Text/Xuan soul 1. collision between Hash and Hash
Hash is a type of output that converts an input of any length into an output of a fixed length. An output of a fixed length can represent the input in "Actual Application Scenario. Hash Functions are
Text/Xuan soul 1. collision between Hash and Hash
Hash is a type of output that converts an input of any length into an output of a fixed length. An output of a fixed length can represent the input in "Actual Application Scenario. Hash Functions are
Document directory
3.1 ring hash space
3.2 map objects to the hash space
3.3 map the cache to the hash space
3.4 map objects to the cache
3.5 check cache changes
Today, the number of website users is huge, and the times when one server is
) "> Consistent hash
Algorithm (Consistent hashing)
Zhang Liang
The consistent hashing algorithm was first published in 1997.Consistent hashing and random treesHas been proposed, and is widely used in the cache system; 1. Basic scenarios
For
One: HashMap before talking about consistent hashing, first review hashmap. When using HashMap, the key is mapped evenly into the HashMap internal array (Entry ""), and the mapping method uses the hash value of key to do the shift operation. And the
Consistent hashAlgorithmKarger and others at the Massachusetts Institute of Technology proposed in 1997 to solve the distributed cache. The design goal was to solve the hot spot issue on the Internet. The original intention was very similar to carp.
First, the general settings1, $wgMetaNamespace the name of the meta-namespace used.2, $wgMetaNamespaceTalk meta-namespace The name of the discussion page. It is not usually necessary to consider the variable, but also to write: $wgMetaNamespace.
The title uses massive data instead of big data ). It seems that big data is still a little virtual.
I. Requirements
Now we need to design a solution for filtering spam addresses online. Our database already has 1 billion valid email addresses
Consistent hash algorithm (consistent hashing)Zhang LiangConsistent hashing algorithm was put forward in the paper consistent hashing and random trees in 1997, and is widely used in the cache system.1 Basic ScenariosFor example, if you have n cache
CitedIn various data structures (linear tables, trees, etc.), the relative position of the records in the structure is random. Therefore, it is necessary to compare a series of keywords when looking for records in an organization. This kind of
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