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Expand the QuerySpec placeholder in core::workload into a full struct
(id, query+language, time_range, accuracy/latency/dollars SLAs, optional
deployment_model routing hint), plus supporting QueryLanguage and
AccuracyTarget enums.
Add a second end-to-end example walking three related PromQL queries
through L3 (workload-level CSE producing fan-in), L4 (MergeKllSketches
collapsing two quantile sketches onto one KLL state), and L5 (colored
multi-root DAG emission). Introduce WorkloadPlan { bindings, roots } as
the workload-level multi-root container so QueryExpr stays single-root
and cross-query fan-in lives one level above per-query IR.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
zzylol
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May 5, 2026 21:35
Add `shape: QueryShape` (OneShot / Streaming / Periodic{every}) for how
a query is evaluated, and `data: DataShape` (Batch / AppendOnlyStream /
Mutable / Mixed) for the data feeding it. Document the planner's
acceptance matrix across the cross-product (e.g. Streaming over Batch
is rejected at L1; Mutable disables sketch binding pending
retraction-aware operators).
Note that per-leaf data shape rides on Source at L3; the QuerySpec
field is a workload-level summary, with Mixed deferring to per-leaf
detail during L4.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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May 27, 2026
…#2, #3) Locks behavior introduced by the recent fixes, +5 tests (125→130): - promql_conformance: nested unary negation propagates rejection (`a - -b`, `sum(-x)`), not just top-level; and count→Cardinality threads the AccuracyTarget (Exact stays exact, Epsilon carried) — pins review #2. - sql_lowering: a qualified WHERE on the *duplicated* join column (`WHERE hosts.service = ...`) binds to the qualified position (4), not the first `service` (1) — extends the #7 disambiguation past the join key. - error.rs: `UnsupportedFeature` Display is language-neutral (no "PromQL") — pins the #3 fix without depending on DataFusion plan shapes. - schema.rs: `Column.table` deserializes to `None` when the key is absent (the `#[serde(default)]` backward-compat contract), and a qualified column round-trips. Full workspace green (130 tests), clippy -D warnings + fmt clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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#2, scalar) The two scalar IRs were byte-identical 13-variant enums differing only in the column-reference type, with duplicated `conjuncts`/`disjuncts`/`columns_referenced` — maintained twice. Collapse them into a single `Expr<C>`: - `type L2Expr = Expr<ColumnRef>` (name-based, front-end-emitted) - `type L3Expr = Expr<ColumnId>` (positional, resolved) The helpers are now one generic `impl<C> Expr<C>` (`columns_referenced` returns `Vec<&C>`, unifying the L2 `&ColumnRef` and L3 owned-`ColumnId` variants — the sole caller is the L2 Binder). Because the aliases preserve variant construction/pattern syntax (`L2Expr::Compare { .. }` etc.), every front end, the converter's `resolve_expr` map, and all tests compile unchanged. This is the clean, low-risk half of the QueryExpr<C> parameterization the review recommended starting with. No behavior change. Full suite green (133), clippy + fmt clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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…yer diagrams - Filled in the "implementation refers to [TODO]" placeholder in L4. - Moved Bind (name resolution) into L2's own bullets and canonicalize (cross-language shape unification) into L3's own bullets, instead of a separate transition section — Bind is why L2 stays "per-language" even though both front ends share one Rust type; canonicalize is where cross-language convergence actually happens (issue #34). - Added a Mermaid diagram to each L1-L5 section showing its actual data flow, verified against the real code paths. - Fixed the Glossary's "Bind" lookup table to point at sections that still exist, and marked Implementation/implement_tree/Match/Bind #2 as currently undocumented in this file (their old transition-section homes were removed) rather than leaving dangling links.
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Closing as stale. |
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#251, part of #33) ## Why `asap-aware-mapping`'s output boundary is `PlanSpace` — every candidate `TargetSubDAG` replacement plus its cost, meant for a downstream DAG-visualization consumer. It does not own "commit to one final, physically-materialized, shared post-ASAP DAG for a whole workload" — that's a downstream deployment's job (picking *which* sketch and *where* to place it are a joint decision only a deployment can see the full picture for; this crate pre-deciding one in isolation, with no real consumer of that single materialized answer inside this crate, is out of scope). `bind.rs`'s `implement_workload`/`implement_workload_with` (keep first/cost-preferred candidate per node, memoized by `Rc` identity across roots so pre-ASAP CSE sharing survives into a single physical binding) was exactly that out-of-scope "commit to one answer" step, so it's deleted. ## What 1. Deleted `bind.rs` entirely (no replacement file, no rename). Removed `pub mod bind;` and its re-exports from `lib.rs`. `ImplementError` moved into `replacement.rs` (`pub`, since it's part of what a `ReplacementStrategy` implementor's construction path can realistically fail with) — still needed by `realize_child`/`keep_pre_asap`/the child-recursion path. `bind.rs`'s own test suite (16 tests exercising `select_and_bind`'s/`construct_summary_agg`'s schema-derivation behavior across various `AggIntent` shapes) moved into `replacement.rs`'s existing test module, adapted to call `realize_child` directly — this crate's own production logic, not `bind.rs`'s deleted orchestration. The one test specific to `implement_workload_with`'s CSE-decline memoization behavior has no equivalent left to test and was dropped (that comparison is already covered by `cost_sorted_orders_shared_subtree_candidates_by_cse_share_decision` and `cost_model.rs`'s own `cse_share_decision` tests). Rewrote `lib.rs`'s `## Status` section: two capabilities — `replacement::ReplacementStrategy` (per-target, exhaustive) and `replacement::search_workload`/`PlanSpace::cost_sorted` (workload-wide, every candidate + cost) — plus an explicit statement that picking/ materializing one final answer is a downstream deployment's job. Rewrote the `## Terminology` table: dropped the `implement_workload` row; the `Bind #2` (downstream placement) row now also covers "which candidate to commit to", since that's where the deleted step's behavior would live if a deployment still wants it. 2. Renamed the `pub(crate)` single-target rank-and-take-first helper `select_and_bind` → `realize_child` (word "bind" is retired from this crate's vocabulary — see `lib.rs`'s Terminology section). Also renamed its sibling `bind_one` (the representative-node helper `cse_preference` uses for a `CostModel::cse_share_decision` comparison) → `realize_one` for the same reason. Updated every call site and doc comment; behavior unchanged (rank via `SketchFamilyStrategy`, take first, `Rewrite` is unreachable, `None` falls back to `keep_pre_asap`). 3. Renamed "site" → "target"/`TargetSubDAG` throughout the merged search-engine content in `replacement.rs`: `discover_sites` → `discover_targets`, `discover_new_descendant_sites` → `discover_new_descendant_targets`, local variables/doc prose (`MemoGroup`'s "one distinct site", the "Where 'for site in plan.bindable_sites()' comes from" section heading, `PlanSpace`/ dedup/termination prose). The quoted historical pseudocode block itself (`for site in plan.bindable_sites()`) stays verbatim, framed explicitly as a quote. (This item was landed independently by a concurrent session as commit c562f3c while this work was in progress on the same shared branch — reconciled here via `git reset --hard origin/...` + manual reapply per the shared-branch protocol; this commit only carries items 1/2/4/5 on top of it.) 4. Rewrote `crates/integration-tests/tests/cse.rs`: it called the now- deleted `implement_workload` and asserted two bound `SummaryNode`s were `Rc::ptr_eq` — a workload-level "one materialized answer" claim that no longer has an API to make. Rewrote its three tests to call `replacement::search_workload` and assert on the resulting `PlanSpace` instead: the shared subtree collapses onto one `MemoGroup`/one shared `Rc<QueryExpr>`, mirroring `replacement.rs`'s own `shared_aggregate_across_two_roots_gets_both_strategies_candidates` test through the crate's public API. 5. Fixed every other `asap_aware_mapping::bind::*` import (devtools' `show_post_asap_ir`, `frontend-promql`'s corpus test, `integration-tests`' `l4_binding`/`l4_binding_sql`) to `asap_aware_mapping::replacement::*`, and updated stale doc references in `asap-types::pre_asap::cse`/`mod.rs` that pointed at `asap_aware_mapping::implement_workload`/`bind::implement_workload_with`. ## Verification $ cargo build --workspace --all-targets && cargo test --workspace \ && cargo fmt --all -- --check \ && cargo clippy --workspace --all-targets --all-features -- -D warnings (all clean; asap-aware-mapping: 68 passed, 0 failed; cse.rs: 3 passed) Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Restructure the flat 19-section developer guide into the three-part structure the doc owner asked for: Part 1 - Code Architecture, Part 2 - Interfaces and Definitions, Part 3 - How to Add X, Y, Z (each ending in how to verify). Content is moved, not rewritten: Part 1 (Mental model first, per doc-owner follow-up, then a new whole-PR architecture diagram, then "How the current pieces fit together"): - old #1 Mental model -> Part 1 #1 - new: whole-PR architecture diagram (TargetSubDAG's two entry points through ReplacementStrategy, PlanSpace/cost_sorted, explanation.rs, to a downstream consumer) -> Part 1 #2 - old #3 How the current pieces fit together -> Part 1 #3 Part 2: - old Terminology's "Implementation" definition merged into the Glossary as one more entry (### Implementation), next to ReplacementStrategy - old #2 Glossary -> Part 2 #1 (plus the merged Implementation entry and old #10 Matcher, retitled to match glossary-entry style) - old #10 Matcher (implementation.rs) -> ### Matcher inside the Glossary; implementation.rs no longer exists, so the stale title is fixed - old #19's definitional content (ReplacementExplanation/ ExplanationKind shapes, node_hash, why there's no ExplanationRule trait, location-text ownership) -> Part 2 #2 Part 3: - old #4, #5, #6, #7, #13, #14 -> Part 3 #1, Adding a new ReplacementStrategy (ending in Testing a new strategy) - old #8, #9, #15 -> Part 3 #2, Adding or customizing a CostModel (ending in Testing a new cost model) - old #12 -> Part 3 #3, Adding a new sketch algorithm, with its stale implementation.rs/binder references fixed to replacement.rs/ construct_summary vocabulary, plus a new "Verifying a new sketch algorithm" close grounded in the existing coverage-matrix tests - old #11, #16, #17, #18 -> Part 3 #4-#7 (capstone + closing reference material); #18's extension-map table's implementation.rs row fixed to replacement.rs - old #19's "Using it"/"Adding a new kind" content -> Part 3 #8, Using and extending explanation.rs cargo build --workspace --all-targets is clean (docs-only change). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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… directly The identical-expression rule tried all 2^g subsets of the sharing groups and dropped those that repeat a candidate. With nested groups most subsets repeat (14 groups: 16 384 subsets for 130 candidates). Sharing a set of groups also shares the groups it leaves as one node; that closure maps each subset to its candidate, and the distinct candidates are its closed sets. They are now enumerated directly (Next Closure: one closure per step and group), then put in the same binary-counter order, so the output is unchanged. Twenty nested groups give their 20 candidates quickly; a brute-force test checks the same candidates on small cases. Sharing groups are computed once per candidate, and a Pass 2 candidate names its shared groups by kind and number (Scan #1, TimeRange #2), so repeated kinds stay distinguishable. The viewer fixtures are regenerated.
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… directly The identical-expression rule tried all 2^g subsets of the sharing groups and dropped those that repeat a candidate. With nested groups most subsets repeat (14 groups: 16 384 subsets for 130 candidates). Sharing a set of groups also shares the groups it leaves as one node; that closure maps each subset to its candidate, and the distinct candidates are its closed sets. They are now enumerated directly (Next Closure: one closure per step and group), then put in the same binary-counter order, so the output is unchanged. Twenty nested groups give their 20 candidates quickly; a brute-force test checks the same candidates on small cases. Sharing groups are computed once per candidate, and a Pass 2 candidate names its shared groups by kind and number (Scan #1, TimeRange #2), so repeated kinds stay distinguishable. The viewer fixtures are regenerated.
