I have a table named "Orders"
It has following fields:
OrderID, OrderDate, ..... ,City, StatusID.
I want this result as return:
City No. of Delivered Orders, No. of Pending (Not Delivered)
-------------------------------------------------------------------
London 3 4
Paris 5 6
New York 7 8
Since we have only one field to track the delivery status that is StatusID, so I am facing difficulty in order to count for two conditions at a time..
Thanx in Advance :)
select City,
sum(case when StatusID = 'delivered' then 1 else 0 end) as [No. of Delivered Orders],
sum(case when StatusID = 'not_delivered' then 1 else 0 end) as [No. of Pending]
from Orders
Related
I have a table that contains 3 columns: personID, weeknumber, and event. Event is 0 if there was no event for that person in that week and 1 if there was.
I need to create a new column weekssincelastevent which will be 0 for the week where event=1 and then 1,2,3,4 etc for the weeks afterwards. If there is a later event then it starts from 0 again. E.g.
personID
weeknumber
event
weekssincelastevent
1
1
0
NULL
1
2
0
NULL
1
3
1
0
1
4
0
1
1
5
0
2
1
6
0
3
2
1
0
NULL
2
2
1
0
2
3
0
1
2
4
1
0
2
5
0
1
The column should be NULL before the first events and all values NULL where a personID never has event.
I can't think how to write this in SQL.
The table has ~600m rows (60m personIDs with 100 weeknumbers each, although some personIDs don't have all the weeknumbers).
Many thanks for any insight.
This is a bit of a gaps and island problem here. The first part, in the CTE, puts the data into "groups". Each time there is an event that's a new group. it also calculates the number of weeks that past since the prior week (which is set to 0 for rows hosting an event). Then in the outer query we SUM the number of weeks past in each group, giving the number of weeks that have passed:
WITH Groups AS(
SELECT PersonID,
WeekNumber,
Event,
COUNT(CASE Event WHEN 1 THEN 1 END) OVER (PARTITION BY PersonID ORDER BY WeekNumber ASC
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS Events,
CASE Event WHEN 0 THEN WeekNumber - LAG(WeekNumber) OVER (PARTITION BY PersonID ORDER BY WeekNumber ASC) ELSE 0 END AS WeeksPassed
FROM dbo.YourTable)
SELECT PersonID,
WeekNumber,
Event,
CASE WHEN Events = 0 THEN NULL
ELSE SUM(WeeksPassed) OVER (PARTITION BY PersonID, Events ORDER BY WeekNumber ASC
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)
END AS WeekSinceLastEvent
FROM Groups;
db<>fiddle
You can do this with a conditional aggregate within a windowed function:
SELECT t.PersonID,
t.WeekNumber,
t.Event,
WeeksSinceLastEvent = t.WeekNumber - MAX(CASE WHEN t.Event = 1 THEN t.WeekNumber END)
OVER(PARTITION BY t.PersonID ORDER BY t.WeekNumber)
FROM dbo.T AS t;
The key parts are:
CASE WHEN t.Event = 1 THEN t.WeekNumber END Only consider week number where it is a valid event. Since MAX with ignore nulls this will only consider relevant rows
OVER (PARTITION BY t.PersonID ORDER BY t.WeekNumber) - Only consider rows for the current person, where the weeknumber is lower than the current row.
Example on DB<>Fiddle
I want to count how many occurrences there is of the value 1 in the attribute months for each ID in a table.
Here is what I am working with
ID. Months
1000 1
1000 1
1000 2
1001 2
1002 3
1003 1
This is what I would like to have
ID. Count(Months=1)
1000 2
1003 1
If you want to count row for just one month, you can use WHERE clause for filtering:
select id,
count(*) as cnt
from your_table
where month = 1
group by id;
If you want to get counts for multiple months in one row (it's called pivoting), you can use conditional aggregation in most of the databases:
select id,
count(case when month = 1 then 1 end) as cnt_month_1,
count(case when month = 2 then 1 end) as cnt_month_2,
count(case when month = 3 then 1 end) as cnt_month_3,
. . .
from your_table
group by id;
Some databases offer PIVOT operator for this task. For that, you'll need to specify which database you are using.
I am building a procedure that when given a customerID it will subtract an account's type 2 (Credit card) balance from an account type 1 (Savings) balance, if there is an savings account then it subtracts the credit card balance.
