How to make a filter with composite key - oracle10g

I want to make a filter in which it check if all department status =Y then return the emp_code of that record all department mean filter check value from 1-4 and also match the status=Y
dept_id and emp_code is composite key
I make this query but it not return desire result
select distinct(emp_code) from fsc_sts_dpt where dept_id in (1,2,3,4) and status= 'Y'
But the issue is dept_id 1,2 where emp_code=101010 is empty so in operator also consider 101010 but I want if any status with respect to dept_id is null it will not appear in the output.


check if all department status =Y then return the emp_code of that record all department mean filter check value from 1-4 and also match the status=Y
This will, firstly, find only those emp_codes where all the entries have a status of 'Y' (regardless of the dept_id) and will, secondly, check that those emp_codes have at least one dept_id with the values 1,2,3,4.
SELECT emp_code
FROM (
SELECT emp_code,
COUNT( CASE WHEN dept_id IN ( 1, 2, 3, 4 ) THEN 1 END ) AS num_depts
FROM fsc_sts_dpt
GROUP BY emp_code
HAVING COUNT( CASE WHEN status = 'Y' THEN NULL ELSE 1 END ) = 0
)
WHERE num_depts > 0
If you just want to check that the status is 'Y' for all dept_id IN (1,2,3,4) then you can simplify it to:
SELECT emp_code
FROM fsc_sts_dpt
WHERE dept_id IN ( 1, 2, 3, 4 )
GROUP BY emp_code
HAVING COUNT( CASE WHEN status = 'Y' THEN NULL ELSE 1 END ) = 0


I believe this is what you want...
SELECT emp_code
FROM fsc_sts_dpt
GROUP BY emp_code
HAVING count(*) = count (CASE WHEN status='Y' THEN 1 ELSE NULL END)


Try
select emp_code
from fsc_sts_dpt
where status = 'Y'
and dept_id in (1, 2, 3, 4)
group by emp_code
having count(*) = 4
As dept_id and emp_code is composite key there wont be two occurrence of same dept_id and emp_code, so count will be 4 means dept_id in (1, 2, 3, 4) and status = 'Y'.


Seems You want a simply select where status is = 'Y'
select distinct(emp_code) from fsc_sts_dpt where ifnull(status,'N') ='Y' ;
or
with your last comment
select distinct(emp_code) from fsc_sts_dpt
where dept_if not in (select distinct dept_id from
fsc_sts_dpt is null) ;

Related

SQL Server - Select with Group By together Raw_Number

I'm using SQL Server 2000 (80). So, it's not possible to use the LAG function.
I have a code a data set with four columns:
Purchase_Date
Facility_no
Seller_id
Sale_id
I need to identify missing Sale_ids. So every sale_id is a 100% sequential, so the should not be any gaps in order.
This code works for a specific date and store if specified. But i need to work on entire data set looping looping through every facility_id and every seller_id for ever purchase_date
declare #MAXCOUNT int
set #MAXCOUNT =
(
select MAX(Sale_Id)
from #table
where
Facility_no in (124) and
Purchase_date = '2/7/2020'
and Seller_id = 1
)
;WITH TRX_COUNT AS
(
SELECT 1 AS Number
union all
select Number + 1 from TRX_COUNT
where Number < #MAXCOUNT
)
select * from TRX_COUNT
where
Number NOT IN
(
select Sale_Id
from #table
where
Facility_no in (124)
and Purchase_Date = '2/7/2020'
and seller_id = 1
)
order by Number
OPTION (maxrecursion 0)
My Dataset

This column:
case when
Sale_Id=0 or 1=Sale_Id-LAG(Sale_Id) over (partition by Facility_no, Purchase_Date, Seller_id)
then 'OK' else 'Previous Missing' end
will tell you which Seller_Ids have some sale missing. If you want to go a step further and have exactly your desired output, then filter out and distinct the 'Previous Missing' ones, and join with a tally table on not exists.
Edit: OP mentions in comments they can't use LAG(). My suggestion, then, would be:
Make a temp table that that has the max(sale_id) group by facility/seller_id
Then you can get your missing results by this pseudocode query:
Select ...
from temptable t
inner join tally N on t.maxsale <=N.num
where not exists( select ... from sourcetable s where s.facility=t.facility and s.seller=t.seller and s.sale=N.num)
> because the only way to "construct" nonexisting combinations is to construct them all and just remove the existing ones.

