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feat: note silent row loss on joins in sql_execute results - #1549
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After a successful read, `sql_execute` now checks each equality join whose two inputs are plain relations (at most two per query) and, when fewer than half of the left rows have a match, adds one advisory note: how many left rows were lost, and to confirm the loss is expected or find a key or source that covers the population. Healthy joins add nothing. - `sql-join-coverage.ts`: parses with DuckDB's own parser (`json_serialize_sql`), rebuilds each join side, runs one counting query, and returns the note. Any parse ambiguity, error or overrun of the 250 ms budget returns nothing and leaves the result unchanged. - `ALTIMATE_SQL_AUTO_CHECK=off|local|all` (default `local`): `local` runs only on the scratch database and DuckDB/SQLite connections; `all` adds remote warehouses, base tables only, capped at 100,000 left rows. - `sql-execute.ts`: adds the note ahead of lint notes and sets `join_coverage_warning` in metadata. - Tests on real DuckDB (scratch) and SQLite: low and threshold coverage, left-join wording, multi-key, CTE and subquery sides, no join, off flag, non-equality conditions, remote skip in local mode, errors, timeout, and the note reaching `sql_execute` output. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
… engine Review found that a timeout on a local DuckDB count restarts the engine helper and drops the session's scratch state, that work could continue past the budget, and that remote-backed DuckDB passed as local. - Local counts run only on base tables in a local DuckDB database (not views, not `md:` or URL paths, not attached remote databases) whose catalog estimate is at most 2,000,000 rows, and never with a short driver timeout. Remote counts (`all` mode) get the remaining budget as their own timeout; every step checks the deadline first. - SQLite is no longer counted: without an index the semi-join is a nested loop. - Subquery sides, CTE names, column alias lists and table samples are skipped rather than rebuilt; equality operands keep their written order; remote identifiers stay unquoted when simple. - Tests: view and over-ceiling tables are skipped and scratch tables survive; local DuckDB file checked; SQLite, `md:` DuckDB and remote skipped in local mode; NULL keys never match. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
…r interrupted Second review found the count could still inherit a session deadline and restart the engine, run on after the budget, read a view that shadows the gated table, and mis-resolve quoted names on remote warehouses. - Only the scratch database and local DuckDB files are checked; remote warehouses are never queried and the `all` mode is removed. `ALTIMATE_SQL_AUTO_CHECK=off` disables the check. - Queries go straight to the connector with no timeout, deadline or abort signal, so the engine is never interrupted. Each side must resolve to exactly one local DuckDB base table of at most 500,000 rows (catalog estimate), with no view of the same name anywhere; a semi-join at that size takes milliseconds even if the budget lapses. - Skips when no warehouse was named, since the query may have run through another adapter. - Tests: shadowing view, explicit-warehouse requirement, flag values. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Independent review found the count ignored the WHERE clause, so a filtered join where every returned row matched still got a loss warning. - WHERE conjuncts that reference only the left or only the right table are applied to that side of the count (rebuilt with DuckDB's own `json_deserialize_sql`). A WHERE with a conjunct spanning both sides, another relation, a bare column or a subquery skips the check. - Remote-path detection reuses the drivers' `isLocalFilePath`, which also covers `ducklake:`, for both the connection path and attached databases. - The size-ceiling test now pairs the large table with an unshadowed one, so it fails if the ceiling is removed; the comment on timeouts states that the connection's own query timeout still applies. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Code Review SummaryStatus: No Issues Found | Recommendation: Merge Files Reviewed (2 files)
Previous Review Summary (commit 26d4d6d)Current summary above is authoritative. Previous snapshots are kept for context only. Previous review (commit 26d4d6d)Status: No Issues Found | Recommendation: Merge Files Reviewed (3 files)
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Review comments at @packages/opencode/src/altimate/tools/sql-join-coverage.ts:
- Around line 253-258: In the join-coverage check, skip processing when kind is
"LEFT" and filters.right is nonempty, before calling smallLocalTable or
sideSource; keep left-side filters eligible. Add a test for the LEFT JOIN
anti-join pattern that expects no advisory result.
