http://dev.mysql.com/doc/refman/5.7/en/index-btree-hash.html

Hash Index Characteristics

Hash indexes have somewhat different characteristics from those just discussed:

  • They are used only for equality comparisons that use the = or <=> operators (but are very fast). They are not used for comparison operators such as <that find a range of values. Systems that rely on this type of single-value lookup are known as “key-value stores”; to use MySQL for such applications, use hash indexes wherever possible.

  • The optimizer cannot use a hash index to speed up ORDER BY operations. (This type of index cannot be used to search for the next entry in order.)

  • MySQL cannot determine approximately how many rows there are between two values (this is used by the range optimizer to decide which index to use). This may affect some queries if you change a MyISAM or InnoDB table to a hash-indexed MEMORY table.

  • Only whole keys can be used to search for a row. (With a B-tree index, any leftmost prefix of the key can be used to find rows.)

only for equality comparisons Hash Index Characteristics的更多相关文章

  1. In-Memory:Hash Index

    SQL Server 2016支持哈希查找,用户可以在内存优化表(Memory-Optimized Table)上创建Hash Index,使用Hash 查找算法,实现数据的极速查找.在使用上,Has ...

  2. adaptive hash index

    An optimization for InnoDB tables that can speed up lookups using = and IN operators, by constructin ...

  3. 14.4.3 Adaptive Hash Index 自适应hash index

    14.4.3 Adaptive Hash Index 自适应hash index 自适应hash index(AHI) 让InnoDB 执行更像内存数据库在系统使用合适的负载组合和足够的内存用于Buf ...

  4. Mysql InnoDB三大特性-- 自适应hash index

    Mysql InnoDB三大特性-- 自适应hash index

  5. 【mysql】Innodb三大特性之adaptive hash index

    1.Adaptive Hash Indexes 定义 If a table fits almost entirely in main memory, the fastest way to perfor ...

  6. insert buffer/change buffer double write buffer,双写 adaptive hash index(AHI) innodb的crash recovery innodb重要参数 innodb监控

    https://yq.aliyun.com/articles/41000 http://blog.itpub.net/22664653/viewspace-1163838/ http://www.cn ...

  7. 自适应哈希索引(Adaptive Hash Index, AHI) 转

    Adaptive Hash Index, AHI 场景 比如我们每次从辅助索引查询到对应记录的主键,然后还要用主键作为search key去搜索主键B+tree才能找到记录. 当这种搜索变多了,inn ...

  8. Comparison of B-Tree and Hash Indexes

    Understanding the B-tree and hash data structures can help predict how different queries perform on ...

  9. Mysql Hash索引和B-Tree索引区别(Comparison of B-Tree and Hash Indexes)

    上篇文章中说道,Mysql中的Btree索引和Hash索引的区别,没做展开描述,今天有空,上Mysql官方文档找到了相关答案,看完之后,针对两者的区别做如下总结: 引用维基百科上的描述,来解释一下这两 ...

随机推荐

  1. 《Getting Started with Storm》章节一 基础

    注:括号里的字,并且是(灰色)的,是我个人的理解,如有差错,欢迎交流 Storm是一个分布式的.可靠的.容错的数据流处理系统(流式计算框架,可以和mapreduce的离线计算框架对比理解).整个任务被 ...

  2. Uva401Palindromes

      Palindromes  A regular palindrome is a string of numbers or letters that is the same forward as ba ...

  3. UVa 11922 & splay的合并与分裂

    题意: 1个1—n的排列,实现一下操作:将a—b翻转并移动至序列的最后. SOL: splay维护区间的裸题——不过平衡树的题目貌似都是裸的吧...就是看操作的复杂程度罢... 如何取区间呢,我们在s ...

  4. Leetcode Spiral Matrix II

    Given an integer n, generate a square matrix filled with elements from 1 to n2 in spiral order. For ...

  5. 【BZOJ】2795: [Poi2012]A Horrible Poem

    题意 一个长度为\(n(n \le 500000)\)的字符串\(s\),给\(q(q \le 2000000)\)个询问,每个询问给一个区间\([l, r]\),求这个区间内最短的循环节. 分析 分 ...

  6. 【HDU】2829 Lawrence

    http://acm.hdu.edu.cn/showproblem.php?pid=2829 题意:将长度为n的序列分成p+1块,使得$\sum_{每块}\sum_{i<j} a[i]a[j]$ ...

  7. Linux-CentOS 6.5 mini 中没有curses.h的问题

    1.直接贴过程 [fengbo@CentOS: jigsaw]$ rpm -q ncursesncurses-5.7-3.20090208.el6.i686[fengbo@CentOS: jigsaw ...

  8. 使用RESTClient插件进行数据模拟(GET,POST)提交

    1:在Firefox中下载RESTClient插件安装 2:安装好后的界面 (chrome://restclient/content/restclient.html) 3:选择GET/POST,输入U ...

  9. Redis常用命令(一)

    Redis::__construct描述:创建一个Redis客户端范例:$redis = new Redis(); connect, open描述:实例连接到一个Redis.参数:host: stri ...

  10. 李洪强iOS经典面试题131

    培训机构量产iOS程序员,导致了现在iOS就业的浮躁和困难.但是技术好的人仍然不愁工作,而一些想进入行业捞一笔就走的人,势必在今年这种艰难就业形式下,被迫淘汰,转行. look.jpg 这张图是git ...