I have a requirement to retrieve the data in the below fashion
Weeks delay_count
0 6
1 0
2 3
3 4
4 0
5 1
6 0
7 0
8 0
9 0
10 2
11 0
12 0
13 0
14 0
15 3
Here weeks is the hard coded column from 0 to 15 and delay_count is the derived column. I have a column delay_weeks. Based on the values in this column I need to populate the values in the delay_count column (derived column)
delay_weeks column values are below.
blank
blank
blank
2
10
5
blank
3
2
10
2
3
3
3
0
0
15
22
29
Conditions:
When delay_weeks is blank or 0 then count in the delay_count column should be 1
When delay_weeks is 3 then in the delay_count column the count should be 1 under week 3
When delay_weeks is 10 then in the delay_count column the count should be 1 under week 10
When delay_weeks is greater than or equal to 15 then in the delay_count column the count should be 1 under week 15.
I wrote code like below
SELECT "Weeks", a."delay_count"
FROM (SELECT LEVEL AS "Weeks"
FROM DUAL
CONNECT BY LEVEL <= 15) m,
(SELECT VALUE, COUNT (VALUE) AS "delay_numbers"
FROM (SELECT CASE
WHEN attr11.VALUE >= 15
THEN '15'
ELSE attr11.VALUE
END
VALUE
FROM docs,
(SELECT object_id, VALUE, attribute_type_id
FROM ATTRIBUTES
WHERE attribute_type_id =
(SELECT attribute_type_id
FROM attribute_types
WHERE name_display_code =
'ATTRIBUTE_TYPE.DELAY IN WEEKS')) attr11
WHERE docs.obj_id = attr11.object_id(+)
GROUP BY VALUE) a
WHERE m."Weeks" = a.VALUE(+)
select
weeks,
nvl(cnt, 0) as delay_count
from
(select level-1 as weeks from dual connect by level < 17)
left join (
select
nvl(least(attr11.value, 15), 0) as weeks,
count(0) as cnt
from
DOCS
left join (
ATTRIBUTES attr11
join ATTRIBUTE_TYPES atr_tp using(attribute_type_id)
)
on atr_tp.name_display_code = 'ATTRIBUTE_TYPE.DELAY IN WEEKS'
and docs.obj_id = attr11.object_id
group by nvl(least(attr11.value, 15), 0)
) using(weeks)
order by 1
Reverse-engineering the relevant parts of the table definitions, I think this gives you what you want:
select t.weeks, count(delay) as delay_count
from (select level - 1 as weeks from dual connect by level <= 16) t
left join (
select case when a.value is null then 0
when to_number(a.value) > 15 then 15
else to_number(a.value) end as delay
from docs d
left join (
select a.object_id, a.value
from attributes a
join attribute_types at on at.attribute_type_id = a.attribute_type_id
where at.name_display_code = 'ATTRIBUTE_TYPE.DELAY IN WEEKS'
) a on a.object_id = d.obj_id
) delays on delays.delay = t.weeks
group by t.weeks
order by t.weeks;
With what I think is matching data I get:
WEEKS DELAY_COUNT
---------- -----------
0 6
1 0
2 3
3 4
4 0
5 1
6 0
7 0
8 0
9 0
10 2
11 0
12 0
13 0
14 0
15 3
But obviously since you haven't given the real table structures I'm guessing a bit on the relationships. Obligatory SQL Fiddle.
Related
I have a data (dt) in SQL like the following:
ID time_id act rd
11 1 1 1
11 2 4 1
11 3 7 0
12 1 8 1
12 2 2 0
12 3 4 1
12 4 3 1
12 5 4 1
13 1 4 1
13 2 1 0
15 1 3 1
16 1 8 0
16 2 8 0
16 3 8 0
16 4 8 0
16 5 8 0
and I want to take the subset of this data such that only ids (and their corresponding time_id, act, rd) that has time_id == 5 is retained. The desired output is the following
ID time_id act rd
12 1 8 1
12 2 2 0
12 3 4 1
12 4 3 1
12 5 4 1
16 1 8 0
16 2 8 0
16 3 8 0
16 4 8 0
16 5 8 0
I know I should use having clause somehow but have not been successful so far (returns me empty outputs). below is my attempt:
SELECT * FROM dt
GROUP BY ID
Having min(time_id) == 5;
This query:
select id from tablename where time_id = 5
returns all the ids that you want in the results.
Use it with the operator IN:
select *
from tablename
where id in (select id from tablename where time_id = 5)
You can use a correlated subquery with exists:
select t.*
from t
where exists (select 1 from t t2 where t2.id = t.id and t2.time_id = 5);
WITH temp AS
(
SELECT id FROM tab WHERE time_id = 5
)
SELECT * FROM tab t join temp tp on(t.id=tp.id);
check this query
select * from table t1 join (select distinct ID from table t where time_id = 5) t2 on t1.id =t2.id;
I have a list of stock transactions and I am using Over(Partition By) to calculate the running totals (positions) by security. Over time a holding in a particular security can be long, short or flat. I am trying to find an efficient way to extract only the transactions relating to the current position for each security.
