Redis自动化安装及集群如何实现搭建过程

Redis实例安装

安装说明：自动解压缩安装包，按照指定路径编译安装，复制配置文件模板到Redis实例路的数据径下，根据端口号修改

配置文件模板

配置文件，当前shell脚本，安装包

参数1：basedir,redis安装包路径

参数2：安装实例路径

参数3：安装包名称

参数4：安装实例的端口号

#!/bin/bash
set -e
if [ $# -lt 4 ]; then
    echo "$(basename $0): Missing script argument"
    echo "$(installdir $0) [installfilename] [port] "
    exit 9
fi
PotInUse=`netstat -anp | awk '{print $4}' | grep $4 | wc -l`
if [ $PotInUse -gt 0 ];then
 echo "ERROR" $4 "Port is used by another process!"
 exit 9
fi
basedir=$1
installdir=$2
installfilename=$3
port=$4
cd $basedir
tar -zxvf $installfilename.tar.gz >/dev/null 2>&1 &
cd $installfilename
mkdir -p $installdir
make PREFIX=$installdir install
sleep 1s 
cp $basedir/redis.conf $installdir

sed -i "s/instance_port/$port/g" $installdir/redis.conf
sleep 1s 
cd $installdir
./bin/redis-server redis.conf >/dev/null 2>&1 &

配置文件模板

################################## INCLUDES ###################################
# include /path/to/local.conf
# include /path/to/other.conf
################################## MODULES #####################################
# loadmodule /path/to/my_module.so
# loadmodule /path/to/other_module.so
################################## NETWORK #####################################
bind 127.0.0.1 & your ip
port instance_port
tcp-backlog 511
timeout 0
tcp-keepalive 300
################################# GENERAL #####################################
daemonize yes
supervised no
pidfile ./redis_instance_port.pid
loglevel notice
logfile ./redis_log.log
databases 16
always-show-logo yes
################################ SNAPSHOTTING ################################
save 900 1
save 300 10
save 60 10000
stop-writes-on-bgsave-error yes
rdbcompression yes
rdbchecksum yes
dbfilename dump.rdb
dir ./
################################# REPLICATION #################################
# masterauth <master-password>
replica-serve-stale-data yes
replica-read-only yes
repl-diskless-sync no
repl-diskless-sync-delay 5
repl-disable-tcp-nodelay no
replica-priority 100
################################## SECURITY ###################################
requirepass your_passwrod
################################### CLIENTS ####################################
# maxclients 10000
############################## MEMORY MANAGEMENT ################################
# maxmemory <bytes>
# maxmemory-policy noeviction
# maxmemory-samples 5
# replica-ignore-maxmemory yes
############################# LAZY FREEING ####################################
lazyfree-lazy-eviction no
lazyfree-lazy-expire no
lazyfree-lazy-server-del no
replica-lazy-flush no
############################## APPEND ONLY MODE ###############################
appendonly no
appendfilename "appendonly.aof"
# appendfsync always
appendfsync everysec
# appendfsync no
no-appendfsync-on-rewrite no
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
aof-load-truncated yes
aof-use-rdb-preamble yes
################################ LUA SCRIPTING ###############################
lua-time-limit 5000
################################ REDIS CLUSTER ###############################
cluster-enabled yes
# cluster-replica-validity-factor 10
# cluster-require-full-coverage yes
# cluster-replica-no-failover no
########################## CLUSTER DOCKER/NAT support ########################
################################## SLOW LOG ###################################
slowlog-log-slower-than 10000
slowlog-max-len 128
################################ LATENCY MONITOR ##############################
latency-monitor-threshold 0
############################# EVENT NOTIFICATION ##############################
notify-keyspace-events ""
############################### ADVANCED CONFIG ###############################
hash-max-ziplist-entries 512
hash-max-ziplist-value 64
list-max-ziplist-size -2
list-compress-depth 0
set-max-intset-entries 512
zset-max-ziplist-entries 128
zset-max-ziplist-value 64
hll-sparse-max-bytes 3000
stream-node-max-bytes 4096
stream-node-max-entries 100
activerehashing yes
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit replica 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60
# client-query-buffer-limit 1gb
# proto-max-bulk-len 512mb
hz 10
dynamic-hz yes
aof-rewrite-incremental-fsync yes
rdb-save-incremental-fsync yes
########################### ACTIVE DEFRAGMENTATION #######################
# Enabled active defragmentation
# activedefrag yes
# Minimum amount of fragmentation waste to start active defrag
# active-defrag-ignore-bytes 100mb
# Minimum percentage of fragmentation to start active defrag
# active-defrag-threshold-lower 10
# Maximum percentage of fragmentation at which we use maximum effort
# active-defrag-threshold-upper 100
# Minimal effort for defrag in CPU percentage
# active-defrag-cycle-min 5
# Maximal effort for defrag in CPU percentage
# active-defrag-cycle-max 75
# Maximum number of set/hash/zset/list fields that will be processed from
# the main dictionary scan
# active-defrag-max-scan-fields 1000

