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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. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org