- Around line 265-290: Update the join coverage work around `work()` and
`rows()` so its count query cannot continue on the shared cached DuckDB
connector after the budget expires. Run it through an isolated connector that
can be stopped at the deadline, or add cancellation that does not disrupt the
shared session; keep later `sql_execute` calls from queueing behind abandoned
coverage work.
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packages/opencode/src/altimate/tools/sql-execute.tspackages/opencode/src/altimate/tools/sql-join-coverage.tspackages/opencode/test/altimate/tools/sql-join-coverage.test.ts
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| const [parsed] = await rows(connector, `SELECT json_serialize_sql(${literal(sql)}) AS j`) | ||
| // uint64 locations lose precision in JSON.parse; they are not needed. | ||
| const statement = JSON.parse(String(parsed?.j ?? "").replace(/"query_location":\s*\d+/g, '"query_location":0')) |
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Preserve wide numeric literals when round-tripping filters
The serialized SQL AST is parsed into JavaScript numbers and later stringified again by sideSource, but only query_location values are neutralized. A valid filter such as c.id = 9007199254740993 therefore loses precision during JSON.parse, so json_deserialize_sql rebuilds the side with a different literal and the coverage count can inspect the wrong population, suppressing a real warning or emitting a false one. Preserve integer tokens outside JavaScript's safe range or rebuild the side without a lossy JSON round trip.
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| const lint = await lintSqlResult(sql, args.warehouse, ctx.sessionID) | ||
| // altimate_change start — advisory join-coverage note on successful reads; never alters the rows | ||
| const coverage = !mongo && queryType === "read" ? await joinCoverageNote(sql, args.warehouse) : undefined |
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Measure coverage in the result query's snapshot
The coverage probe starts only after Dispatcher.call has returned and the lint pass has completed, then rereads the tables through several independent connector.execute calls. On the session scratch database, which is shared by concurrent subagents and releases its exclusive queue between each execute, another write can commit after the displayed rows were produced but before or during these probes. The warning can therefore describe different table contents from the result it annotates; the read and coverage count need a shared snapshot, or the check should be skipped when that consistency cannot be guaranteed.
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1 issue found across 3 files
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<file name="packages/opencode/src/altimate/tools/sql-join-coverage.ts">
<violation number="1" location="packages/opencode/src/altimate/tools/sql-join-coverage.ts:286">
P2: The 250 ms budget only stops awaiting the check; it does not stop `work()`. A slow probe continues on the shared serialized connector and can block later `sql_execute` calls, so enforce cancellation/isolation or avoid starting further work once the budget expires.</violation>
</file>
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| return lines.length && live() ? lines.join("\n") : undefined | ||
| } | ||
| try { | ||
| return await Promise.race([work().catch(() => undefined), timeout]) |
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P2: The 250 ms budget only stops awaiting the check; it does not stop work(). A slow probe continues on the shared serialized connector and can block later sql_execute calls, so enforce cancellation/isolation or avoid starting further work once the budget expires.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. When an issue isn't valid or won't be fixed in this PR, reply in its thread with the reason and then resolve the thread. At packages/opencode/src/altimate/tools/sql-join-coverage.ts, line 286:
<comment>The 250 ms budget only stops awaiting the check; it does not stop `work()`. A slow probe continues on the shared serialized connector and can block later `sql_execute` calls, so enforce cancellation/isolation or avoid starting further work once the budget expires.</comment>
<file context>
@@ -0,0 +1,290 @@
+ return lines.length && live() ? lines.join("\n") : undefined
+ }
+ try {
+ return await Promise.race([work().catch(() => undefined), timeout])
+ } finally {
+ clearTimeout(timer)
</file context>
…s filtered on the right - Rebuilt WHERE conjuncts may contain only comparisons, BETWEEN, IN lists, IS [NOT] NULL and casts of columns and constants. Function calls (LIKE included), CASE and subqueries skip the check, so the uncancellable count stays a cheap scan bounded by the 500,000-row ceiling. - A LEFT JOIN with a right-side WHERE conjunct is skipped: that filter runs after the join and drops the NULL-extended rows, which a pre-filtered count cannot describe. - Tests for both. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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1 issue found across 2 files (changes from recent commits).
