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 am trying to update an existing table with an individual count of the record on each row in a count column.
The table has the following columns that need to be incremented:
MBR_NO, CLAIM_N0, Effective_Dt, incr_count
So a sample might look like this before the run:
MBR_NO | CLAIM_N0 | Effective_Dt | incr_count |
-------+----------+----------------+------------+
1 | 2 | 1/1/2015 | NULL |
1 | 4 | 5/5/2015 | NULL |
1 | 5 | 6/7/2016 | NULL |
1 | 7 | 8/7/2016 | NULL |
2 | 2 | 4/3/2015 | NULL |
2 | 5 | 5/21/2015 | NULL |
3 | 8 | 3/27/2015 | NULL |
I want to count by MBR_NO and update the Incr_count to look like this:
MBR_NO | CLAIM_N0 | Effective_Dt | incr_count |
-------+----------+----------------+------------+
1 | 2 | 1/1/2015 | 1 |
1 | 4 | 5/5/2015 | 2 |
1 | 5 | 6/7/2016 | 3 |
1 | 7 | 8/7/2016 | 4 |
2 | 2 | 4/3/2015 | 1 |
2 | 5 | 5/21/2015 | 2 |
3 | 8 | 3/27/2015 | 1 |
I need to change that filed for processing later on.
I know this is not that complex but It seemed that the other topics offered solutions that don't incrementally update. Any help would be appreciated.
You could just do this in a query with
ROW_NUMBER() OVER (PARTITION BY MBR_NO ORDER BY Effective_DT).
but does it matter if the number changes? i.e. in your example if you had
MBR_NO EffectiveDate RowNumber
------------------------------------
2 1/1/2017 1
2 5/1/2017 2
but if you inserted a row with an effective date of say 3/1/2017 it would change the row number for the 5/1/2017 row i.e.
MBR_NO EffectiveDate RowNumber
------------------------------------
2 1/1/2017 1
2 3/1/2017 2
2 5/1/2017 3
You can query as below:
Select MBR_NO, CLAIM_N0, Effective_Dt,
incr_count = count(MBR_NO) over(Partition by MBR_NO order by Effective_Dt)
from yourtable
Output as below:
+--------+----------+--------------+------------+
| MBR_NO | CLAIM_N0 | Effective_Dt | incr_count |
+--------+----------+--------------+------------+
| 1 | 2 | 2015-01-01 | 1 |
| 1 | 4 | 2015-05-05 | 2 |
| 1 | 5 | 2016-06-07 | 3 |
| 1 | 7 | 2016-08-07 | 4 |
| 2 | 2 | 2015-04-03 | 1 |
| 2 | 5 | 2015-05-21 | 2 |
| 3 | 8 | 2015-03-27 | 1 |
+--------+----------+--------------+------------+
This query gives me Event values from 1 to 20 within an hour, how to add to that if a consecutive Event value is >=200 as well?
SELECT ID, count(Event) as numberoftimes
FROM table_name
WHERE Event >=1 and Event <=20
GROUP BY ID, DATEPART(HH, AtHour)
HAVING DATEPART(HH, AtHour) <= 1
ORDER BY ID desc
In this dummy 24h table:
+----+-------+--------+
| ID | Event | AtHour |
+----+-------+--------+
| 1 | 1 | 11:00 |
| 1 | 4 | 11:01 |
| 1 | 1 | 11:02 |
| 1 | 20 | 11:03 |
| 1 | 200 | 11:04 |
| 1 | 1 | 13:00 |
| 1 | 1 | 13:05 |
| 1 | 2 | 13:06 |
| 1 | 500 | 13:07 |
| 1 | 39 | 13:10 |
| 1 | 50 | 13:11 |
| 1 | 2 | 13:12 |
+----+-------+--------+
I would like to select IDs with Event with values with range between 1 and 20 followed immediately by value greater than or equal to 200 within an hour.
Expected result should be something like that:
+----+--------+
| ID | AtHour |
+----+--------+
| 1 | 11 |
| 1 | 13 |
| 2 | 11 |
| 2 | 14 |
| 3 | 09 |
| 3 | 12 |
+----+--------+
or just how many times it has happened for unique ID instead of which hour.
Please excuse me I am still rusty with post formatting!
CREATE TABLE data (Id INT, Event INT, AtHour SMALLDATETIME);
INSERT data (Id, Event, AtHour) VALUES
(1,1,'2017-03-16 11:00:00'),
(1,4,'2017-03-16 11:01:00'),
(1,1,'2017-03-16 11:02:00'),
(1,20,'2017-03-16 11:03:00'),
(1,200,'2017-03-16 11:04:00'),
(1,1,'2017-03-16 13:00:00'),
(1,1,'2017-03-16 13:05:00'),
(1,2,'2017-03-16 13:06:00'),
(1,500,'2017-03-16 13:07:00'),
(1,39,'2017-03-16 13:10:00')
;
; WITH temp as (
SELECT rownum = ROW_NUMBER() OVER (PARTITION BY id ORDER BY AtHour)
, *
FROM data
)
SELECT a.id, DATEPART(HOUR, a.AtHour) as AtHour, COUNT(*) AS NumOfPairs
FROM temp a JOIN temp b ON a.rownum = b.rownum-1
WHERE a.Event BETWEEN 1 and 20 AND b.Event >= 200
AND DATEDIFF(MINUTE, a.AtHour, b.AtHour) <= 60
GROUP BY a.id, DATEPART(HOUR, a.AtHour)
;
I have a table with these data
+------------+----------------+------------+
| Department | ProgressStatus | TasksCount |
+------------+----------------+------------+
| A | Completed | 1 |
| C | Completed | 4 |
| D | Completed | 1 |
| B | Pending | 8 |
| A | Pending | 10 |
| C | Pending | 12 |
| D | Pending | 2 |
| C | Progress | 4 |
+------------+----------------+------------+
I need to write a query to get these outputs (It looks like a simple pivot table).
+-------------+-----------+---------+----------+--------------+
| Departments | Completed | Pending | Progress | Total Tasks |
+-------------+-----------+---------+----------+--------------+
| A | 1 | 10 | 0 | 11 |
| B | 0 | 8 | | 8 |
| C | 4 | 12 | 4 | 20 |
| D | 1 | 2 | | 3 |
+-------------+-----------+---------+----------+--------------+
Using conditional SUM and GROUP BY
select
department,
sum(case when ProgressStatus = 'Completed' then TasksCount end) Completed,
sum(case when ProgressStatus = 'Pending' then TasksCount end) Pending,
sum(case when ProgressStatus = 'Progress' then TasksCount end) Progress,
sum(TasksCount) Total
from your_table
group by department;
BY using pivot i tried like this
SELECT Department,isnull(Completed,0) Completed,isnull([Pending],0) [Pending],isnull([Progress],0) [Progress]
,isnull(Completed,0)+isnull([Pending],0)+isnull([Progress],0) as 'total'
FROM #Table2
PIVOT ( sum([TasksCount])
for [ProgressStatus] in ([Completed], [Pending], [Progress])) AS pvt
output
Department Completed Pending Progress total
A 1 10 0 11
B 0 8 0 8
C 4 12 4 20
D 1 2 0 3