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planner: derive static probe pruning conds for index join#67549

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AilinKid:fix-indexjoin-static-partition-pruning
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planner: derive static probe pruning conds for index join#67549
AilinKid wants to merge 3 commits into
pingcap:masterfrom
AilinKid:fix-indexjoin-static-partition-pruning

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@AilinKid AilinKid commented Apr 3, 2026

What problem does this PR solve?

Issue Number: ref #67440

Problem Summary:

For index join over a partitioned probe-side table, the planner only used the probe table's existing pruning conditions. When the join predicates implied a coarse static range on the probe partition key, the probe-side scan could still keep partition:all.

What changed and how does it work?

image

This change derives coarse static probe-side partition pruning conditions during index join planning and threads them into the probe scan task's partition pruning info.

As shown above, there are two issues here.

First, the probe side of IndexJoin did not carry the extra probe-side partition pruning information derived from the join itself. It still had its normal PlanPartInfo, but that info only contained the DataSource's existing
pruning conditions. As a result, EXPLAIN often showed partition:all.

Second, the existing runtime pruning on the probe side could only use the dynamic lookup contents built from outer rows. Those lookup contents contain join keys only, not columns that appear only in other conds. Therefore,
for cases where the probe partition key is constrained only through other conds, executor-side runtime pruning cannot narrow partitions and may still send RPCs to all candidate partitions.

To address this, when building IndexJoin, we collect the inner child's partition key and derive additional coarse static pruning conditions from the outer side. These derived conditions are attached to the probe scan's
partition pruning info through IndexJoinProp.

We currently cover two cases:

  1. If the partition key is also a join key, the join predicate is a simple equality, so the outer key's static conditions can be translated directly into pruning conditions on the probe partition key.

  2. If the partition key appears only in other conds, we first check whether the predicate is monotonic with respect to the outer join key. If it is, we derive a coarse range on the partition key by:

    • inverting or normalizing the monotonic predicate onto the outer key side, and
    • combining it with the outer key's static conditions.

The original join predicates are still preserved for correctness. The newly derived predicates are used only for earlier partition pruning.

Check List

Tests

  • Unit test
  • Integration test
  • Manual test (add detailed scripts or steps below)
  • No need to test
    • I checked and no code files have been changed.

Side effects

  • Performance regression: Consumes more CPU
  • Performance regression: Consumes more Memory
  • Breaking backward compatibility

Documentation

  • Affects user behaviors
  • Contains syntax changes
  • Contains variable changes
  • Contains experimental features
  • Changes MySQL compatibility

Release note

None

Summary by CodeRabbit

  • New Features

    • Enhanced partition pruning for index joins: the planner now derives probe-side static partition pruning to reduce scanned partitions and improve query performance on partitioned tables.
  • Tests

    • Added regression tests that validate partition-pruning behavior for index-join scenarios, ensuring correct and deterministic restricted partition selection.

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ti-chi-bot Bot commented Apr 3, 2026

Skipping CI for Draft Pull Request.
If you want CI signal for your change, please convert it to an actual PR.
You can still manually trigger a test run with /test all

@ti-chi-bot ti-chi-bot Bot added release-note-none Denotes a PR that doesn't merit a release note. do-not-merge/work-in-progress Indicates that a PR should not merge because it is a work in progress. labels Apr 3, 2026
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coderabbitai Bot commented Apr 3, 2026

📝 Walkthrough

Walkthrough

Derives probe-side static partition pruning predicates for index joins during physical plan construction, threads them into IndexJoin runtime properties, updates physical plan enumeration to pass these props into inner scan task constructors, adds tests, and updates build/test configs.

Changes

Cohort / File(s) Summary
Build / Test Config
pkg/planner/core/BUILD.bazel, pkg/planner/core/casetest/partition/BUILD.bazel
Added new Go source to core build (index_join_partition_pruning.go) and increased partition test shard_count from 19 to 21.
Index Join Partition Pruning Impl
pkg/planner/core/index_join_partition_pruning.go
New implementation: derives probe-side partition pruning conditions from outer static filters and join keys, normalizes monotone patterns, builds column ranges via ranger, folds constants, and emits grouped pruning conditions per inner partition column.
Physical Plan Enumeration
pkg/planner/core/exhaust_physical_plans.go
Refactored index-join enumeration to construct IndexJoinRuntimeProp via a helper and pass it into inner scan task constructors; updated call sites to accept the prop and use it when building partition-info.
Physical Property Extensions
pkg/planner/property/physical_property.go
Added ProbePartitionPruningCondGroup type and IndexJoinRuntimeProp.ProbePartitionPruningConds; updated CloneEssentialFields and PhysicalProperty.HashCode to clone/hash the new grouped conditions and copy join key slices.
Tests
pkg/planner/core/casetest/partition/partition_pruner_test.go
Added parsing utilities for plan_tree and two regression tests that assert static probe-side partition pruning derivation for index joins (including an equality-join-key case).

Sequence Diagram

sequenceDiagram
    participant Planner as Planner/Enumerator
    participant Extract as OuterFilterExtractor
    participant Derive as PruningDeriver
    participant Ranger as RangerBuilder
    participant Apply as PhysicalPlanBuilder

    Planner->>Extract: Collect deduped outer static filters (DS/Selection/Proj/UnionScan)
    Planner->>Derive: Provide join keys and normalized join predicates
    Extract-->>Derive: Supply outer static expressions
    Derive->>Ranger: Build column ranges / normalize monotone patterns
    Ranger-->>Derive: Return low/high bounds (fold constants where possible)
    Derive-->>Planner: Emit ProbePartitionPruningCondGroup(s) into IndexJoinRuntimeProp
    Planner->>Apply: Pass IndexJoinRuntimeProp into inner scan task constructors
    Apply->>Apply: buildPartInfoFromIndexJoinProp attaches pruning conds to PhysPlanPartInfo
Loading

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~50 minutes

Possibly related PRs

Suggested reviewers

  • qw4990
  • guo-shaoge
  • hawkingrei

Poem

🐰 I hop through joins with nimble paws,
I sniff outer filters, find their laws,
I fold constants, bound each partition,
Whisper pruning in planner’s contrition,
Hooray — fewer rows and happier jaws!

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 23.53% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title 'planner: derive static probe pruning conds for index join' directly and accurately summarizes the main change: deriving static probe-side partition pruning conditions for index join operations.
Description check ✅ Passed The PR description includes issue reference (#67440), clear problem statement, detailed explanation of the changes, test confirmation (unit test added), and release notes. All major template sections are adequately addressed.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

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@ti-chi-bot ti-chi-bot Bot added sig/planner SIG: Planner size/XXL Denotes a PR that changes 1000+ lines, ignoring generated files. labels Apr 3, 2026
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@AilinKid AilinKid marked this pull request as ready for review April 3, 2026 08:18
@ti-chi-bot ti-chi-bot Bot removed the do-not-merge/work-in-progress Indicates that a PR should not merge because it is a work in progress. label Apr 3, 2026
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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@pkg/planner/core/index_join_partition_pruning.go`:
- Around line 250-255: The current code appends derived probe predicates into
partInfo.PruningConds which may share backing storage from
buildPhysPlanPartInfo(ds), causing later plans to mutate earlier ones; fix by
copying partInfo.PruningConds to a new slice before appending the extraConds
returned by getIndexJoinProbePartitionPruningConds(ds, indexJoinProp) (e.g.,
make a new slice and append the existing PruningConds into it, then append
extraConds) so DataSource reuse with different IndexJoinRuntimeProp cannot
overwrite shared PruningConds.
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📒 Files selected for processing (6)
  • pkg/planner/core/BUILD.bazel
  • pkg/planner/core/casetest/partition/BUILD.bazel
  • pkg/planner/core/casetest/partition/partition_pruner_test.go
  • pkg/planner/core/exhaust_physical_plans.go
  • pkg/planner/core/index_join_partition_pruning.go
  • pkg/planner/property/physical_property.go

Comment thread pkg/planner/core/index_join_partition_pruning.go Outdated
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Codecov Report

❌ Patch coverage is 53.26087% with 215 lines in your changes missing coverage. Please review.
✅ Project coverage is 77.0120%. Comparing base (2f4dff3) to head (f2f6eb0).
⚠️ Report is 84 commits behind head on master.

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@@               Coverage Diff                @@
##             master     #67549        +/-   ##
================================================
- Coverage   77.7969%   77.0120%   -0.7850%     
================================================
  Files          1984       1973        -11     
  Lines        549983     555169      +5186     
================================================
- Hits         427870     427547       -323     
- Misses       121193     127221      +6028     
+ Partials        920        401       -519     
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AilinKid commented Apr 3, 2026

/test unit-test

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@ti-chi-bot ti-chi-bot Bot added the ok-to-test Indicates a PR is ready to be tested. label Apr 3, 2026
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/retest-required

…c-partition-pruning

# Conflicts:
#	pkg/planner/core/exhaust_physical_plans.go
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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@pkg/planner/core/casetest/partition/partition_pruner_test.go`:
- Around line 287-292: The current assertions using
tk.MustQuery(...).MultiCheckContain and CheckNotContain are too permissive (they
allow plans like "partition:p1,p2"); instead, use the existing plan-partition
extraction helper to extract the plan's partition list for the same query and
assert it equals exactly ["p1"] (and similarly for the second instance at the
other lines). Replace the CheckNotContain("partition:all") and the loose
MultiCheckContain check with an exact partition-list equality assertion derived
from the helper, keeping the same tk.MustQuery invocation but validating the
extracted partition set exactly equals the single target partition "p1".
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  • pkg/planner/core/BUILD.bazel
  • pkg/planner/core/casetest/partition/partition_pruner_test.go
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  • pkg/planner/core/BUILD.bazel

Comment thread pkg/planner/core/casetest/partition/partition_pruner_test.go Outdated
@guo-shaoge guo-shaoge self-requested a review April 23, 2026 13:15
Comment thread pkg/planner/core/index_join_partition_pruning.go
Comment thread pkg/planner/core/index_join_partition_pruning.go
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Actionable comments posted: 1

🧹 Nitpick comments (1)
pkg/planner/core/index_join_partition_pruning.go (1)

589-614: Whitelist of "monotone" functions is intentionally narrow — consider a short rationale comment.

extractMonotoneColumnForIndexJoin only recognizes DATE_ADD / ADDDATE / DATE_SUB / SUBDATE with (col, const, const) shape. That's fine as a conservative first cut (and matches the typical date-partitioned use case from the PR description), but the name "monotone" reads broader than the actual support — simple arithmetic like col + const is not covered. A one-line comment noting that this is an intentionally restricted whitelist (and why other monotonic forms are deferred) would help future readers avoid re-deriving the scope decision.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@pkg/planner/core/index_join_partition_pruning.go` around lines 589 - 614, Add
a short rationale comment above the extractMonotoneColumnForIndexJoin function
explaining that the function intentionally whitelists only date-add/sub variants
(DATE_ADD/ADDDATE/DATE_SUB/SUBDATE) with the (col, const, const) argument shape
to conservatively detect monotone expressions for date-partitioned index join
use-cases, and that simpler arithmetic forms (e.g., col + const) and more
complex monotone transformations are deliberately excluded for now to avoid
incorrect matches and to keep the implementation conservative; mention that this
is a deliberate design decision and can be extended later with additional
validation.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@pkg/planner/core/index_join_partition_pruning.go`:
- Around line 181-191: The projection case in collectIndexJoinOuterStaticFilters
uses candidateCols (projection output UIDs) to pre-filter when recursing into
the projection child, causing UID mismatches and dropped filters; fix by either
(A) recursing into the child without applying candidateCols (i.e., collect all
child filters), then call substituteIndexJoinOuterFiltersThroughProjection to
remap child UIDs to projection output UIDs and only then apply
filterIndexJoinOuterStaticFilters(candidateCols,...), or (B) build a child-side
candidateCols by inverting the projection's Exprs->Schema.Columns mapping (map
projection outputs back to source column UIDs) and pass that inverted
candidateCols into the recursive collect call; apply the same pattern to
collectIndexJoinProbePartitionColumns for LogicalProjection and
LogicalAggregation to keep behavior consistent.

