feat: FK Models #584
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feat: FK Models #584
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…management - Add PartitionedDataset class with LRU caching and fast metadata reading - Refactor step_finalize_generation.py to use unified processing pipeline - Implement sequential parent cache clearing after each FK relationship - Add comprehensive test coverage for PartitionedDataset (22 tests) - Maintain backward compatibility for both FK and non-FK processing - Optimize memory usage through batch processing and cache management - Fix test compatibility with new partitioned data processing Key improvements: - Addresses quadratic complexity in FK matching through efficient sampling - Memory-bounded processing with configurable LRU cache (default: 3 partitions) - Fast row counting using PyArrow parquet metadata - Sequential cache clearing prevents memory accumulation during FK processing 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
Support max_cached_partitions=-1 to keep all partitions in memory without LRU eviction. This enables optimal performance for scenarios where memory usage is not a constraint. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
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