I have created a simplified sqlfiddle to show what I have so far. The cte query generates the running total for each security (code_id) and identifies when the holdings are long (L), short (s) or flat (f). What I need is to group and number matching contiguous values of L, S or F for each code_id.
What I have so far is this:
; WITH RunningTotals as
(
SELECT
*,
RunningTotal = sum(qty) OVER (Partition By code_id Order By id)
FROM
TradeData
), LongShortFlat as
(
SELECT
*,
LSF = CASE
WHEN RunningTotal > 0 THEN 'L'
WHEN RunningTotal < 0 THEN 'S'
ELSE 'F'
END
FROM
RunningTotals
)
SELECT
*
FROM
LongShortFlat r
I think what I need to do is create a GroupNum column by applying a row_number for each group of L, S and F within each code_id so the results look like this:
id code_id qty RunningTotal LSF GroupNum
1 1 5 5 L 1
2 1 2 7 L 1
3 1 7 14 L 1
4 1 -3 11 L 1
5 1 -5 6 L 1
6 1 -6 0 F 2
7 1 5 5 L 3
8 1 5 10 L 3
9 1 -2 8 L 3
10 1 -4 4 L 3
11 2 5 5 L 1
12 2 3 8 L 1
13 2 -4 4 L 1
14 2 -2 2 L 1
15 2 -2 0 F 2
16 2 6 6 L 3
17 2 -5 1 L 3
18 2 -5 -4 S 4
19 2 2 -2 S 4
20 2 4 2 L 5
21 2 -5 -3 S 6
22 2 -2 -5 S 6
23 3 5 5 L 1
24 3 2 7 L 1
25 3 1 8 L 1
I am struggling to generate the GroupNum column.
Thanks in advance for your help.
[Revised]
Sorry about that, I read your question too quickly. I came up with a solution using a recursive common table expression (below), then saw that you've worked out a solution using LAG. I'll post my revised query anyway, for posterity. Either way, the resulting query is (imho) pretty ugly.
;WITH cteBaseAgg
as (
-- Build the "sum increases over time" data
SELECT
row_number() over (partition by td.code_id order by td.code_id, td.Id) RecurseKey
,td.code_id
,td.id
,td.qty
,sum(tdPrior.qty) RunningTotal
,case
when sum(tdPrior.qty) > 0 then 'L'
when sum(tdPrior.qty) < 0 then 'S'
else 'F'
end LSF
from dbo.TradeData td
inner join dbo.TradeData tdPrior
on tdPrior.code_id = td.code_id -- All for this code_id
and tdPrior.id <= td.Id -- For this and any prior Ids
group by
td.code_id
,td.id
,td.qty
)
,cteRecurse
as (
-- "Set" the first row for each code_id
SELECT
RecurseKey
,code_id
,id
,qty
,RunningTotal
,LSF
,1 GroupNum
from cteBaseAgg
where RecurseKey = 1
-- For each succesive row in each set, check if need to increment GroupNum
UNION ALL SELECT
agg.RecurseKey
,agg.code_id
,agg.id
,agg.qty
,agg.RunningTotal
,agg.LSF
,rec.GroupNum + case when rec.LSF = agg.LSF then 0 else 1 end
from cteBaseAgg agg
inner join cteRecurse rec
on rec.code_id = agg.code_id
and agg.RecurseKey - 1 = rec.RecurseKey
)
-- Show results
SELECT
id
,code_id
,qty
,RunningTotal
,LSF
,GroupNum
from cteRecurse
order by
code_id
,id
Sorry for making this question a bit more complicated than it needed to be but for the sake of closure I have found a solution using the lag function.
In order to achieve what I wanted I continued my cte above with the following:
, a as
(
SELECT
*,
Lag(LSF, 1, LSF) OVER(Partition By code_id ORDER BY id) AS prev_LSF,
Lag(code_id, 1, code_id) OVER(Partition By code_id ORDER BY id) AS prev_code
FROM
LongShortFlat
), b as
(
SELECT
id,
LSF,
code_id,
Sum(CASE
WHEN LSF <> prev_LSF AND code_id = prev_code
THEN 1
ELSE 0
END) OVER(Partition By code_id ORDER BY id) AS grp
FROM
a
)
select * from b order by id
Here is the updated sqlfiddle.
I need to get the sum of all TOTAL fields where the ID, RECNO and DRCR fields have the same value, while also displaying these fields in the result set.
eg
ID RECNO SECRECNO DRCR TOTAL
1 9 5 D 25
1 9 12 D 22
1 9 6 C 33
1 9 5 D 50
1 8 2 D 12
1 8 2 C 23
2 9 5 D 100
So the results of the query should be
ID RECNO SECRECNO DRCR SUM(TOTAL)
1 9 5 D 75
1 9 12 D 22
1 9 6 C 33
1 8 2 D 12
1 8 2 C 23
2 9 5 D 100
This query will give the results set, without the TOTAL:
select distinct t1.recno, t1.secrecno
from table t1, table t2
where t1.recno = t2.recno and t.id = '1' and t1.drcr = 'D'
But I can't see how to SUM the TOTAL of these results.
How to do this?
select t1.id,
t1.recno,
t1.secrecno,
t1.drcr,
SUM( TOTAL )
from table t1
INNER JOIN
table t2
ON ( t1.recno = t2.recno )
WHERE t1.id = '1'
AND t1.drcr = 'D'
GROUP BY
t1.id,
t1.recno,
t1.secrecno,
t1.drcr
Lets say I have a table Tbl (Represents simple timelogs for work made on different customers)
Five columns
Id: int
TimeUse: float
IdCustomer: int
Created: DateTime
TimeCalc: float
I have a number of records in this table, (TimeCalc is initialized to value = 0)
What I want my SQL to do is:
when TimeUse for all foregoing records on a specific customer accumulates to a value < 10 then the value in TimeCalc should be 0
when TimeUse for all foregoing records on a specific customer accumulates to a value >= 10 then the value in TimeCalc should be = TimeUse for the record...
I have messed around with Case routines with subqueries, but can't get it working.
BEFORE
Id TimeUse IdCustomer Created TimeCalc
1 2 1 14/09/09 0
2 5 2 14/09/10 0
3 2 1 14/09/11 0
4 5 2 14/09/12 0
5 4 1 14/09/13 0
6 2 2 14/09/14 0
7 4 1 14/09/15 0
8 1 1 14/09/16 0
9 3 2 14/09/17 0
10 2 1 14/09/18 0
11 4 2 14/09/19 0
AFTER
Id TimeUse IdCustomer Created TimeCalc
1 2 1 14/09/09 0
2 5 2 14/09/10 0
3 2 1 14/09/11 0
4 5 2 14/09/12 0
5 4 1 14/09/13 0
6 2 2 14/09/14 2
7 4 1 14/09/15 0
8 1 1 14/09/16 1
9 3 2 14/09/17 3
10 2 1 14/09/18 2
11 4 2 14/09/19 4
Can this be solved in an SQL update?
In SQL Server 2012+, you can do this with a cumulative sum:
select Id, TimeUse, IdCustomer, Created,
(case when sum(timeuse) over (partition by idcustomer order by id) < 10 then 0
else timeuse
end) as timecalc
from table t;
You can do the same thing in earlier versions using outer apply or a subquery.
If you want an update, just use a CTE:
with toupdate as (
select t.*,
(case when sum(timeuse) over (partition by idcustomer order by id) < 10 then 0
else timeuse
end) as new_timecalc
from table t
)
update toupdate
set timecalc = new_timecalc;
EDIT:
The following will work in any version of SQL Server:
with toupdate as (
select t.*,
(case when (select sum(t2.timeuse)
from table t2
where t2.idcustomer = t.idcustomer and
t2.id <= t.id
) < 10 then 0
else timeuse
end) as new_timecalc
from table t
)
update toupdate
set timecalc = new_timecalc;
I have a Table with Data as
RowIndex Id TicketCount
1 23 1
2 25 2
3 3 1
4 14 1
5 16 1
6 18 1
7 1 1
8 6 1
9 15 1 ===> at this row the sum of Ticket Count is 10
10 22 1
11 27 1
12 24 1
13 26 2
14 9 1
15 19 1
From this Data I want to Select All Records where The Sum of Ticket Count will be equal to 10(user input value)
In the Given data I want to Select all Records till Row Index 9.
Output should be:
RowIndex Id TicketCount
1 23 1
2 25 2
3 3 1
4 14 1
5 16 1
6 18 1
7 1 1
8 6 1
9 15 1
SQL Server 2008 doesn't have the cumulative sum function. I implement it using a correlated subquery:
select RowIndex, Id, TicketCount
from (select t.*,
(select sum(TicketCount)
from t t2
where t2.RowIndex <= t.RowIndex
) as cumTicketCount
from t
) t
where cumTicketCount <= 10;
In SQL Server 2012, you can phrase this using a window function:
select RowIndex, Id, TicketCount
from (select t.*, sum(TicketCount) over (order by RowIndex) as CumTicketCount
from t
) t
where cumTicketCount <= 10;
You can do it using recursive CTE:
WITH RCTE AS
(
SELECT *, TicketCount AS Total
FROM Table1
WHERE RowIndex = 1
UNION ALL
SELECT t.*, r.Total + t.TicketCount
FROM RCTE r
INNER JOIN Table1 t ON r.RowIndex + 1 = t.RowIndex
WHERE r.Total + t.TicketCount <= 10 --your input value
)
SELECT * FROM RCTE
SQLFiddle DEMO