This one worked out
; WITH cte_Rn AS (
SELECT *, ROW_NUMBER() OVER(PARTITION BY Facility_no, Purchase_Date, Seller_id ORDER BY Purchase_Date) AS [Rn_Num]
FROM (
SELECT
Facility_no,
Purchase_Date,
Seller_id,
Sale_id
FROM MyTable WITH (NOLOCK)
) a
)
, cte_Rn_0 as (
SELECT
Facility_no,
Purchase_Date,
Seller_id,
Sale_id,
-- [Rn_Num] AS 'Skipped Sale'
-- , case when Sale_id = 0 Then [Rn_Num] - 1 Else [Rn_Num] End AS 'Skipped Sale for 0'
, [Rn_Num] - 1 AS 'Skipped Sale for 0'
FROM cte_Rn a
)
SELECT
Facility_no,
Purchase_Date,
Seller_id,
Sale_id,
-- [Skipped Sale],
[Skipped Sale for 0]
FROM cte_Rn_0 a
WHERE NOT EXISTS
(
select * from cte_Rn_0 b
where b.Sale_id = a.[Skipped Sale for 0]
and a.Facility_no = b.Facility_no
and a.Purchase_Date = b.Purchase_Date
and a.Seller_id = b.Seller_id
)
--ORDER BY Purchase_Date ASC

GROUP BY for MAX and NULL

I want max startdate but there is a NULL data, it will be null.
Sample data is as follows:
DECLARE #Tbl TABLE (Id INT, StartDate DATETIME)
INSERT INTO #Tbl
VALUES (1, NULL),
(1, '2016.07.30'),
(1, '2016.07.05'),
(1, '2016.07.05'),
(2, '2016.07.07'),
(2, '2016.07.05'),
(3, '2016.07.05'),
(3, NULL)
My Query:
SELECT Id, MAX(StartDate) AS StartDate
FROM #Tbl
GROUP BY Id
Output:
Id StartDate
----------- ----------
1 2016-07-30
2 2016-07-07
3 2016-07-05
Desired Output:
Id StartDate
----------- ----------
1 NULL
2 2016-07-07
3 NULL

To solve this problem we can use a count function that behave different in two cases:
when we use count(*) then all rows are count (also with null value)
when we use count(someFieldName) then only rows with not null value are count
You can see this different behaviour on this example using sample data from the question
select Id, count(*) as count_all, count(StartDate) as count_StartDate
from #Tbl
group by Id;
On the output we can see this
Id count_all count_StartDate
1 4 3
2 2 2
3 2 1
We can use this different behaviour to solve problem from question by this query
select Id, case when count(*) = count(StartDate)
then max(StartDate)
else null
end as StartDate
from #Tbl
group by Id
On the output we can see the desired result
Id StartDate
1 NULL
2 2016-07-07 00:00:00.000
3 NULL

Found the result.
SELECT Id, CASE
WHEN MAX(COALESCE(StartDate, '2099.01.01')) = '2099.01.01' THEN NULL
ELSE MAX(StartDate) END AS StartDate
FROM #Tbl
GROUP BY Id

