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https://issues.apache.org/jira/browse/SOLR-5477?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13846868#comment-13846868
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Jessica Cheng commented on SOLR-5477:
-------------------------------------

Would you please comment more about how failures are handled? I'm interested 
especially in how the Overseer may find out if individual subcommand to 
individual core admin API failed vs. timed out (the same sort of problem on the 
overall collection task). Also, if it fails, if and how states are cleaned up 
so that when the client re-issue the command it has a chance of succeeding. 
(For example, if a split shard command fails for some unknown reason, it might 
have left the shardX_0 and shardX_1 created, and the next split command might 
fail because it tries to create those two new target shards but they already 
exist. Note that this is just an example for explanation's sake--I don't know 
if it actually will complain this way.) Thanks!

> Async execution of OverseerCollectionProcessor tasks
> ----------------------------------------------------
>
>                 Key: SOLR-5477
>                 URL: https://issues.apache.org/jira/browse/SOLR-5477
>             Project: Solr
>          Issue Type: Sub-task
>          Components: SolrCloud
>            Reporter: Noble Paul
>            Assignee: Anshum Gupta
>
> Typical collection admin commands are long running and it is very common to 
> have the requests get timed out.  It is more of a problem if the cluster is 
> very large.Add an option to run these commands asynchronously
> add an extra param async=true for all collection commands
> the task is written to ZK and the caller is returned a task id. 
> as separate collection admin command will be added to poll the status of the 
> task
> command=status&id=7657668909
> if id is not passed all running async tasks should be listed
> A separate queue is created to store in-process tasks . After the tasks are 
> completed the queue entry is removed. OverSeerColectionProcessor will perform 
> these tasks in multiple threads



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