I'm working on a SQL server (used by BMC) to grab the uptime of some devices.
I've got a query that display me results like this:
| DeviceName | EventDate | EventType |
| ---------- | ----------------------- | ---------- |
| 1 | 2021-02-15 08:06:12.000 | getting up |
| 1 | 2021-02-12 15:07:26.000 | going down |
| 2 | 2021-02-16 08:12:54.000 | getting up |
| 2 | 2021-02-12 15:43:00.000 | going down |
| 3 | 2021-02-15 07:47:42.000 | getting up |
| 3 | 2021-02-12 15:38:41.000 | going down |
| 4 | 2021-02-15 08:10:07.000 | getting up |
| 5 | 2021-02-18 06:41:40.000 | getting up |
| ... | ... | ... |
I would like to get a result that looks like that:
| DeviceName | TotalUpTime (min) |
| ---------- | ----------------- |
| 1 | 16543 |
| 2 | 13639 |
| 3 | 13524 |
| 4 | 19235 |
| 5 | 12347 |
Here is my current query:
SELECT
DeviceName,
EventDate,
EventType
FROM **irrelevant complexe SELECT query**
ORDER BY DeviceName, EventDate DESC
Any help would be great!!
Many thx in advance!
SOLUTION:
Ok, here's what worked for me:
SELECT
DeviceName,
DATEDIFF(s, EventDate, EndTime)/60 AS [TotalUpTime (min)]
FROM (
SELECT *,
LEAD(CASE WHEN EventType = 32 THEN EventDate END, 1, GETDATE())
OVER (PARTITION BY DeviceName ORDER BY EventDate) AS EndTime
FROM (
**Irrelevant SELECT query**
) r
) s
WHERE EventType = 16 AND EndTime IS NOT NULL
Many thanks to #Charlieface whos response helped me a lot.
Hope this help someone someday, even if it's very specific.
SELECT
DeviceName,
SUM(DATEDIFF(ms, EventDate, EndTime) / 60000.0) AS [TotalUpTime (min)]
FROM (
SELECT *,
LEAD(CASE WHEN EventType = 'going down' THEN EventDate END, 1, GETDATE()) OVER
OVER (PARTITION BY DeviceName ORDER BY EventDate) AS EndTime
FROM table
)
WHERE EventType = 'getting up' AND EndTime IS NOT NULL
GROUP BY DeviceName
I have a table with start and end dates for team consultations with customers.
I need to merge certain consultations based on a number of days specified in another column (sometimes the consultations may overlap, sometimes they are contiguous, sometimes they arent), Team and Type.
Some example data is as follows:
DECLARE #TempTable TABLE([CUSTOMER_ID] INT
,[TEAM] VARCHAR(1)
,[TYPE] VARCHAR(1)
,[START_DATE] DATETIME
,[END_DATE] DATETIME
,[GROUP_DAYS_CRITERIA] INT)
INSERT INTO #TempTable VALUES (1,'A','A','2013-08-07','2013-12-31',28)
,(2,'B','A','2015-05-15','2015-05-28',28)
,(2,'B','A','2015-05-15','2016-05-12',28)
,(2,'B','A','2015-05-28','2015-05-28',28)
,(3,'C','A','2013-05-27','2014-07-23',28)
,(3,'C','A','2015-01-12','2015-05-28',28)
,(3,'B','A','2015-01-12','2015-05-28',28)
,(3,'C','A','2015-05-28','2015-05-28',28)
,(3,'C','A','2015-05-28','2015-12-17',28)
,(4,'A','B','2013-07-09','2014-04-21',7)
,(4,'A','B','2014-04-29','2014-08-01',7)
Which looks like this:
+-------------+------+------+------------+------------+---------------------+
| CUSTOMER_ID | TEAM | TYPE | START_DATE | END_DATE | GROUP_DAYS_CRITERIA |
+-------------+------+------+------------+------------+---------------------+
| 1 | A | A | 07/08/2013 | 31/12/2013 | 28 |
| 2 | B | A | 15/05/2015 | 28/05/2015 | 28 |
