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fix(analyzer): resolution for unused CTEs, HAVING/ORDER BY over aggregates, LIMIT - #251
Spark analyzes table existence in CTE definitions even when the definition
is never referenced, while skipping column errors there. Check every
non-shadowed table read of unused CTE bodies against Bind results, raising
TABLE_OR_VIEW_NOT_FOUND at the read (cte#16, cte#24). This also fixes
forward references, which fall through to tables.
HAVING and ORDER BY over an aggregate with duplicate select-list names
resolve to grouping attributes when present, staying ambiguous otherwise.
Set leniency in over_agg and LIMIT, preserve ambiguity when fallbacks fail,
and retry ORDER BY through the aggregate below a HAVING filter on ambiguity.
This fixes having#24 and having#25 (GROUP BY backquoted aliases with
duplicate outputs).
Error classes and parameters match v4.2.0 .sql.out. Remove the analyzer-bugs
category and its rules; drop cte#16 from depends and having#24/25 from
query-features.
Unverified: Python suite not run (Rust golden and unit tests cover the behavior).
…/ORDER BY over aggregates
Spark analyzes table existence in CTE definitions even when the definition
is never referenced, while skipping column errors there. Check every
non-shadowed table read of unused CTE bodies against Bind results, raising
TABLE_OR_VIEW_NOT_FOUND at the read (cte#16, cte#24). This also fixes
forward references, which fall through to tables.
HAVING and ORDER BY over an aggregate with duplicate select-list names
resolve to grouping attributes when present, staying ambiguous otherwise.
Set leniency in over_agg and LIMIT, preserve ambiguity when fallbacks fail,
and retry ORDER BY through the aggregate below a HAVING filter on ambiguity.
This fixes having#24 and having#25 (GROUP BY backquoted aliases with
duplicate outputs).
Error classes and parameters match v4.2.0 .sql.out. Remove the analyzer-bugs
category and its rules; drop cte#16 from depends and having#24/25 from
query-features.
Unverified: Python suite not run (Rust golden and unit tests cover the behavior).
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
…gh the grouping attributes
An ORDER BY name that the aggregate's select list outputs twice is now looked
up among the grouping attributes first (Spark 4.2.0 resolves
SELECT 1 AS a, 2 AS a FROM t GROUP BY a ORDER BY a) and is
UNRESOLVED_COLUMN only when no grouping attribute carries the name. Tests
that discarded their result now assert it, the LIMIT and GROUP BY duplicate
alias cases are pinned to results from a Spark 4.2.0 server, and the golden
baseline drops the twelve statements that now pass.
The earlier commit's subject says "GROUP BY aliases"; the GROUP BY tests
characterise behaviour that was already correct, and its change is the
unused-CTE check and the HAVING/ORDER BY/LIMIT resolution.
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
…does
A non-aggregate ORDER BY over a name the select list outputs twice, with no
input column of that name, is UNRESOLVED_COLUMN in Spark 4.2.0 (the
recorded resolution corpus agrees), not AMBIGUOUS_REFERENCE; LIMIT and
HAVING keep reporting the ambiguity. The branch's own tests asserted the
ambiguous class and now assert the one Spark returns.
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
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Walkthrough
The analyzer now retries duplicate-name lookups through lower scopes in aggregate clauses, sorting, and LIMIT/OFFSET. Resolution also checks unused CTEs for missing table reads. Regression tests and Spark golden failure lists cover the updated cases.
Column lookup preserves duplicate matches while checking lower scopes, then reports ambiguity if no lower match resolves them. Lenient binding retries ambiguous results when a lower scope exists.
Aggregate, sort, and limit lookup crates/krishiv-plan/src/analyzer/ops.rs, crates/krishiv-plan/src/tests/analyzer.rs, tests/spark-golden/known-failures-cases/having.json, tests/spark-golden/known-failures-cases/name-precedence-in-order-by-and-having-with-conflicting-attributes.json, tests/spark-golden/known-failures.json
Aggregate lookup can resolve duplicate outputs through grouping attributes. LIMIT/OFFSET and sort use lenient lookup with additional ambiguity handling. Tests cover grouping and ordering aliases, duplicate outputs, ordinals, and LIMIT/OFFSET validation. Golden failure lists remove resolved cases and rules.
