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2.1.4

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## 2.1.4

### Added
- Implemented a unified parallel computing scheduler to manage and execute concurrent tasks efficiently.
- Introduced `noQueryCache` method to allow explicit disabling of the query cache for individual queries.

### Changed
- Optimized CPU-intensive operations by offloading them to background isolates, ensuring a smooth UI experience while maximizing computational throughput.
- Enhanced memory management with granular scheduling for multi-level cache systems.
- Re-architected indexing algorithms for improved scalability and performance with large-scale datasets.
- Significantly improved the throughput of write and delete buffers for high-volume data operations.
- Refined query cache mechanisms for better performance and control.

### Fixed
- Resolved a memory overflow issue in the caching system when handling ultra-large da
8000
tasets.

2.1.3

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Verified

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Delete .cursor/rules directory

2.1.2

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### Added

- Added `DefaultValueType` to support default values that automatically fill current timestamp

### Changed
- Enhanced B+Tree index structure for optimized retrieval efficiency and data access speed
- Improved data repair mechanisms for better consistency and reliability
- Optimized hash calculation algorithm for table structure comparison
- Improved overall system stability and reliability with comprehensive testing under high-load conditions

### Fixed
- Fixed issues during index deletion process

2.0.8

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### Added

- Implemented comprehensive intelligent parallel processing mechanism for database operations, boosting performance by several times
- Added advanced computational models for cparallel processing
- Introduced dynamic resource allocation system for optimized memory management
- Enhanced buffering mechanism with predictive data loading capabilities

### Changed
- Completely redesigned index architecture for faster data retrieval and reduced latency
- Optimized buffer management with improved write/delete handling
- Enhanced memory usage through dynamic allocation based on workload patterns
- Refined error handling and recovery processes for increased reliability
- Improved overall system stability and reliability with comprehensive testing under high-load conditions

2.0.5

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### Changed

- Adjusted whether to delete backup files and whether to compress backup files when restoring them

### Fixed
- Fixed the zip compression issue of backup files on the web platform

2.0.3

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### Changed

- Adjusted whether to delete backup files and whether to compress backup files when restoring them

### Fixed
- Fixed the zip compression issue of backup files on the web platform

2.0.1

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### Fixed

- Fixed string comparison issue where values with and without quotes weren't being matched comparison
- Improved query execution for secondary indexes when handling string values
- Fixed empty results when querying non-primary index fields with quoted string values

2.0.0

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- Cross-platform support for Web, Linux, Windows, Mobile, and Mac pla…

…tforms

- Neural network-inspired distributed architecture with interconnected node topology
- Efficient data partitioning mechanism for distributed processing
- Isolate parallel processing for improved read/write operations with dynamic workload balancing
- Multi-node computational network for parallel data operations

1.8.8

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Added automatic primary key type conversion for auto increment

1.8.7

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Improved schema migration logic

0