I have joined two tables (tbl1 and tbl2). AnimalNo is present in both tables, but it is the primary key of tbl1 and can occur multiple times in tbl2 (if the AnimalNo is associated with multiple ConditionID)
tbl1
AnimalNo | KillDate
1 | 01/01/2019
2 | 01/01/2019
3 | 01/01/2019
4 | 01/01/2020
5 | 01/01/2020
tbl2
AnimalNo | ConditionID
1 | 1
1 | 2
2 | 1
3 | 1
3 | 2
4 | 1
5 | 1
5 | 2
I would like a table where I get a count of the AnimalID which had each condition and the count of the AnimalNo which had both ConditionID 1 & 2, in the above example:
Year | N_killed | Type1 | Type2 | Both
2019 | 3 | 3 | 2 | 2
2020 | 2 | 2 | 1 | 1
I have this query which is successful at telling me the number of AnimalNo with each individual ConditionID but I would like to add the last column called Both which has a count of the AnimalNo which have both ConditionID 1 & 2
SELECT
DATEPART(year, tbl1.KillDate) AS KillYear,
COUNT(Distinct tbl1.AnimalNo) AS N_Killed,
COUNT(CASE WHEN tbl2.ConditionId =1 THEN 1 END) AS Type1,
COUNT(CASE WHEN tbl2.ConditionId =2 THEN 1 END) AS Type2
FROM tbl1 LEFT JOIN
tbl2 ON tbl1.AnimalNo = tbl2.AnimalNo
WHERE YEAR(tbl1.KillDate) >=2012
GROUP BY DATEPART(year, KillDate)
ORDER BY DATEPART(year, KillDate)
I think this is that you want
SELECT
DATEPART(year, tbl1.KillDate) AS KillYear,
COUNT(Distinct tbl1.AnimalNo) AS N_Killed,
COUNT(CASE WHEN tbl2.ConditionId =9 THEN 1 END) AS Type1a,
COUNT(CASE WHEN tbl2.ConditionId =75 THEN 1 END) AS Type1b,
COUNT(CASE WHEN tbl2.ConditionId =23 THEN 1 END) AS Type2a,
COUNT(CASE WHEN tbl2.ConditionId =81 THEN 1 END) AS Type2b,
COUNT(CASE WHEN tbl2.ConditionId IN (9,75) OR tbl2.ConditionId IN (23,81) BothTypes
FROM tbl1 LEFT JOIN
tbl2 ON tbl1.AnimalNo = tbl2.AnimalNo
WHERE YEAR(tbl1.KillDate) >=2012
GROUP BY DATEPART(year, KillDate)
ORDER BY DATEPART(year, KillDate)
Try this:
declare #tbl1 table
(
AnimalNo int
,KillDate date
)
insert into #tbl1(AnimalNo, KillDate)
select 1, '2019-01-01' union
select 2, '2019-01-01' union
select 3, '2019-01-01' union
select 4, '2020-01-01' union
select 5, '2020-01-01'
declare #tbl2 table
(
AnimalNo int
,ConditionID int
)
insert into #tbl2(AnimalNo, ConditionID)
select 1,1 union
select 1,2 union
select 2,1 union
select 3,1 union
select 3,2 union
select 4,1 union
select 5,1 union
select 5,2
select
year(k.KillDate) as [Year]
,count(distinct k.AnimalNo) as N_Killed
,sum(c.Type1)
,sum(c.Type2)
,sum(case when c.Type1 = 1 and c.Type2 = 1 then 1 else 0 end) as Both
from
#tbl1 k
JOIN
(
select
c.AnimalNo
,max(case when c.ConditionID = 1 then 1 else 0 end) as Type1
,max(case when c.ConditionID = 2 then 1 else 0 end) as Type2
from
#tbl2 c
group by c.AnimalNo
) c
on k.AnimalNo = c.AnimalNo
group by year(k.KillDate)
I've got a problem in SQL Server.
"Whate'er is well conceived is clearly said, And the words to say it flow with ease", Nicolas Boileau-Despreaux
Well, I don't think I'll be able to make it clear but I'll try ! And I'd like to apologize for my bad english !
