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https://issues.apache.org/jira/browse/SPARK-36843?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17420199#comment-17420199
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Shockang commented on SPARK-36843:
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[~lxian2] You mean that a job collects all data and returns an iterator of byte
array.
> Add an iterator method to Dataset
> ---------------------------------
>
> Key: SPARK-36843
> URL: https://issues.apache.org/jira/browse/SPARK-36843
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Li Xian
> Priority: Minor
>
> The current org.apache.spark.sql.Dataset#toLocalIterator will submit multiple
> jobs for multiple partitions.
> In my case, I would like to collect all partition at once to save the job
> scheduling cost and also has an iterator to save the memory on
> deserialization (instead of deserialize all rows at once, I want only one row
> is deserialized during the iteration)
> .
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