[ https://issues.apache.org/jira/browse/SPARK-20994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan reassigned SPARK-20994: ----------------------------------- Assignee: jin xing > Alleviate memory pressure in StreamManager > ------------------------------------------ > > Key: SPARK-20994 > URL: https://issues.apache.org/jira/browse/SPARK-20994 > Project: Spark > Issue Type: Improvement > Components: Spark Core > Affects Versions: 2.1.1 > Reporter: jin xing > Assignee: jin xing > Fix For: 2.3.0 > > > In my cluster, we are suffering from OOM of shuffle-service. > We found that a lot of executors are fetching blocks from a single > shuffle-service. Analyzing the memory, we found that the > blockIds({{shuffle_shuffleId_mapId_reduceId}}) takes about 1.5GBytes. > In current code, chunks are fetched from shuffle service in two steps: > Step-1. Send {{OpenBlocks}}, which contains the blocks list to to fetch; > Step-2. Fetch the consecutive chunks from shuffle-service by {{streamId}} and > {{chunkIndex}} > Thus memory cost can be improved for step-1. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org