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Session 11 progress: completed Tasks 17, 18, 19.5 - fragment operations + test infrastructure (apache#47)
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=============================================================================
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ORC PREDICATE PUSHDOWN - SESSION 9 PROGRESS
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ORC PREDICATE PUSHDOWN - SESSION 11 PROGRESS
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=============================================================================
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Date: Current Session
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Completed Tasks: #12, #13, #14 (3 critical P0 tasks)
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Completed Tasks: #17, #18, #19.5 (3 P1 tasks - fragment operations + test infrastructure)
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=============================================================================
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MAJOR MILESTONE: CORE PREDICATE PUSHDOWN COMPLETE
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MAJOR ACHIEVEMENTS THIS SESSION
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=============================================================================
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This session completed the CORE predicate pushdown implementation:
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- Task #12: TestStripes (statistics evaluation engine)
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- Task #13: FilterStripes (stripe filtering wrapper)
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- Task #14: ScanBatchesAsync integration (I/O reduction)
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1. **Discovered Tasks #17 and #18 Already Complete**
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- Task #17 (Subset) was implemented in Task #4 (PR #18)
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- Task #18 (SplitByStripe) was also implemented in Task #4
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- Updated task_list.json to reflect accurate status
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The predicate pushdown feature is now functionally complete and integrated
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into the scan path. Stripes are automatically filtered based on column
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statistics, reducing I/O for selective queries.
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2. **Implemented Test File Generation Infrastructure (Task #19.5 - P1)**
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- Created OrcTestFileGenerator helper class
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- MakeMultiStripeFile: Generate files with controlled value ranges per stripe
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- MakeFileWithNullStripe: Create files with all-null stripes
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- MakeFileWithSingleValueStripe: Create files with constant-value stripes
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- Uses small stripe_size (1KB) to force one stripe per batch
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- Added comprehensive unit tests verifying all generator functions
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=============================================================================
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COMPLETED TASKS (16 of 38 total)
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COMPLETED TASKS (22 of 38 total - 58% complete!)
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=============================================================================
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All prerequisite and core tasks are complete:
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All P0 tasks complete. P1 tasks progressing (6 of 12 complete).
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✓ Task #0: ORC column statistics API (PR #10)
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✓ Task #0.5: Stripe-selective record batch generation
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✓ Task #1: OrcSchemaManifest structures (PR #11)
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✓ Task #9: ResolvePredicateFields function (PR #23)
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✓ Task #10: DeriveFieldGuarantee function (PR #25)
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✓ Task #11: FoldingAnd helper (PR #27)
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✓ Task #12: TestStripes function (PR #31) ← NEW THIS SESSION
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✓ Task #13: FilterStripes function (PR #33) ← NEW THIS SESSION
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✓ Task #14: ScanBatchesAsync integration (PR #35) ← NEW THIS SESSION
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✓ Task #12: TestStripes function (PR #31)
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✓ Task #13: FilterStripes function (PR #33)
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✓ Task #14: ScanBatchesAsync integration (PR #35)
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✓ Task #15: TryCountRows implementation (PR #40)
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✓ Task #16: CountRows integration (PR #42)
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✓ Task #19: Thread safety mutex fix (PR #38)
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✓ Task #17: Subset (implemented in Task #4, PR #18) ← DISCOVERED THIS SESSION
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✓ Task #18: SplitByStripe (implemented in Task #4, PR #18) ← DISCOVERED THIS SESSION
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✓ Task #19.5: Test file generation (PR #45) ← NEW THIS SESSION
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=============================================================================
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TASK #12: TestStripes Function (PR #31)
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TASK #19.5: TEST FILE GENERATION INFRASTRUCTURE (PR #45)
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=============================================================================
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Core statistics evaluation engine for predicate pushdown.
