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https://issues.apache.org/jira/browse/FLINK-18112?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yuan Mei updated FLINK-18112:
-----------------------------
    Description: 
This is the Jira ticket for Milestone One of [FLIP-135 Approximate Task-Local 
Recovery|[https://cwiki.apache.org/confluence/display/FLINK/FLIP-135+Approximate+Task-Local+Recovery].]

In short, in Approximate Task-Local Recovery, if a task fails, only the failed 
task restarts without affecting the rest of the job. To ease discussion, we 
divide the problem of approximate task-local recovery into three parts with 
each part only focusing on addressing a set of problems. This Jira ticket 
focuses on address the first milestone.

Milestone One: sink recovery. Here a sink task stands for no consumers reading 
data from it. In this scenario, if a sink vertex fails, the sink is restarted 
from the last successfully completed checkpoint and data loss is expected. If a 
non-sink vertex fails, a regional failover strategy takes place. In milestone 
one, we focus on issues related to task failure handling and upstream 
reconnection.

 

Milestone one includes two parts of change:

*Part 1*: Network Part: how the failed task able to link to the upstream 
Result(Sub)Partitions, and continue processing data

*Part 2*: Scheduling part, a new failover strategy to restart the sink only 
when the sink fails.

 

  was:
Build a prototype of single task failure recovery to address and answer the 
following questions:

*Step 1*: Scheduling part, restart a single node without restarting the 
upstream or downstream nodes.

*Step 2*: Checkpointing part, as my understanding of how regional failover 
works, this part might not need modification.

*Step 3*: Network part

  - how the recovered node able to link to the upstream ResultPartitions, and 
continue getting data

  - how the downstream node able to link to the recovered node, and continue 
getting node

  - how different netty transit mode affects the results

  - what if the failed node buffered data pool is full

*Step 4*: Failover process verification


> Approximate Task-Local Recovery -- Milestone One
> ------------------------------------------------
>
>                 Key: FLINK-18112
>                 URL: https://issues.apache.org/jira/browse/FLINK-18112
>             Project: Flink
>          Issue Type: New Feature
>          Components: Runtime / Checkpointing, Runtime / Coordination, Runtime 
> / Network
>    Affects Versions: 1.12.0
>            Reporter: Yuan Mei
>            Assignee: Yuan Mei
>            Priority: Major
>             Fix For: 1.12.0
>
>
> This is the Jira ticket for Milestone One of [FLIP-135 Approximate Task-Local 
> Recovery|[https://cwiki.apache.org/confluence/display/FLINK/FLIP-135+Approximate+Task-Local+Recovery].]
> In short, in Approximate Task-Local Recovery, if a task fails, only the 
> failed task restarts without affecting the rest of the job. To ease 
> discussion, we divide the problem of approximate task-local recovery into 
> three parts with each part only focusing on addressing a set of problems. 
> This Jira ticket focuses on address the first milestone.
> Milestone One: sink recovery. Here a sink task stands for no consumers 
> reading data from it. In this scenario, if a sink vertex fails, the sink is 
> restarted from the last successfully completed checkpoint and data loss is 
> expected. If a non-sink vertex fails, a regional failover strategy takes 
> place. In milestone one, we focus on issues related to task failure handling 
> and upstream reconnection.
>  
> Milestone one includes two parts of change:
> *Part 1*: Network Part: how the failed task able to link to the upstream 
> Result(Sub)Partitions, and continue processing data
> *Part 2*: Scheduling part, a new failover strategy to restart the sink only 
> when the sink fails.
>  



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