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https://issues.apache.org/jira/browse/SPARK-28613?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16902704#comment-16902704
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Shivu Sondur commented on SPARK-28613:
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I will check
> Spark SQL action collect just judge size of compressed RDD's size, not
> accurate enough
> --------------------------------------------------------------------------------------
>
> Key: SPARK-28613
> URL: https://issues.apache.org/jira/browse/SPARK-28613
> Project: Spark
> Issue Type: Wish
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: angerszhu
> Priority: Major
>
> When we run action DataFrame.collect() , for the configuration
> *spark.driver.maxResultSize ,*when determine if the returned data exceeds
> the limit, it will use the compressed byte array's size, it is not accurate.
> Since when we get data when use SparkThriftServer, when not use incremental
> colletion. It will get all data of datafrme for each partition.
> For return data, it has the preocess"
> # compress data's byte array
> # Being packaged as ResultSet
> # return to driver and judge by *spark.Driver.resultMaxSize*
> # *decode(uncompress) data as Array[Row]*
> The amount of data unzipped differs significantly from the amount of data
> unzipped， The difference in the size of the data is more than ten times
>
>
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