四组,四主四备
第一步:下载
wget http://download.redis.io/releases/redis-3.2.11.tar.gz |
第二步:编译安装
系统需要安装
yum install gcc -y yum install jemalloc-devel jemalloc -y yum install readline-devel -y yum install ruby -y |
#安装到/usr/local/redis目录 mkdir -p /usr/local/ #编译 tar xzvf redis-3.2.11.tar.gz -C /usr/local/ mkdir -p /usr/local/redis cd /usr/local/redis-3.2.11 cd deps 每一个都进行一下make 一下 make PREFIX=/usr/local/redis install mkdir -p /usr/local/redis/{log,conf,rdb,run} cd /usr/local/redis-3.2.11 cp src/redis-trib.rb /usr/local/redis/bin/ gem install -l redis-3.3.5.gem |
https://rubygems.org/downloads/redis-3.3.5.gem
修改系统的配置
启动redis实例前先修改一些系统级别的配置 Vi /etc/rc.local echo never > /sys/kernel/mm/transparent_hugepage/enabled # 打开/etc/sysctl.conf,追加如下内容 vm.overcommit_memory = 1 net.core.somaxconn= 1024 #使配置生效 sysctl -p
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配置
bind 0.0.0.0 daemonize yes pidfile /usr/local/redis/run/redis-6379.pid port 6379 tcp-backlog 511 timeout 0 tcp-keepalive 0 loglevel notice logfile "/usr/local/redis/log/redis-6379.log" databases 16 #save 900 1 #save 300 10 #save 60 10000 stop-writes-on-bgsave-error yes rdbcompression yes rdbchecksum yes dbfilename dump-6379.rdb dir /usr/local/redis/rdb slave-serve-stale-data yes slave-read-only yes repl-diskless-sync no repl-diskless-sync-delay 5 repl-disable-tcp-nodelay no slave-priority 100 #appendonly yes appendfilename "redis-6379.aof" appendfsync everysec no-appendfsync-on-rewrite no auto-aof-rewrite-percentage 100 auto-aof-rewrite-min-size 64mb aof-load-truncated yes lua-time-limit 5000 cluster-enabled yes cluster-config-file nodes-6379.conf cluster-node-timeout 15000 slowlog-log-slower-than 10000 slowlog-max-len 128 latency-monitor-threshold 0 notify-keyspace-events "" hash-max-ziplist-entries 512 hash-max-ziplist-value 64 list-max-ziplist-entries 512 list-max-ziplist-value 64 set-max-intset-entries 512 zset-max-ziplist-entries 128 zset-max-ziplist-value 64 hll-sparse-max-bytes 3000 activerehashing yes client-output-buffer-limit normal 0 0 0 client-output-buffer-limit slave 256mb 64mb 60 client-output-buffer-limit pubsub 32mb 8mb 60 hz 10 aof-rewrite-incremental-fsync yes maxmemory 12000000000 #最大内存使用率 maxmemory-policy volatile-lru #则删冷数据 |
maxmemory:12000000000
maxmemory_human:11.18G
maxmemory_policy:volatile-lru
cd /usr/local/redis/bin/redis-server /usr/local/redis/conf/redis.conf ./redis-server /usr/local/redis/conf/redis.conf ./redis-server /usr/local/redis/conf/redis.conf ./redis-server /usr/local/redis/conf/redis.conf ./redis-server /usr/local/redis/conf/redis.conf ./redis-server /usr/local/redis/conf/redis.conf ./redis-server /usr/local/redis/conf/redis.conf |
创建集群:
./redis-trib.rb create 10.0.0.71:6379 10.0.0.72:6379 10.0.0.73:6379
10.1.235.185:6383 10.1.235.185:6384 10.1.235.185:6385 10.1.235.185:6386
/root/redis-3.0.3/src/redis-trib.rb create 10.1.235.185:6381 10.1.235.185:6382 10.1.235.185:6383
/root/redis-3.0.3/src/redis-trib.rb add-node --slave --master-id 74407797c0120dcdc4141c11313c9e89d3ea9da2 10.1.235.185:6384 10.1.235.185:6381
/root/redis-3.0.3/src/redis-trib.rb add-node 10.1.235.185:6382 10.1.235.185:6381
