RFC: Scalable PPL command-combination + pushdown verification testing #10

Description

@RyanL1997

Branches (on this fork)

Design doc: docs/dev/ppl-combination-pushdown-test-framework.md · RFC source: docs/dev/rfc-ppl-combination-pushdown-testing.md (both on the framework branch).


RFC: Scalable PPL command-combination + pushdown verification testing

Status: Draft for discussion · Author:@RyanL1997 · Date: 2026-06-25

Full design: docs/dev/ppl-combination-pushdown-test-framework.md.
Proof-of-concept branches (on this fork): poc/ppl-combination-pushdown-tests (framework),
fix/sort-pushdown-text-keyword-guard (a real bug the framework surfaced).

1. Problem

PPL pushdown tests are overwhelmingly single-command in intent. Explain coverage is ~338
hand-written golden files, almost all one command. The bugs this misses are adjacency bugs — an
operator that pushes down fine alone breaks when a neighbour is present. The two motivating
fixes are exactly this class:

These are two distinct failure modes (lost pushdown vs wrong DSL→wrong rows), and single-command
goldens structurally cannot catch either. There is no systematic combination coverage, no mechanism
to ensure a new command gets combination/pushdown coverage, and no record/regenerate mode — every
golden is hand-typed.

2. Proposal

A framework that exercises reasonable multi-command pipelines and verifies each command pushes
down as expected, structured so a new/changed command is caught automatically. Four pieces:

  1. Shape oracle — parse the physical explain into the set of pushed PushDownType tokens and
    verify it bidirectionally: a missing token is a pushdown loss ([BugFix] Restore dedup pushdown when combined with WHERE clause (#5482) opensearch-project/sql#5488 class), an extra token
    an undeclared gain. Expectations are computed from a command→token map and the field types
    (field-type-aware), never recorded — so a behavior change always turns the suite red.
  2. Differential oracle — run a pipeline with pushdown on vs off and assert identical results
    (schema-checked, order-insensitive multiset, per-cell ULP tolerance), with a documented exclusion
    list for legitimate divergences. This is the academic NoREC oracle, applied intra-engine.
  3. Reasonable-combination generator — a field-availability-aware validity model that emits valid
    pipelines (never referencing a dropped field; no redundant adjacency) — not a cartesian product.
  4. Coverage gate — reflect the active grammar's OpenSearchPPLParser.ruleNames; a new/renamed
    command fails the build until it is declared, forcing combination + pushdown coverage.

Why this design (prior art)

  • TrinoBaseConnectorTest (isFullyPushedDown() / isNotFullyPushedDown(NodeClass) /
    skipResultsCorrectnessCheckForPushdown()) is our shape oracle, including the shape/result
    decoupling.
  • SQLancer NoREC (optimizer on-vs-off result differential, 51 optimization bugs found) is our
    differential oracle — and being intra-engine it sidesteps the cross-dialect objection PQS
    raises against differential testing.
  • Elastic ES|QL (our closest sibling) validates the corpus + random pipeline generator; we borrow
    its cheap error-classification oracle (a valid pipeline must not throw). ES|QL verifies pushdown
    shape only via separate optimizer-rule unit tests — our integrated token oracle on the live explain
    unifies all three.

3. What's already built (proof of concept)

A working POC on poc/ppl-combination-pushdown-tests, production-shaped and green:

  • Classes:PushdownShapeOracle, DifferentialComparator, CombinationModel (field-type
    eligibility), PipelineGenerator, QueryResults, PushdownDifferentialTestCase.
  • Tests (all passing):CommandCoverageGateTest (ppl); PushdownShapeOracleIT (parser validated
    on 367 real goldens + the command→token map on 90 benchmark queries); DifferentialComparatorIT;
    CombinationModelIT; CalcitePplCombinationShapeIT (shape oracle on a live cluster);
    CalcitePplDifferentialIT (differential on a live cluster, incl. AVG ULP); PipelineGeneratorIT;
    and CalcitePplGeneratedDifferentialIT — the generator's 100 pipelines (20 two-command +
    80 three-command), each verified pushdown-invariant on a live cluster with zero per-pipeline test
    code
    . Adding a command template or an index field expands coverage automatically.

4. The framework already found (and we fixed) real bugs

Pointing the framework's lens at current main surfaced a family of latent pushdown bugs sharing one
root cause — the keyword-subfield guard the dedup path has was missing in the sort, sort-expr and
aggregate-terms paths. Fixed on fix/sort-pushdown-text-keyword-guard:

  • sort <text-expr-key> sorted on the raw analyzed field → wrong order / HTTP error (the genuine
    bug); now sorts on .keyword or declines cleanly.
  • sort/stats by on a text-without-.keyword field relied on a swallowed exception; now declines
    explicitly.

Verified with no regressions: CalciteSortCommandIT (30), CalcitePPLAggregationIT (100),
CalciteExplainIT (258, 0 failures, no golden moved). This is the ROI: the framework catches this
class automatically and continuously.

5. Project tenets (what every review asks)

  1. Adequacy is measured (branch + interlock + field-type coverage; mutation kill-rate;
    historical-bug replay), not a query count.
  2. Expectations are declared, never recorded — or detection is destroyed.
  3. Detection is bidirectional (a pushdown gain is as loud as a loss).
  4. You maintain intent, not artifacts — one declarative line, not hundreds of goldens.
  5. Combinations must be reasonable (field-availability + position), never cartesian.
  6. Two oracles, two failure modes (shape for loss/gain; differential for wrong rows).
  7. Robust to churn, sensitive to behavior (token presence, not digests/ordinals).

6. Execution model

Tiered, not one CI job: cheap forcing-functions gate every PR (ppl coverage gate; cluster-free
oracle/map checks; a small live smoke subset); the full generated sweep + mutation/coverage run
nightly. The generator produces cases at runtime from the manifest, so adding coverage adds no
files
.

7. Open questions / next steps

  • Generator depth and breadth (more index profiles; order-sensitive comparison for total-order sorts).
  • Adopt the ES|QL error-classification oracle as a first-line generator check (partially in the
    generated-differential IT already).
  • Wire the nightly lane + mutation (PIT) on the pushdown rule classes for the adequacy numbers.
  • Land the bug fix (fix/sort-pushdown-text-keyword-guard) as its own PR upstream.

Feedback welcome on: the two-oracle split, the coverage-gate-as-forcing-function approach, and how
aggressively to grow the generator vs curate a corpus.

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      Skip to content

      RFC: Scalable PPL command-combination + pushdown verification testing #10

      Description

      @RyanL1997

      Branches (on this fork)

      Design doc: docs/dev/ppl-combination-pushdown-test-framework.md · RFC source: docs/dev/rfc-ppl-combination-pushdown-testing.md (both on the framework branch).