Check for equal amounts of negative numbers as positive numbers

I have a table with two columns: intGroupID, decAmount
I want to have a query that can basically return the intGroupID as a result if for every positive(+) decAmount, there is an equal and opposite negative(-) decAmount.
So a table of (id=1,amount=1.0),(1,2.0),(1,-1.0),(1,-2.0) would return back the intGroupID of 1, because for each positive number there exists a negative number to match.
What I know so far is that there must be an equal number of decAmounts (so I enforce a count(*) % 2 = 0) and the sum of all rows must = 0.0. However, some cases that get by that logic are:
ID | Amount
1 | 1.0
1 | -1.0
1 | 2.0
1 | -2.0
1 | 3.0
1 | 2.0
1 | -4.0
1 | -1.0
This has a sum of 0.0 and has an even number of rows, but there is not a 1-for-1 relationship of positives to negatives. I need a query that can basically tell me if there is a negative amount for each positive amount, without reusing any of the rows.
I tried counting the distinct absolute values of the numbers and enforcing that it is less than the count of all rows, but it's not catching everything.
The code I have so far:
DECLARE #tblTest TABLE(
intGroupID INT
,decAmount DECIMAL(19,2)
);
INSERT INTO #tblTest (intGroupID ,decAmount)
VALUES (1,-1.0),(1,1.0),(1,2.0),(1,-2.0),(1,3.0),(1,2.0),(1,-4.0),(1,-1.0);
DECLARE #intABSCount INT = 0
,#intFullCount INT = 0;
SELECT #intFullCount = COUNT(*) FROM #tblTest;
SELECT #intABSCount = COUNT(*) FROM (
SELECT DISTINCT ABS(decAmount) AS absCount FROM #tblTest GROUP BY ABS(decAmount)
) AS absCount
SELECT t1.intGroupID
FROM #tblTest AS t1
/* Make Sure Even Number Of Rows */
INNER JOIN
(SELECT COUNT(*) AS intCount FROM #tblTest
)
AS t2 ON t2.intCount % 2 = 0
/* Make Sure Sum = 0.0 */
INNER JOIN
(SELECT SUM(decAmount) AS decSum FROM #tblTest)
AS t3 ON decSum = 0.0
/* Make Sure Count of Absolute Values < Count of Values */
WHERE
#intABSCount < #intFullCount
GROUP BY t1.intGroupID
I think there is probably a better way to check this table, possibly by finding pairs and removing them from the table and seeing if there's anything left in the table once there are no more positive/negative matches, but I'd rather not have to use recursion/cursors.

Create TABLE #tblTest (
intA INT
,decA DECIMAL(19,2)
);
INSERT INTO #tblTest (intA,decA)
VALUES (1,-1.0),(1,1.0),(1,2.0),(1,-2.0),(1,3.0),(1,2.0),(1,-4.0),(1,-1.0), (5,-5.0),(5,5.0) ;
SELECT * FROM #tblTest;
SELECT
intA
, MIN(Result) as IsBalanced
FROM
(
SELECT intA, X,Result =
CASE
WHEN count(*)%2 = 0 THEN 1
ELSE 0
END
FROM
(
---- Start thinking here --- inside-out
SELECT
intA
, x =
CASE
WHEN decA < 0 THEN
-1 * decA
ELSE
decA
END
FROM #tblTest
) t1
Group by intA, X
)t2
GROUP BY intA

Not tested but I think you can get the idea
This returns the id that do not conform
The not is easier to test / debug
select pos.*, neg.*
from
( select id, amount, count(*) as ccount
from tbl
where amount > 0
group by id, amount ) pos
full outer join
( select id, amount, count(*) as ccount
from tbl
where amount < 0
group by id, amount ) neg
on pos.id = neg.id
and pos.amount = -neg.amount
and pos.ccount = neg.ccount
where pos.id is null
or neg.id is null
I think this will return a list of id that do conform
select distinct(id) from tbl
except
select distinct(isnull(pos.id, neg.id))
from
( select id, amount, count(*) as ccount
from tbl
where amount > 0
group by id, amount ) pos
full outer join
( select id, amount, count(*) as ccount
from tbl
where amount < 0
group by id, amount ) neg
on pos.id = neg.id
and pos.amount = -neg.amount
and pos.ccount = neg.ccount
where pos.id is null
or neg.id is null

