SpringBoot進階教程(三十)整合Redis之Sentinel哨兵模式

Redis-Sentinel是官方推薦的高可用解決方案，當redis在做master-slave的高可用方案時，假如master宕機了，redis本身（以及其很多客戶端）都沒有實現自動進行主備切換，而redis-sentinel本身也是獨立運行的進程，可以部署在其他與redis集群可通訊的機器中監控redis集群。

v哨兵作用

圖解

v工作機制

Redis提供了sentinel（哨兵）機制，通過sentinel模式啟動redis後，自動監控master/slave的運行狀態，基本原理是：心跳機制+投票裁決 。每個sentinel會向其它sentinal、master、slave定時發送消息，以確認對方是否“活”著，如果發現對方在指定時間（可配置）內未回應，則暫時認為對方已掛（所謂的“主觀認為宕機” Subjective Down，簡稱SDOWN）。

若”哨兵群”中的多數sentinel，都報告某一master沒響應，系統才認為該master”徹底死亡”(即：客觀上的真正down機，Objective Down，簡稱ODOWN)，通過一定的vote演算法，從剩下的slave節點中，選一臺提升為master，然後自動修改相關配置。

vredis-sentinel環境搭建

搭建哨兵環境之前，需要先安裝Redis，若你還沒有安裝Redis，可以先看這裡《centos安裝Redis》

1.0 在/usr/local/ 下新建一個目錄redis-sentinelmkdir /usr/local/redis-sentinel

1.1 在新目錄下簡7個目錄mkdir /usr/local/redis-sentinel/{7501,7502,7503,7504,7505,7506,7507}

1.2 依次將redis安裝目錄下的reids.conf，拷貝到前4個目錄下cp /root/redis-5.0.2/redis.conf /usr/local/redis-sentinel/7501/redis-7501.conf

1.3 依次修改新拷貝的4個redis.conf文件內容

daemonize yes
pidfile /var/run/redis_7501.pid
port 7501
# bind 127.0.0.1  可選，預設就處理所有請求。
logfile "./redis-7501.log"
dir "/usr/local/redis-sentinel/7501"
#redis配置密碼的話，需要以下配置
#masterauth "123456"
#requirepass "123456"
appendonly yes

1.4 redis.conf詳細介紹

##redis配置詳解

# Redis configuration file example.
#
# Note that in order to read the configuration file, Redis must be
# started with the file path as first argument:
#
# ./redis-server /path/to/redis.conf

# Note on units: when memory size is needed, it is possible to specify
# it in the usual form of 1k 5GB 4M and so forth:
#
# 1k => 1000 bytes
# 1kb => 1024 bytes
# 1m => 1000000 bytes
# 1mb => 1024*1024 bytes
# 1g => 1000000000 bytes
# 1gb => 1024*1024*1024 bytes
#
# units are case insensitive so 1GB 1Gb 1gB are all the same.

################################## INCLUDES ###################################
################################## 包含     ###################################

# Include one or more other config files here.  This is useful if you
# have a standard template that goes to all Redis servers but also need
# to customize a few per-server settings.  Include files can include
# other files, so use this wisely.
#
# Notice option "include" won't be rewritten by command "CONFIG REWRITE"
# from admin or Redis Sentinel. Since Redis always uses the last processed
# line as value of a configuration directive, you'd better put includes
# at the beginning of this file to avoid overwriting config change at runtime.
#
# If instead you are interested in using includes to override configuration
# options, it is better to use include as the last line.
#
# 假如說你有一個可用於所有的 redis server 的標準配置模板，
# 但針對某些 server 又需要一些個性化的設置，
# 你可以使用 include 來包含一些其他的配置文件，這對你來說是非常有用的。
#
# 但是要註意哦，include 是不能被 config rewrite 命令改寫的
# 由於 redis 總是以最後的加工線作為一個配置指令值，所以你最好是把 include 放在這個文件的最前面，
# 以避免在運行時覆蓋配置的改變，相反，你就把它放在後面
# include /path/to/local.conf
# include /path/to/other.conf

################################ GENERAL  #####################################
################################ 常用     #####################################

# By default Redis does not run as a daemon. Use 'yes' if you need it.
# Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
# 預設情況下 redis 不是作為守護進程運行的，如果你想讓它在後臺運行，你就把它改成 yes。
# 當redis作為守護進程運行的時候，它會寫一個 pid 到 /var/run/redis.pid 文件裡面。
daemonize yes

