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From "Lars Hofhansl (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-14509) Configurable sparse indexes?
Date Tue, 29 Sep 2015 18:02:06 GMT

    [ https://issues.apache.org/jira/browse/HBASE-14509?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14935539#comment-14935539

Lars Hofhansl commented on HBASE-14509:

Bloom filters are good for point lookups, not for range scans. But BFs on column values is
a great idea!
For scans with filters we need to be able to rule out large chunks of the data.

Schema in HBase... You're talking heresy :)

> Configurable sparse indexes?
> ----------------------------
>                 Key: HBASE-14509
>                 URL: https://issues.apache.org/jira/browse/HBASE-14509
>             Project: HBase
>          Issue Type: Brainstorming
>            Reporter: Lars Hofhansl
> This idea just popped up today and I wanted to record it for discussion:
> What if we kept sparse column indexes per region or HFile or per configurable range?
> I.e. For any given CQ we record the lowest and highest value for a particular range (HFile,
Region, or a custom range like the Phoenix guide post).
> By tweaking the size of these ranges we can control the size of the index, vs its selectivity.
> For example if we kept it by HFile we can almost instantly decide whether we need scan
a particular HFile at all to find a particular value in a Cell.
> We can also collect min/max values for each n MB of data, for example when we can the
region the first time. Assuming ranges are large enough we can always keep the index in memory
together with the region.
> Kind of a sparse local index. Might much easier than the buddy region stuff we've been

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