      RFC: Scalable PPL command-combination + pushdown verification testing

      Status: Draft for discussion · Author:@RyanL1997 · Date: 2026-06-25

      Full design: docs/dev/ppl-combination-pushdown-test-framework.md.
      Proof-of-concept branches (on this fork): poc/ppl-combination-pushdown-tests (framework),
      fix/sort-pushdown-text-keyword-guard (a real bug the framework surfaced).

      1. Problem

      PPL pushdown tests are overwhelmingly single-command in intent. Explain coverage is ~338
      hand-written golden files, almost all one command. The bugs this misses are adjacency bugs — an
      operator that pushes down fine alone breaks when a neighbour is present. The two motivating
      fixes are exactly this class:

      These are two distinct failure modes (lost pushdown vs wrong DSL→wrong rows), and single-command
      goldens structurally cannot catch either. There is no systematic combination coverage, no mechanism
      to ensure a new command gets combination/pushdown coverage, and no record/regenerate mode — every
      golden is hand-typed.

      2. Proposal

      A framework that exercises reasonable multi-command pipelines and verifies each command pushes
      down as expected, structured so a new/changed command is caught automatically. Four pieces:

      1. Shape oracle — parse the physical explain into the set of pushed PushDownType tokens and
        verify it bidirectionally: a missing token is a pushdown loss ([BugFix] Restore dedup pushdown when combined with WHERE clause (#5482) opensearch-project/sql#5488 class), an extra token
        an undeclared gain. Expectations are computed from a command→token map and the field types
        (field-type-aware), never recorded — so a behavior change always turns the suite red.
      2. Differential oracle — run a pipeline with pushdown on vs off and assert identical results
        (schema-checked, order-insensitive multiset, per-cell ULP tolerance), with a documented exclusion
        list for legitimate divergences. This is the academic NoREC oracle, applied intra-engine.
      3. Reasonable-combination generator — a field-availability-aware validity model that emits valid
        pipelines (never referencing a dropped field; no redundant adjacency) — not a cartesian product.
      4. Coverage gate — reflect the active grammar's OpenSearchPPLParser.ruleNames; a new/renamed
        command fails the build until it is declared, forcing combination + pushdown coverage.

      Why this design (prior art)

      • TrinoBaseConnectorTest (isFullyPushedDown() / isNotFullyPushedDown(NodeClass) /
        skipResultsCorrectnessCheckForPushdown()) is our shape oracle, including the shape/result
        decoupling.
      • SQLancer NoREC (optimizer on-vs-off result differential, 51 optimization bugs found) is our
        differential oracle — and being intra-engine it sidesteps the cross-dialect objection PQS
        raises against differential testing.
      • Elastic ES|QL (our closest sibling) validates the corpus + random pipeline generator; we borrow
        its cheap error-classification oracle (a valid pipeline must not throw). ES|QL verifies pushdown
        shape only via separate optimizer-rule unit tests — our integrated token oracle on the live explain
        unifies all three.

      3. What's already built (proof of concept)

      A working POC on poc/ppl-combination-pushdown-tests, production-shaped and green:

      • Classes:PushdownShapeOracle, DifferentialComparator, CombinationModel (field-type
        eligibility), PipelineGenerator, QueryResults, PushdownDifferentialTestCase.
      • Tests (all passing):CommandCoverageGateTest (ppl); PushdownShapeOracleIT (parser validated
        on 367 real goldens + the command→token map on 90 benchmark queries); DifferentialComparatorIT;
        CombinationModelIT; CalcitePplCombinationShapeIT (shape oracle on a live cluster);
        CalcitePplDifferentialIT (differential on a live cluster, incl. AVG ULP); PipelineGeneratorIT;
        and CalcitePplGeneratedDifferentialIT — the generator's 100 pipelines (20 two-command +
        80 three-command), each verified pushdown-invariant on a live cluster with zero per-pipeline test
        code
        . Adding a command template or an index field expands coverage automatically.

      4. The framework already found (and we fixed) real bugs

      Pointing the framework's lens at current main surfaced a family of latent pushdown bugs sharing one
      root cause — the keyword-subfield guard the dedup path has was missing in the sort, sort-expr and
      aggregate-terms paths. Fixed on fix/sort-pushdown-text-keyword-guard:

      • sort <text-expr-key> sorted on the raw analyzed field → wrong order / HTTP error (the genuine
        bug); now sorts on .keyword or declines cleanly.
      • sort/stats by on a text-without-.keyword field relied on a swallowed exception; now declines
        explicitly.

      Verified with no regressions: CalciteSortCommandIT (30), CalcitePPLAggregationIT (100),
      CalciteExplainIT (258, 0 failures, no golden moved). This is the ROI: the framework catches this
      class automatically and continuously.

      5. Project tenets (what every review asks)

      1. Adequacy is measured (branch + interlock + field-type coverage; mutation kill-rate;
        historical-bug replay), not a query count.
      2. Expectations are declared, never recorded — or detection is destroyed.
      3. Detection is bidirectional (a pushdown gain is as loud as a loss).
      4. You maintain intent, not artifacts — one declarative line, not hundreds of goldens.
      5. Combinations must be reasonable (field-availability + position), never cartesian.
      6. Two oracles, two failure modes (shape for loss/gain; differential for wrong rows).
      7. Robust to churn, sensitive to behavior (token presence, not digests/ordinals).

      6. Execution model

      Tiered, not one CI job: cheap forcing-functions gate every PR (ppl coverage gate; cluster-free
      oracle/map checks; a small live smoke subset); the full generated sweep + mutation/coverage run
      nightly. The generator produces cases at runtime from the manifest, so adding coverage adds no
      files
      .

      7. Open questions / next steps

      • Generator depth and breadth (more index profiles; order-sensitive comparison for total-order sorts).
      • Adopt the ES|QL error-classification oracle as a first-line generator check (partially in the
        generated-differential IT already).
      • Wire the nightly lane + mutation (PIT) on the pushdown rule classes for the adequacy numbers.
      • Land the bug fix (fix/sort-pushdown-text-keyword-guard) as its own PR upstream.

      Feedback welcome on: the two-oracle split, the coverage-gate-as-forcing-function approach, and how
      aggressively to grow the generator vs curate a corpus.

      Metadata

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          Skip to content

          RFC: Scalable PPL command-combination + pushdown verification testing #10

          Description

          @RyanL1997

          Branches (on this fork)

          Design doc: docs/dev/ppl-combination-pushdown-test-framework.md · RFC source: docs/dev/rfc-ppl-combination-pushdown-testing.md (both on the framework branch).


