My current issue is that I have a running balance, where one value falls below another the running balance needs to reset. But not only reset, but also use a another value as its starting value and start the balance again.
Below is the table with data in it:
+-------------+--------+---------------------+-------------------+--------------+-------------+
| Tran_DateSK | Amount | Running_AccountFees | Overlimit_Balance | Restart_Calc | Actual_Calc |
+-------------+--------+---------------------+-------------------+--------------+-------------+
| 20200217 | 39 | 39 | 3867.76 | 0 | 39 |
| 20200217 | 50 | 89 | 3867.76 | 0 | 89 |
| 20200316 | 39 | 128 | 4735.52 | 0 | 128 |
| 20200316 | 50 | 178 | 4735.52 | 0 | 178 |
| 20200324 | 50 | 228 | 2685.52 | 0 | 228 |
| 20200330 | 50 | 278 | 49.52 | 1 | 49.52 |
| 20200415 | 39 | 317 | 49.52 | 1 | 49.52 |
| 20200515 | 39 | 356 | 3917.28 | 0 | 88.52 |
| 20200515 | 50 | 406 | 3917.28 | 0 | 138.52 |
| 20200519 | 50 | 456 | 3467.28 | 0 | 188.52 |
| 20200604 | 50 | 506 | 3017.28 | 0 | 238.52 |
| 20200609 | 50 | 556 | 2167.28 | 0 | 288.52 |
| 20200611 | 50 | 606 | 49.28 | 1 | 49.28 |
| 20200615 | 39 | 645 | 3917.04 | 0 | 88.28 |
| 20200615 | 50 | 695 | 3917.04 | 0 | 138.28 |
| 20200616 | 50 | 745 | 3017.04 | 0 | 188.28 |
| 20200616 | 50 | 795 | 3017.04 | 0 | 238.28 |
| 20200619 | 50 | 845 | 2567.04 | 0 | 288.28 |
| 20200624 | 50 | 895 | 47.04 | 1 | 47.04 |
| 20200715 | 39 | 934 | 47.04 | 1 | 47.04 |
+-------------+--------+---------------------+-------------------+--------------+-------------+
Actual Calc is the desired outcome and Running account fees is the issue.
Running account fees is the running balance of "Amount" and overlimit_balance is the test. We need to see that the running_accountfees isn't greater than over limit,
If it is, take overlimits value and start calculating again by adding amount on again.
My query that produced this:
SELECT
[Transaction].ReportDateSK AS 'Tran_DateSK'
,[Transaction].AmountChange/100.00 AS 'Amount'
,SUM([Transaction].AmountChange/100.00)
OVER (PARTITION BY [Transaction].AccountSK
ORDER BY [Transaction].ReportDateSK
ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS 'Running_AccountFees'
,[Summary].Overlimit_Balance AS 'Overlimit_Balance'
,CASE
WHEN SUM([Transaction].AmountChange/100.00)
OVER (PARTITION BY [Transaction].AccountSK
ORDER BY [Transaction].ReportDateSK
ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) > [Summary].Overlimit_Balance
THEN 1
ELSE 0
END AS 'Restart_Calc'
,'' AS 'Actual_Calc'
FROM
Fact.[Transaction] [Transaction]
INNER JOIN Fact.AccountSummary [Summary] ON [Summary].DateSK = [Transaction].ReportDateSK
AND [Summary].AccountSK = [Transaction].AccountSK
AND [Summary].[Current] = 1
WHERE IsFeeTransaction = 1
AND [Transaction].AccountSK = 725
AND [Transaction].ReportDateSK BETWEEN 20200217 AND 20200730
Realised that the data in your question is essentially the source data and have been able to come up with the below. It isn't exactly pretty but it provides the correct output. Explanations on how it works are in the comments:
