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https://issues.apache.org/jira/browse/FLINK-2293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14607965#comment-14607965
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Andra Lungu commented on FLINK-2293:
------------------------------------
Also reproducible with
https://github.com/andralungu/gelly-partitioning/blob/master/src/main/java/example/NodeSplittingGSAJaccard.java;
The error is identical.
The input DataSet is SNAP's orkut graph:
http://snap.stanford.edu/data/com-Orkut.html
I am running on 30 wally nodes; well one is down so 29 (-p224).
Then, the flink.conf file should be useful:
https://gist.github.com/andralungu/3338bbd01ce61e0ce43d
Let me know if I can give help you with anything else. Even if it's a memory
issue [as is often the case] ; the error is at least misleading...
> Division by Zero Exception
> --------------------------
>
> Key: FLINK-2293
> URL: https://issues.apache.org/jira/browse/FLINK-2293
> Project: Flink
> Issue Type: Bug
> Components: Local Runtime
> Affects Versions: 0.9, 0.10
> Reporter: Andra Lungu
> Priority: Critical
> Fix For: 0.9.1
>
>
> I am basically running an algorithm that simulates a Gather Sum Apply
> Iteration that performs Traingle Count (Why simulate it? Because you just
> need a superstep -> useless overhead if you use the runGatherSumApply
> function in Graph).
> What happens, at a high level:
> 1). Select neighbors with ID greater than the one corresponding to the
> current vertex;
> 2). Propagate the received values to neighbors with higher ID;
> 3). compute the number of triangles by checking whether
> trgVertex.getValue().get(srcVertex.getId());
> As you can see, I *do not* perform any division at all;
> code is here:
> https://github.com/andralungu/gelly-partitioning/blob/master/src/main/java/example/GSATriangleCount.java
> Now for small graphs, 50MB max, the computation finishes nicely with the
> correct result. For a 10GB graph, however, I got this:
> java.lang.ArithmeticException: / by zero
> at
> org.apache.flink.runtime.operators.hash.MutableHashTable.insertIntoTable(MutableHashTable.java:836)
> at
> org.apache.flink.runtime.operators.hash.MutableHashTable.buildTableFromSpilledPartition(MutableHashTable.java:819)
> at
> org.apache.flink.runtime.operators.hash.MutableHashTable.prepareNextPartition(MutableHashTable.java:508)
> at
> org.apache.flink.runtime.operators.hash.MutableHashTable.nextRecord(MutableHashTable.java:544)
> at
> org.apache.flink.runtime.operators.hash.NonReusingBuildFirstHashMatchIterator.callWithNextKey(NonReusingBuildFirstHashMatchIterator.java:104)
> at
> org.apache.flink.runtime.operators.MatchDriver.run(MatchDriver.java:173)
> at
> org.apache.flink.runtime.operators.RegularPactTask.run(RegularPactTask.java:496)
> at
> org.apache.flink.runtime.operators.RegularPactTask.invoke(RegularPactTask.java:362)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:559)
> at java.lang.Thread.run(Thread.java:722)
> see the full log here: https://gist.github.com/andralungu/984774f6348269df7951
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