I have a table of support tickets - with time opened and time closed. I would like to create a table of ranges, as such:
ticket count | time to close
----------------------------------
30 | up to 2 hours
25 | 2 - 4 hours
10 | 4 - 6 hours
what i have so far gives me the range (using a CASE with DATEDIFF), but i cant figure out how to group the eventual range.
When trying to GROUP on the new openTimeRange computed column, the error of course is that its an unknown column.
SELECT COUNT([tblTickets].*), DATEDIFF(hh,[dateOpened],[closeDate]) AS OpenTime
, case when DATEDIFF(hh,[dateOpened],[closeDate]) between 0 and 2 then '0-2'
when DATEDIFF(hh,[dateOpened],[closeDate]) between 3 and 4 then '3-4'
when DATEDIFF(hh,[dateOpened],[closeDate]) between 5 and 6 then '4-6'
end as openTimeRange
FROM [tblTickets]
WHERE closeDate is not null
GROUP BY [dateOpened],[closeDate]
Using MSSQL 2005 SP4
Thanks!
As you mentioned, if you try to GROUP BY the openTimeRange alias column in your original query, you will get an error. The reason for this is that the GROUP BY clause is evaluated before the alias is assigned to the result set, and hence you cannot use it. Using an inline view should do the trick:
SELECT T.TicketCount, T.OpenTime, T.openTimeRange
FROM
(
SELECT COUNT([tblTickets].*) AS TicketCount,
DATEDIFF(hh,[dateOpened],[closeDate]) AS OpenTime,
CASE WHEN DATEDIFF(hh,[dateOpened],[closeDate]) BETWEEN 0 AND 2 THEN '0-2'
WHEN DATEDIFF(hh,[dateOpened],[closeDate]) BETWEEN 3 AND 4 THEN '3-4'
WHEN DATEDIFF(hh,[dateOpened],[closeDate]) BETWEEN 5 AND 6 THEN '4-6'
END AS openTimeRange
FROM [tblTickets]
WHERE closeDate IS NOT NULL
GROUP BY [dateOpened],[closeDate]
) T
GROUP BY T.openTimeRange
Related
View of a table
ID
kWh
1
3
1
10
1
8
1
11
2
12
2
4
2
7
2
8
3
3
3
4
3
5
I want to recive
ID
kWh
1
32
2
31
3
12
The table itself is more complex and larger. But the point is this. How can this be done? And I can't know in advance the ID numbers of the first column.
SELECT T.ID,SUM(T.KWH)SUM_KWH
FROM YOUR_TABLE T
GROUP BY T.ID
Do you need this one?
Let's assume your database name is 'testdb' and table name is 'table1'.
SELECT * FROM testdb.table1;
SELECT id, SUM(kwh) AS "kwh2"
FROM stack.table1
WHERE id = 1
keep running the query will all (ids). you will get output.
By following this query you will get desired output.
Hope this helps.
I have a very simple stock ledger dataset.
1. date_and_time store_id product_id batch opening_qty closing_qty inward_qty outward_qty
2. 01-10-2021 14:20:00 56 a 1 5 1 0 4
3. 01-10-2021 04:20:00 56 a 1 8 5 0 3
4. 02-10-2021 15:30:00 56 a 1 9 2 1 8
5. 03-10-2021 08:40:00 56 a 2 2 6 4 0
6. 04-10-2021 06:50:00 56 a 2 8 4 0 4
Output I want:
select date, store_id,product_id, batch, first(opening_qty),last(closing_qty), sum(inward_qty),sum(outward_qty)
e.g.
1. date store_id product_id batch opening_qty closing_qty inward_qty outward_qty
2. 01-10-2021 56 a 1 8 1 0 7
I am writing a query using First_value window function and tried several others but not able to get the out put I want.
select
date,store_id,product_id,batch,
FIRST_VALUE(opening_total_qty)
OVER(
partition by date,store_id,product_id,batch
ORDER BY created_at
) as opening__qty,
sum(inward_qty) as inward_qty,sum(outward_qty) as outward_qty
from table
group by 1,2,3,4,opening_total_qty
Help please.
