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From "Tom White (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HADOOP-1398) Add in-memory caching of data
Date Mon, 21 Jan 2008 11:49:36 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-1398?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Tom White updated HADOOP-1398:

    Attachment: hadoop-blockcache-v4.patch

bq. In the below from HStoreFile, blockCacheEnabled method argument is not being passed to
the MapFile constructors.

Thanks - this had the effect of never enabling the cache! I've fixed this.

bq. Out of interest, did you regenerate the thrift or hand-edit it? Changes look right - just

I regenerated using the latest thrift trunk.

bq. Default ReferenceMap constructor makes for hard keys and soft values. If value has been
let go by the GC, does the corresponding key just stay in the Map?

Yes - I checked the source.

This patch also includes changes to HBase Shell so you can alter a table to enable block caching.

> Add in-memory caching of data
> -----------------------------
>                 Key: HADOOP-1398
>                 URL: https://issues.apache.org/jira/browse/HADOOP-1398
>             Project: Hadoop
>          Issue Type: New Feature
>          Components: contrib/hbase
>            Reporter: Jim Kellerman
>            Priority: Trivial
>         Attachments: commons-collections-3.2.jar, hadoop-blockcache-v2.patch, hadoop-blockcache-v3.patch,
hadoop-blockcache-v4.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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