# When running daemonized, Redis writes a pid file in /var/run/redis.pid by
# default. You can specify a custom pid file location here.
# 當 Redis 以守護進程的方式運行的時候，Redis 預設會把 pid 文件放在/var/run/redis.pid
# 可配置到其他地址，當運行多個 redis 服務時，需要指定不同的 pid 文件和埠
# 指定存儲Redis進程號的文件路徑
pidfile /var/run/redis.pid

# Accept connections on the specified port, default is 6379.
# If port 0 is specified Redis will not listen on a TCP socket.
# 埠，預設埠是6379，生產環境中建議更改埠號，安全性更高
# 如果你設為 0 ，redis 將不在 socket 上監聽任何客戶端連接。
port 9966

# TCP listen() backlog.
#
# In high requests-per-second environments you need an high backlog in order
# to avoid slow clients connections issues. Note that the Linux kernel
# will silently truncate it to the value of /proc/sys/net/core/somaxconn so
# make sure to raise both the value of somaxconn and tcp_max_syn_backlog
# in order to get the desired effect.
# TCP 監聽的最大容納數量
# 此參數確定了TCP連接中已完成隊列(完成三次握手之後)的長度，
# 當系統併發量大並且客戶端速度緩慢的時候，你需要把這個值調高以避免客戶端連接緩慢的問題。
# Linux 內核會一聲不響的把這個值縮小成 /proc/sys/net/core/somaxconn 對應的值，預設是511，而Linux的預設參數值是128。
# 所以可以將這二個參數一起參考設定，你以便達到你的預期。
#  
tcp-backlog 511

# By default Redis listens for connections from all the network interfaces
# available on the server. It is possible to listen to just one or multiple
# interfaces using the "bind" configuration directive, followed by one or
# more IP addresses.
#
# Examples:
#
# bind 192.168.1.100 10.0.0.1
# 有時候為了安全起見，redis一般都是監聽127.0.0.1 但是有時候又有同網段能連接的需求，當然可以綁定0.0.0.0 用iptables來控制訪問許可權，或者設置redis訪問密碼來保證數據安全

# 不設置將處理所有請求,建議生產環境中設置，有個誤區：bind是用來限制外網IP訪問的，其實不是，限制外網ip訪問可以通過iptables；如：-A INPUT -s 10.10.1.0/24 -p tcp -m state --state NEW -m tcp --dport 9966 -j ACCEPT ；
# 實際上，bind ip 綁定的是redis所在伺服器網卡的ip，當然127.0.0.1也是可以的
#如果綁定一個外網ip，就會報錯：Creating Server TCP listening socket xxx.xxx.xxx.xxx:9966: bind: Cannot assign requested address

# bind 127.0.0.1
bind 127.0.0.1 10.10.1.3

# 假設綁定是以上ip，使用 netstat -anp|grep 9966 會發現，這兩個ip被bind，其中10.10.1.3是伺服器網卡的ip
# tcp        0      0 10.10.1.3:9966         0.0.0.0:*                   LISTEN      11188/redis-server  
# tcp        0      0 127.0.0.1:9966         0.0.0.0:*                   LISTEN      11188/redis-server 


# Specify the path for the Unix socket that will be used to listen for
# incoming connections. There is no default, so Redis will not listen
# on a unix socket when not specified.
#
# unixsocket /tmp/redis.sock
# unixsocketperm 700

# Close the connection after a client is idle for N seconds (0 to disable)
# 客戶端和Redis服務端的連接超時時間，預設是0，表示永不超時。
timeout 0

# TCP keepalive.
#
# If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
# of communication. This is useful for two reasons:
#
# 1) Detect dead peers.
# 2) Take the connection alive from the point of view of network
#    equipment in the middle.
#
# On Linux, the specified value (in seconds) is the period used to send ACKs.
# Note that to close the connection the double of the time is needed.
# On other kernels the period depends on the kernel configuration.
#
# A reasonable value for this option is 60 seconds.

