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pkgsrc/www/logswan/Makefile

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Follow some http redirects.
2017-08-16 22:21:03 +02:00
# $NetBSD: Makefile,v 1.10 2017/08/16 20:21:16 wiz Exp $
Import logswan-1.00 as www/logswan 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%. Project design goals include : speed, memory-usage efficiency, and keeping the code as simple as possible. Logswan is opinionated software : - It only supports the Common Log Format, in order to keep the parsing code simple - It does not split results per day, but log files can be split prior to being processed
2015-09-29 00:33:43 +02:00
logswan: update to 1.07. Add simple smoketest. Changes since 1.06: Harmonize arrays names Remove array of months, it's currently unused and will likely remain so Simplify internal JSON array and object names Use OpenBSD style(9) for function prototypes and declarations Revert back to using strtok, at least for now Do not use EXIT_SUCCESS and EXIT_FAILURE macros anymore Fix implicit function declaration rrror on NetBSD (Thanks Maya Rashish) Remove now useless variables initialization and unnecessary includes Do not add an extra new line when displaying usage or version
2017-02-15 21:51:57 +01:00
DISTNAME= logswan-1.07
Import logswan-1.00 as www/logswan 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%. Project design goals include : speed, memory-usage efficiency, and keeping the code as simple as possible. Logswan is opinionated software : - It only supports the Common Log Format, in order to keep the parsing code simple - It does not split results per day, but log files can be split prior to being processed
2015-09-29 00:33:43 +02:00
CATEGORIES= www
MASTER_SITES= ${MASTER_SITE_GITHUB:=fcambus/}
Reset maintainer to pkgsrc-users@NetBSD.org Change requested by Frederic Cambus.
2016-09-11 17:59:29 +02:00
MAINTAINER= pkgsrc-users@NetBSD.org
Follow some http redirects.
2017-08-16 22:21:03 +02:00
HOMEPAGE= https://www.logswan.org/
Import logswan-1.00 as www/logswan 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%. Project design goals include : speed, memory-usage efficiency, and keeping the code as simple as possible. Logswan is opinionated software : - It only supports the Common Log Format, in order to keep the parsing code simple - It does not split results per day, but log files can be split prior to being processed
2015-09-29 00:33:43 +02:00
COMMENT= Fast Web log analyzer using probabilistic data structures
logswan: update to 1.06. Changed license to 2-clause BSD (from 3-clause) Minor code shuffling. From fcambus (author)
2016-12-18 19:49:39 +01:00
LICENSE= 2-clause-bsd
Import logswan-1.00 as www/logswan 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%. Project design goals include : speed, memory-usage efficiency, and keeping the code as simple as possible. Logswan is opinionated software : - It only supports the Common Log Format, in order to keep the parsing code simple - It does not split results per day, but log files can be split prior to being processed
2015-09-29 00:33:43 +02:00
USE_CMAKE= yes
Update www/logswan to 1.04 Package changes: - follow upstream with the rule what's installed of the files - use newly added -DGEOIPDIR in the place of older string replace function - stop installing an example output as a configuration file Upstream changelog: Logswan 1.04 (2016-01-10) - Moving global variables into main - Using 'size_t' instead of 'int' for array indexes in for loops - Using 'uint32_t' for all non 'uint64_t' integers - Do not increment hits and processed lines counter for each parsed line, compute total only once when everything is parsed - Setting 'CMAKE_BUILD_TYPE' to 'Release' and formatting fixes - Sanitize CMake script to build under NetBSD (Thanks Kamil Rytarowski) - Initializing some uninitialized variables - Renaming 'DATADIR' variables to 'GEOIPDIR' Logswan 1.03 (2016-01-01) - Remove header display and do not print name of processed file - Print results to stderr instead of stdout - Output JSON data to stdout instead of creating a new file - Define GeoIP databases path in CMakeLists.txt - Adding log file name in the JSON output - Removing some hardcoded values and replacing them with constants defined in config.h - Breaking the loop when a match is found in the request parser - Using enumeration constants instead of macros - Process GeoIP continent information - Re-ordering protocols and methods with more common occurences on top of the list, allowing to break earlier when iterating through the array - Adding support for reading logs from standard input - Renaming 'definitions' files to 'config' - Increasing countries array size, as an attempt to be future-proof - Initial support for using pledge() on OpenBSD - Documentation updates (HLL precision, Features list, GeoIP databases) - Updated JSON output example - Added a manual page Logswan 1.02 (2015-11-02) - Renaming 'resource' variable to 'request' in the 'logLine' struct - Do not attempt to parse empty date tokens - Do not attempt to parse empty request tokens (Thanks Brian Carpenter for reporting the issue)
2016-01-11 08:11:20 +01:00
CMAKE_ARGS+= -DGEOIPDIR=${PREFIX}/share/GeoIP
Import logswan-1.00 as www/logswan 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%. Project design goals include : speed, memory-usage efficiency, and keeping the code as simple as possible. Logswan is opinionated software : - It only supports the Common Log Format, in order to keep the parsing code simple - It does not split results per day, but log files can be split prior to being processed
2015-09-29 00:33:43 +02:00
logswan: update to 1.07. Add simple smoketest. Changes since 1.06: Harmonize arrays names Remove array of months, it's currently unused and will likely remain so Simplify internal JSON array and object names Use OpenBSD style(9) for function prototypes and declarations Revert back to using strtok, at least for now Do not use EXIT_SUCCESS and EXIT_FAILURE macros anymore Fix implicit function declaration rrror on NetBSD (Thanks Maya Rashish) Remove now useless variables initialization and unnecessary includes Do not add an extra new line when displaying usage or version
2017-02-15 21:51:57 +01:00
do-test:
logswan ${WRKSRC}/examples/logswan.json
Import logswan-1.00 as www/logswan 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%. Project design goals include : speed, memory-usage efficiency, and keeping the code as simple as possible. Logswan is opinionated software : - It only supports the Common Log Format, in order to keep the parsing code simple - It does not split results per day, but log files can be split prior to being processed
2015-09-29 00:33:43 +02:00
.include "../../textproc/jansson/buildlink3.mk"
.include "../../net/GeoIP/buildlink3.mk"
.include "../../mk/bsd.pkg.mk"
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