fast web log analyzer using probabilistic data structures
Project homepage: https://www.logswan.org/
Description
Logswan is a fast Web log analyzer using probabilistic data structures. It is
targeted at very large log files, typically APIs logs. It has constant memory
usage regardless of the log file size, and takes approximatively 4MB of RAM.
Unique visitors counting is performed using two HyperLogLog counters (one for
IPv4, and another one for IPv6), providing a relative accuracy of 0.10%.
Package information
- Ports path
- www/logswan
- Package architecture
- amd64
- Maintainer
- The OpenBSD ports mailing-list <ports@openbsd.org>
- Categories
- www
- Available flavors
- None listed
- Only for architectures
- aarch64, amd64, arm, i386, mips64, mips64el, powerpc, powerpc64, riscv64, sparc64, alpha, hppa
Ports list build and test dependencies as well as runtime dependencies. pkg_add selects those needed for installation.
Direct dependencies
Library
Build
- devel/cmake/core STEM->=4
- devel/ninja