How could I count data in range which could be configured
Something like this,
CAR_AVBL
+--------+-----------+
| CAR_ID | DATE_AVBL |
+--------------------|
| JJ01 | 1 |
| JJ02 | 1 |
| JJ03 | 3 |
| JJ04 | 10 |
| JJ05 | 13 |
| JJ06 | 4 |
| JJ07 | 10 |
| JJ08 | 1 |
| JJ09 | 23 |
| JJ10 | 11 |
| JJ11 | 20 |
| JJ12 | 3 |
| JJ13 | 19 |
| JJ14 | 22 |
| JJ15 | 7 |
+--------------------+
ZONE_CFG
+--------+------------+
| DATE | ZONE_DESCR |
+--------+------------+
| 15 | GREEN_ZONE |
| 25 | YELLOW_ZONE|
| 30 | RED_ZONE |
+--------+------------+
Table ZONE_CFG is configurable, so I could not use static value for this
The DATE column mean maximum date for each ZONE
And the result what I expected :
+------------+----------+
| ZONE_DESCR | AVBL_CAR |
+------------+----------+
| GREEN_ZONE | 11 |
| YELLOW_ZONE| 4 |
| RED_ZONE | 0 |
+------------+----------+
Please could someone help me with this
You can use LAG and group by as following:
SELECT
ZC.ZONE_DESCR,
COUNT(1) AS AVBL_CAR
FROM
CAR_AVBL CA
JOIN ( SELECT
ZONE_DECR,
COALESCE(LAG(DATE) OVER(ORDER BY DATE) + 1, 0) AS START_DATE,
DATE AS END_DATE
FROM ZONE_CFG ) ZC
ON ( CA.DATE_AVBL BETWEEN ZC.START_DATE AND ZC.END_DATE )
GROUP BY
ZC.ZONE_DESCR;
Note: Don't use oracle preserved keywords (DATE, in your case) as the name of the columns. Try to change it to something like DATE_ or DATE_START or etc..
Cheers!!
If you want the zero 0, I might suggest a correlated subquery instead:
select z.*,
(select count(*)
from car_avbl c
where c.date_avbl >= start_date and
c.date_avbl <= date
) as avbl_car
from (select z.*,
lag(date, 1, 0) as start_date
from zone_cfg z
) z;
In Oracle 12C, can phrase this using a lateral join:
select z.*,
(c.cnt - lag(c.cnt, 1, 0) over (order by z.date)) as cnt
from zone_cfg z left join lateral
(select count(*) as cnt
from avbl_car c
where c.date_avbl <= z.date
) c
on 1=1
I have a 1 table in a db that stored Incoming, Outgoing and Net values for various Account Codes over time. Although there is a date field the sequence of events per Account Code is based on the "Version" number where 0 = original record for each Account Code and it increments by 1 after each change to that Account Code.
The Outgoing and Incoming values are stored in the db as cumulative values rather than the individual transaction value but I am looking for a way to Select * From this table and return the individual amounts as opposed to the cumulative.
Below are test scripts of table and data, and also 2 examples.
If i Select where code = '123' in the test table I currently get this (values are cumulative);
+------+------------+---------+---------+---------+-----+
| Code | Date | Version | Incoming| Outgoing| Net |
+------+------------+---------+---------+---------+-----+
| 123 | 01/01/2018 | 0 | 100 | 0 | 100 |
| 123 | 07/01/2018 | 1 | 150 | 0 | 150 |
| 123 | 09/01/2018 | 2 | 150 | 100 | 50 |
| 123 | 14/01/2018 | 3 | 200 | 100 | 100 |
| 123 | 18/01/2018 | 4 | 200 | 175 | 25 |
| 123 | 23/01/2018 | 5 | 225 | 175 | 50 |
| 123 | 30/01/2018 | 6 | 225 | 225 | 0 |
+------+------------+---------+---------+---------+-----+
This is what I would like to see (each individual transaction);
+------+------------+---------+----------+----------+------+
| Code | Date | Version | Incoming | Outgoing | Net |
+------+------------+---------+----------+----------+------+
| 123 | 01/01/2018 | 0 | 100 | 0 | 100 |
| 123 | 07/01/2018 | 1 | 50 | 0 | 50 |
| 123 | 09/01/2018 | 2 | 0 | 100 | -100 |
| 123 | 14/01/2018 | 3 | 50 | 0 | 50 |
| 123 | 18/01/2018 | 4 | 0 | 75 | -75 |
| 123 | 23/01/2018 | 5 | 25 | 0 | 25 |
| 123 | 30/01/2018 | 6 | 0 | 50 | -50 |
+------+------------+---------+----------+----------+------+
If I had the individual transaction values and wanted to report on the cumulative, I would use an OVER PARTITION BY, but is there an opposite to that?
