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https://issues.apache.org/jira/browse/PHOENIX-6501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17501617#comment-17501617
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ASF GitHub Bot commented on PHOENIX-6501:
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lhofhansl edited a comment on pull request #1399:
URL: https://github.com/apache/phoenix/pull/1399#issuecomment-1059635660
Can we do this for local indexes as well? There is also a significant cost
to seeking (even when done locally)
In fact the only difference might be how we get the a table reference.
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> Use batching when joining data table rows with uncovered index rows
> -------------------------------------------------------------------
>
> Key: PHOENIX-6501
> URL: https://issues.apache.org/jira/browse/PHOENIX-6501
> Project: Phoenix
> Issue Type: Improvement
> Affects Versions: 5.1.2
> Reporter: Kadir Ozdemir
> Assignee: Kadir OZDEMIR
> Priority: Major
>
> PHOENIX-6458 extends the existing uncovered local index support for global
> indexes. The current solution uses HBase get operations to join data table
> rows with uncovered index rows on the server side. Doing a separate RPC call
> for every data table row can be expensive. Instead, we can buffer lots of
> data row keys in memory, use a skip scan filter and even multiple threads to
> issue a separate scan for each data table region in parallel. This will
> reduce the cost of join and also improve the performance.
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