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https://issues.apache.org/jira/browse/HBASE-6383?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13413243#comment-13413243
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stack commented on HBASE-6383:
------------------------------
I think he's done it. He's on vacation at moment so need to wait a few days
for him to respond.
> Investigate using 2Q for block cache
> ------------------------------------
>
> Key: HBASE-6383
> URL: https://issues.apache.org/jira/browse/HBASE-6383
> Project: HBase
> Issue Type: New Feature
> Components: performance, regionserver
> Affects Versions: 0.96.0
> Reporter: Jesse Yates
> Priority: Minor
>
> Currently we use a basic version of LRU to handle block caching. LRU is know
> to be very susceptible to scan thrashing (not scan resistant), which is a
> common operation in HBase. 2Q is an efficient caching algorithm that emulates
> the effectivness of LRU/2 (eviction based not on the last access, but rather
> the access before the last), but is O(1), rather than O(lg\(n)) in complexity.
> JD has long been talking about investigating 2Q as it may be far better for
> HBase than LRU and has been shown to be incredibly useful for traditional
> database caching on production systems.
> One would need to implement 2Q (though the pseudocode in the paper is quite
> explicit) and then test against the existing cache implementation.
> The link to the original paper is here: www.vldb.org/conf/1994/P439.PDF
> A short overview of 2Q:
> 2Q uses two queues (hence the name) and a list of pointers to keep track of
> cached blocks. The first queue is for new, hot items (Ain). If an item is
> accessed that isn't in Ain, the coldest block is evicted from Ain and the new
> item replaces it. Anything accessed in Ain is already stored in memory and
> kept in Ain.
> When a block is evicted from Ain, it is moved to Aout _as a pointer_. If Aout
> is full, the oldest element is evicted and replaced with the new pointer.
> The key to 2Q comes in that when you access something in Aout, it is reloaded
> into memory and stored in queue B. If B becomes full, then the coldest block
> is evicted.
> This essentially makes Aout a filter for long-term hot items, based on the
> size of Aout. The original authors found that while you can tune Aout, it
> generally performs very well at at "50% of the number of pages as would fit
> into the buffer", but can be tuned as low as 5% at only a slight cost to
> responsiveness to changes.
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