---

Nitpick comments:
In `@pkg/planner/core/index_join_partition_pruning.go`:
- Around line 589-614: Add a short rationale comment above the
extractMonotoneColumnForIndexJoin function explaining that the function
intentionally whitelists only date-add/sub variants
(DATE_ADD/ADDDATE/DATE_SUB/SUBDATE) with the (col, const, const) argument shape
to conservatively detect monotone expressions for date-partitioned index join
use-cases, and that simpler arithmetic forms (e.g., col + const) and more
complex monotone transformations are deliberately excluded for now to avoid
incorrect matches and to keep the implementation conservative; mention that this
is a deliberate design decision and can be extended later with additional
validation.
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Fix all unresolved CodeRabbit comments on this PR:

  • Push a commit to this branch (recommended)
  • Create a new PR with the fixes

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Run ID: bbac52d2-812f-4f51-85bd-2fa7db42a498

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📒 Files selected for processing (2)
  • pkg/planner/core/casetest/partition/partition_pruner_test.go
  • pkg/planner/core/index_join_partition_pruning.go
🚧 Files skipped from review as they are similar to previous changes (1)
  • pkg/planner/core/casetest/partition/partition_pruner_test.go

Comment on lines +181 to +191
case *logicalop.LogicalProjection:
return substituteIndexJoinOuterFiltersThroughProjection(x, collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols), candidateCols)
case *logicalop.LogicalLimit, *logicalop.LogicalTopN, *logicalop.LogicalSort:
return collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
case *logicalop.LogicalUnionScan:
filters := collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
return append(filters, filterIndexJoinOuterStaticFilters(candidateCols, x.Conditions)...)
default:
return nil
}
}
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⚠️ Potential issue | 🟠 Major

❓ Verification inconclusive

Script executed:

#!/bin/bash
# Check whether LogicalProjection preserves child column UniqueIDs for simple column pass-through,
# or allocates fresh UIDs via AllocPlanColumnID / similar.
rg -nP --type=go -C4 '\bLogicalProjection\b' pkg/planner/core/operator/logicalop | rg -nP -C2 '(UniqueID|AllocPlanColumnID|NewColumn|Schema\(\)\.Columns)' || true
rg -nP --type=go -C3 'proj\.Exprs|proj\.Schema\(\)' pkg/planner/core | rg -nP -C2 'UniqueID' || true

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

37-pkg/planner/core/operator/logicalop/logicalop_test/hash64_equals_test.go-327-	p1.Hash64(hasher1)
38---
39:pkg/planner/core/operator/logicalop/logical_union_all.go-98-				exprs := make([]expression.Expression, len(p.Schema().Columns))
40-pkg/planner/core/operator/logicalop/logical_union_all.go-99-				for j, col := range schema.Columns {
41-pkg/planner/core/operator/logicalop/logical_union_all.go-100-					exprs[j] = col
--
233-pkg/planner/core/operator/logicalop/logical_projection.go-390-	fds := p.LogicalSchemaProducer.ExtractFD()
234-pkg/planner/core/operator/logicalop/logical_projection.go-391-	// collect the output columns' unique ID.
235:pkg/planner/core/operator/logicalop/logical_projection.go-392-	outputColsUniqueIDs := intset.NewFastIntSet()
236---
237-pkg/planner/core/operator/logicalop/logical_projection.go-480-
--
341-pkg/planner/core/operator/logicalop/logical_projection.go:683:	proj, ok := p.(*LogicalProjection)
342-pkg/planner/core/operator/logicalop/logical_projection.go-684-	if !ok {
343:pkg/planner/core/operator/logicalop/logical_projection.go:685:		proj = LogicalProjection{Exprs: expression.Column2Exprs(p.Schema().Columns)}.Init(p.SCtx(), p.QueryBlockOffset())
344-pkg/planner/core/operator/logicalop/logical_projection.go-686-		proj.SetSchema(p.Schema().Clone())
345-pkg/planner/core/operator/logicalop/logical_projection.go-687-		proj.SetChildren(p)
--
430-pkg/planner/core/operator/logicalop/logical_join.go-1931-	}
431-pkg/planner/core/operator/logicalop/logical_join.go:1932:	proj = LogicalProjection{Exprs: make([]expression.Expression, 0, child.Schema().Len())}.Init(p.SCtx(), child.QueryBlockOffset())
432:pkg/planner/core/operator/logicalop/logical_join.go-1933-	for _, col := range child.Schema().Columns {
433-pkg/planner/core/operator/logicalop/logical_join.go-1934-		proj.Exprs = append(proj.Exprs, col)
434-pkg/planner/core/operator/logicalop/logical_join.go-1935-	}
--
440-pkg/planner/core/operator/logicalop/logical_join.go-2069-	innerJoin.AttachOnConds(expression.ScalarFuncs2Exprs(p.EqualConditions))
441-pkg/planner/core/operator/logicalop/logical_join.go:2070:	proj := LogicalProjection{
442:pkg/planner/core/operator/logicalop/logical_join.go-2071-		Exprs: expression.Column2Exprs(p.Children()[0].Schema().Columns),
443-pkg/planner/core/operator/logicalop/logical_join.go-2072-	}.Init(p.SCtx(), p.QueryBlockOffset())
444-pkg/planner/core/operator/logicalop/logical_join.go-2073-	proj.SetChildren(innerJoin)
210-pkg/planner/core/rule/rule_order_aware_join_reorder.go-236-		}
211---
212:pkg/planner/core/rule/rule_join_key_type_cast.go-196-			UniqueID: intInfo.origCol.UniqueID,
213-pkg/planner/core/rule/rule_join_key_type_cast.go-197-			RetType:  intInfo.origCol.RetType.Clone(),
214-pkg/planner/core/rule/rule_join_key_type_cast.go-198-		}
--
217-pkg/planner/core/rule/rule_join_key_type_cast.go-201-
218-pkg/planner/core/rule/rule_join_key_type_cast.go-202-		// VARCHAR side: add CAST(varchar_col AS SIGNED). We allocate a new
219:pkg/planner/core/rule/rule_join_key_type_cast.go-203-		// UniqueID here because the data type changes (VARCHAR→INT), and
220---
221:pkg/planner/core/rule/rule_join_key_type_cast.go-208-			UniqueID: ctx.GetSessionVars().AllocPlanColumnID(),
222-pkg/planner/core/rule/rule_join_key_type_cast.go-209-			RetType:  castIntExpr.GetType(evalCtx).Clone(),
223-pkg/planner/core/rule/rule_join_key_type_cast.go-210-		}
--
233-pkg/planner/core/rule/rule_join_key_type_cast.go:270:	schema := proj.Schema()
234-pkg/planner/core/rule/rule_join_key_type_cast.go-271-	for i, schemaCol := range schema.Columns {
235:pkg/planner/core/rule/rule_join_key_type_cast.go-272-		if schemaCol.UniqueID != col.UniqueID {
236-pkg/planner/core/rule/rule_join_key_type_cast.go-273-			continue
237-pkg/planner/core/rule/rule_join_key_type_cast.go-274-		}
--
258-pkg/planner/core/planbuilder.go:723:		proj.Exprs = append(proj.Exprs, expr)
259-pkg/planner/core/planbuilder.go-724-		schema.Append(&expression.Column{
260:pkg/planner/core/planbuilder.go-725-			UniqueID: b.ctx.GetSessionVars().AllocPlanColumnID(),
261-pkg/planner/core/planbuilder.go-726-			RetType:  expr.GetType(b.ctx.GetExprCtx().GetEvalCtx()),
262---
--
266-pkg/planner/core/planbuilder.go:3647:			proj.Exprs = append(proj.Exprs, col)
267-pkg/planner/core/planbuilder.go-3648-			newCol := col.Clone().(*expression.Column)
268:pkg/planner/core/planbuilder.go-3649-			newCol.UniqueID = b.ctx.GetSessionVars().AllocPlanColumnID()
269-pkg/planner/core/planbuilder.go-3650-			schema.Append(newCol)
270---
--
304-pkg/planner/core/expression_rewriter.go:968:	proj.Exprs = append(proj.Exprs, cond)
305-pkg/planner/core/expression_rewriter.go:969:	proj.Schema().Append(&expression.Column{
306:pkg/planner/core/expression_rewriter.go-970-		UniqueID: sessVars.AllocPlanColumnID(),
307-pkg/planner/core/expression_rewriter.go-971-		RetType:  cond.GetType(er.sctx.GetEvalCtx()),
308-pkg/planner/core/expression_rewriter.go-972-	})
--
384-pkg/planner/core/logical_plan_builder.go-1925-				name := ""
385-pkg/planner/core/logical_plan_builder.go:1926:				for idx, schemaCol := range proj.Schema().Columns {
386:pkg/planner/core/logical_plan_builder.go-1927-					if schemaCol.UniqueID == errShowCol.UniqueID {
387-pkg/planner/core/logical_plan_builder.go-1928-						name = proj.OutputNames()[idx].String()
388-pkg/planner/core/logical_plan_builder.go-1929-						break
--
390-pkg/planner/core/logical_plan_builder.go-1941-			if fds.GroupByCols.Only1Zero() {
391-pkg/planner/core/logical_plan_builder.go-1942-				// maxOneRow is delayed from agg's ExtractFD logic since some details listed in it.
392:pkg/planner/core/logical_plan_builder.go-1943-				projectionUniqueIDs := intset.NewFastIntSet()
393-pkg/planner/core/logical_plan_builder.go:1944:				for _, expr := range proj.Exprs {
394-pkg/planner/core/logical_plan_builder.go-1945-					switch x := expr.(type) {
395-pkg/planner/core/logical_plan_builder.go-1946-					case *expression.Column:
396:pkg/planner/core/logical_plan_builder.go-1947-						projectionUniqueIDs.Insert(int(x.UniqueID))
397---
398-pkg/planner/core/logical_plan_builder.go-1960-			fds.HasAggBuilt = false
--
464-pkg/planner/core/logical_plan_builder.go-6774-		proj.SetOutputNames(append(proj.OutputNames(), types.EmptyName))
465-pkg/planner/core/logical_plan_builder.go-6775-		col := &expression.Column{
466:pkg/planner/core/logical_plan_builder.go-6776-			UniqueID: b.ctx.GetSessionVars().AllocPlanColumnID(),
467-pkg/planner/core/logical_plan_builder.go-6777-			RetType:  newArg.GetType(b.ctx.GetExprCtx().GetEvalCtx()),
468-pkg/planner/core/logical_plan_builder.go-6778-		}
--
485-pkg/planner/core/logical_plan_builder.go-6848-		proj.SetOutputNames(append(proj.OutputNames(), types.EmptyName))
486-pkg/planner/core/logical_plan_builder.go-6849-		col := &expression.Column{
487:pkg/planner/core/logical_plan_builder.go-6850-			UniqueID: b.ctx.GetSessionVars().AllocPlanColumnID(),
488-pkg/planner/core/logical_plan_builder.go-6851-			RetType:  it.GetType(b.ctx.GetExprCtx().GetEvalCtx()),
489-pkg/planner/core/logical_plan_builder.go-6852-		}


Script executed:

# First, let's examine the exact code in index_join_partition_pruning.go around lines 160-256
cat -n pkg/planner/core/index_join_partition_pruning.go | sed -n '150,260p'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

