most consistent stocks

tencent2012 Pen question additional questionProblem Description: For example, a mobile friend network has n servers, in order to facilitate user access will be cached on the server data, so the user each time access to the best to maintain the same server.The existing practice is to obtain the requested server according to Serveripindex[qqnum%n], this method is convenient to separate the user to different servers up. But if a server dies, then n becomes n-1, then serveripindex[qqnum%n] is basica

Tags: InnoDB semi-consistent read1, what is semi-consistent readA type of read operation used for UPDATE statements, which is a combination of Read committed and consistent read. When an UPDATE statement examines a row that's already locked InnoDB returns the latest committed version to MySQL so th At MySQL can determine whether the row matches the WHERE conditio

Consistent hash Algorithm backgroundThe consistent hashing algorithm was proposed in 1997 by the MIT Karger and others in the solution of the distributed cache, designed to address hot spot issues in the Internet, with the original intent and carp very similar. The consistent hash corrects the problem caused by the simple hashing algorithm used by carp, so that D

The consistent hashing algorithm (consistent Hashing algorithms) is a frequently used algorithm in a distributed system.The traditional hash algorithm, when slot (slot) increases or decreases, faces the problem of all data being deployed again. The consistent hashing algorithm ensures that only the k/n data is moved (k is the total amount of data, n is the number

a distributed hash (DHT) implementation algorithm, proposed by MIT in 1997, was designed to address hot spot problems in the Internet, with a similar intent to carp.The consistent hash corrects the problem caused by the simple hashing algorithm used by carp, so that distributed hashing (DHT) can be really applied in the peer-to-peer environment. The consistency hash algorithm proposes four definitions for determining the good or bad hash algorithm in

In the Web development of large Web sites, the word distributed often appears before us. Such as: Load balancing of cache servers such as memcache, Redis servers (distributed cache), MySQL's distributed cluster (distributed DB), A large number of session shared storage (distributed files, or session servers, etc.), These will be used in distributed thinking, the root cause, to understand the distributed algorithm. Forgive me for pulling a bunch of crap. The subject of this

a distributed hash (DHT) implementation algorithm, proposed by MIT in 1997, was designed to address hot spot problems in the Internet, with a similar intent to carp.The consistent hash corrects the problem caused by the simple hashing algorithm used by carp, so that distributed hashing (DHT) can be really applied in the peer-to-peer environment. The consistency hash algorithm proposes four definitions for determining the good or bad hash algorithm in

In Oracle databases, undo has three major functions: providing consistent read, rollback transaction, and instance recovery). Consistent read is relative to dirty read (dirtyRead. Assume that a table t contains 10000 records. It takes 15 minutes to obtain all records. The current time is nine o'clock. A user a issues a query statement: Select *FromT. The statement is executed at 09:15. When user a executes

In a normal hash, if the number of nodes (denominator) changes, the original order will be completely disrupted and re-initiated. Consistent hash solves this problem. It can be seen that the normal hash is directed to the physical node, while the consistent hash is directed to the virtual node. Here we can compare the physical memory with the virtual memory, virtual nodes can be considered to be useless. Wh

The consistent hashing algorithm was proposed in 1997 by the MIT Karger and others in the solution of the distributed cache, designed to address hot spot issues in the Internet, with the original intent and carp very similar. The consistent hash corrects the problem caused by the simple hashing algorithm used by carp, so that DHT can actually be applied in the peer-to-peer environment.Consistency Hash Algor

do.Is there any way to change this situation, this is consistent hashing ... hash algorithm and monotonicity One metric of the Hash algorithm is monotonicity (monotonicity), defined as follows:Monotonicity is the addition of new buffers to the system if some content has been allocated to the corresponding buffer by hashing. The result of the hash should be that the original allocated content can be mapped to the new buffer without being mapped to oth

A type of read operation used for UPDATE statements, which is a combination of Read committed and consistent read. When an UPDATE statement examines a row that's already locked InnoDB returns the latest committed version to MySQL so th At MySQL can determine whether the row matches the WHERE condition of the UPDATE. If the row matches (must is updated), MySQL reads the row again, and this time InnoDB either locks it or waits for a lock On it. This typ

From: http://blog.csdn.net/sparkliang/article/details/5279393 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 example, if you have n cache servers (hereinafter referred to as cache), how can you map an object to N caches, you are likely to use a method similar to the following to

Consistent hash and hash Consistent hash is a special hash algorithm. After the consistent hash algorithm is used, the number of slots (size) in the hash table only needs to be re-mapped to K/n keywords on average, where K is the number of keywords, n indicates the number of slots. However, to add or delete a slot in a traditional hash table, almost all keywords

This is a creation in Article, where the information may have evolved or changed. Overview There is a scenario where the key should be routed to which service when a service is provided by multiple server groups. If the most common way to key%n (N is the number of servers), there is no problem at first glance, but when the number of servers sent increases or decreases, the allocation method becomes key% (n+ 1) or key% (N-1). There will be a large number of key failover, if the back-end key corre

The consistent hashing algorithm (consistent Hashing algorithms) is a common algorithm in a distributed system. The traditional hash algorithm, when slot (slot) increases or decreases, faces all data re-deployment problems, and the consistent hashing algorithm can guarantee that only need to move k/n data (k is the total amount of data, n is the number of slots),

The Class Name of Java must be the same as the file name (in conversion ). Original article: http://blog.csdn.net/shaoxiaoning/article/details/40424087 1. The file name stored in Java must be consistent with the class name; 2. If there is only one class in the file, the file name must be consistent with the class name; 3. A Java file can only contain one public class; 4. If there are more than one clas

Transferred from: http://blog.csdn.net/cywosp/article/details/23397179 A distributed hash (DHT) implementation algorithm, proposed by MIT in 1997, was designed to address hot spot problems in the Internet, with a similar intent to carp. The consistent hash corrects the problem caused by the simple hashing algorithm used by carp, so that distributed hashing (DHT) can be really applied in the peer-to-peer environment. The consistency hash algorithm prop

Php verifies that the two passwords are consistent. how can this problem be solved? quot; 0 quot ;? Ask: it is very simple to verify whether the two passwords are consistent. a strange problem occurs: If "00000" is entered for the first time and "000" is entered for the second time ", the program considers it to be consistent, that is, when the password entered

A distributed hash (DHT) implementation algorithm, proposed by MIT in 1997, was designed to address hot spot problems in the Internet, with a similar intent to carp. The consistent hash corrects the problem caused by the simple hashing algorithm used by carp, so that distributed hashing (DHT) can be really applied in the peer-to-peer environment. The consistency hash algorithm proposes four definitions for determining the good or bad hash algorithm i