sql server 大数据， 统计分组查询，数据量比较大计算每秒钟执行数据执行次数

-- 数据量比较大的情况，统计十分钟内每秒钟执行次数

declare @begintime varchar(100);    -- 开始时间
    declare @endtime varchar(100);        -- 结束时间
    declare @num int;        -- 结束时间
    set @begintime = '2019-08-10 09:10:00'    -- 开始时间
    set @endtime = '2019-08-10 09:20:00'    -- 结束时间

    set @num = (select count(1) from PM_SYS_LOGINLOG where CONVERT(varchar(100),loginTime, 20) >= @begintime and CONVERT(varchar(100),loginTime, 20) <= @endtime)

    print(@num)
    select @num as 总条数,
        AVG(调用总数) as 十分钟内每秒平均执行次数
    from
        (select s.请求时间,
                (调用一次的总数+
                    (
                        select 调用多次 from
                        (
                            select 请求时间, COUNT(1) 调用多次 from
                            (
                                select CONVERT(varchar(100),loginTime, 20) as 请求时间, count(1) as 调用次数 from PM_SYS_LOGINLOG
                                    where CONVERT(varchar(100),loginTime, 20) >= @begintime and  CONVERT(varchar(100),loginTime, 20) <= @endtime
                                    group by loginTime having count(1) > 1) o where 请求时间 = s.请求时间 group by o.请求时间
                            ) o
                        )
                    ) as 调用总数
            from
            (
            　　select t.请求时间, count(1) as 调用一次的总数
                from
                (
                    select CONVERT(varchar(100),loginTime, 20) as 请求时间, count(1) as 调用次数
                        from PM_SYS_LOGINLOG
                            where CONVERT(varchar(100),loginTime, 20) >= @begintime and CONVERT(varchar(100),loginTime, 20) <= @endtime
                        group by loginTime having count(1) = 1
                ) t group by 请求时间
            ) s
        ) m

查询前一秒执行次数

declare @str varchar(100);
set @str = convert(varchar,dateadd(ss,-1,getdate()),20)
--select @str
--print(@str)

select @str as 执行时间, count(1) + (
    select count(1) from (select top 20 CONVERT(varchar(100),loginTime, 20) as 请求时间,
        count(1) as 调用次数 from PM_SYS_LOGINLOG
        where CONVERT(varchar(100),loginTime, 20) = @str
        group by loginTime
        having count(1) = 2
        order by loginTime desc) as o
    ) as 执行次数
from (
    select top 20 CONVERT(varchar(100),loginTime, 20) as 请求时间,
    count(1) as 调用次数 from PM_SYS_LOGINLOG
    where CONVERT(varchar(100),loginTime, 20) = @str
    group by loginTime
    --having count(1) = 1
    order by loginTime desc
) t 

聚合函数分组查询最大值

select max(t.总数) as 最大值 from (select Token as 令牌, count(1) as 总数 from PM_SYS_LOGINLOG group by token having count(1) > max(1)) as t

select top 1 count(1) as 总数 from PM_SYS_LOGINLOG group by token having count(1) > 1 order by 总数 desc

第二次优化统计半个小时时间统计每秒钟执行次数条数

declare @begintime varchar(100);    -- 开始时间
    declare @endtime varchar(100);        -- 结束时间
    --declare @tmpTab varchar(50);        -- 定义临时表名称前缀
    declare @num int;        -- 结束时间
    set @begintime = '2019-08-10 09:00:00'    -- 开始时间
    set @endtime = '2019-08-10 09:30:00'    -- 结束时间
    -- 定义临时表名称前缀加时间戳
    -- set @tmpTab = '_' + DateName(YEAR,GetDate()) +  DateName(MONTH,GetDate()) +  DateName(DAY,GetDate()) +  DateName(HOUR,GetDate()) + DateName(MINUTE,GetDate()) + DateName(S,GetDate()) + DateName(MILLISECOND,GetDate())

    -- set @num = (select count(1) from PM_SYS_LOGINLOG where CONVERT(varchar(100),loginTime, 20) >= @begintime and CONVERT(varchar(100),loginTime, 20) <= @endtime)

    --print(@data)
    print(@num)
    --print(@tmpTab)

    -- 创建临时表 判断是否存在如果不存在则删除
    if exists(select * from sys.tables where name = '_tmpTab')
    begin
        drop table _tmpTab
    end
        -- 创建临时表
    create table _tmpTab
    (
        ID int,
        LoginName nvarchar(20),
        Token varchar(50),
        loginTime datetime,
    )
    -- 将数据插入到临时表
    insert into _tmpTab(id, loginName,loginTime, Token)
    (select ID, LoginName, loginTime, Token from PM_SYS_LOGINLOG where CONVERT(varchar(100),loginTime, 20) >= @begintime and CONVERT(varchar(100),loginTime, 20) <= @endtime)

