[ https://issues.apache.org/jira/browse/SPARK-43526?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
caican updated SPARK-43526: --------------------------- Attachment: application_1684208757063_0028_90.html > when shuffle hash join is enabled, q95 performance deteriorates > --------------------------------------------------------------- > > Key: SPARK-43526 > URL: https://issues.apache.org/jira/browse/SPARK-43526 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 3.1.2, 3.2.0 > Reporter: caican > Priority: Major > Attachments: application_1684208757063_0028_90.html, > image-2023-05-16-21-20-18-727.png, image-2023-05-16-21-21-35-493.png, > image-2023-05-16-21-22-16-170.png, image-2023-05-16-21-22-44-532.png, > image-2023-05-16-21-23-33-611.png, image-2023-05-16-21-23-35-237.png, > image-2023-05-16-21-24-09-182.png, image-2023-05-16-21-28-11-514.png, > image-2023-05-16-21-28-44-163.png > > > Testing with 5TB dataset, the performance of q95 in tpcds deteriorates when > shuffle hash join is enabled and the performance is better when sortMergeJoin > is used. > > Performance difference: from 3.9min(sortMergeJoin) to > 8.1min(shuffledHashJoin) > > 1. enable shuffledHashJoin, the execution plan is as follows: > !image-2023-05-16-21-28-44-163.png|width=935,height=64! > !image-2023-05-16-21-21-35-493.png|width=924,height=502! > 2. disable shuffledHashJoin, the execution plan is as follows: > !image-2023-05-16-21-28-11-514.png|width=922,height=67! > !image-2023-05-16-21-22-16-170.png|width=934,height=477! > > And when shuffledHashJoin is enabled, gc is very serious, > !image-2023-05-16-21-23-35-237.png|width=929,height=570! > > but sortMergeJoin executes without this problem. > !image-2023-05-16-21-24-09-182.png|width=931,height=573! > > Any suggestions on how to solve it?Thanks! -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org