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https://issues.apache.org/jira/browse/SPARK-31140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17064557#comment-17064557
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Hyukjin Kwon commented on SPARK-31140:
--------------------------------------
Seems like very simply able to work around. Also given that RDD API is almost
freeze now, I think it's not worthwhile adding it.
> Support Quick sample in RDD
> ---------------------------
>
> Key: SPARK-31140
> URL: https://issues.apache.org/jira/browse/SPARK-31140
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.1.0
> Reporter: deshanxiao
> Priority: Minor
>
> RDD.sample use the function of *filter* to pick up the data we need. It means
> that if the raw data is very huge, we must spend too much time reading it. We
> can filter the raw partition to speed up the processing of sample.
> {code:java}
> override def compute(splitIn: Partition, context: TaskContext): Iterator[U]
> = {
> val split = splitIn.asInstanceOf[PartitionwiseSampledRDDPartition]
> val thisSampler = sampler.clone
> thisSampler.setSeed(split.seed)
> thisSampler.sample(firstParent[T].iterator(split.prev, context))
> }
> {code}
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