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Remove necessary CONFLICTS.
Update package description, WWW. Bump PORTREVISION.
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svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=269663
@ -7,6 +7,7 @@
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PORTNAME= redis
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PORTVERSION= 2.2.1
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PORTREVISION= 1
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CATEGORIES= databases
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MASTER_SITES= GOOGLE_CODE
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@ -17,8 +18,6 @@ LIB_DEPENDS= execinfo.1:${PORTSDIR}/devel/libexecinfo
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CFLAGS+= -I${LOCALBASE}/include
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CONFLICTS?= redis-2.0.*
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USE_GMAKE= yes
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USE_RC_SUBR= redis.sh
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BIN_FILES= redis-benchmark redis-check-aof redis-check-dump \
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@ -1,14 +1,19 @@
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Redis is a key-value database. It is similar to memcached but the
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dataset is not volatile, and values can be strings, exactly like in
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memcached, but also lists and sets with atomic operations to push/pop
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elements.
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Redis is an open source, advanced key-value store. It is often referred
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to as a data structure server since keys can contain strings, hashes,
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lists, sets and sorted sets.
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In order to be very fast but at the same time persistent the whole
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dataset is taken in memory and from time to time and/or when a number of
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changes to the dataset are performed it is written asynchronously on
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disk. You may lost the last few queries that is acceptable in many
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applications but it is as fast as an in memory DB (Redis supports
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non-blocking master-slave replication in order to solve this problem by
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redundancy).
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You can run atomic operations on these types, like appending to a string;
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incrementing the value in a hash; pushing to a list; computing set
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intersection, union and difference; or getting the member with highest
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ranking in a sorted set.
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WWW: http://code.google.com/p/redis/
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In order to achieve its outstanding performance, Redis works with an
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in-memory dataset. Depending on your use case, you can persist it either
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by dumping the dataset to disk every once in a while, or by appending each
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command to a log.
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Redis also supports trivial-to-setup master-slave replication, with very
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fast non-blocking first synchronization, auto-reconnection on net split
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and so forth.
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WWW: http://redis.io/
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