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rel8 relies on undefined behavior of ORDER BY #151
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I understand exactly what you're saying, and don't disagree with it. You could probably escalate this issue to Opaleye (cc @tomjaguarpaw), as the same issue exists there, too. In practice, I guess we're "lucky" |
Yes, this as an Opaleye issue. @bitc can you open an issue on the Opaleye tracker? (You can paste the contents of you message here almost verbatim.) https://github.com/tomjaguarpaw/haskell-opaleye/issues/new |
I have opened issue tomjaguarpaw/haskell-opaleye#538 against haskell-opaleye I suppose this issue can be closed now. |
I'm gonna keep it open, because I believe Rel8 has its own complications here (for example, adding |
Hello, this library is really cool. The best feature is that it can return trees of data instead of just tables.
But I noticed that the SQL it generates relies on undefined (or unspecified?) behavior of PostgreSQL, with regards to ORDER BY and LIMIT and ARRAY_AGG.
Here is an example query with ORDER BY and LIMIT:
If this is changed to:
then this is no longer the same query. Even though the inner SELECT has an ORDER BY clause, once it is selected from by the outer select, it is treated as an unordered relation, and the rows may result in any order. So the LIMIT clause will choose an arbitrary 5 rows. In practice, it seems that PostgreSQL will always returned the "expected" results for this query, but it is not guaranteed. The general rule of thumb is that LIMIT clause only makes sense when attached directly to an ORDER BY clause
And now for ARRAY_AGG there is a similar issue.
Here is an example query:
This query doesn't do what we want. PostgreSQL aggregate functions aren't influenced by the ORDER BY clause that we have here, and so the result can be that the elements will be in any arbitrary order. The correct version of this query is this:
If we want a LIMIT clause then we actually need two ORDER BY clauses like this:
Also in these examples, even with the "incorrect" ARRAY_AGG query, it seems that in practice PostgreSQL will always return the "expected" result, but again this is not guaranteed.
I am not sure when these types of "incorrect" queries are likely to give incorrect results in practice (it may be never), but a good guess is when the queries become very complicated (go beyond the
from_collapse_limit
) or involve parallel scans.The text was updated successfully, but these errors were encountered: