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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/01/09 12:13:00 UTC
[jira] [Commented] (SPARK-23005) Improve RDD.take on small number
of partitions
[ https://issues.apache.org/jira/browse/SPARK-23005?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16318316#comment-16318316 ]
Apache Spark commented on SPARK-23005:
--------------------------------------
User 'gengliangwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/20200
> Improve RDD.take on small number of partitions
> ----------------------------------------------
>
> Key: SPARK-23005
> URL: https://issues.apache.org/jira/browse/SPARK-23005
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.2.1
> Reporter: Gengliang Wang
>
> In current implementation of RDD.take, we overestimate the number of partitions we need to try by 50%:
> `(1.5 * num * partsScanned / buf.size).toInt`
> However, when the number is small, the result of `.toInt` is not what we want.
> E.g, 2.9 will become 2, which should be 3.
> Use math.Ceil fix the problem.
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