mysql数据库—表的查询排序操作大全

表的查询操作

  select
* from*效率低   select * fromwhere id > 1   select nid,name,gender as gg fromwhere id > 1    as相当于取别名,别名为gg   select count(id) from userinfo5; 查询表内有多少条数据   select * from tb12; select id,name from tb12; select id,name from tb12 where id > 10 or name ='xxx'; select id,name as cname from tb12 where id > 10 or name ='xxx'; select name,age,11 from tb12; 多加了一列11 其他: select * from tb12 where id != 1 select * from tb12 where id in (1,5,12); select * from tb12 where id not in (1,5,12); select * from tb12 where id in (select id from tb11) select * from tb12 where id between 5 and 12; 闭区间 通配符: select * from tb12 where name like "a%" 以a开头的所有(多个字符) select * from tb12 where name like "a_" 以a开头的所有(一个字符) 分页: select * from tb12 limit 10; select * from tb12 limit 0,10; 0开始位置行,10查看的行数 select * from tb12 limit 10,10; select * from tb12 limit 20,10; select * from tb12 limit 10 offset 20; 20开始位置行,10查看的行数 排序: select * from tb12 order by id desc; 大到小 select * from tb12 order by id asc; 小到大 select * from tb12 order by age desc,id desc; 按优先级安序排列 取后10条数据 select * from tb12 order by id desc limit 10; 分组: select count(id),part_id from userinfo5 group by part_id; 统计数量 select max(id),part_id from userinfo5 group by part_id; part_id重合时,id取max select nin(id),part_id from userinfo5 group by part_id; 聚合函数(去除重复) count max min sum avg 平均值 **** 如果对于聚合函数结果进行二次筛选时?必须使用having **** select count(id),part_id from userinfo5 group by part_id having count(id) > 1; select count(id),part_id from userinfo5 where id > 0 group by part_id having count(id) > 1; 连表操作: select * from userinfo5,department5 where userinfo5.part_id = department5.id select * from userinfo5 left join department5 on userinfo5.part_id = department5.id # 左连接:userinfo5右边允许有空 select * from userinfo5 right join department5 on userinfo5.part_id = department5.id # 右连接:department5左边允许有空 select * from userinfo5 inner join department5 on userinfo5.part_id = department5.id # 内连接:不会出现null select * from userinfo5 full join department5 on userinfo5.part_id = department5.id # 完全连接:左右都可能出现null g、组合(上下连表) 组合,自动处理重合 select nickname from A union select name from B 组合,不处理重合 select nickname from A union all select name from B

 

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