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https://issues.apache.org/jira/browse/SPARK-3263?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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



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