[ https://issues.apache.org/jira/browse/SPARK-3263?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Wendell updated SPARK-3263: ----------------------------------- Fix Version/s: (was: 1.3.0) 1.2.0 > PR #720 broke GraphGenerator.logNormal > -------------------------------------- > > Key: SPARK-3263 > URL: https://issues.apache.org/jira/browse/SPARK-3263 > Project: Spark > Issue Type: Bug > Components: GraphX > Reporter: RJ Nowling > Fix For: 1.2.0 > > > PR #720 made multiple changes to GraphGenerator.logNormalGraph including: > * Replacing the call to functions for generating random vertices and edges > with in-line implementations with different equations > * Hard-coding of RNG seeds so that method now generates the same graph for a > given number of vertices, edges, mu, and sigma -- user is not able to > override seed or specify that seed should be randomly generated. > * Backwards-incompatible change to logNormalGraph signature with introduction > of new required parameter. > * Failed to update scala docs and programming guide for API changes > I also see that PR #720 added a Synthetic Benchmark in the examples. > Based on reading the Pregel paper, I believe the in-line functions are > incorrect. I proposed to: > * Removing the in-line calls > * Adding a seed for deterministic behavior (when desired) > * Keeping the number of partitions parameter. > * Updating the synthetic benchmark example -- 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