This section provides an overview of the vector_tile_optimization/data_compaction feature, which is designed to improve the efficiency and performance of vector tiles.
What is Vector Tile Optimization?
Vector tiles are a format for storing and serving map data that can be rendered at various scales. Optimization techniques like data_compaction are used to reduce the file size of vector tiles, making them faster to load and process.
Data Compaction
Data compaction is a process that reduces the size of vector tiles by eliminating redundant information and compressing the data. This can lead to significant performance improvements, especially for web maps that serve a large number of tiles.
Benefits
- Reduced Load Times: Smaller file sizes result in faster load times for maps.
- Improved Performance: Fewer bytes to process can lead to smoother rendering and better user experience.
- Resource Efficiency: Lower memory usage and reduced server load.
How It Works
The data_compaction process involves the following steps:
- Identify Redundant Data: Algorithms analyze the vector tiles to find and remove duplicate or unnecessary data.
- Compression: The remaining data is compressed to further reduce the file size.
- Validation: The compacted tiles are validated to ensure they are still accurate and functional.
Further Reading
For more information on vector tile optimization and data compaction, check out the following resources: