I'm using SQL SERVER 2012 and I'm struggling with this SQL statement. Basically I have this table
table
I want to group by Date, and Username, with a count on the status column, like below :
query result
How can I achieve this?
You can use an aggredated query with a few conditional SUMs.
SELECT
LastUpdate,
UpdatedBy as User,
SUM(CASE WHEN Status = 'A' THEN 1 ELSE 0 END) as A
SUM(CASE WHEN Status = 'C' THEN 1 ELSE 0 END) as C
SUM(CASE WHEN Status = 'D' THEN 1 ELSE 0 END) as D
SUM(CASE WHEN Status = 'Z' THEN 1 ELSE 0 END) as Z
SUM(CASE WHEN Status = 'X' THEN 1 ELSE 0 END) as X
FROM table
GROUP BY LastUpdate, UpdatedBy
ORDER BY LastUpdate, UpdatedBy
You can try using conditional aggregation
select LastUpdate,UpdatedBy,
count(case when Status='A' then UpdatedBy end) as 'A',
count(case when Status='C' then UpdatedBy end) as 'C',
count(case when Status='D' then UpdatedBy end) as 'D',
count(case when Status='Z' then UpdatedBy end) as 'Z',
count(case when Status='X' then UpdatedBy end) as 'X'
from tablename
group by LastUpdate,UpdatedBy
Ok I figured it out with help from the guys answers
SELECT
CAST(LastUpdate as DATE),
UserName,
SUM(CASE WHEN Status = 1 THEN 1 ELSE 0 END) as [Status_1],
SUM(CASE WHEN Status = 2 THEN 1 ELSE 0 END) as [Status_2],
SUM(CASE WHEN Status = 3 THEN 1 ELSE 0 END) as [Status_3]
FROM Table
WHERE LastUpdate BETWEEN '2018-11-30 10:013:44.080' AND '2018-12-30 10:013:44.080'
GROUP BY CAST(LastUpdate as DATE), UserName
ORDER BY CAST(LastUpdate as DATE)
This is a sample query where I'm looking for records between two dates. The problem I was having was in part due to filtering on datetime rather than date. The lastupdate column is a datetime so by casting to date it solved the issue
Related
How can I create a query that has multiple counter columns for the same field?
I have a field called card_status that can have 7 different values.
I wanted to create a query that would display total values on the same row and not on 7 different rows.
SELECT SUM(CASE WHEN card_status = 1 THEN 1 ELSE 0 END) as Count_of_1,
SUM(CASE WHEN card_status = 2 THEN 1 ELSE 0 END) as Count_of_2,
...
SUM(CASE WHEN card_status = 7 THEN 1 ELSE 0 END) as Count_of_7
FROM your_table;
You could use a conditional count
For example:
SELECT col1, col2
, COUNT(CASE WHEN card_status = 'revoked' THEN card_status END) AS TotalRevoked
, COUNT(CASE WHEN card_status = 'requested' THEN card_status END) AS TotalRequested
, COUNT(CASE WHEN card_status = 'lost' THEN card_status END) AS TotalLost
-- add more
, COUNT(*) AS Total
FROM YourTable t
GROUP BY col1, col2
ORDER BY col1, col2
This works on the principle that counting a column or expression doesn't count the NULL's
For some context, I am making an image browser which is connected to an SQLite database. Within the browser, similar images are grouped into an event (EventId) and each image (MicrosoftId) is labelled with a few tags (name).
I have these two queries on the same table (TagsMSCV) but pulling out different information. Ultimately I need to combine the information in my browser so if it was possible to combine these two queries (maybe with a JOIN?) it would be a lot faster and convenient for me. Both results of these queries share the EventId column.
1st Query ():
SELECT EventId as 'event', count(*) as 'size',
SUM(case when tag_count = 1 then 1 else 0 end) as '1',
SUM(case when tag_count = 2 then 1 else 0 end) as '2',
SUM(case when tag_count = 3 then 1 else 0 end) as '3'
FROM (SELECT EventId, MicrosoftId,
SUM(case when name in ('indoor', 'cluttered', 'screen') then 1 else 0 end) as tag_count
FROM TagsMSCV GROUP BY EventId, MicrosoftId) TagsMSCV
GROUP BY EventId ORDER BY 3 DESC, 2 DESC, 1 DESC
2nd Query
SELECT EventId,
SUM(CASE WHEN name = 'indoor' THEN 1 ELSE 0 END) as indoor,
SUM(CASE WHEN name = 'cluttered' THEN 1 ELSE 0 END) as cluttered,
SUM(CASE WHEN name = 'screen' THEN 1 ELSE 0 END) as screen
FROM TagsMSCV WHERE name IN ('indoor', 'cluttered', 'screen')
GROUP BY EventId
As you can see in both queries I am feeding in the tags 'necktie' 'man', 'male' and getting different information back.
