ICode9

精准搜索请尝试: 精确搜索
首页 > 数据库> 文章详细

SQL查询效率,100w数据

2021-06-03 14:33:47  阅读:204  来源: 互联网

标签:classid default int 查询 -- userinfo SQL 100w null


SQL优化—SQL查询效率,100w数据,查询只要1秒

https://www.cnblogs.com/ShaYeBlog/p/3227244.html

 

其他 测试

-- setp 1.
-- 建表
create table t_userinfo
(
userid int identity(1,1) primary key nonclustered,
nick varchar(50) not null default '',
classid int not null default 0,
writetime datetime not null default getdate()
)
go

-- 建索引
create clustered index ix_userinfo_classid on t_userinfo(classid)
go

-- step 2.

declare @i int 
declare @k int
declare @nick varchar(10)
set @i = 1
while @i<1000000
begin
set @k = @i % 10
set @nick = convert(varchar,@i)
insert into t_userinfo(nick,classid,writetime) values(@nick,@k,getdate())
set @i = @i + 1
end
-- 耗时 08:27 ,需要耐心等待

-- step 3.
select top 20 userid,nick,classid,writetime from t_userinfo 
where userid not in
(
select top 900000 userid from t_userinfo order by userid asc
)

-- 耗时 8 秒 ,够长的
-- step 4.
select a.userid,b.nick,b.classid,b.writetime from
(
    select top 20 a.userid from 
    (
    select top 900020 userid from t_userinfo order by userid asc
    ) a order by a.userid desc

) a 
inner join 
t_userinfo b 
on 
a.userid = b.userid 
order by a.userid asc

-- 耗时 1 秒,太快了吧,不可以思议

-- step 5 where 查询
select top 20 userid,nick,classid,writetime from t_userinfo where 1=1
and classid = 1 and userid not in
(
    select top 90000 userid from t_userinfo 
    where classid = 1
    order by userid asc
)
-- 耗时 2 秒
-- step 6 where 查询
select a.userid,b.nick,b.classid,b.writetime from
(
    select top 20 a.userid from 
    (
    select top 90000 userid from t_userinfo
    where classid = 1
    order by userid asc
    ) a order by a.userid desc
) a
 inner join 
 t_userinfo b 
on a.userid = b.userid 
order by a.userid asc

-- 查询分析器显示不到 1 秒.

--查询数据个数
select count(*) from t_userinfo     --999999


--测试 
select top 20 userid,nick,classid,writetime from t_userinfo 
where userid not in
(
select top 900000 userid from t_userinfo order by userid asc
)
-- setp 1.
-- 建表
create table t_userinfo
(
userid int identity(1,1) primary key nonclustered,
nick varchar(50) not null default '',
classid int not null default 0,
writetime datetime not null default getdate()
)
go

-- 建索引
create clustered index ix_userinfo_classid on t_userinfo(classid)
go

-- step 2.

declare @i int 
declare @k int
declare @nick varchar(10)
set @i = 1
while @i<1000000
begin
set @k = @i % 10
set @nick = convert(varchar,@i)
insert into t_userinfo(nick,classid,writetime) values(@nick,@k,getdate())
set @i = @i + 1
end
-- 耗时 08:27 ,需要耐心等待

-- step 3.
select top 20 userid,nick,classid,writetime from t_userinfo 
where userid not in
(
select top 900000 userid from t_userinfo order by userid asc
)

-- 耗时 8 秒 ,够长的
-- step 4.
select a.userid,b.nick,b.classid,b.writetime from
(
    select top 20 a.userid from 
    (
    select top 900020 userid from t_userinfo order by userid asc
    ) a order by a.userid desc

) a 
inner join 
t_userinfo b 
on 
a.userid = b.userid 
order by a.userid asc

-- 耗时 1 秒,太快了吧,不可以思议

-- step 5 where 查询
select top 20 userid,nick,classid,writetime from t_userinfo where 1=1
and classid = 1 and userid not in
(
    select top 90000 userid from t_userinfo 
    where classid = 1
    order by userid asc
)
-- 耗时 2 秒
-- step 6 where 查询
select a.userid,b.nick,b.classid,b.writetime from
(
    select top 20 a.userid from 
    (
    select top 90000 userid from t_userinfo
    where classid = 1
    order by userid asc
    ) a order by a.userid desc
) a
 inner join 
 t_userinfo b 
on a.userid = b.userid 
order by a.userid asc

-- 查询分析器显示不到 1 秒.

--查询数据个数
select count(*) from t_userinfo     --999999


--测试 
select top 20 userid,nick,classid,writetime from t_userinfo 
where userid not in
(
select top 900000 userid from t_userinfo order by userid asc
)

 

标签:classid,default,int,查询,--,userinfo,SQL,100w,null
来源: https://www.cnblogs.com/enych/p/14845009.html

本站声明: 1. iCode9 技术分享网(下文简称本站)提供的所有内容,仅供技术学习、探讨和分享;
2. 关于本站的所有留言、评论、转载及引用,纯属内容发起人的个人观点,与本站观点和立场无关;
3. 关于本站的所有言论和文字,纯属内容发起人的个人观点,与本站观点和立场无关;
4. 本站文章均是网友提供,不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属;如您发现该文章侵犯了您的权益,可联系我们第一时间进行删除;
5. 本站为非盈利性的个人网站,所有内容不会用来进行牟利,也不会利用任何形式的广告来间接获益,纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。

专注分享技术,共同学习,共同进步。侵权联系[81616952@qq.com]

Copyright (C)ICode9.com, All Rights Reserved.

ICode9版权所有