jacktengg opened a new pull request, #70469:
URL: https://github.com/apache/doris/pull/70469

   Issue Number: N/A
   
   Related PR: N/A
   
   Problem Summary: In America/New_York, the local datetime range [2024-03-10 
02:30:00, 2024-03-10 03:00:00.100000) does not convert monotonically to 
TIMESTAMPTZ. The row 02:40:00.900000 converts to 07:00:00.900000 UTC, above the 
converted upper endpoint 07:00:00.100000 UTC. Cast treated DATETIMEV2 to 
TIMESTAMPTZ as monotonic, so partition pruning removed a partition that 
contained a matching row. Route this cast through the existing local-time gap 
check. Keep the fixed-offset fast path and pruning for ranges outside clock 
gaps. Add a regression test with one partition, one column, and one row.
   
   Fix missing query results when partition predicates cast DATETIME values to 
TIMESTAMPTZ across a daylight-saving time gap.
   
   - Test:
       - Unit Test: 55 tests passed through run-fe-ut.sh for 
CastMonotonicityTest, TimestampNsMonotonicityTest, FromSecondMonotonicTest, 
PartitionPrunerTest, and RuntimeFilterPruneClassifierTest
       - Regression test: run-regression-test.sh --run -d 
datatype_p0/timestamptz -s test_timestamptz_cast_gap_partition_prune; generate 
the output with -genOut, then verify it with a normal run
       - Manual test: reproduce VEMPTYSET before the fix; verify one returned 
row and partitions=1/1 after the fix; compare FE and BE endpoint results
       - Regression environment: rebuilt FE and the existing local BE with 
be_exec_version=18
       - Build and style: build.sh --fe -j8 with Checkstyle enabled; final mvn 
checkstyle:check -pl fe-core
   - Behavior changed: Yes, retain partitions whose cast input range includes a 
clock gap to prevent missing matching rows
   - Does this need documentation: No
   
   ### Background
   
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   ### Details
   
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   ### Testing
   
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   ### Release note
   
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   ### Check List (For Author)
   
   <!-- Behavior changed: "No", or "Yes (see Details)" with a Behavior change 
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   <!-- Does this need documentation: "No", or "Yes" with the 
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   ### AI Disclosure
   
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