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Posted to commits@cassandra.apache.org by "Caleb Rackliffe (Jira)" <ji...@apache.org> on 2022/07/07 23:16:00 UTC

[jira] [Commented] (CASSANDRA-16052) CEP-7 Storage Attached Indexes

    [ https://issues.apache.org/jira/browse/CASSANDRA-16052?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17564025#comment-17564025 ] 

Caleb Rackliffe commented on CASSANDRA-16052:
---------------------------------------------

[~mikea] I've just rebased the [feature branch|https://github.com/apache/cassandra/pull/1466] on trunk. The only real source of conflicts (predictably) was the recent Memtable API work. I opted to just leave out for now the bit that tracked the {{tracker}} in the old concrete {{Memtable}}. Nothing here uses it yet anyway.

Otherwise, the only interesting thing was https://github.com/apache/cassandra/pull/1466/files#diff-5cddfa459aa739fe34f47d3a810b0f88168b84a7510d6428abc9b60c6a649a32R820

Tests are running [here|https://app.circleci.com/pipelines/github/maedhroz/cassandra?branch=CASSANDRA-16052].

In any case, the feature branch now should contain all the dependencies for SAI proper.

> CEP-7 Storage Attached Indexes
> ------------------------------
>
>                 Key: CASSANDRA-16052
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-16052
>             Project: Cassandra
>          Issue Type: Epic
>          Components: Feature/2i Index
>            Reporter: Zhao Yang
>            Assignee: Caleb Rackliffe
>            Priority: Normal
>             Fix For: 5.x
>
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> [CEP|https://docs.google.com/document/d/1V830eAMmQAspjJdjviVZIaSolVGvZ1hVsqOLWyV0DS4/edit#heading=h.67ap6rr1mxr] - A new index implementation, called Storage
>  Attached Index(SAI), based on the advancement made by SASI.
>  * disk usage by sharing of common data between multiple column indexes on the same table and better compression of on-disk structures.
>  * numeric range query performance with modified KDTree and collection type support.
>  * compaction performance and stability for larger data set.



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