Boy, I found a simpler way to do this than my previous answers. I hope all my crazy edits are saved for posterity.
This works by grouping all numbers for an id by their absolute value (1, -1 grouped by 1).
The sum of the group determines if there are an equal number of pairs. If it is 0 then it is equal, any other value for the sum means there is an imbalance.
The detection of evenness by the COUNT aggregate is only necessary to detect an even number of zeros. I assumed that 0's could exist and they should occur an even number of times. Remove it if this isn't a concern, as 0 will always pass the first test.
I rewrote the query a bunch of different ways to get the best execution plan. The final result below only has one big heap sort which was unavoidable given the lack of an index.
Query
WITH tt AS (
SELECT intGroupID,
CASE WHEN SUM(decAmount) > 0 OR COUNT(*) % 2 = 1 THEN 1 ELSE 0 END unequal
FROM #tblTest
GROUP BY intGroupID, ABS(decAmount)
)
SELECT tt.intGroupID,
CASE WHEN SUM(unequal) != 0 THEN 'not equal' ELSE 'equals' END [pair]
FROM tt
GROUP BY intGroupID;
Tested Values
(1,-1.0),(1,1.0),(1,2),(1,-2), -- should work
(2,-1.0),(2,1.0),(2,2),(2,2), -- fail, two positive twos
(3,1.0),(3,1.0),(3,-1.0), -- fail two 1's , one -1
(4,1),(4,2),(4,-.5),(4,-2.5), -- fail: adds up the same sum, but different values
(5,1),(5,-1),(5,0),(5,0), -- work, test zeros
(6,1),(6,-1),(6,0), -- fail, test zeros
(7,1),(7,-1),(7,-1),(7,1),(7,1) -- fail, 3 x 1
Results
A pairs
_ _____
1 equal
2 not equal
3 not equal
4 not equal
5 equal
6 not equal
7 not equal

The following should return "disbalanced" groups:
;with pos as (
select intGroupID, ABS(decAmount) m
from TableName
where decAmount > 0
), neg as (
select intGroupID, ABS(decAmount) m
from TableName
where decAmount < 0
)
select distinct IsNull(p.intGroupID, n.intGroupID) as intGroupID
from pos p
full join neg n on n.id = p.id and abs(n.m - p.m) < 1e-8
where p.m is NULL or n.m is NULL
to get unpaired elements, select satement can be changed to following:
select IsNull(p.intGroupID, n.intGroupID) as intGroupID, IsNull(p.m, -n.m) as decAmount
from pos p
full join neg n on n.id = p.id and abs(n.m - p.m) < 1e-8
where p.m is NULL or n.m is NULL

Does this help?
-- Expected result - group 1 and 3
declare #matches table (groupid int, value decimal(5,2))
insert into #matches select 1, 1.0
insert into #matches select 1, -1.0
insert into #matches select 2, 2.0
insert into #matches select 2, -2.0
insert into #matches select 2, -2.0
insert into #matches select 3, 3.0
insert into #matches select 3, 3.5
insert into #matches select 3, -3.0
insert into #matches select 3, -3.5
insert into #matches select 4, 4.0
insert into #matches select 4, 4.0
insert into #matches select 4, -4.0
-- Get groups where we have matching positive/negatives, with the same number of each
select mat.groupid, min(case when pos.PositiveCount = neg.NegativeCount then 1 else 0 end) as 'Match'
from #matches mat
LEFT JOIN (select groupid, SUM(1) as 'PositiveCount', Value
from #matches where value > 0 group by groupid, value) pos
on pos.groupid = mat.groupid and pos.value = ABS(mat.value)
LEFT JOIN (select groupid, SUM(1) as 'NegativeCount', Value
from #matches where value < 0 group by groupid, value) neg
on neg.groupid = mat.groupid and neg.value = case when mat.value < 0 then mat.value else mat.value * -1 end
group by mat.groupid
-- If at least one pair within a group don't match, reject
having min(case when pos.PositiveCount = neg.NegativeCount then 1 else 0 end) = 1

You can compare your values this way:
declare #t table(id int, amount decimal(4,1))
insert #t values(1,1.0),(1,-1.0),(1,2.0),(1,-2.0),(1,3.0),(1,2.0),(1,-4.0),(1,-1.0),(2,-1.0),(2,1.0)
;with a as
(
select count(*) cnt, id, amount
from #t
group by id, amount
)
select id from #t
except
select b.id from a
full join a b
on a.cnt = b.cnt and a.amount = -b.amount
where a.id is null
For some reason i can't write comments, however Daniels comment is not correct, and my solution does accept (6,1),(6,-1),(6,0) which can be correct. 0 is not specified in the question and since it is a 0 value it can be handled eather way. My answer does NOT accept (3,1.0),(3,1.0),(3,-1.0)
To Blam: No I am not missing
or b.id is null
My solution is like yours, but not exactly identical