declare #t table(Tran_DateSK int, Amount decimal(10,2), Running_AccountFees int, Overlimit_Balance decimal(10,2), Restart_Calc bit, Actual_Calc decimal(10,2));
insert into #t values(20200217,39,39,3867.76,0,39),(20200217,50,89,3867.76,0,89),(20200316,39,128,4735.52,0,128),(20200316,50,178,4735.52,0,178),(20200324,50,228,2685.52,0,228),(20200330,50,278,49.52,1,49.52),(20200415,39,317,49.52,1,49.52),(20200515,39,356,3917.28,0,88.52),(20200515,50,406,3917.28,0,138.52),(20200519,50,456,3467.28,0,188.52),(20200604,50,506,3017.28,0,238.52),(20200609,50,556,2167.28,0,288.52),(20200611,50,606,49.28,1,49.28),(20200615,39,645,3917.04,0,88.28),(20200615,50,695,3917.04,0,138.28),(20200616,50,745,3017.04,0,188.28),(20200616,50,795,3017.04,0,238.28),(20200619,50,845,2567.04,0,288.28),(20200624,50,895,47.04,1,47.04),(20200715,39,934,47.04,1,47.04);
with t as
(
select Tran_DateSK
,Amount
-- Check if the Running_AccountFees are over the Overlimit_Balance
,case when sum(Amount) over (order by Tran_DateSK,Amount,Overlimit_Balance rows unbounded preceding) > Overlimit_Balance
-- If so, check if the Running_AccountFees in the previous row were also over the Overlimit_Balance
then case when (sum(Amount) over (order by Tran_DateSK,Amount,Overlimit_Balance rows unbounded preceding) - Amount) > lag(Overlimit_Balance,1,0) over (order by Tran_DateSK,Amount,Overlimit_Balance)
then 0 -- and in those instances this means multiple Restart_Calcs in a row, so set the Amount to zero as we don't want to increase the fees when calculating the Actual_Calc
else Amount
end
else Amount
end as Amount_Adj
,sum(Amount) over (order by Tran_DateSK,Amount,Overlimit_Balance rows unbounded preceding) as Running_AccountFees
,lag(Overlimit_Balance,1,0) over (order by Tran_DateSK,Amount,Overlimit_Balance) as Prev_Overlimit_Balance
,Overlimit_Balance
,case when sum(Amount) over (order by Tran_DateSK,Amount,Overlimit_Balance rows unbounded preceding) > Overlimit_Balance
then 1
else 0
end as Restart_Calc
from #t
)
,b as
(
select *
,case when Running_AccountFees > Overlimit_Balance -- If this row is the first in a possible series of balance resets
and sum(Amount_Adj) over (order by Tran_DateSK,Amount,Overlimit_Balance rows between unbounded preceding and 1 preceding) <= Prev_Overlimit_Balance
then Overlimit_Balance -- Take the Overlimit_Balance and subtract the *Adjusted* Running_AccountFees
- sum(Amount_Adj) over (order by Tran_DateSK,Amount,Overlimit_Balance rows between unbounded preceding and 1 preceding)
- Amount_Adj
else 0
end as Reset_Bal
from t
)
select Tran_DateSK
,Amount
,Running_AccountFees
,Overlimit_Balance
,Restart_Calc
-- For each *Adjusted* Running_AccountFees, apply the most negative Reset_Bal value, as this will contain the entire amount that needs to be reset from the current *Adjusted* Running_AccountFees to get the correct Balance_Calc
,sum(Amount_Adj) over (order by Tran_DateSK,Amount,Overlimit_Balance rows unbounded preceding)
+ min(Reset_Bal) over (order by Tran_DateSK,Amount,Overlimit_Balance rows unbounded preceding)
