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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2022/02/10 04:51:00 UTC
[jira] [Commented] (SPARK-38161) when clean data hope to spilt one dataframe or dataset to two dataframe
[ https://issues.apache.org/jira/browse/SPARK-38161?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17489956#comment-17489956 ]
Hyukjin Kwon commented on SPARK-38161:
--------------------------------------
I guess you want an API like partition. Even if we implement this within Spark, the actual implementation would be exactly same as:
{code}
df1= dataframe.filter("coloumn=null")
df2= dataframe.filter("coloumn=!null")
{code}
> when clean data hope to spilt one dataframe or dataset to two dataframe
> ------------------------------------------------------------------------
>
> Key: SPARK-38161
> URL: https://issues.apache.org/jira/browse/SPARK-38161
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.2.1
> Reporter: gaokui
> Priority: Major
>
> when I am processing data clean, I meet such scene.
> one coloumn need judge by empy or null condition.
> so I do it right now similar code as following:
> df1= dataframe.filter("coloumn=null")
> df2= dataframe.filter("coloumn=!null")
> and then write df1 and df2 into hdfs parquet file.
> but when i have thousand condition. every job need more stage.
> I hope dataframe can filter by one condition once and not twice. and that can generate two dataframe.
>
>
>
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