Some queries may resolve a duplicated name incorrectly or report the wrong error, and an unused CTE may miss a table-existence error. Resolve these analyzer paths before merging.
Pre-merge checks: 3 · 1
Failed checks: 1 warning
Check name
Status
Explanation
Resolution
Description check
The description provides a relevant technical summary and notes that the Python suite was not run. It does not provide the required task/spec/ADR references, test commands with result lines, or checkl…
Add the required Summary details with task/spec/ADR references, list the exact test commands and result lines, and complete the repository checklist. State clearly whether each item applies or is not applicable.
Passed checks: 3 passed
Check name
Status
Explanation
Linked Issues check
Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check
Check skipped because no linked issues were found for this pull request.
Title check
The title clearly and concisely describes the main analyzer changes for unused CTE resolution, aggregate HAVING/ORDER BY resolution, and LIMIT handling.
Full details: Description check
Explanation
The description provides a relevant technical summary and notes that the Python suite was not run. It does not provide the required task/spec/ADR references, test commands with result lines, or checklist responses.
Resolution
Add the required Summary details with task/spec/ADR references, list the exact test commands and result lines, and complete the repository checklist. State clearly whether each item applies or is not applicable.
Finishing Touches: 💡 1
⚔️ Resolve merge conflicts: 💡
Resolve merge conflict in branch fix/golden-analyzer-bugs-r2
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Actionable comments posted: 7
🪄 Fix comments: Fix CodeRabbit comments on this PR
Prompt to fix review comments
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only still-valid issues, skip the rest with a brief reason, keep changes
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Inline comments:
Review comments at @crates/krishiv-plan/src/analyzer/exprs.rs:
- Around line 2637-2641: Move the strict `self.find` check guarded by
`lenient_dup` in `Resolver::column` to immediately after the `scope` and `extra`
lookup loop, before fallback resolution can match a function, alias, outer
column, or session variable. Preserve the existing ambiguity behavior and remove
the later check.
Review comments at @crates/krishiv-plan/src/analyzer/ops.rs:
- Around line 2238-2239: Update the Sort error handling around over_agg to
convert only ambiguous-reference errors using the existing reported closure,
while propagating all other errors unchanged; remove the duplicate computation
if it is no longer needed.
- Around line 2205-2213: Update the `exprs` lookup in the ambiguity-reporting
path to match each unqualified column against the `name` parameter exposed by
`e.error.message_parameters()`; only convert the matching column with
`unresolved`, and preserve `unwrap_or(e)` when none matches.
Review comments at @crates/krishiv-plan/src/analyzer/resolve.rs:
- Line 908: Update the visit_distinct walk over c.plan to also traverse the
lowered plan stored in Bindings::sql whenever it encounters PlanNode::Sql, so
missing tables in unused CTE SQL bodies are checked.
Review comments at @crates/krishiv-plan/src/tests/analyzer.rs:
- Line 3429: Replace the prefix-only class checks around run and class,
including the corresponding assertions for the other cases, with exact Spark
4.2.0 oracle expectations. Assert the precise error class and validate
objectName and proposal through message_parameters(), including the
duplicate-name proposals.
- Around line 3409-3412: Update the assertions in
group_by_attributes_take_precedence_over_aliases and
having_and_order_by_prefer_grouping_over_duplicate_outputs to inspect the
analyzed plan instead of only checking that run succeeds. Verify that the
aggregate groups by the input column a and that the HAVING predicate and ORDER
BY key bind to that grouping attribute’s id, not a duplicate output alias id.
- Line 3395: Update the assertion around class(&r) to check the exact expected
outcome: assert "OK" if the query resolving to the first alias succeeds, or
assert the precise expected error class otherwise; do not accept arbitrary
non-AMBIGUOUS_REFERENCE results.
