Bitsets, also called bitmaps, are commonly used as fast data structures. Unfortunately, they can use too much memory. To compensate, we often use compressed bitmaps. Roaring bitmaps are compressed bitmaps which tend to outperform conventional compressed bitmaps such as WAH, EWAH or Concise. In some instances, roaring bitmaps can be hundreds of times faster and they often offer significantly better compression. They can even be faster than uncompressed bitmaps.
Features
- Roaring bitmaps are found to work well in many important applications
- The YouTube SQL Engine, Google Procella, uses Roaring bitmaps for indexing
- This code is licensed under Apache License
- To implement a set of integers, a particularly appealing strategy is the bitmap
- Work with memory-mapped bitmaps
- 64-bit integers
Project Samples
Categories
LibrariesLicense
Apache License V2.0Follow RoaringBitmap
You Might Also Like
Build Securely on Azure with Proven Frameworks
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of RoaringBitmap!