Can this be done with a single SQL Join? - sql

I am not sure if this can be done with a single JOIN, but I basically have two tables with an ID column in common. To make it simple I'll say Table A just contains an ID while Table B contains an ID and Code. There is a 1:M relationship between Table A and Table B, however it's also possible an ID from Table A is not contained in Table B at all. I was hoping to have a query return every ID that exists in Table B within a particular code range, or does not exist in Table B at all.
I tried using a LEFT JOIN with something like:
SELECT A.id FROM A LEFT JOIN B ON A.id = B.id AND b.code BETWEEN '000' AND '123'
But, this still gives me the IDs that exist in Table B outside of the code range.

Use a left join, and filter the result to contain the codes in the range, and also the lines where there is no matching record in table B:
select
A.id
from
A
left join B on B.id = A.id
where
B.code between '000' and '123' or B.id is null

What about
SELECT id FROM A LEFT JOIN B ON A.id = B.id
WHERE b.code IS NULL OR b.code BETWEEN ' ' AND '123'

Related

Trying to return a select statement which show records from two tables that match records from a third table

Here is the Exercise we were given to practice our SQL refresher
Get all rows from TableA. If a match is available in both TableB and TableC, include it. This means that if data is available in TableB or TableC, but not both, data from both willbe excluded and only TableA data will be show
This is currently my full syntax I am using at the current moment.
SELECT *
FROM dbo.TableA a
LEFT JOIN dbo.TableB b ON a.ID = b.ID
LEFT JOIN dbo.TableC c ON a.ID = b.ID AND b.ID = c.ID
WHERE a.ID <100;
go
And this is the corresponding output I am getting.
I am trying to change Column B record 2 into NULL as it does not match Column C. Is there anyway I can get something like this to work, if I try this in the syntax it throws an identifier can not be found.
LEFT JOIN dbo.TableB b
on a.ID = b.ID and TableC.ID = b.ID
Expecting
All From Table A
Rows from TableB that match TableA and TableC
Rows from TableC that match TableA and TableB
Figured out my logic was a bit wrong.
I decided to try and layout the tables differently to see if that works and it ended up getting to what I needed
select *
from dbo.TableB b
inner join dbo.TableC c
on b.ID = c.ID
right outer join dbo.TableA a
on b.ID = a.ID
where a.ID < 100;
go

SQL Get rows that doesn't appear in another table

I have this SQL problem: I have tables A and B. Table A has columns id and name, Table B amount and id which is a foreign key to table A.id.
I need to return all table A rows that don't have their id stored in table B. Any ideas?
So the complete opposite is:
SELECT *
FROM a
LEFT OUTER JOIN b ON a.id = b.id;
Here row what I need is left out of result
Just add a where clause:
SELECT a.*
FROM a LEFT OUTER JOIN
b
ON a.id = b.id
WHERE b.id IS NULL;
You can also use NOT EXISTS:
select a.*
from a
where not exists (select 1 from b where b.id = a.id);
In most databases, the two methods typically have similar performance.

Use a specific column from a result set of a SELECT in another SELECT statement in same SP

I have a SELECT statement which gives me a result set containing ID as a column name. I want to use the ID column in another select. Is there any possible way to do this
SELECT A.Id
,B.Product
,A.Name
,B.ProductCode
FROM Customers A
INNER JOIN Product B ON A.Id = B.Id
I want to use the resulting column A.Id in another Select
SELECT * FROM SELLER WHERE ID = 'A.ID'(How to get this A.ID??)
I need to use this logic inside a Stored Procedure where I have If else condition. So I am not able to use temporary table with same name here.
That's very simple. Just join another source table also to the procedure
SELECT A.Id
,S.*
,B.Product
,A.Name
,B.ProductCode
FROM Customers A
LEFT JOIN Product B ON A.Id = B.Id
LEFT JOIN SELLER S ON S.ID = A.ID