Prompt for AI agents (unresolved issues)
Check if these issues are valid — if so, understand the root cause of each and fix them. When an issue isn't valid or won't be fixed in this PR, reply in its thread with the reason and then resolve the thread. If appropriate, use sub-agents to investigate and fix each issue separately.
<file name="packages/opencode/src/altimate/tools/sql-join-coverage.ts">
<violation number="1" location="packages/opencode/src/altimate/tools/sql-join-coverage.ts:79">
P2: Preserve the original numeric token or skip the coverage check for unsafe numeric constants; `JSON.parse` rounds integers beyond `Number.MAX_SAFE_INTEGER`, so the rebuilt `WHERE` can count a different population.</violation>
</file>
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| if (!expr || typeof expr !== "object" || Array.isArray(expr)) return undefined | ||
| if (!SIMPLE_CLASSES.has(expr.class)) return undefined | ||
| if (expr.class === "OPERATOR" && !SIMPLE_OPERATORS.has(expr.type)) return undefined | ||
| if (expr.class === "CONSTANT") return out |
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P2: Preserve the original numeric token or skip the coverage check for unsafe numeric constants; JSON.parse rounds integers beyond Number.MAX_SAFE_INTEGER, so the rebuilt WHERE can count a different population.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. When an issue isn't valid or won't be fixed in this PR, reply in its thread with the reason and then resolve the thread. At packages/opencode/src/altimate/tools/sql-join-coverage.ts, line 79:
<comment>Preserve the original numeric token or skip the coverage check for unsafe numeric constants; `JSON.parse` rounds integers beyond `Number.MAX_SAFE_INTEGER`, so the rebuilt `WHERE` can count a different population.</comment>
<file context>
@@ -56,20 +56,35 @@ const STAR = {
+ if (!expr || typeof expr !== "object" || Array.isArray(expr)) return undefined
+ if (!SIMPLE_CLASSES.has(expr.class)) return undefined
+ if (expr.class === "OPERATOR" && !SIMPLE_OPERATORS.has(expr.type)) return undefined
+ if (expr.class === "CONSTANT") return out
if (expr.class === "COLUMN_REF") {
if (expr.column_names?.length !== 2) return undefined
</file context>
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| const effect = | ||
| kind === "LEFT" ? "they stay as unmatched rows with NULL right columns" : "the inner join drops them" |
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Model downstream filtering before claiming LEFT JOIN retention
When a LEFT JOIN feeds a later filter such as GROUP BY c.id HAVING COUNT(f.id) > 0, or is nested beneath an INNER JOIN whose condition uses right-side columns, the unmatched left rows are absent from the final result. This branch nevertheless says they stay as NULL-extended rows because only WHERE is inspected and tableJoins also accepts nested joins; skip these LEFT joins or account for HAVING, QUALIFY, and parent-join semantics before emitting this retention claim.
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Holding further fixes on this PR. The open findings (LEFT JOIN retention under HAVING/QUALIFY/parent joins, the count continuing past the budget on the shared connector, snapshot consistency, and wide numeric literals) share one root cause: running extra probe queries inside every Rather than add more guards, the plan is to simplify: if an in-flight evaluation shows the note changes agent behavior, the check moves to run once on the final query at commit time (nothing runs after it, so it cannot block later queries or drift from the displayed snapshot) and reports only inner-join loss. If it shows no effect, this PR will be closed. The threads stay open until then. |
|
Closing. An evaluation of this exact version showed the note never fired on the case it targets: agents wrote join keys unqualified ( |
Issue for this PR
Closes #
N/A:
featchange; no linked issue required.Type of change
What does this PR do?