# tcp 心跳包。
#
# 如果設置為非零，則在與客戶端缺乏通訊的時候使用 SO_KEEPALIVE 發送 tcp acks 給客戶端。
# 這個之所有有用，主要由兩個原因：
#
# 1) 防止死的 peers
# 2) Take the connection alive from the point of view of network
#    equipment in the middle.
#
# 推薦一個合理的值就是60秒
tcp-keepalive 0

# Specify the server verbosity level.
# This can be one of:
# debug (a lot of information, useful for development/testing)
# verbose (many rarely useful info, but not a mess like the debug level)
# notice (moderately verbose, what you want in production probably)
# warning (only very important / critical messages are logged)
# 日誌記錄等級，4個可選值debug,verbose,notice,warning
# 可以是下麵的這些值：
# debug (適用於開發或測試階段)
# verbose (many rarely useful info, but not a mess like the debug level)
# notice (適用於生產環境)
# warning (僅僅一些重要的消息被記錄)
loglevel notice

# Specify the log file name. Also the empty string can be used to force
# Redis to log on the standard output. Note that if you use standard
# output for logging but daemonize, logs will be sent to /dev/null
#配置 log 文件地址,預設列印在命令行終端的視窗上，也可設為/dev/null屏蔽日誌、
logfile "/data/logs/redis/redis.log"

# To enable logging to the system logger, just set 'syslog-enabled' to yes,
# and optionally update the other syslog parameters to suit your needs.
# 要想把日誌記錄到系統日誌，就把它改成 yes，
# 也可以可選擇性的更新其他的syslog 參數以達到你的要求
# syslog-enabled no

# Specify the syslog identity.
# 設置 syslog 的 identity。
# syslog-ident redis

# Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7.
# syslog-facility local0

# Set the number of databases. The default database is DB 0, you can select
# a different one on a per-connection basis using SELECT <dbid> where
# dbid is a number between 0 and 'databases'-1
# 可用的資料庫數，預設值為16，預設資料庫為0，資料庫範圍在0-（database-1）之間
databases 16

################################ SNAPSHOTTING  ################################
################################ 快照          ################################
#
# Save the DB on disk:
#
#   save <seconds> <changes>
#
#   Will save the DB if both the given number of seconds and the given
#   number of write operations against the DB occurred.
#
#   In the example below the behaviour will be to save:
#   after 900 sec (15 min) if at least 1 key changed
#   after 300 sec (5 min) if at least 10 keys changed
#   after 60 sec if at least 10000 keys changed
#
#   Note: you can disable saving completely by commenting out all "save" lines.
#
#   It is also possible to remove all the previously configured save
#   points by adding a save directive with a single empty string argument
#   like in the following example:
#
#   save ""
# 在 900 秒內最少有 1 個 key 被改動，或者 300 秒內最少有 10 個 key 被改動，又或者 60 秒內最少有 1000 個 key 被改動，以上三個條件隨便滿足一個，就觸發一次保存操作。

#    if(在60秒之內有10000個keys發生變化時){
#      進行鏡像備份
#    }else if(在300秒之內有10個keys發生了變化){
#      進行鏡像備份
#    }else if(在900秒之內有1個keys發生了變化){
#      進行鏡像備份
#    }

save 900 1
save 300 10
save 60 10000

# By default Redis will stop accepting writes if RDB snapshots are enabled
# (at least one save point) and the latest background save failed.
# This will make the user aware (in a hard way) that data is not persisting
# on disk properly, otherwise chances are that no one will notice and some
#:/ disaster will happen.
#
# If the background saving process will start working again Redis will
# automatically allow writes again.
#
# However if you have setup your proper monitoring of the Redis server
# and persistence, you may want to disable this feature so that Redis will
# continue to work as usual even if there are problems with disk,
# permissions, and so forth.
# 預設情況下，如果 redis 最後一次的後臺保存失敗，redis 將停止接受寫操作，
# 這樣以一種強硬的方式讓用戶知道數據不能正確的持久化到磁碟，
# 否則就會沒人註意到災難的發生。
#
# 如果後臺保存進程重新啟動工作了，redis 也將自動的允許寫操作。
#
# 然而你要是安裝了靠譜的監控，你可能不希望 redis 這樣做，那你就改成 no 好
stop-writes-on-bgsave-error yes

# Compress string objects using LZF when dump .rdb databases?
# For default that's set to 'yes' as it's almost always a win.
# If you want to save some CPU in the saving child set it to 'no' but
# the dataset will likely be bigger if you have compressible values or keys.
# 在進行備份時,是否進行壓縮
# 是否在 dump .rdb 資料庫的時候使用 LZF 壓縮字元串
# 預設都設為 yes
# 如果你希望保存子進程節省點 cpu ，你就設置它為 no ，
# 不過這個數據集可能就會比較大
rdbcompression yes

# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
# This makes the format more resistant to corruption but there is a performance
# hit to pay (around 10%) when saving and loading RDB files, so you can disable it
# for maximum performances.
#
# RDB files created with checksum disabled have a checksum of zero that will
# tell the loading code to skip the check.    
# 讀取和寫入的時候是否支持CRC64校驗，預設是開啟的
rdbchecksum yes

# The filename where to dump the DB
# 備份文件的文件名
dbfilename dump.rdb

# The working directory.
#
# The DB will be written inside this directory, with the filename specified
# above using the 'dbfilename' configuration directive.
#
# The Append Only File will also be created inside this directory.
#
# Note that you must specify a directory here, not a file name.
# 資料庫備份的文件放置的路徑
# 路徑跟文件名分開配置是因為 Redis 備份時，先會將當前資料庫的狀態寫入到一個臨時文件
# 等備份完成時，再把該臨時文件替換為上面所指定的文件
# 而臨時文件和上面所配置的備份文件都會放在這個指定的路徑當中
# 預設值為 ./
dir /data/data/redis/

################################# REPLICATION #################################
################################# 主從複製    #################################
# Master-Slave replication. Use slaveof to make a Redis instance a copy of
# another Redis server. A few things to understand ASAP about Redis replication.
#
# 1) Redis replication is asynchronous, but you can configure a master to
#    stop accepting writes if it appears to be not connected with at least
#    a given number of slaves.
# 2) Redis slaves are able to perform a partial resynchronization with the
#    master if the replication link is lost for a relatively small amount of
#    time. You may want to configure the replication backlog size (see the next
#    sections of this file) with a sensible value depending on your needs.
# 3) Replication is automatic and does not need user intervention. After a
#    network partition slaves automatically try to reconnect to masters
#    and resynchronize with them.
#
# 設置該資料庫為其他資料庫的從資料庫
# slaveof <masterip> <masterport> 當本機為從服務時，設置主服務的IP及埠
# slaveof <masterip> <masterport>

# If the master is password protected (using the "requirepass" configuration
# directive below) it is possible to tell the slave to authenticate before
# starting the replication synchronization process, otherwise the master will
# refuse the slave request.
#
# 指定與主資料庫連接時需要的密碼驗證
# masterauth <master-password> 當本機為從服務時，設置訪問master伺服器的密碼
# masterauth <master-password>

# When a slave loses its connection with the master, or when the replication
# is still in progress, the slave can act in two different ways:
#
# 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will
#    still reply to client requests, possibly with out of date data, or the
#    data set may just be empty if this is the first synchronization.
#
# 2) if slave-serve-stale-data is set to 'no' the slave will reply with
#    an error "SYNC with master in progress" to all the kind of commands
#    but to INFO and SLAVEOF.
#
# 當slave伺服器和master伺服器失去連接後，或者當數據正在複製傳輸的時候，如果此參數值設置“yes”，slave伺服器可以繼續接受客戶端的請求，否則，會返回給請求的客戶端如下信息“SYNC with master in progress”,除了INFO，SLAVEOF這兩個命令
slave-serve-stale-data yes

# You can configure a slave instance to accept writes or not. Writing against
# a slave instance may be useful to store some ephemeral data (because data
# written on a slave will be easily deleted after resync with the master) but
# may also cause problems if clients are writing to it because of a
# misconfiguration.
#
# Since Redis 2.6 by default slaves are read-only.
#
# Note: read only slaves are not designed to be exposed to untrusted clients
# on the internet. It's just a protection layer against misuse of the instance.
# Still a read only slave exports by default all the administrative commands
# such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
# security of read only slaves using 'rename-command' to shadow all the
# administrative / dangerous commands.
# 是否允許slave伺服器節點只提供讀服務
slave-read-only yes

