[jira] [Assigned] (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:all-tabpanel ]

Apache Spark reassigned SPARK-3580:
-----------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>              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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