perf(ddx-ad): plan each CTE an objective reads more than once on its own by alxmrs · Pull Request #168 · xqlsystems/ddx

alxmrs · 2026-10-19T16:43:46Z

Part of #19 (the tape: share relations instead of copying them), PR 3 of 4 in the approved sketch. On by default, as agreed on the issue.

Why. Engines inline a CTE at every read, and Substrait plans are trees. A model's layers read each other twice (residual connections, layer norms), so its plan grows exponentially with depth:

a GPT's loss holds 1,050 copies of about 25 aggregates;
GraphCast's plan grows 2.7× per round of message passing, over 16 rounds.

#165–#167 let ddx read a plan that shares relations through ReferenceRel. No engine's producer writes one, so ddx_ad::rewrite now builds it.

How (crates/ddx-ad/src/sql/share.rs):

split counts how many copies of each CTE the engine would plan. Each CTE copied more than once becomes a piece, which reads earlier pieces through placeholder tables ({namespace}cte_{k}). The query itself is the last piece.
Each placeholder is materialized from the engine's plan of its piece with LIMIT 0. DataFusion optimizes that to an empty relation, so no new Backend method is needed.
The cache key (perf(ddx-ad): keep the SQL surface's programs between calls #164, which keeps programs between calls) is every piece's plan_key. On a miss, stitch joins the pieces' plans. Each placeholder read becomes a ReferenceRel and keeps any filter or projection pushed into it.
The placeholders are dropped afterwards, even on error.

Left to the engine, when splitting could change what a read means:

the CTEs of a WITH RECURSIVE;
a CTE read inside an expression's subquery, where ddx refuses a reference;
a CTE whose name a nested WITH defines again;
a CTE read under two spellings (a and "A").

If the split fails, the query is planned whole, as before. At worst it is slower; it doesn't break.

Trade-off. The engine can no longer optimize across pieces. It can't push a reader's filter into a shared CTE, and it can't prune a column that only some readers use. A filter on a gradient's dims still applies, because that filter is planned against the gradient table.

Fixed in review. Placeholder names are fresh on every call, so the cache never hit. The key now writes the namespace as one fixed name. a_split_objective_s_program_is_kept_between_calls covers this.

CodeRabbit found three more:

A CTE read only inside a subquery was dropped from the WITH, so the engine could read a table of the same name instead. Every read now counts, and whatever such a CTE reads is left to the engine too.
stitch missed placeholders whose names were schema-qualified. It now matches by the last part of the name, and refuses a plan that still reads a placeholder anywhere, so the query is planned whole.
A read of "A" was counted against a CTE a, so a CTE named "A" could be dropped from the WITH. A read now counts against every CTE whose name matches but for case. It becomes a reference only when exactly one CTE matches and is spelled the same.

Tests. The new tests/sql_shared_ctes.rs records what the backend plans:

A three-layer chain gives the same gradient as the written-out program. No optimized query holds more than one layer, and every placeholder is dropped.
A thirty-layer chain, 2^30 copies when written out, differentiates in about a second.
A CTE read only once is left to the engine.

Unit tests in share.rs cover copy counting, each case left to the engine, and the exact SQL of each piece. The existing SQL suites pass unchanged.

Clippy is clean. The full ddx-datafusion suite ran out of memory locally, so CI runs it. ddxdb's Python tests pass, run with #169 applied.

Docs. Design §4.8 and the SQL module's "How it runs" section are updated. The decision-log entry is still to come; #152 (the DuckDB plan, now merged) took S21–S23.

Next. #169 writes views out as CTEs.

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Summary by CodeRabbit

Performance
- Queries with CTEs read multiple times can avoid repeatedly expanding and planning those CTEs, potentially reducing work for complex queries.
- CTEs are split only when safe; queries that cannot be split safely, or encounter an issue during splitting, continue to be planned as a whole.
- Splitting may limit filter pushdown and column pruning across CTEs.
Documentation
- Updated design documentation to describe CTE handling and its potential impact on query optimization.

coderabbitai · 2026-10-19T16:51:46Z

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crates/ddx-ad/src/sql/share.rs

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📝 Walkthrough

SQL derivative rewriting now splits eligible multiply-read CTEs into separate planning pieces and stitches their plans into programs. Rewritten queries are retained as trees. Unsafe splits and split-planning failures use whole-query planning.

Changes: Shared CTE Planning

Layer / File(s)	Summary
Retain rewritten query trees `crates/ddx-ad/src/sql/plan.rs`, `crates/ddx-ad/src/sql/rewrite.rs`, `crates/ddx-ad/src/sql/tests.rs`	Derivative planning now retains optional query trees. Rewriting returns a `Query` tree, which callers render as SQL where needed.
Split and stitch CTE plans `crates/ddx-ad/src/sql/share.rs`, `crates/ddx-ad/src/compose.rs`, `crates/ddx-ad/src/forward.rs`	The sharing logic selects safe multiply-read CTEs, generates piece SQL and placeholders, and stitches planned relations by replacing placeholder reads with references.
Integrate split planning into program creation `crates/ddx-ad/src/sql/cache.rs`, `crates/ddx-ad/src/sql/mod.rs`, `crates/ddx-datafusion/tests/sql_shared_ctes.rs`, `docs/design.md`	Program creation plans split pieces or falls back to whole-query planning. Cache keys include the planned queries, and placeholder tables are dropped after processing. Integration tests cover gradients, placeholder cleanup, single-read CTEs, and repeated rewrites.

Priority: ➖ Normal

Estimated code review effort: 4 (Complex) | ~45 minutes

Change: Refactor

Sequence Diagram(s)

sequenceDiagram
  participant Derivatives
  participant run_all
  participant Backend
  participant stitch
  participant build
  Derivatives->>run_all: provide Job with rewritten query tree
  run_all->>Backend: plan CTE pieces and root query
  run_all->>stitch: combine piece plans with references
  stitch-->>run_all: return combined plan
  run_all->>build: build program from plan

Merge Risk: ⚪ Minimal · up to fde62

The previously reported name-resolution risk is addressed. No actionable merge-blocking issue remains from this review.

Security architecture risk: 🔵 Low · up to fde62

The new planning path conservatively handles ambiguous SQL names and preserves filters and projections. A limited cleanup concern remains: interrupted planning or failed cleanup can leave temporary tables behind. No new authorization bypass was established.

Retained concerns

Low · reliability · observed: Split-planning placeholders lose recovery ownership when cleanup cannot complete. A processing failure masks any drop failure, after which whole-query fallback may succeed with placeholders still registered and absent from Rewritten::tables. Cancellation also bypasses their local cleanup, extending the pre-existing cancellation limitation to planning resources. Repetition can retain backend catalog and memory resources; the demonstrated concern is failure containment, not an authorization bypass.

Security review details

Security Blast Radius

inferred — For the inspected DataFusion backend, retained placeholders occupy the supplied session context as in-memory tables intended to contain no rows. Repeated incomplete cleanup can therefore affect that context's resource availability. Cross-tenant, persistent-store, or environment-wide exposure depends on deployment and other backend behavior not supplied here.

Trust Boundaries and Controls

observed — Replacement requires an unambiguous one-part CTE match. Recursive WITH queries, shadowed names, ambiguous spellings, and expression-subquery reads are excluded from splitting as applicable. Stitching preserves read filters and projected outputs, rejects unsupported read extensions, and refuses residual placeholder reads rather than allowing the final program to consume them.

Resilience and Maintainability Implications

observed — Resource recovery remains best-effort. Failed placeholder drops are not transferred to the returned release ledger, and processing errors mask cleanup errors before fallback. The documented cancellation limitation predates this PR, but now also applies during placeholder planning before program execution.

