I need to get the result of subtract values from these 3 different tables in SQL Server.
This is my SQL:
SELECT COUNT(A.Id)
FROM Table_A AS A WITH (NOLOCK)
WHERE A.City = 'NewYork'
SELECT COUNT(B.Id)
FROM Table_B AS B WITH (NOLOCK)
WHERE B.City = 'England'
SELECT COUNT(C.Id)
FROM Table_C AS C WITH (NOLOCK)
WHERE C.City = 'Berlin'
Let's say the result of the first query is 9, and the second one is 1, and the third one is 3.
I need to get (9-1-3 = 5). How can I do this?
You can do this with a CTE or with subqueries.
Using a CTE:
WITH tbla AS (
SELECT COUNT(A.Id) A
FROM Table_A AS A
WHERE A.City = 'NewYork'
),
tblb AS (
SELECT COUNT(B.Id) B
FROM Table_B AS B
WHERE B.City = 'England'
),
tblc AS (
SELECT COUNT(C.Id) C
FROM Table_C AS C
WHERE C.City = 'Berlin'
)
SELECT a.A - b.B - c.C
FROM tbla a
CROSS JOIN tblb b
CROSS JOIN tblc c;
Same thing only with subqueries
SELECT a.A - b.B - c.C
FROM (
SELECT COUNT(A.Id) A
FROM Table_A AS A
WHERE A.City = 'NewYork'
) a
CROSS JOIN (
SELECT COUNT(B.Id) B
FROM Table_B AS B
WHERE B.City = 'England'
) b
CROSS JOIN (
SELECT COUNT(C.Id) C
FROM Table_C AS C
WHERE C.City = 'Berlin'
) c;
Note: I removed the WITH (NOLOCK) hints because in all likelihood they are not needed in this case.
As all queries return a scalar value 8one row one column you can simply add or subtract them
SELECT
(SELECT
COUNT(A.Id)
FROM
Table_A AS A
WHERE
A.City = 'NewYork') - (SELECT
COUNT(B.Id)
FROM
Table_B AS B
WHERE
B.City = 'England') - (SELECT
COUNT(C.Id)
FROM
Table_C AS C
WHERE
C.City = 'Berlin') as Whatever
Related
I need to concatinate results from 2 tables without using UNION.
Ex : I have 4 tables a, b, c, d. see below snips:
Table a:
Table b:
Table c:
Table d:
I am concatinating a and d results using UNION ALL like below:
select a.id,a.seq,a.item,b.des,c.qty from a
left join b on a.item = b.item
left join c on a.id = c.id and a.seq = c.seq
UNION ALL
select d.id,d.seq,d.item,d.des,c.qty from d
join c on d.id = c.id and d.seq = c.seq
My output:
But I need same result without using UNION ALL.
Is it possible if so HOW?
You can apply Full Outer join instead of Union which has its similarities to Union
SELECT a.id,a.seq,a.item,b.des,c.qty
FROM a left join b on a.item = b.item
left join c on a.id = c.id and a.seq = c.seq
FULL OUTER JOIN
(
SELECT d.id,d.seq,d.item,d.des,c.qty
FROM d join c on d.id = c.id and d.seq = c.seq
)x ON a.id = x.id
You can replace union all with full join with a "false" condition and lots of COALESCE()s.
The logic looks like this:
SELECT COALESCE(abc.id, cd.id) as id,
COALESCE(abc.seq, cd.seq) as seq,
COALESCE(abc.item, cd.item) as item,
COALESCE(abc.des, cd.des) as eesc,
COALESCE(abc.qty, cd.qty) as qty
FROM (SELECT a.id, a.seq, a.item, b.des, c.qty
FROM a LEFT JOIN
b
ON a.item = b.item LEFT JOIN
c
ON a.id = c.id AND a.seq = c.seq
) abc FULL JOIN
(SELECT d.id, d.seq, d.item, d.des, c.qty
FROM d JOIN
c
ON d.id = c.id AND d.seq = c.seq
) dc
ON 1 = 0; -- never evaluates to true
There is a LEFT JOIN from table 'a' to table 'c' (on 'id' and 'seq' columns) in the upper query and INNER JOIN from table 'd' to table 'c' in the lower query. Therefore I think you could LEFT JOIN from table 'c' to table 'd' and it would produce the correct output.
select a.id,a.seq,a.item,b.des,c.qty
from a
left join b on a.item = b.item
left join c on a.id = c.id and a.seq = c.seq
left join d on c.id = d.id and c.seq = d.seq;
If you want you can use INSERT INTO a (tmp) table and get the same result in a table.
I need make a decision which table should be use in join statement depend on values in another table
I tried using CASE and COALESCE but can't achieve any success.
