[ https://issues.apache.org/jira/browse/SPARK-34517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
MiKou updated SPARK-34517: -------------------------- Attachment: bug-1.png bug-2.png > Unexpected result when using 'aggregateMessages' with 'outerJoinVertices' > ------------------------------------------------------------------------- > > Key: SPARK-34517 > URL: https://issues.apache.org/jira/browse/SPARK-34517 > Project: Spark > Issue Type: Bug > Components: GraphX > Affects Versions: 3.0.2 > Environment: OpenJDK 1.8.0_275 > Scala 2.12.10 > Hadoop 3.3.0 > Spark 3.0.2 > Reporter: MiKou > Priority: Critical > Attachments: bug-1.png, bug-2.png > > > Using 'Graph.aggregateMessages' and 'Graph.outerJoinVertices' together when > implementing an iterative graph-algorithm which is very similar to > 'Graph.staticParallelPersonalizedPageRank'. > > There will be a bug if 'outerJoinVertices' does not change the data-type of > vertices. More specifically, 'aggregateMessages' gives the same results for > some iteration, while the value of vertices was still changed and the > attribute of a message is fully depend on the value of its source vertex. > > I temporarily solve the problem by changing the data-type when using > 'outerJoinVertices' and then change it back with 'mapVertices'. It showed > that the problem is probably due to the incorrect updating of activeSet when > 'outerJoinVertices' keeps the data-type of vertices. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org