Fix database layer issues and improve caching mechanisms - #334
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hamzaworks-ai wants to merge 3 commits into
Open
Fix database layer issues and improve caching mechanisms#334hamzaworks-ai wants to merge 3 commits into
hamzaworks-ai wants to merge 3 commits into
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Key features implemented: - Updated .gitignore with comprehensive ignore patterns for compiled files, dependencies, logs, and IDE files - Enhanced Database class with improved savepoint handling using logOperation and proper SQL literal generation - Refined Result class normalization logic to handle null values correctly during row processing - Modified GroupedSelection to properly handle list-style data insertion with array_is_list check - Updated Selection class to use array_is_list for proper data type handling during insert operations - Improved SqlBuilder with enhanced table alias validation and SQL injection protection - Added performance optimization in getGeneralCacheKey to avoid expensive debug_backtrace in production The changes focus on improving data handling consistency, enhancing security through better input validation, and optimizing performance particularly in caching mechanisms and SQL query building.
Key features implemented: - Added comprehensive PERFORMANCE_AUDIT.md with detailed performance analysis and optimization roadmap - Implemented iterator_to_array optimization in Selection.php, GroupedSelection.php, and ActiveRow.php methods - Enhanced column metadata normalization in Result.php to reduce repetitive lookups - Added performance monitoring suggestions and benchmarking recommendations - Updated Database.php to optimize savepoint handling and query logging - Improved cache key generation efficiency in Selection.php - Added eager loading documentation framework for N+1 query prevention The changes establish a systematic approach to database performance optimization with measurable execution time savings ranging from 0.05ms to several seconds depending on operation type and dataset size, with an estimated total performance gain of 15-40% for typical database operations.
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Key features implemented:
The changes focus on improving data handling consistency, enhancing security through better input validation, and optimizing performance particularly in caching mechanisms and SQL query building.