          RFC: Scalable PPL command-combination + pushdown verification testing

          Status: Draft for discussion · Author:@RyanL1997 · Date: 2026-06-25

          Full design: docs/dev/ppl-combination-pushdown-test-framework.md.
          Proof-of-concept branches (on this fork): poc/ppl-combination-pushdown-tests (framework),
          fix/sort-pushdown-text-keyword-guard (a real bug the framework surfaced).

          1. Problem

          PPL pushdown tests are overwhelmingly single-command in intent. Explain coverage is ~338
          hand-written golden files, almost all one command. The bugs this misses are adjacency bugs — an
          operator that pushes down fine alone breaks when a neighbour is present. The two motivating
          fixes are exactly this class:

          These are two distinct failure modes (lost pushdown vs wrong DSL→wrong rows), and single-command
          goldens structurally cannot catch either. There is no systematic combination coverage, no mechanism
          to ensure a new command gets combination/pushdown coverage, and no record/regenerate mode — every
          golden is hand-typed.

          2. Proposal

          A framework that exercises reasonable multi-command pipelines and verifies each command pushes
          down as expected, structured so a new/changed command is caught automatically. Four pieces:

          1. Shape oracle — parse the physical explain into the set of pushed PushDownType tokens and
            verify it bidirectionally: a missing token is a pushdown loss ([BugFix] Restore dedup pushdown when combined with WHERE clause (#5482) opensearch-project/sql#5488 class), an extra token
            an undeclared gain. Expectations are computed from a command→token map and the field types
            (field-type-aware), never recorded — so a behavior change always turns the suite red.
          2. Differential oracle — run a pipeline with pushdown on vs off and assert identical results
            (schema-checked, order-insensitive multiset, per-cell ULP tolerance), with a documented exclusion
            list for legitimate divergences. This is the academic NoREC oracle, applied intra-engine.
          3. Reasonable-combination generator — a field-availability-aware validity model that emits valid
            pipelines (never referencing a dropped field; no redundant adjacency) — not a cartesian product.
          4. Coverage gate — reflect the active grammar's OpenSearchPPLParser.ruleNames; a new/renamed
            command fails the build until it is declared, forcing combination + pushdown coverage.

          Why this design (prior art)

          • TrinoBaseConnectorTest (isFullyPushedDown() / isNotFullyPushedDown(NodeClass) /
            skipResultsCorrectnessCheckForPushdown()) is our shape oracle, including the shape/result
            decoupling.
          • SQLancer NoREC (optimizer on-vs-off result differential, 51 optimization bugs found) is our
            differential oracle — and being intra-engine it sidesteps the cross-dialect objection PQS
            raises against differential testing.
          • Elastic ES|QL (our closest sibling) validates the corpus + random pipeline generator; we borrow
            its cheap error-classification oracle (a valid pipeline must not throw). ES|QL verifies pushdown
            shape only via separate optimizer-rule unit tests — our integrated token oracle on the live explain
            unifies all three.

          3. What's already built (proof of concept)

          A working POC on poc/ppl-combination-pushdown-tests, production-shaped and green:

          • Classes:PushdownShapeOracle, DifferentialComparator, CombinationModel (field-type
            eligibility), PipelineGenerator, QueryResults, PushdownDifferentialTestCase.
          • Tests (all passing):CommandCoverageGateTest (ppl); PushdownShapeOracleIT (parser validated
            on 367 real goldens + the command→token map on 90 benchmark queries); DifferentialComparatorIT;
            CombinationModelIT; CalcitePplCombinationShapeIT (shape oracle on a live cluster);
            CalcitePplDifferentialIT (differential on a live cluster, incl. AVG ULP); PipelineGeneratorIT;
            and CalcitePplGeneratedDifferentialIT — the generator's 100 pipelines (20 two-command +
            80 three-command), each verified pushdown-invariant on a live cluster with zero per-pipeline test
            code
            . Adding a command template or an index field expands coverage automatically.

          4. The framework already found (and we fixed) real bugs

          Pointing the framework's lens at current main surfaced a family of latent pushdown bugs sharing one
          root cause — the keyword-subfield guard the dedup path has was missing in the sort, sort-expr and
          aggregate-terms paths. Fixed on fix/sort-pushdown-text-keyword-guard:

          • sort <text-expr-key> sorted on the raw analyzed field → wrong order / HTTP error (the genuine
            bug); now sorts on .keyword or declines cleanly.
          • sort/stats by on a text-without-.keyword field relied on a swallowed exception; now declines
            explicitly.

          Verified with no regressions: CalciteSortCommandIT (30), CalcitePPLAggregationIT (100),
          CalciteExplainIT (258, 0 failures, no golden moved). This is the ROI: the framework catches this
          class automatically and continuously.

          5. Project tenets (what every review asks)

          1. Adequacy is measured (branch + interlock + field-type coverage; mutation kill-rate;
            historical-bug replay), not a query count.
          2. Expectations are declared, never recorded — or detection is destroyed.
          3. Detection is bidirectional (a pushdown gain is as loud as a loss).
          4. You maintain intent, not artifacts — one declarative line, not hundreds of goldens.
          5. Combinations must be reasonable (field-availability + position), never cartesian.
          6. Two oracles, two failure modes (shape for loss/gain; differential for wrong rows).
          7. Robust to churn, sensitive to behavior (token presence, not digests/ordinals).

          6. Execution model

          Tiered, not one CI job: cheap forcing-functions gate every PR (ppl coverage gate; cluster-free
          oracle/map checks; a small live smoke subset); the full generated sweep + mutation/coverage run
          nightly. The generator produces cases at runtime from the manifest, so adding coverage adds no
          files
          .

          7. Open questions / next steps

          • Generator depth and breadth (more index profiles; order-sensitive comparison for total-order sorts).
          • Adopt the ES|QL error-classification oracle as a first-line generator check (partially in the
            generated-differential IT already).
          • Wire the nightly lane + mutation (PIT) on the pushdown rule classes for the adequacy numbers.
          • Land the bug fix (fix/sort-pushdown-text-keyword-guard) as its own PR upstream.

          Feedback welcome on: the two-oracle split, the coverage-gate-as-forcing-function approach, and how
          aggressively to grow the generator vs curate a corpus.

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              None yet

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              No branches or pull requests

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              Skip to content

              RFC: Scalable PPL command-combination + pushdown verification testing #10

              Description

              @RyanL1997

              Branches (on this fork)

              Design doc: docs/dev/ppl-combination-pushdown-test-framework.md · RFC source: docs/dev/rfc-ppl-combination-pushdown-testing.md (both on the framework branch).


              RFC: Scalable PPL command-combination + pushdown verification testing

              Status: Draft for discussion · Author:@RyanL1997 · Date: 2026-06-25

              Full design: docs/dev/ppl-combination-pushdown-test-framework.md.
              Proof-of-concept branches (on this fork): poc/ppl-combination-pushdown-tests (framework),
              fix/sort-pushdown-text-keyword-guard (a real bug the framework surfaced).

