Sql server 查找最大simultanius发生次数,如果符合条件,则增加变量
我有一项任务,就是将进入一组给定端口(中继)的几个连接汇总到时间段中,并计算结果。我想实现两种类型的计数:Sql server 查找最大simultanius发生次数,如果符合条件,则增加变量,sql-server,stored-procedures,aggregate-functions,sql-server-2019,Sql Server,Stored Procedures,Aggregate Functions,Sql Server 2019,我有一项任务,就是将进入一组给定端口(中继)的几个连接汇总到时间段中,并计算结果。我想实现两种类型的计数: 一次计数应计算到给定插槽中的中继线的连接总数(每个插槽30分钟) 其次,我想找出同时发生的最大连接数:例如总共有10个连接,但其中只有3个同时连接。表中的注释表示“计数组” 表:原始数据 GatewayName StartDateTime DisconnectDateTime ConDur Trunk GW1 2021-02-24 20:01:00.0 2021-02-24 20:05
- 一次计数应计算到给定插槽中的
中继线的连接总数(每个插槽30分钟)
- 其次,我想找出同时发生的最大连接数:例如总共有10个连接,但其中只有3个同时连接。表中的注释表示“计数组”
GatewayName StartDateTime DisconnectDateTime ConDur Trunk
GW1 2021-02-24 20:01:00.0 2021-02-24 20:05:30.0 270000 T1--1,下一步。在discon之前启动
GW1 2021-02-24 20:04:50.0 2021-02-24 20:08:24.0 214000 T1--2
GW12021-02-2420:05:20.6 2021-02-2420:07:50.1149500 T1--3
GW1 2021-02-24 20:15:50.0 2021-02-24 20:17:00.0 70000 T1--0
GW1 2021-02-24 20:20:50.0 2021-02-24 20:21:00.0 10000 T1--1
GW1 2021-02-24 20:20:59.0 2021-02-24 20:24:00.0 181000 T1--2
GW1 2021-02-24 20:23:59.0 2021-02-24 20:28:30.0 271000 T1--3
GW1 2021-02-24 20:26:00.0 2021-02-24 20:29:30.0 210000 T1--4
GW1 2021-02-24 20:27:00.0 2021-02-24 20:29:31.0 151000 T1--5
GW3 2021-02-24 22:46:54.2 2021-02-24 22:48:25.2 91000 T1--0
GW2 2021-02-24 20:41:49.0 2021-02-24 20:43:24.0 95000 T2--0
GW99 2021-02-2422:47:25.1 2021-02-2422:47:54.429300T2--0
迄今为止的结果
我正在运行一个存储过程,创建一个用于生成时间段的计数表
此外,我还创建了一个临时表,在运行时隙排序之前运行,该表的目的是查看下一行StartDateTime
,查看它是否在当前行DisconnectDateTime
之前。此表是作为测试表构建的,以查看是否可以在满足零(0)之前以某种方式对事件进行计数和分组,以便稍后执行max
以一次获得最大数量的事件。不幸的是,我没能弄明白这个机制
GatewayName StartDateTime DisconnectDateTime ConDur Trunk nrDDT sim卡
GW1 2021-02-24 20:01:00.0 2021-02-24 20:05:30.0 270000 T1 2021-02-24 20:04:50.0 1--计数下面的行
GW1 2021-02-24 20:04:50.0 2021-02-24 20:08:24.0 214000 T1 2021-02-24 20:05:20.6 1--已计数
GW1 2021-02-2420:05:20.6 2021-02-2420:07:50.1149500 T1 2021-02-2420:15:50.0——已计数
GW1 2021-02-24 20:15:50.0 2021-02-24 20:17:00.0 70000 T1 2021-02-24 20:20:50.0--跳转到其他位置
GW1 2021-02-24 20:20:50.0 2021-02-24 20:21:00.0 10000 T1 2021-02-24 20:20:59.0 1
GW1 2021-02-24 20:20:59.0 2021-02-24 20:24:00.0 181000 T1 2021-02-24 20:23:59.0 1
GW1 2021-02-24 20:23:59.0 2021-02-24 20:28:30.0 271000 T1 2021-02-24 20:26:00.1
