feat(query): optimize min/max aggregation use accurate column stats

[sundy-li]

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Summary

Min/Max aggregation will be replaced by accurate column stat result in query without group by and filters.

query T
explain select 5, count(), min(number), max(ts), min(money), 4 from t;
----
EvalScalar
├── output columns: [min(number) (#6), max(ts) (#7), min(money) (#8), count() (#5), 5 (#9), 4 (#10)]
├── expressions: [5, 4]
├── estimated rows: 1.00
└── EvalScalar
    ├── output columns: [min(number) (#6), max(ts) (#7), min(money) (#8), count() (#5)]
    ├── expressions: [0, '2024-01-01 00:33:19.000000', 0.00, 3000]
    ├── estimated rows: 1.00
    └── DummyTableScan

Tests

• Unit Test
• Logic Test
• Benchmark Test
• No Test - Explain why

Type of change

• Bug Fix (non-breaking change which fixes an issue)
• New Feature (non-breaking change which adds functionality)
• Breaking Change (fix or feature that could cause existing functionality not to work as expected)
• Documentation Update
• Refactoring
• Performance Improvement
• Other (please describe):

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This change is 

[Dousir9]

LGTM !