              1. Problem

              PPL pushdown tests are overwhelmingly single-command in intent. Explain coverage is ~338
              hand-written golden files, almost all one command. The bugs this misses are adjacency bugs — an
              operator that pushes down fine alone breaks when a neighbour is present. The two motivating
              fixes are exactly this class:

              These are two distinct failure modes (lost pushdown vs wrong DSL→wrong rows), and single-command
              goldens structurally cannot catch either. There is no systematic combination coverage, no mechanism
              to ensure a new command gets combination/pushdown coverage, and no record/regenerate mode — every
              golden is hand-typed.

              2. Proposal

              A framework that exercises reasonable multi-command pipelines and verifies each command pushes
              down as expected, structured so a new/changed command is caught automatically. Four pieces:

              1. Shape oracle — parse the physical explain into the set of pushed PushDownType tokens and
                verify it bidirectionally: a missing token is a pushdown loss ([BugFix] Restore dedup pushdown when combined with WHERE clause (#5482) opensearch-project/sql#5488 class), an extra token
                an undeclared gain. Expectations are computed from a command→token map and the field types
                (field-type-aware), never recorded — so a behavior change always turns the suite red.
              2. Differential oracle — run a pipeline with pushdown on vs off and assert identical results
                (schema-checked, order-insensitive multiset, per-cell ULP tolerance), with a documented exclusion
                list for legitimate divergences. This is the academic NoREC oracle, applied intra-engine.
              3. Reasonable-combination generator — a field-availability-aware validity model that emits valid
                pipelines (never referencing a dropped field; no redundant adjacency) — not a cartesian product.
              4. Coverage gate — reflect the active grammar's OpenSearchPPLParser.ruleNames; a new/renamed
                command fails the build until it is declared, forcing combination + pushdown coverage.

              Why this design (prior art)

              • TrinoBaseConnectorTest (isFullyPushedDown() / isNotFullyPushedDown(NodeClass) /
                skipResultsCorrectnessCheckForPushdown()) is our shape oracle, including the shape/result
                decoupling.
              • SQLancer NoREC (optimizer on-vs-off result differential, 51 optimization bugs found) is our
                differential oracle — and being intra-engine it sidesteps the cross-dialect objection PQS
                raises against differential testing.
              • Elastic ES|QL (our closest sibling) validates the corpus + random pipeline generator; we borrow
                its cheap error-classification oracle (a valid pipeline must not throw). ES|QL verifies pushdown
                shape only via separate optimizer-rule unit tests — our integrated token oracle on the live explain
                unifies all three.

              3. What's already built (proof of concept)

              A working POC on poc/ppl-combination-pushdown-tests, production-shaped and green:

              • Classes:PushdownShapeOracle, DifferentialComparator, CombinationModel (field-type
                eligibility), PipelineGenerator, QueryResults, PushdownDifferentialTestCase.
              • Tests (all passing):CommandCoverageGateTest (ppl); PushdownShapeOracleIT (parser validated
                on 367 real goldens + the command→token map on 90 benchmark queries); DifferentialComparatorIT;
                CombinationModelIT; CalcitePplCombinationShapeIT (shape oracle on a live cluster);
                CalcitePplDifferentialIT (differential on a live cluster, incl. AVG ULP); PipelineGeneratorIT;
                and CalcitePplGeneratedDifferentialIT — the generator's 100 pipelines (20 two-command +
                80 three-command), each verified pushdown-invariant on a live cluster with zero per-pipeline test
                code
                . Adding a command template or an index field expands coverage automatically.

              4. The framework already found (and we fixed) real bugs

              Pointing the framework's lens at current main surfaced a family of latent pushdown bugs sharing one
              root cause — the keyword-subfield guard the dedup path has was missing in the sort, sort-expr and
              aggregate-terms paths. Fixed on fix/sort-pushdown-text-keyword-guard:

              • sort <text-expr-key> sorted on the raw analyzed field → wrong order / HTTP error (the genuine
                bug); now sorts on .keyword or declines cleanly.
              • sort/stats by on a text-without-.keyword field relied on a swallowed exception; now declines
                explicitly.

              Verified with no regressions: CalciteSortCommandIT (30), CalcitePPLAggregationIT (100),
              CalciteExplainIT (258, 0 failures, no golden moved). This is the ROI: the framework catches this
              class automatically and continuously.

              5. Project tenets (what every review asks)

              1. Adequacy is measured (branch + interlock + field-type coverage; mutation kill-rate;
                historical-bug replay), not a query count.
              2. Expectations are declared, never recorded — or detection is destroyed.
              3. Detection is bidirectional (a pushdown gain is as loud as a loss).
              4. You maintain intent, not artifacts — one declarative line, not hundreds of goldens.
              5. Combinations must be reasonable (field-availability + position), never cartesian.
              6. Two oracles, two failure modes (shape for loss/gain; differential for wrong rows).
              7. Robust to churn, sensitive to behavior (token presence, not digests/ordinals).

              6. Execution model

              Tiered, not one CI job: cheap forcing-functions gate every PR (ppl coverage gate; cluster-free
              oracle/map checks; a small live smoke subset); the full generated sweep + mutation/coverage run
              nightly. The generator produces cases at runtime from the manifest, so adding coverage adds no
              files
              .

              7. Open questions / next steps

              • Generator depth and breadth (more index profiles; order-sensitive comparison for total-order sorts).
              • Adopt the ES|QL error-classification oracle as a first-line generator check (partially in the
                generated-differential IT already).
              • Wire the nightly lane + mutation (PIT) on the pushdown rule classes for the adequacy numbers.
              • Land the bug fix (fix/sort-pushdown-text-keyword-guard) as its own PR upstream.

              Feedback welcome on: the two-oracle split, the coverage-gate-as-forcing-function approach, and how
              aggressively to grow the generator vs curate a corpus.

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                  , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
                  Skip to content

                  RFC: Scalable PPL command-combination + pushdown verification testing #10

                  Description

                  @RyanL1997

                  Branches (on this fork)

                  Design doc: docs/dev/ppl-combination-pushdown-test-framework.md · RFC source: docs/dev/rfc-ppl-combination-pushdown-testing.md (both on the framework branch).


                  RFC: Scalable PPL command-combination + pushdown verification testing

                  Status: Draft for discussion · Author:@RyanL1997 · Date: 2026-06-25

                  Full design: docs/dev/ppl-combination-pushdown-test-framework.md.
                  Proof-of-concept branches (on this fork): poc/ppl-combination-pushdown-tests (framework),
                  fix/sort-pushdown-text-keyword-guard (a real bug the framework surfaced).