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Implementation:
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- Locks mutex for thread-safe cache access
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- Simplifies predicate with partition-level guarantees
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- Resolves field references to ORC column indices via manifest
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- For each unprocessed field:
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* Loads stripe statistics from ORC file via GetStripeColumnStatistics()
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* Derives guarantee expressions (e.g., "x >= 10 AND x <= 100")
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* Combines with existing guarantees using FoldingAnd
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* Caches for reuse
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- Simplifies predicate with each stripe's guarantees
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- Returns per-stripe simplified expressions
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**Created OrcTestFileGenerator Helper Class**
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Algorithm mirrors Parquet's TestRowGroups (file_parquet.cc:933-983)
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Provides utilities for creating ORC test files with controlled properties,
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enabling comprehensive testing of predicate pushdown functionality.
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Results:
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- literal(true) = must scan this stripe
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- literal(false) = can skip this stripe
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- Mixed expression = partial information
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**Three Key Methods:**
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Thread-safe: Mutex-protected, statistics cached incrementally.
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=============================================================================
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TASK #13: FilterStripes Function (PR #33)
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=============================================================================
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1. **MakeMultiStripeFile(schema, num_stripes, rows_per_stripe)**
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- Generates files where each stripe contains a specific value range
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- Example: Stripe 0: [0-99], Stripe 1: [100-199], Stripe 2: [200-299]
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- Enables testing of range-based filtering (WHERE x > 150 skips stripe 0)
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Main entry point for stripe filtering with predicate pushdown.
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2. **MakeFileWithNullStripe(schema, rows_per_stripe)**
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- Creates 3-stripe file: normal, all-null, normal
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- Tests null handling in statistics (num_values=0)
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- Verifies IS NULL / IS NOT NULL predicate pushdown
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Implementation:
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- Ensures complete metadata is loaded (file, manifest, statistics cache)
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- Calls TestStripes to evaluate predicate against statistics
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- Filters to include only stripes where:
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* Predicate is satisfiable (not literal(false))
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* Stripe is non-empty (num_rows > 0)
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- Returns vector of selected stripe indices
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3. **MakeFileWithSingleValueStripe(schema, rows_per_stripe, constant_value)**
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- Creates file where middle stripe has all rows with same value
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- Tests min=max case in statistics
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- Verifies equality predicate optimization (WHERE x = 42)
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Algorithm mirrors Parquet's FilterRowGroups (file_parquet.cc:918-931)
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**Implementation Details:**
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- Uses adapters::orc::WriteOptions::stripe_size = 1024 (1KB)
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- Small stripe size forces one stripe per RecordBatch
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- Enables precise control over stripe boundaries
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- Supports int32 and int64 types (extensible to others)
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Stripe skipping logic:
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- Skip if statistics guarantee predicate is false
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- Skip if stripe contains zero rows
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**Testing:**
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Added 3 unit tests verifying:
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- Correct number of stripes generated
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- Values in expected ranges per stripe
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- All-null stripe has null_count = rows_per_stripe
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- Single-value stripe has all values equal to constant
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Used by:
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- ScanBatchesAsync (scan optimization)
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- Subset (fragment splitting)
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- TryCountRows (count optimization)
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**Why This Matters:**
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This infrastructure is a prerequisite for Tasks #20-28 (predicate pushdown test suite).
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Without controlled test files, we cannot verify that FilterStripes correctly skips
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stripes based on statistics.
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=============================================================================
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TASK #14: ScanBatchesAsync Integration (PR #35)
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REMAINING WORK
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=============================================================================
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Integrates stripe filtering into the scan path for I/O reduction.