I am not looking to redesign the create table or the process in which it is stored, I am just looking for a way to report on this from our MI environment.
Note: I've added other random Account Codes into this to emphasis how the data is not ordered by Code or Version, but by Date.
thanks in advance for any help.
USE [tempdb];
IF EXISTS ( SELECT *
FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_NAME = 'Table1'
AND TABLE_SCHEMA = 'dbo')
DROP TABLE [dbo].[Table1];
GO
CREATE TABLE [dbo].[Table1]
(
[Code] CHAR(3)
,[Date] DATE
,[Version] CHAR(3)
,[Incoming] DECIMAL(20,2)
,[Outgoing] DECIMAL(20,2)
,[Net] DECIMAL(20,2)
);
GO
INSERT INTO [dbo].[Table1] VALUES
('123','2018-01-01','0','100','0','100'),
('456','2018-01-02','0','50','0','50'),
('789','2018-01-03','0','0','0','0'),
('456','2018-01-04','1','100','0','100'),
('456','2018-01-05','2','150','0','150'),
('789','2018-01-06','1','50','50','0'),
('123','2018-01-07','1','150','0','150'),
('456','2018-01-08','3','200','0','200'),
('123','2018-01-09','2','150','100','50'),
('789','2018-01-10','2','0','0','0'),
('456','2018-01-11','4','225','0','225'),
('789','2018-01-12','3','75','25','50'),
('987','2018-01-13','0','0','50','-50'),
('123','2018-01-14','3','200','100','100'),
('654','2018-01-15','0','100','0','100'),
('456','2018-01-16','5','250','0','250'),
('987','2018-01-17','1','50','50','0'),
('123','2018-01-18','4','200','175','25'),
('789','2018-01-19','4','100','25','75'),
('987','2018-01-20','2','150','125','25'),
('321','2018-01-21','0','100','0','100'),
('654','2018-01-22','1','0','0','0'),
('123','2018-01-23','5','225','175','50'),
('321','2018-01-24','1','100','50','50'),
('789','2018-01-25','5','100','50','50'),
('987','2018-01-26','3','150','150','0'),
('456','2018-01-27','6','250','250','0'),
('456','2018-01-28','7','270','250','20'),
('321','2018-01-29','2','100','100','0'),
('123','2018-01-30','6','225','225','0'),
('987','2018-01-31','4','175','150','25')
;
GO
SELECT *
FROM [dbo].[Table1]
WHERE [Code] = '123'
GO;
USE [tempdb];
IF EXISTS ( SELECT *
FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_NAME = 'Table1'
AND TABLE_SCHEMA = 'dbo')
DROP TABLE [dbo].[Table1];
GO;
}
Just use lag():
select Evt, Date, Version,
(Loss - lag(Loss, 1, 0) over (partition by evt order by date)) as incoming,
(Rec - lag(Rec, 1, 0) over (partition by evt order by date)) as outgoing,
(Net - lag(Net, 1, 0) over (partition by evt order by date)) as net
from [dbo].[Table1];
I have 2 tables as
Result Master
+------+-------------+
| QnID | Description |
+------+-------------+
| 1 | Qn1 |
| 2 | Qn2 |
| 3 | Qn3 |
| 4 | Qn4 |
| 5 | Qn5 |
+------+-------------+
Result Details
+----+------+--------+--------+
| ID | QnID | TCDesc | Result |
+----+------+--------+--------+
| 1 | 1 | TC1 | PASS |
| 2 | 1 | TC2 | FAIL |
| 3 | 1 | TC3 | PASS |
| 4 | 2 | TC1 | PASS |
| 5 | 3 | TC1 | PASS |
| 6 | 3 | TC1 | PASS |
| 7 | 3 | TC3 | PASS |
+----+------+--------+--------+
I need a query which will return following result:
+----+------+--------+
| ID | QnID | Result |
+----+------+--------+
| 1 | 2 | PASS |
| 2 | 3 | PASS |
| 3 | 4 | ERROR |
| 4 | 5 | ERROR |
+----+------+--------+
Conditions:
each question will have different number of testcase "ResultDetails", I need to select questions for which all the test case get passsed (number of entries for a particular question must be same as number of test cases passed for the same) or Error (ResultDetail doesn't have an entry for a question).