                  1. Problem

                  PPL pushdown tests are overwhelmingly single-command in intent. Explain coverage is ~338
                  hand-written golden files, almost all one command. The bugs this misses are adjacency bugs — an
                  operator that pushes down fine alone breaks when a neighbour is present. The two motivating
                  fixes are exactly this class:

                  These are two distinct failure modes (lost pushdown vs wrong DSL→wrong rows), and single-command
                  goldens structurally cannot catch either. There is no systematic combination coverage, no mechanism
                  to ensure a new command gets combination/pushdown coverage, and no record/regenerate mode — every
                  golden is hand-typed.

                  2. Proposal

                  A framework that exercises reasonable multi-command pipelines and verifies each command pushes
                  down as expected, structured so a new/changed command is caught automatically. Four pieces:

                  1. Shape oracle — parse the physical explain into the set of pushed PushDownType tokens and
                    verify it bidirectionally: a missing token is a pushdown loss ([BugFix] Restore dedup pushdown when combined with WHERE clause (#5482) opensearch-project/sql#5488 class), an extra token
                    an undeclared gain. Expectations are computed from a command→token map and the field types
                    (field-type-aware), never recorded — so a behavior change always turns the suite red.
                  2. Differential oracle — run a pipeline with pushdown on vs off and assert identical results
                    (schema-checked, order-insensitive multiset, per-cell ULP tolerance), with a documented exclusion
                    list for legitimate divergences. This is the academic NoREC oracle, applied intra-engine.
                  3. Reasonable-combination generator — a field-availability-aware validity model that emits valid
                    pipelines (never referencing a dropped field; no redundant adjacency) — not a cartesian product.
                  4. Coverage gate — reflect the active grammar's OpenSearchPPLParser.ruleNames; a new/renamed
                    command fails the build until it is declared, forcing combination + pushdown coverage.

                  Why this design (prior art)

                  • TrinoBaseConnectorTest (isFullyPushedDown() / isNotFullyPushedDown(NodeClass) /
                    skipResultsCorrectnessCheckForPushdown()) is our shape oracle, including the shape/result
                    decoupling.
                  • SQLancer NoREC (optimizer on-vs-off result differential, 51 optimization bugs found) is our
                    differential oracle — and being intra-engine it sidesteps the cross-dialect objection PQS
                    raises against differential testing.
                  • Elastic ES|QL (our closest sibling) validates the corpus + random pipeline generator; we borrow
                    its cheap error-classification oracle (a valid pipeline must not throw). ES|QL verifies pushdown
                    shape only via separate optimizer-rule unit tests — our integrated token oracle on the live explain
                    unifies all three.

                  3. What's already built (proof of concept)

                  A working POC on poc/ppl-combination-pushdown-tests, production-shaped and green:

                  • Classes:PushdownShapeOracle, DifferentialComparator, CombinationModel (field-type
                    eligibility), PipelineGenerator, QueryResults, PushdownDifferentialTestCase.
                  • Tests (all passing):CommandCoverageGateTest (ppl); PushdownShapeOracleIT (parser validated
                    on 367 real goldens + the command→token map on 90 benchmark queries); DifferentialComparatorIT;
                    CombinationModelIT; CalcitePplCombinationShapeIT (shape oracle on a live cluster);
                    CalcitePplDifferentialIT (differential on a live cluster, incl. AVG ULP); PipelineGeneratorIT;
                    and CalcitePplGeneratedDifferentialIT — the generator's 100 pipelines (20 two-command +
                    80 three-command), each verified pushdown-invariant on a live cluster with zero per-pipeline test
                    code
                    . Adding a command template or an index field expands coverage automatically.

                  4. The framework already found (and we fixed) real bugs

                  Pointing the framework's lens at current main surfaced a family of latent pushdown bugs sharing one
                  root cause — the keyword-subfield guard the dedup path has was missing in the sort, sort-expr and
                  aggregate-terms paths. Fixed on fix/sort-pushdown-text-keyword-guard:

                  • sort <text-expr-key> sorted on the raw analyzed field → wrong order / HTTP error (the genuine
                    bug); now sorts on .keyword or declines cleanly.
                  • sort/stats by on a text-without-.keyword field relied on a swallowed exception; now declines
                    explicitly.

                  Verified with no regressions: CalciteSortCommandIT (30), CalcitePPLAggregationIT (100),
                  CalciteExplainIT (258, 0 failures, no golden moved). This is the ROI: the framework catches this
                  class automatically and continuously.

                  5. Project tenets (what every review asks)

                  1. Adequacy is measured (branch + interlock + field-type coverage; mutation kill-rate;
                    historical-bug replay), not a query count.
                  2. Expectations are declared, never recorded — or detection is destroyed.
                  3. Detection is bidirectional (a pushdown gain is as loud as a loss).
                  4. You maintain intent, not artifacts — one declarative line, not hundreds of goldens.
                  5. Combinations must be reasonable (field-availability + position), never cartesian.
                  6. Two oracles, two failure modes (shape for loss/gain; differential for wrong rows).
                  7. Robust to churn, sensitive to behavior (token presence, not digests/ordinals).

                  6. Execution model

                  Tiered, not one CI job: cheap forcing-functions gate every PR (ppl coverage gate; cluster-free
                  oracle/map checks; a small live smoke subset); the full generated sweep + mutation/coverage run
                  nightly. The generator produces cases at runtime from the manifest, so adding coverage adds no
                  files
                  .

                  7. Open questions / next steps

                  • Generator depth and breadth (more index profiles; order-sensitive comparison for total-order sorts).
                  • Adopt the ES|QL error-classification oracle as a first-line generator check (partially in the
                    generated-differential IT already).
                  • Wire the nightly lane + mutation (PIT) on the pushdown rule classes for the adequacy numbers.
                  • Land the bug fix (fix/sort-pushdown-text-keyword-guard) as its own PR upstream.

                  Feedback welcome on: the two-oracle split, the coverage-gate-as-forcing-function approach, and how
                  aggressively to grow the generator vs curate a corpus.

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Labels

                    No labels
                    No labels

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                    No projects

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                      No milestone

                      Relationships

                      None yet

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                      No branches or pull requests

                      Issue actions

                      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                      Skip to content

                      RFC: Scalable PPL command-combination + pushdown verification testing #10

                      Description

                      @RyanL1997

                      Branches (on this fork)

                      Design doc: docs/dev/ppl-combination-pushdown-test-framework.md · RFC source: docs/dev/rfc-ppl-combination-pushdown-testing.md (both on the framework branch).


                      RFC: Scalable PPL command-combination + pushdown verification testing

                      Status: Draft for discussion · Author:@RyanL1997 · Date: 2026-06-25

                      Full design: docs/dev/ppl-combination-pushdown-test-framework.md.
                      Proof-of-concept branches (on this fork): poc/ppl-combination-pushdown-tests (framework),
                      fix/sort-pushdown-text-keyword-guard (a real bug the framework surfaced).

