[jira] [Commented] (SPARK-21153) Time windowing for tumbling windows can use a project instead of expand + filter

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-21153?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16056022#comment-16056022 ] 

Apache Spark commented on SPARK-21153:
--------------------------------------

User 'brkyvz' has created a pull request for this issue:
https://github.com/apache/spark/pull/18364

> Time windowing for tumbling windows can use a project instead of expand + filter
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-21153
>                 URL: https://issues.apache.org/jira/browse/SPARK-21153
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.1.1
>            Reporter: Burak Yavuz
>            Assignee: Burak Yavuz
>
> Time windowing in Spark currently performs an Expand + Filter, because there is no way to guarantee the amount of windows a timestamp will fall in, in the general case. However, for tumbling windows, a record is guaranteed to fall into a single bucket. In this case, doubling the number of records with Expand is wasteful, and can be improved by using a simple Projection instead.



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