logswan — fast Web log analyzer using probabilistic data structures

logswan was written by Frederic Cambus.

Debian                                           March 13, 2023                                       LOGSWAN(1)

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%.

       If file is a single dash (`-'), logswan reads from the standard input.

       The options are as follows:

       -ddb   Specify path to a GeoIP database.

       -g      Enable GeoIP lookups.

       -h      Display usage.

       -v      Display version.

       The following script can be used to process all log files in the current directory and save the output in
       a file:

             #!/bin/sh
             for file in $(ls *.log)
             do
                     logswan $file > $file.json
             done
             exit 0

       logswan — fast Web log analyzer using probabilistic data structures

logswan [-ghv] [-ddb] logfile