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From "Tom White (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HBASE-288) Add in-memory caching of data
Date Tue, 05 Feb 2008 16:04:07 GMT

     [ https://issues.apache.org/jira/browse/HBASE-288?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Tom White updated HBASE-288:

    Attachment: hadoop-blockcache-v7.patch

A new patch (v7) with just the HBase parts in it.  I successfully ran the HBase unit tests
with this patch by using a Hadoop Core 0.16 jar that had been patched with the MapFile and
SequenceFile changes in core trunk.

This can be applied to trunk after the branch is created. 

Jim/Stack/Bryan: Sorry about the extra work I caused you by committing too early!

> Add in-memory caching of data
> -----------------------------
>                 Key: HBASE-288
>                 URL: https://issues.apache.org/jira/browse/HBASE-288
>             Project: Hadoop HBase
>          Issue Type: Bug
>          Components: regionserver
>            Reporter: Jim Kellerman
>            Assignee: Jim Kellerman
>            Priority: Trivial
>         Attachments: commons-collections-3.2.jar, hadoop-blockcache-v2.patch, hadoop-blockcache-v3.patch,
hadoop-blockcache-v4.1.patch, hadoop-blockcache-v4.patch, hadoop-blockcache-v5.patch, hadoop-blockcache-v6.patch,
hadoop-blockcache-v7.patch, hadoop-blockcache.patch
> Bigtable provides two in-memory caches: one for row/column data and one for disk block
> The size of each cache should be configurable, data should be loaded lazily, and the
cache managed by an LRU mechanism.
> One complication of the block cache is that all data is read through a SequenceFile.Reader
which ultimately reads data off of disk via a RPC proxy for ClientProtocol. This would imply
that the block caching would have to be pushed down to either the DFSClient or SequenceFile.Reader

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