I currently have a query
SELECT id FROM table1 WHERE {filters on table1} AND id NOT IN (SELECT table1ID FROM table2 WHERE condition = 0)
Table1 has a 1 - Many relationship with table2 and I'm looking for all the IDs that have no entries in table2 with condition=0.
Is there any way to rewrite this query without the inner select? I'm been scratching my head about it for a while now and any pointers would be welcome.
You can try something like
SELECT id
FROM table1 t1 LEFT JOIN
table2 t2 ON t1.ID = t2.table1ID
AND t2.Condition = 0
WHERE {filters on table1}
AND t2.table1ID IS NULL
Or just as good would be
SELECT id
FROM table1 t1
WHERE {filters on table1}
AND NOT EXISTS (
SELECT 1
FROM table2 t2
WHERE t1.ID = t2.table1ID
ADN t2.condition = 0
)
Related
Here are 2 tables.
Table 1
id value
1 3
2 2
3 3
4 1
5 4
6 3
Table 2
id
1
3
4
How do I get the ids that are in Table 2 which have the max value in Table 1?
Output:
id
1
3
I already tried the following to get the max value, but I cannot figure out how to use it in a single query to get the matching rows. Because I think I need to select from the same table I just inner joined.
select max(table1.value)
from table2
inner join table1 on table1.id = table2.id;
Here is one method:
select t2.id
from (select t2.*, rank() over (order by value desc) as seqnum
from table2 t2 join
table1 t1
on t2.id = t1.id
) t
where seqnum = 1;
Or, an alternative that puts all the ids on one row:
select group_concat(t2.id) as ids
from table2 t2 join
table1 t1
on t2.id = t1.id
group by t1.value
order by t1.value desc
limit 1;
You have a couple of options available without using window functions:
You can use a WHERE clause to select only id values that have a value equal to the MAX(value) from your query and an id that is in Table2:
SELECT t1.id
FROM Table1 t1
WHERE value = (
SELECT MAX(t1.value)
FROM Table2 t2
JOIN Table1 t1 ON t1.id = t2.id
)
AND id IN (SELECT id FROM Table2)
You can JOIN your query to Table1 and Table2 again, matching the value in Table1 and the id in Table2:
SELECT t1.id
FROM (
SELECT MAX(t1.value) AS max_value
FROM Table2 t2
JOIN Table1 t1 ON t1.id = t2.id
) t
JOIN Table1 t1 ON t1.value = t.max_value
JOIN Table2 t2 ON t2.id = t1.id
In both cases the output is
id
1
3
Demo on SQLFiddle
Too low to comment but from the SQL statement you gave, you just need to add the tableid in your select parameters.
select table2.id, max(table1.value)
from table2
inner join table1 on table1.id = table2.id;
UPDATE table1 AS t1
INNER JOIN table2 AS t2 ON t1.table1_id=t2.table2_id
SET t1.overview=t2.val
WHERE t1.table1_id=(SELECT table2_id
FROM table2
WHERE table2_id=1);
table2 has multiple id values which are 1, so it gives
#1242 - Subquery returns more than 1 row
You need a DISTINCT.
UPDATE table1 AS t1
INNER JOIN table2 AS t2
ON t1.table1_id = t2.table2_id
SET t1.overview = t2.val
WHERE t1.table1_id = (SELECT DISTINCT table2_id FROM table2 WHERE table2_id = 1);
And if table2_id is fixed, why don't you just use 1 like:
UPDATE table1 AS t1
INNER JOIN table2 AS t2
ON t1.table1_id = t2.table2_id
SET t1.overview = t2.val
WHERE t1.table1_id = 1;
Obviously you have more than 1 record in table2 with same ID.
But if it's OK, change your = operator to in operator.
So This will be your code:
UPDATE table1 AS t1 INNER JOIN table2 AS t2 ON t1.table1_id=t2.table2_id SET t1.overview=t2.val where t1.table1_id in ( SELECT table2_id
FROM table2 WHERE table2_id=1);
Edit:
No need to subquery, it's redundant. Check this out:
UPDATE table1 AS t1 INNER JOIN table2 AS t2 ON t1.table1_id=t2.table2_id SET t1.overview=t2.val where table2_id=1;
If you indeed want to compare t1.table1_id against multiple values, use:
in instead of =
UPDATE table1 AS t1
INNER JOIN table2 AS t2 ON t1.table1_id=t2.table2_id
SET t1.overview=t2.val WHERE t1.table1_id
IN ( SELECT xxx FROM table2 WHERE table2_id=1);
BTW if you are only returning table2_id from the inner query, you can skip the inner query altogether.
