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https://issues.apache.org/jira/browse/SPARK-27870?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Weichen Xu updated SPARK-27870:
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Summary: Flush each batch for python UDF (was: Flush each batch for pandas
UDF)
> Flush each batch for python UDF
> -------------------------------
>
> Key: SPARK-27870
> URL: https://issues.apache.org/jira/browse/SPARK-27870
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SQL
> Affects Versions: 3.0.0
> Reporter: Weichen Xu
> Priority: Major
>
> Flush each batch for pandas UDF.
> This could improve performance when multiple pandas UDF plans are pipelined.
> When batch being flushed in time, downstream pandas UDFs will get pipelined
> as soon as possible, and pipeline will help hide the donwstream UDFs
> computation time. For example:
> When the first UDF start computing on batch-3, the second pipelined UDF can
> start computing on batch-2, and the third pipelined UDF can start computing
> on batch-1.
> If we do not flush each batch in time, the donwstream UDF's pipeline will lag
> behind too much, which may increase the total processing time.
>
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