Hardening Proposals

proposed — Give temporary planning tables a recoverable lifecycle owner that survives failed cleanup, preserve cleanup failures alongside processing failures, and define cancellation recovery through an explicit session cleanup or retry mechanism. These measures would strengthen resource containment without changing SQL authorization semantics.

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Failed checks: 1 warning

Check name	Status	Explanation	Resolution
Docstring Coverage		Docstring coverage is 70.97% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 62 functions across 9 files.	Write docstrings for the functions missing them to satisfy the coverage threshold.

Passed checks: 4 passed

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Description Check		Check skipped - CodeRabbit’s high-level summary is enabled.
Title check		The title clearly and concisely describes the main change: planning multiply-read CTEs separately for performance.
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.

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An engine inlines a CTE at every read, so an objective whose CTEs read one another twice (a model's layers) reached the engine's optimizer and ddx at a size exponential in its depth. rewrite now splits such a query: each CTE the engine would copy is planned alone, in order, reading those before it as empty placeholder tables made from its plan with LIMIT 0, and the plans are stitched into one that reads each through a ReferenceRel, which reverse and forward mode lower once. The cache key is every piece's plan_key. A CTE whose split could change what a read means (a recursive WITH, one read inside an expression's subquery, one defined again by a nested WITH, one read under another spelling) is left to the engine, and if the split fails, the query is planned whole as before. A thirty-layer chain, 2^30 copies written out, is differentiated from SQL in about a second. Part of #19. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CvszJhH8pn8H9G69wEPMU2

A split names its placeholders under a namespace fresh to the call, so calls that overlap make tables of their own; but the names reached the cache key, in the pieces' SQL and the engine's keys of them, so no call ever found the last one's program, and each kept one that could never be found again. The key now writes the fresh namespace as one name. (Found by a /code-review pass.) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CvszJhH8pn8H9G69wEPMU2

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Actionable comments posted: 2

🪄 Fix comments: Fix CodeRabbit comments on this PR

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Inline comments:
Review comments at @crates/ddx-ad/src/sql/share.rs:
- Around line 250-260: Update pre_visit_relation to count every CTE name match,
including unsafe reads, so with_of retains CTEs referenced by the scope. In
split, before computing shared CTEs, propagate unsafe status from each unsafe
CTE to every CTE it reads, including transitively; add share::tests coverage for
an unsafe CTE that reads an otherwise-shared CTE.
- Around line 361-369: Update placeholder in stitch to match NamedTable reads
using the final component of t.names, so qualified split placeholders resolve to
their ordinals. Preserve None for empty names or unmatched components.

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crates/ddx-ad/src/compose.rs
crates/ddx-ad/src/sql/cache.rs
crates/ddx-ad/src/sql/mod.rs
crates/ddx-ad/src/sql/plan.rs
crates/ddx-ad/src/sql/rewrite.rs
crates/ddx-ad/src/sql/share.rs
crates/ddx-ad/src/sql/tests.rs
crates/ddx-datafusion/tests/sql_shared_ctes.rs
docs/design.md

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alxmrs

LGTM

A CTE read only where it might be misread (inside an expression's subquery, or under another spelling) was not counted, so the split dropped it from the WITH while the query still read it by name: the engine then read a table of that name, if any. Every read now counts, and what such a CTE reads is left to the engine too, since it is inlined where a placeholder read cannot become a reference. `stitch` now matches a placeholder by its name's last part, and refuses a plan that still reads a placeholder anywhere, subqueries included, so the query is planned whole instead of failing at run time. Found by CodeRabbit on #168. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012NE18ox5ivwTc7ZSbHZUGu

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⚠️ Outside diff range comments (1)

🟠 Major · Match the resolved CTE before counting its read. · share.rs:295

crates/ddx-ad/src/sql/share.rs:295
🗄️ Data Integrity & Integration | 🟠 Major | ⚡ Quick win

Match the resolved CTE before counting its read.