I've got this table :
id ind lvl result date
1 1 a 3 2017-01-31
2 1 a 3 2017-02-28
3 1 a 1 2017-03-31
4 1 a 1 2017-04-30
5 1 a 1 2017-05-31
6 1 b 1 2017-01-31
7 1 b 3 2017-02-28
8 1 b 3 2017-03-31
9 1 b 1 2017-04-30
10 1 b 1 2017-05-31
11 2 a 3 2017-01-31
12 2 a 1 2017-02-28
13 2 a 3 2017-03-31
14 2 a 1 2017-04-30
15 2 a 3 2017-05-31
I'd like to count the number of month the combo {ind, lvl} remain in the result 1 before re-initializing the number of month to 0 if the result is not 1.
Clearly, I need to get something like that :
id ind lvl result date BadResultRemainsFor%Months
1 1 a 3 2017-01-31 0
2 1 a 3 2017-02-28 0
3 1 a 1 2017-03-31 1
4 1 a 1 2017-04-30 2
5 1 a 1 2017-05-31 3
6 1 b 1 2017-01-31 1
7 1 b 3 2017-02-28 0
8 1 b 3 2017-03-31 0
9 1 b 1 2017-04-30 1
10 1 b 1 2017-05-31 2
11 2 a 3 2017-01-31 0
12 2 a 1 2017-02-28 1
13 2 a 3 2017-03-31 0
14 2 a 1 2017-04-30 1
15 2 a 3 2017-05-31 0
So that if I was looking for the number of months the result was 1 for the date 2017-05-31 with the id 1 and the lvl a, I know it's been 3 months.
Assume all the date the the end day of month:
;WITH tb(id,ind,lvl,result,date) AS(
select 1,1,'a',3,'2017-01-31' UNION
select 2,1,'a',3,'2017-02-28' UNION
select 3,1,'a',1,'2017-03-31' UNION
select 4,1,'a',1,'2017-04-30' UNION
select 5,1,'a',1,'2017-05-31' UNION
select 6,1,'b',1,'2017-01-31' UNION
select 7,1,'b',3,'2017-02-28' UNION
select 8,1,'b',3,'2017-03-31' UNION
select 9,1,'b',1,'2017-04-30' UNION
select 10,1,'b',1,'2017-05-31' UNION
select 11,2,'a',3,'2017-01-31' UNION
select 12,2,'a',1,'2017-02-28' UNION
select 13,2,'a',3,'2017-03-31' UNION
select 14,2,'a',1,'2017-04-30' UNION
select 15,2,'a',3,'2017-05-31'
)
SELECT t.id,t.ind,t.lvl,t.result,t.date
,CASE WHEN t.isMatched=1 THEN ROW_NUMBER()OVER(PARTITION BY t.ind,t.lvl,t.id-t.rn ORDER BY t.id) ELSE 0 END
FROM (
SELECT t1.*,c.MonthDiff,CASE WHEN c.MonthDiff=t1.result THEN 1 ELSE 0 END AS isMatched
,CASE WHEN c.MonthDiff=t1.result THEN ROW_NUMBER()OVER(PARTITION BY t1.ind,t1.lvl,CASE WHEN c.MonthDiff=t1.result THEN 1 ELSE 0 END ORDER BY t1.id) ELSE null END AS rn
FROM tb AS t1
LEFT JOIN tb AS t2 ON t1.ind=t2.ind AND t1.lvl=t2.lvl AND t2.id=t1.id-1
CROSS APPLY(VALUES(ISNULL(DATEDIFF(MONTH,t2.date,t1.date),1))) c(MonthDiff)
) AS t
ORDER BY t.id
id ind lvl result date
----------- ----------- ---- ----------- ---------- --------------------
1 1 a 3 2017-01-31 0
2 1 a 3 2017-02-28 0
3 1 a 1 2017-03-31 1
4 1 a 1 2017-04-30 2
5 1 a 1 2017-05-31 3
6 1 b 1 2017-01-31 1
7 1 b 3 2017-02-28 0
8 1 b 3 2017-03-31 0
9 1 b 1 2017-04-30 1
10 1 b 1 2017-05-31 2
11 2 a 3 2017-01-31 0
12 2 a 1 2017-02-28 1
13 2 a 3 2017-03-31 0
14 2 a 1 2017-04-30 1
15 2 a 3 2017-05-31 0
By slightly tweaking your input data and slightly tweaking how we define the requirement, it becomes quite simple to produce the expected results.
First, we tweak your date values so that the only thing that varies is the month and year - the days are all the same. I've chosen to do that my adding 1 day to each value1. The fact that this produces results which are one month advanced doesn't matter here, since all values are similarly transformed, and so the monthly relationships stay the same.
Then, we introduce a numbers table - here, I've assumed a small fixed table is adequate. If it doesn't fit your needs, you can easily locate examples online for creating a large fixed numbers table that you can use for this query.
And, finally, we recast the problem statement. Instead of trying to count months, we instead ask "what's the smallest number of months, greater of equal to zero, that I need to go back from the current row, to locate a row with a non-1 result?". And so, we produce this query:
declare #t table (id int not null,ind int not null,lvl varchar(13) not null,
result int not null,date date not null)
insert into #t(id,ind,lvl,result,date) values
(1 ,1,'a',3,'20170131'), (2 ,1,'a',3,'20170228'), (3 ,1,'a',1,'20170331'),
(4 ,1,'a',1,'20170430'), (5 ,1,'a',1,'20170531'), (6 ,1,'b',1,'20170131'),
(7 ,1,'b',3,'20170228'), (8 ,1,'b',3,'20170331'), (9 ,1,'b',1,'20170430'),
(10,1,'b',1,'20170531'), (11,2,'a',3,'20170131'), (12,2,'a',1,'20170228'),
(13,2,'a',3,'20170331'), (14,2,'a',1,'20170430'), (15,2,'a',3,'20170531')
;With Tweaked as (
select
*,
DATEADD(day,1,date) as dp1d
from
#t
), Numbers(n) as (
select 0 union all select 1 union all select 2 union all select 3 union all select 4
union all
select 5 union all select 6 union all select 7 union all select 8 union all select 9
)
select
id, ind, lvl, result, date,
COALESCE(
(select MIN(n) from Numbers n1
inner join Tweaked t2
on
t2.ind = t1.ind and
t2.lvl = t1.lvl and
t2.dp1d = DATEADD(month,-n,t1.dp1d)
where
t2.result != 1
),
1) as [BadResultRemainsFor%Months]
from
Tweaked t1
The COALESCE is just there to deal with the edge case, such as for your 1,b data, where there is no previous row with a non-1 result.
Results:
id ind lvl result date BadResultRemainsFor%Months
----------- ----------- ------------- ----------- ---------- --------------------------
1 1 a 3 2017-01-31 0
2 1 a 3 2017-02-28 0
3 1 a 1 2017-03-31 1
4 1 a 1 2017-04-30 2
5 1 a 1 2017-05-31 3
6 1 b 1 2017-01-31 1
7 1 b 3 2017-02-28 0
8 1 b 3 2017-03-31 0
9 1 b 1 2017-04-30 1
10 1 b 1 2017-05-31 2
11 2 a 3 2017-01-31 0
12 2 a 1 2017-02-28 1
13 2 a 3 2017-03-31 0
14 2 a 1 2017-04-30 1
15 2 a 3 2017-05-31 0
1An alternative way to perform the adjustment is to use a DATEADD/DATEDIFF pair to perform a "floor" operation against the dates:
DATEADD(month,DATEDIFF(month,0,date),0) as dp1d
Which resets all of the date values to be the first of their own month rather than the following month. This may fell more "natural" to you, or you may already have such values available in your original data.
Assuming the dates are continously increasing in month, you can use window function like so:
select
t.id, ind, lvl, result, dat,
case when result = 1 then row_number() over (partition by grp order by id) else 0 end x
from (
select t.*,
dense_rank() over (order by e, result) grp
from (
select
t.*,
row_number() over (order by id) - row_number() over (partition by ind, lvl, result order by id) e
from your_table t
order by id) t ) t;
I have a SQL View, similiar to the one below:
map_id | type_id | path
1 1 0
2 2 0
3 3 0
4 1 A>B
5 1 A>B>C
6 2 T>Z
7 2 T>Z>X
8 3 U
9 3 X>Y
10 1 D
And another table, tblRoles
role_group_id | type_id | map_id
1 1 1
2 1 4
I want to build a query that will include all map_id where role_group_id has the map_id = 1 and for the rest it should only get the corresponding map_id
So, the query result should look like:
role_group_id | type_id | map_id | path
1 1 4 A>B
1 1 5 A>B>C
1 1 10 D
1 1 1 0
2 1 4 A>B
Could someone point me to the correct way?
