I have 2 tables in SQL Server 2008 and I want to get the details from those 2 tables using join.
T-1 : vwHardwareConsolidate
|ID|||Qty|Type|Task_Id|
T-2 :
|MasterID|Task_Id|Act_Qty|
I want to get id, task_name, sum(qty), task_id from T1 and Masterid, Act_Qty from T2
I have tried this query
select
ID as MasterID, Task_id, Task_Name as Items,
SUM(Qty) as Req_Qty, 0 as Act_Qty
from
vwHardwareConsolidate
where
type = 'Reqrd' and ID = '21'
Group by
Task_Name,id,Task_id
union
(select
m.MasterID, m.Task_Id, vw.Task_Name as Items, 0 as Req_Qty, m.Act_Qty
from
vwHardwareConsolidate vw
Right join
(select
MasterID, m.Task_Id, 0 as Req_Qty, sum(Act_qty) as Act_Qty
from
tbl_MaterialDistribution_Detail m
where
MasterID = '21'
group by
m.Task_Id, MasterID) as m on m.Task_Id = vw.Task_id)
vwHardwareConsolidate
ID Site_name Qty Task_Name Type
1 CITY 1 A16Port_Switch Reqrd
1 CITY 1 Digital_Camera Reqrd
1 CITY 1 Electronic_Pen Reqrd
tbl_MaterialDistribution_Detail:
MasterID|TaskId|Act_qty
7 31 1
2 32 1
12 39 3
Please try this
select t1.ID, t1.Task_Name,Sum(t1.Qty) as Qty,t1.Task_Id,t2.MasterID,t2.Act_Qty
from vwHardwareConsolidate as t1
left outer join table2 as t2
on t2.Task_ID=t1.Task_ID
Group By t1.ID, t1.Site_name, t1.Task_Name,t1.Qty,t1.Type,t1.Task_Id,t2.MasterID,t2.Act_Qty
May this will help you.
SQL Fiddle Demo
You can use
SELECT T1.Id, T1.SiteName,T1.TaskName,T.Type,T2.Act_Qty,T2.MasterID,T2.Task_Id,SUM(Qty)AS
Qty FROM T1 INNER JOIN T2 ON T1.Task_Id=T2=Task_Id GROUP BY T1.Id, T1.SiteName,
T1.TaskName,T.Type,T2.Act_Qty,T2.MasterID,T2.Task_Id
something this way,
select a.id,a.Task_Name,b.qty,c.Act_Qty from vwHardwareConsolidate a inner join
tbl_MaterialDistribution_Detail c on a.id=c.task_id
inner join
(slect id,sum(qty)qty from vwHardwareConsolidate group by id)b
on a.id=b.id
Related
This may have been answered previously, but I'm having a difficult time describing my issue.
Let's say I have two tables
Table1
User, CalendarID
Joe 1
Joe 2
Joe 3
Sam 4
Bob 1
Jim 2
Jim 3
Table2
CalendarID, CalendarTime
1 2014-08-18 00:00:00.000
2 2015-01-19 00:00:00.000
3 2015-08-24 00:00:00.000
4 2016-01-18 00:00:00.000
What I would like to do is Join the two tables, only getting a single User Name, and Calendar ID based on what is this highest CalendarTime associated with that CalandarID.
So I would like the query to return
User CalendarID
Joe 3
Sam 4
Bob 1
Jim 3
The closest I've managed is
SELECT t1.User, MAX(t2.CalendarTIme) AS CalendarTime
FROM table1 t1
INNER JOIN table2 as t2
ON t1.CalendarID = t2.CalendarID
Group By t1.User
Which gets me the User and CalendarTime that I want, but not the Calendar ID, which is what I really want. Please help.
Closest to your script and pretty straightforward:
SELECT t1.User, t2.*
FROM table1 t1
INNER JOIN table2 as t2
ON t1.CalendarID = t2.CalendarID
WHERE NOT EXISTS
(
SELECT 1 FROM table1 t1_2
INNER JOIN table2 t2_2
ON t2_2.Calendar_ID = t1_2.Calendar_ID
WHERE t1_2.User = t1.User
AND t2_2.CalendarTime > t2.CalendarTime
)
This can be solved for the top N per group:
using top with ties with row_number():
select top 1 with ties
t1.User, t1.CalendarId, t2.CalendarTime
from table1 t1
inner join table2 as t2
on t1.Calendarid = t2.Calendarid
order by row_number() over (partition by t1.User order by t2.CalendarTime desc)
or using common table expression(or a derived table/subquery) with row_number()
;with cte as (
select t1.User, t1.CalendarId, t2.CalendarTime
, rn = row_number() over (partition by t1.User order by t2.CalendarTime desc)
from table1 t1
inner join table2 as t2
on t1.Calendarid = t2.Calendarid
)
select User, CalendarId, CalendarTime
from cte
where rn = 1
How do I create an MSSQL query that joins TableA with TableB using the ID field, however I want it to join on ID record that has the highest value in the Number column?
TableA
ID
1
2
3
4
TableB
ID Number
1 1
1 2
1 3
2 1
3 1
3 2
4 1
4 2
4 3
I would want this as my output
TableJoined
ID Number
1 3
2 1
3 2
4 3
Is there a way to use a LEFT JOIN to achieve this or using max()?
Both. Use aggregation on the left join.