as Balance_Calc
from b
order by Tran_DateSK;
Output
+-------------+--------+---------------------+-------------------+--------------+--------------+
| Tran_DateSK | Amount | Running_AccountFees | Overlimit_Balance | Restart_Calc | Balance_Calc |
+-------------+--------+---------------------+-------------------+--------------+--------------+
| 20200217 | 39.00 | 39.00 | 3867.76 | 0 | 39.00 |
| 20200217 | 50.00 | 89.00 | 3867.76 | 0 | 89.00 |
| 20200316 | 39.00 | 128.00 | 4735.52 | 0 | 128.00 |
| 20200316 | 50.00 | 178.00 | 4735.52 | 0 | 178.00 |
| 20200324 | 50.00 | 228.00 | 2685.52 | 0 | 228.00 |
| 20200330 | 50.00 | 278.00 | 49.52 | 1 | 49.52 |
| 20200415 | 39.00 | 317.00 | 49.52 | 1 | 49.52 |
| 20200515 | 39.00 | 356.00 | 3917.28 | 0 | 88.52 |
| 20200515 | 50.00 | 406.00 | 3917.28 | 0 | 138.52 |
| 20200519 | 50.00 | 456.00 | 3467.28 | 0 | 188.52 |
| 20200604 | 50.00 | 506.00 | 3017.28 | 0 | 238.52 |
| 20200609 | 50.00 | 556.00 | 2167.28 | 0 | 288.52 |
| 20200611 | 50.00 | 606.00 | 49.28 | 1 | 49.28 |
| 20200615 | 39.00 | 645.00 | 3917.04 | 0 | 88.28 |
| 20200615 | 50.00 | 695.00 | 3917.04 | 0 | 138.28 |
| 20200616 | 50.00 | 745.00 | 3017.04 | 0 | 188.28 |
| 20200616 | 50.00 | 795.00 | 3017.04 | 0 | 238.28 |
| 20200619 | 50.00 | 845.00 | 2567.04 | 0 | 288.28 |
| 20200624 | 50.00 | 895.00 | 47.04 | 1 | 47.04 |
| 20200715 | 39.00 | 934.00 | 47.04 | 1 | 47.04 |
+-------------+--------+---------------------+-------------------+--------------+--------------+
I have a table be like:
| Date | Week | Name | No | Count |
|-----------|------|--------|----|-------|
| 2019/4/1 | 14 | John | 1 | 1 |
| 2019/4/1 | 14 | Mary | 2 | 1 |
| 2019/4/9 | 15 | Kevin | 3 | 2 |
| 2019/4/9 | 15 | John | 4 | 1 |
| 2019/4/9 | 15 | Jessie | 5 | 1 |
| 2019/4/18 | 16 | Kevin | 6 | 1 |
| 2019/4/18 | 16 | John | 7 | 1 |
| 2019/4/18 | 16 | Jessie | 8 | 2 |
| 2019/4/18 | 16 | Mary | 9 | 3 |
| 2019/4/18 | 16 | Mary | 10 | 1 |
| 2019/4/18 | 16 | Jessie | 11 | 1 |
| 2019/4/24 | 17 | Mary | 12 | 1 |
| 2019/4/24 | 17 | Jessie | 13 | 1 |
What I want to do is to calculate people's total count per Week.
And sort by their total count.
I know GROUP BY can make this happen, I've tried, but just can't figure it out.
This is what I expect:
| Name | 14 | 15 | 16 | 17 | Total |
|--------|----|----|----|----|-------|
| Mary | 1 | 0 | 4 | 1 | 6 |
| Jessie | 0 | 1 | 3 | 1 | 5 |
| John | 1 | 1 | 1 | 0 | 3 |
| Kevin | 0 | 2 | 1 | 0 | 3 |
| Total | 2 | 4 | 9 | 2 | 17 |
How can I do?
Select [Name]
,sum(case when [Week] = 14 then [Count] else 0 end) as Week14
,sum(case when [Week] = 15 then [Count] else 0 end) as Week15
,sum(case when [Week] = 16 then [Count] else 0 end) as Week16
,sum(case when [Week] = 17 then [Count] else 0 end) as Week17
,sum([Count]) as Total
from [table]
group by [Name]
order by Total
I'm not sure which version of DB2 you're using (LUW/zOS/i) so this is a general answer. The week number can be made to be more flexible but a certain amount of hard coding will need to be done for the number of weeks.