/root/redis-3.0.3/src/redis-trib.rb del-node 10.1.235.185:6382(集群任意节点) db6374e57fda139711d4f9e70b9e0ca72314368a (若db6374e57fda139711d4f9e70b9e0ca72314368a这个节点已经挂掉,这个命令删不掉这个节点,会报此节点在集群中不存在,需要使用 cluster forget命令把此节点删除)
/root/redis-3.0.3/src/redis-trib.rb check 10.1.235.185:6381(集群任意节点)
/root/redis-3.0.3/src/redis-trib.rb fix 10.1.235.185:6381(集群任意节点)
master分配槽位:echo -e "500\n${newId}\nall\nyes"|/root/redis-3.0.3/src/redis-trib.rb reshard $newNode(任意节点即可) slave拷贝master(变成slave):/root/redis-3.0.3/src/redis-cli -h 10.1.238.8 -p ${newPort} cluster replicate ${oldmasterId}
/root/redis-3.0.3/src/redis-trib.rb reshard --from all --to 02c4ff22093ba0ba9c79f01e1d81376a5961bcba --slots 100 --yes 10.1.235.185:6381
./redis-trib.rb reshard --from
./redis-trib.rb add-node --slave --master-id 3c3a0c74aae0b56170ccb03a76b60cfe7dc1912e 127.0.0.1:7006 127.0.0.1:7000
/root/redis-3.0.3/src/redis-cli -c -h ai185 -p 6381 get name
/root/redis-3.0.3/src/redis-cli -c -h ai185 -p 6383 shutdown
/root/redis-3.0.3/src/redis-cli -c -h ai185 -p 6383 cluster nodes
/root/redis-3.0.3/src/redis-cli -c -h ai185 -p 6381 bgrewriteaof
/root/redis-3.0.3/src/redis-cli -c -h ai185 -p 6381 cluster forget 11157fc40e2696e87acf7fb92cf8354936af08d6 (forget后面是需要删除的node id,必须通知集群中的每个节点forget这个节点,即连接每个节点执行cluster forget命令才可以,否则1分钟后这个节点会被重新添加到集群中,并且是handshake状态)
docker run -itd --name r_restore_test1 -v /root/redis/cluster/6481:/etc/redis/data --net=host redis:dcp_1.0
1fc13f4b537eb390b1a052cdc85c0728fa4a8173 10.1.238.8:6384 slave f059f45e50588cfdf1f6bdfc2e24a54702b2792a 0 1449204613525 4 connected d5e2b9f2d0f0f3cc392a9373bfa0b2007e5d7aa1 10.1.238.8:6387 master - 0 1449204608016 7 connected 0-1364 5461-6826 10923-12287 c56b12ca9c373fbde9154c432ec18ddfb3f5d431 10.1.238.8:6386 slave f839ee0ccb7c1ace6a0803f03551032a9af1756d 0 1449204612022 6 connected f839ee0ccb7c1ace6a0803f03551032a9af1756d 10.1.238.8:6383 master - 0 1449204610019 3 connected 12288-16383 899ec6a5cdc9a71898115a8cc7a2b6f593d311e7 10.1.238.8:6385 slave ac85b53a736be5440832576f35764fdd82f91df6 0 1449204609019 5 connected f059f45e50588cfdf1f6bdfc2e24a54702b2792a 10.1.238.8:6381 master - 0 1449204613024 1 connected 1365-5460 db6374e57fda139711d4f9e70b9e0ca72314368a 10.1.238.8:6388 slave d5e2b9f2d0f0f3cc392a9373bfa0b2007e5d7aa1 0 1449204611020 7 connected ac85b53a736be5440832576f35764fdd82f91df6 10.1.238.8:6382 myself,master - 0 0 2 connected 6827-10922
[root@ai185 ~]# /root/redis-3.0.3/src/redis-cli -c -h ai185 -p 6481 cluster nodes LOADING Redis is loading the dataset in memory
[root@ai185 data]# /root/redis-3.0.3/src/redis-cli -c -h ai185 -p 6481 cluster nodes 0817fc4fa5ecb688c9a7154b9911a15e3439accf 10.1.235.185:6481 myself,master - 0 0 4 connected 0-16383 aaba740dae057dd39066ca70137a4a0b7a65b2a2 10.1.235.185:6482 master - 1450077515614 1450077510822 2 connected c37e1e7ae7990c2773d1468efdec4c03ae9df965 10.1.235.185:6483 master - 1450077515614 1450077510822 3 connected
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192.168.206.110:6379
192.168.206.111:6379
192.168.206.112:6379
统计Redis实例每秒的处理能力
监控:
Redis监控:
第一:端口死活:
Redis 6379
第二:cpu使用率
redis-cli info:下面二个大于90告警
used_cpu_sys:
used_cpu_user:
第三:内存
系统内存使用率高于60%告警
第四:集群节点个数,根据集群有几个节点来判断
redis-cli cluster nodes 小于3告警