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You can try the following query. Adding an index on (tid, timestamp, id) should help with efficiency: SELECT a.* FROM ( SELECT DISTINCT tid FROM ast ) AS t LEFT JOIN ast AS a ON …

To answer the main question: Doesn't T-SQL support correlated CROSS JOINs? No. CROSS joins are not correlated in SQL (any variant, not only T-SQL). Is there a workaround? Yes. Correlated joins are …

Another method that works even in ancient versions (eg 5.1) is to mimic the LATERAL join with what I call "poor man's" LATERAL JOIN / OUTER APPLY. This is the LATERAL join we want to mimic: SELECT i.* …

The WHERE clause in the subquery is not correct: the condition should be checking the subquery table (PTAA), not the main one (PTA), in order to get the correlated effect you are seeking. minor correction …

add a condition in b subquery: LEFT JOIN ( /* ➊ Inner query */ SELECT eq.contact_id contact_id, COUNT(*) sent FROM mailing_job j INNER JOIN mailing_event_queue eq ON eq.job_id …

There are many many ways to do this. Here is one that only slightly changes your attempt: SELECT m1.ModuleID, m1.CWWeight, l.StaffID FROM dbo.module as m1 INNER JOIN dbo.Lecturer as l ON m1.Modul …

If 2 is a fixed value and you'll never need to compare against 3, 4 or more items in the future, then you could convert the subquery to a derived table and find the 2 values with aggregation: select r.res_id …

You need to move that COUNT() in the subquery. Assuming you want to show all Events from the 3 continents with lowest count of events: Select c.[ContinentName], a. …

I run this query: select * from t1 where c1 in (select c1 from t2); The above query should give an error as c1 is not present in t2. Instead, it returns all the rows from t1. No, the query should n …

You can add this restriction with either a NOT EXISTS subquery or with LEFT JOIN / IS NULL: SELECT * FROM MyObject INNER JOIN ( SELECT * from ConfigKV WHERE key = 'foo' AND value = 'bar' ) as SQ1 on …

You can use CTEs when you have repeating subqueries. Although it's not necessarily better for performance, in Postgres CTEs are an optimization fence, in other words they are evaluated once (or not at …

The other common method would be using window functions in a subquery or CTE and then restricting the result with a WHERE in the main query - exactly what Lennart's answer does. … In any case, the problem needs some kind of subquery to be solved. For efficiency, an index on (player_id) is very likely to help, with either method you write the query. …

The trick is to rewrite the inline subquery as a join but not as a derived table. The subquery becomes the right part of the ON condition. …

In the last, external query you cross join foo with t1 and t2, while you only need (and use) columns from foo and t2. So remove the t1 join: WITH ... SELECT FROM ( ... ) foo, t2 ; …

.* FROM game AS g LEFT JOIN ( SELECT min(id) AS id FROM game GROUP BY matchid, ordinal ) AS d ON g.id = d.id WHERE d.id IS NULL ; or an EXISTS subquery rewritten as a JOIN (delete …