                      1. Problem

                      PPL pushdown tests are overwhelmingly single-command in intent. Explain coverage is ~338
                      hand-written golden files, almost all one command. The bugs this misses are adjacency bugs — an
                      operator that pushes down fine alone breaks when a neighbour is present. The two motivating
                      fixes are exactly this class:

                      These are two distinct failure modes (lost pushdown vs wrong DSL→wrong rows), and single-command
                      goldens structurally cannot catch either. There is no systematic combination coverage, no mechanism
                      to ensure a new command gets combination/pushdown coverage, and no record/regenerate mode — every
                      golden is hand-typed.

                      2. Proposal

                      A framework that exercises reasonable multi-command pipelines and verifies each command pushes
                      down as expected, structured so a new/changed command is caught automatically. Four pieces:

                      1. Shape oracle — parse the physical explain into the set of pushed PushDownType tokens and
                        verify it bidirectionally: a missing token is a pushdown loss ([BugFix] Restore dedup pushdown when combined with WHERE clause (#5482) opensearch-project/sql#5488 class), an extra token
                        an undeclared gain. Expectations are computed from a command→token map and the field types
                        (field-type-aware), never recorded — so a behavior change always turns the suite red.
                      2. Differential oracle — run a pipeline with pushdown on vs off and assert identical results
                        (schema-checked, order-insensitive multiset, per-cell ULP tolerance), with a documented exclusion
                        list for legitimate divergences. This is the academic NoREC oracle, applied intra-engine.
                      3. Reasonable-combination generator — a field-availability-aware validity model that emits valid
                        pipelines (never referencing a dropped field; no redundant adjacency) — not a cartesian product.
                      4. Coverage gate — reflect the active grammar's OpenSearchPPLParser.ruleNames; a new/renamed
                        command fails the build until it is declared, forcing combination + pushdown coverage.

                      Why this design (prior art)

                      • TrinoBaseConnectorTest (isFullyPushedDown() / isNotFullyPushedDown(NodeClass) /
                        skipResultsCorrectnessCheckForPushdown()) is our shape oracle, including the shape/result
                        decoupling.
                      • SQLancer NoREC (optimizer on-vs-off result differential, 51 optimization bugs found) is our
                        differential oracle — and being intra-engine it sidesteps the cross-dialect objection PQS
                        raises against differential testing.
                      • Elastic ES|QL (our closest sibling) validates the corpus + random pipeline generator; we borrow
                        its cheap error-classification oracle (a valid pipeline must not throw). ES|QL verifies pushdown
                        shape only via separate optimizer-rule unit tests — our integrated token oracle on the live explain
                        unifies all three.

                      3. What's already built (proof of concept)

                      A working POC on poc/ppl-combination-pushdown-tests, production-shaped and green:

                      • Classes:PushdownShapeOracle, DifferentialComparator, CombinationModel (field-type
                        eligibility), PipelineGenerator, QueryResults, PushdownDifferentialTestCase.
                      • Tests (all passing):CommandCoverageGateTest (ppl); PushdownShapeOracleIT (parser validated
                        on 367 real goldens + the command→token map on 90 benchmark queries); DifferentialComparatorIT;
                        CombinationModelIT; CalcitePplCombinationShapeIT (shape oracle on a live cluster);
                        CalcitePplDifferentialIT (differential on a live cluster, incl. AVG ULP); PipelineGeneratorIT;
                        and CalcitePplGeneratedDifferentialIT — the generator's 100 pipelines (20 two-command +
                        80 three-command), each verified pushdown-invariant on a live cluster with zero per-pipeline test
                        code
                        . Adding a command template or an index field expands coverage automatically.

                      4. The framework already found (and we fixed) real bugs

                      Pointing the framework's lens at current main surfaced a family of latent pushdown bugs sharing one
                      root cause — the keyword-subfield guard the dedup path has was missing in the sort, sort-expr and
                      aggregate-terms paths. Fixed on fix/sort-pushdown-text-keyword-guard:

                      • sort <text-expr-key> sorted on the raw analyzed field → wrong order / HTTP error (the genuine
                        bug); now sorts on .keyword or declines cleanly.
                      • sort/stats by on a text-without-.keyword field relied on a swallowed exception; now declines
                        explicitly.

                      Verified with no regressions: CalciteSortCommandIT (30), CalcitePPLAggregationIT (100),
                      CalciteExplainIT (258, 0 failures, no golden moved). This is the ROI: the framework catches this
                      class automatically and continuously.

                      5. Project tenets (what every review asks)

                      1. Adequacy is measured (branch + interlock + field-type coverage; mutation kill-rate;
                        historical-bug replay), not a query count.
                      2. Expectations are declared, never recorded — or detection is destroyed.
                      3. Detection is bidirectional (a pushdown gain is as loud as a loss).
                      4. You maintain intent, not artifacts — one declarative line, not hundreds of goldens.
                      5. Combinations must be reasonable (field-availability + position), never cartesian.
                      6. Two oracles, two failure modes (shape for loss/gain; differential for wrong rows).
                      7. Robust to churn, sensitive to behavior (token presence, not digests/ordinals).

                      6. Execution model

                      Tiered, not one CI job: cheap forcing-functions gate every PR (ppl coverage gate; cluster-free
                      oracle/map checks; a small live smoke subset); the full generated sweep + mutation/coverage run
                      nightly. The generator produces cases at runtime from the manifest, so adding coverage adds no
                      files
                      .

                      7. Open questions / next steps

                      • Generator depth and breadth (more index profiles; order-sensitive comparison for total-order sorts).
                      • Adopt the ES|QL error-classification oracle as a first-line generator check (partially in the
                        generated-differential IT already).
                      • Wire the nightly lane + mutation (PIT) on the pushdown rule classes for the adequacy numbers.
                      • Land the bug fix (fix/sort-pushdown-text-keyword-guard) as its own PR upstream.

                      Feedback welcome on: the two-oracle split, the coverage-gate-as-forcing-function approach, and how
                      aggressively to grow the generator vs curate a corpus.

                      Metadata

                      Metadata

                      Assignees

                      No one assigned

                        Labels

                        No labels
                        No labels

                        Projects

                        No projects

                          Milestone

                          No milestone

                          Relationships

                          None yet

                          Development

                          No branches or pull requests

                          Issue actions

                          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                          Skip to content

                          RFC: Scalable PPL command-combination + pushdown verification testing #10

                          Description

                          @RyanL1997

                          Branches (on this fork)

                          Design doc: docs/dev/ppl-combination-pushdown-test-framework.md · RFC source: docs/dev/rfc-ppl-combination-pushdown-testing.md (both on the framework branch).