GW1 2021-02-24 20:26:00.0 2021-02-24 20:29:30.0 210000 T1 2021-02-24 20:27:00.1
GW1 2021-02-24 20:27:00.0 2021-02-24 20:29:31.0 151000 T1 2021-02-24 22:46:54.2 0
GW3 2021-02-24 22:46:54.2 2021-02-24 22:48:25.2 91000 T1空0
GW2021-02-2420:41:49.021-02-2420:43:24.095000 t22021-02-2422:47:25.10
GW99 2021-02-24 22:47:25.1 2021-02-24 22:47:54.4 29300 T2空0
问题是,如果满足我的case
条件(sim列),我想增加一个计数,我已经尝试使用全局变量和局部变量,但是它会为每一行重置,如果输入了我的else
子句,我无法强制它返回到0
创建或更改过程GenerateRunkSum
@日期时间2(7),
@句号int
作为
开始
声明@raw_数据表
(
网关名称varchar(23),
StartDateTime日期时间2(7),
断开日期时间日期时间2(7),
连接持续时间int,
主干varchar(10)
);
--创建测试数据
插入@raw_数据值('GW1','2021-02-24 20:01:00.0','2021-02-24 20:05:30.0','DATEDIFF(毫秒,'2021-02-24 20:01:00.0','2021-02-24 20:05:30.0','T1'))
插入@raw_数据值('GW1','2021-02-24 20:05:20.6','2021-02-24 20:07:50.1','DATEDIFF(毫秒,'2021-02-24 20:05:20.6','2021-02-24 20:07:50.1','T1'))
在@raw_数据值中插入('GW1','2021-02-24 20:04:50.0','2021-02-24 20:08:24.0','DATEDIFF(毫秒,'2021-02-24 20:04:50.0','2021-02-24 20:08:24.0','T1'))
插入@raw_数据值('GW1','2021-02-24 20:15:50.0','2021-02-24 20:17:00.0','DATEDIFF(毫秒,'2021-02-24 20:15:50.0','2021-02-24 20:17:00.0','T1'))
插入@raw_数据值('GW1','2021-02-24 20:20:50.0','2021-02-24 20:21:00.0','DATEDIFF(毫秒,'2021-02-24 20:50.0','2021-02-24 20:21:00.0','T1'))
插入@raw_数据值('GW1','2021-02-24 20:20:59.0','2021-02-24 20:24:00.0','DATEDIFF(毫秒,'2021-02-24 20:20:59.0','2021-02-24 20:24:00.0','T1'))
在@raw_数据值中插入('GW1','2021-02-24 20:25:00.0','2021-02-24 20:28:30.0','DATEDIFF(毫秒,'2021-02-24 20:25:00.0','2021-02-24 20:28:30.0','T1'))
插入@raw_数据值('GW2','2021-02-24 20:41:49.0','2021-02-24 20:43:24.0','DATEDIFF(毫秒,'2021-02-24 20:41:49.0','2021-02-24 20:43:24.0','T2'))
插入@raw_数据值('GW3','2021-02-24 22:46:54.2','2021-02-24 22:48:25.2','DATEDIFF(毫秒,'2021-02-24 22:46:54.2','2021-02-24 22:48:25.2','T1'))
插入@raw_数据值('GW99','2021-02-24 22:47:25.1','
Trunk Start Period All sim
T1 2021:02:24 22:30:0.0 1800 5 2
CREATE OR ALTER PROCEDURE [dbo].[GenerateTrunkSumv1]
@date datetime2(1),
@ST datetime2(1),
@DT datetime2(1),
@tn varchar(23),
@period int
AS
BEGIN
WITH TrunkGroup
AS (
SELECT
IngressTrunkGroup as Trunk
,StartDateTime
,DisconnectDateTime
FROM
[dbo].[CDR_RAW]
UNION ALL
SELECT
EgressTrunkGroup
,StartDateTime
,DisconnectDateTime
FROM
[dbo].[CDR_RAW]
),
Times AS
(SELECT
rd.StartDateTime tm
,rd.Trunk
FROM TrunkGroup rd
UNION
SELECT
rd.DisconnectDateTime