SQL Running Subtraction

Just a brief of business scenario is table has been created for a good receipt. So here we have good expected line with PurchaseOrder(PO) in first few line. And then we receive each expected line physically and that time these quantity may be different, due to business case like quantity may damage and short quantity like that. So we maintain a status for that eg: OK, Damage, also we have to calculate short quantity based on total of expected quantity of each item and total of received line.
if object_id('DEV..Temp','U') is not null
drop table Temp
CREATE TABLE Temp
(
ID INT IDENTITY(1,1) PRIMARY KEY CLUSTERED,
Item VARCHAR(32),
PO VARCHAR(32) NULL,
ExpectedQty INT NULL,
ReceivedQty INT NULL,
[STATUS] VARCHAR(32) NULL,
BoxName VARCHAR(32) NULL
)
Please see first few line with PO data will be the expected lines,
and then rest line will be received line
INSERT INTO TEMP (Item,PO,ExpectedQty,ReceivedQty,[STATUS],BoxName)
SELECT 'ITEM01','PO-01','30',NULL,NULL,NULL UNION ALL
SELECT 'ITEM01','PO-02','20',NULL,NULL,NULL UNION ALL
SELECT 'ITEM02','PO-01','40',NULL,NULL,NULL UNION ALL
SELECT 'ITEM03','PO-01','50',NULL,NULL,NULL UNION ALL
SELECT 'ITEM03','PO-02','30',NULL,NULL,NULL UNION ALL
SELECT 'ITEM03','PO-03','20',NULL,NULL,NULL UNION ALL
SELECT 'ITEM04','PO-01','30',NULL,NULL,NULL UNION ALL
SELECT 'ITEM01',NULL,NULL,'20','OK','box01' UNION ALL
SELECT 'ITEM01',NULL,NULL,'25','OK','box02' UNION ALL
SELECT 'ITEM01',NULL,NULL,'5','DAMAGE','box03' UNION ALL
SELECT 'ITEM02',NULL,NULL,'38','OK','box04' UNION ALL
SELECT 'ITEM02',NULL,NULL,'2','DAMAGE','box05' UNION ALL
SELECT 'ITEM03',NULL,NULL,'30','OK','box06' UNION ALL
SELECT 'ITEM03',NULL,NULL,'30','OK','box07' UNION ALL
SELECT 'ITEM03',NULL,NULL,'30','OK','box08' UNION ALL
SELECT 'ITEM03',NULL,NULL,'10','DAMAGE','box09' UNION ALL
SELECT 'ITEM04',NULL,NULL,'25','OK','box10'
Below Table is my expected result based on above data.
I need to show those data following way.
So I appreciate if you can give me an appropriate query for it.
Note: first row is blank and it is actually my table header. :)
SELECT '' as 'ITEM', '' as 'PO#', '' as 'ExpectedQty',
'' as 'ReceivedQty','' as 'DamageQty' ,'' as 'ShortQty' UNION ALL
SELECT 'ITEM01','PO-01','30','30','0' ,'0' UNION ALL
SELECT 'ITEM01','PO-02','20','15','5' ,'0' UNION ALL
SELECT 'ITEM02','PO-01','40','38','2' ,'0' UNION ALL
SELECT 'ITEM03','PO-01','50','50','0' ,'0' UNION ALL
SELECT 'ITEM03','PO-02','30','30','0' ,'0' UNION ALL
SELECT 'ITEM03','PO-03','20','10','10','0' UNION ALL
SELECT 'ITEM04','PO-01','30','25','0' ,'5'
Note : we don't received more than expected.
solution should be based on SQL 2000