As your expected result is one row per group of rows with the same date, you need aggregates rather than window functions which provide as many rows as the ones filtered by the WHERE clause. You can try this :
SELECT date_trunc('day', date),store_id,product_id,batch
, (array_agg(opening_qty ORDER BY datetime ASC))[1] as opening__qty
, (array_agg(closing_qty ORDER BY datetime DESC))[1] as closing_qty
, sum(inward_qty) as inward_qty
, sum(outward_qty ) as outward_qty
FROM table
GROUP BY 1,2,3,4
see the test result in dbfidle.
I'm building a report in IBM Cognos report studio.
A set of data looks like this:
including location name, item name , item number , and days in inventory.
id date type hours
1 10/27/2021 work 7
1 10/27/2021 overtime 1
1 10/24/2021 work 7
1 10/26/2021 work 7
I use total to sum the hours for the same date
total ([Hours] for [Date],[ID])
It returns:
id date type hours
1 10/27/2021 work 8
1 10/27/2021 overtime 8
1 10/24/2021 work 7
1 10/26/2021 work 7
Then I tried a count and running count. then set count = 1 in the filter. Set object aggregate after.
Data returns:
id date type hours count
1 10/27/2021 work 1 1
1 10/27/2021 overtime 1 2
1 10/24/2021 work 1 1
1 10/26/2021 work 1 1
what I need:
id date type hours
1 10/27/2021 work 8
1 10/24/2021 work 7
1 10/26/2021 work 7
Thanks for your help!
The requirement is still a bit unclear, but if I understand it correctly, the query needs these data items:
Name
Expression
Aggregation
id
[id]
none
date
[date]
none
type
'work'
none
hours
[hours]
Total
Then add a filter with this expression:
[type] in ('work', 'overtime')
Include any values for [type] that you consider "work".
Alternatively, because your comments indicate your sample input and desired output are incomplete...
Name
Expression
Aggregation
id
[id]
none
date
[date]
none
type
case when [type] in ('work', 'overtime') then 'work' else [type] end
none
hours
[hours]
Total
...without the filter.
I have table where number of errors made by an employee is stored.
i_empid error_category error_count date
13 1 1 1-feb-2017
13 2 1 1-feb-2017
13 2 2 3-feb-2017
341 1 1 3-feb-2017
I want result set to group by error category for particular date
error_category error_count 1-feb-2017 2-feb-2017 3-feb-2017
1 2 1 0 1
2 0 1 0 2
How can I achieve this?
I am not sure what database you use, is it MySQL?
I think youre trying to do something like this:
select t.error_category, t.error_count, sum(IF(t.date='1-feb-2017',1,0)) as `1-feb-2017`,
sum(IF(t.date='3-feb-2017',1,0)) as `3-feb-2017`
from <yourTable> t
group by t.error_category
There are different ways to archieve this actually
What I want to do is basically:
select Type, (Count(*) where Date='')as 10/1, (Count(*) where Date='')as 10/2
from my table
group by Type
What I want it to look like is:
Type 10/1 10/2
1 5 7
2 3 1
3 6 9
4 1 3
5 9 8
However, when I try to run a full select within each count column, I end up getting
Type 10/1 10/2
1 12 15
2 12 15
3 12 15
4 12 15
5 12 15
Any suggestions are appreciated. I'm not sure if I will need to run a pivot or not, but I wouldn't think so. Additionally after I can run that for any specific day, I was thinking about trying to put the date into a variable and trying to run the whole thing for a date range, generating columns dynamically for each day its run. I would probably create a new question for that though.
Try this;
SELECT TYPE
,SUM(CASE WHEN MyDate = '' THEN 1 ELSE 0 END) AS [10/1]
,SUM(CASE WHEN MyDate = '' THEN 1 ELSE 0 END) AS [10/2]
FROM MyTable
GROUP BY TYPE