| 2 | B | A | 15/05/2015 | 12/05/2016 | 28 |
| 2 | B | A | 28/05/2015 | 28/05/2015 | 28 |
| 3 | C | A | 27/05/2013 | 23/07/2014 | 28 |
| 3 | C | A | 12/01/2015 | 28/05/2015 | 28 |
| 3 | B | A | 12/01/2015 | 28/05/2015 | 28 |
| 3 | C | A | 28/05/2015 | 28/05/2015 | 28 |
| 3 | C | A | 28/05/2015 | 17/12/2015 | 28 |
| 4 | A | B | 09/07/2013 | 21/04/2014 | 7 |
| 4 | A | B | 29/04/2014 | 01/08/2014 | 7 |
+-------------+------+------+------------+------------+---------------------+
My desired output is as follows:
+-------------+------+------+------------+------------+---------------------+
| CUSTOMER_ID | TEAM | TYPE | START_DATE | END_DATE | GROUP_DAYS_CRITERIA |
+-------------+------+------+------------+------------+---------------------+
| 1 | A | A | 07/08/2013 | 31/12/2013 | 28 |
| 2 | B | A | 15/05/2015 | 12/05/2016 | 28 |
| 3 | C | A | 27/05/2013 | 23/07/2014 | 28 |
| 3 | C | A | 12/01/2015 | 17/12/2015 | 28 |
| 3 | B | A | 12/01/2015 | 28/05/2015 | 28 |
| 4 | A | B | 09/07/2013 | 21/04/2014 | 7 |
| 4 | A | B | 29/04/2014 | 01/08/2014 | 7 |
+-------------+------+------+------------+------------+---------------------+
I am struggling to do this at all, let alone with any efficiency! Any ideas / code will be greatly received.
Server version is MS SQL Server 2014
Thanks,
Dan
If I am understanding your question correctly, we want to return rows only when a second, third, etc consultation has not occurred within group_days_criteria number of days after the previous consultation end date.
We can get the previous consultation end date and eliminate rows (since we are not concerned with the number of consultations) where a consultation occurred for the same customer by the same team and of the same consultation type within our date range.
DECLARE #TempTable TABLE([CUSTOMER_ID] INT
,[TEAM] VARCHAR(1)
,[TYPE] VARCHAR(1)
,[START_DATE] DATETIME
,[END_DATE] DATETIME
,[GROUP_DAYS_CRITERIA] INT)
INSERT INTO #TempTable VALUES (1,'A','A','2013-08-07','2013-12-31',28)
,(2,'B','A','2015-05-15','2015-05-28',28)
,(2,'B','A','2015-05-15','2016-05-12',28)
,(2,'B','A','2015-05-28','2015-05-28',28)
,(3,'C','A','2013-05-27','2014-07-23',28)
,(3,'C','A','2015-01-12','2015-05-28',28)
,(3,'B','A','2015-01-12','2015-05-28',28)
,(3,'C','A','2015-05-28','2015-05-28',28)
,(3,'C','A','2015-05-28','2015-12-17',28)
,(4,'A','B','2013-07-09','2014-04-21',7)
,(4,'A','B','2014-04-29','2014-08-01',7)
;with prep as (
select Customer_ID,
Team,
[Type],
[Start_Date],
[End_Date],
Group_Days_Criteria,
ROW_NUMBER() over (partition by customer_id, team, [type] order by [start_date] asc, [end_date] desc) as rn, -- earliest start date with latest end date
lag([End_Date] + Group_Days_Criteria, 1, 0) over (partition by customer_id, team, [type] order by [start_date] asc, [end_date] desc) as PreviousEndDate -- previous end date +
from #TempTable
)
select p.Customer_Id,
p.[Team],
p.[Type],
p.[Start_Date],
p.[End_Date],
p.Group_Days_Criteria
from prep p
where p.rn = 1
or (p.rn != 1 and p.[Start_date] > p.PreviousEndDate)
order by p.Customer_Id, p.[Team], p.[Start_Date], p.[Type]
This returned the desired result set.