    -- 查询统计临时表数据总条数
    set @num = (select count(1) from _tmpTab)

    select @num as 总条数,
        AVG(调用总数) as 十分钟内每秒平均执行次数
    from
        (select s.请求时间,
                (调用一次的总数+
                    (
                        select 调用多次 from
                        (
                            select 请求时间, COUNT(1) 调用多次 from
                            (
                                select CONVERT(varchar(100),loginTime, 20) as 请求时间, count(1) as 调用次数 from _tmpTab
                                    where CONVERT(varchar(100),loginTime, 20) >= @begintime and  CONVERT(varchar(100),loginTime, 20) <= @endtime
                                    group by loginTime having count(1) > 1) o where 请求时间 = s.请求时间 group by o.请求时间
                            ) o
                        )
                    ) as 调用总数
            from
            (
                select t.请求时间, count(1) as 调用一次的总数
                from
                (
                    select CONVERT(varchar(100),loginTime, 20) as 请求时间, count(1) as 调用次数
                        from _tmpTab
                            where CONVERT(varchar(100),loginTime, 20) >= @begintime and CONVERT(varchar(100),loginTime, 20) <= @endtime
                        group by loginTime having count(1) = 1
                ) t group by 请求时间
            ) s
        ) m

        -- 使用完毕删除临时表
        drop table _tmpTab

第三次最终优化

    declare @begintime varchar(100);    -- 开始时间
    declare @endtime varchar(100);        -- 结束时间
    declare @startTime datetime;        -- 查询开始时间
    declare @num int;                    -- 数据总条数
    set @begintime = '2019-08-10 08:00:00'    -- 开始时间
    set @endtime = '2019-08-10 14:20:00'    -- 结束时间

    set @startTime = GETDATE();

    -- 创建临时表 判断是否存在如果不存在则删除
    if exists(select * from sys.tables where name = '_tmpTab')
    begin
        drop table _tmpTab
    end
        -- 创建临时表
    create table _tmpTab
    (
        ID int,
        LoginName nvarchar(20),
        Token varchar(50),
        loginTime datetime,
    )

    -- 将数据插入到临时表
    insert into _tmpTab(id, loginName,loginTime, Token)
    (select ID, LoginName, loginTime, Token from PM_SYS_LOGINLOG where CONVERT(varchar(100),loginTime, 20) >= @begintime and CONVERT(varchar(100),loginTime, 20) <= @endtime)

    -- 创建临时表用于存储临时查到的数据进行求平均数
    if exists(select * from sys.tables where name = '_tmpAvg')
    begin
        drop table _tmpAvg
    end

    -- 创建临时表存储查询到的数据
    create table _tmpAvg
    (
        reqTime varchar(100),
        reqNum int
    )

    -- 查询统计临时表数据总条数
    set @num = (select count(1) from _tmpTab)

    -- 添加数据到临时表
    insert into _tmpAvg(reqTime, reqNum)
        (select x.reqTime, (x.reqNum+m.reqNum) as reqNum
            from (
                (select reqTime, sum(1) reqNum from
                    (select CONVERT(varchar(100),loginTime, 20) as reqTime, (count(1) * 1) as reqNum from _tmpTab
                        where CONVERT(varchar(100),loginTime, 20) >= @begintime and  CONVERT(varchar(100),loginTime, 20) <= @endtime
                        group by loginTime having count(1) = 1
                    ) o group by o.reqTime
                ) as x left join
                (select reqTime, sum(1) as reqNum from
                    (select CONVERT(varchar(100),loginTime, 20) as reqTime, (count(1) * 2) as reqNum from _tmpTab
                        where CONVERT(varchar(100),loginTime, 20) >= @begintime and  CONVERT(varchar(100),loginTime, 20) <= @endtime
                        group by loginTime having count(1) = 2
                    ) o group by o.reqTime
            ) as m on x.reqTime = m.reqTime))

    select DATEDIFF(MILLISECOND, @startTime, GETDATE()) as 查询耗时单位秒, @num as 数据总条数, avg(reqNum) 每秒钟执行次数, @begintime 查询开始时间, @endtime as 查询结束时间  from _tmpAvg 

    -- 使用完毕删除临时表
    drop table _tmpAvg
    drop table _tmpTab

最后优化结果：平均每秒钟执行计算 10 条数据

新手初来乍到：代码亲笔手写，高手路过勿喷，请多多指点

原链接：https://www.cnblogs.com/FGang/p/11330736.html