I've got a sub-select in a query that looks something like this:
left outer join
(select distinct ID from OTHER_TABLE) as MYJOIN
on BASE_OBJECT.ID = MYJOIN.ID
It's pretty straightforward. Checks to see if a certain relation exists between the main object being queried for and the object represented by OTHER_TABLE by whether or not MYJOIN.ID
is null on the row in question.
But now the requirements have changed a little. There's another row in OTHER_TABLE
that can have a value of 1 or 0, and the query needs to know whether a relation exists between the primary for a 1-value, and also if it exists for a 0 value. The obvious solutions is to put:
left outer join
(select distinct ID, TYPE_VALUE from OTHER_TABLE) as MYJOIN
on BASE_OBJECT.ID = MYJOIN.ID
But that would be wrong because if 0-type and 1-type objects both exist for the same ID, it will increase the number of rows returned by the query, which isn't acceptable. So what I need is some sort of subselect that will return 1 row for each distinct ID, with a "1-type exists" column and a "0-type exists" column. And I have no idea how to code that in SQL.
For example, for the following table,
ID | TYPE_VALUE
________开发者_StackOverflow社区_________
1 | 1
3 | 0
3 | 1
4 | 0
I'd like to see a result set like this:
ID | HAS_TYPE_0 | HAS_TYPE_1
______________________________
1 | 0 | 1
3 | 1 | 1
4 | 1 | 0
Anyone know how I could set up a query to do this? Hopefully with a minimum of ugly hacks?
In the general case, you would use EXISTS:
SELECT DISTINCT ID,
CASE WHEN EXISTS (
SELECT * FROM Table1 y
WHERE y.TYPE_VALUE = 0 AND ID = x.ID)
THEN 1
ELSE 0 END AS HAS_TYPE_0,
CASE WHEN EXISTS (
SELECT * FROM Table1 y
WHERE y.TYPE_VALUE = 1 AND ID = x.ID)
THEN 1
ELSE 0 END AS HAS_TYPE_1
FROM Table1 x;
If you have a very large number of elements in the table, this won't perform so great - those nested subselects are often a kiss of death when it comes to performance.
For your specific case, you could also use GROUP BY and MAX() and MIN() to speed things up:
SELECT
ID,
CASE WHEN MIN(TYPE_VALUE) = 0 THEN '1' ELSE 0 END AS HAS_TYPE_0,
CASE WHEN MAX(TYPE_VALUE) = 1 THEN '1' ELSE 0 END AS HAS_TYPE_1
FROM Table1
GROUP BY ID;
Instead of select distinct ID, TYPE_VALUE from OTHER_TABLE
use
select ID,
MAX(CASE WHEN TYPE_VALUE =0 THEN 1 END) as has_type_0,
MAX(CASE WHEN TYPE_VALUE =1 THEN 1 END) as has_type_1
from OTHER_TABLE
GROUP BY ID;
You can do the same using PIVOT
opearator...
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