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Innodb三大特性之a(chǎn)daptivehashindex_MySQL

來(lái)源:懂視網(wǎng) 責(zé)編:小采 時(shí)間:2020-11-09 20:07:34
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Innodb三大特性之a(chǎn)daptivehashindex_MySQL

Innodb三大特性之a(chǎn)daptivehashindex_MySQL:1、Adaptive Hash Indexes 定義 If a table fits almost entirely in main memory, the fastest way to perform queries on it is to use hash indexes. InnoDB has a mechanism that monitors i
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導(dǎo)讀Innodb三大特性之a(chǎn)daptivehashindex_MySQL:1、Adaptive Hash Indexes 定義 If a table fits almost entirely in main memory, the fastest way to perform queries on it is to use hash indexes. InnoDB has a mechanism that monitors i

1、Adaptive Hash Indexes 定義

If a table fits almost entirely in main memory, the fastest way to perform queries on it is to use hash indexes. InnoDB has a mechanism that monitors index searches made to the indexes defined for a table. If InnoDB notices that queries could benefit from building a hash index, it does so automatically.

The hash index is always built based on an existing B-tree index on the table. InnoDB can build a hash index on a prefix of any length of the key defined for the B-tree, depending on the pattern of searches that InnoDB observes for the B-tree index. A hash index can be partial: It is not required that the whole B-tree index is cached in the buffer pool. InnoDB builds hash indexes on demand for those pages of the index that are often accessed.

In a sense, InnoDB tailors itself through the adaptive hash index mechanism to ample main memory, coming closer to the architecture of main-memory databases.

The configuration parameter innodb_adaptive_hash_index can be set to disable or enable the adaptive hash index. See Section 8.3.4, “Dynamically Changing innodb_adaptive_hash_index” for details.

2、hash index

哈希(hash)是一種非常快的查找方法,一般情況下查找的時(shí)間復(fù)雜度為O(1),常用于連接(join)操作,如SQL Server和Oracle中的哈希連接(hash join)。但是SQL Server和Oracle等常見(jiàn)的數(shù)據(jù)庫(kù)并不支持哈希索引(hash index)。MySQL的Heap存儲(chǔ)引擎默認(rèn)的索引類(lèi)型為哈希,而InnoDB存儲(chǔ)引擎提出了另一種實(shí)現(xiàn)方法,自適應(yīng)哈希索引(adaptive hash index)

3、自適應(yīng)哈希

InnoDB存儲(chǔ)引擎會(huì)監(jiān)控對(duì)表上索引的查找,如果觀察到建立哈希索引可以帶來(lái)速度的提升,則建立哈希索引,所以稱之為自適應(yīng)(adaptive) 的。自適應(yīng)哈希索引通過(guò)緩沖池的B+樹(shù)構(gòu)造而來(lái),因此建立的速度很快。而且不需要將整個(gè)表都建哈希索引,InnoDB存儲(chǔ)引擎會(huì)自動(dòng)根據(jù)訪問(wèn)的頻率和模式 來(lái)為某些頁(yè)建立哈希索引。

根據(jù)InnoDB的官方文檔顯示,啟用自適應(yīng)哈希索引后,讀取和寫(xiě)入速度可以提高2倍;對(duì)于輔助索引的連接操作,性能可以提高5倍。在我看來(lái),自適應(yīng)哈希索引是非常好的優(yōu)化模式,其設(shè)計(jì)思想是數(shù)據(jù)庫(kù)自優(yōu)化(self-tuning),即無(wú)需DBA對(duì)數(shù)據(jù)庫(kù)進(jìn)行調(diào)整。

Adaptive Hash Index是針對(duì)B+樹(shù)Search Path的優(yōu)化,因此所有會(huì)涉及到Search Path的操作,均可使用此Hash索引進(jìn)行優(yōu)化,這些可優(yōu)化的操作包括:Unique Scan/Range Scan(Locate First Key Page)/Insert/Delete/Purge等等,幾乎涵蓋InnoDB所有的操作類(lèi)型

Adaptive,意味著不是所有的葉頁(yè)面都會(huì)以Hash索引維護(hù),葉頁(yè)面進(jìn)入Hash 索引的條件是:同種類(lèi)型的操作(Scan/Insert…),命中同一葉頁(yè)面的次數(shù),超過(guò)此頁(yè)面記錄數(shù)量的1/16,則可將當(dāng)前葉頁(yè)面加入Hash索引, 用以優(yōu)化后續(xù)可能的相同Search Path。

mysql> show engine innodb status \G
-------------------------------------
INSERT BUFFER AND ADAPTIVE HASH INDEX
-------------------------------------
Ibuf: size 1, free list len 0, seg size 2, 0 merges
merged operations:
 insert 0, delete mark 0, delete 0
discarded operations:
 insert 0, delete mark 0, delete 0
Hash table size 553229, node heap has 17 buffer(s)
0.00 hash searches/s, 0.00 non-hash searches/s


mysql> show variables like '%adaptive_hash%'; 
+----------------------------+-------+
| Variable_name | Value |
+----------------------------+-------+
| innodb_adaptive_hash_index | ON |
+----------------------------+-------+

不過(guò)我們可以通過(guò)參數(shù)innodb_adaptive_hash_index來(lái)禁用或啟動(dòng)此特性,默認(rèn)為開(kāi)啟

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Innodb三大特性之a(chǎn)daptivehashindex_MySQL

Innodb三大特性之a(chǎn)daptivehashindex_MySQL:1、Adaptive Hash Indexes 定義 If a table fits almost entirely in main memory, the fastest way to perform queries on it is to use hash indexes. InnoDB has a mechanism that monitors i
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