Mysql 千万级别数据数据查询

1.构建数据

--创建MyISAM模式表方便批量跑数据

CREATE TABLE `logs1` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `logtype` varchar(255) DEFAULT NULL,
  `logurl` varchar(255) DEFAULT NULL,
  `logip` varchar(255) DEFAULT NULL,
  `logdz` varchar(255) DEFAULT NULL,
  `ladduser` varchar(255) DEFAULT NULL,
  `lfadduser` varchar(255) DEFAULT NULL,
  `laddtime` datetime DEFAULT NULL,
  `htmlname` varchar(255) DEFAULT NULL,
  PRIMARY KEY (`id`)
) ENGINE=MyISAM  AUTO_INCREMENT=1811 DEFAULT CHARSET=utf8 COMMENT='日志表';

--创建存储过程

DROP PROCEDURE IF EXISTS my_insert;
CREATE PROCEDURE my_insert()
BEGIN
   DECLARE n int DEFAULT 1;
        loopname:LOOP
            INSERT INTO `logs1`(`logtype`,`logurl`,`logip`,`logdz`,`ladduser` ,`lfadduser`,`laddtime`,`htmlname`) VALUES ( 2, '/index', '0:0:0:0:0:0:0:1', null, null, 'null', '2018-05-03 14:02:42', '首页');
            SET n=n+1;
        IF n=10000000 THEN
            LEAVE loopname;
        END IF;
        END LOOP loopname;
END;


--执行存储过程
CALL my_insert();

--数据插入成功后修改表模式InnoDB 时间稍微久点
 alter table `logs1` engine=InnoDB;

2.查询

(1)SELECT COUNT(id) FROM test.logs1
结果: 99999999

(2)SELECT * FROM test.logs1 ORDER BY id ASC LIMIT 100000,100

   结果: [SQL] SELECT * FROM test.logs1 ORDER BY id ASC LIMIT 100000,100

   受影响的行: 0
   时间: 0.169s

(3)SELECT * FROM test.logs1 ORDER BY id ASC LIMIT 1000000,100

结果:[SQL] SELECT * FROM test.logs1 ORDER BY id ASC LIMIT 1000000,100

   受影响的行: 0
   时间: 4.644s

mysql 百万级别查询就会很慢