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branch-4.2: [fix](agg) Normalize equivalent multi-column distinct counts #65206 - #70043

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yiguolei merged 1 commit into
apache:branch-4.2from
morrySnow:codex/branch-4.2-pick-65206
Nov 3, 2026
Merged

yiguolei merged 1 commit into
apache:branch-4.2from
morrySnow:codex/branch-4.2-pick-65206

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@morrySnow

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picked from master #65206

### What problem does this PR solve?

Related PR: apache#65206

Problem Summary: 多列 COUNT DISTINCT 的等价重排/重复参数没有归一,可能选错策略或越界

Backport adaptation: Keep the target-branch removal of PushDownAggWithDistinctThroughJoinOneSide; backport normalization, CountIf argument handling and tests.

### Release note

多列 COUNT DISTINCT 的等价重排/重复参数没有归一,可能选错策略或越界

### Check List (For Author)

- Test: Unit Test — org.apache.doris.nereids.rules.analysis.NormalizeMultiColumnDistinctCountTest; FE Checkstyle passed. Cluster regression tests were not run for this commit.
- Behavior changed: Yes, fixes the behavior described above.
- Does this need documentation: No

(cherry picked from commit d921beb)
@morrySnow

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run buildall

@morrySnow
morrySnow requested a review from yiguolei as a code owner November 3, 2026 05:29
@hello-stephen

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Thank you for your contribution to Apache Doris.
Don't know what should be done next? See How to process your PR.

Please clearly describe your PR:

  1. What problem was fixed (it's best to include specific error reporting information). How it was fixed.
  2. Which behaviors were modified. What was the previous behavior, what is it now, why was it modified, and what possible impacts might there be.
  3. What features were added. Why was this function added?
  4. Which code was refactored and why was this part of the code refactored?
  5. Which functions were optimized and what is the difference before and after the optimization?

@hello-stephen

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FE UT Coverage Report

Increment line coverage 100.00% (20/20) 🎉
Increment coverage report
Complete coverage report

@yiguolei

yiguolei commented Nov 3, 2026

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skip buildall

@yiguolei
yiguolei merged commit 8e76d76 into apache:branch-4.2 Nov 3, 2026
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4 participants