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https://issues.apache.org/jira/browse/SPARK-40499?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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xuanzhiang updated SPARK-40499:
-------------------------------
Priority: Major (was: Blocker)
> Spark 3.2.1 percentlie_approx query much slower than Spark 2.4.0
> ----------------------------------------------------------------
>
> Key: SPARK-40499
> URL: https://issues.apache.org/jira/browse/SPARK-40499
> Project: Spark
> Issue Type: Bug
> Components: Shuffle
> Affects Versions: 3.2.1
> Environment: hadoop: 3.0.0
> spark: 2.4.0 / 3.2.1
> shuffle：spark 2.4.0
> Reporter: xuanzhiang
> Priority: Major
> Attachments: spark2.4-shuffle-data.png, spark3.2-shuffle-data.png
>
>
> spark.sql(
> s"""
> |SELECT
> | Info ,
> | PERCENTILE_APPROX(cost,0.5) cost_p50,
> | PERCENTILE_APPROX(cost,0.9) cost_p90,
> | PERCENTILE_APPROX(cost,0.95) cost_p95,
> | PERCENTILE_APPROX(cost,0.99) cost_p99,
> | PERCENTILE_APPROX(cost,0.999) cost_p999
> |FROM
> | textData
> |""".stripMargin)
> * When we used spark 2.4.0, aggregation adopted objHashAggregator, stage 2
> pull shuffle data very quick . but , when we use spark 3.2.1 and use old
> shuffle , 140M shuffle data cost 3 hours.
> * If we upgrade the Shuffle, will we get performance regression？
> *
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