[jira] [Commented] (SPARK-38988) Pandas API - "PerformanceWarning: DataFrame is highly fragmented." get printed many times.

2022-04-27 Thread Apache Spark (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-38988?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17528933#comment-17528933
 ] 

Apache Spark commented on SPARK-38988:
--

User 'xinrong-databricks' has created a pull request for this issue:
https://github.com/apache/spark/pull/36367

> Pandas API - "PerformanceWarning: DataFrame is highly fragmented." get 
> printed many times. 
> ---
>
> Key: SPARK-38988
> URL: https://issues.apache.org/jira/browse/SPARK-38988
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 3.3.0, 3.4.0
>Reporter: Bjørn Jørgensen
>Priority: Major
> Attachments: Untitled.html, info.txt, warning printed.txt
>
>
> I add a file and a notebook with the info msg I get when I run df.info()
> Spark master build from 13.04.22.
> df.shape
> (763300, 224)



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[jira] [Commented] (SPARK-38988) Pandas API - "PerformanceWarning: DataFrame is highly fragmented." get printed many times.

2022-04-26 Thread Xinrong Meng (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-38988?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17528459#comment-17528459
 ] 

Xinrong Meng commented on SPARK-38988:
--

Thank you for raising that!

I will try muting the warnings for now.

> Pandas API - "PerformanceWarning: DataFrame is highly fragmented." get 
> printed many times. 
> ---
>
> Key: SPARK-38988
> URL: https://issues.apache.org/jira/browse/SPARK-38988
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 3.3.0, 3.4.0
>Reporter: Bjørn Jørgensen
>Priority: Major
> Attachments: Untitled.html, info.txt, warning printed.txt
>
>
> I add a file and a notebook with the info msg I get when I run df.info()
> Spark master build from 13.04.22.
> df.shape
> (763300, 224)



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[jira] [Commented] (SPARK-38988) Pandas API - "PerformanceWarning: DataFrame is highly fragmented." get printed many times.

2022-04-25 Thread Jira


[ 
https://issues.apache.org/jira/browse/SPARK-38988?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17527432#comment-17527432
 ] 

Bjørn Jørgensen commented on SPARK-38988:
-

I add a new fil "warning printed.txt" it show that it depends one the dataframe 
size. 

So if you have a dataframe 
Int64Index: 34 entries, 0 to 33
Data columns (total 37 columns):

The warning won`t get printed.

If the datafreme is 
Int64Index: 109 entries, 0 to 108
Data columns (total 112 columns):

Then the warning is printed 13 times.





> Pandas API - "PerformanceWarning: DataFrame is highly fragmented." get 
> printed many times. 
> ---
>
> Key: SPARK-38988
> URL: https://issues.apache.org/jira/browse/SPARK-38988
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 3.3.0, 3.4.0
>Reporter: Bjørn Jørgensen
>Priority: Major
> Attachments: Untitled.html, info.txt, warning printed.txt
>
>
> I add a file and a notebook with the info msg I get when I run df.info()
> Spark master build from 13.04.22.
> df.shape
> (763300, 224)



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[jira] [Commented] (SPARK-38988) Pandas API - "PerformanceWarning: DataFrame is highly fragmented." get printed many times.

2022-04-24 Thread Hyukjin Kwon (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-38988?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17527263#comment-17527263
 ] 

Hyukjin Kwon commented on SPARK-38988:
--

cc [~XinrongM]and [~itholic] FYI

> Pandas API - "PerformanceWarning: DataFrame is highly fragmented." get 
> printed many times. 
> ---
>
> Key: SPARK-38988
> URL: https://issues.apache.org/jira/browse/SPARK-38988
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 3.3.0, 3.4.0
>Reporter: Bjørn Jørgensen
>Priority: Major
> Attachments: Untitled.html, info.txt
>
>
> I add a file and a notebook with the info msg I get when I run df.info()
> Spark master build from 13.04.22.
> df.shape
> (763300, 224)



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