You should reconsider how you store this data. Separate Expected and Received+Damaged in different tables (you have many unused (null) cells). This way any query should become more readable.
I think what you try to do can be achieved more easily with a stored procedure.
Anyway, try this query:
SELECT Item, PO, ExpectedQty,
CASE WHEN [rec-consumed] > 0 THEN ExpectedQty
ELSE CASE WHEN [rec-consumed] + ExpectedQty > 0
THEN [rec-consumed] + ExpectedQty
ELSE 0
END
END ReceivedQty,
CASE WHEN [rec-consumed] < 0
THEN CASE WHEN DamageQty >= -1*[rec-consumed]
THEN -1*[rec-consumed]
ELSE DamageQty
END
ELSE 0
END DamageQty,
CASE WHEN [rec_damage-consumed] < 0
THEN DamageQty - [rec-consumed]
ELSE 0
END ShortQty
FROM (
select t1.Item,
t1.PO,
t1.ExpectedQty,
st.sum_ReceivedQty_OK
- (sum(COALESCE(t2.ExpectedQty,0))
+t1.ExpectedQty)
[rec-consumed],
st.sum_ReceivedQty_OK + st.sum_ReceivedQty_DAMAGE
- (sum(COALESCE(t2.ExpectedQty,0))
+t1.ExpectedQty)
[rec_damage-consumed],
st.sum_ReceivedQty_DAMAGE DamageQty
from #tt t1
left join #tt t2 on t1.Item = t2.Item
and t1.PO > t2.PO
and t2.PO is not null
join (select Item
, sum(CASE WHEN status = 'OK' THEN ReceivedQty ELSE 0 END)
sum_ReceivedQty_OK
, sum(CASE WHEN status != 'OK' THEN ReceivedQty ELSE 0 END)
sum_ReceivedQty_DAMAGE
from #tt where PO is null
group by Item) st on t1.Item = st.Item
where t1.PO is not null
group by t1.Item, t1.PO, t1.ExpectedQty,
st.sum_ReceivedQty_OK,
st.sum_ReceivedQty_DAMAGE
) a
order by Item, PO

T-SQL group by partition

I have below table in SQL server 2008.Please help to get expected output
Thanks.
CREATE TABLE [dbo].[Test]([Category] [varchar](10) NULL,[Value] [int] NULL,
[Weightage] [int] NULL,[Rn] [smallint] NULL ) ON [PRIMARY]
insert into Test values ('Cat1',310,674,1),('Cat1',783,318,2),('Cat1',310,96,3),('Cat1',109,917,4),('Cat2',441,397,1),('Cat2',637,725,2),('Cat2',460,742,3),('Cat2',542,583,4),('Cat2',601,162,5),('Cat2',45,719,6),('Cat2',46,305,7),('Cat3',477,286,1),('Cat3',702,484,2),('Cat3',797,836,3),('Cat3',541,890,4),('Cat3',750,962,5),('Cat3',254,407,6),('Cat3',136,585,7),('Cat3',198,477,8),('Cat4',375,198,1),('Cat4',528,351,2),('Cat4',845,380,3),('Cat4',716,131,4),('Cat4',781,919,5)

For per category Average Weightage
SELECT
Category,
AVG(Value),
SUM(CASE WHEN RN<4 THEN Weightage ELSE 0 END) / (NULLIF(SUM(CASE WHEN RN<4 THEN 1 ELSE 0 END), 0))
FROM
MyTable
GROUP BY
Category
Average Weightage over the whole set
SELECT
M.Category,
AVG(Value),
foo.AvgWeightage
FROM
MyTable M
CROSS JOIN
(SELECT AVG(Weightage) As AvgWeightage FROM MyTable WHERE Rn < 4) foo
GROUP BY
M.Category, foo.AvgWeightage

Simple:)
SELECT Category,
AVG(Value) AS AvgValue,
AVG(CASE WHEN RN< 4 THEN (Weightage) END ) AS AvgWeightage
FROM Test
GROUP BY Category

Try this
SELECT AvgValue.Category, AvgValue.AvgValue, AvgWeight.Weight
FROM(
(SELECT c.Category,
AVG(c.Value) AS AvgValue
FROM Test c
GROUP BY Category) AvgValue
INNER JOIN
(SELECT Category, AVG(Weightage) AS Weight
FROM Test
WHERE Rn < 4
GROUP BY Category) AvgWeight
ON AvgValue.Category = AvgWeight.Category)