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
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#!/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
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################################## 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
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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
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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服务器之家网站的支持!
如果你觉得本文对你有帮助,欢迎转载,烦请注明出处,谢谢!
原文链接:https://www.cnblogs.com/wy123/archive/2019/09/18/11543882.html