I'm not that into MySQL joins, so maybe you could give me a hand. I've got the following tables:
Table a
Fields ID,name
Table b
Fields aID,cID,ID,found
Table c
Fields ID,name
The result I want to get is the following: I want all the records where b.found = 1. Of these records I don't want a.id or a.name, but I want the number of records that would have been returned if I would have wanted so. So if there are five records that have b.found = 1 and c.id = (for example) 3, then I want a returned value of 5, c.id and c.name.
Someone is able to do this?
Actually this is what I want to get from the database:
A list of all records in table C and a count of records in table B that has found = 1 and b.c_id = c.id
Table: a
Fields: ID, name
Table: b
Fields: aID, cID, found
Table: c
Fields: ID, name
SELECT c.ID, c.name, COUNT(1)
FROM b
JOIN c ON c.ID = b.cID AND b.found=1
GROUP BY c.ID
SELECT c.id, c.name, COUNT(*)
FROM c
INNER JOIN b
ON c.id = b.c_id
AND b.found = 1
GROUP BY c.id, c.name
SELECT COUNT(*), c.id, c.name
FROM a, b, c
WHERE a.id = b.a.id AND c.id = b.a.id AND b.found = 1 AND c.id = idThatIAmSearchingFor
Apologies if I didn't get the syntax exact, but I believe that's the basic structure you want. The COUNT function returns the number of rows found by the query.
Something like:
SELECT count(`c`.*),
`c`.`id`,
`c`.`name`
FROM `b`
JOIN `c`
ON `c`.`id` = `b`.`c_id`
WHERE `b.found` = 1
I think this would provide the required output -
select count(*), b.cID, c.name from b
inner join c on c.id=b.cID and b.found=1
group by b.cID
SELECT COUNT(*) AS Count, c.id, c.name
FROM b join a on a.id = b.a_id
WHERE b.found = 1
GROUP BY c.Id;
COUNT returns count of records in each group from GROUP BY.
Related
I have three tables A,B,C.Their relation is A.id is B's foreign key and B.id is C's foreign key.I need to sum the value when B.id = C.id and A.id = B.id ,I can count the number by query twice. But now I need some way to count the summation just once time !
My inefficient solution
select count(C.id) from C,B where C.id = B.id; //return the value X
select count(A.id) from C,B where A.id = B.id; //return the value Y
select X + Y; // count the summation fo X and Y
How can I optimize ? Thks! :)
PS：
My question is from GalaXQL,which is a SQL interactive tutorial.I have abstract the problem,more detail you can check the section 17.SELECT...GROUP BY... Having...
You can do these things in one query. For instance, something like this:
select (select count(*) from C join B on C.id = B.id) +
(select count(*) from C join A on C.id = A.id)
(Your second query will not parse because A is not a recognized table alias.)
In any case, if you are learning SQL, the first thing you should learn is modern join syntax. The implicit joins that you are using were out of date 15 years ago and have been part of the ANSI standard for over 20 years. Learn proper join syntax.
Try Like This
select sum(cid) (
select count(*) as cid from C join B on C.id = B.id
union all
select count(*) as cid from A join B on A.id = B.id ) as tt
try this one:
select
(select count(*) from C join B on C.id = B.id)
union
(select count(*) from C join A on C.id = A.id)
I need to get the id and timestamps of table sellers and all other columns (without knowing the column names) from these results returned from this MySql statement:
SELECT * FROM sellers a
LEFT JOIN users b ON a.user_id = b.id
LEFT JOIN country_types c ON a.country_type_id = c.id
LEFT JOIN language_types d ON a.language_type_id = d.id
WHERE a.email=?
The seller id though is incorrectly set because users, country_types, and language_types all have a value id. How can I set seller_id and seller_timestamp? I tried this but it is incorrect:
SELECT a.id seller_id, a.timestamp seller_timestamp, * FROM sellers a ...
You want this:
SELECT a.id as seller_id, a.timestamp as seller_timestamp, a.*, b.*, c.*, d.*
FROM sellers a
LEFT JOIN users b ON a.user_id = b.id
LEFT JOIN country_types c ON a.country_type_id = c.id
LEFT JOIN language_types d ON a.language_type_id = d.id
WHERE a.email=?
Im not sure but try alias, for example:
a.id AS seller_id
and etc.
In joins you can't select other columns in this way:
SELECT a.id seller_id, a.timestamp seller_timestamp, * FROM sellers a...
You need to write required column names.
I have 5 tables: a, b, c, d and e.
Each table is joined by an INNER JOIN on the id field.
My query is working perfectly fine as it is but I need to enhance it to count the result so I can echo it to the screen. I have not been able to get the count working.
There are very specific fields I am querying:
state_nm
status
loc_type
These are all parameters I enter manually into the query like so:
$_POST["state_nm"] = 'AZ'; ... // and for all other below values..
