[SPARK-50257] [Core]If a stage contains ExpandExec, the CoalesceShufflePartitions rule will not be adjusted during the AQE phase

• Type: Improvement
• Status: Open
• Priority: Major
• Resolution: Unresolved
• Affects Version/s: 4.0.0
• Fix Version/s: 4.0.0
• Component/s: Spark Core
• Target Version/s: 4.0.0
• Assignee: Unassigned
• Reporter: guihuawen
• Created: 6 days ago 03:38
• Updated: 6 days ago 06:06

Description

【sql】

// code placeholder
SELECT
       /*+ SHUFFLE_MERGE(b) */
       s_date,
       sum(s_quantity * i_price) AS total_sales
   FROM
       sales a
       JOIN items b ON s_item_id = i_item_id
   WHERE
       i_price < 10
   GROUP BY
       s_date with rollup;
 

Set spark.sql.shuffle.partitions=1000

After aqe:

The parallel reads in the ExpandExecut phase have been adjusted to 71, reducing parallelism. The ExpandExecut phase can lead to data expansion, and a decrease in parallelism can result in longer task execution times.

If AGE is turned off as a whole, AQE optimization cannot be enjoyed in other stages. If it is found that ExpandExec is included in the current stage, partition merging will not be performed for this issue.