sql server 大数据， 统计分组查询，数据量比较大计算十分钟内每秒钟执行次数

-- 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

原文地址：https://www.cnblogs.com/FGang/p/11330736.html