DataFusion 54.1.0 normalizes unquoted a to a and preserves quoted "A" as A. In WITH a AS (...), "A" AS (...), c AS (...) SELECT * FROM c, c, "A", cte_of still selects the first case-insensitive match, so the "A" read counts against a. The generated root can omit "A" and resolve it to a catalog table instead. The root plan then succeeds, so whole-query fallback does not run.
Suggested fix
     let k = ctes
         .iter()
-        .position(|c| c.alias.name.value.eq_ignore_ascii_case(&id.value))?;
+        .position(|c| same_spelling(id, &c.alias.name))
+        .or_else(|| {
+            ctes.iter().position(|c| {
+                c.alias.name.value.eq_ignore_ascii_case(&id.value)
+            })
+        })?;
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Review comment at @crates/ddx-ad/src/sql/share.rs at line 295:
Update the CTE selection in cte_of to prefer an exact spelling match between id
and c.alias.name before using the existing case-insensitive fallback, so quoted
identifiers resolve to their matching CTE.

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only still-valid issues, skip the rest with a brief reason, keep changes
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Outside diff comments:
Review comments at @crates/ddx-ad/src/sql/share.rs:
- Line 295: Update the CTE selection in cte_of to prefer an exact spelling match
between id and c.alias.name before using the existing case-insensitive fallback,
so quoted identifiers resolve to their matching CTE.

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A read matched the first CTE whose name equals it but for case. With `WITH a AS (...), "A" AS (...)`, a read of `"A"` counted against `a`, so the split dropped `"A"` from the WITH and the root read a table of that name, if any. A read now counts against every CTE it may be of, and is safe to replace only when it may be of exactly one, spelled the same. Engines differ on how case and quotes resolve, so this does not try to pick the one an engine would. Found by CodeRabbit on #168. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CvszJhH8pn8H9G69wEPMU2

alxmrs · 2026-10-19T23:19:13Z

@coderabbitai Re the outside-diff finding at share.rs:295 (match the resolved CTE before counting its read): confirmed, and fixed in fde629e.

Rather than prefer an exact spelling, a read now counts against every CTE its name may be of. So both a and "A" stay in the WITH. A read is replaced by a placeholder only when it may be of exactly one CTE, spelled the same. Engines differ on how case and quotes resolve, so the split doesn't try to pick the one an engine would. It leaves the ambiguous case to the engine.

The test a_cte_read_only_where_it_might_be_misread_stays_in_the_with now covers your example. It fails without the fix.

coderabbitai · 2026-10-19T23:19:47Z

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#!/bin/bash
fd '^share\.rs$'
ast-grep outline crates/ddx-ad/src/sql/share.rs --items all
rg -n -C 22 'a_cte_read_only_where_it_might_be_misread_stays_in_the_with|fn count|fn.*read|may_be|candidates|matches' crates/ddx-ad/src/sql/share.rs
git show --stat --oneline fde629e

Length of output: 16411

@alxmrs Thanks for the clarification. I checked the implementation and regression test in crates/ddx-ad/src/sql/share.rs.

The fix addresses the finding without choosing an engine’s name-resolution rules. Each read counts against every candidate CTE. Placeholder replacement requires exactly one candidate with matching spelling. The regression test checks that both a and "A" remain in the WITH.

I did not run the tests.

✏️ Learnings added

Learnt from: alxmrs
URL: https://github.com/xqlsystems/ddx/pull/168

Timestamp: 2026-10-19T23:19:44.098Z
Learning: In the Rust CTE splitter in crates/ddx-ad/src/sql/share.rs, SQL engines can resolve case and quoted identifiers differently. Count each relation read against every CTE its name may refer to, rather than preferring an exact spelling. Replace a read with a placeholder only when exactly one candidate CTE exists and same_spelling accepts it. Keep ambiguous candidates in the WITH clause and leave name resolution to the engine.

