Files
guru/dev-python/uhashring/metadata.xml
Anna (cybertailor) Vyalkova 1e95f22062 */*: update metadata schema uri
Signed-off-by: Anna (cybertailor) Vyalkova <cyber+gentoo@sysrq.in>
2023-03-04 18:56:32 +05:00

31 lines
1.6 KiB
XML

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="person">
<description>comaintainers welcome</description>
<email>lssndrbarbieri@gmail.com</email>
<name>Alessandro Barbieri</name>
</maintainer>
<longdescription lang="en">
uhashring implements consistent hashing in pure Python.
Consistent hashing is mostly used on distributed systems/caches/databases as this avoid the total reshuffling of your key-node mappings when adding or removing a node in your ring (called continuum on libketama). More information and details about this can be found in the literature section.
This full featured implementation offers:
a lot of convenient methods to use your consistent hash ring in real world applications.
simple integration with other libs such as memcache through monkey patching.
a full ketama compatibility if you need to use it (see important mention below).
all the missing functions in the libketama C python binding (which is not even available on pypi) for ketama users.
possibility to use your own weight and hash functions if you don't care about the ketama compatibility.
instance-oriented usage so you can use your consistent hash ring object directly in your code (see advanced usage).
native pypy support, since this is a pure python library.
tests of implementation, key distribution and ketama compatibility.
Per node weight is also supported and will affect the nodes distribution on the ring.
</longdescription>
<upstream>
<remote-id type="github">ultrabug/uhashring</remote-id>
<remote-id type="pypi">uhashring</remote-id>
</upstream>
</pkgmetadata>