MySQL多列索引的應(yīng)用
多列索引
我們經(jīng)常聽到一些人說"把WHERE條件里的列都加上索引",其實這個建議非常錯誤。在多個列上建立單獨的索引大部分情況下并不能提高M(jìn)ySQL的查詢性能。MySQL在5.0之后引入了一種叫“索引合并”(index merge)的策略,一定程度上可以使用表上的多個單列索引來定位指定的行。但是當(dāng)服務(wù)器對多個索引做聯(lián)合操作時,通常需要耗費大量CPU和內(nèi)存資源在算法的緩存、排序和合并操作上,特別是當(dāng)其中有些索引的選擇性不高,需要合并掃描大量的數(shù)據(jù)的時候。
這個時候,我們需要一個多列索引。
案例
創(chuàng)建一個測試數(shù)據(jù)庫和數(shù)據(jù)表:
- CREATE DATABASE IF NOT EXISTS db_test default charset utf8 COLLATE utf8_general_ci;
- use db_test;
- CREATE TABLE payment (
- id INT UNSIGNED NOT NULL AUTO_INCREMENT,
- staff_id INT UNSIGNED NOT NULL,
- customer_id INT UNSIGNED NOT NULL,
- PRIMARY KEY (id)
- ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
插入1000w行隨機(jī)數(shù)據(jù)(利用存儲過程):
- DROP PROCEDURE IF EXISTS add_payment;
- DELIMITER //
- create PROCEDURE add_payment(in num INT)
- BEGIN
- DECLARE rowid INT DEFAULT 0;
- SET @exesql = 'INSERT INTO payment(staff_id, customer_id) values (?, ?)';
- WHILE rowid < num DO
- SET @staff_id = (1 + FLOOR(5000*RAND()) );
- SET @customer_id = (1 + FLOOR(500000*RAND()));
- SET rowid = rowid + 1;
- prepare stmt FROM @exesql;
- EXECUTE stmt USING @staff_id, @customer_id;
- END WHILE;
- END //
- DELIMITER ;
或者你可以直接下載使用我的測試數(shù)據(jù)(也是利用上面的存儲過程,但是我之后調(diào)整了數(shù)據(jù)):
添加兩個單列索引(執(zhí)行過程要花點時間,建議分開一句一句執(zhí)行):
- ALTER TABLE `payment` ADD INDEX idx_customer_id(`customer_id`);
- ALTER TABLE `payment` ADD INDEX idx_staff_id(`staff_id`);
查詢一條數(shù)據(jù)利用到兩個列的索引:
- select count(*) from payment where staff_id = 2205 AND customer_id = 93112;
查看執(zhí)行計劃:
- mysql> explain select count(*) from payment where staff_id = 2205 AND customer_id = 93112;
- +----+-------------+---------+-------------+------------------------------+------------------------------+---------+------+-------+-------------------------------------------------------------------------+
- | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
- +----+-------------+---------+-------------+------------------------------+------------------------------+---------+------+-------+-------------------------------------------------------------------------+
- | 1 | SIMPLE | payment | index_merge | idx_customer_id,idx_staff_id | idx_staff_id,idx_customer_id | 4,4 | NULL | 11711 | Using intersect(idx_staff_id,idx_customer_id); Using where; Using index |
- +----+-------------+---------+-------------+------------------------------+------------------------------+---------+------+-------+-------------------------------------------------------------------------+
- 1 row in set (0.00 sec)
可以看到type是index_merge,Extra中提示Using intersect(idx_staff_id,idx_customer_id);
這便是索引合并,利用兩個索引,然后合并兩個結(jié)果(取交集或者并集或者兩者都有)
查詢結(jié)果:
- mysql> select count(*) from payment where staff_id = 2205 AND customer_id = 93112 ;
- +----------+
- | count(*) |
- +----------+
- | 178770 |
- +----------+
- 1 row in set (0.12 sec)
然后刪除以上索引,添加多列索引:
- ALTER TABLE payment DROP INDEX idx_customer_id;
- ALTER TABLE payment DROP INDEX idx_staff_id;
- ALTER TABLE `payment` ADD INDEX idx_customer_id_staff_id(`customer_id`, `staff_id`);
注意,多列索引很關(guān)注索引列的順序(因為customer_id的選擇性更大,所以把它放前面)
查詢:
- mysql> select count(*) from payment where staff_id = 2205 AND customer_id = 93112;
- +----------+
- | count(*) |
- +----------+
- | 178770 |
- +----------+
- 1 row in set (0.05 sec)
發(fā)現(xiàn)多列索引加快的查詢(這里數(shù)據(jù)量還是較小,更大的時候比較更明顯)
注意
多列索引的列順序至關(guān)重要,如何選擇索引的列順序有一個經(jīng)驗法則:將選擇性***的列放到索引最前列(但是不是絕對的)。經(jīng)驗法則考慮全局的基數(shù)和選擇性,而不是某個具體的查詢:
- mysql> select count(DISTINCT staff_id) / count(*) AS staff_id_selectivity, count(DISTINCT customer_id) / count(*) AS customer_id_selectivity, count(*) from payment\G;
- *************************** 1. row ***************************
- staff_id_selectivity: 0.0005
- customer_id_selectivity: 0.0500
- count(*): 10000000
- 1 row in set (6.29 sec)
customer_id的選擇性更高,所以將它作為索引列的***位。
多列索引只能匹配最左前綴,也就是說:
- select * from payment where staff_id = 2205 AND customer_id = 93112 ;
- select count(*) from payment where customer_id = 93112 ;
可以利用索引,但是
- select * from payment where staff_id = 2205 ;
不能利用索引。