这篇文章将为大家详细讲解有关Mysql在LONGTEXT字段上作like操作的消耗是怎样的，文章内容质量较高，因此小编分享给大家做个参考，希望大家阅读完这篇文章后对相关知识有一定的了解。# Mysql 5140 @ RHEL 5u4 X86_64# 先提供一些表的信息:
===================================================================
root@127.0.0.1 : trac_apsara 17:18:46> show create table wiki G
*************************** 1. row ***************************
Table: wiki
Create Table: CREATE TABLE `wiki` (
`name` longtext COLLATE utf8_bin,
`version` int(11) DEFAULT NULL,
`time` bigint(20) DEFAULT NULL,
`author` longtext COLLATE utf8_bin,
`ipnr` longtext COLLATE utf8_bin,
`text` longtext COLLATE utf8_bin,
`comment` longtext COLLATE utf8_bin,
`readonly` int(11) DEFAULT NULL,
KEY `wiki_time_idx` (`time`),
KEY `name_ver_ind` (`name`(200),`version`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin
1 row in set (0.00 sec)
root@127.0.0.1 : trac_apsara 17:19:04> select count(*) from wiki;
+———-+
| count(*) |
+———-+
| 76514 |
+———-+
1 row in set (0.03 sec)root@127.0.0.1 : trac_apsara 17:19:08> select count(distinct name ) from wiki;
+———————–+
| count(distinct name ) |
+———————–+
| 40369 |
+———————–+
1 row in set (0.59 sec)root@127.0.0.1 : trac_apsara 17:19:21> show variables like ‘innodb_buffer%’;
+————————-+————+
| Variable_name | Value |
+————————-+————+
| innodb_buffer_pool_size | 1073741824 |
+————————-+————+
1 row in set (0.00 sec)
root@127.0.0.1 : trac_apsara 17:21:08> show table status like ‘wiki’ G
*************************** 1. row ***************************
Name: wiki
Engine: InnoDB
Version: 10
Row_format: Compact
Rows: 336009
Avg_row_length: 4458
Data_length: 1498120192
Max_data_length: 0
Index_length: 10551296
Data_free: 7340032
Auto_increment: NULL
Create_time: 2010-09-29 14:49:20
Update_time: NULL
Check_time: NULL
Collation: utf8_bin
Checksum: NULL
Create_options:
Comment:
1 row in set (0.01 sec)
===================================================================#下面我们来看一下SQL和数据：## SQL1 :
SELECT w1.name,w1.time,w1.author,w1.text
FROM wiki w1,
(SELECT name,max(version) AS ver FROM wiki GROUP BY name) w2
WHERE w1.version = w2.ver AND w1.name = w2.name
AND (w1.name LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
OR w1.author LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
OR w1.text LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
);## SQL2 :
SELECT w1.name,w1.time,w1.author,w1.text
FROM wiki w1,
(SELECT name,max(version) AS ver FROM wiki GROUP BY name) w2
WHERE w1.version = w2.ver AND w1.name = w2.name
AND (w1.name LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
OR w1.author LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
###### OR w1.text LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
);
两个SQL仅一个WHERE条件之差。
root@127.0.0.1 : trac_apsara 17:24:08> explain SELECT w1.name,w1.time,w1.author,w1.text
-> FROM wiki w1,
-> (SELECT name,max(version) AS ver FROM wiki GROUP BY name) w2
-> WHERE w1.version = w2.ver AND w1.name = w2.name
-> AND (w1.name LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> OR w1.author LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> OR w1.text LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> );
+—-+————-+————+——+—————+————–+———+—————-+——–+———————————+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+—-+————-+————+——+—————+————–+———+—————-+——–+———————————+
| 1 | PRIMARY |
| 1 | PRIMARY | w1 | ref | name_ver_ind | name_ver_ind | 608 | w2.name,w2.ver | 3 | Using where |
| 2 | DERIVED | wiki | ALL | NULL | NULL | NULL | NULL | 445724 | Using temporary; Using filesort |
+—-+————-+————+——+—————+————–+———+—————-+——–+———————————+
3 rows in set (1.04 sec)
-> FROM wiki w1,
-> (SELECT name,max(version) AS ver FROM wiki GROUP BY name) w2
-> WHERE w1.version = w2.ver AND w1.name = w2.name
-> AND (w1.name LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> OR w1.author LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> # OR w1.text LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> );
+—-+————-+————+——+—————+————–+———+—————-+——–+———————————+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+—-+————-+————+——+—————+————–+———+—————-+——–+———————————+
| 1 | PRIMARY |
| 1 | PRIMARY | w1 | ref | name_ver_ind | name_ver_ind | 608 | w2.name,w2.ver | 3 | Using where |
| 2 | DERIVED | wiki | ALL | NULL | NULL | NULL | NULL | 445724 | Using temporary; Using filesort |
+—-+————-+————+——+—————+————–+———+—————-+——–+———————————+
3 rows in set (1.03 sec)
root@127.0.0.1 : trac_apsara 17:25:39> reset query cache ;
Query OK, 0 rows affected (0.00 sec)root@127.0.0.1 : trac_apsara 17:25:52> SELECT w1.name,w1.time,w1.author,w1.text
-> FROM wiki w1,
-> (SELECT name,max(version) AS ver FROM wiki GROUP BY name) w2
-> WHERE w1.version = w2.ver AND w1.name = w2.name
-> AND (w1.name LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> OR w1.author LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> # OR w1.text LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> );Empty set (1.31 sec)root@127.0.0.1 : trac_apsara 17:26:12> reset query cache ;
Query OK, 0 rows affected (0.00 sec)root@127.0.0.1 : trac_apsara 17:26:15> SELECT w1.name,w1.time,w1.author,w1.text
-> FROM wiki w1,
-> (SELECT name,max(version) AS ver FROM wiki GROUP BY name) w2
-> WHERE w1.version = w2.ver AND w1.name = w2.name
-> AND (w1.name LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> OR w1.author LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> OR w1.text LIKE ‘%RpcRequestPtr%’ ESCAPE ‘/’
-> );
13 rows in set (3.50 sec)
## 从执行时间来看,
## SQL1 : 3.50 sec , SQL2: 1.31 sec## 从这里我们基本可以判断出来，MYSQL 用了 2.19 sec 在内存开发云主机域名中处理40369次TEXT字段的LIKE模糊查询操作；
## 而从WIKI表INDEX查询40369次，却只用了1.31秒（可能更少），当然数据已经在CACHE里。
## 我们以后做SQL可要注意了。不光是读硬盘会消耗时间，在内存中的LIKE模糊查询操作，也很费时间；关于Mysql在LONGTEXT字段上作like操作的消耗是怎样的就分享到这里了，希望以上内容可以对大家有一定的帮助，可以学到更多知识。如果觉得文章不错，可以把它分享出去让更多的人看到。
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