TableA has A and B and C and many other columns
TableB has ID and NAME columns
TableC has ID and NAME columns
My select statement is;
Select A.D, A.E, A.F From TableA A
If A.E = 1 then the following join should be used
left outer join TableB B ON A.B = B.ID
and B.NAME should be returned in the select statement
If A.E = 2 then the following join should be used
left outer join TableC C ON A.B = C.ID
and C.NAME should be returned in the select statement
Just add your conditions to the joins, and then use a case statement to pull the correct field to your result set e.g.
select A.D, A.E, A.F
, case when B.[Name] is not null then B.[Name] else C.[Name] end [Name]
from TableA A
left outer join TableB B ON A.B = B.ID and A.E = 1
left outer join TableC C ON A.B = C.ID and A.E = 2
Join tablea with the union of tableb with an extra column with value 1 and tablec with an extra column with value 2 and apply the conditions in the ON clause:
select
a.D, a.E, a.F, u.NAME
from tablea a
left join (
select *, 1 col from tableb
union all
select *, 2 col from tablec
) u on a.B = u.id and a.E = u.col
I've got two queries that return single result.
They look something like this
// query 1
SELECT A.id FROM tableA A
INNER JOIN tableB B
ON B.id = A.id
WHERE b.status = 'ACTIVE'
// query 2
SELECT C.id FROM tableC C
WHERE c.status = 'ACTIVE'
How to combine them and make return the pair of values instead of one value from different queries? I mean to get something like [A.id, C.id]
Currently I have to use two queries in the applications and I want to combine them into one.
I think like this will do
SELECT (SELECT A.id FROM tableA A
INNER JOIN tableB B
ON B.id = A.id
WHERE b.status = 'ACTIVE'
) as 'query1',
(
SELECT C.id FROM tableC C
WHERE c.status = 'ACTIVE'
) as 'query2'
As your question is not clear, so i assume that you either needids from mentioned queries in one row or in different rows, you can use union all/union (provided that datatypes are compatible or implicitly convertible and duplicates or allowed or not) as below.
Combining Result in different rows.
SELECT A.id
FROM tableA A
INNER JOIN tableB B
ON B.id = A.id
WHERE b.status = 'ACTIVE'
union all
SELECT C.id
FROM tableC C
WHERE c.status = 'ACTIVE'
Combining Result in Single Row.
select max(id1), max(id2)
from(
SELECT A.id as id1, NULL as id2
FROM tableA A
INNER JOIN tableB B
ON B.id = A.id
WHERE b.status = 'ACTIVE'
union all
SELECT NULL, C.id
FROM tableC C
WHERE c.status = 'ACTIVE'
) t;
SAMPLE DEMO
You can run following query which work fine for me:
select t1.id as aid ,t2.id as cid
from (
SELECT A.id
FROM tableA A
INNER JOIN tableB B ON B.id = A.id
WHERE b.status = 'ACTIVE'
) t1
full outer join (
SELECT C.id
FROM tableC C
WHERE c.status = 'ACTIVE'
) t2 on t1.id=t2.id
You can join your second query with your first query as follows, so that you will get two (A.id, C.id) values in one query...
SELECT A.ID,C.ID FROM
(SELECT A.ID FROM table_A A INNER JOIN
table_B B ON A.ID=B.ID WHERE B.STATUS='A')A
INNER JOIN table_c C
ON C.ID=A.ID WHERE C.STATUS='A';
Please find the below provided query which I'm able to implement in Netezza where in case there is no join on 'id' then it looks for the join on the basis of 'name'. if any of the criteria gets fulfilled then Left outer join is performed.
Select * from BigqueryTest.colors a
LEFT JOIN
BigqueryTest.color2 b
ON a.id = b.id
OR a.name = b.name ;
This functionality doesn't seem to be supported in Bigquery. I mean to say that I can provide multiple joining conditions with the help of 'AND' operator but can't use 'OR' operator which can allow me moving ahead with Join operation even if a single condition gets satisfied out of many. Any leads would be appreciated.
... is there any way around to make the code run with 'OR' condition? Because in actual scenario there are more than 100 columns ...
Below is another option - as a direction for you to explore.
