import rediscluster
from rediscluster.client import StrictRedisCluster
startup_nodes=[{"host":"192.168.31.229","port":"7000"}]
rc=StrictRedisCluster(startup_nodes=startup_nodes,decode_responses=True)
rc.set('foo','bar')
value=rc.get('foo')
print value
'port': 9004
}, {
'host': '114.116.43.125',
'port': 9005
}, {
'host': '114.116.43.125',
'port': 9006
}]
cluster_client = StrictRedisCluster(
startup_nodes=nodes,
max_connections=20,
skip_full_coverage_check=True,
)
#建立连接好缓慢啊，几乎要四五分钟,节点可以填一两个就行，没全部填进入也没事,慢是因为集群配置有问题吗,这个库会缓存所有的集群槽，
# 一直在nodemanage.py里面的initialize 中循环循环（212行）,在内网测试就非常快，所以这个没有多大的问题
tmp = cluster_client.get('zillo')
print(tmp)
print(cluster_client.cluster_info())
'''
Json.cn
在线解析 什么是JSON JSON解析代码 JSON组件
{"172.16.0.71:9001": {"cluster_stats_messages_pong_sent": 337918, "cluster_stats_messages_meet_received": 5, "cluster_state": "ok", "cluster_slots_assigned": 16384, "cluster_known_nodes": 6, "cluster_stats_messages_pong_received": 332547, "cluster_slots_fail": 0, "cluster_stats_messages_received": 670465, "cluster_stats_messages_ping_sent": 332547, "cluster_stats_messages_ping_received": 337913, "cluster_size": 3, "cluster_current_epoch": 6, "cluster_stats_messages_sent": 670465, "cluster_slots_pfail": 0, "cluster_my_epoch": 1, "cluster_slots_ok": 16384}, "172.16.0.71:9002": {"cluster_stats_messages_pong_sent": 327570, "cluster_stats_messages_meet_received": 2, "cluster_state": "ok", "cluster_slots_assigned": 16384, "cluster_stats_messages_meet_sent": 3, "cluster_known_nodes": 6, "cluster_stats_messages_pong_received": 332304, "cluster_slots_fail": 0, "cluster_stats_messages_received": 659874, "cluster_stats_messages_ping_sent": 332301, "cluster_stats_messages_ping_received": 327568, "cluster_size": 3, "cluster_current_epoch": 6, "cluster_stats_messages_sent": 659874, "cluster_slots_pfail": 0, "cluster_my_epoch": 2, "cluster_slots_ok": 16384}, "172.16.0.71:9003": {"cluster_stats_messages_pong_sent": 335109, "cluster_stats_messages_meet_received": 2, "cluster_state": "ok", "cluster_slots_assigned": 16384, "cluster_stats_messages_meet_sent": 4, "cluster_known_nodes": 6, "cluster_stats_messages_pong_received": 332674, "cluster_slots_fail": 0, "cluster_stats_messages_received": 667783, "cluster_stats_messages_ping_sent": 332670, "cluster_stats_messages_ping_received": 335107, "cluster_size": 3, "cluster_current_epoch": 6, "cluster_stats_messages_sent": 667783, "cluster_slots_pfail": 0, "cluster_my_epoch": 3, "cluster_slots_ok": 16384}, "172.16.0.71:9004": {"cluster_stats_messages_pong_sent": 330755, "cluster_stats_messages_meet_received": 2, "cluster_state": "ok", "cluster_slots_assigned": 16384, "cluster_stats_messages_meet_sent": 4, "cluster_known_nodes": 6, "cluster_stats_messages_pong_received": 332622, "cluster_slots_fail": 0, "cluster_stats_messages_received": 663377, "cluster_stats_messages_ping_sent": 332618, "cluster_stats_messages_ping_received": 330753, "cluster_size": 3, "cluster_current_epoch": 6, "cluster_stats_messages_sent": 663377, "cluster_slots_pfail": 0, "cluster_my_epoch": 2, "cluster_slots_ok": 16384}, "172.16.0.71:9005": {"cluster_stats_messages_pong_sent": 340213, "cluster_stats_messages_meet_received": 4, "cluster_state": "ok", "cluster_slots_assigned": 16384, "cluster_stats_messages_meet_sent": 1, "cluster_known_nodes": 6, "cluster_stats_messages_pong_received": 332575, "cluster_slots_fail": 0, "cluster_stats_messages_received": 672788, "cluster_stats_messages_ping_sent": 332574, "cluster_stats_messages_ping_received": 340209, "cluster_size": 3, "cluster_current_epoch": 6, "cluster_stats_messages_sent": 672788, "cluster_slots_pfail": 0, "cluster_my_epoch": 3, "cluster_slots_ok": 16384}, "172.16.0.71:9006": {"cluster_stats_messages_pong_sent": 323682, "cluster_stats_messages_meet_received": 2, "cluster_state": "ok", "cluster_slots_assigned": 16384, "cluster_stats_messages_meet_sent": 5, "cluster_known_nodes": 6, "cluster_stats_messages_pong_received": 332525, "cluster_slots_fail": 0, "cluster_stats_messages_received": 656207, "cluster_stats_messages_ping_sent": 332520, "cluster_stats_messages_ping_received": 323680, "cluster_size": 3, "cluster_current_epoch": 6, "cluster_stats_messages_sent": 656207, "cluster_slots_pfail": 0, "cluster_my_epoch": 1, "cluster_slots_ok": 16384}}
{
"172.16.0.71:9001":{
"cluster_stats_messages_pong_sent":337918,
"cluster_stats_messages_meet_received":5,
"cluster_state":"ok",
"cluster_slots_assigned":16384,
from rediscluster.client import StrictRedisCluster
if __name__ == '__main__':
nodes = [
{
'host': '192.168.210.174',
'port': 7001
},
{
'host': '192.168.210.174',
'port': 7002
},
{
'host': '192.168.210.173',
'port': 7004
},
]
# 创建连接到集群的对象
strict_redis_cluster = StrictRedisCluster(startup_nodes=nodes,
decode_responses=True)
# 通过strict_redis_cluster对象实现对Redis数据的操作
strict_redis_cluster.set('username', 'redis')
username = strict_redis_cluster.get('username')
print(username)