# Replication SYNC strategy: disk or socket.
#
# -------------------------------------------------------
# WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY
# -------------------------------------------------------
#
# New slaves and reconnecting slaves that are not able to continue the replication
# process just receiving differences, need to do what is called a "full
# synchronization". An RDB file is transmitted from the master to the slaves.
# The transmission can happen in two different ways:
#
# 1) Disk-backed: The Redis master creates a new process that writes the RDB
#                 file on disk. Later the file is transferred by the parent
#                 process to the slaves incrementally.
# 2) Diskless: The Redis master creates a new process that directly writes the
#              RDB file to slave sockets, without touching the disk at all.
#
# With disk-backed replication, while the RDB file is generated, more slaves
# can be queued and served with the RDB file as soon as the current child producing
# the RDB file finishes its work. With diskless replication instead once
# the transfer starts, new slaves arriving will be queued and a new transfer
# will start when the current one terminates.
#
# When diskless replication is used, the master waits a configurable amount of
# time (in seconds) before starting the transfer in the hope that multiple slaves
# will arrive and the transfer can be parallelized.
#
# With slow disks and fast (large bandwidth) networks, diskless replication
# works better.
repl-diskless-sync no

# When diskless replication is enabled, it is possible to configure the delay
# the server waits in order to spawn the child that transfers the RDB via socket
# to the slaves.
#
# This is important since once the transfer starts, it is not possible to serve
# new slaves arriving, that will be queued for the next RDB transfer, so the server
# waits a delay in order to let more slaves arrive.
#
# The delay is specified in seconds, and by default is 5 seconds. To disable
# it entirely just set it to 0 seconds and the transfer will start ASAP.
repl-diskless-sync-delay 5

# Slaves send PINGs to server in a predefined interval. It's possible to change
# this interval with the repl_ping_slave_period option. The default value is 10
# seconds.
#
# Slaves 在一個預定義的時間間隔內發送 ping 命令到 server 。
# 你可以改變這個時間間隔。預設為 10 秒。
# repl-ping-slave-period 10

# The following option sets the replication timeout for:
#
# 1) Bulk transfer I/O during SYNC, from the point of view of slave.
# 2) Master timeout from the point of view of slaves (data, pings).
# 3) Slave timeout from the point of view of masters (REPLCONF ACK pings).
#
# It is important to make sure that this value is greater than the value
# specified for repl-ping-slave-period otherwise a timeout will be detected
# every time there is low traffic between the master and the slave.
#
# 設置主從複製過期時間
# 這個值一定要比 repl-ping-slave-period 大
# repl-timeout 60

# Disable TCP_NODELAY on the slave socket after SYNC?
#
# If you select "yes" Redis will use a smaller number of TCP packets and
# less bandwidth to send data to slaves. But this can add a delay for
# the data to appear on the slave side, up to 40 milliseconds with
# Linux kernels using a default configuration.
#
# If you select "no" the delay for data to appear on the slave side will
# be reduced but more bandwidth will be used for replication.
#
# By default we optimize for low latency, but in very high traffic conditions
# or when the master and slaves are many hops away, turning this to "yes" may
# be a good idea.
# 指定向slave同步數據時，是否禁用socket的NO_DELAY選 項。若配置為“yes”，則禁用NO_DELAY，則TCP協議棧會合併小包統一發送，這樣可以減少主從節點間的包數量並節省帶寬，但會增加數據同步到 slave的時間。若配置為“no”，表明啟用NO_DELAY，則TCP協議棧不會延遲小包的發送時機，這樣數據同步的延時會減少，但需要更大的帶寬。 通常情況下，應該配置為no以降低同步延時，但在主從節點間網路負載已經很高的情況下，可以配置為yes。
repl-disable-tcp-nodelay no

# Set the replication backlog size. The backlog is a buffer that accumulates
# slave data when slaves are disconnected for some time, so that when a slave
# wants to reconnect again, often a full resync is not needed, but a partial
# resync is enough, just passing the portion of data the slave missed while
# disconnected.
#
# The bigger the replication backlog, the longer the time the slave can be
# disconnected and later be able to perform a partial resynchronization.
#
# The backlog is only allocated once there is at least a slave connected.
#
# 設置主從複製容量大小。這個 backlog 是一個用來在 slaves 被斷開連接時
# 存放 slave 數據的 buffer，所以當一個 slave 想要重新連接，通常不希望全部重新同步，
# 只是部分同步就夠了，僅僅傳遞 slave 在斷開連接時丟失的這部分數據。
#
# The biggest the replication backlog, the longer the time the slave can be
# disconnected and later be able to perform a partial resynchronization.
# 這個值越大，salve 可以斷開連接的時間就越長。

