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https://issues.apache.org/jira/browse/FLINK-2603?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Greg Hogan resolved FLINK-2603.
-------------------------------
    Resolution: Not A Problem

I believe this is due to a configured limit in the size of Akka messages as 
discussed on the mailing list. The solution for my use case is to use a 
`SplittableIterator` rather than generating data locally and transmitting over 
the network.

> Flink hangs before starting execution
> -------------------------------------
>
>                 Key: FLINK-2603
>                 URL: https://issues.apache.org/jira/browse/FLINK-2603
>             Project: Flink
>          Issue Type: Bug
>          Components: Distributed Coordination
>    Affects Versions: 0.9.1, 0.10.0
>            Reporter: Greg Hogan
>
> The following simple application created from Flink's Java quickstart will 
> hang before execution if the data size is to large. I have tested this on 
> both 0.9.1 and master (7364ce18) and the threshold occurs with
>   $ ./bin/flink run /path/to/blocks/target/blocks-1.0-SNAPSHOT.jar 19
> running in a few seconds while
>   $ ./bin/flink run /path/to/blocks/target/blocks-1.0-SNAPSHOT.jar 20
> seemingly hangs forever.
> I first put this together two months ago so if it is a bug it is not a new 
> bug.
> {code}
> package blocks;
> import java.util.ArrayList;
> import java.util.List;
> import org.apache.flink.api.java.ExecutionEnvironment;
> import org.apache.flink.api.java.io.DiscardingOutputFormat;
> public class Job {
>     public static void main(String[] args) throws Exception {
>         // set up the execution environment
>         final ExecutionEnvironment env = 
> ExecutionEnvironment.getExecutionEnvironment();
>         List<Long> data = new ArrayList<>();
>         int count = 1 << Integer.valueOf(args[0]);
>         
>         for (int i = 0 ; i < count ; i++) {
>             data.add(0L);
>         }
>         env.fromCollection(data).output(new DiscardingOutputFormat());
>         System.out.println("Ready to execute ...");
>         
>         // execute program
>         env.execute("Flink Java API Skeleton");
>     }
> }
> {code}



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