[ https://issues.apache.org/jira/browse/SPARK-40238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17688353#comment-17688353 ]
Apache Spark commented on SPARK-40238: -------------------------------------- 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])? -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org