# repl-backlog-size 1mb

# After a master has no longer connected slaves for some time, the backlog
# will be freed. The following option configures the amount of seconds that
# need to elapse, starting from the time the last slave disconnected, for
# the backlog buffer to be freed.
#
# A value of 0 means to never release the backlog.
#
# 在某些時候，master 不再連接 slaves，backlog 將被釋放。
# 如果設置為 0 ，意味著絕不釋放 backlog 。
# repl-backlog-ttl 3600

# The slave priority is an integer number published by Redis in the INFO output.
# It is used by Redis Sentinel in order to select a slave to promote into a
# master if the master is no longer working correctly.
#
# A slave with a low priority number is considered better for promotion, so
# for instance if there are three slaves with priority 10, 100, 25 Sentinel will
# pick the one with priority 10, that is the lowest.
#
# However a special priority of 0 marks the slave as not able to perform the
# role of master, so a slave with priority of 0 will never be selected by
# Redis Sentinel for promotion.
#
# By default the priority is 100.
# 指定slave的優先順序。在不只1個slave存在的部署環境下，當master宕機時，Redis
# Sentinel會將priority值最小的slave提升為master。
# 這個值越小，就越會被優先選中，需要註意的是，
# 若該配置項為0，則對應的slave永遠不會自動提升為master。
slave-priority 100

# It is possible for a master to stop accepting writes if there are less than
# N slaves connected, having a lag less or equal than M seconds.
#
# The N slaves need to be in "online" state.
#
# The lag in seconds, that must be <= the specified value, is calculated from
# the last ping received from the slave, that is usually sent every second.
#
# This option does not GUARANTEE that N replicas will accept the write, but
# will limit the window of exposure for lost writes in case not enough slaves
# are available, to the specified number of seconds
#
# For example to require at least 3 slaves with a lag <= 10 seconds use:
#
# min-slaves-to-write 3
# min-slaves-max-lag 10
#
# Setting one or the other to 0 disables the feature.
#
# By default min-slaves-to-write is set to 0 (feature disabled) and
# min-slaves-max-lag is set to 10.

################################## SECURITY ###################################
################################## 安全     ###################################

# Require clients to issue AUTH <PASSWORD> before processing any other
# commands.  This might be useful in environments in which you do not trust
# others with access to the host running redis-server.
#
# This should stay commented out for backward compatibility and because most
# people do not need auth (e.g. they run their own servers).
#
# Warning: since Redis is pretty fast an outside user can try up to
# 150k passwords per second against a good box. This means that you should
# use a very strong password otherwise it will be very easy to break.
#
# 設置連接redis的密碼
# redis速度相當快，一個外部用戶在一秒鐘進行150K次密碼嘗試，需指定強大的密碼來防止暴力破解
requirepass set_enough_strong_passwd

# Command renaming.
#
# It is possible to change the name of dangerous commands in a shared
# environment. For instance the CONFIG command may be renamed into something
# hard to guess so that it will still be available for internal-use tools
# but not available for general clients.
#
# Example:
#
# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
#
# It is also possible to completely kill a command by renaming it into
# an empty string:
#
# rename-command CONFIG ""
#
# Please note that changing the name of commands that are logged into the
# AOF file or transmitted to slaves may cause problems.
# 重命名一些高危命令，用來禁止高危命令
rename-command FLUSHALL ZYzv6FOBdwflW2nX
rename-command CONFIG aI7zwm1GDzMMrEi
rename-command EVAL S9UHPKEpSvUJMM
rename-command FLUSHDB D60FPVDJuip7gy6l

################################### LIMITS ####################################
################################### 限制   ####################################

# Set the max number of connected clients at the same time. By default
# this limit is set to 10000 clients, however if the Redis server is not
# able to configure the process file limit to allow for the specified limit
# the max number of allowed clients is set to the current file limit
# minus 32 (as Redis reserves a few file descriptors for internal uses).
#
# Once the limit is reached Redis will close all the new connections sending
# an error 'max number of clients reached'.
#
# 限制同時連接的客戶數量,預設是10000
# 當連接數超過這個值時，redis 將不再接收其他連接請求，客戶端嘗試連接時將收到 error 信息
# maxclients 10000

