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https://issues.apache.org/jira/browse/SPARK-44486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-44486:
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Description:
Implement PyArrow `self_destruct` feature for `toPandas`
To make the Spark configuration
`spark.sql.execution.arrow.pyspark.selfDestruct.enabled` be used to enable
PyArrow’s `self_destruct` feature in Spark Connect, which can save memory when
creating a Pandas DataFrame via `toPandas` by freeing Arrow-allocated memory
while building the Pandas DataFrame.
was:
Implement PyArrow `self_destruct` feature for `toPandas`
Now the Spark configuration
`spark.sql.execution.arrow.pyspark.selfDestruct.enabled` can be used to enable
PyArrow’s `self_destruct` feature in Spark Connect, which can save memory when
creating a Pandas DataFrame via `toPandas` by freeing Arrow-allocated memory
while building the Pandas DataFrame.
> Implement PyArrow `self_destruct` feature for `toPandas`
> --------------------------------------------------------
>
> Key: SPARK-44486
> URL: https://issues.apache.org/jira/browse/SPARK-44486
> Project: Spark
> Issue Type: Improvement
> Components: Connect, PySpark
> Affects Versions: 4.0.0
> Reporter: Xinrong Meng
> Priority: Major
>
> Implement PyArrow `self_destruct` feature for `toPandas`
> To make the Spark configuration
> `spark.sql.execution.arrow.pyspark.selfDestruct.enabled` be used to enable
> PyArrow’s `self_destruct` feature in Spark Connect, which can save memory
> when creating a Pandas DataFrame via `toPandas` by freeing Arrow-allocated
> memory while building the Pandas DataFrame.
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