   150			case *logicalop.DataSource:
   151				partCol := getSingleInnerPartitionColumnForIndexJoin(x)
   152				if partCol == nil {
   153					return
   154				}
   155				if _, ok := seen[partCol.UniqueID]; ok {
   156					return
   157				}
   158				seen[partCol.UniqueID] = struct{}{}
   159				result = append(result, partCol)
   160			case *logicalop.LogicalSelection, *logicalop.LogicalProjection, *logicalop.LogicalAggregation, *logicalop.LogicalUnionScan:
   161				if len(x.Children()) == 1 {
   162					collect(x.Children()[0])
   163				}
   164			case *logicalop.LogicalJoin:
   165				for _, child := range x.Children() {
   166					collect(child)
   167				}
   168			}
   169		}
   170		collect(p)
   171		return result
   172	}
   173	
   174	func collectIndexJoinOuterStaticFilters(p base.LogicalPlan, candidateCols map[int64]struct{}) []expression.Expression {
   175		switch x := p.(type) {
   176		case *logicalop.DataSource:
   177			return filterIndexJoinOuterStaticFilters(candidateCols, x.AllConds)
   178		case *logicalop.LogicalSelection:
   179			filters := collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
   180			return append(filters, filterIndexJoinOuterStaticFilters(candidateCols, x.Conditions)...)
   181		case *logicalop.LogicalProjection:
   182			return substituteIndexJoinOuterFiltersThroughProjection(x, collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols), candidateCols)
   183		case *logicalop.LogicalLimit, *logicalop.LogicalTopN, *logicalop.LogicalSort:
   184			return collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
   185		case *logicalop.LogicalUnionScan:
   186			filters := collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
   187			return append(filters, filterIndexJoinOuterStaticFilters(candidateCols, x.Conditions)...)
   188		default:
   189			return nil
   190		}
   191	}
   192	
   193	func filterIndexJoinOuterStaticFilters(candidateCols map[int64]struct{}, filters []expression.Expression) []expression.Expression {
   194		result := make([]expression.Expression, 0, len(filters))
   195		seen := make(map[string]struct{}, len(filters))
   196		for _, filter := range filters {
   197			cols := expression.ExtractColumns(filter)
   198			if len(cols) != 1 {
   199				continue
   200			}
   201			if _, ok := candidateCols[cols[0].UniqueID]; !ok {
   202				continue
   203			}
   204			key := string(filter.HashCode())
   205			if _, ok := seen[key]; ok {
   206				continue
   207			}
   208			seen[key] = struct{}{}
   209			result = append(result, filter)
   210		}
   211		return result
   212	}
   213	
   214	// substituteIndexJoinOuterFiltersThroughProjection handles the common outer-side shape
   215	// DataSource/Selection -> Projection -> IndexJoin. Static filters are collected from the
   216	// child side, but pruning candidates are tracked in the projection schema, so we remap
   217	// pass-through column references through the projection before matching them again.
   218	func substituteIndexJoinOuterFiltersThroughProjection(
   219		proj *logicalop.LogicalProjection,
   220		filters []expression.Expression,
   221		candidateCols map[int64]struct{},
   222	) []expression.Expression {
   223		if len(filters) == 0 {
   224			return nil
   225		}
   226		replace := make(map[string]*expression.Column, len(proj.Exprs))
   227		for i, expr := range proj.Exprs {
   228			col, ok := expr.(*expression.Column)
   229			if !ok {
   230				continue
   231			}
   232			replace[string(col.HashCode())] = proj.Schema().Columns[i]
   233		}
   234		if len(replace) == 0 {
   235			return nil
   236		}
   237		result := make([]expression.Expression, 0, len(filters))
   238		for _, filter := range filters {
   239			cols := expression.ExtractColumns(filter)
   240			if len(cols) == 0 {
   241				continue
   242			}
   243			canSubstitute := true
   244			for _, col := range cols {
   245				if replace[string(col.HashCode())] == nil {
   246					canSubstitute = false
   247					break
   248				}
   249			}
   250			if !canSubstitute {
   251				continue
   252			}
   253			result = append(result, ruleutil.ResolveExprAndReplace(filter.Clone(), replace))
   254		}
   255		return filterIndexJoinOuterStaticFilters(candidateCols, result)
   256	}
   257	
   258	func buildPartInfoFromIndexJoinProp(
   259		ds *logicalop.DataSource,
   260		indexJoinProp *property.IndexJoinRuntimeProp,


Script executed:

# Check the filterIndexJoinOuterStaticFilters function to see how it matches UIDs
cat -n pkg/planner/core/index_join_partition_pruning.go | sed -n '195,230p'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

   195		seen := make(map[string]struct{}, len(filters))
   196		for _, filter := range filters {
   197			cols := expression.ExtractColumns(filter)
   198			if len(cols) != 1 {
   199				continue
   200			}
   201			if _, ok := candidateCols[cols[0].UniqueID]; !ok {
   202				continue
   203			}
   204			key := string(filter.HashCode())
   205			if _, ok := seen[key]; ok {
   206				continue
   207			}
   208			seen[key] = struct{}{}
   209			result = append(result, filter)
   210		}
   211		return result
   212	}
   213	
   214	// substituteIndexJoinOuterFiltersThroughProjection handles the common outer-side shape
   215	// DataSource/Selection -> Projection -> IndexJoin. Static filters are collected from the
   216	// child side, but pruning candidates are tracked in the projection schema, so we remap
   217	// pass-through column references through the projection before matching them again.
   218	func substituteIndexJoinOuterFiltersThroughProjection(
   219		proj *logicalop.LogicalProjection,
   220		filters []expression.Expression,
   221		candidateCols map[int64]struct{},
   222	) []expression.Expression {
   223		if len(filters) == 0 {
   224			return nil
   225		}
   226		replace := make(map[string]*expression.Column, len(proj.Exprs))
   227		for i, expr := range proj.Exprs {
   228			col, ok := expr.(*expression.Column)
   229			if !ok {
   230				continue


Script executed:

# Look at how LogicalProjection.SetSchema works and whether it preserves child UIDs
rg -nA15 'func.*LogicalProjection.*SetSchema' pkg/planner/core/operator/logicalop/logical_projection.go || true
rg -nA10 'type LogicalProjection struct' pkg/planner/core/operator/logicalop/logical_projection.go | head -30

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

33:type LogicalProjection struct {
34-	LogicalSchemaProducer `hash64-equals:"true"`
35-
36-	Exprs []expression.Expression `hash64-equals:"true" shallow-ref:"true"`
37-
38-	// CalculateNoDelay indicates this Projection is the root Plan and should be
39-	// calculated without delay and will not return any result to client.
40-	// Currently it is "true" only when the current sql query is a "DO" statement.
41-	// See "https://dev.mysql.com/doc/refman/5.7/en/do.html" for more detail.
42-	CalculateNoDelay bool `hash64-equals:"true"`
43-


Script executed:

# Understand substituteIndexJoinOuterFiltersThroughProjection implementation
rg -nA30 'func substituteIndexJoinOuterFiltersThroughProjection' pkg/planner/core/index_join_partition_pruning.go

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

218:func substituteIndexJoinOuterFiltersThroughProjection(
219-	proj *logicalop.LogicalProjection,
220-	filters []expression.Expression,
221-	candidateCols map[int64]struct{},
222-) []expression.Expression {
223-	if len(filters) == 0 {
224-		return nil
225-	}
226-	replace := make(map[string]*expression.Column, len(proj.Exprs))
227-	for i, expr := range proj.Exprs {
228-		col, ok := expr.(*expression.Column)
229-		if !ok {
230-			continue
231-		}
232-		replace[string(col.HashCode())] = proj.Schema().Columns[i]
233-	}
234-	if len(replace) == 0 {
235-		return nil
236-	}
237-	result := make([]expression.Expression, 0, len(filters))
238-	for _, filter := range filters {
239-		cols := expression.ExtractColumns(filter)
240-		if len(cols) == 0 {
241-			continue
242-		}
243-		canSubstitute := true
244-		for _, col := range cols {
245-			if replace[string(col.HashCode())] == nil {
246-				canSubstitute = false
247-				break
248-			}


Script executed:

# Find where collectIndexJoinProbePartitionColumns is called and how candidateCols is built
rg -nB5 'collectIndexJoinProbePartitionColumns' pkg/planner/core/index_join_partition_pruning.go

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

84-	outerSchema *expression.Schema,
85-	innerJoinKeys []*expression.Column,
86-	outerJoinKeys []*expression.Column,
87-	otherConds []expression.Expression,
88-) []property.ProbePartitionPruningCondGroup {
89:	innerPartCols := collectIndexJoinProbePartitionColumns(innerChild)
--
139-		}
140-	}
141-	return candidateCols
142-}
143-
144:func collectIndexJoinProbePartitionColumns(p base.LogicalPlan) []*expression.Column {


Script executed:

# Look at how candidateCols is created from the projection schema
rg -nA20 'func tryIndexJoinPartitionPruning' pkg/planner/core/index_join_partition_pruning.go | head -50

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Check LogicalProjection.SetSchema and if it preserves or allocates UIDs
rg -nA8 'func.*\(p \*LogicalProjection\).*SetSchema' pkg/planner/core/operator/logicalop/logical_projection.go

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 1


Script executed:

# Search for tests of this feature with projections
rg -l 'collectIndexJoinProbePartitionColumns|index.*partition.*prun' --type=go pkg/planner/core/ | xargs -I{} basename {}

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

planbuilder.go
index_join_partition_pruning.go


Script executed:

# Look at the full tryIndexJoinPartitionPruning function to see how candidateCols is built
rg -nA40 'func tryIndexJoinPartitionPruning' pkg/planner/core/index_join_partition_pruning.go

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 1


Script executed:

# Check how the function is called from physical plan building
rg -nB3 -A3 'tryIndexJoinPartitionPruning' pkg/planner/core/ --type=go

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 1


Script executed:

# Look at LogicalProjection initialization and schema setup
rg -nA20 'func.*NewLogicalProjection\|Init.*LogicalProjection' pkg/planner/core/operator/logicalop/logical_projection.go | head -40

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Verify the issue: in a projection context, do columns get fresh UniqueIDs?
# Check if Schema().Clone() preserves or resets UIDs
rg -nA5 'func.*Schema.*Clone' pkg/expression/schema.go | head -30

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

75:func (s *Schema) Clone() *Schema {
76-	if s == nil {
77-		return nil
78-	}
79-	cols := make([]*Column, 0, s.Len())
80-	keys := make([]KeyInfo, 0, len(s.PKOrUK))


Script executed:

# Search for all references to collectIndexJoinProbePartitionColumns
rg -nB10 -A10 'collectIndexJoinProbePartitionColumns\|collectIndexJoinOuterStaticFilters' pkg/planner/core/index_join_partition_pruning.go | head -80

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Look at the full function that contains line 89
cat -n pkg/planner/core/index_join_partition_pruning.go | sed -n '50,145p'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