I have two tables with data
TABLE 1:
Counts of service for weekdays
-------------------------------------------------------
| Day of Wk| Sun | Mon | Tue | Wed | Thu | Fri | Sat |
| 1 | 50 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | 0 | 75 | 0 | 0 | 0 | 0 | 0 |
| 3 | 0 | 0 | 89 | 0 | 0 | 0 | 0 |
TABLE 2:
Table 2 with Production Totals by for selected services (Prod A - C) by weekday
-------------------------------------------------------
| Day of Wk| Date | Prod_A | Prod_B | Prod_C |
| 1 | 2015-01-01 | 4000 | 8000 | 9000 |
| 2 | 2015-01-14 | 3000 | 7000 | 8000 |
| 3 | 2015-01-05 | 2000 | 2000 | 5000 |
I need a query to produce this table:
Service counts of Weekdays = Total Service counts of table 1 in a column
-------------------------------------------------------
| Day of Wk | Service_Count | Prod_A | Prod_B | Prod_C |
| Sun | 50 | 4000 | 8000 | 9000 |
| Mon | 75 | 3000 | 7000 | 8000 |
| Tue | 89 | 2000 | 2000 | 5000 |
I am pretty new to pivoting and not sure if pivot is way to go for this or not.
In this recordset the Day of Wk column represents the day of the week, i.e. 1=Sunday
Not sure but looks simple to me.Sorry if I have not understood your question.
select t1.days_of_Week,(t1.sun+t1.mon+t1.tue+t1.wed+t1.thr+t1.fri+t1.sat)
Service_Count, t2.Prod_A,t2.Prod_B,t2.Prod_C
from Table1 t1,Table2 t2
where t1.days_of_week = t2.days_of_Week;
If you are trying to produce what you shared then the following query should do the job... #Swazzy
SELECT unpiv.[Day] AS Days_of_Week, unpiv.[Count] AS Service_Count,t2.Prod_A,t2.Prod_B,t2.Prod_C
FROM ( SELECT t.* FROM Table1 t) d
UNPIVOT
(
[Count]
for [Day] in (Sun, Mon, Tue, Wed, Thurs, Fri)
) unpiv
INNER JOIN Table2 t2 ON t2.Days_of_week = unpiv.days_of_week
WHERE unpiv.[Count] > 0
I have never used SQL Pivot before and need help
I have the following data table (wkYield) in MS SQL Server 2012 which looks like:
| id | Trav_num | Part_num | Reason_code | Scrap | date |
| 1 | 123123 | 400 | cw_iweld | 1 | 1/1/2015 |
| 2 | 123122 | 400 | cw_iweld | 1 | 1/1/2015 |
| 3 | 123124 | 400 | cw_iweld | 0 | 1/7/2015 |
| 4 | 123124 | 400 | cw_iweld | 1 | 1/7/2015 |
| 5 | 123121 | 400 | cw_hole | 0 | 1/1/2015 |
| 6 | 123121 | 400 | cw_hole | 1 | 1/1/2015 |
| 7 | 123110 | 400 | cw_hole | 0 | 1/7/2015 |
| 8 | 123110 | 400 | cw_hole | 1 | 1/7/2015 |
| 9 | 123111 | 410 | cw_iweld | 0 | 1/1/2015 |
| 10 | 123111 | 410 | cw_iweld | 1 | 1/1/2015 |
| 11 | 123333 | 410 | cw_iweld | 1 | 1/1/2015 |
I would like to use SQL to pivot the data to count the # of rows and display like the following:
| Part_num | Reason_code | Week | Scrap=1 Cnt(reason)| Scrap=0 Cnt(reason)|
| 400 | cw_weld | 1 | 2 | 1 |
| 400 | cw_hole | 1 | 1 | 1 |
| 400 | cw_weld | 2 | 1 | 1 |
| 400 | cw_hole | 2 | 1 | 1 |
| 410 | cw_iweld | 1 | 2 | 1 |
And then the result should be placed in table wkYieldSum
I don't know for any given week number what the reason codes are (They change week to week but do have a lot of repeats.
All your help is very appreciated!
You can do this two ways one is conditional Aggregate another way is Pivot. I prefer Conditional Aggregate which more readable in my opinion
select Part_num,
Reason_code,
datepart(Week,[date]) as [Week],
count(case when Scrap=1 then 1 end) as [Scrap=1 Cnt(reason)],
count(case when Scrap=0 then 1 end) as [Scrap=0 Cnt(reason)],
From Yourtable
Group by Part_num,
Reason_code,
datepart(Week,[date])