[jira] [Commented] (SPARK-31945) Make more cache enable for Python UDFs.

2020-06-09 Thread Apache Spark (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-31945?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17129951#comment-17129951
 ] 

Apache Spark commented on SPARK-31945:
--

User 'ueshin' has created a pull request for this issue:
https://github.com/apache/spark/pull/28774

> Make more cache enable for Python UDFs.
> ---
>
> Key: SPARK-31945
> URL: https://issues.apache.org/jira/browse/SPARK-31945
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 3.0.0
>Reporter: Takuya Ueshin
>Priority: Major
>
> Currently the cache manager doesn't use the cache for {{udf}} if the {{udf}} 
> is created again even if the functions is the same.
> {code:python}
> >>> func = lambda x: x
> >>> df = spark.range(1)
> >>> df.select(udf(func)("id")).cache()
> >>> df.select(udf(func)("id")).explain()
> == Physical Plan ==
> *(2) Project [pythonUDF0#14 AS (id)#12]
> +- BatchEvalPython [(id#0L)], [pythonUDF0#14]
>  +- *(1) Range (0, 1, step=1, splits=12)
> {code}
>  



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[jira] [Commented] (SPARK-31945) Make more cache enable for Python UDFs.

2020-06-09 Thread Apache Spark (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-31945?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17129948#comment-17129948
 ] 

Apache Spark commented on SPARK-31945:
--

User 'ueshin' has created a pull request for this issue:
https://github.com/apache/spark/pull/28774

> Make more cache enable for Python UDFs.
> ---
>
> Key: SPARK-31945
> URL: https://issues.apache.org/jira/browse/SPARK-31945
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 3.0.0
>Reporter: Takuya Ueshin
>Priority: Major
>
> Currently the cache manager doesn't use the cache for {{udf}} if the {{udf}} 
> is created again even if the functions is the same.
> {code:python}
> >>> func = lambda x: x
> >>> df = spark.range(1)
> >>> df.select(udf(func)("id")).cache()
> >>> df.select(udf(func)("id")).explain()
> == Physical Plan ==
> *(2) Project [pythonUDF0#14 AS (id)#12]
> +- BatchEvalPython [(id#0L)], [pythonUDF0#14]
>  +- *(1) Range (0, 1, step=1, splits=12)
> {code}
>  



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