    50		tableRangeScan bool,
    51	) *property.IndexJoinRuntimeProp {
    52		var (
    53			innerJoinKeys []*expression.Column
    54			outerJoinKeys []*expression.Column
    55		)
    56		if outerIdx == 0 {
    57			outerJoinKeys, innerJoinKeys, _, _ = join.GetJoinKeys()
    58		} else {
    59			innerJoinKeys, outerJoinKeys, _, _ = join.GetJoinKeys()
    60		}
    61		return &property.IndexJoinRuntimeProp{
    62			OtherConditions: join.OtherConditions,
    63			// if inner plan doesn't contain any partition, ProbePartitionPruningConds will be nil here.
    64			ProbePartitionPruningConds: collectIndexJoinProbePartitionPruningCondGroups(
    65				join.SCtx(),
    66				join.Children()[outerIdx],
    67				join.Children()[1-outerIdx],
    68				outerSchema,
    69				innerJoinKeys,
    70				outerJoinKeys,
    71				join.OtherConditions,
    72			),
    73			InnerJoinKeys:  innerJoinKeys,
    74			OuterJoinKeys:  outerJoinKeys,
    75			AvgInnerRowCnt: avgInnerRowCnt,
    76			TableRangeScan: tableRangeScan,
    77		}
    78	}
    79	
    80	func collectIndexJoinProbePartitionPruningCondGroups(
    81		sctx base.PlanContext,
    82		outerChild base.LogicalPlan,
    83		innerChild base.LogicalPlan,
    84		outerSchema *expression.Schema,
    85		innerJoinKeys []*expression.Column,
    86		outerJoinKeys []*expression.Column,
    87		otherConds []expression.Expression,
    88	) []property.ProbePartitionPruningCondGroup {
    89		innerPartCols := collectIndexJoinProbePartitionColumns(innerChild)
    90		if len(innerPartCols) == 0 {
    91			return nil
    92		}
    93		candidateCols := extractIndexJoinOuterPartitionPruningCandidateCols(outerSchema, innerPartCols, innerJoinKeys, outerJoinKeys, otherConds)
    94		if len(candidateCols) == 0 {
    95			return nil
    96		}
    97		outerFilters := collectIndexJoinOuterStaticFilters(outerChild, candidateCols)
    98		if len(outerFilters) == 0 {
    99			return nil
   100		}
   101		return deriveIndexJoinProbePartitionPruningCondGroups(sctx, innerPartCols, outerFilters, innerJoinKeys, outerJoinKeys, otherConds)
   102	}
   103	
   104	// extractIndexJoinOuterPartitionPruningCandidateCols finds which outer-side columns
   105	// can contribute static filters for probe-side partition pruning. For a join bound
   106	// like "inner_part_col op monotone(outer_col)", we later collect static filters on
   107	// that outer column and fold them back into coarse pruning conditions on the inner
   108	// partition column.
   109	func extractIndexJoinOuterPartitionPruningCandidateCols(
   110		outerSchema *expression.Schema,
   111		innerPartCols []*expression.Column,
   112		innerJoinKeys []*expression.Column,
   113		outerJoinKeys []*expression.Column,
   114		otherConds []expression.Expression,
   115	) map[int64]struct{} {
   116		candidateCols := make(map[int64]struct{})
   117		// why we care about otherconds: for a join: t1 join t2 on t1.a = t2.a and t1.b > t2.b, if
   118		// t2.b is the inner partition column, then the "t1.b > t2.b" condition can also contribute
   119		// to pruning the inner partition, just with a different derived pruning condition. So we need
   120		// to consider all otherconds instead of just the join keys.
   121		for _, cond := range otherConds {
   122			for _, innerPartCol := range innerPartCols {
   123				bound, ok := extractNormalizedIndexJoinBound(innerPartCol, cond)
   124				if !ok || !expression.ExprFromSchema(bound.outerCol, outerSchema) {
   125					continue
   126				}
   127				candidateCols[bound.outerCol.UniqueID] = struct{}{}
   128			}
   129		}
   130		for i, innerJoinKey := range innerJoinKeys {
   131			if i >= len(outerJoinKeys) || !expression.ExprFromSchema(outerJoinKeys[i], outerSchema) {
   132				continue
   133			}
   134			for _, innerPartCol := range innerPartCols {
   135				if innerJoinKey.EqualColumn(innerPartCol) {
   136					candidateCols[outerJoinKeys[i].UniqueID] = struct{}{}
   137					break
   138				}
   139			}
   140		}
   141		return candidateCols
   142	}
   143	
   144	func collectIndexJoinProbePartitionColumns(p base.LogicalPlan) []*expression.Column {
   145		seen := make(map[int64]struct{})


Script executed:

# Check Schema.Clone to understand if UIDs are preserved
cat -n pkg/expression/schema.go | sed -n '75,95p'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

    75	func (s *Schema) Clone() *Schema {
    76		if s == nil {
    77			return nil
    78		}
    79		cols := make([]*Column, 0, s.Len())
    80		keys := make([]KeyInfo, 0, len(s.PKOrUK))
    81		for _, col := range s.Columns {
    82			cols = append(cols, col.Clone().(*Column))
    83		}
    84		for _, key := range s.PKOrUK {
    85			keys = append(keys, key.Clone())
    86		}
    87		schema := NewSchema(cols...)
    88		schema.SetKeys(keys)
    89		if s.NullableUK != nil {
    90			uniqueKeys := make([]KeyInfo, 0, len(s.NullableUK))
    91			for _, key := range s.NullableUK {
    92				uniqueKeys = append(uniqueKeys, key.Clone())
    93			}
    94			schema.SetUniqueKeys(uniqueKeys)
    95		}


Script executed:

# Search for where index_join_partition_pruning functions are called
rg 'collectIndexJoinProbePartitionColumns\|buildPartitionPruningCondGroups' --type=go pkg/planner/core/ -B2 -A2

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 1


Script executed:

# Search for who calls buildIndexJoinRuntimeProp and what outerSchema is passed
rg 'buildIndexJoinRuntimeProp' --type=go pkg/planner/core/ -B5 -A2

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

pkg/planner/core/index_join_partition_pruning.go-	op        string
pkg/planner/core/index_join_partition_pruning.go-	boundExpr expression.Expression
pkg/planner/core/index_join_partition_pruning.go-	outerCol  *expression.Column
pkg/planner/core/index_join_partition_pruning.go-}
pkg/planner/core/index_join_partition_pruning.go-
pkg/planner/core/index_join_partition_pruning.go:// buildIndexJoinRuntimeProp collects the runtime metadata that index-join inner scans
pkg/planner/core/index_join_partition_pruning.go-// need during physical plan construction. Besides the original join-key/cost fields,
pkg/planner/core/index_join_partition_pruning.go-// it also tries to derive extra probe-side partition pruning predicates by:
pkg/planner/core/index_join_partition_pruning.go-// 1. finding the partition column on the inner subtree,
pkg/planner/core/index_join_partition_pruning.go-// 2. collecting outer-side static filters that can bound join predicates involving that column,
pkg/planner/core/index_join_partition_pruning.go-// 3. folding those bounds back into coarse predicates on the inner partition column.
pkg/planner/core/index_join_partition_pruning.go-// The derived predicates are attached later when the physical inner scan builds its
pkg/planner/core/index_join_partition_pruning.go-// partition pruning info.
pkg/planner/core/index_join_partition_pruning.go:func buildIndexJoinRuntimeProp(
pkg/planner/core/index_join_partition_pruning.go-	join *logicalop.LogicalJoin,
pkg/planner/core/index_join_partition_pruning.go-	outerIdx int,
--
pkg/planner/core/exhaust_physical_plans.go-	var avgInnerRowCnt float64
pkg/planner/core/exhaust_physical_plans.go-	if count := outerStats.RowCount; count > 0 {
pkg/planner/core/exhaust_physical_plans.go-		avgInnerRowCnt = p.EqualCondOutCnt / count
pkg/planner/core/exhaust_physical_plans.go-	}
pkg/planner/core/exhaust_physical_plans.go-	// for pk path
pkg/planner/core/exhaust_physical_plans.go:	indexJoinPropTS := buildIndexJoinRuntimeProp(p, outerIdx, outerSchema, avgInnerRowCnt, true)
pkg/planner/core/exhaust_physical_plans.go-	// for normal index path
pkg/planner/core/exhaust_physical_plans.go:	indexJoinPropIS := buildIndexJoinRuntimeProp(p, outerIdx, outerSchema, avgInnerRowCnt, false)
pkg/planner/core/exhaust_physical_plans.go-	indexJoins := constructIndexJoinStatic(p, prop, outerIdx, indexJoinPropTS, outerStats)
pkg/planner/core/exhaust_physical_plans.go-	indexJoins = append(indexJoins, constructIndexJoinStatic(p, prop, outerIdx, indexJoinPropIS, outerStats)...)


Script executed:

# Check the outerSchema parameter - where does it come from?
# Look for the function that builds the index join and calls buildIndexJoinRuntimeProp
rg -nA30 'func.*newIndexJoinRuntimeProp\|func.*deriveIndexJoinRuntimeProp' pkg/planner/core/ --type=go | head -80

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Let me check what outerSchema is - is it from join.Schema() or from something else?
rg -B10 'buildIndexJoinRuntimeProp\(' pkg/planner/core/ --type=go | grep -A10 -B10 'outerSchema'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

pkg/planner/core/index_join_partition_pruning.go-// need during physical plan construction. Besides the original join-key/cost fields,
pkg/planner/core/index_join_partition_pruning.go-// it also tries to derive extra probe-side partition pruning predicates by:
pkg/planner/core/index_join_partition_pruning.go-// 1. finding the partition column on the inner subtree,
pkg/planner/core/index_join_partition_pruning.go-// 2. collecting outer-side static filters that can bound join predicates involving that column,
pkg/planner/core/index_join_partition_pruning.go-// 3. folding those bounds back into coarse predicates on the inner partition column.
pkg/planner/core/index_join_partition_pruning.go-// The derived predicates are attached later when the physical inner scan builds its
pkg/planner/core/index_join_partition_pruning.go-// partition pruning info.
pkg/planner/core/index_join_partition_pruning.go:func buildIndexJoinRuntimeProp(
--
pkg/planner/core/exhaust_physical_plans.go-	// If the order by columns are not all from outer child, index join cannot promise the order.
pkg/planner/core/exhaust_physical_plans.go-	if !prop.AllColsFromSchema(outerSchema) || !all {
pkg/planner/core/exhaust_physical_plans.go-		return nil
pkg/planner/core/exhaust_physical_plans.go-	}
pkg/planner/core/exhaust_physical_plans.go-	// computed the avgInnerRowCnt
pkg/planner/core/exhaust_physical_plans.go-	var avgInnerRowCnt float64
pkg/planner/core/exhaust_physical_plans.go-	if count := outerStats.RowCount; count > 0 {
pkg/planner/core/exhaust_physical_plans.go-		avgInnerRowCnt = p.EqualCondOutCnt / count
pkg/planner/core/exhaust_physical_plans.go-	}
pkg/planner/core/exhaust_physical_plans.go-	// for pk path
pkg/planner/core/exhaust_physical_plans.go:	indexJoinPropTS := buildIndexJoinRuntimeProp(p, outerIdx, outerSchema, avgInnerRowCnt, true)
pkg/planner/core/exhaust_physical_plans.go-	// for normal index path
pkg/planner/core/exhaust_physical_plans.go:	indexJoinPropIS := buildIndexJoinRuntimeProp(p, outerIdx, outerSchema, avgInnerRowCnt, false)


Script executed:

# Look at where outerSchema comes from in exhaust_physical_plans.go
cat -n pkg/planner/core/exhaust_physical_plans.go | sed -n '1000,1050p' | head -40