,rd.Trunk
FROM TrunkGroup rd),
intervals
AS
(SELECT
tm tm1
,LEAD(tm, 1) OVER (PARTITION BY Trunk ORDER BY tm) tm2
,Trunk
FROM Times)
SELECT
i.Trunk
,i.tm1
,i.tm2
,COUNT(*) simultaneous
INTO #TEMP
FROM intervals i
INNER JOIN TrunkGroup rd
ON rd.DisconnectDateTime >= i.tm1
AND rd.StartDateTime < i.tm2
AND i.Trunk = rd.Trunk
AND i.tm2 IS NOT null
GROUP BY i.Trunk
,i.tm1
,i.tm2
ORDER BY i.Trunk,i.tm1
;
WITH Numbers(val) AS
(
SELECT
1
UNION ALL
SELECT
val + 1
FROM
numbers
WHERE
val < 48
)
SELECT
PeriodSummary.period_start
,PeriodSummary.period_end
,PeriodSummary.Period
,PeriodSummary.Trunk
,PeriodSummary.[all]
,PeriodSummary.simultaneous
FROM
(
SELECT
pers.period_start
,pers.period_end
,@period as [Period]
,src.Trunk
,src.simultaneous
,COUNT(*) as [all]
FROM
(
SELECT
dateadd(minute, (val - 1) * 30, '20210224') as period_start
,dateadd(minute, (val ) * 30, '20210224') as period_end
FROM
numbers
) pers
INNER JOIN
#TEMP as src
ON src.tm1 >= pers.period_start
AND src.tm1 < pers.period_end
GROUP BY
src.Trunk
,pers.period_start
,pers.period_end
,src.simultaneous
) PeriodSummary
END
GO
EXECUTE [dbo].[GenerateTrunkSumv1] @date = '20210224', @period = 1800, @ST = '2021-02-24 20:00:00.0', @DT = '2021-02-24 22:30:00.0000000', @tn = 'test';
SELECT @@ROWCOUNT as 'Inserted'
GO
period_start period_end Period Trunk all simultaneous
2021-02-24 20:00:00.0 2021-02-24 20:30:00.0 1800 I1 1 1
2021-02-24 20:00:00.0 2021-02-24 20:30:00.0 1800 I1 1 2
2021-02-24 20:30:00.0 2021-02-24 21:00:00.0 1800 I1 6 1
2021-02-24 20:30:00.0 2021-02-24 21:00:00.0 1800 I1 22 2
2021-02-24 20:30:00.0 2021-02-24 21:00:00.0 1800 I1 16 3
2021-02-24 20:30:00.0 2021-02-24 21:00:00.0 1800 I2 1 1
2021-02-24 20:30:00.0 2021-02-24 21:00:00.0 1800 I2 2 2
--Surrounding rows causing this issue
I1 2021-02-24 20:23:43.1 2021-02-24 20:24:34.6 1
I1 2021-02-24 20:24:34.6 2021-02-24 20:31:09.5 2
I1 2021-02-24 20:31:09.5 2021-02-24 20:32:32.9 3
I1 2021-02-24 20:32:32.9 2021-02-24 20:32:42.3 3
I1 2021-02-24 20:32:42.3 2021-02-24 20:32:51.4 3
I1 2021-02-24 20:32:51.4 2021-02-24 20:33:05.1 3
WITH Times
AS
(SELECT
rd.StartDateTime tm
,rd.Trunk
FROM #raw_data rd
UNION
SELECT
rd.DisconnectDateTime
,rd.Trunk
FROM #raw_data rd)
intervals
AS
(SELECT
tm tm1
,LEAD(tm, 1) OVER (PARTITION BY Trunk ORDER BY tm) tm2
,Trunk
FROM Times)
SELECT
