kpriv/freebsd-ports
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

Remove necessary CONFLICTS.

Browse source 
Update package description, WWW.

Bump PORTREVISION.
This commit is contained in:
Sergey A. Osokin 2011-02-25 07:54:55 +00:00
parent 5e9f42cbda
commit 14905080a5
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=269663
2 changed files with 18 additions and 14 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

3
databases/redis/Makefile
View file

@ -7,6 +7,7 @@
PORTNAME= redis
PORTVERSION= 2.2.1
PORTREVISION= 1
CATEGORIES= databases
MASTER_SITES= GOOGLE_CODE
@ -17,8 +18,6 @@ LIB_DEPENDS= execinfo.1:${PORTSDIR}/devel/libexecinfo
CFLAGS+= -I${LOCALBASE}/include
CONFLICTS?= redis-2.0.*
USE_GMAKE= yes
USE_RC_SUBR= redis.sh
BIN_FILES= redis-benchmark redis-check-aof redis-check-dump \

29
databases/redis/pkg-descr
View file

@ -1,14 +1,19 @@
Redis is a key-value database. It is similar to memcached but the
dataset is not volatile, and values can be strings, exactly like in
memcached, but also lists and sets with atomic operations to push/pop
elements.
Redis is an open source, advanced key-value store. It is often referred
to as a data structure server since keys can contain strings, hashes,
lists, sets and sorted sets.
In order to be very fast but at the same time persistent the whole
dataset is taken in memory and from time to time and/or when a number of
changes to the dataset are performed it is written asynchronously on
disk. You may lost the last few queries that is acceptable in many
applications but it is as fast as an in memory DB (Redis supports
non-blocking master-slave replication in order to solve this problem by
redundancy).
You can run atomic operations on these types, like appending to a string;
incrementing the value in a hash; pushing to a list; computing set
intersection, union and difference; or getting the member with highest
ranking in a sorted set.
WWW: http://code.google.com/p/redis/
In order to achieve its outstanding performance, Redis works with an
in-memory dataset. Depending on your use case, you can persist it either
by dumping the dataset to disk every once in a while, or by appending each
command to a log.
Redis also supports trivial-to-setup master-slave replication, with very
fast non-blocking first synchronization, auto-reconnection on net split
and so forth.
WWW: http://redis.io/