[jira] [Commented] (SPARK-3580) Add Consistent Method To Get Number of RDD Partitions Across Different Languages

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

    [ https://issues.apache.org/jira/browse/SPARK-3580?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14162413#comment-14162413 ] 

Apache Spark commented on SPARK-3580:
-------------------------------------

User 'patmcdonough' has created a pull request for this issue:
https://github.com/apache/spark/pull/2447

> Add Consistent Method To Get Number of RDD Partitions Across Different Languages
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-3580
>                 URL: https://issues.apache.org/jira/browse/SPARK-3580
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, Spark Core
>    Affects Versions: 1.1.0
>            Reporter: Pat McDonough
>              Labels: starter
>
> Programmatically retrieving the number of partitions is not consistent between python and scala. A consistent method should be defined and made public across both languages.
> RDD.partitions.size is also used quite frequently throughout the internal code, so that might be worth refactoring as well once the new method is available.
> What we have today is below.
> In Scala:
> {code}
> scala> someRDD.partitions.size
> res0: Int = 30
> {code}
> In Python:
> {code}
> In [2]: someRDD.getNumPartitions()
> Out[2]: 30
> {code}



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