[jira] [Resolved] (SPARK-38812) when i clean data ,I hope one rdd spill two rdd according clean data rule

2022-06-13 Thread Sean R. Owen (Jira)


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https://issues.apache.org/jira/browse/SPARK-38812?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean R. Owen resolved SPARK-38812.
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Resolution: Invalid

> when i clean data ,I hope one rdd spill two rdd according clean data rule
> -
>
> Key: SPARK-38812
> URL: https://issues.apache.org/jira/browse/SPARK-38812
> Project: Spark
>  Issue Type: New Feature
>  Components: Spark Core
>Affects Versions: 3.2.1
>Reporter: gaokui
>Priority: Major
>
> when id do clean data,one rdd according one value(>or <) filter data, and 
> then generate two different set,one is error data file, another is errorless 
> data file.
> Now I use filter, but this filter must have two spark dag job, that cost too 
> much.
> exactly some code like iterator.span(preidicate) and then return one 
> tuple(iter1,iter2)
> one dataset will be spilted tow dataset in one rule data clean progress.
> i hope compute once not twice.



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[jira] [Resolved] (SPARK-38812) when i clean data ,I hope one rdd spill two rdd according clean data rule

2022-04-16 Thread Sean R. Owen (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-38812?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean R. Owen resolved SPARK-38812.
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Resolution: Invalid

I can't make out what this is reporting or asking.

> when i clean data ,I hope one rdd spill two rdd according clean data rule
> -
>
> Key: SPARK-38812
> URL: https://issues.apache.org/jira/browse/SPARK-38812
> Project: Spark
>  Issue Type: New Feature
>  Components: Spark Core
>Affects Versions: 3.2.1
>Reporter: gaokui
>Priority: Major
>
> when id do clean data,one rdd according one value(>or <) filter data, and 
> then generate two different set,one is error data file, another is errorless 
> data file.
> Now I use filter, but this filter must have two spark dag job, that cost too 
> much.
> exactly some code like iterator.span(preidicate) and then return one 
> tuple(iter1,iter2)



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