Select t1.id, max(t2.number)
From table1 t1
Left join table2 t2 on t1.id= t2.id
Group by t1.id;
You can query as below:
Select a.Id, Number from #a a join
(
Select top(1) with ties * from #b
order by row_number() over(partition by id order by number desc)
) b on a.id = b.id
Select A.Id, Max(Number) MaxNo from A
join B on A.Id=B.Id
Group by A.Id
create table #a(
id int
)
go
create table #b(
id int,
number int
)
go
insert into #a values(1),(2),(3),(4)
insert into #b values(1,1),(1,2),(1,3),(2,1),(3,1),(3,2),(4,1),(4,2),(4,3)
select #b.id,MAX(number) as maximum
from #b left outer join #a on #b.id=#a.id
group by #b.id
I have 2 tables
Table 1:
id name adress
1 John New York
2 Jane London`
... and so on
Table 2:
id fila date
1 43 01/01/2010
1 39 10/01/2011
1 55 23/12/2012
2 10 01/01/2008
2 15 02/02/2010`
.... and so on
I want to get data like this
id fila name adress date
-----------------------------------------
1 55 John New York 23/12/2012
2 15 Jane London 02/02/2010
..... and so on.
Thanks
ok. what you are really looking for is "What is the latest date in table2 for each of my rows in Table1". So to answer the question:
select *
From Table1
inner join (
select id, max(fila) as maxfila
from Table2
group by id
) as maxdates
on Table1.id = maxdates.id
inner join Table2 on Table2.id = maxdates.id AND Table2.fila = maxdates.maxfila
Try this:
;with cte as
(select id, max(fila) maxfila
from table2
group by id)
select t1.id, t1.name, t1.address, t2.fila, t2.date
from table1 t1
left join table2 t2 on t1.id = t2.id
inner join cte c on t1.id = c.id
where t2.fila = c.maxfila
Try this
Select t1.id, t1.name, t1.address, t2.maxfila
from table1 t1
left outer join
(select id, max(fila) maxfila
from table2
group by id) t2
select t1.id, t1.name t1.address, max(t2.fila),
(select top 1 date from table2 order by fila desc where table2.id = t1.id)
from table1 t1 inner join
table2 t2 on t1.id = t2.id
I have two tables with identical definition.
T1:
Name VARCHAR(50)
Qty INT
T2:
Name VARCHAR(50)
Qty INT
This is the data each table has:
T1:
Name Qty
a 1
b 2
c 3
d 4
T2:
Name Qty
a 1
b 3
e 5
f 10
I want to have result which can sum the Qty from both the tables based on Name.
Expected resultset:
Name TotalQty
a 2
b 5
c 3
d 4
e 5
f 10
If am do Left Join or Right Join, it is not going to return me the Name from either of the tables.
What i am thinking is to create a temp table and add these records and just do a SUM aggregate on Qty column but i think there should be a better way to do this.
This is how my query looks like which does not return the expected resultset:
SELECT t1.Name, ISNULL(SUM(t1.Qty + t2.Qty),0) TotalQty
FROM t1
LEFT JOIN t2
ON t1.Name = T2.Name
GROUP BY t1.Name
Can someone please tell me if creating a temp table is OK here or there is a better way to do this?
You can use a full outer join:
SELECT
ISNULL(t1.Name, t2.Name) AS Name,
ISNULL(t1.Qty, 0) + ISNULL(t2.Qty, 0) AS TotalQty
FROM t1
FULL JOIN t2 ON t1.Name = T2.Name
See it working online: sqlfiddle
You can use a UNION ALL to select both tables as one, since they have the same definition. From there, you can nest them as a derived table, and then SUM on that:
SELECT [Name], SUM(Qty) AS TotalQty
FROM (
SELECT [Name], Qty
FROM t1
UNION ALL
SELECT [Name], Qty
FROM t2
) YourDerivedTable
GROUP BY [Name]
This should be simple enough, but somehow my brain stopped working.
I have two related tables:
Table 1:
ID (PK), Value1
Table 2:
BatchID, Table1ID (FK to Table 1 ID), Value2
Example data:
Table 1:
ID Value1
1 A
2 B
Table 2:
BatchID Table1ID Value2
1 1 100
2 1 101
3 1 102
1 2 200
2 2 201
Now, for each record in Table 1, I'd like to do a matching record on Table 2, but only the most recent one (batch ID is sequential). Result for the above example would be:
Table1.ID Table1.Value1 Table2.Value2
1 A 102
2 B 201
The problem is simple, how to limit join result with Table2. There were similar questions on SO, but can't find anything like mine. Here's one on MySQL that looks similar:
LIMITing an SQL JOIN
I'm open to any approach, although speed is still the main priority since it will be a big dataset.
WITH Latest AS (
SELECT Table1ID
,MAX(BatchID) AS BatchID
FROM Table2
GROUP BY Table1ID
)
SELECT *
FROM Table1
INNER JOIN Latest
ON Latest.Table1ID = Table1.ID
INNER JOIN Table2
ON Table2.BatchID = Latest.BatchID
SELECT id, value1, value2
FROM (
SELECT t1.id, t2.value1, t2.value2, ROW_NUMBER() OVER (PARTITION BY t1.id ORDER BY t2.BatchID DESC) AS rn
FROM table1 t1
JOIN table2 t2
ON t2.table1id = t1.id
) q
WHERE rn = 1
Try
select t1.*,t2.Value2
from(
select Table1ID,max(Value2) as Value2
from [Table 2]
group by Table1ID) t2
join [Table 1] t1 on t2.Table1ID = t1.id
Either GROUP BY or WHERE clause that filters on the most recent:
SELECT * FROM Table1 a
INNER JOIN Table2 b ON (a.id = b.Table1ID)
WHERE NOT EXISTS(
SELECT 1 FROM Table2 c WHERE c.Table1ID = a.id AND c.BatchID > b. BatchID
)