Can anyone please help me with a query, thank you.
You can get the desired results using a common table expression and conditional aggregation.
First, create and populate sample tables (Please save us this step in your future questions):
DECLARE #ResultMaster AS TABLE
(
QnID int,
Description char(3)
);
INSERT INTO #ResultMaster (QnID, Description) VALUES
(1, 'Qn1'),
(2, 'Qn2'),
(3, 'Qn3'),
(4, 'Qn4'),
(5, 'Qn5');
DECLARE #ResultDetails AS TABLE
(
ID int,
QnID int,
TCDesc char(3),
Result char(4)
);
INSERT INTO #ResultDetails VALUES
(1, 1, 'TC1', 'PASS'),
(2, 1, 'TC2', 'FAIL'),
(3, 1, 'TC3', 'PASS'),
(4, 2, 'TC1', 'PASS'),
(5, 3, 'TC1', 'PASS'),
(6, 3, 'TC1', 'PASS'),
(7, 3, 'TC3', 'PASS');
Then, use a common table expression to calculate the number of pass details and a simple count to get the number of total details:
WITH CTE AS
(
SELECT M.QnId,
COUNT(CASE WHEN Result = 'PASS' THEN 1 END) As CountPass,
COUNT(Result) As CountDetails
FROM #ResultMaster As M
LEFT JOIN #ResultDetails As D ON M.QnId = D.QnId
GROUP BY M.QnId
)
Then, select from that cte:
SELECT ROW_NUMBER() OVER(ORDER BY QnId) AS Id,
QnId,
CASE WHEN CountDetails = 0 THEN
'ERROR'
ELSE
'PASS'
END
FROM CTE
WHERE CountPass = CountDetails
Results:
+----+------+--------+
| ID | QnID | Result |
+----+------+--------+
| 1 | 2 | PASS |
| 2 | 3 | PASS |
| 3 | 4 | ERROR |
| 4 | 5 | ERROR |
+----+------+--------+
You can see a live demo on rextester.
I need to achieve a view such as:
+------------+----------+--------------+----------------+------------------+
| Parent id | Expected | Parent Value | Distinct Value | Distinct Value 2 |
+------------+----------+--------------+----------------+------------------+
| 1 | 001.001 | 3 | 6/1/2017 | 5,000.00 |
| 1 | 001.002 | 3 | 9/1/2018 | 3,500.00 |
| 1 | 001.003 | 3 | 1/7/2018 | 9,000.00 |
| 2 | 002.001 | 7 | 9/1/2017 | 2,500.00 |
| 3 | 003.001 | 5 | 3/6/2017 | 1,200.00 |
| 3 | 003.002 | 5 | 16/8/2017 | 8,700.00 |
+------------+----------+--------------+----------------+------------------+
where I get distinct child objects that have same parents, but I cannot make the "Expected" column work. Those zeros don't really matter, I just need to get subindex like "1.1", "1.2" to work. I tried rank() function but it seems it doesnt really help.
Any help appreciated, thanks in advance.
My initial try looks like this:
SELECT DISTINCT
parent.parent_id,
rank() OVER ( order by parent_id ) as expected,
parent.parent_value,
ct.distinct_value,
ct.distinct_value_2
FROM parent
LEFT JOIN (crosstab (...) )
AS ct( ... )
ON ...