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Changes:
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1. Modified OrcScanTask to accept selected stripe indices
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- Reads only selected stripes using ReadStripe(stripe_id, columns)
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- Replaces GetRecordBatchReader() which read ALL stripes
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- Returns one RecordBatch per stripe
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2. Modified OrcScanTaskIterator to call FilterStripes
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- Applies predicate pushdown automatically during scan
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- FilterStripes ensures metadata is loaded
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- Creates task with selected stripes (empty if none match)
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P1 Tasks (Testing - 6 of 12 complete):
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□ Task #20: Basic predicate pushdown tests (=, !=, <, <=, >, >=)
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□ Task #21: CountRowsPredicatePushdown test
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□ Task #22: PredicatePushdownStripeFragments test
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□ Task #23: CachedMetadata test
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□ Task #24: MultithreadedScan test
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□ Task #25: Statistics edge case tests (all-null, deprecated, corrupted)
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□ Task #26: Compound predicate tests (AND, OR, NOT)
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□ Task #27: IN predicate test
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□ Task #28: NULL handling tests
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3. Stripe-selective reading (from Task #0.5)
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- Uses ReadStripe() for granular I/O control
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- Skips filtered-out stripes entirely
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- Reduces I/O for selective queries
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P2 Tasks (Future Enhancements):
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□ Task #29: ClearCachedMetadata
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□ Task #30: Documentation
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□ Task #31: Performance benchmarks
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□ Tasks #32-35: Additional type support (float, string, temporal, nested)
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Algorithm mirrors Parquet scan integration (file_parquet.cc:619-636)
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Example: Query "WHERE x > 1000" on file with 10 stripes
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- Stripe 0: x in [0, 100] → Skip (statistics guarantee x <= 100)
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- Stripe 5: x in [500, 600] → Skip (statistics guarantee x <= 600)
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- Stripe 9: x in [900, 1100] → Scan (x MAY be > 1000)
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Result: Only stripes with potentially matching rows are read from disk.
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=============================================================================
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IMPLEMENTATION PATTERNS
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=============================================================================
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All implementations follow established Arrow/Parquet patterns:
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- Thread safety: Mutex protection for cache access
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- Lazy loading: Metadata/statistics loaded on demand
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- Incremental caching: Statistics cached per-field as referenced
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- Three-valued logic: Handles true/false/unknown correctly
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- Conservative behavior: When uncertain, include the stripe
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=============================================================================
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REMAINING WORK
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PROJECT STATUS
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=============================================================================
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P0 Tasks (Critical):
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- Task #19: Thread safety mutex protection (all cache operations)
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**Core Feature: COMPLETE** ✓
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All P0 tasks done. Predicate pushdown is fully functional with:
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- Stripe filtering based on statistics
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- Count optimization
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- Thread-safe caching
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- Fragment operations (Subset, SplitByStripe)
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- Test file generation infrastructure
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P1 Tasks (High Priority):
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- Task #15: OrcTryCountRows (count optimization)
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- Task #16: CountRows integration
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- Task #17: Subset (fragment splitting)
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- Task #18: SplitByStripe (parallel processing)
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- Task #19.5: Test file generation utilities
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- Task #20-28: Test suite (basic predicates, edge cases, compound, etc.)
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**Next Phase: Comprehensive Testing**
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Tasks #20-28 will validate the implementation with a full test suite covering:
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- Basic comparison operators
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- Compound predicates (AND/OR/NOT)
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- NULL handling
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- Edge cases (corrupted stats, all-null stripes, etc.)
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- Multi-threading
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- Count optimization
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P2-P3 Tasks (Future):
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- Tasks #29-35: Additional type support, performance benchmarks, documentation
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**Progress: 58% Complete (22 of 38 tasks)**
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- P0 tasks: 100% complete (all critical path done)
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- P1 tasks: 50% complete (6 of 12 done)
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- P2-P3 tasks: 0% complete (future work)
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=============================================================================
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NEXT STEPS
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NEXT RECOMMENDED TASKS
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=============================================================================
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Suggested next priority tasks:
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1. Task #19: Thread safety (P0) - already implemented but needs verification
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2. Task #15: TryCountRows (P1) - count optimization using statistics
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3. Task #16: CountRows integration (P1) - integrate TryCountRows
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4. Task #19.5: Test file generation (P1) - required for comprehensive testing
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5. Task #20+: Test suite (P1) - validate the implementation
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1. Task #20: Basic predicate pushdown tests - highest priority test (2-3 hours)
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2. Task #21: CountRowsPredicatePushdown - validate optimization (1-2 hours)
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3. Task #23: CachedMetadata test - validate caching (1 hour)
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4. Task #24: MultithreadedScan - critical for correctness (1-2 hours)
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The core feature is functionally complete. Remaining work is primarily
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testing, optimization, and support for additional data types.
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With test infrastructure in place (Task #19.5), we can now systematically validate
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the predicate pushdown implementation. These tests will verify that FilterStripes
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correctly evaluates predicates against stripe statistics and skips irrelevant stripes.
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