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Redis Shard ###########
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A Redis sharding implementation.
Redis is great. It's fast, lightweight and easy to use. But when we want to store a mass of data into one single instance, we may encounter some problems such as performance degradation and slow recovery and we need to scale it.
First, Create an RedisShardAPI instance with multiple nodes, node name
must be unique::
from redis_shard.shard import RedisShardAPI
servers = [
{'name': 'server1', 'host': '127.0.0.1', 'port': 10000, 'db': 0},
{'name': 'server2', 'host': '127.0.0.1', 'port': 11000, 'db': 0},
{'name': 'server3', 'host': '127.0.0.1', 'port': 12000, 'db': 0},
]
client = RedisShardAPI(servers, hash_method='md5')
Then, you can access the Redis cluster as you use redis-py <https://github.com/andymccurdy/redis-py>
_::
client.set('test', 1)
client.get('test') # 1
client.zadd('testset', 'first', 1)
client.zadd('testset', 'second', 2)
client.zrange('testset', 0, -1) # [first, second]
If you want to store specific keys on one node for some reason (such as you prefer single instance pipeline, or
you want to use multi-keys command such as sinter
), you should use Hash Tags::
client.set('foo', 2)
client.set('a{foo}', 5)
client.set('b{foo}', 5)
client.set('{foo}d', 5)
client.set('d{foo}e', 5)
client.get_server_name('foo') == client.get_server_name('a{foo}') == client.get_server_name('{foo}d') \
== client.get_server_name('d{foo}e') # True
The string in a braces of a key is the Hash Tag of the key. The hash of a Hash Tag will be treated the hash of the key.
So, keys foo
, bar{foo}
and b{foo}ar
will be sotred in the same node.
.. note:: Hash Tags are not supported with bytes
keys in Python 3.
Tag method
Just add ``tag_`` prefix, you can use any of the normal redis method on the same hash tag::
client.tag_mget("{user:1}question1", "{user:1}question2")
client.tag_delete("{user:1}question1", "{user:1}question2")
Multi-keys method
Only support mget
, mset
and flushdb
.
There are three parameters servers
, hash_method
and sentinel
in the class redis_shard.shard.RedisShardAPI
.
servers
is a list. Each element in it should be a dict or a URL schema.
dict::
[ {'name': 'server1', 'host': '127.0.0.1', 'port': 10000, 'db': 0}, {'name': 'server2', 'host': '127.0.0.1', 'port': 11000, 'db': 0, 'max_connections': 50}, {'name': 'server3', 'host': '127.0.0.1', 'port': 12000, 'db': 0}, ]
URL schema::
[ 'redis://127.0.0.1:10000/0?name=node1', 'redis://127.0.0.1:11000/0?name=node2&max_connections=50', 'redis://127.0.0.1:12000/0?name=node3' ]
If the following parameter sentinel
is enabled, only name is needed for the servers
config.
hash_method
is a string which indicate the method of generating the hash key of the consistent hash ring.
The default value is crc32. It also supports md5 and sha1.
sentinel
is the config for Redis Sentinel <http://redis.io/topics/sentinel>
_. With the sentinel support, redis-shard
will do read/write splitting. Config is like this::
{"hosts": [('localhost', 26379)], "socket_timeout": 0.1}
Redis Shard is basically inspired by this article <http://oldblog.antirez.com/post/redis-presharding.html>
_.
append
and getrange
method, thks @simon-liukeys
.FAQs
Redis Sharding API
We found that redis-shard demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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