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Pass 2's window-composition rule gains shared segments: approximate single-estimate targets over windows of one scan (same estimate up to accuracy, same grouping, no filters) share one summary per segment of a grid whose width is the gcd of every window's lookback and offset. Each query merges the segments its range covers; composition builds identical segments, which the identical-expression rule merges. Merging disjoint KLLs is exact, so each segment is sized for the strictest consumer and no accuracy is split. Only the all-shared form is offered (Q62), as its own Stage 1 variant (Sharing::WindowSegments, "· shared segments") in which each grouped target has the segment form as its only alternative. A group is skipped when its windows are identical, the union has more than MAX_PANES segments, or its queries recur at different cadences. Example 3a gets one candidate with five 1-year KLL segments; 4a, repeated monthly, can also maintain them at ingestion time (Q61). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
…ved by tumbling_state Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW
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The specs and tests from #590 run the current stages through the shared planner_layering_common pipeline (Pass 1 and composition, optimize_physical_asap, select_plan); tests are named after the stages. Materialization is read from the physical DAG (#667); window forms and retention stay pending adapters. Behavior that works passes (29 tests); every expectation that needs a feature not in this stack is ignored with the PR that delivers it (29 tests): Pass 2 sharing (#588, #595, #596), window composition (#601, #628, #634), materialization enumeration and MatAtQuery (#604, #625), UnivMon sizing and accuracy (#621), SQL recognition and COUNT(*) composition (#598, #603) and plan selection row estimates (#632). Each spec's "Today" column states the current output. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW
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The specs and tests from #590 run the current stages through the shared planner_layering_common pipeline (Pass 1 and composition, optimize_physical_asap, select_plan); tests are named after the stages. Materialization is read from the physical DAG (#667); window forms and retention stay pending adapters. Behavior that works passes (29 tests); every expectation that needs a feature not in this stack is ignored with the PR that delivers it (29 tests): Pass 2 sharing (#588, #595, #596), window composition (#601, #628, #634), materialization enumeration and MatAtQuery (#604, #625), UnivMon sizing and accuracy (#621), SQL recognition and COUNT(*) composition (#598, #603) and plan selection row estimates (#632). Each spec's "Today" column states the current output. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW
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…stages (#577) * test: acceptance spec and pending tests for planner-layering Example 1 Define MVP acceptance for #509 Example 1 before the Phase C stage APIs exist: 1 -> 6 -> 6 -> 1 candidates (Pass 1 x identical-expression sharing; physical operator implementation only, no materialization). - Spec with per-stage candidate tables, invariants and doc ambiguities. - Integration tests against todo!() stage stubs, ignored until the stages land; workload and Stage 0 frontend-shape tests run now. - Expected-only asap-stage-pipeline/v1 fixture for the DAG viewer. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * test: run the Example 1 acceptance tests against the real stages Replace the todo!() stubs with adapters over Stage 0-3, un-ignore the 11 tests that pass, and give each still-ignored test the precise difference between the implementation and the spec. Add runtime capability checks: the selected plan compiles in the physical planner; compiling every candidate stays ignored with the two runtime gaps it finds. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * test: read Example 1 logical stages as flat DAGs after the export removal Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * test: Example 1 acceptance on the composed stages (1 -> 3 -> 3 -> 1) The tests run Pass 1 and composition, optimize_physical_asap and select_plan through a shared tests/planner_layering_common pipeline, and follow the decided behavior: three Pass 1 candidates (Q2 exact, CMS+heap, CountSketch+heap), every sub-DAG NotMaterialized, P1 selected, CMS+heap invalid (weights not proven non-negative) and CountSketch+heap invalid (a Top-K output has no guarantee and no deployment evidence). Hydra (#605), Pass 2 sharing (#588) and the two runtime gaps (#593, #579) stay ignored with the PR that delivers them. Tests are named after the stages; the compile check no longer uses the PromQL fallback. The spec lists where the doc and the planner differ. The expected-only viewer fixture is removed: the generated four-stage fixture replaces it. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * test: port #590's Example 2-4 acceptance specs and tests The specs and tests from #590 run the current stages through the shared planner_layering_common pipeline (Pass 1 and composition, optimize_physical_asap, select_plan); tests are named after the stages. Materialization is read from the physical DAG (#667); window forms and retention stay pending adapters. Behavior that works passes (29 tests); every expectation that needs a feature not in this stack is ignored with the PR that delivers it (29 tests): Pass 2 sharing (#588, #595, #596), window composition (#601, #628, #634), materialization enumeration and MatAtQuery (#604, #625), UnivMon sizing and accuracy (#621), SQL recognition and COUNT(*) composition (#598, #603) and plan selection row estimates (#632). Each spec's "Today" column states the current output. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * feat(devtools): stage_pipeline examples for #509 Example 3 Ported from #590: --example planner-layering-3a (Pattern A, ad hoc batch of five p99 reports) and planner-layering-3b (Pattern B, repeating 5-min p99), the Example 3 acceptance tests' workloads. Example 1's output is unchanged. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * test: follow #576's per-consumer charging and exact top-k columns Plan selection charges a NotMaterialized node once per consuming query, so the charging helper checks NodeCost.multiplier and the Example 4 A3 ambiguity is recorded as decided. Example 1 checks that exact Q2 sorts by the ranked value and returns [job, topk_10]. The stage viewer guide's tab 1 row now describes the actual all-exact result. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * refactor(devtools): one planning pipeline for stage_pipeline and the acceptance tests run_planning_stages and the #509 example workloads move into the asap-devtools library; stage_pipeline serializes the run and the planner-layering tests adapt it. The shared data workload drops ingestion_rate for data at rest, which validate() requires. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * fix(devtools): select over every candidate; --max-displayed limits only the document stage_pipeline capped enumeration at 64, so Example 3a (243 candidates) selected P41 instead of the cheapest P122 (KLL for all five queries). The pipeline now enumerates, optimizes and prices every candidate; the document shows the first --max-displayed (default 64) plus the selected one, with `combinations` and `capped`. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * docs: Example 2's SQL candidates compose; the SQL test waits only on #598 Running the ignored SQL test composes every candidate and fails only on Q2's options (per-source counts until #598), so #603 is not a blocker. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * test: name stages by number and name; say query-language frontends The frontends' Run field, id and locals become stage0_query_language_frontends, and test names carry stage0..stage3 with the stage name. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * test: charging helper follows plan selection's per-consumer rule With a materialized node the helper accepted any multiplier >= 1. It now computes each node's computations as plan selection does (walks from query roots and materialized nodes' inputs, stopping at materialized nodes), checked on a hand-built candidate with a materialized node. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * test: Example 1 picks Q2 candidates by (option, no shared input) physical_with and the invalid-candidate check no longer assume one candidate per Q2 option, so #588's shared-input variants need no change. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * docs: Example 3 Pattern B charges each node once per consuming query Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * docs(stage-viewer): rows 2, 3a and 3b describe the planner's current output Read from uncapped runs: Example 2's sketch plans are rejected for having no (ε, δ) guarantee, 3a selects P122 (first of 108 tied cheapest plans, nothing shared yet) and 3b selects query-time KLL; panes and the latency check come with the window-summary PRs. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * docs(stage-viewer): row 2 from the SQL run; 3a ties 32 plans, not 108 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * test: Example 1 counts only unshared candidates; stage3_ charging-helper names The 3-logical and 3-physical counts now hold when #588 adds shared-input variants. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * refactor(devtools): PlanningStagesRun fields carry stage number and name Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW * test(devtools): unique temp file per stage_pipeline run cargo test runs the tests as threads of one process, so two runs of the same example shared a file name and one deleted the other's output. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W7qG9aFyPij5uWsyAJCxDW --------- Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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Stack: #574 → #620 → #618 → #621 → #627 → #625 → #628 → #632 → #634 → #616 → #617 → #622 → #624 → #629 → #630 → #631 → #633 → #635 → #636 → #637
Problem
Example 3's Pattern A (five p99 reports over [5y], [1y], [1y offset 1y], [1y offset 2y] and [3y offset 2y]) and Example 4a (the same, repeated monthly) had no plan that shares window summaries across the reports. The spec's Exponential Histogram tests were ignored.
Changes
Stacked on #625. Decisions Q60–Q62.
share_window_segmentsinwindow_composition.rsgroups approximate single-estimate targets over windows of one scan: same estimate up to accuracy, same grouping, no filters, offset ≥ 0. The segment width is the gcd of every window's lookback and offset, so every window boundary lies on the grid. For Pattern A that gives five 1-year segments.WindowForm::Segments). Their coverage is derived and checked bytumbling_state, as for panes.strictestandwith_accuracy.Sharing::WindowSegments, labeled· shared segments. In it each grouped target has the segment form as its only alternative, so Pattern A gains exactly one logical candidate (486 → 487). There are no partial or pairwise groupings.MAX_PANES(64) segments, or when its queries recur at different cadences.duration_labelgains days, so segments read365d segments.Tests
stage1_a_window_composition_adds_one_eh_for_all_fivebecomesstage1_a_shared_segments_serve_all_five: five 1-year KLL segments together read by all five queries, each query covering as many segments as its range has years, and five p99 estimates each reading a merge.stage1_a_keeps_independent_and_shared_window_summaries(Example 3).stage2_a_materialized_eh_is_built_once_for_all_consumersbecomesstage2_a_segments_are_built_once_for_all_consumers: five builds read by all five queries through five merges, charged once. Its options are {not materialized} for the one-off batch and {ingestion time, not materialized} for monthly.stage1_a_window_composition_groups_every_pair: no partial or pairwise groupings (Q62).stage2_a_shared_eh_has_three_materialization_options,stage2_a_at_rest_drops_the_ingestion_time_option,stage3_a_rebuilding_per_query_costs_more_than_building_once,stage3_a_once_adhoc_prefers_the_query_time_ehandstage3_a_monthly_amortizes_ingestion_time_maintenance. These expect A1 (kept for one batch), A3 (Q44) or a one-off ingestion-time option (Q61), none of which is generated.pattern_a_shares_five_one_year_segmentsandsegments_need_one_cadence_and_different_windows, unit tests in Pass 2.shares_segmentsin the test adapter.example4a_repeats_monthly_with_nothing_maintainablebecomes..._with_only_segments_maintainable: 488 plans, the only ingestion-time one being the segments.Finding: segments do not win under today's cost model
The 3a segment plan costs 44 384/s against 39 128/s for the selected shared-input KLLs. In 4a it is 61.64/s at query time and 1 536.9/s at ingestion time, against 54.34/s.
The plan builds 5 years of rows into KLLs where the independent KLLs build 11 years. It loses on pass-through work instead: Stage 3 charges each query-time
TimeShiftandTimeRangeper row of its input, and every segment's shift sees the whole 5-year scan. That is 10 such nodes against 8 in the selected plan, at 2 920 each.Pricing a query-time shift as free, and a range on the rows it keeps (a time-ordered scan seeks), would make segments cheapest in 3a: roughly 18 100 against 25 100. That pricing change is not made here.
Test plan
cargo fmt --all --checkcargo clippy --workspace --all-targets -- -D warningscargo test --workspace: 1689 passed, 0 failed, 13 ignored (re-run after the rebase on main d4869a7)python3 -m unittest test_viewer(tools/dag-viewer): 25 OK