NAME

     logswan — fast Web log analyzer using probabilistic data structures

SYNOPSIS

     logswan [-ghv] [-d db] file

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%.

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

     The options are as follows:

     -d db   Specify path to a GeoIP database.

     -g      Enable GeoIP lookups.

     -h      Display usage.

     -v      Display version.

EXAMPLES

     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

AUTHORS

     logswan was written by Frederic Cambus.