I have two tables:
T1:
ID Department ATTRIBUTES TEAM
--- ---------- ---------- ------
1 R&D Dress_Code NULL
2 R&D Dress_Code Web
3 R&D Food System
4 R&D Food NULL
5 R&D Color NULL
6 Marketing Food System
T2:
ID VAL
--- ----------
1 Smart
2 Casual
3 Beef
4 Chicken
5 Green
6 Fish
The purpose of T1 is to show all the department attributes.
If the TEAM is null, it is for everyone in that department. Sometimes a team has special settings which override the generic settings.
For example, I want to get the settings as a 'Web' team in R&D.
I can write:
SELECT T1.DEPARTMENT, T1.ATTRIBUTES, T1.TEAM, T2.VAL
FROM T1
LEFT JOIN T2 ON T1.ID = T2.ID
WHERE T1.DEPARTMENT = 'R&D' AND T1.TEAM = 'Web'
This will show one record which says dress code is casual.
But I want the result to be:
ATTRIBUTES VAL
---------- ------
Dress_Code Casual
Food Chicken
Color Green
Similarly for the 'System' team in R&D, the result would be smart dress code, beef, and green color.
I'm thinking first select all R&D results and then replace the rows with the above select results.
I need to write this as a stored procedure.
Any help is much appreciated!
Using CTE and row_number() :
with CTE as(
select
ATTRIBUTES,
VAL,
T1.TEAM,
row_number() over (partition by ATTRIBUTES order by team desc) rn
from t1 t1
inner join t2 t2 on t1.ID =t2.ID
AND ( T1.TEAM = 'Web' or T1.TEAM is null )
)
select
ATTRIBUTES ,
VAL
from cte where rn=1
order by val
OutPut :
SELECT
T1.DEPARTMENT,
T1.ATTRIBUTES,
T1.TEAM,
T2.VAL
INTO #temp
FROM T1
INNER JOIN T2 ON T1.ID = T2.ID
WHERE T1.TEAM is NULL
SELECT
T1.ATTRIBUTES,
T2.VAL
INTO #t2
FROM T1
INNER JOIN T2 ON T1.ID = T2.ID
WHERE T1.TEAM = 'Web'
UPDATE t
SET t.VAL=b.VAL
FROM #temp t
join #t2 b on b.ATTRIBUTES=t.ATTRIBUTES
SELECT
DEPARTMENT,
ATTRIBUTES,
TEAM,
VAL
FROM #temp
Even this too will help.
Related
I have two tables T1 and T2, both of them contain a column ID and value.
I need to join T1 and T2 into T3 by means of ID.
T3 should contain columns ID, T1Value, and T2Value.
The main requirement is, ID of T1 and T2 is possible not mapped
T1:
ID VALUE
-----------
1 hi
2 hello
T2:
ID VALUE
----------
2 kitty
3 dog
Then, T3 should be
ID T1VALUE T2VALUE
----------------------
1 hi
2 hello kitty
3 dog
Is it possible to achieve this without using pivot table, or temp table (ideally should be a single executable query)?
Thanks.
You can use FULL OUTER JOIN
SELECT ID = COALESCE(T1.ID, T2.ID),
T1VALUE = T1.VALUE,
T2VALUE = T2.VALUE
FROM T1
FULL OUTER JOIN T2
ON T1.ID = T2.ID
There are lots of example on FULL OUTER JOIN . just search for it
Another way is to use UNION ALL
SELECT T1.ID, T1VALUE = T1.VALUE, T2VALUE = NULL
FROM T1
UNION ALL
SELECT T2.ID, T1VALUE = NULL, T2VALUE = T2.VALUE
FROM T2
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
I'm fairly new to sql and have sunk a whole day into trying to figure out how to do the following. I have 3 tables that look something like this:
Table 1
customer_id department_id start_dts
1 2 2011-07-23 14:30:00
3 1 2011-07-24 10:15:00
3 1 2011-08-18 11:14:00
2 3 2012-05-04 05:45:00
1 3 2010-06-09 15:20:00
Table 2
department_id deparment_nm
1 a
2 b
3 c
Table 3
customer_id customer_nm
1 betty
2 fred
3 dino
I want to generate a list of the earliest encounter for each department and the associated customer name for the encounter such that it would look something like this (order of the dept doesn't matter):
department_nm customer_nm start_dts
a dino 2011-07-24 10:15:00
b betty 2011-07-23 14:30:00
c betty 2010-06-09 15:20:00
I first attempted to join table 2 on table 1 by department_id then inner joining table 3 on customer_id and using the min function for start_dts under the select statement, but that gives me each customers first encounter in each department. I then tried various iterations of nested joins and attempted to use an over/partition clause to get what I want, but I don't think I'm understanding that concept correctly. Any insight is very appreciated.
;with cte as (
select dept_nm, cust_nm, row_number() over (partition by t1.dept_id order by start_dts) rn, start_dts from table1 t1
left join table2 t2
on t1.dept_id = t2.dept_id
left join table3 t3
on t1.cust_id = t3.cust_id
) select * from cte where rn=1
Not sure i understood your requirement correctly.. but looks you are trying something like this...
Pretty sparse on actual details but something like this is what you are looking for. This has been asked and answered hundreds and hundreds of times.
select department_nm
, customer_nm
, start_dts
from
(
select department_nm
, customer_nm
, start_dts
, ROW_NUMBER() over(partition by t1.customer_id, t1.department_id order by t1.start_dts desc) as RowNum
from table1 t1
join table2 t2 on t2.department_id = t1.department_id
join table3 t3 on t3.customer_id = t1.customer_id
) x
where x.RowNum = 1
I feel like CTEs and Window functions are overkill for something like this. The following should work, if I understood correctly.
SELECT department_nm, customer_nm, MIN(start_dts) AS [start_dts]
FROM
(
SELECT department_nm, customer_nm, start_dts
FROM Table1 t1
JOIN Table2 t2 ON t1.department_id = t2.department_id
JOIN Table3 t3 ON t1.customer_id = t2.customer_id
) x
GROUP BY department_nm, customer_nm
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
)