I have two tables both of which have a column named column_value which holds a number value. Now what i want is to sum the values of column_value in both the tables individually for each row and then update the same column (column_value) in the first table with the sum that i get for each row.
For example I have table A and table B, both of them have a column name AMOUNT.
Table A:
id AMOUNT
1 20
2 30
Table B:
id AMOUNT
1 10
2 25
First of all i want to get the following result
id AMOUNT AMOUNT TOTALAMOUNT
1 20 10 30
2 30 25 55
Now i would like to update each row of the A table with the TOTALAMOUNT against each id
so that after the Update the table A should look like
id AMOUNT
1 30
2 55
Selection :
SELECT A.ID,
NVL(A.AMOUNT,0) A_AMOUNT ,
NVL(B.AMOUNT,0) B_AMOUNT ,
NVL(A.AMOUNT,0) + NVL(B.AMOUNT,0) AS TOTAL_AMOUNT
FROM TABLEA A, TABLEB B
WHERE A.ID = B.ID
Update:
UPDATE TABLEA A
SET A.AMOUNT = (SELECT NVL(A.AMOUNT,0) + NVL(B.AMOUNT,0)
FROM TABLEB B
WHERE A.ID = B.ID)
You should have to use left join. For example:
Table_a
id val
1 10
2 20
Table_b
id val
1 20
2 30
update Table_a a left join Table_b b on a.id = b.id set a.val = (a.val+b.val);
After this operation:
Table_a
id val
1 30
2 50
Related
How to select the value from the table based on category_id?
I have a table like this. Please help me.
Table A
ID Name category_id
-------------------
1 A 1
2 A 1
3 B 1
4 C 2
5 C 2
6 D 2
7 E 3
8 E 3
9 F 3
How to get the below mentioned output from table A?
ID Name category_id
--------------------
1 A 1
2 A 1
4 C 2
5 C 2
7 E 3
8 E 3
Give a row number for each row based on group by category_id and sort by ascending order of ID. Then select the rows having row number 1 and 2.
Query
;with cte as (
select [rn] = row_number() over(
partition by [category_id]
order by [ID]
), *
from [your_table_name]
)
select [ID], [Name], [category_id]
from cte
where [rn] < 3;
Kindly run this query It really help You Out.
SELECT tbl.id,tbl.name, tbl.category_id FROM TableA as tbl WHERE
tbl.name IN(SELECT tbl2.name FROM TableA tbl2 GROUP BY tbl2.name HAVING Count(tbl2.name)> 1)
Code select all category_id from TableA which has Name entries more then one. If there is single entry of any name group by category_id then such data will be excluded. In above example questioner want to eliminate those records that have single Name entity like wise category_id 1 has name entries A and B among which A has two entries and B has single entry so he want to eliminate B from result set.
I have an SQL SELECT that left-joins several tables together, which results in an output with redundant data.
Example query:
SELECT
A.ID, B.ID
FROM A
LEFT JOIN B ON B.ParentID=A.ID
FETCH NEXT 4 ROWS ONLY
Example output:
A.ID B.ID
1 10
1 20
2 30
2 40
My problem is that I want to limit the number of rows from the A table, not from the actual output. In short, I would like to have an output like this when I ask for 4 rows:
A.ID B.ID
1 10
1 20
2 30
2 40
3 50
3 60
4 70
4 80
Any advice?
UPDATE:
Here is a fiddle that could help explaining the problem:
Fiddle
i have applied query on actual data, use sub query to get top 4 result.
declare #temp table
(aId int, bId int)
insert into #temp
values
(1,10),
(1,20),
(2,30),
(2,40),
(3,50),
(3,60),
(4,70),
(4,80),
(5,90),
(6,100)
select * from #temp
where aId in
(select distinct top 4 aId from #temp where aId > 1)
i have history table with many rows T1, i need information from 3 rows so i have new table T2, and i want copy this information from T1 to T2.
but i have duplicate data ,so how copy right ?
some duplicate rows i need and some not .only if on column D i have same data like rows before i don't need info from this row
example:
i have table looks like this -
T1:
Id B D
1 8 10
2 8 3
3 8 3
4 8 10
i need this rows only -
T2:
Id B D
1 8 10
2 8 3
4 8 10
Just compare with the previous row data, if match then do not include it by where condition
;WITH data AS
(
SELECT *, ROW_NUMBER() OVER (ORDER BY Id) AS Sequence FROM [Table]
)
SELECT Id, B, D
FROM data d
WHERE
NOT EXISTS
(
SELECT *
FROM data
WHERE Sequence + 1 = d.Sequence
AND B = d.B
AND D = d.D
)
insert into t2
select Id ,B ,D
(select * from t2
except
select d* from t1) t3
I am trying to update a lead table to assign a random person from a lookup table. Here is the generic schema:
TableA (header),
ID int,
name varchar (30)
TableB (detail),
ID int,
fkTableA int, (foreign key to TableA.ID)
recordOwner varchar(30) null
other detail colums..
TableC (owners),
ID int,
fkTableA int (foreign key to TableA.ID)
name varchar(30)
TableA has 10 entries, one for each type of sales lead pool. TableB has thousands of entries for each row in TableA. I want to assign the correct recordOwners from TableC to and even number of rows each (or as close as I can). TableC will have anywhere from one entry for each row in tableA or up to 10.
Can this be done in one statement? It doesn't have to be. I can't seem to figure out the best approach for speed. Any thoughts or samples are appreciated.
