Optimize pyasn performance and storage
masterStorage Optimization
As of v1.6, you can use gzipped IPASN data files to save disk space. Note that loading gzipped files will result in slightly longer initial load times.
Performance Tip
Loading an IPASN data file is the most resource-intensive operation. If you are performing historical lookups across multiple dates, it is highly recommended to cache the loaded data files in memory to avoid repeated heavy loading operations.