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Posted to issues@flink.apache.org by "Sihua Zhou (JIRA)" <ji...@apache.org> on 2017/07/18 13:55:00 UTC

[jira] [Created] (FLINK-7219) Current allocate strategy cann‘t achieve the optimal effect with input's location

Sihua Zhou created FLINK-7219:
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             Summary: Current allocate strategy cann‘t achieve the optimal effect with input's location
                 Key: FLINK-7219
                 URL: https://issues.apache.org/jira/browse/FLINK-7219
             Project: Flink
          Issue Type: Bug
          Components: JobManager
    Affects Versions: 1.3.1
            Reporter: Sihua Zhou
            Assignee: Sihua Zhou


This is second subtask of issue [FLINK-7153|https://issues.apache.org/jira/browse/FLINK-7153?filter=-2].

Current allocate strategy can't allocate the slot optimize.  Here is the test case:
{code}
JobVertex v1 = new JobVertex("v1", jid1);
JobVertex v2 = new JobVertex("v2", jid2);

SlotSharingGroup group = new SlotSharingGroup();

v1.setSlotSharingGroup(group);
v2.setSlotSharingGroup(group);

v1.setParallelism(2);
v2.setParallelism(4);

v1.setInvokableClass(BatchTask.class);
v2.setInvokableClass(BatchTask.class);

v2.connectNewDataSetAsInput(v1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED_BOUNDED);
{code}
Currently, after allocate for v1,v2, we got a local partition and three remote partition. But actually, it should be 2 local partition and 2 remote partition. 

The causes of the above problems is becuase that the current allocate strategy is allocate the resource for execution one by one(if the execution can allocate from SlotGroup than get it, Otherwise ask for a new one for it). 



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