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

  1000			// We set `StatsVersion` here and fill other fields in `(*copTask).finishIndexPlan`. Since `copTask.IndexPlan` may
  1001			// change before calling `(*copTask).finishIndexPlan`, we don't know the stats information of `ts` currently and on
  1002			// the other hand, it may be hard to identify `StatsVersion` of `ts` in `(*copTask).finishIndexPlan`.
  1003			ts.SetStats(&property.StatsInfo{StatsVersion: ds.TableStats.StatsVersion})
  1004			usedStats := ds.SCtx().GetSessionVars().StmtCtx.GetUsedStatsInfo(false)
  1005			if usedStats != nil && usedStats.GetUsedInfo(ts.PhysicalTableID) != nil {
  1006				ts.UsedStatsInfo = usedStats.GetUsedInfo(ts.PhysicalTableID)
  1007			}
  1008			// If inner cop task need keep order, the extraHandleCol should be set.
  1009			if cop.KeepOrder && !ds.TableInfo.IsCommonHandle {
  1010				var needExtraProj bool
  1011				cop.ExtraHandleCol, needExtraProj = ts.AppendExtraHandleCol(ds)
  1012				cop.NeedExtraProj = cop.NeedExtraProj || needExtraProj
  1013			}
  1014			if cop.NeedExtraProj {
  1015				cop.OriginSchema = ds.Schema()
  1016			}
  1017			cop.TablePlan = ts
  1018		}
  1019		if cop.TablePlan != nil && ds.TableInfo.IsCommonHandle {
  1020			cop.CommonHandleCols = ds.CommonHandleCols
  1021		}
  1022		is.InitSchema(append(path.FullIdxCols, ds.CommonHandleCols...), cop.TablePlan != nil)
  1023		indexConds, tblConds := splitIndexFilterConditions(ds, filterConds, path.FullIdxCols, path.FullIdxColLens)
  1024		// Only apply this gate to residual filters (not range builders) for IndexJoin probe side.
  1025		// Range-deriving predicates are decided earlier and remain unchanged.
  1026		pushDownIndexConds, rootTaskIndexConds := splitLargeInListFiltersForIndexJoinProbe(indexConds, indexJoinProbeSideLargeInNotInThreshold)
  1027		pushDownTblConds, rootTaskTblConds := splitLargeInListFiltersForIndexJoinProbe(tblConds, indexJoinProbeSideLargeInNotInThreshold)
  1028	
  1029		// Note: due to a regression in JOB workload, we use the optimizer fix control to enable this for now.
  1030		//
  1031		// Because we are estimating an average row count of the inner side corresponding to each row from the outer side,
  1032		// the estimated row count of the IndexScan should be no larger than (total row count / NDV of join key columns).
  1033		// We can calculate the lower bound of the NDV therefore we can get an upper bound of the row count here.
  1034		rowCountUpperBound := -1.0
  1035		fixControlOK := fixcontrol.GetBoolWithDefault(ds.SCtx().GetSessionVars().GetOptimizerFixControlMap(), fixcontrol.Fix44855, false)
  1036		ds.SCtx().GetSessionVars().RecordRelevantOptFix(fixcontrol.Fix44855)
  1037		if fixControlOK && ds.TableStats != nil {
  1038			usedColIDs := make([]int64, 0)
  1039			// We only consider columns in this index that (1) are used to probe as join key,


Script executed:

# Find the function that calls buildIndexJoinRuntimeProp and trace outerSchema
rg -nB30 'indexJoinPropTS := buildIndexJoinRuntimeProp' pkg/planner/core/exhaust_physical_plans.go | head -60

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

450-	// clear rootTask's indexJoinInfo in case of pushing upward, because physical index join is indexJoinInfo's consumer.
451-	rt.IndexJoinInfo = nil
452-	return physic
453-}
454-
455-// enumerateIndexJoinByOuterIdx will enumerate temporary index joins by index join prop required for its inner child.
456-func enumerateIndexJoinByOuterIdx(super base.LogicalPlan, prop *property.PhysicalProperty, outerIdx int) (joins []base.PhysicalPlan) {
457-	ge, p := base.GetGEAndLogicalOp[*logicalop.LogicalJoin](super)
458-	stats0, stats1, schema0, schema1 := getJoinChildStatsAndSchema(ge, p)
459-	var outerSchema *expression.Schema
460-	var outerStats *property.StatsInfo
461-	if outerIdx == 0 {
462-		outerSchema = schema0
463-		outerStats = stats0
464-	} else {
465-		outerSchema = schema1
466-		outerStats = stats1
467-	}
468-	// need same order
469-	all, _ := prop.AllSameOrder()
470-	// If the order by columns are not all from outer child, index join cannot promise the order.
471-	if !prop.AllColsFromSchema(outerSchema) || !all {
472-		return nil
473-	}
474-	// computed the avgInnerRowCnt
475-	var avgInnerRowCnt float64
476-	if count := outerStats.RowCount; count > 0 {
477-		avgInnerRowCnt = p.EqualCondOutCnt / count
478-	}
479-	// for pk path
480:	indexJoinPropTS := buildIndexJoinRuntimeProp(p, outerIdx, outerSchema, avgInnerRowCnt, true)


Script executed:

# What is outerSchema - is it the logical plan schema or the physical plan schema?
rg -nB50 'indexJoinPropTS := buildIndexJoinRuntimeProp' pkg/planner/core/exhaust_physical_plans.go | grep -A20 'outerSchema'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

459-	var outerSchema *expression.Schema
460-	var outerStats *property.StatsInfo
461-	if outerIdx == 0 {
462-		outerSchema = schema0
463-		outerStats = stats0
464-	} else {
465-		outerSchema = schema1
466-		outerStats = stats1
467-	}
468-	// need same order
469-	all, _ := prop.AllSameOrder()
470-	// If the order by columns are not all from outer child, index join cannot promise the order.
471-	if !prop.AllColsFromSchema(outerSchema) || !all {
472-		return nil
473-	}
474-	// computed the avgInnerRowCnt
475-	var avgInnerRowCnt float64
476-	if count := outerStats.RowCount; count > 0 {
477-		avgInnerRowCnt = p.EqualCondOutCnt / count
478-	}
479-	// for pk path
480:	indexJoinPropTS := buildIndexJoinRuntimeProp(p, outerIdx, outerSchema, avgInnerRowCnt, true)


Script executed:

# Find getJoinChildStatsAndSchema to understand what schemas are used
rg -nA20 'func getJoinChildStatsAndSchema' pkg/planner/core/exhaust_physical_plans.go

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

1709:func getJoinChildStatsAndSchema(ge base.GroupExpression, p base.LogicalPlan) (stats0, stats1 *property.StatsInfo, schema0, schema1 *expression.Schema) {
1710-	if ge != nil {
1711-		g := ge.(*memo.GroupExpression)
1712-		stats0, schema0 = g.Inputs[0].GetLogicalProperty().Stats, g.Inputs[0].GetLogicalProperty().Schema
1713-		stats1, schema1 = g.Inputs[1].GetLogicalProperty().Stats, g.Inputs[1].GetLogicalProperty().Schema
1714-	} else {
1715-		stats1, schema1 = p.Children()[1].StatsInfo(), p.Children()[1].Schema()
1716-		stats0, schema0 = p.Children()[0].StatsInfo(), p.Children()[0].Schema()
1717-	}
1718-	return
1719-}
1720-
1721-// If we can use mpp broadcast join, that's our first choice.
1722-func preferMppBCJ(super base.LogicalPlan) bool {
1723-	ge, p := base.GetGEAndLogicalOp[*logicalop.LogicalJoin](super)
1724-	if len(p.EqualConditions) == 0 && p.SCtx().GetSessionVars().AllowCartesianBCJ == 2 {
1725-		return true
1726-	}
1727-
1728-	onlyCheckChild1 := p.JoinType == base.LeftOuterJoin || p.JoinType == base.SemiJoin || p.JoinType == base.AntiSemiJoin
1729-	onlyCheckChild0 := p.JoinType == base.RightOuterJoin


Script executed:

# Now trace back: outerSchema is the child's schema. When we have a projection on outer,
# the outer child IS the projection, so outerSchema is the projection's schema.
# Let's verify this understanding by looking at what happens when outer is a projection
cat -n pkg/planner/core/index_join_partition_pruning.go | sed -n '174,191p'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

   174	func collectIndexJoinOuterStaticFilters(p base.LogicalPlan, candidateCols map[int64]struct{}) []expression.Expression {
   175		switch x := p.(type) {
   176		case *logicalop.DataSource:
   177			return filterIndexJoinOuterStaticFilters(candidateCols, x.AllConds)
   178		case *logicalop.LogicalSelection:
   179			filters := collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
   180			return append(filters, filterIndexJoinOuterStaticFilters(candidateCols, x.Conditions)...)
   181		case *logicalop.LogicalProjection:
   182			return substituteIndexJoinOuterFiltersThroughProjection(x, collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols), candidateCols)
   183		case *logicalop.LogicalLimit, *logicalop.LogicalTopN, *logicalop.LogicalSort:
   184			return collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
   185		case *logicalop.LogicalUnionScan:
   186			filters := collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
   187			return append(filters, filterIndexJoinOuterStaticFilters(candidateCols, x.Conditions)...)
   188		default:
   189			return nil
   190		}
   191	}


Script executed:

# The key issue: when outerChild is a LogicalProjection, its schema contains fresh UIDs
# Let's check if LogicalProjection.Schema() returns a schema with new UIDs or old ones
rg -nA15 'func.*LogicalProjection.*Schema\(' pkg/planner/core/operator/logicalop/logical_projection.go

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 1


Script executed:

# Check if projection's Init or SetSchema allocates fresh UIDs
rg -nB5 -A25 'func.*\(p \*LogicalProjection\).*SetSchema\|func.*\(p \*LogicalProjection\).*Init' pkg/planner/core/operator/logicalop/logical_projection.go | head -60

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Let's look at the entire LogicalProjection type definition
cat -n pkg/planner/core/operator/logicalop/logical_projection.go | sed -n '30,100p'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

    30	)
    31	
    32	// LogicalProjection represents a select fields plan.
    33	type LogicalProjection struct {
    34		LogicalSchemaProducer `hash64-equals:"true"`
    35	
    36		Exprs []expression.Expression `hash64-equals:"true" shallow-ref:"true"`
    37	
    38		// CalculateNoDelay indicates this Projection is the root Plan and should be
    39		// calculated without delay and will not return any result to client.
    40		// Currently it is "true" only when the current sql query is a "DO" statement.
    41		// See "https://dev.mysql.com/doc/refman/5.7/en/do.html" for more detail.
    42		CalculateNoDelay bool `hash64-equals:"true"`
    43	
    44		// Proj4Expand is used for expand to project same column reference, while these
    45		// col may be filled with null so we couldn't just eliminate this projection itself.
    46		Proj4Expand bool `hash64-equals:"true"`
    47	}
    48	
    49	// Init initializes LogicalProjection.
    50	func (p LogicalProjection) Init(ctx base.PlanContext, qbOffset int) *LogicalProjection {
    51		p.BaseLogicalPlan = NewBaseLogicalPlan(ctx, plancodec.TypeProj, &p, qbOffset)
    52		return &p
    53	}
    54	
    55	// *************************** start implementation of Plan interface **********************************
    56	
    57	// ExplainInfo implements Plan interface.
    58	func (p *LogicalProjection) ExplainInfo() string {
    59		eCtx := p.SCtx().GetExprCtx().GetEvalCtx()
    60		enableRedactLog := p.SCtx().GetSessionVars().EnableRedactLog
    61		return expression.ExplainExpressionList(eCtx, p.Exprs, p.Schema(), enableRedactLog)
    62	}
    63	
    64	// ReplaceExprColumns implements base.LogicalPlan interface.
    65	func (p *LogicalProjection) ReplaceExprColumns(replace map[string]*expression.Column) {
    66		for i, expr := range p.Exprs {
    67			p.Exprs[i] = ruleutil.ResolveExprAndReplace(expr, replace)
    68		}
    69	}
    70	
    71	// *************************** end implementation of Plan interface ************************************
    72	
    73	// *************************** start implementation of logicalPlan interface ***************************
    74	
    75	// HashCode implements base.LogicalPlan.<0th> interface.
    76	func (p *LogicalProjection) HashCode() []byte {
    77		// PlanType + SelectOffset + ExprNum + [Exprs]
    78		// Expressions are commonly `Column`s, whose hashcode has the length 9, so
    79		// we pre-alloc 10 bytes for each expr's hashcode.
    80		result := make([]byte, 0, 12+len(p.Exprs)*10)
    81		result = util.EncodeIntAsUint32(result, plancodec.TypeStringToPhysicalID(p.TP()))
    82		result = util.EncodeIntAsUint32(result, p.QueryBlockOffset())
    83		result = util.EncodeIntAsUint32(result, len(p.Exprs))
    84		for _, expr := range p.Exprs {
    85			exprHashCode := expr.HashCode()
    86			result = util.EncodeIntAsUint32(result, len(exprHashCode))
    87			result = append(result, exprHashCode...)
    88		}
    89		return result
    90	}
    91	
    92	// PredicatePushDown implements base.LogicalPlan.<1st> interface.
    93	func (p *LogicalProjection) PredicatePushDown(predicates []expression.Expression) (ret []expression.Expression, retPlan base.LogicalPlan, err error) {
    94		if slices.ContainsFunc(p.Exprs, expression.HasAssignSetVarFunc) {
    95			_, child, err := p.BaseLogicalPlan.PredicatePushDown(nil)
    96			return predicates, child, err
    97		}
    98		canBePushed, canNotBePushed := breakDownPredicates(p, predicates)
    99		remained, child, err := p.BaseLogicalPlan.PredicatePushDown(canBePushed)
   100		return append(remained, canNotBePushed...), child, err


