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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%. String representations of IP addresses are used and preferred as they offer better precision. Project design goals include: speed, memory-usage efficiency, and keeping the code as simple as possible.

Homepage:

https://www.logswan.org/ https://github.com/fcambus/logswan/

Versions

Metadata

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%. String representations of IP addresses are used and preferred as they offer better precision. Project design goals include: speed, memory-usage efficiency, and keeping the code as simple as possible.

Maintainers

• Maciej Barć (xgqt@gentoo.org) - Type: person

Upstream

• Bugs: https://github.com/fcambus/logswan/issues/
• Changelog: https://raw.githubusercontent.com/fcambus/logswan/master/ChangeLog
• Remote IDs:
  • github: fcambus/logswan

<pkgmetadata>
	<maintainer type="person">
		<email>xgqt@gentoo.org</email>
		<name>Maciej Barć</name>
	</maintainer>
	<longdescription>
    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%. String representations of IP addresses are used and
    preferred as they offer better precision. Project design goals include:
    speed, memory-usage efficiency, and keeping the code as simple as possible.
  </longdescription>
	<upstream>
		<changelog>https://raw.githubusercontent.com/fcambus/logswan/master/ChangeLog</changelog>
		<bugs-to>https://github.com/fcambus/logswan/issues/</bugs-to>
		<remote-id type="github">fcambus/logswan</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] Missing md5-cache for version 9999. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
• [Warning] Missing md5-cache for version 2.1.15. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.

Manifest