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A loss may read a view whose layers read each other more than once, as xarray-sql's GPT model does (`CREATE VIEW logits AS WITH x0 AS (...) ...`). #168 plans each CTE an objective reads more than once on its own, but can't see a view's CTEs. Now a backend may give a view's SQL (`Backend::view_sql`, optional), and sql/views.rs writes each view the objective reads into it as CTEs before #168 splits it: the view's CTEs renamed `__ddx_view_{k}_{i}_{name}`, its query as `__ddx_view_{k}`, and the views it reads ahead of it. ddx-datafusion gives a `ViewTable`'s definition; ddxdb reads `information_schema.views`, resolving names with the session's catalog, schema and case rules, and warns when the information schema is off. Both give a view's SQL only while its query, read in its place (`ddx_ad::view_probe`), plans as the view DataFusion kept: a view over a redefined view is left to the engine. A view is also left to the engine if it has no SQL, doesn't parse, has recursive or redefined CTEs, or reads names alike but for case; and so is an objective whose reads could be shadowed by a generated name. A renamed read keeps its old name as an alias, so columns qualified by it still resolve (a fix shared with #168's placeholders). Part of #19. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CvszJhH8pn8H9G69wEPMU2

ddxdb 0.3.3 keeps each gradient program between calls (xqlsystems/ddx#164), plans each CTE an objective reads twice on its own (xqlsystems/ddx#168), and differentiates attention's masked product as jax.grad does (xqlsystems/ddx#162). Alternating runs with 0.3.2 on DataFusion: - GPT training step, SGD: 2.8 s -> 1.2 s (first step 2.0 s) - GPT training step, AdamW: 3.2 s -> 1.55 s - attention gradient at 512 tokens: 2.8 s -> 1.1 s (window), 2.7 s -> 1.3 s (GROUP BY) Every check against JAX still passes. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NyN7idACeDMh94qrnFMu6h

alxmrs force-pushed the perf/19-dag-forward branch from 45a6d12 to b82d4c1 Compare October 19, 2026 17:09

alxmrs force-pushed the perf/19-sql-shared-ctes branch from 9243cff to bc2dc85 Compare October 19, 2026 17:09

alxmrs mentioned this pull request Oct 19, 2026

perf(ddx-ad): write the views an objective reads as its CTEs #169

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alxmrs force-pushed the perf/19-dag-forward branch from b82d4c1 to 97aca8d Compare October 19, 2026 17:45

alxmrs force-pushed the perf/19-sql-shared-ctes branch 4 times, most recently from 0550111 to 46e727a Compare October 19, 2026 19:19

Base automatically changed from perf/19-dag-forward to main October 19, 2026 19:38

alxmrs and others added 2 commits October 19, 2026 12:38

alxmrs force-pushed the perf/19-sql-shared-ctes branch from 46e727a to 51d3c94 Compare October 19, 2026 19:38

alxmrs marked this pull request as ready for review October 19, 2026 19:41

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Comment thread crates/ddx-ad/src/sql/share.rs Resolved

Comment thread crates/ddx-ad/src/sql/share.rs Resolved

alxmrs mentioned this pull request Oct 19, 2026

perf(ddx-ad): push readers' filters and columns into shared CTEs #170

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alxmrs merged commit 4c04fa0 into main Oct 19, 2026
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alxmrs deleted the perf/19-sql-shared-ctes branch October 19, 2026 23:40

github-actions Bot mentioned this pull request Oct 19, 2026

chore: release v0.2.3 #163

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alxmrs mentioned this pull request Oct 20, 2026

test(ddx-datafusion): fuzz the SQL surface's fast paths #173

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alxmrs mentioned this pull request Oct 21, 2026

rewrite: a cached program still optimizes each shared CTE's placeholder (15% of a cached GPT step) #184

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alxmrs mentioned this pull request Oct 29, 2026

plan_sql: DataFusion optimizes the whole CTE-inlined objective before ddx differentiates it #156

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perf(ddx-ad): plan each CTE an objective reads more than once on its own - #168

perf(ddx-ad): plan each CTE an objective reads more than once on its own#168
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