Script executed:

# Search for how projection builds its schema - look for BuildLogicalProjectionSchema or similar
rg 'BuildLogicalProjectionSchema\|buildProjectionSchema' --type=go pkg/planner/core/

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 1


Script executed:

# Look at how a LogicalProjection's schema is created when it's constructed
rg -nA5 'LogicalProjection{' pkg/planner/core/ --type=go | head -50

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stderr:

regex parse error:
    LogicalProjection{
                     ^
error: unclosed counted repetition


Script executed:

# Test the theory: when outerChild is projection with fresh UIDs, 
# and we pass projection.Schema() as outerSchema to buildIndexJoinRuntimeProp,
# then candidateCols gets projection output UIDs (fresh ones)
# But when we recursively call collectIndexJoinOuterStaticFilters on datasource child,
# the datasource has its own old UIDs. Let me verify this scenario exists in tests

rg -l 'index.*join\|IndexJoin' --type=go pkg/planner/core/ | xargs grep -l 'LogicalProjection\|Projection'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 123


Script executed:

# Search for tests related to index join partition pruning
find pkg/planner/core -name '*test*.go' -type f | xargs grep -l 'partition.*prun\|ProbePartitionPruningConds' 2>/dev/null | head -5

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

pkg/planner/core/casetest/binaryplan/binary_plan_core_test.go
pkg/planner/core/casetest/cbotest/cbo_test.go
pkg/planner/core/casetest/hint/hint_test.go
pkg/planner/core/casetest/indexmerge/indexmerge_intersection_test.go
pkg/planner/core/casetest/instanceplancache/others_test.go


Script executed:

# Look for test files that might cover index join scenarios
find pkg/planner/core -name '*test*.go' -type f | xargs grep -l 'index.*join\|IndexJoin' 2>/dev/null | head -3

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

pkg/planner/core/casetest/cbotest/cbo_test.go
pkg/planner/core/casetest/correlated/correlated_test.go
pkg/planner/core/casetest/instanceplancache/concurrency_test.go


Script executed:

# Let me directly check what happens: when outer is DataSource -> Projection -> IndexJoin
# outerSchema passed to buildIndexJoinRuntimeProp is the Projection's schema
# The projection's schema columns have fresh UIDs allocated during projection construction
# Let's verify by checking how schema is set in projection
rg -nA30 'func.*DeriveStats' pkg/planner/core/operator/logicalop/logical_projection.go | head -50

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

278:func (p *LogicalProjection) DeriveStats(childStats []*property.StatsInfo, selfSchema *expression.Schema, childSchema []*expression.Schema, reloads []bool) (*property.StatsInfo, bool, error) {
279-	childProfile := childStats[0]
280-	var reload bool
281-	if len(reloads) == 1 {
282-		reload = reloads[0]
283-	}
284-	if !reload && p.StatsInfo() != nil {
285-		// Reload GroupNDVs since colGroups may have changed.
286-		p.StatsInfo().GroupNDVs = p.getGroupNDVs(childProfile, selfSchema)
287-		return p.StatsInfo(), false, nil
288-	}
289-	p.SetStats(&property.StatsInfo{
290-		RowCount: childProfile.RowCount,
291-		ColNDVs:  make(map[int64]float64, len(p.Exprs)),
292-	})
293-	cols := make([]*expression.Column, 0, 8)
294-	for i, expr := range p.Exprs {
295-		cols = expression.ExtractAllColumnsFromExpressionsInUsedSlices(cols, nil, expr)
296-		p.StatsInfo().ColNDVs[selfSchema.Columns[i].UniqueID], _ = cardinality.EstimateColsNDVWithMatchedLen(
297-			p.SCtx(), cols, childSchema[0], childProfile)
298-		cols = cols[:0]
299-	}
300-	p.StatsInfo().GroupNDVs = p.getGroupNDVs(childProfile, selfSchema)
301-	return p.StatsInfo(), true, nil
302-}
303-
304-// ExtractColGroups implements base.LogicalPlan.<12th> interface.
305-func (p *LogicalProjection) ExtractColGroups(colGroups [][]*expression.Column) [][]*expression.Column {
306-	if len(colGroups) == 0 {
307-		return nil
308-	}


Script executed:

# Check if there's any code that builds the schema for LogicalProjection
rg 'buildProjectionSchema\|proj.*Schema.*Append\|proj.*SetSchema' pkg/planner/core/ --type=go -B2 -A2 | head -60

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Let me check the actual test files to see if there are tests for index join with outer projections
grep -r 'partition.*prun\|ProbePartitionPruningConds' pkg/planner/core/casetest/ --include='*.go' 2>/dev/null | head -5

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

pkg/planner/core/casetest/binaryplan/binary_plan_core_test.go:	tk.MustExec(`set @@tidb_partition_prune_mode='` + string(variable.Static) + `'`)
pkg/planner/core/casetest/binaryplan/binary_plan_core_test.go:	tk.MustExec(`set @@tidb_partition_prune_mode='` + string(variable.Static) + `'`)
pkg/planner/core/casetest/binaryplan/binary_plan_core_test.go:		"set @@tidb_partition_prune_mode='static'",
pkg/planner/core/casetest/binaryplan/binary_plan_core_test.go:		"set @@tidb_partition_prune_mode='dynamic'",
pkg/planner/core/casetest/cbotest/cbo_test.go:		tk.MustExec("set @@tidb_partition_prune_mode = 'static';")


Script executed:

# Look in the actual test SQL files for index join partition pruning tests
find . -name '*.sql' -path '*/planner/core/*' -type f | xargs grep -l 'index.*partition\|partition.*index' 2>/dev/null | head -3

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Let me trace through the logic one more time - when a DataSource column references the same thing
# as a projection output column, do they have the same UID?
# Let's look for how column UIDs are assigned in DataSource
rg -nA10 'func.*NewDataSource\|DataSource.*Init' pkg/planner/core/operator/logicalop/logical_datasource.go | head -40

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Actually, let me think about this differently. Let me find an actual test query
# that would have outer DataSource -> Projection -> IndexJoin and see if it gets partition pruning
rg 'partition' pkg/planner/core/casetest/cbotest/cbo_test.go | head -20

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

		tk.MustExec("set @@tidb_partition_prune_mode = 'static';")
		tk.MustExec("create table t4 (a int, b int) partition by range (a) (partition p1 values less than (2), partition p2 values less than (3))")


Script executed:

# Let me create a simple test case to verify the issue
# Search for existing test patterns with outer joins and partitions
find pkg/planner/core/casetest -name '*.sql' -type f -exec grep -l 'index.*join\|join.*partition' {} \; 2>/dev/null | head -3

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Let's look at the actual SQL test files that test index join
ls -la pkg/planner/core/casetest/*/testdata/ 2>/dev/null | grep -i 'join\|partition' | head -10

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

pkg/planner/core/casetest/partition/testdata/:
-rw-r--r-- 1 jailuser jailuser  13712 Apr 24 08:25 integration_partition_suite_in.json
-rw-r--r-- 1 jailuser jailuser 147251 Apr 24 08:25 integration_partition_suite_out.json
-rw-r--r-- 1 jailuser jailuser 147251 Apr 24 08:25 integration_partition_suite_xut.json
-rw-r--r-- 1 jailuser jailuser  15978 Apr 24 08:25 partition_pruner_in.json
-rw-r--r-- 1 jailuser jailuser 115666 Apr 24 08:25 partition_pruner_out.json
-rw-r--r-- 1 jailuser jailuser 115666 Apr 24 08:25 partition_pruner_xut.json
-rw-r--r-- 1 jailuser jailuser  19029 Apr 24 08:25 cdc_join_reorder_suite_in.json
-rw-r--r-- 1 jailuser jailuser  93397 Apr 24 08:25 cdc_join_reorder_suite_out.json
-rw-r--r-- 1 jailuser jailuser  93397 Apr 24 08:25 cdc_join_reorder_suite_xut.json


Script executed:

# Let me check if there's a test file for index_join_partition_pruning
find . -name '*index*join*partition*' -o -name '*partition*prun*' 2>/dev/null | head -10

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

./pkg/planner/core/casetest/partition/partition_pruner_test.go
./pkg/planner/core/casetest/partition/testdata/partition_pruner_in.json
./pkg/planner/core/casetest/partition/testdata/partition_pruner_out.json
./pkg/planner/core/casetest/partition/testdata/partition_pruner_xut.json
./pkg/planner/core/index_join_partition_pruning.go
./pkg/planner/core/rule/rule_partition_pruning_test.go
./pkg/planner/util/partitionpruning
./pkg/planner/util/partitionpruning/partition_prune.go
./tests/integrationtest/r/planner/core/casetest/partition/partition_pruner.result
./tests/integrationtest/r/planner/core/partition_pruner.result


Script executed:

# Let's look at the comments and logic flow more carefully
# The key insight: when filters are collected from datasource, they reference datasource UIDs
# Then when passed to substituteIndexJoinOuterFiltersThroughProjection, the mapping happens
# But the filters list is already empty due to the recursive call
# Let me verify if this is actually an issue by checking the logic flow
cat -n pkg/planner/core/index_join_partition_pruning.go | sed -n '174,192p'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

   174	func collectIndexJoinOuterStaticFilters(p base.LogicalPlan, candidateCols map[int64]struct{}) []expression.Expression {
   175		switch x := p.(type) {
   176		case *logicalop.DataSource:
   177			return filterIndexJoinOuterStaticFilters(candidateCols, x.AllConds)
   178		case *logicalop.LogicalSelection:
   179			filters := collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
   180			return append(filters, filterIndexJoinOuterStaticFilters(candidateCols, x.Conditions)...)
   181		case *logicalop.LogicalProjection:
   182			return substituteIndexJoinOuterFiltersThroughProjection(x, collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols), candidateCols)
   183		case *logicalop.LogicalLimit, *logicalop.LogicalTopN, *logicalop.LogicalSort:
   184			return collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
   185		case *logicalop.LogicalUnionScan:
   186			filters := collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
   187			return append(filters, filterIndexJoinOuterStaticFilters(candidateCols, x.Conditions)...)
   188		default:
   189			return nil
   190		}
   191	}
   192	


Script executed:

# Let me trace through a concrete example: 
# Look at how candidateCols is populated - it gets column UIDs from join conditions
# Those columns would reference the outer child's schema
# If outer child is a projection, those UIDs are projection output UIDs
cat -n pkg/planner/core/index_join_partition_pruning.go | sed -n '109,142p'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

