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https://issues.apache.org/jira/browse/DRILL-4446?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15180050#comment-15180050
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ASF GitHub Bot commented on DRILL-4446:
---------------------------------------

Github user vkorukanti commented on the pull request:

    https://github.com/apache/drill/pull/403#issuecomment-192332765
  
    Patch update.
    + Address review comments including unittest for 
HardAffinityFragmentParallelizer
    + Fix Limit0 issue when one of the GroupScans in limit0 query has hard 
assignment requirements (in which case we can't run the entire query in one 
fragment). @sudheeshkatkam Can you review this change for any perf 
implications? I tested limit0 queries on parquet table containing more than 1k 
files. I didn't see any regressions.


> Improve current fragment parallelization module
> -----------------------------------------------
>
>                 Key: DRILL-4446
>                 URL: https://issues.apache.org/jira/browse/DRILL-4446
>             Project: Apache Drill
>          Issue Type: New Feature
>    Affects Versions: 1.5.0
>            Reporter: Venki Korukanti
>            Assignee: Venki Korukanti
>             Fix For: 1.6.0
>
>
> Current fragment parallelizer {{SimpleParallelizer.java}} can’t handle 
> correctly the case where an operator has mandatory scheduling requirement for 
> a set of DrillbitEndpoints and affinity for each DrillbitEndpoint (i.e how 
> much portion of the total tasks to be scheduled on each DrillbitEndpoint). It 
> assumes that scheduling requirements are soft (except one case where Mux and 
> DeMux case where mandatory parallelization requirement of 1 unit). 
> An example is:
> Cluster has 3 nodes running Drillbits and storage service on each. Data for a 
> table is only present at storage services in two nodes. So a GroupScan needs 
> to be scheduled on these two nodes in order to read the data. Storage service 
> doesn't support (or costly) reading data from remote node.
> Inserting the mandatory scheduling requirements within existing 
> SimpleParallelizer is not sufficient as you may end up with a plan that has a 
> fragment with two GroupScans each having its own hard parallelization 
> requirements.
> Proposal is:
> Add a property to each operator which tells what parallelization 
> implementation to use. Most operators don't have any particular strategy 
> (such as Project or Filter), they depend on incoming operator. Current 
> existing operators which have requirements (all existing GroupScans) default 
> to current parallelizer {{SimpleParallelizer}}. {{Screen}} defaults to new 
> mandatory assignment parallelizer. It is possible that PhysicalPlan generated 
> can have a fragment with operators having different parallelization 
> strategies. In that case an exchange is inserted in between operators where a 
> change in parallelization strategy is required.
> Will send a detailed design doc.



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