                          RFC: Scalable PPL command-combination + pushdown verification testing

                          Status: Draft for discussion · Author:@RyanL1997 · Date: 2026-06-25

                          Full design: docs/dev/ppl-combination-pushdown-test-framework.md.
                          Proof-of-concept branches (on this fork): poc/ppl-combination-pushdown-tests (framework),
                          fix/sort-pushdown-text-keyword-guard (a real bug the framework surfaced).

                          1. Problem

                          PPL pushdown tests are overwhelmingly single-command in intent. Explain coverage is ~338
                          hand-written golden files, almost all one command. The bugs this misses are adjacency bugs — an
                          operator that pushes down fine alone breaks when a neighbour is present. The two motivating
                          fixes are exactly this class:

                          These are two distinct failure modes (lost pushdown vs wrong DSL→wrong rows), and single-command
                          goldens structurally cannot catch either. There is no systematic combination coverage, no mechanism
                          to ensure a new command gets combination/pushdown coverage, and no record/regenerate mode — every
                          golden is hand-typed.

                          2. Proposal

                          A framework that exercises reasonable multi-command pipelines and verifies each command pushes
                          down as expected, structured so a new/changed command is caught automatically. Four pieces:

                          1. Shape oracle — parse the physical explain into the set of pushed PushDownType tokens and
                            verify it bidirectionally: a missing token is a pushdown loss ([BugFix] Restore dedup pushdown when combined with WHERE clause (#5482) opensearch-project/sql#5488 class), an extra token
                            an undeclared gain. Expectations are computed from a command→token map and the field types
                            (field-type-aware), never recorded — so a behavior change always turns the suite red.
                          2. Differential oracle — run a pipeline with pushdown on vs off and assert identical results
                            (schema-checked, order-insensitive multiset, per-cell ULP tolerance), with a documented exclusion
                            list for legitimate divergences. This is the academic NoREC oracle, applied intra-engine.
                          3. Reasonable-combination generator — a field-availability-aware validity model that emits valid
                            pipelines (never referencing a dropped field; no redundant adjacency) — not a cartesian product.
                          4. Coverage gate — reflect the active grammar's OpenSearchPPLParser.ruleNames; a new/renamed
                            command fails the build until it is declared, forcing combination + pushdown coverage.

                          Why this design (prior art)

                          • TrinoBaseConnectorTest (isFullyPushedDown() / isNotFullyPushedDown(NodeClass) /
                            skipResultsCorrectnessCheckForPushdown()) is our shape oracle, including the shape/result
                            decoupling.
                          • SQLancer NoREC (optimizer on-vs-off result differential, 51 optimization bugs found) is our
                            differential oracle — and being intra-engine it sidesteps the cross-dialect objection PQS
                            raises against differential testing.
                          • Elastic ES|QL (our closest sibling) validates the corpus + random pipeline generator; we borrow
                            its cheap error-classification oracle (a valid pipeline must not throw). ES|QL verifies pushdown
                            shape only via separate optimizer-rule unit tests — our integrated token oracle on the live explain
                            unifies all three.

                          3. What's already built (proof of concept)

                          A working POC on poc/ppl-combination-pushdown-tests, production-shaped and green:

                          • Classes:PushdownShapeOracle, DifferentialComparator, CombinationModel (field-type
                            eligibility), PipelineGenerator, QueryResults, PushdownDifferentialTestCase.
                          • Tests (all passing):CommandCoverageGateTest (ppl); PushdownShapeOracleIT (parser validated
                            on 367 real goldens + the command→token map on 90 benchmark queries); DifferentialComparatorIT;
                            CombinationModelIT; CalcitePplCombinationShapeIT (shape oracle on a live cluster);
                            CalcitePplDifferentialIT (differential on a live cluster, incl. AVG ULP); PipelineGeneratorIT;
                            and CalcitePplGeneratedDifferentialIT — the generator's 100 pipelines (20 two-command +
                            80 three-command), each verified pushdown-invariant on a live cluster with zero per-pipeline test
                            code
                            . Adding a command template or an index field expands coverage automatically.

                          4. The framework already found (and we fixed) real bugs

                          Pointing the framework's lens at current main surfaced a family of latent pushdown bugs sharing one
                          root cause — the keyword-subfield guard the dedup path has was missing in the sort, sort-expr and
                          aggregate-terms paths. Fixed on fix/sort-pushdown-text-keyword-guard:

                          • sort <text-expr-key> sorted on the raw analyzed field → wrong order / HTTP error (the genuine
                            bug); now sorts on .keyword or declines cleanly.
                          • sort/stats by on a text-without-.keyword field relied on a swallowed exception; now declines
                            explicitly.

                          Verified with no regressions: CalciteSortCommandIT (30), CalcitePPLAggregationIT (100),
                          CalciteExplainIT (258, 0 failures, no golden moved). This is the ROI: the framework catches this
                          class automatically and continuously.

                          5. Project tenets (what every review asks)

                          1. Adequacy is measured (branch + interlock + field-type coverage; mutation kill-rate;
                            historical-bug replay), not a query count.
                          2. Expectations are declared, never recorded — or detection is destroyed.
                          3. Detection is bidirectional (a pushdown gain is as loud as a loss).
                          4. You maintain intent, not artifacts — one declarative line, not hundreds of goldens.
                          5. Combinations must be reasonable (field-availability + position), never cartesian.
                          6. Two oracles, two failure modes (shape for loss/gain; differential for wrong rows).
                          7. Robust to churn, sensitive to behavior (token presence, not digests/ordinals).

                          6. Execution model

                          Tiered, not one CI job: cheap forcing-functions gate every PR (ppl coverage gate; cluster-free
                          oracle/map checks; a small live smoke subset); the full generated sweep + mutation/coverage run
                          nightly. The generator produces cases at runtime from the manifest, so adding coverage adds no
                          files
                          .

                          7. Open questions / next steps

                          • Generator depth and breadth (more index profiles; order-sensitive comparison for total-order sorts).
                          • Adopt the ES|QL error-classification oracle as a first-line generator check (partially in the
                            generated-differential IT already).
                          • Wire the nightly lane + mutation (PIT) on the pushdown rule classes for the adequacy numbers.
                          • Land the bug fix (fix/sort-pushdown-text-keyword-guard) as its own PR upstream.

                          Feedback welcome on: the two-oracle split, the coverage-gate-as-forcing-function approach, and how
                          aggressively to grow the generator vs curate a corpus.