Thank you!
Haven't tested this yet, I hope this should work.
SELECT r.role_group_id
,r.type_id
,sv.map_id
,sv.path
FROM tblRoles r
LEFT JOIN sampleView sv ON r.type_id = sv.type_id
WHERE r.map_id = 1
UNION
SELECT r.role_group_id
,r.type_id
,r.map_id
,sv.path
FROM tblRoles r
INNER JOIN sampleView sv ON r.map_id = sv.map_id
WHERE r.map_id <> 1
You can use UNION
#rosuandreimihai: select all when map_id=1 and if map_id is different, select only the
corresponding row
DECLARE #CurrentMapId INT = 1
SELECT * FROM FirstTable
WHERE
TYPE_ID IN
(
SELECT r.type_id FROM tblRoles r
WHERE
map_id = #CurrentMapId
)
UNION
SELECT * FROM FirstTable
WHERE
map_id IN
(
SELECT r.map_id FROM tblRoles r
WHERE
#CurrentMapId = 1 OR
map_id = #CurrentMapId
)
I have a table Transaction & a table product as below .
Each Transaction has multiple products.
ProductId Name
1 ABC
2 DEF
3 GHI
Each transaction can have multiple products sold.
TransactionId ProductSoldInDept1 ProductSoldinDept2 ProductSoldinDept3
1 1 null null
2 1 2 null
3 3 1 null
4 2 3 1
I am planning to generate a report and I would like to get a result something like this :
This shows the number of products sold per each department grouped by Id
Expected Result :
ProductID Department1ProdCount Department2ProdCount Department3ProdCount
1 2 1 1
2 1 1 0
3 1 1 0
I could get till here , this is a query to get the counts for one specific product
which is productid : 1
I would like to know how I could use a group by here :
select Count(CASE WHEN ProductSoldInDept1 = 1 THEN 1 END) ,
Count(CASE WHEN ProductSoldInDept2 = 1 THEN 1 END) ,
Count(CASE WHEN ProductSoldInDept3 = 1 THEN 1 END)
from Table1
SELECT
p.ProductID,
Dept1ProdCount = COUNT(CASE WHEN t.ProductSoldInDept1 = p.ProductID THEN 1 END),
Dept2ProdCount = COUNT(CASE WHEN t.ProductSoldInDept2 = p.ProductID THEN 1 END),
Dept3ProdCount = COUNT(CASE WHEN t.ProductSoldInDept3 = p.ProductID THEN 1 END)
FROM dbo.Product AS p
LEFT OUTER JOIN dbo.[Transaction] AS t
ON p.ProductID IN
(t.ProductSoldInDept1, t.ProductSoldinDept2, t.ProductSoldinDept3)
GROUP BY p.ProductID;
Result
| PRODUCTID | DEPT1PRODCOUNT | DEPT2PRODCOUNT | DEPT3PRODCOUNT |
----------------------------------------------------------------
| 1 | 2 | 1 | 1 |
| 2 | 1 | 1 | 0 |
| 3 | 1 | 1 | 0 |
See a demo
Try this
select ProductID,
v.Department1ProdCount, v.Department2ProdCount, v.Department3ProdCount
from product a
cross apply
(
select Count(CASE WHEN ProductSoldInDept1 = a.ProductID THEN 1 END) Department1ProdCount,
Count(CASE WHEN ProductSoldInDept2 = a.ProductID THEN 1 END) Department2ProdCount,
Count(CASE WHEN ProductSoldInDept3 = a.ProductID THEN 1 END) Department3ProdCount
from Table1
) v
This:
TransactionId ProductSoldInDept1 ProductSoldinDept2 ProductSoldinDept3
1 1 null null
2 1 2 null
3 3 1 null
4 2 3 1
might be better structured as this:
transid prodsold deptid
1 1 1
2 1 1
2 2 2
3 3 1
3 1 2
4 2 1
4 3 2
4 1 3
I think that would make your queries easier to write.