bf51655a7b
Signed-off-by: Jacek J. Łakis <jacek.lakis@intel.com> Signed-off-by: Samuel Ortiz <sameo@linux.intel.com>
73 lines
2.7 KiB
Markdown
73 lines
2.7 KiB
Markdown
# groupcache
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## Summary
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groupcache is a caching and cache-filling library, intended as a
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replacement for memcached in many cases.
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For API docs and examples, see http://godoc.org/github.com/golang/groupcache
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## Comparison to memcached
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### **Like memcached**, groupcache:
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* shards by key to select which peer is responsible for that key
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### **Unlike memcached**, groupcache:
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* does not require running a separate set of servers, thus massively
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reducing deployment/configuration pain. groupcache is a client
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library as well as a server. It connects to its own peers.
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* comes with a cache filling mechanism. Whereas memcached just says
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"Sorry, cache miss", often resulting in a thundering herd of
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database (or whatever) loads from an unbounded number of clients
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(which has resulted in several fun outages), groupcache coordinates
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cache fills such that only one load in one process of an entire
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replicated set of processes populates the cache, then multiplexes
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the loaded value to all callers.
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* does not support versioned values. If key "foo" is value "bar",
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key "foo" must always be "bar". There are neither cache expiration
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times, nor explicit cache evictions. Thus there is also no CAS,
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nor Increment/Decrement. This also means that groupcache....
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* ... supports automatic mirroring of super-hot items to multiple
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processes. This prevents memcached hot spotting where a machine's
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CPU and/or NIC are overloaded by very popular keys/values.
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* is currently only available for Go. It's very unlikely that I
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(bradfitz@) will port the code to any other language.
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## Loading process
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In a nutshell, a groupcache lookup of **Get("foo")** looks like:
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(On machine #5 of a set of N machines running the same code)
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1. Is the value of "foo" in local memory because it's super hot? If so, use it.
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2. Is the value of "foo" in local memory because peer #5 (the current
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peer) is the owner of it? If so, use it.
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3. Amongst all the peers in my set of N, am I the owner of the key
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"foo"? (e.g. does it consistent hash to 5?) If so, load it. If
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other callers come in, via the same process or via RPC requests
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from peers, they block waiting for the load to finish and get the
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same answer. If not, RPC to the peer that's the owner and get
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the answer. If the RPC fails, just load it locally (still with
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local dup suppression).
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## Users
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groupcache is in production use by dl.google.com (its original user),
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parts of Blogger, parts of Google Code, parts of Google Fiber, parts
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of Google production monitoring systems, etc.
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## Presentations
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See http://talks.golang.org/2013/oscon-dl.slide
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## Help
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Use the golang-nuts mailing list for any discussion or questions.
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