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…-expression top-k heaps, counter-sample weights, per-second plan-selection cost (#692) fix(logical-asap-optimization): weight Top-K heap sketches by the ranked value Pass 1's Top-K sketch update weighted every heap by the sample value. Over SQL rows that column is the one named `value`, or else the only numeric column: an Int64 key made the heap candidates fail to compose, and a key named `value` would have weighted the heap by the key. The update now reads the column the top-k ranks (the aggregate's measure over grouped rows, the sample value over per-series rows), the same column exact top-k sorts by. `ranked_column` moves from Stage 2 into the shared realization helpers so both stages use it. feat(logical-asap-optimization): Pass 2 identical-expression rule as Stage 3 candidates Stage 1 Pass 2 now applies the identical-expression rule of Algorithm 2. For each composed Pass 1 candidate it finds the sharing groups (two or more nodes with identical input and computation semantics that are legal to share) and adds one candidate per non-empty subset of the groups, keeping the independent candidate. A subset that leaves out a group that the other shared groups already merge gives the same candidate as the larger subset, so it is listed once. Nothing is capped. The variants are ordinary candidates for Stage 2 and Stage 3. PromQL rows that carry the full series identity now declare (identity, timestamp) as a unique key, which makes scans and range selectors legal to share. Plan selection treats totals that differ only by floating-point rounding as a tie and keeps the earlier candidate. A shared NotMaterialized input is charged once per consumer, so it ties with the independent plan. Example 1 gets 9 logical candidates (3 Pass 1 x (1 + 2 Pass 2)) and Example 3a gets 972. stage_pipeline's --max-combinations still counts Pass 1 combinations; its document lists every Stage 1 candidate. The Example 1 and scalar-queries viewer fixtures are regenerated. refactor(logical-asap-optimization): move the keyed-additive heap rule into the realization helpers Pass 1's whole-expression heap reuses the legacy search's keyed-additive rule, so the rule, its result types and schema_column_ref move from replacement.rs into realization.rs, which both use. Pure move. feat(logical-asap-optimization): whole-expression top-k heaps and counter-sample weights Pass 1 gains a whole-expression candidate kind. A top-k over a per-item sum or count that is itself a target (one consumer, no filter or HAVING, realizable by the keyed-additive rule) has its Count-Min and CountSketch heap candidates replaced by whole-expression ones: one heap over the inner aggregate's input, keyed by the ranked item and weighted by the summed value. It absorbs the inner target, which is then not computed. The outer top-k's partition keys are moved onto the input the heap reads. Example 1's Q2 gets exactly three candidates: exact, Count-Min + heap and CountSketch + heap. Enumeration skips choices that differ only in an absorbed target, and PerComputationCandidates::combinations counts the same set. Count-Min needs non-negative weights. Pass 1 does not read the data workload: when a heap's weights are raw samples of metric M, or plain sums of them, it records the open requirement WeightDomain::SamplesOfMetric{M}. Rate, other arithmetic and other functions end it, and no type is inferred from a `_total` name. DataWorkload gains metric_types (declared Prometheus types). Plan selection admits Count-Min over such weights only when M is declared a counter; an unconfirmed requirement counts as unmet. The planner pipeline's selected plan carries the confirmed requirement as the proof NonNegativeWeightProof::CounterSamples, since the executor reads no data workload. Example 1 declares http_requests_total a counter, so its Count-Min heap is now rejected only because a top-k output has no guarantee; without the declaration it is rejected on its weights. Raw-sample precompute now checks the whole-expression heaps. The Example 1 viewer fixture is regenerated. feat(plan-selection): price candidates per second of wall time Plan selection now prices a candidate per second, so queries with different recurrences add up, and takes each query's recurrence: - A NotMaterialized node is charged once per consumer at the sum of their rates (a shared NotMaterialized input still costs what reading it separately does). - A MatAtQuery node is computed once at the combined rate of the queries reaching it; queries at the same interval run together. - A MatAtIngestion node is priced over one second of arriving rows, once per second. - One-off, scheduled and unknown queries are spread over horizon_s. ResourceCalibration gains horizon_s (default 3600 s) and cost_per_retained_byte_second, the price of state kept between computations. Every materialized node's kept state is charged per byte per second: twice its output at ingestion time (the window being built and the completed one), once at query time. Memory held only during a query gets no per-second charge. select_plan, run_stage1_to_stage3 and run_stage1_to_stage3_from_pass1 take the recurrences; the planner pipeline and stage_pipeline read them from the workload. The cost model is described in the stage3_plan_selection module docs. The viewer fixtures are regenerated. fix(plan-selection): charge memory only as kept state per second Plan selection no longer charges a computation for the memory it holds while it runs (#682's per-computation peak-memory term, including the growing exact state of a query-time aggregate). Memory is charged only as state a materialized node keeps between computations: kept bytes times cost_per_retained_byte_second. The kept state is the node's output, or the values an exact