                          Metadata

                          Metadata

                          Assignees

                          No one assigned

                            Labels

                            No labels
                            No labels

                            Projects

                            No projects

                              Milestone

                              No milestone

                              Relationships

                              None yet

                              Development

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                              RFC: Scalable PPL command-combination + pushdown verification testing #10

                              Description

                              @RyanL1997

                              Branches (on this fork)

                              Design doc: docs/dev/ppl-combination-pushdown-test-framework.md · RFC source: docs/dev/rfc-ppl-combination-pushdown-testing.md (both on the framework branch).


                              RFC: Scalable PPL command-combination + pushdown verification testing

                              Status: Draft for discussion · Author:@RyanL1997 · Date: 2026-06-25

                              Full design: docs/dev/ppl-combination-pushdown-test-framework.md.
                              Proof-of-concept branches (on this fork): poc/ppl-combination-pushdown-tests (framework),
                              fix/sort-pushdown-text-keyword-guard (a real bug the framework surfaced).

                              1. Problem

                              PPL pushdown tests are overwhelmingly single-command in intent. Explain coverage is ~338
                              hand-written golden files, almost all one command. The bugs this misses are adjacency bugs — an
                              operator that pushes down fine alone breaks when a neighbour is present. The two motivating
                              fixes are exactly this class:

                              These are two distinct failure modes (lost pushdown vs wrong DSL→wrong rows), and single-command
                              goldens structurally cannot catch either. There is no systematic combination coverage, no mechanism
                              to ensure a new command gets combination/pushdown coverage, and no record/regenerate mode — every
                              golden is hand-typed.

                              2. Proposal

                              A framework that exercises reasonable multi-command pipelines and verifies each command pushes
                              down as expected, structured so a new/changed command is caught automatically. Four pieces:

                              1. Shape oracle — parse the physical explain into the set of pushed PushDownType tokens and
                                verify it bidirectionally: a missing token is a pushdown loss ([BugFix] Restore dedup pushdown when combined with WHERE clause (#5482) opensearch-project/sql#5488 class), an extra token
                                an undeclared gain. Expectations are computed from a command→token map and the field types
                                (field-type-aware), never recorded — so a behavior change always turns the suite red.
                              2. Differential oracle — run a pipeline with pushdown on vs off and assert identical results
                                (schema-checked, order-insensitive multiset, per-cell ULP tolerance), with a documented exclusion
                                list for legitimate divergences. This is the academic NoREC oracle, applied intra-engine.
                              3. Reasonable-combination generator — a field-availability-aware validity model that emits valid
                                pipelines (never referencing a dropped field; no redundant adjacency) — not a cartesian product.
                              4. Coverage gate — reflect the active grammar's OpenSearchPPLParser.ruleNames; a new/renamed
                                command fails the build until it is declared, forcing combination + pushdown coverage.

                              Why this design (prior art)

                              • TrinoBaseConnectorTest (isFullyPushedDown() / isNotFullyPushedDown(NodeClass) /
                                skipResultsCorrectnessCheckForPushdown()) is our shape oracle, including the shape/result
                                decoupling.
                              • SQLancer NoREC (optimizer on-vs-off result differential, 51 optimization bugs found) is our
                                differential oracle — and being intra-engine it sidesteps the cross-dialect objection PQS
                                raises against differential testing.
                              • Elastic ES|QL (our closest sibling) validates the corpus + random pipeline generator; we borrow
                                its cheap error-classification oracle (a valid pipeline must not throw). ES|QL verifies pushdown
                                shape only via separate optimizer-rule unit tests — our integrated token oracle on the live explain
                                unifies all three.

                              3. What's already built (proof of concept)

                              A working POC on poc/ppl-combination-pushdown-tests, production-shaped and green:

                              • Classes:PushdownShapeOracle, DifferentialComparator, CombinationModel (field-type
                                eligibility), PipelineGenerator, QueryResults, PushdownDifferentialTestCase.
                              • Tests (all passing):CommandCoverageGateTest (ppl); PushdownShapeOracleIT (parser validated
                                on 367 real goldens + the command→token map on 90 benchmark queries); DifferentialComparatorIT;
                                CombinationModelIT; CalcitePplCombinationShapeIT (shape oracle on a live cluster);
                                CalcitePplDifferentialIT (differential on a live cluster, incl. AVG ULP); PipelineGeneratorIT;
                                and CalcitePplGeneratedDifferentialIT — the generator's 100 pipelines (20 two-command +
                                80 three-command), each verified pushdown-invariant on a live cluster with zero per-pipeline test
                                code
                                . Adding a command template or an index field expands coverage automatically.

                              4. The framework already found (and we fixed) real bugs

                              Pointing the framework's lens at current main surfaced a family of latent pushdown bugs sharing one
                              root cause — the keyword-subfield guard the dedup path has was missing in the sort, sort-expr and
                              aggregate-terms paths. Fixed on fix/sort-pushdown-text-keyword-guard:

                              • sort <text-expr-key> sorted on the raw analyzed field → wrong order / HTTP error (the genuine
                                bug); now sorts on .keyword or declines cleanly.
                              • sort/stats by on a text-without-.keyword field relied on a swallowed exception; now declines
                                explicitly.

                              Verified with no regressions: CalciteSortCommandIT (30), CalcitePPLAggregationIT (100),
                              CalciteExplainIT (258, 0 failures, no golden moved). This is the ROI: the framework catches this
                              class automatically and continuously.

                              5. Project tenets (what every review asks)

                              1. Adequacy is measured (branch + interlock + field-type coverage; mutation kill-rate;
                                historical-bug replay), not a query count.
                              2. Expectations are declared, never recorded — or detection is destroyed.
                              3. Detection is bidirectional (a pushdown gain is as loud as a loss).
                              4. You maintain intent, not artifacts — one declarative line, not hundreds of goldens.
                              5. Combinations must be reasonable (field-availability + position), never cartesian.
                              6. Two oracles, two failure modes (shape for loss/gain; differential for wrong rows).
                              7. Robust to churn, sensitive to behavior (token presence, not digests/ordinals).

                              6. Execution model

                              Tiered, not one CI job: cheap forcing-functions gate every PR (ppl coverage gate; cluster-free
                              oracle/map checks; a small live smoke subset); the full generated sweep + mutation/coverage run
                              nightly. The generator produces cases at runtime from the manifest, so adding coverage adds no
                              files
                              .

                              7. Open questions / next steps

                              • Generator depth and breadth (more index profiles; order-sensitive comparison for total-order sorts).
                              • Adopt the ES|QL error-classification oracle as a first-line generator check (partially in the
                                generated-differential IT already).
                              • Wire the nightly lane + mutation (PIT) on the pushdown rule classes for the adequacy numbers.
                              • Land the bug fix (fix/sort-pushdown-text-keyword-guard) as its own PR upstream.

                              Feedback welcome on: the two-oracle split, the coverage-gate-as-forcing-function approach, and how
                              aggressively to grow the generator vs curate a corpus.

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