Use partition by parent_id in the window function and order by another_col to define the order in groups by parent_id.
with parent(parent_id, another_col) as (
values (1, 30), (1, 20), (1, 10), (2, 40), (3, 60), (3, 50)
)
select
parent_id,
another_col,
format('%s.%s', parent_id, row_number() over w) as expected
from parent
window w as (partition by parent_id order by another_col);
parent_id | another_col | expected
-----------+-------------+----------
1 | 10 | 1.1
1 | 20 | 1.2
1 | 30 | 1.3
2 | 40 | 2.1
3 | 50 | 3.1
3 | 60 | 3.2
(6 rows)
I'm attempting to combine multiple rows using a UNION but I need to pull in additional data as well. My thought was to use a UNION in the outer query but I can't seem to make it work. Or am I going about this all wrong?
The data I have is like this:
+------+------+-------+---------+---------+
| ID | Time | Total | Weekday | Weekend |
+------+------+-------+---------+---------+
| 1001 | AM | 5 | 5 | 0 |
| 1001 | AM | 2 | 0 | 2 |
| 1001 | AM | 4 | 1 | 3 |
| 1001 | AM | 5 | 3 | 2 |
| 1001 | PM | 5 | 3 | 2 |
| 1001 | PM | 5 | 5 | 0 |
| 1002 | PM | 4 | 2 | 2 |
| 1002 | PM | 3 | 3 | 0 |
| 1002 | PM | 1 | 0 | 1 |
+------+------+-------+---------+---------+
What I want to see is like this:
+------+---------+------+-------+
| ID | DayType | Time | Tasks |
+------+---------+------+-------+
| 1001 | Weekday | AM | 9 |
| 1001 | Weekend | AM | 7 |
| 1001 | Weekday | PM | 8 |
| 1001 | Weekend | PM | 2 |
| 1002 | Weekday | PM | 5 |
| 1002 | Weekend | PM | 3 |
+------+---------+------+-------+
The closest I've come so far is using UNION statement like the following:
SELECT * FROM
(
SELECT Weekday, 'Weekday' as 'DayType' FROM t1
UNION
SELECT Weekend, 'Weekend' as 'DayType' FROM t1
) AS X
Which results in something like the following:
+---------+---------+
| Weekday | DayType |
+---------+---------+
| 2 | Weekend |
| 0 | Weekday |
| 2 | Weekday |
| 0 | Weekend |
| 10 | Weekday |
+---------+---------+
I don't see any rhyme or reason as to what the numbers are under the 'Weekday' column, I suspect they're being grouped somehow. And of course there are several other columns missing, but since I can't put a large scope in the outer query with this as inner one, I can't figure out how to pull those in. Help is greatly appreciated.
It looks like you want to union all a pair of aggregation queries that use sum() and group by id, time, one for Weekday and one for Weekend:
select Id, DayType = 'Weekend', [time], Tasks=sum(Weekend)
from t
group by id, [time]
union all
select Id, DayType = 'Weekday', [time], Tasks=sum(Weekday)
from t
group by id, [time]
Try with this
select ID, 'Weekday' as DayType, Time, sum(Weekday)
from t1
group by ID, Time
union all
select ID, 'Weekend', Time, sum(Weekend)
from t1
group by ID, Time
order by order by 1, 3, 2
Not tested, but it should do the trick. It may require 2 proc sql steps for the calculation, one for summing and one for the case when statements. If you have extra lines, just use a max statement and group by ID, Time, type_day.
Proc sql; create table want as select ID, Time,
sum(weekday) as weekdayTask,
sum(weekend) as weekendTask,
case when calculated weekdaytask>0 then weekdaytask
when calculated weekendtask>0 then weekendtask else .
end as Task,
case when calculated weekdaytask>0 then "Weekday"
when calculated weekendtask>0 then "Weekend"
end as Day_Type
from have
group by ID, Time
;quit;
Proc sql; create table want2 as select ID, Time, Day_Type, Task
from want
;quit;