SQL Fiddle Here: https://www.db-fiddle.com/f/f8WNimjmZAj1XXeCj4PHB8/3
You should do this all in one query:
SELECT EventId as event, count(*) as size,
SUM(case when (indoor + cluttered + screen) = 1 then 1 else 0 end) as tc_1,
SUM(case when (indoor + cluttered + screen) = 2 then 1 else 0 end) as tc_2,
SUM(case when (indoor + cluttered + screen) = 3 then 1 else 0 end) as tc_3,
SUM(indoor) as indoor,
SUM(cluttered) as cluttered,
SUM(screen) as screen
FROM (SELECT EventId, MicrosoftId,
SUM(CASE WHEN name = 'indoor' THEN 1 ELSE 0 END) as indoor,
SUM(CASE WHEN name = 'cluttered' THEN 1 ELSE 0 END) as cluttered,
SUM(CASE WHEN name = 'screen' THEN 1 ELSE 0 END) as screen
FROM TagsMSCV
GROUP BY EventId, MicrosoftId
) TagsMSCV
GROUP BY EventId
ORDER BY 3 DESC, 2 DESC, 1 DESC;
You need two aggregations to get the information about the tag counts. There is no need to add more aggregations and joins to the query.
You could use an Inner join subquery
SELECT TagsMSCV.EventId as 'event', count(*) as 'size',
SUM(case when tag_count = 1 then 1 else 0 end) as '1',
SUM(case when tag_count = 2 then 1 else 0 end) as '2',
SUM(case when tag_count = 3 then 1 else 0 end) as '3',
t.necktie,
t.man,
t.male
FROM (
SELECT EventId, MicrosoftId,
SUM(case when name in ('necktie' 'man', 'male') then 1 else 0 end) as tag_count
FROM TagsMSCV GROUP BY EventId, MicrosoftId
) TagsMSCV
INNER JOIN (
SELECT EventId,
SUM(CASE WHEN name = 'necktie' THEN 1 ELSE 0 END) as necktie,
SUM(CASE WHEN name = 'man' THEN 1 ELSE 0 END) as man,
SUM(CASE WHEN name = 'male' THEN 1 ELSE 0 END) as male
FROM TagsMSCV WHERE name IN ('necktie' 'man', 'male')
GROUP BY EventId
) t on t.EventId = TagsMSCV.EventId
GROUP BY TagsMSCV.EventId
ORDER BY 3 DESC, 2 DESC, 1 DESC
I have a Tickets table in My database , each Ticket have a status_id (1,2,3)
1: Ticket IN PROGRESS
2: Ticket Out Of time
3: Ticket Closed
I want using SQL to calculate the number of tickets for each status .
Calculate the cumulative total for each Status in a specific Date, I have already a column affectation_Date that contains the date where the status of ticket has been changed .
Use conditional aggregation as
SELECT TicketID,
AffectationDate,
SUM(CASE WHEN StatusID = 1 THEN 1 ELSE 0 END) InProgress,
SUM(CASE WHEN StatusID = 2 THEN 1 ELSE 0 END) OuOfTime,
SUM(CASE WHEN StatusID = 3 THEN 1 ELSE 0 END) Closed,
COUNT(1) Total
FROM Tickets
GROUP BY TicketID,
AffectationDate
ORDER BY TicketID,
AffectationDate;
Or if you want to GROUP BY AffectationDate only
SELECT AffectationDate,
SUM(CASE WHEN StatusID = 1 THEN 1 ELSE 0 END) TotalInProgress,
SUM(CASE WHEN StatusID = 2 THEN 1 ELSE 0 END) TotalOutOfTime,
SUM(CASE WHEN StatusID = 3 THEN 1 ELSE 0 END) TotalClosed,
COUNT(1) TotalStatusThisDate
FROM Tickets
GROUP BY AffectationDate
ORDER BY AffectationDate;
Live Demo
Using conditional counts.