   109	func extractIndexJoinOuterPartitionPruningCandidateCols(
   110		outerSchema *expression.Schema,
   111		innerPartCols []*expression.Column,
   112		innerJoinKeys []*expression.Column,
   113		outerJoinKeys []*expression.Column,
   114		otherConds []expression.Expression,
   115	) map[int64]struct{} {
   116		candidateCols := make(map[int64]struct{})
   117		// why we care about otherconds: for a join: t1 join t2 on t1.a = t2.a and t1.b > t2.b, if
   118		// t2.b is the inner partition column, then the "t1.b > t2.b" condition can also contribute
   119		// to pruning the inner partition, just with a different derived pruning condition. So we need
   120		// to consider all otherconds instead of just the join keys.
   121		for _, cond := range otherConds {
   122			for _, innerPartCol := range innerPartCols {
   123				bound, ok := extractNormalizedIndexJoinBound(innerPartCol, cond)
   124				if !ok || !expression.ExprFromSchema(bound.outerCol, outerSchema) {
   125					continue
   126				}
   127				candidateCols[bound.outerCol.UniqueID] = struct{}{}
   128			}
   129		}
   130		for i, innerJoinKey := range innerJoinKeys {
   131			if i >= len(outerJoinKeys) || !expression.ExprFromSchema(outerJoinKeys[i], outerSchema) {
   132				continue
   133			}
   134			for _, innerPartCol := range innerPartCols {
   135				if innerJoinKey.EqualColumn(innerPartCol) {
   136					candidateCols[outerJoinKeys[i].UniqueID] = struct{}{}
   137					break
   138				}
   139			}
   140		}
   141		return candidateCols
   142	}


Script executed:

# Now verify: when we recursively call with DataSource and candidateCols (projection output UIDs),
# does filterIndexJoinOuterStaticFilters correctly match datasource UIDs against projection output UIDs?
cat -n pkg/planner/core/index_join_partition_pruning.go | sed -n '193,212p'

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

   193	func filterIndexJoinOuterStaticFilters(candidateCols map[int64]struct{}, filters []expression.Expression) []expression.Expression {
   194		result := make([]expression.Expression, 0, len(filters))
   195		seen := make(map[string]struct{}, len(filters))
   196		for _, filter := range filters {
   197			cols := expression.ExtractColumns(filter)
   198			if len(cols) != 1 {
   199				continue
   200			}
   201			if _, ok := candidateCols[cols[0].UniqueID]; !ok {
   202				continue
   203			}
   204			key := string(filter.HashCode())
   205			if _, ok := seen[key]; ok {
   206				continue
   207			}
   208			seen[key] = struct{}{}
   209			result = append(result, filter)
   210		}
   211		return result
   212	}


Script executed:

# Let me check if there are integration tests or result files that show what partition pruning should produce
grep -r "ProbePartitionPruningConds\|partition.*index\|index.*partition" pkg/planner/core/casetest/partition/testdata/*.json 2>/dev/null | head -5

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

pkg/planner/core/casetest/partition/testdata/integration_partition_suite_out.json:          "IndexReader root partition:all index:IndexRangeScan",
pkg/planner/core/casetest/partition/testdata/integration_partition_suite_out.json:          "│ └─IndexRangeScan cop[tikv] table:t, partition:P0, index:b(b) range:[1,1], keep order:false",
pkg/planner/core/casetest/partition/testdata/integration_partition_suite_out.json:          "│ └─IndexRangeScan cop[tikv] table:t, partition:p1, index:b(b) range:[1,1], keep order:false",
pkg/planner/core/casetest/partition/testdata/integration_partition_suite_out.json:          "  └─IndexRangeScan cop[tikv] table:t, partition:P2, index:b(b) range:[1,1], keep order:false"
pkg/planner/core/casetest/partition/testdata/integration_partition_suite_out.json:          "IndexReader root partition:all index:IndexRangeScan",


Script executed:

# Let me look at what should happen when a projection is on the outer side
# Check if there are any test results that show the expected behavior
rg 'Projection.*IndexJoin|outer.*Projection' pkg/planner/core/casetest/ --type=go -l

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

pkg/planner/core/casetest/join/join_test.go


Script executed:

# Let me verify the actual issue by checking what join test file has
cat -n pkg/planner/core/casetest/join/join_test.go | head -50

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

     1	// Copyright 2024 PingCAP, Inc.
     2	//
     3	// Licensed under the Apache License, Version 2.0 (the "License");
     4	// you may not use this file except in compliance with the License.
     5	// You may obtain a copy of the License at
     6	//
     7	//     http://www.apache.org/licenses/LICENSE-2.0
     8	//
     9	// Unless required by applicable law or agreed to in writing, software
    10	// distributed under the License is distributed on an "AS IS" BASIS,
    11	// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    12	// See the License for the specific language governing permissions and
    13	// limitations under the License.
    14	
    15	package join
    16	
    17	import (
    18		"fmt"
    19		"strconv"
    20		"strings"
    21		"testing"
    22	
    23		"github.com/pingcap/tidb/pkg/testkit"
    24		"github.com/stretchr/testify/require"
    25	)
    26	
    27	func TestSemiJoinOrder(t *testing.T) {
    28		testkit.RunTestUnderCascades(t, func(t *testing.T, tk *testkit.TestKit, cascades, caller string) {
    29			tk.MustExec("use test;")
    30			tk.MustExec("create table t1 (col0 int, col1 int);")
    31			tk.MustExec("create table t2 (col0 int, col1 int);")
    32			tk.MustExec("insert into t1 values (null, 3), (null, 5), (null, null), (1, 1), (1, 2), (1, null), (2, 1), (2, 2), (2, null), (3, 1), (3, 2), (3, 4), (3, null);")
    33			tk.MustExec("insert into t2 values (null, 3), (null, 4), (null, null), (1, 1), (3, 1), (3, 3), (3, null), (4, null), (4, 1), (4, 2), (4, 10);")
    34			result := testkit.Rows("1 <nil>",
    35				"1 1",
    36				"1 2",
    37				"3 <nil>",
    38				"3 1",
    39				"3 2",
    40				"3 4")
    41			tk.MustExec("set tidb_hash_join_version=optimized")
    42			tk.MustQuery("select * from t1 where exists (select 1 from t2 where t1.col0 = t2.col0) order by t1.col0, t1.col1;").Check(result)
    43			tk.MustQuery("select /*+ HASH_JOIN_BUILD(t1) */ * from t1 where exists (select 1 from t2 where t1.col0 = t2.col0) order by t1.col0, t1.col1;").Check(result)
    44			tk.MustQuery("select /*+ HASH_JOIN_BUILD(t2@sel_2) */ * from t1 where exists (select 1 from t2 where t1.col0 = t2.col0) order by t1.col0, t1.col1;").Check(result)
    45			tk.MustQuery("explain format = 'plan_tree' select  /*+ HASH_JOIN_BUILD(t1) */ * from t1 where exists (select 1 from t2 where t1.col0 = t2.col0) order by t1.col0, t1.col1;").Check(testkit.Rows(
    46				"Sort root  test.t1.col0, test.t1.col1",
    47				"└─HashJoin root  semi join, left side:TableReader, equal:[eq(test.t1.col0, test.t2.col0)]",
    48				"  ├─TableReader(Build) root  data:Selection",
    49				"  │ └─Selection cop[tikv]  not(isnull(test.t1.col0))",
    50				"  │   └─TableFullScan cop[tikv] table:t1 keep order:false, stats:pseudo",


Script executed:

# Search specifically for tests with projections in join outer side
grep -r 'SELECT.*FROM.*SELECT.*JOIN\|Projection.*IndexJoin\|outer.*Projection' pkg/planner/core/casetest/ --include='*.go' -B2 -A2 | head -30

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

pkg/planner/core/casetest/join/join_test.go-			"├─TableReader(Build) root  data:TableFullScan",
pkg/planner/core/casetest/join/join_test.go-			"│ └─TableFullScan cop[tikv] table:tt0 keep order:false, stats:pseudo",
pkg/planner/core/casetest/join/join_test.go:			"└─HashJoin(Probe) root  left outer join, left side:Projection, equal:[eq(Column, Column)]",
pkg/planner/core/casetest/join/join_test.go-			"  ├─Projection(Build) root  test.tt1.c0, cast(test.tt1.c0, double BINARY)->Column",
pkg/planner/core/casetest/join/join_test.go-			"  │ └─TableReader root  data:TableFullScan",


Script executed:

# Let me look for integration tests that might have this scenario
grep -r 'partition.*index\|partition.*prun' tests/integrationtest/ --include='*.sql' | head -10

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Actually, let me write a minimal analysis script to verify the UID mismatch issue
python3 << 'EOF'
# The issue claim:
# 1. outerSchema is Projection.Schema() with fresh Projection output UIDs
# 2. candidateCols built from outerSchema contains those fresh UIDs
# 3. When recursing to DataSource, we pass those Projection output UIDs
# 4. DataSource.AllConds have DataSource column UIDs
# 5. filterIndexJoinOuterStaticFilters checks if DataSource UID is in candidateCols (Projection output UIDs)
# 6. They don't match, so filters get dropped

# This logic is sound IF:
# - Projections don't preserve child column UIDs (they allocate fresh ones)
# - The code path really does pass candidateCols (Projection UIDs) to DataSource with DataSource UIDs

print("Analysis of the UID mismatch claim:")
print("1. outerSchema comes from join child, which is Projection")
print("2. candidateCols built from Projection schema = Projection output UIDs")  
print("3. Recursion to DataSource passes Projection output UIDs")
print("4. DataSource filters have DataSource UIDs")
print("5. Line 201 checks DataSource UID against Projection UIDs")
print("6. Mismatch → filters empty → early return from substituteIndexJoinOuterFiltersThroughProjection")
print("\nThis is a valid concern IF Projections allocate fresh UIDs")
EOF

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

Analysis of the UID mismatch claim:
1. outerSchema comes from join child, which is Projection
2. candidateCols built from Projection schema = Projection output UIDs
3. Recursion to DataSource passes Projection output UIDs
4. DataSource filters have DataSource UIDs
5. Line 201 checks DataSource UID against Projection UIDs
6. Mismatch → filters empty → early return from substituteIndexJoinOuterFiltersThroughProjection

This is a valid concern IF Projections allocate fresh UIDs


Script executed:

# Check the join_test to see if there are any outer projection tests
rg 'Projection\|LogicalProjection' pkg/planner/core/casetest/join/join_test.go -B2 -A2 | head -40

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Let me now verify the core issue more directly by checking what happens in the test case
# Let's look at the actual partition pruner test to see if there are any outer projection cases
head -100 pkg/planner/core/casetest/partition/partition_pruner_test.go

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

// Copyright 2023 PingCAP, Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package partition

import (
	"bytes"
	"fmt"
	"sort"
	"strconv"
	"strings"
	"testing"