i.Trunk
,i.tm1
,i.tm2
,COUNT(*) simultaneous
FROM intervals i
INNER JOIN #raw_data rd
ON rd.DisconnectDateTime >= i.tm1
AND rd.StartDateTime < i.tm2
AND i.Trunk = rd.Trunk
AND i.tm2 IS NOT null
GROUP BY i.Trunk
,i.tm1
,i.tm2
ORDER BY i.trunk,i.tm1
+-------+-----------------------------+-----------------------------+--------------+
| Trunk | tm1 | tm2 | simultaneous |
+-------+-----------------------------+-----------------------------+--------------+
| T1 | 2021-02-24 20:01:00.0000000 | 2021-02-24 20:04:50.0000000 | 1 |
| T1 | 2021-02-24 20:04:50.0000000 | 2021-02-24 20:05:20.6000000 | 2 |
| T1 | 2021-02-24 20:05:20.6000000 | 2021-02-24 20:05:30.0000000 | 3 |
| T1 | 2021-02-24 20:05:30.0000000 | 2021-02-24 20:07:50.1000000 | 3 |
| T1 | 2021-02-24 20:07:50.1000000 | 2021-02-24 20:08:24.0000000 | 2 |
| T1 | 2021-02-24 20:08:24.0000000 | 2021-02-24 20:15:50.0000000 | 1 |
| T1 | 2021-02-24 20:15:50.0000000 | 2021-02-24 20:17:00.0000000 | 1 |
| T1 | 2021-02-24 20:17:00.0000000 | 2021-02-24 20:20:50.0000000 | 1 |
| T1 | 2021-02-24 20:20:50.0000000 | 2021-02-24 20:20:59.0000000 | 1 |
| T1 | 2021-02-24 20:20:59.0000000 | 2021-02-24 20:21:00.0000000 | 2 |
| T1 | 2021-02-24 20:21:00.0000000 | 2021-02-24 20:24:00.0000000 | 2 |
| T1 | 2021-02-24 20:24:00.0000000 | 2021-02-24 20:25:00.0000000 | 1 |
| T1 | 2021-02-24 20:25:00.0000000 | 2021-02-24 20:28:30.0000000 | 1 |
| T1 | 2021-02-24 20:28:30.0000000 | 2021-02-24 22:46:54.2000000 | 1 |
| T1 | 2021-02-24 22:46:54.2000000 | 2021-02-24 22:48:25.2000000 | 1 |
| T2 | 2021-02-24 20:41:49.0000000 | 2021-02-24 20:43:24.0000000 | 1 |
| T2 | 2021-02-24 20:43:24.0000000 | 2021-02-24 22:47:25.1000000 | 1 |
| T2 | 2021-02-24 22:47:25.1000000 | 2021-02-24 22:47:54.4000000 | 1 |
+-------+-----------------------------+-----------------------------+--------------+
WITH Times
AS
(SELECT
rd.StartDateTime tm
,rd.Trunk
FROM #raw_data rd
UNION
SELECT
rd.DisconnectDateTime
,rd.Trunk
FROM #raw_data rd),
intervals
AS
(SELECT
tm tm1
,LEAD(tm, 1) OVER (PARTITION BY Trunk ORDER BY tm) tm2
,Trunk
FROM Times)
SELECT
i.Trunk
,i.tm1
,i.tm2
,COUNT(*) simultaneous
FROM intervals i
INNER JOIN #raw_data rd
ON rd.DisconnectDateTime >= i.tm1
AND rd.StartDateTime < i.tm2
AND i.Trunk = rd.Trunk
AND i.tm2 IS NOT null
GROUP BY i.Trunk
,i.tm1
,i.tm2
ORDER BY i.trunk,i.tm1