SELECT affectation_Date,
COUNT(CASE WHEN status_id = 1 THEN 1 END) AS TotalInProgress,
COUNT(CASE WHEN status_id = 2 THEN 1 END) AS TotalOutOfTime,
COUNT(CASE WHEN status_id = 3 THEN 1 END) AS TotalClosed
FROM Tickets t
GROUP BY affectation_Date
ORDER BY affectation_Date
you may use the desired filter condition for the date criteria
SELECT COUNT(1), STATUS
FROM tickets
WHERE affectation_Date >= 'someDate'
group by status
Regards
You just need to group by status and count the number of tickets in each group:
select status, count(*) as number
from Tickets
where dt >= '2019-01-01 00:00:00' and dt < '2019-01-02 00:00:00'
group by status
having status >= 1 and status <= 3
This adds the Cumulative Sum to the existing answers:
SELECT AffectationDate,
Sum(CASE WHEN StatusID = 1 THEN 1 ELSE 0 END) AS TotalInProgress,
Sum(CASE WHEN StatusID = 2 THEN 1 ELSE 0 END) AS TotalOutOfTime,
Sum(CASE WHEN StatusID = 3 THEN 1 ELSE 0 END) AS TotalClosed,
Count(*) as TotalStatusThisDate,
Sum(Sum(CASE WHEN StatusID = 1 THEN 1 ELSE 0 END)) Over (ORDER BY AffectationDate) AS cumTotalInProgress,
Sum(Sum(CASE WHEN StatusID = 2 THEN 1 ELSE 0 END)) Over (ORDER BY AffectationDate) AS cumTotalOutOfTime,
Sum(Sum(CASE WHEN StatusID = 3 THEN 1 ELSE 0 END)) Over (ORDER BY AffectationDate) AS cumTotalClosed,
Sum(Count(*)) Over (ORDER BY AffectationDate) AS cumTotalStatusThisDate
FROM Tickets
GROUP BY AffectationDate
ORDER BY AffectationDate;
Hi I have a table which has an ID and status.One ID can have multiple status but I have to pick status based on the conditions.
If ID 1 has Approved, Later,Modified I should Pick Approved and if the ID has only approved then Pick only Approved.But the case statement I got is not doing per ID.It is changing the overall data based on status.Please advise
select ID,
CASE
WHEN status = 'Approved'
AND status IN(
'Modified',
'Later'
) THEN 'Partial Modified'
WHEN status = 'Approved' THEN 'Approved'
when status IN('Modified','Edited') THEN 'Modified'
else status
END status group by ID,Status
This can be done with an ordering condition in row_number.
select top 1 with ties *
from tbl
order by row_number() over(partition by id order by case when status='Approved' then 1
when status='Modified' then 2
else 3 end)
I think you want an aggregation, so something like this:
(CASE WHEN SUM(CASE WHEN status = 'Approved' THEN 1 ELSE 0 END) > 0
THEN 'Approved'
WHEN SUM(CASE WHEN status = 'Modified' THEN 1 ELSE 0 END) > 0
THEN 'Modified'
ELSE MAX(status)
END)
Of course, you can also do this using window functions:
(CASE WHEN SUM(CASE WHEN status = 'Approved' THEN 1 ELSE 0 END) OVER (PARTITION BY id) > 0
THEN 'Approved'
WHEN SUM(CASE WHEN status = 'Modified' THEN 1 ELSE 0 END) OVER (PARTITION BY id) > 0
THEN 'Modified'
ELSE MAX(status) OVER (PARTITION BY id)
END)
I have query returning details of customers that are subscribed to channel xyz or all other channels.
To generate this results i am using the following query:
select customerID
,sum(case when channel='xyz' then 1 else 0 end) as 'xyz Count'
,sum(case when channel<>'xyz' then bundle_qty else 0 end) as 'Other'
From temptable
So my Question is, how do i Exclude customers that are subscribed to 2 channels, where one is xyz and one is another channel.
select customerID
,sum(case when channel='xyz' then 1 else 0 end) as 'xyz Count'
,sum(case when channel<>'xyz' then bundle_qty else 0 end) as 'Other'
From temptable
group by customerID
having sum(case when channel= 'xyz' then 1 else 0 end) > 0
and sum(case when channel<>'xyz' then 1 else 0 end) > 0
First, your query is not correct. It needs a group by. Second, you can do what you want using having:
select customerID,
sum(case when channel = 'xyz' then 1 else 0 end) as xyz_Count,
sum(case when channel<>'xyz' then bundle_qty else 0 end) as Other
From temptable
group by customerID
having count(*) = 2 and
sum(case when channel = 'xyz' then 1 else 0 end) = 1;
If customers can subscribe to the same channel multiple times, and you still want only "xyz" and another channel, then:
having count(distinct channel) = 2 and
(min(channel) = 'xyz' or max(channel) = 'xyz')