安装示例

sh redis_install.sh /usr/local/redis/  /usr/local/redis5/redis9008/ redis-5.0.4 9008

Redi实例的目录结构

基于Python的Redis自动化集群实现

基于Python的自动化集群实现，初始化节点为node_1~node_6，节点实例需要为集群模式，三主三从，自动化集群，分配slots，加入从节点，3秒钟左右完成

import redis

#master
node_1 = {'host': '127.0.0.1', 'port': 9001, 'password': '***'}
node_2 = {'host': '127.0.0.1', 'port': 9002, 'password': '***'}
node_3 = {'host': '127.0.0.1', 'port': 9003, 'password': '***'}
#slave
node_4 = {'host': '127.0.0.1', 'port': 9004, 'password': '***'}
node_5 = {'host': '127.0.0.1', 'port': 9005, 'password': '***'}
node_6 = {'host': '127.0.0.1', 'port': 9006, 'password': '***'}

redis_conn_1 = redis.StrictRedis(host=node_1["host"], port=node_1["port"], password=node_1["password"])
redis_conn_2 = redis.StrictRedis(host=node_2["host"], port=node_2["port"], password=node_2["password"])
redis_conn_3 = redis.StrictRedis(host=node_3["host"], port=node_3["port"], password=node_3["password"])

# cluster meet
redis_conn_1.execute_command("cluster meet {0} {1}".format(node_2["host"],node_2["port"]))
redis_conn_1.execute_command("cluster meet {0} {1}".format(node_3["host"],node_3["port"]))
print('#################flush slots #################')
redis_conn_1.execute_command('cluster flushslots')
redis_conn_2.execute_command('cluster flushslots')
redis_conn_3.execute_command('cluster flushslots')
print('#################add slots#################')
for i in range(0,16383+1):
  if i <= 5461:
    try:
      redis_conn_1.execute_command('cluster addslots {0}'.format(i))
    except:
      print('cluster addslots {0}'.format(i) +' error')
  elif 5461 < i and i <= 10922:
    try:
      redis_conn_2.execute_command('cluster addslots {0}'.format(i))
    except:
      print('cluster addslots {0}'.format(i) + ' error')
  elif 10922 < i:
    try:
      redis_conn_3.execute_command('cluster addslots {0}'.format(i))
    except:
      print('cluster addslots {0}'.format(i) + ' error')
print()
print('#################cluster status#################')
print()
print('##################'+str(node_1["host"])+':'+str(node_1["port"])+'##################')
print(str(redis_conn_1.execute_command('cluster info'), encoding = "utf-8").split("\n")[0])
print('##################'+str(node_2["host"])+':'+str(node_2["port"])+'##################')
print(str(redis_conn_1.execute_command('cluster info'), encoding = "utf-8").split("\n")[0])
print('##################'+str(node_3["host"])+':'+str(node_3["port"])+'##################')
print(str(redis_conn_1.execute_command('cluster info'), encoding = "utf-8").split("\n")[0])
#slave cluster meet
redis_conn_1.execute_command("cluster meet {0} {1}".format(node_4["host"],node_4["port"]))
redis_conn_2.execute_command("cluster meet {0} {1}".format(node_5["host"],node_5["port"]))
redis_conn_3.execute_command("cluster meet {0} {1}".format(node_6["host"],node_6["port"]))
#cluster nodes
print(str(redis_conn_1.execute_command('cluster nodes'), encoding = "utf-8"))

示例

这样一个Redis的集群，从实例的安装到集群的安装，环境依赖本身没有问题的话，基本上1分钟之内可以完成这个搭建过程。

总结

以上所述是小编给大家介绍的Redis自动化安装及集群实现搭建过程,希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对网站的支持！

到此这篇关于Redis自动化安装及集群如何实现搭建过程就介绍到这了。对牛弹琴伤心的不是牛，先了解对象后，再“弹琴”。更多相关Redis自动化安装及集群如何实现搭建过程内容请查看相关栏目，小编编辑不易，再次感谢大家的支持！