avamingli opened a new pull request, #1606:
URL: https://github.com/apache/cloudberry/pull/1606

   Add a new AQUMV code path that rewrites multi-table JOIN queries to scan 
materialized views when the query exactly matches the MV definition. This 
compares the saved raw parse tree against stored viewQuery from gp_matview_aux, 
bypassing the single-table AQUMV logic entirely.
   
   This enables significant query acceleration for common analytical patterns: 
instead of repeatedly computing expensive multi-table joins at query time, the 
planner can directly read pre-computed results from the materialized view, 
turning O(N*M) join operations into a simple sequential scan.
   
   For example, given:
   ```sql
     CREATE MATERIALIZED VIEW mv AS
       SELECT t1.a, t2.b FROM t1 JOIN t2 ON t1.a = t2.a;
   
     -- Before (GUC off): original join plan
     Gather Motion 3:1
       ->  Hash Join
             Hash Cond: (t1.a = t2.a)
             ->  Seq Scan on t1
             ->  Hash
                   ->  Seq Scan on t2
   
     -- After (GUC on): rewritten to MV scan
     Gather Motion 3:1
       ->  Seq Scan on mv
   ```
   <!-- Thank you for your contribution to Apache Cloudberry (Incubating)! -->
   
   Fixes #ISSUE_Number
   
   ### What does this PR do?
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   ### Type of Change
   - [ ] Bug fix (non-breaking change)
   - [ ] New feature (non-breaking change)
   - [ ] Breaking change (fix or feature with breaking changes)
   - [ ] Documentation update
   
   ### Breaking Changes
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   ### Test Plan
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   - [ ] Unit tests added/updated
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   - [ ] Passed `make installcheck`
   - [ ] Passed `make -C src/test installcheck-cbdb-parallel`
   
   ### Impact
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   **Performance:**
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   **User-facing changes:**
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   **Dependencies:**
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   ### Checklist
   - [ ] Followed [contribution 
guide](https://cloudberry.apache.org/contribute/code)
   - [ ] Added/updated documentation
   - [ ] Reviewed code for security implications
   - [ ] Requested review from [cloudberry 
committers](https://github.com/orgs/apache/teams/cloudberry-committers)
   
   ### Additional Context
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