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Date: Sat, 21 Mar 2009 10:25:50 -0700 (PDT)
From: "Andrew Purtell (JIRA)" <jira@apache.org>
To: hbase-dev@hadoop.apache.org
Subject: [jira] Commented: (HBASE-1186) Memory-aware Maps with LRU eviction
 for Cell Cache
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    [ https://issues.apache.org/jira/browse/HBASE-1186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12688063#action_12688063 ] 

Andrew Purtell commented on HBASE-1186:
---------------------------------------

I've reviewed this and except for a minor collision with the patch now it looks good. I'm just waiting for HBASE-1274 to be resolved first so I can claim that all local tests pass before committing this.

> Memory-aware Maps with LRU eviction for Cell Cache
> --------------------------------------------------
>
>                 Key: HBASE-1186
>                 URL: https://issues.apache.org/jira/browse/HBASE-1186
>             Project: Hadoop HBase
>          Issue Type: New Feature
>            Reporter: Jonathan Gray
>            Assignee: Jonathan Gray
>            Priority: Critical
>             Fix For: 0.20.0
>
>         Attachments: hbase-1186-v2.patch, hbase-1186-v3.patch, hbase-1186-v4.patch, HeapSize.java, LruHashMap.java
>
>
> Caching is key for 0.20.  We need a set of memory-aware data structures to manage our caches.
> I propose two initial classes:  LruHashMap and LruBlockMap
> *LruHashMap* is currently being used over in HBASE-80 for the Cell cache.  Erik Holstad has done extensive testing and benchmarking and will post results over in this issue.
> - Memory-aware
> - Fixed size
> - LRU eviction
> *LruBlockMap* can be used for the block caching of the new file format in HBASE-61.  It should try to use all available memory, but must contend with Memcaches so is resizable to deal with heap pressure.  Adding high priority blocks (evicted last) gives us in-memory functionality as described in bigtable paper.
> - Memory-aware
> - Fully resizable
> - LRU eviction (with some additions)
> - High priority blocks
> - _Optional: Scan resistant algorithm_
> Part of this issue is also solving how we will determine the size of cached objects.

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