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https://issues.apache.org/jira/browse/CASSANDRA-1337?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13452862#comment-13452862
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Sylvain Lebresne commented on CASSANDRA-1337:
---------------------------------------------
I haven't had the time yet to look at the new patches, but there may be
something wrong with the revert because the test at
https://github.com/riptano/cassandra-dtest/blob/master/cql_tests.py#L1736 is
still broken on trunk, though now it simply doesn't complete. Haven't looked
yet but the test passes alright in 1.1.
> parallelize fetching rows for low-cardinality indexes
> -----------------------------------------------------
>
> Key: CASSANDRA-1337
> URL: https://issues.apache.org/jira/browse/CASSANDRA-1337
> Project: Cassandra
> Issue Type: Improvement
> Reporter: Jonathan Ellis
> Assignee: David Alves
> Priority: Minor
> Fix For: 1.2.1
>
> Attachments: 1137-bugfix.patch, 1337.patch, 1337-v4.patch,
> ASF.LICENSE.NOT.GRANTED--0001-CASSANDRA-1337-scan-concurrently-depending-on-num-rows.txt,
> CASSANDRA-1337.patch
>
> Original Estimate: 8h
> Remaining Estimate: 8h
>
> currently, we read the indexed rows from the first node (in partitioner
> order); if that does not have enough matching rows, we read the rows from the
> next, and so forth.
> we should use the statistics fom CASSANDRA-1155 to query multiple nodes in
> parallel, such that we have a high chance of getting enough rows w/o having
> to do another round of queries (but, if our estimate is incorrect, we do need
> to loop and do more rounds until we have enough data or we have fetched from
> each node).
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