First of all please correct me if my title are not specific/clear enough.
I have use the following code to generate the start dates and end dates ：
DECLARE #start_date date, #end_date date;
SET #start_date = '2016-07-01';
with dates as
(
select
#start_date AS startDate,
DATEADD(DAY, 6, #start_date) AS endDate
union all
select
DATEADD(DAY, 7, startDate) AS startDate,
DATEADD(DAY, 7, endDate) AS endDate
from
dates
where
startDate < '2017-03-31'
)
select * from dates
Below is part of the output from above query ：
+------------+------------+
| startDate | endDate |
+------------+------------+
| 2016-07-01 | 2016-07-07 |
| 2016-07-08 | 2016-07-14 |
| 2016-07-15 | 2016-07-21 |
| 2016-07-22 | 2016-07-28 |
| 2016-07-29 | 2016-08-04 |
+------------+------------+
Now I have another table named sales, which have 3 columns sales_id,sales_date and sales_amount as below :
+----------+------------+--------------+
| sales_ID | sales_date | sales_amount |
+----------+------------+--------------+
| 1 | 2016-07-04 | 10 |
| 2 | 2016-07-06 | 20 |
| 3 | 2016-07-13 | 30 |
| 4 | 2016-07-19 | 15 |
| 5 | 2016-07-21 | 20 |
| 6 | 2016-07-25 | 25 |
| 7 | 2016-07-26 | 40 |
| 8 | 2016-07-29 | 20 |
| 9 | 2016-08-01 | 30 |
| 10 | 2016-08-02 | 30 |
| 11 | 2016-08-03 | 40 |
+----------+------------+--------------+
How can I create the query to show the total sales amount of each week (which is between each startDate and endDate from the first table)? I suppose I will need to use a recursive query with WHERE clause to check if the dates are in between startDate and endDate but I cant find a working example.
Here are my expected result (the startDate and endDate are the records from the first table) :
+------------+------------+--------------+
| startDate | endDate | sales_amount |
+------------+------------+--------------+
| 2016-07-01 | 2016-07-07 | 30 |
| 2016-07-08 | 2016-07-14 | 30 |
| 2016-07-15 | 2016-07-21 | 35 |
| 2016-07-22 | 2016-07-28 | 65 |
| 2016-07-29 | 2016-08-04 | 120 |
+------------+------------+--------------+
Thank you!
Your final Select (after the cte) should be something like this
Select D.*
,Sales_Amount = sum(Sales)
From dates D
Join Sales S on (S.sales_date between D.startDate and D.endDate)
Group By D.startDate,D.endDate
Order By D.startDate
EDIT: You could use a Left Join if you want to see missing dates from
Sales
I'm trying to achieve a report that will show all daily count as well weekly count in the same table. I've tried different techniques that I know but it seems that I wasn't able to get what I want.
I'm trying to show a similar table below.
+-----------+-----+-------+--------+--+--+--+
| August | | Count | | | | |
+-----------+-----+-------+--------+--+--+--+
| 8/1/2013 | Thu | 1,967 | | | | |
| 8/2/2013 | Fri | 1,871 | | | | |
| 8/3/2013 | Sat | 1,950 | | | | |
| 8/4/2013 | Sun | 2,013 | 7801 | | | |
| 8/5/2013 | Mon | 2,039 | | | | |
| 8/6/2013 | Tue | 1,871 | | | | |
| 8/7/2013 | Wed | 1,611 | | | | |
| 8/8/2013 | Thu | 1,680 | | | | |
| 8/9/2013 | Fri | 1,687 | | | | |
| 8/10/2013 | Sat | 1,649 | | | | |
| 8/11/2013 | Sun | 1,561 | 12,098 | | | |
+-----------+-----+-------+--------+--+--+--+
Please let me if there's an existing code or technique that I could to achieve something like this. Thanks.
