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Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2017/03/27 12:04:41 UTC
[jira] [Closed] (SPARK-20106) Nonlazy caching of DataFrame after
orderBy/sort
[ https://issues.apache.org/jira/browse/SPARK-20106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Herman van Hovell closed SPARK-20106.
-------------------------------------
Resolution: Not A Problem
> Nonlazy caching of DataFrame after orderBy/sort
> -----------------------------------------------
>
> Key: SPARK-20106
> URL: https://issues.apache.org/jira/browse/SPARK-20106
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 2.0.1, 2.1.0
> Reporter: Richard Liebscher
> Priority: Minor
>
> Calling {{cache}} or {{persist}} after a call to {{orderBy}} or {{sortBy}} on a DataFrame runs not lazy and creates a Spark job:
> {code}spark.range(1, 1000).orderBy("id").cache(){code}
> Other operations do not generate a job when cached:
> {code}spark.range(1, 1000).repartition(2).cache()
> spark.range(1, 1000).groupBy("id").agg(fn.min("id")).cache()
> spark.range(1, 1000).cache(){code}
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