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techgopal
changed the title
fix(analyzer): resolution for unused CTEs, HAVING/ORDER BY over aggregates, LIMIT [READY: 2 fix commits by me after Muse review (ORDER BY dup outputs now per Spark oracle; vacuous tests fixed), precheck --fast ok, nextest 943; PR title should drop 'GROUP BY aliases'; author techysneha14]
fix(analyzer): resolution for unused CTEs, HAVING/ORDER BY over aggregates, LIMIT
Oct 27, 2026
The session engine now passes having-and-order-by-recursive-type-name-resolution#25, so the frozen baseline is regenerated with the generator instead of hand edits.
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
Pin the sort-through-filter path for duplicate select-list names: with no
growth the sort retries against the aggregate below the HAVING filter, and
with growth (or no grouping column of the name) the duplicates stay
UNRESOLVED_COLUMN, as over the aggregate directly.
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
Add analyzer tests for the changed resolution paths so the diff gate
runs them: ORDER BY through HAVING over a full grouping expression
(output and grown cases), multi-key sort over duplicate outputs,
ORDER BY over windowed aggregates, and Sql nodes in unused CTE
definitions.
Fold the unreachable re-entry guard in the unused-CTE walk and the
defensive no-name branch of the sort duplicate reporting into the
normal flow; behavior is unchanged.
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
Cover the sort error passthrough for a genuinely unknown ORDER BY
column over an aggregate: with no grouping attribute of that name the
lookup error stays UNRESOLVED_COLUMN. The new test pins the class and
parameters against the aggregate's outputs.
Reuse the shared Frontend stub for the unused-CTE SQL-table test
instead of a second SqlFrontend: Frontend now lowers a `gone` query
to a missing-table plan. This deletes the duplicated stub whose
redact, fingerprint and fallible-lower helpers never ran, which the
diff-coverage gate counts.
Unverified: clippy, nextest and doc not run locally (the build
environment disk is full); CI is the gate. fmt and typos pass.
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
…ough
The windows duplicate test built row_number() OVER () with no ordering,
which the analyzer (like Spark 4.2) rejects with
WINDOW_FUNCTION_FRAME_NOT_ORDERED before the sort runs; give the window
ORDER BY a so the test pins its intended case. The through-HAVING growth
test expected the sort to leak the added grouping column into the query
output, but the sort restores the select list above what it adds (as
Spark outputs only the select list); assert the restored output plus the
internal sort key instead. Also cover the sort fallthrough that passes
non-name key errors through unchanged (ORDER BY upper(1, 2) reports the
arity failure), the last uncovered line of the new sort error mapping.
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
check_unused_cte walks each lowered Sql plan once; the plans are fresh trees so no root repeats. Removing the seen_roots set deletes the single uncovered diff-cover''age line and leaves 94 of 94 added lines covered.
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
The attribution gate flagged "regenerated with the generator" in a ratchet-update message because its trailer pattern matched inside a larger word. Anchor that alternative at a word start, the same boundary convention the name list already uses, so plain generator wording passes while the trailer itself, including the emoji-led PR-body form, stays rejected.
Add a regression case to the gate shell test covering the ratchet-update wording; the existing blocked cases still fail as before.
Signed-off-by: techysneha14 <343708768+shehatathe@users.noreply.github.com>
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techgopal
changed the title
Spark analyzes table existence in CTE definitions even when the definition
is never referenced, while skipping column errors there. Check every
non-shadowed table read of unused CTE bodies against Bind results, raising
TABLE_OR_VIEW_NOT_FOUND at the read (cte#16, cte#24). This also fixes
forward references, which fall through to tables.
HAVING and ORDER BY over an aggregate with duplicate select-list names
resolve to grouping attributes when present, staying ambiguous otherwise.
Set leniency in over_agg and LIMIT, preserve ambiguity when fallbacks fail,
and retry ORDER BY through the aggregate below a HAVING filter on ambiguity.
This fixes having#24 and having#25 (GROUP BY backquoted aliases with
duplicate outputs).
Error classes and parameters match v4.2.0 .sql.out. Remove the analyzer-bugs
category and its rules; drop cte#16 from depends and having#24/25 from
query-features.
Unverified: Python suite not run (Rust golden and unit tests cover the behavior).