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https://issues.apache.org/jira/browse/SPARK-40238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17688353#comment-17688353
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Apache Spark commented on SPARK-40238:
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User 'wayneguow' has created a pull request for this issue:
https://github.com/apache/spark/pull/40009
> support scaleUpFactor and initialNumPartition in pyspark rdd API
> ----------------------------------------------------------------
>
> Key: SPARK-40238
> URL: https://issues.apache.org/jira/browse/SPARK-40238
> Project: Spark
> Issue Type: Story
> Components: PySpark
> Affects Versions: 3.4.0
> Reporter: Ziqi Liu
> Priority: Major
>
> This is a followup on https://issues.apache.org/jira/browse/SPARK-40211
> `scaleUpFactor` and `initialNumPartition` config are not supported yet in
> pyspark rdd take API
>
> (see
> [https://github.com/apache/spark/blob/master/python/pyspark/rdd.py#L2799)]
> basically it hardcoded `scaleUpFactor` as 1 and `initialNumPartition` as 4,
> therefore pyspark rdd take API is inconsistent with scala API.
>
> Anyone familiar with pyspark can help support this (referring to [scala
> implementation|https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/RDD.scala#L1448])?
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