SQL Insert into table A from table B based off table C

I have an empty table that I would like to fill with rows from a second table, based off a third table, Ill call them A,B,C respectively.
Table C has ID numbers that match ID numbers for rows in Table B. For every ID in table C, I want to add the corresponding row from table B into Table A.
This is what I have, and I am getting an error saying that I cannot use the last statement.
INSERT INTO TABLEA
SELECT * FROM TABLEB
WHERE ID FROM TABLEB = ID FROM TABLEC;
DSNT408I SQLCODE = -199, ERROR: ILLEGAL USE OF KEYWORD FROM. TOKEN ( . AT
MICROSECONDS MICROSECOND SECONDS SECOND MINUTES MINUTE WAS EXPECTED
DSNT418I SQLSTATE = 42601 SQLSTATE RETURN CODE
Any help would be appreciated.
INSERT INTO TableA
SELECT B.*
FROM TableB AS B
JOIN TableC AS C ON B.ID = C.ID
Or possibly that will give you too many duplicates (if there are multiple rows in C that match a given row in B), in which case you might need:
INSERT INTO TableA
SELECT B.*
FROM TableB AS B
WHERE B.ID IN (SELECT C.ID FROM TableC AS C)
Or:
INSERT INTO TableA
SELECT DISTINCT B.*
FROM TableB AS B
JOIN TableC AS C ON B.ID = C.ID
Both of those give you one row in A for each row in B that matches one or more rows in C.
How would I add a WHEN clause to this? Let's say Table C has another column called VALUE, and I want to add all the ID numbers that have a value of 'x' or greater. How would I do that, I tried adding JOIN TableC AS C ON B.ID = C.ID AND C.VALUE > 5 but I still got all the values from TABLE C.
Working with the first query (fixing the others being left as an 'exercise for the reader'), then what I think you should be doing is just:
INSERT INTO TableA
SELECT B.*
FROM TableB AS B
JOIN TableC AS C ON B.ID = C.ID
WHERE C.Value > 5
The optimizer should translate that to an equivalent expression:
INSERT INTO TableA
SELECT B.*
FROM TableB AS B
JOIN TableC AS C ON B.ID = C.ID AND C.Value > 5
I'm not clear from your comment whether you somehow added a second reference to TableC in the one query, or you modified your query as shown in this second example. If you were not using LEFT JOIN anywhere, then adding the AND C.Value > 5 term to the ON clause or as a WHERE clause should have yielded the correct data.
When debugging this sort of problem, it is worth noting that this INSERT statement has a perfectly good SELECT statement in it that you can run on its own to review what is going to be added to TableA. You might want to augment the select-list to include (at least) C.ID and C.Value just to make sure nothing is going haywire.

Join and showing different columns from tables

I have a simple SQL question, I thought it would be quite straight forward but have got myself in a muddle. Any help would be appreciated
I have table A which contains a last updated
Table A has a one to many with Table B
Table B has a one to many with Table C
I want to show all rows of table C with the last updated time from table A. I have tried some joins but they dont seem to be quite working. Ideally I want somehting like
select a.lastUpdated c.* from TableA a, TableC c where
a.id in (select a_id from TableB where (select b_id from TableC where c_id = select
id from TableC where XXXX=YYYY))
so I can pass in an id for table C and then get one row returned with the last updated time present.
XXX=YYY would be my criteria for returning one row of table C.
Any help or pointers appreciated
Thanks
Something like
SELECT c.*
FROM TableA AS a
INNER JOIN TableB AS b
ON a.a_id = b.b_id
INNER JOIN TableC AS c
ON b.b_id = c.c_id
WHERE a.lastUpdated = c.lastUpdated;
Should work. This is a situation where a striaght INNER JOIN should suffice; unless of course I have missed something.
I hope this helps.
You should be able to do this by joining A and B together, aggregating the results at the c_id level, and then joining in C:
select tc.*, maxlastupdated
from tablec tc left outer join
(select tb.c_id, max(lastupdated) as maxlastupdated
from tablea ta join
tableb tb
on ta.b_id = tb.b_id
group by ta.id
) ta
on tc.c_id = ta.c_id
You need to drive your SQL query from Table C.
The query below displays the updated timestamp column from table A.
Since it is a one-to-many in the direction of tables A --> B --> C
You will inevitably end-up with a lot of rows in table C - all with the same timestamp.
SELECT c.*, a1.update_timestamp
FROM table_c c, table_b b, table_a a1
WHERE c.join_column = b.join_column
AND b.join_column = a1.join_column
AND a1.update_timestamp =
(SELECT max(a2.update_timestamp) FROM table_a a2
WHERE a2.<identifying columns> = a1.<identifying columns>
);