fast crc32

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C # CRC32

Original: http://blog.csdn.net/yangang0201/article/details/1682181usingSystem;usingSystem.IO;usingsystem.security;usingSystem.Security.Cryptography;usingSystem.Runtime.InteropServices;usingSystem.Text;namespacekernelcore.utility.encrypt{///

Buffer data structure and memory-mapped files for new IO

First, the Buffer classJava.nio.Buffer what is this class for? What kind of structure is there?"Core Java" is defined as "A buffer is array of values of the same type". So, we can sense the perceptual:buffer is like an array, storing the same type

MySQL large data volume fast paging implementation (reprint)

In MySQL if it is a small amount of data paging we directly use limit x, Y, but if tens of millions of data use so you can not use the paging function, then how to construct a large amount of data SQL query paging it?When I first started to learn

MySQL millions page optimization (MySQL tens fast paging)

Share a little of my experience belowIn general, when I first started to learn SQL, I wrote this:But when the data reaches millions, it will slow down:It might take dozens of seconds.Many of the ways to optimize online are as follows:Yes, the speed

Start auto intelligent virtual instrument 2

Repost an article about how to start Linux in one second. Based on TI's dm6446, smart instruments can be used. All this for 1 second boot Results Let me give the results first Sequence Time (uncompressed kernel) Time (compressed

[Learn More-memcached] memcached Distributed Algorithm

Document directory What does memcached mean by its distributed architecture? Scattered Based on remainder Calculation Disadvantages of scattered calculation based on Remainder A brief description of consistent hashing Function libraries

MySQL large amount of data fast paging implementation

Just beginning to learn the SQL statement, it will be written The code is as follows: The code is as follows Copy Code SELECT * FROM table order by ID LIMIT 1000, 10; But when the data reaches millions, the

Basics of Mysql indexing (bottom)

If you need to store a large number of URLs and need to search by URL. If you use B-tree to store URLs, the content stored is very large because the URLs themselves are very long. Under normal circumstances, the following query will be

Memcached Complete Anatomy Series Tutorial "Turn" memcached Complete Anatomy Series Tutorial –4.memcached distributed algorithm

Directory of this documentMemcached's distributed· What does memcached mean by distributed?· A distributed approach to cache::memcached· Calculate dispersion based on remainder· Disadvantages of dispersion calculation based on remainderConsistent

Mysql index basics (bottom) _ MySQL

If you need to store a large number of URLs and search for them based on the URLs. If B-Tree is used to store the URL, the stored content will be large because the URL itself is very long. Under normal circumstances, there will be the following

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