2.基于性能的考虑
CREATE TABLE `category_info_varchar_50` ( `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键', `name` varchar(50) NOT NULL COMMENT '分类名称', `is_show` tinyint(4) NOT NULL DEFAULT '0' COMMENT '是否展示:0 禁用,1启用', `sort` int(11) NOT NULL DEFAULT '0' COMMENT '序号', `deleted` tinyint(1) DEFAULT '0' COMMENT '是否删除', `create_time` datetime NOT NULL COMMENT '创建时间', `update_time` datetime NOT NULL COMMENT '更新时间', PRIMARY KEY (`id`) USING BTREE, KEY `idx_name` (`name`) USING BTREE COMMENT '名称索引' ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='分类'; CREATE TABLE `category_info_varchar_500` ( `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键', `name` varchar(500) NOT NULL COMMENT '分类名称', `is_show` tinyint(4) NOT NULL DEFAULT '0' COMMENT '是否展示:0 禁用,1启用', `sort` int(11) NOT NULL DEFAULT '0' COMMENT '序号', `deleted` tinyint(1) DEFAULT '0' COMMENT '是否删除', `create_time` datetime NOT NULL COMMENT '创建时间', `update_time` datetime NOT NULL COMMENT '更新时间', PRIMARY KEY (`id`) USING BTREE, KEY `idx_name` (`name`) USING BTREE COMMENT '名称索引' ) ENGINE=InnoDB AUTO_INCREMENT=288135 DEFAULT CHARSET=utf8mb4 COMMENT='分类';2.准备数据
<!-- 堆代码 duidaima.com --> DELIMITER $$ CREATE PROCEDURE batchInsertData(IN total INT) BEGIN DECLARE start_idx INT DEFAULT 1; DECLARE end_idx INT; DECLARE batch_size INT DEFAULT 500; DECLARE insert_values TEXT; SET end_idx = LEAST(total, start_idx + batch_size - 1); WHILE start_idx <= total DO SET insert_values = ''; WHILE start_idx <= end_idx DO SET insert_values = CONCAT(insert_values, CONCAT('(\'name', start_idx, '\', 0, 0, 0, NOW(), NOW()),')); SET start_idx = start_idx + 1; END WHILE; SET insert_values = LEFT(insert_values, LENGTH(insert_values) - 1); -- Remove the trailing comma SET @sql = CONCAT('INSERT INTO category_info_varchar_50 (name, is_show, sort, deleted, create_time, update_time) VALUES ', insert_values, ';'); PREPARE stmt FROM @sql; EXECUTE stmt; SET @sql = CONCAT('INSERT INTO category_info_varchar_500 (name, is_show, sort, deleted, create_time, update_time) VALUES ', insert_values, ';'); PREPARE stmt FROM @sql; EXECUTE stmt; SET end_idx = LEAST(total, start_idx + batch_size - 1); END WHILE; END$$ DELIMITER ; CALL batchInsertData(1000000);3.验证存储空间
SELECT table_schema AS "数据库", table_name AS "表名", table_rows AS "记录数", TRUNCATE ( data_length / 1024 / 1024, 2 ) AS "数据容量(MB)", TRUNCATE ( index_length / 1024 / 1024, 2 ) AS "索引容量(MB)" FROM information_schema.TABLES WHERE table_schema = 'test_mysql_field' and TABLE_NAME = 'category_info_varchar_50' ORDER BY data_length DESC, index_length DESC;查询结果
SELECT table_schema AS "数据库", table_name AS "表名", table_rows AS "记录数", TRUNCATE ( data_length / 1024 / 1024, 2 ) AS "数据容量(MB)", TRUNCATE ( index_length / 1024 / 1024, 2 ) AS "索引容量(MB)" FROM information_schema.TABLES WHERE table_schema = 'test_mysql_field' and TABLE_NAME = 'category_info_varchar_500' ORDER BY data_length DESC, index_length DESC;查询结果
select name from category_info_varchar_50 where name = 'name100000' -- 耗时0.012s select name from category_info_varchar_500 where name = 'name100000' -- 耗时0.012s select name from category_info_varchar_50 order by name; -- 耗时0.370s select name from category_info_varchar_500 order by name; -- 耗时0.379s通过索引覆盖查询性能差别不大
select * from category_info_varchar_50 where name = 'name100000' --耗时 0.012s select * from category_info_varchar_500 where name = 'name100000' --耗时 0.012s select * from category_info_varchar_50 where name in('name100','name1000','name100000','name10000','name1100000', 'name200','name2000','name200000','name20000','name2200000','name300','name3000','name300000','name30000','name3300000', 'name400','name4000','name400000','name40000','name4400000','name500','name5000','name500000','name50000','name5500000', 'name600','name6000','name600000','name60000','name6600000','name700','name7000','name700000','name70000','name7700000','name800', 'name8000','name800000','name80000','name6600000','name900','name9000','name900000','name90000','name9900000') -- 耗时 0.011s -0.014s -- 增加 order by name 耗时 0.012s - 0.015s select * from category_info_varchar_50 where name in('name100','name1000','name100000','name10000','name1100000', 'name200','name2000','name200000','name20000','name2200000','name300','name3000','name300000','name30000','name3300000', 'name400','name4000','name400000','name40000','name4400000','name500','name5000','name500000','name50000','name5500000', 'name600','name6000','name600000','name60000','name6600000','name700','name7000','name700000','name70000','name7700000','name800', 'name8000','name800000','name80000','name6600000','name900','name9000','name900000','name90000','name9900000') -- 耗时 0.012s -0.014s -- 增加 order by name 耗时 0.014s - 0.017s索引范围查询性能基本相同, 增加了order By后开始有一定性能差别;
select * from category_info_varchar_50; --耗时 0.875s select * from category_info_varchar_500; --耗时 0.866s 全表有排序 select * from category_info_varchar_50 order by name ; --耗时 1.498s select * from category_info_varchar_500 order by name ; --耗时 4.875s结论: