I'm currently trying to figure out the best way to do a conditional count as an alias in DB2 for Iseries. The below values represent job statuses where a job can be created, completed and cancelled so any one job will possibly have multiple status codes attached to it.
However, for my final value, I'm trying to get a count of jobs that only have the created status so that I can show how many are still open jobs. Basically looking for cases where the count for the created case = 1, but the below fails at the '='
SELECT
COUNT(CASE A1.JOB WHEN = 'CREATED' THEN 1 END) AS CREATED,
COUNT(CASE A1.JOB WHEN = 'CANCELLED' THEN 1 END) AS CANCELLED,
COUNT(CASE WHEN A1.JOB 'CREATED' = 1 then 1 END) AS OPEN
FROM SCHEMA.TABLE A1;
sample data and results:
Job ID | Status_code
-------------------------
123 'CREATED'
123 'COMPLETED'
521 'CREATED'
521 'CANCELLED'
645 'CREATED'
Results:
JOB | CREATED | CANCELLED | OPEN
-------------------------------------------
123 1 0 0
521 1 1 0
645 1 0 1
Assuming that the only "close" status is 'CANCELLED', you can use not exists like this:
select count(*)
from schema.table t
where t.status_code = 'CREATED' and
not exists (select 1
from schema.table t2
where t2.job = t.job and
t2.status_code in ('CANCELLED', 'COMPLETED', 'DELETED')
);
If you want multiple counts, then filtering like this does not work. So aggregate by job first:
select sum(is_created) as num_created,
sum(is_cancelled) as num_cancelled,
sum(is_created * (1 - is_cancelled) * (1 - is_completed) * (1 - is_deleted)) as open
from (select job,
max(case when status_code = 'CREATED' then 1 else 0 end) as is_created,
max(case when status_code = 'CANCELLED' then 1 else 0 end) as is_cancelled,
max(case when status_code = 'COMPLETED' then 1 else 0 end) as is_completed,
max(case when status_code = 'DELETED' then 1 else 0 end) as is_deleted
from t
group by job
) j
The following returns the result you need:
WITH TAB (Job_ID, JOB) AS
(
VALUES
(123, 'CREATED')
, (123, 'COMPLETED')
, (521, 'CREATED')
, (521, 'CANCELLED')
, (645, 'CREATED')
)
SELECT
Job_ID
, COUNT(CASE A1.JOB WHEN 'CREATED' THEN 1 END) AS CREATED
, COUNT(CASE A1.JOB WHEN 'CANCELLED' THEN 1 END) AS CANCELLED
, CASE
WHEN NULLIF(COUNT(1), 0) = COUNT(CASE A1.JOB WHEN 'CREATED' then 1 END)
THEN 1
ELSE 0
END AS OPEN
FROM TAB A1
GROUP BY JOB_ID;
With conditional aggregation:
SELECT
JobID,
MAX(CASE Status_code WHEN 'CREATED' THEN 1 ELSE 0 END) AS CREATED,
MAX(CASE Status_code WHEN 'CANCELLED' THEN 1 ELSE 0 END) AS CANCELLED,
MIN(CASE WHEN Status_code <> 'CREATED' THEN 0 ELSE 1 END) AS OPEN
FROM tablename
GROUP BY JobID
See the demo.
Results:
> JobID | CREATED | CANCELLED | OPEN
> ----: | ------: | --------: | ---:
> 123 | 1 | 0 | 0
> 521 | 1 | 1 | 0
> 645 | 1 | 0 | 1
Assuming valid close status is either "COMPLETED" or "CANCELLED", you can try following SQL.
SELECT
A1.JobID,
sum(CASE WHEN A1.Status_code = 'CREATED' THEN 1 ELSE 0 END) AS CREATED,
sum(CASE WHEN A1.Status_code = 'CANCELLED' THEN 1 ELSE 0 END) AS CANCELLED,
(
SUM(CASE WHEN A1.Status_code = 'CREATED' THEN 1 ELSE 0 END)
- sum(CASE WHEN A1.Status_code = 'CANCELLED' THEN 1 ELSE 0 END)
- sum(CASE WHEN A1.Status_code = 'COMPLETED' THEN 1 ELSE 0 END)
) AS OPEN
FROM SCHEMA.TABLE A1
GROUP BY A1.JobID
Related
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;
I am querying on table below.
SELECT [RiskUniqueIdentificationNo]
,Count(*) AS TotalNoOfTasks
,[Status]
FROM [dbo].[Tasks]
GROUP BY [RiskUniqueIdentificationNo]
,[Status]
and here is my result set
but problem is that i want to get result for each [RiskUniqueIdentificationNo] in following way
| RiskUniqueIdentificationNo | | TotalNoOfTasks | | InProgressTask | | ClosedTask |
------------ ------------ ------------ ------------------------- ------------------
| 1 | | 3 | | 2 | | 1|
i have tried to do some thing like this
SELECT [RiskUniqueIdentificationNo]
,Count(*) AS TotalNoOfTasks
,CASE
WHEN [Status] = 'Closed'
THEN COUNT([Status])
ELSE 0
END AS ClosedTasks
,CASE
WHEN [Status] != 'Closed'
AND [EndDate] < GETDATE()
THEN COUNT([Status])
ELSE 0
END AS OverdueTasks
FROM [dbo].[Tasks]
GROUP BY [RiskUniqueIdentificationNo]
,[Status]
but can't succeeded. I need help that how can i accomplish this.
Remove status from GROUP BY and do a COUNT using CASE.
SELECT [RiskUniqueIdentificationNo],
COUNT(1) AS TotalNoOfTasks,
COUNT(CASE WHEN [Status]<> 'Closed' THEN 1 END) AS InProgressTask,
COUNT(CASE WHEN [Status]= 'Closed' THEN 1 END) AS ClosedTask
FROM [dbo].[Tasks]
GROUP BY [RiskUniqueIdentificationNo]
Move to conditional aggregation as below
Select [RiskUniqueIdentificationNo],
Count(*) as TotalNoOfTasks,
sum(case when [Status] = 'In progress' then 1 else 0 end) [InProgressTask],
sum(case when [Status] = 'Closed' then 1 else 0 end) [ClosedTask]
from [dbo].[Tasks]
group by [RiskUniqueIdentificationNo]
I've searched for an answer on this but can't find quite how to get this distinct recordset based on a condition. I have a table with the following sample data:
+---------+-------------+
| Branch | Task Status |
+---------+-------------+
| Account | Completed |
| HR | Completed |
| Account | Completed |
| HR | Not Define |
| Account | Uncompleted |
| Account | Not Define |
| Account | Completed |
| HR | Uncompleted |
| HR | Uncompleted |
| HR | Completed |
| HR | Not Define |
+---------+-------------+
I'd like to create a query that shows the count of total task and also want total of Task Status wise numbers of tasks, e.g.
Branch Total Task Completed Uncompleted Not Define
Account 5 3 1 1
Admin 6 2 2 2
SELECT branch,
COUNT(*),
SUM(CASE status WHEN 'completed' THEN 1 END) AS completed,
SUM(CASE status WHEN 'uncompleted' THEN 1 END) AS uncompleted,
SUM(CASE status WHEN 'not define' THEN 1 END) AS not_define
FROM task
GROUP BY
branch
SELECT Branch
, COUNT(1) as Total
, COUNT(CASE WHEN TaskStatus = 'Completed' THEN 1 ELSE 0 END) AS Completed
, COUNT(CASE WHEN TaskStatus = 'Uncompleted' THEN 1 ELSE 0 END) AS Uncompleted
, COUNT(CASE WHEN TaskStatus = 'Not Define' THEN 1 ELSE 0 END) AS NotDefine
FROM Table
GROUP BY Branch
SELECT branch,
COUNT(*),
COUNT(CASE taskstatus WHEN 'Completed' THEN 1 END),
COUNT(CASE taskstatus WHEN 'Uncompleted' THEN 1 END),
COUNT(CASE taskstatus WHEN 'Not Define' THEN 1 END)
FROM YourTable
GROUP BY branch;
Try this
SELECT * FROM (SELECT
ROW_NUMBER() OVER(PARTITION BY Branch ORDER BY [Task Status]) AS No,
Branch,
sum (CASE WHEN [Task Status] = 'Completed' THEN 1 ELSE 0 END ) OVER (PARTITION BY Branch) AS [Completed],
sum (CASE WHEN [Task Status] = 'Not Define' THEN 1 ELSE 0 END ) OVER (PARTITION BY Branch) AS [Not Define],
sum (CASE WHEN [Task Status] = 'Uncompleted' THEN 1 ELSE 0 END ) OVER (PARTITION BY Branch) AS [Uncompleted]
FROM task ) AS T1 WHERE No = 1
or
SELECT * FROM (SELECT
ROW_NUMBER() OVER(PARTITION BY Branch ORDER BY [Task Status]) AS No,
Branch,
count (CASE WHEN [Task Status] = 'Completed' THEN 1 ELSE 0 END ) OVER (PARTITION BY Branch) AS [Completed],
count (CASE WHEN [Task Status] = 'Not Define' THEN 1 ELSE 0 END ) OVER (PARTITION BY Branch) AS [Not Define],
count (CASE WHEN [Task Status] = 'Uncompleted' THEN 1 ELSE 0 END ) OVER (PARTITION BY Branch) AS [Uncompleted]
FROM task ) AS T1 WHERE No = 1
In SQL Server2005+ you can use PIVOT operator
SELECT *
FROM (
SELECT *, COUNT(*) OVER(PARTITION BY Branch) AS TotalTask
FROM dbo.task
) p
PIVOT
(
COUNT(p.Task) FOR p.Task IN ([Completed], [Uncompleted], [Not Define])
) x
Demo on SQLFiddle
I have the following:
http://sqlfiddle.com/#!6/226ae/1
I'm trying to now add one row for each week of the year, and filter the contacts accordingly. CONTACTS has a datetime column. The new table will look like:
Status 1 Status 2 Status 3
Week 1 3 4 2
Week 2 1 5 3
Week 3 2 2 4
I think that DATEADD needs to be used, however I'm at a loss in terms of how to begin changing my query.
I do know that MySQL has a GROUP BY WEEK command, but I don't think that SQL has an equivalent. What's the best way to accomplish this?
You can use DATEPART(), this groups by both the week and the year in the event you have data spanning multiple years:
SELECT
'Week ' + cast(datepart(wk, created) as varchar(2)) Week,
SUM(case WHEN status = 1 then 1 else 0 end) Status1,
SUM(case WHEN status = 2 then 1 else 0 end) Status2,
SUM(case WHEN status = 3 then 1 else 0 end) Status3,
SUM(case WHEN status = 4 then 1 else 0 end) Status4,
SUM(case WHEN status = 5 then 1 else 0 end) Status5
FROM contacts
group by datepart(wk, created), year(created)
See SQL Fiddle with Demo
Adding the year to the final result:
SELECT
'Week ' + cast(datepart(wk, created) as varchar(2)) Week,
year(created) year,
SUM(case WHEN status = 1 then 1 else 0 end) Status1,
SUM(case WHEN status = 2 then 1 else 0 end) Status2,
SUM(case WHEN status = 3 then 1 else 0 end) Status3,
SUM(case WHEN status = 4 then 1 else 0 end) Status4,
SUM(case WHEN status = 5 then 1 else 0 end) Status5
FROM contacts
group by datepart(wk, created), year(created)
See SQL Fiddle with demo
You can use the datepart function to extract the week from a date.
The query becomes:
SELECT datepart(week, created) as week,
SUM(case WHEN status = 1 then 1 else 0 end) Status1,
SUM(case WHEN status = 2 then 1 else 0 end) Status2,
SUM(case WHEN status = 3 then 1 else 0 end) Status3,
SUM(case WHEN status = 4 then 1 else 0 end) Status4,
SUM(case WHEN status = 5 then 1 else 0 end) Status5
FROM contacts
group by datepart(week, created)
SqlFiddle: http://sqlfiddle.com/#!6/226ae/6tsq
You might try using the group by clause in your query:
SELECT
DATE_FORMAT( created, '%u' ) week_number,
SUM(case WHEN status = 1 then 1 else 0 end) Status1,
SUM(case WHEN status = 2 then 1 else 0 end) Status2,
SUM(case WHEN status = 3 then 1 else 0 end) Status3,
SUM(case WHEN status = 4 then 1 else 0 end) Status4,
SUM(case WHEN status = 5 then 1 else 0 end) Status5
FROM contacts
GROUP BY DATE_FORMAT( created, '%u' )
I'm assuming you are talking about mysql.
The DATE_FORMAT function is documented here:
http://dev.mysql.com/doc/refman/5.5/en/date-and-time-functions.html#function_date-format