(ex savings balance - credit card balance = total balance)
My table is set up like such
ID Number Balance AccountType CustomerID
-----------------------------------------------------------
1 2434789 451.23 1 1
2 2435656 1425.12 1 2
3 2434789 12.56 2 1
4 4831567 45894.23 2 2
5 8994785 500.00 2 3
6 4582165 243.10 2 4
7 7581462 1567842.21 1 3
8 2648956 1058.63 2 5
9 4582165 4865.12 1 4
10 4186545 481.56 2 6
I have tried looking this up to get some guidance but everything I have found hasn't quite helped me. If someone can explain or show me what I need to do that would be great, this is the only part of my assignment I am stuck on.
You could group by CustomerId and get the sum of saving and credit balances
select
c.CustomerId,
SUM(CASE WHEN AccountType = 1 THEN Balance ELSE 0 END) Saving,
SUM(CASE WHEN AccountType = 2 THEN Balance ELSE 0 END) Credit,
from
Customer c
group by
c.CustomerId
And then you can easily get the total with below query:
Select
CustomerId,
Saving - Credit
from
(
select
c.CustomerId,
SUM(CASE WHEN AccountType = 1 THEN Balance ELSE 0 END) Saving,
SUM(CASE WHEN AccountType = 2 THEN Balance ELSE 0 END) Credit,
from Customer c
group by c.CustomerId
) cust
You join the table to itself, where each side of the join only includes the appropriate account type records:
SELECT coalesce(s.CustomerID, cc.CustomerID) CustomerID
,coalesce(s.Number, cc.Number) Number
coalesce(s.Balance,0) - coalesce(cc.Balance,0) Balance
FROM (SELECT * FROM [accounts] WHERE AccountType = 2) s
FULL JOIN (SELECT * FROM [accounts] WHERE AccountType = 1) cc on cc.customerID = s.customerID
and thank you all in advance for your help.
I'm trying to take the results from two separate queries and include them in a third query that has a CASE statement. I've had some success but I'm not able to present the results of the third query in the proper order. The purpose of this is to show the employee count for each department under the different managers. So far I can only load separately the manager names and their departments and employee department count totals by department. What I can't figure out is how to get the manager names in and the employee department count in for each manager row. Below are the two source queries I've used so far and the query with the CASE statement. I've also looked at UNPIVOT function with no success yet.
a) This simple query lists each primary manager name. There are also sub managers that will be returned using a hierarchy query later.
select name from employees "Boss" where employeeid in
(‘1’,'5','25','84','85');
b) This query returns the department id count for each main manager (‘1’,'5','25','84','85') as well as all sub-managers.
select departmentid, count(departmentid) COUNT from employees
where departmentid = departmentid and level <= 3
connect by prior employeeid = bossid
start with employeeid = 5
group by departmentid
order by departmentid;
c) Here’s a CASE statement that outputs exactly as desired. The problem here is the select statement currently outputs only the manager names and the manager departments into the columns. What I need to do is output both the manager names and the manager's employee department counts into the individual manager row columns. I've tried to do a separate select of the manager names to get the ‘Boss’ column and another select to include the department counts. But that got messy. Also passing the counts in a second statement would create an additional unwanted column.
select e.name "Boss",
COUNT(CASE WHEN d.departmentid = '1' THEN 1 END) AS "Finance",
COUNT(CASE WHEN d.departmentid = '2' THEN 1 END) AS "HR",
COUNT(CASE WHEN d.departmentid = '3' THEN 1 END) AS "IT",
COUNT(CASE WHEN d.departmentid = '4' THEN 1 END) AS "Marketing",
COUNT(CASE WHEN d.departmentid = '5' THEN 1 END) AS "Sales"
from employees e, departments d
where e.employeeid in (select distinct e.bossid from employees e)
and e.departmentid = d.departmentid (+)
group by e.name
order by e.name;
Boss Finance HR IT Marketing Sales
-------------------- ---------- ---------- ---------- ---------- ----------
Baxter Carney 0 0 0 0 1
Blythe Pierce 0 0 0 0 1
Here's an altered CASE query that loads the employee department counts but unfortunately it loads by department and not by individual manager. That is the problem I'm stuck on right now. How to pass the counts to the right manager and into the right column.
