Design Patterns MCP Server

{ "id": "compactor", "name": "Compactor", "category": "Data Ingestion", "description": "The Compactor pattern helps reduce the storage footprint of growing datasets by combining multiple smaller files into bigger ones, thus reducing the overall I/O overhead on reading. Storing many small files involves longer listing operations and heavier I/O for opening and closing files.", "when_to_use": "[\"Growing datasets with many small files\",\"Metadata overhead impacting performance\"]", "benefits": "[\"Reduces I/O overhead\",\"Improves read performance\",\"Optimizes storage\"]", "drawbacks": "[\"Cost vs performance trade-offs\",\"Consistency issues\",\"Requires cleaning operations\"]", "use_cases": "[\"Data lake optimization\",\"Batch job performance improvement\"]", "complexity": "Medium", "tags": [ "[\"compaction\"", "\"data-ingestion\"", "\"file-optimization\"", "\"storage\"", "\"data-engineering\"]" ] }