[ https://issues.apache.org/jira/browse/SPARK-20994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-20994: ------------------------------------ Assignee: Apache Spark > 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: Apache Spark > > 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}} > Conceptually, there is no need to send the blocks list in step-1. Client can > send the blockId in Step-2. Receiving {{ChunkFetchRequest}}, server can check > if the chunkId is in local block manager and send back response. > Thus memory cost can be improved. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org