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https://issues.apache.org/jira/browse/FLINK-10205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16673434#comment-16673434
 ] 

ASF GitHub Bot commented on FLINK-10205:
----------------------------------------

isunjin commented on a change in pull request #6684:     [FLINK-10205] Batch 
Job: InputSplit Fault tolerant for DataSource…
URL: https://github.com/apache/flink/pull/6684#discussion_r230445728
 
 

 ##########
 File path: 
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java
 ##########
 @@ -249,6 +254,19 @@ public CoLocationConstraint getLocationConstraint() {
                return locationConstraint;
        }
 
+       public InputSplit getNextInputSplit(int index, String host) {
+               final int taskId = this.getParallelSubtaskIndex();
+               synchronized (this.inputSplits) {
+                       if (index < this.inputSplits.size()) {
+                               return this.inputSplits.get(index);
 
 Review comment:
   Thanks, removed.
   It was intent for support speculative execution, that multiple version of 
the same executionVertex can be run at same time, but i will postpone the 
feature and add it later

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> Batch Job: InputSplit Fault tolerant for DataSourceTask
> -------------------------------------------------------
>
>                 Key: FLINK-10205
>                 URL: https://issues.apache.org/jira/browse/FLINK-10205
>             Project: Flink
>          Issue Type: Sub-task
>          Components: JobManager
>    Affects Versions: 1.6.1, 1.6.2, 1.7.0
>            Reporter: JIN SUN
>            Assignee: JIN SUN
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.7.0
>
>   Original Estimate: 168h
>  Remaining Estimate: 168h
>
> Today DataSource Task pull InputSplits from JobManager to achieve better 
> performance, however, when a DataSourceTask failed and rerun, it will not get 
> the same splits as its previous version. this will introduce inconsistent 
> result or even data corruption.
> Furthermore,  if there are two executions run at the same time (in batch 
> scenario), this two executions should process same splits.
> we need to fix the issue to make the inputs of a DataSourceTask 
> deterministic. The propose is save all splits into ExecutionVertex and 
> DataSourceTask will pull split from there.
>  document:
> [https://docs.google.com/document/d/1FdZdcA63tPUEewcCimTFy9Iz2jlVlMRANZkO4RngIuk/edit?usp=sharing]



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