# Don't use more memory than the specified amount of bytes.
# When the memory limit is reached Redis will try to remove keys
# according to the eviction policy selected (see maxmemory-policy).
#
# If Redis can't remove keys according to the policy, or if the policy is
# set to 'noeviction', Redis will start to reply with errors to commands
# that would use more memory, like SET, LPUSH, and so on, and will continue
# to reply to read-only commands like GET.
#
# This option is usually useful when using Redis as an LRU cache, or to set
# a hard memory limit for an instance (using the 'noeviction' policy).
#
# WARNING: If you have slaves attached to an instance with maxmemory on,
# the size of the output buffers needed to feed the slaves are subtracted
# from the used memory count, so that network problems / resyncs will
# not trigger a loop where keys are evicted, and in turn the output
# buffer of slaves is full with DELs of keys evicted triggering the deletion
# of more keys, and so forth until the database is completely emptied.
#
# In short... if you have slaves attached it is suggested that you set a lower
# limit for maxmemory so that there is some free RAM on the system for slave
# output buffers (but this is not needed if the policy is 'noeviction').
#
# 設置redis能夠使用的最大記憶體。
# 達到最大記憶體設置後，Redis會先嘗試清除已到期或即將到期的Key（設置過expire信息的key）
# 在刪除時,按照過期時間進行刪除，最早將要被過期的key將最先被刪除
# 如果已到期或即將到期的key刪光，仍進行set操作，那麼將返回錯誤
# 此時redis將不再接收寫請求,只接收get請求。
# maxmemory的設置比較適合於把redis當作於類似memcached 的緩存來使用
# maxmemory <bytes>

# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
# is reached. You can select among five behaviors:
#
# volatile-lru -> remove the key with an expire set using an LRU algorithm
# allkeys-lru -> remove any key according to the LRU algorithm
# volatile-random -> remove a random key with an expire set
# allkeys-random -> remove a random key, any key
# volatile-ttl -> remove the key with the nearest expire time (minor TTL)
# noeviction -> don't expire at all, just return an error on write operations
#
# Note: with any of the above policies, Redis will return an error on write
#       operations, when there are no suitable keys for eviction.
#
#       At the date of writing these commands are: set setnx setex append
#       incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
#       sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
#       zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
#       getset mset msetnx exec sort
#
# The default is:
#
# maxmemory-policy noeviction

# LRU and minimal TTL algorithms are not precise algorithms but approximated
# algorithms (in order to save memory), so you can tune it for speed or
# accuracy. For default Redis will check five keys and pick the one that was
# used less recently, you can change the sample size using the following
# configuration directive.
#
# The default of 5 produces good enough results. 10 Approximates very closely
# true LRU but costs a bit more CPU. 3 is very fast but not very accurate.
#
# maxmemory-samples 5

############################## APPEND ONLY MODE ###############################

# By default Redis asynchronously dumps the dataset on disk. This mode is
# good enough in many applications, but an issue with the Redis process or
# a power outage may result into a few minutes of writes lost (depending on
# the configured save points).
#
# The Append Only File is an alternative persistence mode that provides
# much better durability. For instance using the default data fsync policy
# (see later in the config file) Redis can lose just one second of writes in a
# dramatic event like a server power outage, or a single write if something
# wrong with the Redis process itself happens, but the operating system is
# still running correctly.
#
# AOF and RDB persistence can be enabled at the same time without problems.
# If the AOF is enabled on startup Redis will load the AOF, that is the file
# with the better durability guarantees.
#
# Please check http://redis.io/topics/persistence for more information.

# redis 預設每次更新操作後會在後臺非同步的把資料庫鏡像備份到磁碟，但該備份非常耗時，且備份不宜太頻繁
# redis 同步數據文件是按上面save條件來同步的
# 如果發生諸如拉閘限電、拔插頭等狀況,那麼將造成比較大範圍的數據丟失
# 所以redis提供了另外一種更加高效的資料庫備份及災難恢復方式
# 開啟append only 模式後,redis 將每一次寫操作請求都追加到appendonly.aof 文件中
# redis重新啟動時,會從該文件恢復出之前的狀態。
# 但可能會造成 appendonly.aof 文件過大，所以redis支持BGREWRITEAOF 指令，對appendonly.aof重新整理,預設是不開啟的。