select departmentid "DEPTNO",
COUNT(CASE WHEN departmentid = '1' THEN 1 END) AS "Finance",
COUNT(CASE WHEN departmentid = '2' THEN 1 END) AS "HR",
COUNT(CASE WHEN departmentid = '3' THEN 1 END) AS "IT",
COUNT(CASE WHEN departmentid = '4' THEN 1 END) AS "Marketing",
COUNT(CASE WHEN departmentid = '5' THEN 1 END) AS "Sales"
from employees
where departmentid = departmentid and level <= 3
connect by prior employeeid = bossid
start with employeeid = 5
group by departmentid
order by departmentid
/
DEPTNO Finance HR IT Marketing Sales
3 0 0 1 0 0
5 0 0 0 0 21
And here's for all managers. You can see that it just keeps increasing the individual department count.
DEPTNO Finance HR IT Marketing Sales
1 4 0 0 0 0
2 0 23 0 0 0
3 0 0 20 0 0
4 0 0 0 1 0
5 0 0 0 0 28
I have a query in MS SQL Server asking for name and some date-related information, depending on two dates, a start- and an enddate.
The problem is, I´m not always getting the same performance. Whenever I request something between the dates;
2010-07-01 00:00:00.000 and
2011-07-21 23:59:59.999
the performance is excellent. I get my result within mseconds. When I request something between these dates, for example,
2011-07-01 00:00:00.000 and
2011-07-21 23:59:59.999
the performance is.. less than good, taking between 20-28 seconds for each query. Do note how the dates giving good performance is more than a year between, while the latter is 20 days.
Is there any particular reason (maybe related to how DATETIME work) for this?
EDIT: The query,
SELECT ENAME,
SUM(CASE DATE WHEN 0 THEN 1 ELSE 0 END) AS U2,
SUM(CASE DATE WHEN 1 THEN 1 ELSE 0 END) AS B_2_4,
SUM(CASE DATE WHEN 2 THEN 1 ELSE 0 END) AS B_4_8,
SUM(CASE DATE WHEN 3 THEN 1 ELSE 0 END) AS B_8_16,
SUM(CASE DATE WHEN 4 THEN 1 ELSE 0 END) AS B_16_24,
SUM(CASE DATE WHEN 5 THEN 1 ELSE 0 END) AS B_24_48,
SUM(CASE DATE WHEN 6 THEN 1 ELSE 0 END) AS O_48,
SUM(CASE DATE WHEN 7 THEN 1 ELSE 0 END) AS status,
AVG(AVG) AS AVG,
SUM(DATE) AS TOTAL
FROM
(SELECT ENAME,
(CASE
WHEN status = 'Öppet' THEN 7
WHEN DATE < 48 THEN
(CASE WHEN DATE BETWEEN 0 AND 2 THEN 0
WHEN DATE BETWEEN 2 AND 4 THEN 1
WHEN DATE BETWEEN 4 AND 8 THEN 2
WHEN DATE BETWEEN 8 AND 16 THEN 3
WHEN DATE BETWEEN 16 AND 24 THEN 4
WHEN DATE BETWEEN 24 AND 48 THEN 5
ELSE - 1 END)
ELSE 6 END) AS DATE,
DATE AS AVG
FROM
(SELECT DATEDIFF(HOUR, cases.date, status.date) AS DATE,
extern.name AS ENAME,
status.status
FROM
cases INNER JOIN
status ON cases.id = status.caseid
AND status.date =
(SELECT MAX(date) AS Expr1
FROM status AS status_1
WHERE (caseid = cases.id)
GROUP BY caseid) INNER JOIN
extern ON cases.owner = extern.id
WHERE (cases.org = 'Expert')
AND (cases.date BETWEEN '2009-01-15 09:48:25.633'
AND '2011-07-21 09:48:25.633'))
AS derivedtbl_1)
AS derivedtbl_2
GROUP BY ENAME
ORDER BY ENAME
(parts of) The tables:
Extern
-ID (->cases.owner)
-name
Cases
-Owner (->Extern.id)
-id (->status.caseid)
-date (case created at this date)
Status
-caseid (->cases.id)
-Status
-Date (can be multiple, MAX(status.date) gives us date when
status was last changed)
I would have thought a statistics issue.
When you are only selecting the most recent dates these may be unrepresented in the statistics yet as the threshold has not yet been reached that would trigger auto updating.
See this blog post for an example.