Updated:
TableA has a 1 to many relation ship with TableC. For every record of TableA, TableC will have at least one row, which represents an owner that will need to be assigned to a row in TableB.
TableA
int name
1 LeadSourceOne
2 LeadSourceTwo
TableC
int(id) int(fkTableA) varchar(name)
1 1 Tom
2 1 Bob
3 2 Timmy
4 2 John
5 2 Steve
6 2 Bill
TableB initial data
int(id) int(fkTableA) varchar(recordOwner) (other detail columns)
1 1 NULL ....
2 1 NULL ....
3 1 NULL ....
4 2 NULL ....
5 2 NULL ....
6 2 NULL ....
7 2 NULL ....
8 2 NULL ....
9 2 NULL ....
TableB end result
int(id) int(fkTableA) varchar(recordOwner) (other detail columns)
1 1 TOM ....
2 1 BOB ....
3 1 TOM ....
4 2 TIMMY ....
5 2 JOHN ....
6 2 STEVE ....
7 2 BILL ....
8 2 TIMMY ....
9 2 BILL ....
Basically I need to randomly assign a record from tableC to tableB based on the relationship to tableA.
UPDATE TabB SET name = (SELECT TOP 1 coalesce(tabC.name,'') FROM TabC INNER JOIN TabA ON TabC.idA = TabA.id WHERE tabA.Id = TabB.idA )
Should work but its not tested.
Try this:
UPDATE TableB
SET recordOwner = (SELECT TOP(1) [name]
FROM TableC
ORDER BY NEWID())
WHERE recordOwner IS NULL
I ended up looping thru and updating x percent of the detail records based on how many owners I had. The end result is something like this:
create table #tb_owners(userId varchar(30), processed bit)
insert into #tb_owners(
userId,
processed)
select userId = name,
processed = 0
from tableC
where fkTableA = 1
select #percentUpdate = cast(100 / count(*) as numeric(8,2))
from #tb_owners
while exists(select 1 from #tb_owners o where o.processed = 0)
begin
select top 1
#userFullName = o.name
from #tb_owners o
where o.processed = 0
order by newId()
update tableB
set recordOwner = #userFullName
from tableB ptbpd
inner join (
select top (#percentUpdate) percent
id
from tableB
where recordOwner is null
order by newId()
) nd on (ptbpd.id = nd.id)
update #tb_owners
set processed = 1
where userId = #oUserId
end
--there may be some left over, set to last person used
update tableB
set recordOwner = #userFullName
from tableB
where ptbpd.recordOwner is null
I am trying to Create a SQL View by joining two SQL tables and return only the lowest value from second table and all the rows from first table similar to left join.
My problem can be clearly explained with the below example.
Table1
Id Product Grade Term Bid Offer
100 ABC A Q1 10 20
101 ABC A Q1 5 25
102 XYZ A Q2 25 30
103 XYZ B Q2 20 30
Table2
Id Product Grade Term TradeValue
1 ABC A Q1 100
2 ABC A Q1 95
3 XYZ B Q2 100
In the above data I want to join Table1 and Table2 when ever the columns Product,Grade and Term from both the tables are equal and return all the rows from Table1 while joining the lowest Value of the column TradeValue from Table2 to the first record of the match and making TradeValue as NULL for other rows of the resultant View and the resultant View should have the Id of Table2 as LTID
So the resultant SQL View should be
RESULT
Id Product Grade Term Bid Offer TradeValue LTID
100 ABC A Q1 10 20 95 2
101 ABC A Q1 5 25 NULL 2
102 XYZ A Q2 25 30 NULL NULL
103 XYZ B Q2 20 30 100 3
I tried using the following query
CREATE VIEW [dbo].[ViewCC]
AS
SELECT
a.Id,a.Product,a.Grade,a.Term,a.Bid,a.Offer,
b.TradeValue
FROM Table1 AS a
left JOIN (SELECT Product,Grade,Term,MIN(TradeValue) TradeValue from Table2 Group by Product,Grade,Term,) AS b
ON b.Product=a.Product
and b.Grade=a.Grade
and b.Term=a.Term
GO
The above Query returned the following data which is apt to the query I wrote but that is not what I was trying to get
Id Product Grade Term Bid Offer TradeValue
100 ABC A Q1 10 20 95
101 ABC A Q1 5 25 95 --This should be null
102 XYZ A Q2 25 30 NULL
103 XYZ B Q2 20 30 100
As we can see minimum value of TradeValue being assigned to all matching rows in Table1 and also I was not able to return Id As LTID from Table2 as I have issues with group by clause as I cannot group it by b.Id as it returns too many rows.
May I know a better way to deal with this?
You need a row number attached to each record from Table1, so that the requirement of only joining the first record from each group of Table1 can be fulfilled:
CREATE VIEW [dbo].[ViewCC]
AS
SELECT a.Id, a.Product, a.Grade, a.Term, a.Bid, a.Offer,
b.TradeValue, b.Id AS LTID
FROM (
SELECT *, ROW_NUMBER() OVER(PARTITION BY Product, Grade, Term ORDER BY Id) AS rn
FROM Table1
) a
OUTER APPLY (
SELECT TOP 1 CASE WHEN rn = 1 THEN TradeValue
ELSE NULL
END AS TradeValue, Id
FROM Table2
WHERE Product=a.Product AND Grade=a.Grade AND Term=a.Term
ORDER BY TradeValue) b
GO
OUTER APPLY returns a table expression containing either the matching record from Table2 with the lowest TradeValue, or NULL if no matching record exists.