Why. An analyst agent can join a population table to a fact table, silently keep a small fraction of the population, and report the result as fact. In real agent sessions a join kept 23 of 513 entities and the agent stated the 23 without questioning it. The existing
sql_check keys/fanoutchecks can measure this, but agents almost never callsql_check, so the signal has to appear on thesql_executeresult they already read.What changed (before → after). After a successful
sql_executeread:join cohort → facts on MemberId = MemberId: WARNING coverage loss: 6 of 8 left rows (75.0%) have no match; the inner join drops them. Before reporting results over the joined rows, confirm this loss is expected ... or look for a different key, column or source .... Healthy joins add nothing. Metadata getsjoin_coverage_warning: truewhen it fires.How it works (
src/altimate/tools/sql-join-coverage.ts):json_serialize_sql); considers at most twoINNER/LEFTjoins whose inputs are both plain base tables joined only by column equalities.BETWEEN,INlists,IS [NOT] NULL, casts of columns and constants); a conjunct with a function call (LIKEincluded),CASEor subquery, or one spanning both sides, another table or a bare column, skips the check. A LEFT JOIN with a right-side WHERE conjunct is skipped, since that filter drops the NULL-extended rows after the join. Subquery sides, CTE names, column alias lists and samples are skipped, not rebuilt.md:,motherduck:,ducklake:, URLs) are never queried.ALTIMATE_SQL_AUTO_CHECK=off(or0/false) disables it; default on.Deployment readiness. Self-contained; no config, data or migration.
User impact. Analyst and other
sql_executeusers on scratch/local DuckDB see an extra advisory line only on joins that drop over half of their left rows.How did you verify your code works?
bun run typecheck: clean.test/altimate/tools/sql-join-coverage.test.ts(12 tests, real DuckDB scratch, a local DuckDB file and SQLite): low coverage note with counts; exact 50% threshold silent; NULL keys never match; LEFT JOIN wording; multi-key and reversed operands; WHERE filters on the left, right and both sides (comparisons, BETWEEN, IN, IS NOT NULL), and unsplittable or function-bearing WHERE (LIKE,lower(), OR, subquery) skipped; LEFT JOIN with a right-side WHERE skipped; non-equality, OR, USING, bare columns, subquery sides, CTE names, column alias lists and parse errors silent; views, a view shadowing a table name, and tables over the ceiling skipped (the ceiling test fails if the ceiling is removed) with scratch state intact; local DuckDB file checked; SQLite,md:DuckDB and Postgres skipped; missing warehouse and missing tables return nothing; and throughSqlExecuteToolthe note reaches output and metadata only on low coverage, with identical rows when the flag is off.sql_execute: 568 tests pass acrosssql-execute,sql-execute-query-from,scratch-sessions,precedence-guard-order,sql-tool-cancellation,warehouse-failure-visibility,sql-materialize(-concurrency),sql-validation-adversarial,sql-comment-safety,sql-result-lint,sql-check,tool-schema-anthropic,feature-discovery-e2e,tracing-bigintand the new suite.script/upstream/analyze.ts --markers --base main --strict: ok.0681ee5486,9d224a97fe) found engine-restart, deadline, remote-DuckDB, view-shadowing and identifier issues, all addressed (the design was narrowed to local DuckDB base tables, never interrupted). Codex then ran out of credits; the framework's independent Claude review ofcf12a3facffound the WHERE-filter issue (fixed in26d4d6d922) and three low items (fixed). Bot findings since (LEFT JOIN right-side filters; bounding work that outlives the budget) are fixed in070b58de04.Cost side effects
One extra counting query per eligible join (at most two per
sql_executecall), only on the local scratch database or local DuckDB files and only when both tables are at most 500,000 rows; it never runs against billed warehouses. No model calls. Disable withALTIMATE_SQL_AUTO_CHECK=off.Screenshots / recordings
Not a UI change.
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