Sherwin
Try something like this but make sure to check which WEEKDAY is Sunday on your server since this can be modified.
select T1.August, T1.[Count],
case DATEPART(WEEKDAY, O.Order_Date)
WHEN 1 THEN (SELECT CONVERT(varchar(10), SUM(T2.[Count]) FROM TableName T2 WHERE T2.August BETWEEN DATEADD(d,-7,T1.August) and T1.August))
ELSE ''
end as Weekly_Count
FROM TablleName T1
ORDER BY T.August
If you don't mind having those subtotal on a new row instead of on a new column, GROUP BY WITH ROLLUP could be the solution for you:
SET LANGUAGE GERMAN is used for setting monday as first day of the week and allowing us to sum up until sunday
SET LANGUAGE GERMAN;
WITH first AS
(
SELECT
date,
day,
DATEPART(dw, date) AS dayweek,
DATEPART(wk, date) AS week,
count
FROM example
)
SELECT
CASE WHEN (GROUPING(dayweek) = 1) THEN 'TOT' ELSE CAST(MAX(date) AS VARCHAR(20)) END AS date,
CASE WHEN (GROUPING(dayweek) = 1) THEN 'TOT' ELSE MAX(day) END AS day,
SUM(count) AS count
FROM first
GROUP BY week,dayweek WITH ROLLUP
see the complete example on sqlfiddle
If you use stored procedures, then make a temp table and loop it through with a cursor, and make the sums.
You could also do something like this:
SELECT CreatedDate, Amount, CASE WHEN DATENAME(dw , CreatedDate) = 'Sunday' THEN (SELECT SUM(Amount) FROM AmountTable at2 WHERE CreatedDate <= at1.CreatedDate AND CreatedDate > DATEADD(Day, -7, at1.CreatedDate)) ELSE 0 END AS 'WeekTotal'
from AmountTable at1
Would something along these lines work, the syntax may not be 100%
select
[Date],
DOW,
[Count],
Case When DOW = 'Mon' then 1 else 2 end as Partition_DOW,
SUM([Count]) OVER (PARTITION BY (Case When DOW = 'Mon' then 1 else 0 end) ORDER BY [Date]) AS 'Monthly_Total'
from My_table
where Month([Date]) = Month(Date()) AND Year([Date]) = Year(Date())
being a novice sql user:
I have a simple table storing some records over night daily. table:
Table: T1
+----+-----+----+-----------+------------+
| Id | A | AB | Value | Date |
+----+-----+----+-----------+------------+
| 1 | abc | I | -48936.08 | 2013-06-24 |
| 2 | def | A | 431266.19 | 2013-06-24 |
| 3 | xyz | I | -13523.90 | 2013-06-24 |
| 4 | abc | A | 13523.90 | 2013-06-23 |
| 5 | xyz | I | -13523.90 | 2013-06-23 |
| 6 | def | A | 13523.90 | 2013-06-22 |
| 7 | def | I | -13523.90 | 2013-06-22 |
+----+-----+----+-----------+------------+
I would like to get all values of columns A,AB, Value for the latest Date on Column A filtered on AB = I
basically the result should look like:
+----+-----+----+-----------+------------+
| Id | A | AB | Value | Date |
+----+-----+----+-----------+------------+
| 1 | abc | I | -48936.08 | 2013-06-24 |
| 3 | xyz | I | -13523.90 | 2013-06-24 |
| 7 | def | I | -13523.90 | 2013-06-22 |
+----+-----+----+-----------+------------+
I have tried to use inner join twice on the same table but failed to come up with correct result.
any help would be appreciated.
thanks :)
This will work with sqlserver 2005+
;WITH a as
(
SELECT id, A,AB, Value, Date
, row_number() over (partition by A order by Date desc) rn
FROM t1
WHERE AB = 'I'
)
SELECT id, A,AB, Value, Date
FROM a WHERE rn = 1
; WITH x AS (
SELECT id
, a
, ab
, "value"
, "date"
, Row_Number() OVER (PARTITION BY a ORDER BY "date" DESC) As row_num
FROM your_table
WHERE ab = 'I'
)
SELECT *
FROM x
WHERE row_num = 1