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https://issues.apache.org/jira/browse/ASTERIXDB-2231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16350996#comment-16350996
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ASF subversion and git services commented on ASTERIXDB-2231:
------------------------------------------------------------

Commit 2f934e312e841223aa0e4941e01f23b9e63fdc18 in asterixdb's branch 
refs/heads/master from [~luochen01]
[ https://git-wip-us.apache.org/repos/asf?p=asterixdb.git;h=2f934e3 ]

[ASTERIXDB-2231][STO] Separate primary op tracker for each partition

- user model changes: no
- storage format changes: no.
- interface changes: yes.

Details:
- Separate primary index operation tracker for each partition, instead
of having a global one on each NC to achieve better scalability.
- As a coordinated change, separate component id generator for each
partition as well.
- Add partition to transaction context so that transaction operations
can operate on proper op tracker.
- Fixes [ASTERIXDB-2232] to calculate dataset partitions correctly.

Change-Id: I9eb3854d2343e45beeccb87b0d434e5f4efd69c9
Reviewed-on: https://asterix-gerrit.ics.uci.edu/2263
Integration-Tests: Jenkins <jenk...@fulliautomatix.ics.uci.edu>
Tested-by: Jenkins <jenk...@fulliautomatix.ics.uci.edu>
Reviewed-by: abdullah alamoudi <bamou...@gmail.com>


> Seperate PrimaryIndexOperationTracker for Each Partition
> --------------------------------------------------------
>
>                 Key: ASTERIXDB-2231
>                 URL: https://issues.apache.org/jira/browse/ASTERIXDB-2231
>             Project: Apache AsterixDB
>          Issue Type: Improvement
>          Components: STO - Storage
>            Reporter: Chen Luo
>            Assignee: Chen Luo
>            Priority: Major
>
> Currently the PrimaryIndexOperationTracker is shared on multiple partitions 
> on an NC. This becomes a bottleneck when the NC has many partitions, since 
> all operations on indexes need to be serialized on the same op tracker. This 
> issue proposes to separate PrimaryIndexOperationTracker for each partition to 
> achieve better scalability.



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