only, or all dataframes.
> - Configuring the Spark Connect server to clean up all persisted
> dataframes/views from an isolated session when it is terminated.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