Please consider this query:
SELECT table1.* ,
(SELECT quantity FROM table2 WHERE id = table1.id AND table2.location = 10) quantity,
(SELECT reorder_level FROM table2 WHERE id = table1.id AND table2.location = 10) reorder_level,
(SELECT stock_date FROM table2 WHERE id = table1.id AND table2.location = 10) stock_date
FROM table1
WHERE category_id = 5 ORDER BY table1.id;
The aliases quantity, location and stock_date are obviously referencing a a row in table2 that fulfill the condition: id=table1.id and location=10.
This query works, but is probably suboptimal as a result of the clumsy subqueries.
How can I best join table1 to table2 USING(id) but only on rows where location is also 10.
TIP: One row from table1 has many rows in table2.
Unfortunately, the actual table definitions are much more complex, and I reckoned it might be counter-productive to dump the entire thing on this thread.
You can use additional condition in ON() part so it will join only rows which fulfills the provided criteria
SELECT t1.* ,
t2.quantity ,
t2.reorder_level,
t2.stock_date
FROM table1 t1
LEFT JOIN table2 t2 ON t1.id = t2.id AND t2.location = 10
WHERE t1.category_id = 5
ORDER BY t1.id;
Another way would be use a subselect for your table2 and select only rows where location is equal to 10
SELECT t1.* ,
t2.quantity ,
t2.reorder_level,
t2.stock_date
FROM table1 t1
LEFT JOIN
(SELECT * FROM table2 WHERE t2.location = 10) t2
ON t1.id = t2.id
WHERE t1.category_id = 5
ORDER BY t1.id;
I have some SQL code that returns me some data from DB
SELECT t1.id as id, title, description FROM table1 t1
JOIN table2 t2 ON t1.id = t2.t1_id
WHERE t2.t3_id IN( SELECT id FROM table3 WHERE parent_id IN ( SELECT id FROM table3 WHERE parent_id = 1)) GROUP BY t1.id
I have some problem with counting number of rows of result. I know that I have to write almost the same code but with COUNT but I have there A problem, my code doesn't return me a number of rows.
Just use the COUNT(*) function. Also, your subqueries can be converted to a JOIN (and your sub-subquery is redundant):
SELECT COUNT(*)
FROM table1 t1
JOIN table2 t2
ON t1.id = t2.t1_id
JOIN table3 t2
ON t3.id = t2.t3_id
WHERE t3.parent_id = 1
Ok. I have some data in one table, that references on multiple occasions some data in another table.
Table1 - main client table
Table2 - user defined fields
Say I have a query that shows a client id from Table1 and all attached / used "used defined fields" from Table2
SELECT t1.Id, t2.udf
FROM Table1 t1
JOIN Table2 t2 ON t1.Id = t2.Index
WHERE t1.EndDate IS NULL AND
t1.Id = '1234.9876' AND
I would get the following for a result...
ID UDF
1234.9876 100
1234.9876 110
1234.9876 118
1234.9876 124
1234.9876 198
1234.9876 256
Now, say I wanted to query this same thing, and get ONLY the ID of the Client, but ONLY IF a value for t2.udf equaling '194' did not exist. So, I would simply get
ID
1234.9876
...as a result.
Make the join a LEFT join and filer where t2.Index is null
SELECT t1.Id
FROM Table1 t1
LEFT JOIN Table2 t2 ON t1.Id = t2.Index
AND t2.UDF = 194 -- has to be before where clause
WHERE t2.Index IS NULL
AND t1.EndDate IS NULL
AND t1.Id = '1234.9876' -- not sure if you want this part
Another way by using NOT EXISTS
SELECT t1.Id
FROM Table1 t1
WHERE NOT EXISTS (SELECT 1 FROM Table2 t2 WHERE t1.Id = t2.INDEX
AND t2.UDF = 194)
AND t1.EndDate IS NULL
AND t1.Id = '1234.9876'
See also JOINS
You can add AND t2.udf not in (select udf from table2 where udf <> '194').
But #SQLMenace solution is better
This should do it.
SELECT DISTINCT t1.Id
FROM Table1 t1
LEFT JOIN Table2 t2 ON t1.Id = t2.Index
WHERE t2.UDF NOT IN (194)
AND t2.Index IS NULL
Select DISTINCT gives you unique entries that satisfy the other conditions, and the first where clause
t2.UDF NOT IN (194)
Normall would return all the rows for the t1 where the t2.UDF is not 194, but it is limited by the Select Distinct to give you only distinct id's
Try the following:
SELECT t1.Id
FROM Table1 t1
JOIN Table2 t2 ON t1.Id = t2.Index
WHERE t1.EndDate IS NULL AND
t1.Id = '1234.9876' AND
t2.udf <> '194'