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Posted to issues@spark.apache.org by "L. C. Hsieh (Jira)" <ji...@apache.org> on 2019/11/04 06:58:00 UTC
[jira] [Commented] (SPARK-29740) Filter On DataFrame Will return
Tuple of 2 dataframes
[ https://issues.apache.org/jira/browse/SPARK-29740?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16966430#comment-16966430 ]
L. C. Hsieh commented on SPARK-29740:
-------------------------------------
What does it mean "it requires 2 filter ..."? To obtain two data frames which satisfies and not satisfies the condition, do not we just have one filter for each data frame?
e.g.,
val baseDF = ....
val matchedDF = baseDF.filter(...)
val notMatchedDF = baseDF.filter(...)
Otherwise, is this all about a API to return two data frames, given a filter condition, e.g.,
def twoFilter(condition: Expression): (DataFrame, DataFrame) = {
val matched = this.filter(condition)
val notMatched = this.filter(Not(condition))
(matched, notMatched)
}
> Filter On DataFrame Will return Tuple of 2 dataframes
> -----------------------------------------------------
>
> Key: SPARK-29740
> URL: https://issues.apache.org/jira/browse/SPARK-29740
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.4.4
> Reporter: sanket sahu
> Priority: Minor
> Original Estimate: 120h
> Remaining Estimate: 120h
>
> The filter operation over dataframe/dataset based on a boolean parameter,
> will return tuple of 2 dataframes instead of 1.
> i.e.
> (DataFrame_Matching_the_condition, DataFrame_NOT_Matching_the_condition)
> As of now, it requires 2 filter operation to get this result.
> But if this is implemented , this use case can be done in a single filter operation.
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