I’ve a table MachineStatus which stores the status history of a machine.
The table looks like this:
| MachineStatusId | From | To | State | MachineId |
----------------------------------------------------------------------------------------------------------------------------------------
| B065FC43-DBE7-E611-9BDB-801F02F47041 | 2017-01-30 07:00:00 | 2017-01-30 08:00:00 | 1 | 92649C7B-E962-4EB1-B631-00086EECA98A |
| B165FC43-DBE7-E611-9BDB-801F02F47041 | 2017-01-30 08:00:00 | 2017-01-30 09:00:00 | 200 | 92649C7B-E962-4EB1-B631-00086EECA98A |
| B265FC43-DBE7-E611-9BDB-801F02F47041 | 2017-01-30 07:00:00 | 2017-01-30 08:00:00 | 1 | A2649C7B-E962-4EB1-B631-00086EECA98A |
| B365FC43-DBE7-E611-9BDB-801F02F47041 | 2017-01-30 08:00:00 | 2017-01-30 09:00:00 | 500 | A2649C7B-E962-4EB1-B631-00086EECA98A |
It stores for each machine, for each status change a record with the information [From] when [To] when a certain [State] was valid.
I like to calculate the time each machine spent in each state.
The result should look like this:
| MachineId | Alias | State1 | State200 | State500 |
-------------------------------------------------------------------------------------------------
| 92649C7B-E962-4EB1-B631-00086EECA98A | Somename | 60 | 60 | 0 |
| A2649C7B-E962-4EB1-B631-00086EECA98A | Some other name | 60 | 0 | 60 |
Each state should be represented as a column.
Here is wat I have tried so far:
SELECT
MAX(mState.MachineId),
MAX(m.Alias),
SUM(CASE mState.State WHEN 1 THEN mState.Diff ELSE 0 END) AS CritTime,
SUM(CASE mState.State WHEN 200 THEN mState.Diff ELSE 0 END) AS OpTime,
SUM(CASE mState.State WHEN 500 THEN mState.Diff ELSE 0 END) AS OtherTime
FROM
(
SELECT
DATEDIFF(MINUTE, ms.[From], ISNULL(ms.[To], GETDATE())) AS Diff,
ms.State AS State,
MachineId
FROM
MachineStatus ms
WHERE
ms.[From] >= #rangeFrom AND
(ms.[To] <= #rangeEnd OR ms.[To] IS NULL)
) as mState
INNER JOIN Machines m ON m.MachineId = mState.MachineId
GROUP BY
mState.MachineId,
m.Alias,
mState.State
Calculating the time and grouping the result by machines works but I cannot figure out how to reduce the result set only contain one row per machine but with a column per state.
I started in your subquery without apply any sum to your calculated data:
SELECT m.MachineId,
m.Alias,
Minutes,
s.State
FROM machines m
INNER JOIN states s ON m.MachineId = s.MachineId
Then you can pivot() for [State] and calculate the sum() of every state in this form:
WITH Calc AS
(
SELECT m.MachineId,
m.Alias,
Minutes,
s.State
FROM machines m
INNER JOIN states s ON m.MachineId = s.MachineId
)
SELECT MachineId, Alias, [State1], [State2], [State500]
FROM
(SELECT MachineId, Alias, State, Minutes FROM Calc) AS SourceTable
PIVOT
(
SUM(Minutes) FOR State IN ([State1],[State2],[State500])
) AS PivotTable;
This is the result:
+--------------------------------------+---------+--------+--------+----------+
| MachineId | Alias | State1 | State2 | State500 |
+--------------------------------------+---------+--------+--------+----------+
| 92649C7B-E962-4EB1-B631-00086EECA98A | Alias 1 | 100 | 100 | 100 |
+--------------------------------------+---------+--------+--------+----------+
| A2649C7B-E962-4EB1-B631-00086EECA98A | Alias 2 | 10 | 20 | 70 |
+--------------------------------------+---------+--------+--------+----------+
Notice that you must know how many states return your data.
Can check it here: http://rextester.com/DHDX77489
Related
I have two SQL Server tables as below:
Event
+------------+----------------------------+-------------+------------+-----------------------------+
| Id | EventTypeId | PersonId | UCNumber | Name |DateEvent
+------------+----------------------------+-------------+------------+-----------------------------+
| 2307 | 3 | 2189 | 004947 | Migrated | 1900-01-01 00:00:00.6780000 |
| 2308 | 15 | 2189 | 004947 | Birthday | 2020-09-18 16:48:32.6870000 |
| 3400 | 15 | 2190 | 006857 | Birthday | 1900-01-01 00:00:00.0000000 |
| 3401 | 2 | 2190 | 006857 | Migrated | 2016-03-12 00:00:00.0000000 |
Person
+------------+----------------+-------------------+-----------+-------------------------------+
| Id | UCNumber | Name |LastName | AnotherDate |
+------------+----------------+-------------------+-----------+-------------------------------+
| 2189 | 004947 | John | Smith | 1900-01-01 00:00:00.0000000 |
| 2190 | 006857 | Alice | Timo | 2020-02-20 00:00:00.0000000 |
I need to get retrieved the top row (latest in time) based on the Event's Id. (The higher the Id, the more recent the Event) and it should be a 15 as EventTypeId.
I tried this:
Select P.Id, P.UCNUMBER, P.AnotherDate from
db.dbo.Person P
Inner join db.dbo.Event L on L.PersonId = P.Id
where P.Id in (
SELECT TOP (1) PersonId
FROM
db.dbo.Event
where PersonId = P.Id --and EventTypeID = 15
ORDER BY
Id DESC)
and EventTypeId = 15
but it does not work properly. I posted here just samples from the 2 tables. Generally the query takes also other events which are not latest ones (as higher Id). Something is missing in it.