aggregate keeps per group when that is more, so a kept exact quantile or distinct count is still sized by what it keeps. Peak capacity belongs to cost model 2 (#683). Every term is now a per-second cost; the per-computation memory coefficient is ignored. The tests that compared exact state against sketches now keep the state at query time, where its size is charged. feat(plan-selection): bind the sign of confirmed counter samples An exact sum or mean of relative-error values keeps the relative bound only over non-negative values. When the folded values are raw samples of one metric, or plain sums of them (an exact sum accumulator, a renaming, or a heap estimate whose weights carry the SamplesOfMetric requirement), Stage 1 now names the unknown sign by that metric, values_non_negative[M], and gates the bound on it. Plan selection binds it to 1 when the data workload declares M a counter; a gauge, an undeclared metric, rate, other arithmetic or a name such as _total leave it unbound, so the target stays unmet. Other folds keep the bare values_non_negative, which nothing binds. feat(devtools): limit Stage 1 candidates, Pass 2's included, while enumerating stage_pipeline's --max-combinations (default 10^4) now counts Stage 1 candidates as they are enumerated, Pass 2's identical-expression candidates included, and stops with an error as soon as the count passes the limit; it never truncates. Exit status 3 (the viewer server's 422) is unchanged. The library stays uncapped: Stage 1 is exposed as a lazy iterator (stage1_logical_asap_optimization) and Stage 2 and Stage 3 run over the candidates a caller enumerated (run_stage2_and_stage3); run_stage1_to_stage3_from_pass1 enumerates them all. planning_stages takes the limit as an Option. perf(logical-asap-optimization): enumerate distinct Pass 2 candidates directly The identical-expression rule tried all 2^g subsets of the sharing groups and dropped those that repeat a candidate. With nested groups most subsets repeat (14 groups: 16 384 subsets for 130 candidates). Sharing a set of groups also shares the groups it leaves as one node; that closure maps each subset to its candidate, and the distinct candidates are its closed sets. They are now enumerated directly (Next Closure: one closure per step and group), then put in the same binary-counter order, so the output is unchanged. Twenty nested groups give their 20 candidates quickly; a brute-force test checks the same candidates on small cases. Sharing groups are computed once per candidate, and a Pass 2 candidate names its shared groups by kind and number (Scan #1, TimeRange #2), so repeated kinds stay distinguishable. The viewer fixtures are regenerated. fix(plan-selection): every consumer gets the selected plan with confirmed weights The counter-sample requirement Stage 3 confirms was made a proof only in the planner pass, so run_stage1_to_stage3's selected_logical and the selected candidate's roots still carried the open requirement, which the executor rejects. Stage 3 now puts the plan on its output: Selection::plan is the selected candidate's roots with confirmed weights, and Stage1ToStage3Run::selected_logical returns the selected logical roots the same way. The pass reads Selection::plan. fix(logical-asap-optimization): an open weight requirement does not certify Count-Min estimate_has_bound treated any weight domain but UnknownOrSigned as proven, so a Count-Min estimate over weights with the open SamplesOfMetric requirement got its bound as if the weights were proven non-negative. Only NonNegative now counts. Such an estimate instead gets its local bound gated on the metric's sign, values_non_negative[M], which plan selection binds to 1 when M is declared a counter and leaves unbound otherwise. test: Example 1's shared-input totals tie with the independent one up to rounding Shows that the tie tolerance is needed: the shared-input candidates' totals differ from the independent candidate's in the last bits, and plan selection reports them as tied and keeps the independent one. Also drops stale wording in the acceptance helpers. test(logical-asap-optimization): Pass 2 candidate labels and roots agree Applying a candidate's label (the groups it shares) gives the same roots the direct enumeration returned, sharing exactly those groups. fix(plan-selection): the sign gate opens only at 1 The sign of one metric's samples gates a relative bound as a factor; a binder supplying 0 would have read as a perfect bound. Plan selection now binds a sign statistic only to 1 (proven) and leaves any other value unbound. docs: update the Example 1, 2 and 3 selections this PR changes The Example 3 acceptance spec and the stage viewer guide now give 3a's 972 candidates and its all-KLL selection, 3b's KLL selection tied with DDSketch, the per-second totals, and the shared-input plans that tie with the independent one.
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Summary
QuerySpecplaceholder incore::workloadinto a full struct (id, query+language, time_range, accuracy/latency/dollars SLAs, optionaldeployment_modelhint) plus supportingQueryLanguageandAccuracyTargetenums.MergeKllSketchescollapsing q1+q2 onto one KLL state, q3 stays exact), and L5 (colored multi-root DAG emission with edge-side memory dropping from 3× to 1× of scan/window).WorkloadPlan { bindings, roots }as the workload-level multi-root container soQueryExprstays single-root and cross-query fan-in lives one level above per-query IR. Within-query CTE fan-in keeps using the existingLetBinding/Refmechanism unchanged.Test plan
docs/design.mdand confirm both new sub-sections read cleanlyQuerySpecfields against existing references throughout the doc (HTTPPOST /plan, OpAMP capability-miss callback,replancycles)core::cost(workload_cost/ReusedComponent)🤖 Generated with Claude Code