#standardSQL
SELECT a.id AS aid, a.name AS aname, b.id AS bid, b.name AS bname
FROM (
SELECT
a, IF(matches = 0, STRUCT<id INT64, name STRING>(NULL, NULL), b) AS b
FROM (
SELECT
a, b,
(a.id = b.id OR a.name = b.name) AS match,
COUNTIF(a.id = b.id OR a.name = b.name)
OVER(PARTITION BY a.id, a.name) AS matches,
ROW_NUMBER() OVER(PARTITION BY a.id, a.name) AS dup
FROM `BigqueryTest.colors` AS a
CROSS JOIN `BigqueryTest.color2` AS b
)
WHERE match OR (matches = 0 AND dup = 1)
)
-- ORDER BY a.id
You can test/play with it using below dummy data
#standardSQL
WITH `BigqueryTest.colors` AS (
SELECT 1 AS id, 'a' AS name UNION ALL
SELECT 2 AS id, 'b' AS name UNION ALL
SELECT 3 AS id, 'c' AS name
),
`BigqueryTest.color2` AS (
SELECT 1 AS id, 'a' AS name UNION ALL
SELECT 11 AS id, 'a' AS name UNION ALL
SELECT 2 AS id, 'b' AS name UNION ALL
SELECT 2 AS id, 'x' AS name
)
SELECT a.id AS aid, a.name AS aname, b.id AS bid, b.name AS bname
FROM (
SELECT
a, IF(matches = 0, STRUCT<id INT64, name STRING>(NULL, NULL), b) AS b
FROM (
SELECT
a, b,
(a.id = b.id OR a.name = b.name) AS match,
COUNTIF(a.id = b.id OR a.name = b.name) OVER(PARTITION BY a.id, a.name) AS matches,
ROW_NUMBER() OVER(PARTITION BY a.id, a.name) AS dup
FROM `BigqueryTest.colors` AS a
CROSS JOIN `BigqueryTest.color2` AS b
)
WHERE match OR (matches = 0 AND dup = 1)
)
ORDER BY a.id
Below is for BigQuery Standard SQL
#standardSQL
SELECT
a.id AS aid, a.name AS aname,
b.id AS bid, b.name AS bname
FROM `BigqueryTest.colors` AS a
LEFT JOIN `BigqueryTest.color2` AS b
ON a.id = b.id
UNION DISTINCT
SELECT
a.id AS aid, a.name AS aname,
b.id AS bid, b.name AS bname
FROM `BigqueryTest.colors` AS a
LEFT JOIN `BigqueryTest.color2` AS b
ON a.name = b.name
I have table A, B and C
I want to return all entries in table A that do not exist in table B and of that list do not exist in table C.
select * from table_A as a
where not exists (select 1 from table_B as b
where a.id = b.id)
this gives me the first result of entries in A that are not in B. But now I want only those entries of this result that are also not in C.
I tried flavours of:
select * from table_A as a
where not exists (select 1 from table_B as b
where a.id = b.id)
AND
where not exists (select 1 from table_C as c
where a.id = c.id)
But that isnt the correct logic. If there is a way to store the results from the first query and then select * from that result that are not existent in table C. But I'm not sure how to do that. I appreciate the help.
Try this:
select * from (
select a.*, b.id as b_id, c.id as c_id
from table_A as a
left outer join table_B as b on a.id = b.id
left outer join table_C as c on c.id = a.id
) T
where b_id is null
and c_id is null
Another implementation is this:
select a1.*
from table_A as a1
inner join (
select a.id from table_A
except
select b.id from table_B
except
select c.id from table_c
) as a2 on a1.id = a2.id
Note the restrictions on the form of the sub-query as described here. The second implementation, by most succinctly and clearly describing the desired operation to SQL Server, is likely to be the most efficient.
You have two WHERE clauses in (the external part of) your second query. That is not valid SQL. If you remove it, it should work as expected:
select * from table_A as a
where not exists (select 1 from table_B as b
where a.id = b.id)
AND
not exists (select 1 from table_C as c -- WHERE removed
where a.id = c.id) ;
Tested in SQL-Fiddle (thnx #Alexander)
how about using LEFT JOIN
SELECT a.*
FROM TableA a
LEFT JOIN TableB b
ON a.ID = b.ID
LEFT JOIN TableC c
ON a.ID = c.ID
WHERE b.ID IS NULL AND
c.ID IS NULL
SQLFiddle Demo
One more option with NOT EXISTS operator
SELECT *
FROM dbo.test71 a
WHERE NOT EXISTS(
SELECT 1
FROM (SELECT b.ID
FROM dbo.test72 b
UNION ALL
SELECT c.ID
FROM dbo.test73 c) x
WHERE a.ID = x.ID
)
Demo on SQLFiddle
Option from #ypercube.Thank for the present;)
SELECT *
FROM dbo.test71 a
WHERE NOT EXISTS(
SELECT 1
FROM dbo.test72 b
WHERE a.ID = b.ID
UNION ALL
SELECT 1
FROM dbo.test73 c
WHERE a.ID = c.ID
);
Demo on SQLFiddle
I do not like "not exists" but if for some reason it seems to be more logical to you; then you can use a alias for your first query. Subsequently, you can re apply another "not exists" clause. Something like:
SELECT * FROM
( select * from tableA as a
where not exists (select 1 from tableB as b
where a.id = b.id) )
AS A_NOT_IN_B
WHERE NOT EXISTS (
SELECT 1 FROM tableC as c
WHERE c.id = A_NOT_IN_B.id
)