In this case, for instance, it should return only 1 row:
2189 004947 1900-01-01 00:00:00.0000000
Sounds like you just want ORDER BY and TOP 1.
SELECT TOP 1
p.id,
p.ucnumber,
p.anotherdate
FROM event e
LEFT JOIN person p
ON p.id = e.personid
WHERE e.eventtypeid = 15
ORDER BY e.dateevent DESC;
If you want all ties in case there are more events on the same latest time you can replace TOP 1 with TOP 1 WITH TIES.
I've been working on this issue for the last day and a half and just can't seem to find another question on here that works for my code.
I have a table here:
Table_D
Policynumber| EntryDate | BI_Limit | P remium
------------------------------------------------------
ABCD100001 | 5/1/16 | 15/30 | 919
ABCD100001 | 5/13/16 | 15/30 | 1008
ABCD100002 | 5/24/16 | 100/300 | 1380
ABCD100003 | 5/30/16 | 25/50 | 1452
ABCD100003 | 6/2/16 | 25/50 | 1372
ABCD100003 | 6/4/16 | 30/60 | 951
ABCD100004 | 6/11/16 | 100/300 | 1038
ABCD100005 | 6/22/16 | 100/300 | 1333
ABCD100005 | 7/2/16 | 50/100 | 1208
ABCD100006 | 7/10/16 | 250/500 | 1345
ABCD100007 | 7/18/16 | 15/30 | 996
in which I'm trying to extract rows in which a policynumber has multiple listings and a different BI_Limit. So the output should be:
Output
Policynumber | EntryDate | BI_Limit | Premium
---------------------------------------------------
ABCD100003 | 5/30/16 | 25/50 | 1452
ABCD100003 | 6/2/16 | 25/50 | 1372
ABCD100003 | 6/4/16 | 30/60 | 951
ABCD100005 | 6/22/16 | 100/300 | 1333
ABCD100005 | 7/2/16 | 50/100 | 1208
I'm storing Policynumber as VARCHAR(Max), EntryDate as DATE, BI_Limit as VARCHAR(Max), and Premium as INTEGER.
The code I've want to say should work would be something along the lines of:
SELECT * FROM Table_D
WHERE BI_Limit IN (
SELECT BI_Limit
FROM Table_D
GROUP BY BI_Limit
HAVING COUNT(DISTINCT BI_Limit)>1);
But this returns nothing for me. Can anyone help to show me what I'm doing wrong? Thank you.
You could also try exists
select a.*
from Table_D a
where
exists (
select 1
from Table_D b
where a.Policynumber = b.Policynumber
and a.BI_Limit <> b.BI_Limit
)
SELECT d.*
FROM ( -- find the policy number with multiple listing and diff BI_Limit
SELECT PolicyNumber
FROM TableD
GROUP BY PolicyNumber
HAVING count(*) > 1
AND MIN (BI_Limit) <> MAX (BI_Limit)
) m -- join back the Table_D to for other information
INNER JOIN Table_D d
ON m.PolicyNumber = d.PolicyNumber
This query gives me Event values from 1 to 20 within an hour, how to add to that if a consecutive Event value is >=200 as well?
SELECT ID, count(Event) as numberoftimes
FROM table_name
WHERE Event >=1 and Event <=20
GROUP BY ID, DATEPART(HH, AtHour)
HAVING DATEPART(HH, AtHour) <= 1
ORDER BY ID desc
In this dummy 24h table:
+----+-------+--------+
| ID | Event | AtHour |
+----+-------+--------+
| 1 | 1 | 11:00 |
| 1 | 4 | 11:01 |
| 1 | 1 | 11:02 |
| 1 | 20 | 11:03 |
| 1 | 200 | 11:04 |
| 1 | 1 | 13:00 |
| 1 | 1 | 13:05 |
| 1 | 2 | 13:06 |
| 1 | 500 | 13:07 |
| 1 | 39 | 13:10 |
| 1 | 50 | 13:11 |
| 1 | 2 | 13:12 |
+----+-------+--------+
I would like to select IDs with Event with values with range between 1 and 20 followed immediately by value greater than or equal to 200 within an hour.
Expected result should be something like that:
+----+--------+
| ID | AtHour |
+----+--------+
| 1 | 11 |
| 1 | 13 |
| 2 | 11 |
| 2 | 14 |
| 3 | 09 |
| 3 | 12 |
+----+--------+
or just how many times it has happened for unique ID instead of which hour.
Please excuse me I am still rusty with post formatting!
CREATE TABLE data (Id INT, Event INT, AtHour SMALLDATETIME);
INSERT data (Id, Event, AtHour) VALUES
(1,1,'2017-03-16 11:00:00'),
(1,4,'2017-03-16 11:01:00'),
(1,1,'2017-03-16 11:02:00'),
(1,20,'2017-03-16 11:03:00'),
(1,200,'2017-03-16 11:04:00'),
(1,1,'2017-03-16 13:00:00'),
(1,1,'2017-03-16 13:05:00'),
(1,2,'2017-03-16 13:06:00'),
(1,500,'2017-03-16 13:07:00'),
(1,39,'2017-03-16 13:10:00')
;
; WITH temp as (
SELECT rownum = ROW_NUMBER() OVER (PARTITION BY id ORDER BY AtHour)
, *
FROM data
)
SELECT a.id, DATEPART(HOUR, a.AtHour) as AtHour, COUNT(*) AS NumOfPairs
FROM temp a JOIN temp b ON a.rownum = b.rownum-1
WHERE a.Event BETWEEN 1 and 20 AND b.Event >= 200
AND DATEDIFF(MINUTE, a.AtHour, b.AtHour) <= 60
GROUP BY a.id, DATEPART(HOUR, a.AtHour)
;
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())