[jira] [Assigned] (SPARK-40309) Introduce sql_conf context manager for pyspark.sql
[
https://issues.apache.org/jira/browse/SPARK-40309?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-40309:
Assignee: Apache Spark
> Introduce sql_conf context manager for pyspark.sql
> --
>
> Key: SPARK-40309
> URL: https://issues.apache.org/jira/browse/SPARK-40309
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
>Affects Versions: 3.4.0
>Reporter: Xinrong Meng
>Assignee: Apache Spark
>Priority: Major
> Labels: release-notes
>
> That would simplify the control of Spark SQL configuration as below
> from
> {code:java}
> original_value = spark.conf.get("key")
> spark.conf.set("key", "value")
> ...
> spark.conf.set("key", original_value){code}
> to
> {code:java}
> with sql_conf({"key": "value"}):
> ...
> {code}
> [Here|https://github.com/apache/spark/blob/master/python/pyspark/pandas/utils.py#L490]
> is such a context manager is in Pandas API on Spark.
> We should introduce one in `pyspark.sql`, and deduplicate code if possible.
>
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[jira] [Assigned] (SPARK-40309) Introduce sql_conf context manager for pyspark.sql
[
https://issues.apache.org/jira/browse/SPARK-40309?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-40309:
Assignee: (was: Apache Spark)
> Introduce sql_conf context manager for pyspark.sql
> --
>
> Key: SPARK-40309
> URL: https://issues.apache.org/jira/browse/SPARK-40309
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
>Affects Versions: 3.4.0
>Reporter: Xinrong Meng
>Priority: Major
> Labels: release-notes
>
> That would simplify the control of Spark SQL configuration as below
> from
> {code:java}
> original_value = spark.conf.get("key")
> spark.conf.set("key", "value")
> ...
> spark.conf.set("key", original_value){code}
> to
> {code:java}
> with sql_conf({"key": "value"}):
> ...
> {code}
> [Here|https://github.com/apache/spark/blob/master/python/pyspark/pandas/utils.py#L490]
> is such a context manager is in Pandas API on Spark.
> We should introduce one in `pyspark.sql`, and deduplicate code if possible.
>
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