SELECT *
FROM main_table AS a
INNER JOIN table_1 AS b ON a.id = b.id
INNER JOIN table_2 AS c ON b.id = c.id
INNER JOIN blm table_3 AS d ON c.id = d.id
INNER JOIN table_4 AS e ON d.id = e.id
WHERE a.trq != ''
AND b.state_nm = '".$_POST["state_nm"]."'
AND b.loc_type LIKE \ "%".$_ POST ["loc_type"]."%\"
AND b.STATUS = '".$_POST["status"]."'
GROUP BY b.NAME
ORDER BY c.county ASC;
not sure I get exactly what is your goal here.
anyway, using "select *" and group by in the same query is not recommended and in some databases will raise an error
what I would do is something like that:
select a.name, count(*) from (
SELECT * FROM main_table as a
INNER JOIN table_1 as b
ON a.id=b.id
INNER JOIN table_2 as c
ON b.id=c.id
INNER JOIN blm table_3 as d
ON c.id=d.id
INNER JOIN table_4 as e
ON d.id=e.id
WHERE a.trq != ''
AND b.state_nm = '".$_POST["state_nm"]."'
AND b.loc_type LIKE \"%".$_POST["loc_type"]."%\"
AND b.status = '".$_POST["status"]."'
)a
group by a.name
the basic idea is to add an outer query and use group by on it...
hopefully this solves your problem.
In place of
SELECT *
in your query, you could replace that with
SELECT COUNT(*)
That query should return the number of rows that would be in the resultset for the query using SELECT *. Pretty easy to test, and compare the results.
I think that answers the question you asked. If not, I didn't understand your question.
I didn't notice the GROUP BY in your query.
If you want to get a count of rows returned by that query, wrap it in outer query.
SELECT COUNT(1) FROM (
/* your query here */
) c
That will give you a count of rows returned by your query.
I need some help to get the desired results, which would in this case, be 7 (the number of rows in the products table that would match).
What I am instead getting is 7 rows with a count based on the the number of rows returned in the LEFT JOIN.
SELECT count(p.id) as theCount
FROM products p
left join tablea a on p.id = a.productId
left join tableb b on p.id = b.productId
WHERE (a.col = 'val' or b.col = 'val')
group by p.id
If I do not group by p.id, I get back 28 rows, which is all of the rows from the LEFT JOIN.
I know it's something simple, but I can't figure it out.
Thanks.
select count(distinct p.id), perhaps? Since you're pulling from two different tables, you're going to get a mismash of (p.id, a.col, b.col) being (xxx, null, yyy) and (xxx, yyy, null)
You shouldn't join the one-to-many relationships if all you want is the count of products.
Put your filter condition in the WHERE clause.
SELECT count(*) as theCount
FROM products p
WHERE p.id IN (
SELECT a.productId
FROM tablea a
WHERE a.productId = p.id AND a.col = 'val'
UNION
SELECT b.productId
FROM tableb b
WHERE b.productId = p.id AND b.col = 'val'
)
This is the query I'm performing (without some Joins that are not relevant):
SELECT a.*, c.id
FROM a
LEFT OUTER JOIN b ON a.id = b.id_anunciante
LEFT OUTER JOIN c ON c.id = b.id_rubro
GROUP BY a.id
Each row of "a" is linked with 1 to 5 rows in "b".
The problem is that GROUP BY has performance issues (it takes 10x or more using GROUP BY than not using it). I need to retrieve only one row of each member in "a".
How can I make this faster?
edit: I need to be able to filter by a.id AND/OR c.id. The resultset I should be getting is only 1 row per "valid" member of "a", meaning the rows that match the constraints. Rows that don't match the filters shouldn't be returned.
In my original query, this would be done this way:
SELECT a.*, c.id
FROM a
LEFT OUTER JOIN b ON a.id = b.id_anunciante
LEFT OUTER JOIN c ON c.id = b.id_rubro
WHERE c.id = 1
OR a.id = 1
GROUP BY a.id
a.id, b.id_anunciante, b.id_rubro, c.id are all indexes.
SELECT a.*,
(
SELECT c.id
FROM b
JOIN с
ON c.id = b.id_rubro
WHERE b.id_anunciante = a.id
-- add the ORDER BY condition to define which row will be selected.
LIMIT 1
)
FROM a
Create the index on b (id_anunciante) for this to work faster.
Update:
You don't need the OUTER JOINs here.
Rewrite your query as this:
SELECT a.*, c.id
FROM a
JOIN b
ON b.id_anunciante = a.id
JOIN c
ON c.id = b.id_rubro
WHERE a.id = 1
UNION ALL
SELECT a.*, 1
FROM a
WHERE EXISTS
(
SELECT NULL
FROM c
JOIN b
ON b.id_rubro = c.id
WHERE c.id = 1
AND b.id_anunciante = a.id
)
Add ORDER BY NULL to avoid the implicit sorting MySQL does when doing a group by.
I suppose you have indexes/PKs on a.id, b.id_anunciante, b.id_rubro and c.id ? I guess you could try adding a composite index on (b.id_anunciante, b.id_rubro) if your mysql version is not able to do an index merge.