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https://issues.apache.org/jira/browse/FLINK-4256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413090#comment-15413090
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wenlong.lyu commented on FLINK-4256:
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thanks for explaining, you are right about pre-computing. Still have another
concern, I think it is quite a special case for a job to be ExecutionJobVertex
level splittable, it may only happen in batch job graphs with blocking edges in
practice.
> Fine-grained recovery
> ---------------------
>
> Key: FLINK-4256
> URL: https://issues.apache.org/jira/browse/FLINK-4256
> Project: Flink
> Issue Type: Improvement
> Components: JobManager
> Affects Versions: 1.1.0
> Reporter: Stephan Ewen
> Assignee: Stephan Ewen
> Fix For: 1.2.0
>
>
> When a task fails during execution, Flink currently resets the entire
> execution graph and triggers complete re-execution from the last completed
> checkpoint. This is more expensive than just re-executing the failed tasks.
> In many cases, more fine-grained recovery is possible.
> The full description and design is in the corresponding FLIP.
> https://cwiki.apache.org/confluence/display/FLINK/FLIP-1+%3A+Fine+Grained+Recovery+from+Task+Failures
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