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Aaron Davidson commented on SPARK-4740: --------------------------------------- Very interesting -- "good" executor is using 6 cores for reading (expected for numConnectionsPerPeer = 2), and "bad" one is only using 2. Something about the patch may be nondeterministically failing to work... > Netty's network throughput is about 1/2 of NIO's in spark-perf sortByKey > ------------------------------------------------------------------------ > > Key: SPARK-4740 > URL: https://issues.apache.org/jira/browse/SPARK-4740 > Project: Spark > Issue Type: Improvement > Components: Shuffle, Spark Core > Affects Versions: 1.2.0 > Reporter: Zhang, Liye > Assignee: Reynold Xin > Priority: Blocker > Attachments: (rxin patch better executor)TestRunner sort-by-key - > Thread dump for executor 3_files.zip, (rxin patch normal executor)TestRunner > sort-by-key - Thread dump for executor 0 _files.zip, Spark-perf Test Report > 16 Cores per Executor.pdf, Spark-perf Test Report.pdf, TestRunner > sort-by-key - Thread dump for executor 1_files (Netty-48 Cores per node).zip, > TestRunner sort-by-key - Thread dump for executor 1_files (Nio-48 cores per > node).zip > > > When testing current spark master (1.3.0-snapshot) with spark-perf > (sort-by-key, aggregate-by-key, etc), Netty based shuffle transferService > takes much longer time than NIO based shuffle transferService. The network > throughput of Netty is only about half of that of NIO. > We tested with standalone mode, and the data set we used for test is 20 > billion records, and the total size is about 400GB. Spark-perf test is > Running on a 4 node cluster with 10G NIC, 48 cpu cores per node and each > executor memory is 64GB. The reduce tasks number is set to 1000. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org