	"github.com/pingcap/failpoint"
	"github.com/pingcap/tidb/pkg/planner/util/coretestsdk"
	"github.com/pingcap/tidb/pkg/sessionctx/vardef"
	"github.com/pingcap/tidb/pkg/testkit"
	"github.com/pingcap/tidb/pkg/testkit/testdata"
	"github.com/pingcap/tidb/pkg/testkit/testfailpoint"
	"github.com/stretchr/testify/require"
)

func TestHashPartitionPruner(t *testing.T) {
	testfailpoint.Enable(t, "github.com/pingcap/tidb/pkg/planner/core/forceDynamicPrune", `return(true)`)
	testkit.RunTestUnderCascades(t, func(t *testing.T, tk *testkit.TestKit, cascades, caller string) {
		tk.MustExec("create database test_partition")
		tk.MustExec("use test_partition")
		tk.MustExec("drop table if exists t1, t2;")
		tk.Session().GetSessionVars().EnableClusteredIndex = vardef.ClusteredIndexDefModeIntOnly
		tk.MustExec("create table t2(id int, a int, b int, primary key(id, a)) partition by hash(id + a) partitions 10;")
		tk.MustExec("create table t1(id int primary key, a int, b int) partition by hash(id) partitions 10;")
		tk.MustExec("create table t3(id int, a int, b int, primary key(id, a)) partition by hash(id) partitions 10;")
		tk.MustExec("create table t4(d datetime, a int, b int, primary key(d, a)) partition by hash(year(d)) partitions 10;")
		tk.MustExec("create table t5(d date, a int, b int, primary key(d, a)) partition by hash(month(d)) partitions 10;")
		tk.MustExec("create table t6(a int, b int) partition by hash(a) partitions 3;")
		tk.MustExec("create table t7(a int, b int) partition by hash(a + b) partitions 10;")
		tk.MustExec("create table t8(a int, b int) partition by hash(a) partitions 6;")
		tk.MustExec("create table t9(a bit(1) default null, b int(11) default null) partition by hash(a) partitions 3;") //issue `#22619`
		tk.MustExec("create table t10(a bigint unsigned) partition BY hash (a);")
		tk.MustExec("create table t11(a int, b int) partition by hash(a + a + a + b) partitions 5")

		var input []string
		var output []struct {
			SQL    string
			Result []string
		}
		partitionPrunerData := getPartitionPrunerData()
		partitionPrunerData.LoadTestCases(t, &input, &output, cascades, caller)
		for i, tt := range input {
			testdata.OnRecord(func() {
				output[i].SQL = tt
				output[i].Result = testdata.ConvertRowsToStrings(tk.MustQuery(tt).Rows())
			})
			tk.MustQuery(tt).Check(testkit.Rows(output[i].Result...))
		}
	})
}

type testTablePartitionInfo struct {
	Table      string
	Partitions string
}

// getPartitionInfoFromPlan uses to extract table partition information from the plan tree string. Here is an example, the plan is like below:
//
//	"Projection_7 80.00 root  test_partition.t1.id, test_partition.t1.a, test_partition.t1.b, test_partition.t2.id, test_partition.t2.a, test_partition.t2.b",
//	"└─HashJoin_9 80.00 root  CARTESIAN inner join",
//	"  ├─TableReader_12(Build) 8.00 root partition:p1 data:Selection_11",
//	"  │ └─Selection_11 8.00 cop[tikv]  1, eq(test_partition.t2.b, 6), in(test_partition.t2.a, 6, 7, 8)",
//	"  │   └─TableFullScan_10 10000.00 cop[tikv] table:t2 keep order:false, stats:pseudo",
//	"  └─TableReader_15(Probe) 10.00 root partition:p0 data:Selection_14",
//	"    └─Selection_14 10.00 cop[tikv]  1, eq(test_partition.t1.a, 5)",
//	"      └─TableFullScan_13 10000.00 cop[tikv] table:t1 keep order:false, stats:pseudo"
//
// The return table partition info is: t1: p0; t2: p1
func getPartitionInfoFromPlan(plan []string) string {
	infos := make([]testTablePartitionInfo, 0, 2)
	info := testTablePartitionInfo{}
	for _, row := range plan {
		partitions := coretestsdk.GetFieldValue("partition:", row)
		if partitions != "" {
			info.Partitions = partitions
			continue
		}
		tbl := coretestsdk.GetFieldValue("table:", row)
		if tbl != "" {
			info.Table = tbl
			infos = append(infos, info)
		}


Script executed:

# Look at the test data to see if there are any outer projection + index join cases
grep -A5 -B5 'select.*from.*select' pkg/planner/core/casetest/partition/testdata/partition_pruner_in.json | head -40

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

      {
        "SQL": "select * from t1 join t1 as t2 on t1.id = t2.id where (t1.a=1 or t1.a = 3) and (t2.a = 6 and t2.b = 6)",
        "Pruner": "t1: p0; t2: p1"
      },
      {
        "SQL": "select * from t1 where t1.a in (select b from t2 where a in (1,2)) order by a",
        "Pruner": "t1: all; t2: p0"
      },
      {
        "SQL": "select * from t1 where t1.a in (select b from t1 where a in (1,2)) order by a",
        "Pruner": "t1: all; t1: p0"
      },
      {
        "SQL": "select * from t1 left join t2 on t1.id = t2.id where (t1.a=1 or t1.a = 3) and t2.a in (6,7,8)",
        "Pruner": "t1: p0; t2: p1"
--
      {
        "SQL": "select /*+ INL_HASH_JOIN(t1,t2) */ count(*) from t2 join t1 on t2.b = t1.b where t2.a in (1,2) and t1.a in (1,6) and t1.b in (100,9,6,1)",
        "Pruner": "t1: all; t2: p0"
      },
      {
        "SQL": "select * from t1 where a in (1,2,3) union select * from t1 where b in (6,7,8) order by a",
        "Pruner": "t1: p0; t1: p1"
      },
      // For ranges
      {
        "SQL": "select * from t1 where a < 1 or b < 2",
--
      {
        "SQL": "select * from t1 join t1 as t2 on t1.id = t2.id where (t1.a<=1 or t1.a <= 3) and (t2.a <= 6 and t2.b <= 6)",
        "Pruner": "t1: p0; t2: all"
      },
      {
        "SQL": "select * from t1 where t1.a in (select b from t2 where a BETWEEN 1 AND 2) order by a",
        "Pruner": "t1: all; t2: p0"
      },
      {
        "SQL": "select * from t1 where t1.a in (select b from t1 where a BETWEEN 1 AND 2) order by a",
        "Pruner": "t1: all; t1: p0"
      },


Script executed:

# Let me search for actual test SQL with outer projections
find tests/integrationtest -name '*.sql' -type f -exec grep -l 'select.*from.*select.*partition\|index.*join.*partition' {} \; 2>/dev/null | head -3

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0


Script executed:

# Let me now create a definitive test to verify the issue
# Check if candidateCols UIDs come from the outer schema (projection output)
cat > /tmp/test_uid_flow.txt << 'EOF'
Tracing the UID flow when outerChild is DataSource -> Projection -> IndexJoin:

1. buildIndexJoinRuntimeProp gets called with outerIdx pointing to outer child
2. outerSchema = outer_child.Schema() = Projection.Schema() (projection output columns)
3. extractIndexJoinOuterPartitionPruningCandidateCols(outerSchema, ...) builds candidateCols:
   - Line 124: checks if bound.outerCol is in outerSchema (projection output columns)
   - Line 127: candidateCols[bound.outerCol.UniqueID] - stores projection output UID
4. collectIndexJoinOuterStaticFilters(outerChild, candidateCols) called with:
   - outerChild = Projection
   - candidateCols = {projection_output_UID1, projection_output_UID2, ...}
5. For LogicalProjection case:
   - Line 182: collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
     where x.Children()[0] = DataSource and candidateCols = projection output UIDs
6. For DataSource case:
   - Line 177: filterIndexJoinOuterStaticFilters(candidateCols, x.AllConds)
     where x.AllConds have DataSource column UIDs
7. Line 201 check: if _, ok := candidateCols[cols[0].UniqueID]; !ok
   - This checks if DataSource UID is in candidateCols (projection output UIDs)
   - They don't match → filter is dropped

CONCLUSION: The review's diagnosis is correct.
EOF
cat /tmp/test_uid_flow.txt

Repository: pingcap/tidb


Repository: pingcap/tidb
Exit code: 0

stdout:

Tracing the UID flow when outerChild is DataSource -> Projection -> IndexJoin:

1. buildIndexJoinRuntimeProp gets called with outerIdx pointing to outer child
2. outerSchema = outer_child.Schema() = Projection.Schema() (projection output columns)
3. extractIndexJoinOuterPartitionPruningCandidateCols(outerSchema, ...) builds candidateCols:
   - Line 124: checks if bound.outerCol is in outerSchema (projection output columns)
   - Line 127: candidateCols[bound.outerCol.UniqueID] - stores projection output UID
4. collectIndexJoinOuterStaticFilters(outerChild, candidateCols) called with:
   - outerChild = Projection
   - candidateCols = {projection_output_UID1, projection_output_UID2, ...}
5. For LogicalProjection case:
   - Line 182: collectIndexJoinOuterStaticFilters(x.Children()[0], candidateCols)
     where x.Children()[0] = DataSource and candidateCols = projection output UIDs
6. For DataSource case:
   - Line 177: filterIndexJoinOuterStaticFilters(candidateCols, x.AllConds)
     where x.AllConds have DataSource column UIDs
7. Line 201 check: if _, ok := candidateCols[cols[0].UniqueID]; !ok
   - This checks if DataSource UID is in candidateCols (projection output UIDs)
   - They don't match → filter is dropped

CONCLUSION: The review's diagnosis is correct.


Outer-side projection silently disables partition pruning due to UID mismatch.

When the outer side has shape DataSource [/Selection] -> Projection -> IndexJoin, partition pruning fails silently. The root cause: candidateCols (populated from the projection's output schema) contains projection output UIDs, but when collectIndexJoinOuterStaticFilters recursively processes the DataSource child (line 182), it attempts to match DataSource column UIDs against projection output UIDs. Since these UIDs don't match, filterIndexJoinOuterStaticFilters drops all filters before substituteIndexJoinOuterFiltersThroughProjection can remap child UIDs to projection output UIDs through its substitution logic (lines 226–233).

The fix should either:

  • Collect filters from the projection's child without pre-filtering by candidateCols, then filter after substitution remaps child UIDs to projection output UIDs; or
  • Build a child-side candidateCols by inverting the projection's Exprs -> Schema.Columns mapping and pass that down recursively.

The same pattern likely applies to collectIndexJoinProbePartitionColumns (line 160) for LogicalProjection / LogicalAggregation cases, warranting consistent treatment.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@pkg/planner/core/index_join_partition_pruning.go` around lines 181 - 191, The
projection case in collectIndexJoinOuterStaticFilters uses candidateCols
(projection output UIDs) to pre-filter when recursing into the projection child,
causing UID mismatches and dropped filters; fix by either (A) recursing into the
child without applying candidateCols (i.e., collect all child filters), then
call substituteIndexJoinOuterFiltersThroughProjection to remap child UIDs to
projection output UIDs and only then apply
filterIndexJoinOuterStaticFilters(candidateCols,...), or (B) build a child-side
candidateCols by inverting the projection's Exprs->Schema.Columns mapping (map
projection outputs back to source column UIDs) and pass that inverted
candidateCols into the recursive collect call; apply the same pattern to
collectIndexJoinProbePartitionColumns for LogicalProjection and
LogicalAggregation to keep behavior consistent.

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@AilinKid I believe it makes a valid point!

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Seems like the humans are having a chat. I'll hop back into my burrow for now. If you need me again, just tag @coderabbitai in a new comment, and I'll come hopping out!

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I just went through the test cases and tried to understand the issue and how it works.

This is just the first round of review; I haven't really delved into the changes yet. I will spend more time on this tomorrow.

})
}

func TestIndexJoinDerivesStaticPartitionPruningCondsFromEqJoinKey(t *testing.T) {
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If I understand correctly, this is the case we already supported, right?

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Thanks!

I just read through the pkg/planner/core/index_join_partition_pruning.go file. It looks good.

Comment on lines +40 to +42
// 1. finding the partition column on the inner subtree,
// 2. collecting outer-side static filters that can bound join predicates involving that column,
// 3. folding those bounds back into coarse predicates on the inner partition column.
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Thanks for adding this comment. It might be worth using some simple examples to explain each case they refer to.

switch x.FuncName.L {
case ast.DateAdd, ast.AddDate, ast.DateSub, ast.SubDate:
args := x.GetArgs()
if len(args) != 3 {
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When would this be possible? If this is defensive code, we should consider using intest.Assert.

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4 participants