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Graph/misplaced-filtering-and-limit-scoping

AntiPattern

Query Predicate Placement

misplaced-filtering-and-limit-scoping

Filter logic gets misapplied by placing predicates and control-flow in the wrong query layer (ROLLUP/UNION behavior, IN/NOT IN with subqueries, LIMIT scoping, and unnecessary loop exits), causing aggregates to include only totals or updates to target wrong rows.

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Updated6/29/2026

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30 linked nodes

MATCHESSolution

Use UPDATE ... WHERE id IN (SELECT id FROM ... LIMIT $n) pattern. — The subquery selects the IDs with LIMIT, and the outer UPDATE targets only those rows. Tension: All filter predicates go in the inner SELECT. Outcome: Parameters are passed positionally ($1, $2, etc.) and the LIMIT parameter goes last.

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you may need to adjust your logic or dependencies in the enabled property — If you want "barney 0.5" to be logged every time useQuery is executed. Outcome: ensure it reflects the desired behavior.

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LEFT JOIN both, fail only if both are NULL — validation predicate. Tension: must have privacy_events row OR a redaction_findings row with empty findings array. Outcome: `LEFT JOIN privacy_events pe ON ... LEFT JOIN redaction_findings rf ON rf.source_table=... AND rf.source_id=... AND jsonb_array_length(rf.findings)=0 WHERE pe.id IS NULL AND rf.id IS NULL`.

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the existing validate.ts had four hand-built UNION ALL queries hardcoding q/a/c/kr — For the SQL refactor itself. Tension: each query has different per-table column projections. Outcome: The cleanest pattern.

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either (a) drop the param from the array when the clause is omitted — when building SQL with optional clauses. Tension: requires dynamic position recomputation, error-prone. Outcome: (b) is safer for most cases.

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`injected` is not the solution — there is a projection type of `injected`. Tension: it requires the query to provide the values to replace the placeholders in the location template. Outcome: it won't automatically get them from S3 prefixes.

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Keep two listeners or refactor so one wrapper function registers both listeners that call the same shared effect logic; alternatively, create a single predicate/matcher that encompasses both conditions if feasible.

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More complex, multi-statement queries, or things like `insert..on conflict` and `merge`.

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Drop ORDER BY when there's no LIMIT. Tension: Salience ordering only matters when you're picking the top-K. Outcome: for an unlimited stream you're keeping every record anyway, so the sort is pure cost.

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Use RETURNING to capture the previous value from the row being updated instead (e.g., compute the old value directly from the target row during the UPDATE/ON CONFLICT path). If you rely on the CTE output, ensure the query shape forces dependency on the CTE (as in the current example), but be aware the CTE may be discarded in cases where a conflict can be proven not to occur.

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You need dynamic SQL to do this properly. — in PostgreSQL, I am trying to have SQL which orders by multiple columns. Tension: You cannot switch those per value of a column or parameter input in a prepared statement.

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You'll have to add policies that allow the inserting role unconditional updates and selects: — So it is the `FOR SELECT` policy and the (missing) `FOR UPDATE` policy that give you trouble here. Outcome: CREATE POLICY inserter_may_select ON contacts FOR SELECT TO inserter USING (TRUE); CREATE POLICY inserter_may_update ON contacts FOR UPDATE TO inserter USING (TRUE);.

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you'd have to use an exists subquery to model this — For now. Tension: That's not yet possible. Outcome: update PushPermission p set p.exampleField=true where exists ( select 1 from product pr where p.id=pr.id and pr.feed<>'PROMO'; ).

MATCHESSolution

Use a union of two event rows per order (createdat with val=0 and doneat with val=price when status='completed' else 0), then compute sum(val) over (partition by userid order by event time, keep desc) and filter to the created rows to produce the cumulative total at placement.

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I want to retain the discrete event scoring, but also rank the racer in the series. Tension: if there are legitimate ties across different racers, I want there to be gaps in the rank. Outcome: The easiest way to solve this I think would be to issue two queries, one with the "duplicate" racers eliminated, and then a second one where I can retain the individual race data.

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Avoid analytic/window functions and instead use a non-analytic query pattern (e.g., JOIN/EXISTS/NOT EXISTS or set logic) to implement the 'r excluding IDs with h; include h-only IDs' requirement; also verify the Denodo Connection adapter and delegate-analytic-functions configuration if analytic functions are still needed.

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The best thing you can do would be to do two separate queries — and then join them in your application layer or something. Tension: you cannot achieve this. Outcome: join them in your application layer or something.

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Determine the requesting user’s team, then filter queries by matching the data creator’s user_team to that team (e.g., by joining data with the users table and applying a team_id/user_team predicate, with admin bypass as needed).

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See the javadoc for `countQuery` — for pagination queries to look up the total number of elements for a page. Tension: it is using the original query (including the sort) to perform the count which results in an invalid query. Outcome: add a custom count query which excludes the sort and everything should work as expected.

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if you use derived queries.

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Ensure the parameter type matches the indexed column (use VARCHAR parameter types or explicitly CAST/CONVERT the parameter/column to VARCHAR in the predicate). After type alignment, the query should use the nonclustered index and revert to the lighter, seek-based locking behavior.

MATCHESSolution

Rewrite the traversal to reduce the number of OR branches—e.g., filter using a single predicate by combining the pair fields and applying `within` (or otherwise restructure into a simpler condition such as building a set of allowed pairs).

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In this method. Outcome: the filter and subfilter have to be set.

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Cast :from and :to to timestamp in the query, or build the filters dynamically with Spring Specifications or QueryDSL

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Use the JPQL/HQL variant that adds an OVER clause with partitioning (and ordering) so Hibernate accepts ARRAY_AGG, returning the projection via a constructor expression.

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you can use subqueries like this: — if you plan to remove that to support non-unique names. Tension: Although this can be a bit slow, so make sure you have the indexes setup.

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Use album.review_set.all() in a nested loop, or use aggregate database functions instead

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Drizzle supports this cleanly with `or()` + `isNull()` — Drizzle ORM. Tension: no raw SQL needed. Outcome: const rows = await db.select().from(questions).where( or( eq(questions.tenantId, tenantId), isNull(questions.tenantId) ) );.

MATCHESSolution

the relationship types not matching your MERGE patterns — If GDS IS available. Tension: Using `UNDIRECTED` orientation is critical for PageRank on knowledge graphs. Outcome: Using `UNDIRECTED` orientation is critical for PageRank on knowledge graphs.

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UNION ALL is the right call. — Unified activity feeds. Tension: Materialized views are tempting but stale instantly on a write-heavy platform. Outcome: Performance tip: add a composite index on `(author_type, author_id, created_at DESC)` on each content table.

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