appendonly no

# The name of the append only file (default: "appendonly.aof")
# 預設為appendonly.aof。
appendfilename "appendonly.aof"

# The fsync() call tells the Operating System to actually write data on disk
# instead of waiting for more data in the output buffer. Some OS will really flush
# data on disk, some other OS will just try to do it ASAP.
#
# Redis supports three different modes:
#
# no: don't fsync, just let the OS flush the data when it wants. Faster.
# always: fsync after every write to the append only log. Slow, Safest.
# everysec: fsync only one time every second. Compromise.
#
# The default is "everysec", as that's usually the right compromise between
# speed and data safety. It's up to you to understand if you can relax this to
# "no" that will let the operating system flush the output buffer when
# it wants, for better performances (but if you can live with the idea of
# some data loss consider the default persistence mode that's snapshotting),
# or on the contrary, use "always" that's very slow but a bit safer than
# everysec.
#
# More details please check the following article:
# http://antirez.com/post/redis-persistence-demystified.html
#
# If unsure, use "everysec".

# 設置對 appendonly.aof 文件進行同步的頻率,有三種選擇always、everysec、no，預設是everysec表示每秒同步一次。
# always 表示每次有寫操作都進行同步,everysec 表示對寫操作進行累積,每秒同步一次。
# no表示等操作系統進行數據緩存同步到磁碟，都進行同步,everysec 表示對寫操作進行累積,每秒同步一次
# appendfsync always
# appendfsync everysec
# appendfsync no

# When the AOF fsync policy is set to always or everysec, and a background
# saving process (a background save or AOF log background rewriting) is
# performing a lot of I/O against the disk, in some Linux configurations
# Redis may block too long on the fsync() call. Note that there is no fix for
# this currently, as even performing fsync in a different thread will block
# our synchronous write(2) call.
#
# In order to mitigate this problem it's possible to use the following option
# that will prevent fsync() from being called in the main process while a
# BGSAVE or BGREWRITEAOF is in progress.
#
# This means that while another child is saving, the durability of Redis is
# the same as "appendfsync none". In practical terms, this means that it is
# possible to lose up to 30 seconds of log in the worst scenario (with the
# default Linux settings).
#
# If you have latency problems turn this to "yes". Otherwise leave it as
# "no" that is the safest pick from the point of view of durability.
# 指定是否在後臺aof文件rewrite期間調用fsync，預設為no，表示要調用fsync（無論後臺是否有子進程在刷盤）。Redis在後臺寫RDB文件或重寫afo文件期間會存在大量磁碟IO，此時，在某些linux系統中，調用fsync可能會阻塞。
no-appendfsync-on-rewrite yes

# Automatic rewrite of the append only file.
# Redis is able to automatically rewrite the log file implicitly calling
# BGREWRITEAOF when the AOF log size grows by the specified percentage.
#
# This is how it works: Redis remembers the size of the AOF file after the
# latest rewrite (if no rewrite has happened since the restart, the size of
# the AOF at startup is used).
#
# This base size is compared to the current size. If the current size is
# bigger than the specified percentage, the rewrite is triggered. Also
# you need to specify a minimal size for the AOF file to be rewritten, this
# is useful to avoid rewriting the AOF file even if the percentage increase
# is reached but it is still pretty small.
#
# Specify a percentage of zero in order to disable the automatic AOF
# rewrite feature.
# 指定Redis重寫aof文件的條件，預設為100，表示與上次rewrite的aof文件大小相比，當前aof文件增長量超過上次afo文件大小的100%時，就會觸發background rewrite。若配置為0，則會禁用自動rewrite
auto-aof-rewrite-percentage 100

# 指定觸發rewrite的aof文件大小。若aof文件小於該值，即使當前文件的增量比例達到auto-aof-rewrite-percentage的配置值，也不會觸發自動rewrite。即這兩個配置項同時滿足時，才會觸發rewrite。
auto-aof-rewrite-min-size 64mb

# An AOF file may be found to be truncated at the end during the Redis
# startup process, when the AOF data gets loaded back into memory.
# This may happen when the system where Redis is running
# crashes, especially when an ext4 filesystem is mounted without the
# data=ordered option (however this can't happen when Redis itself
# crashes or aborts but the operating system still works correctly).
#
# Redis can either exit with an error when this happens, or load as much
# data as possible (the default now) and start if the AOF file is found
# to be truncated at the end. The following option controls this behavior.
#
# If aof-load-truncated is set to yes, a truncated AOF file is loaded and
# the Redis server starts emitting a log to inform the user of the event.
# Otherwise if the option is set to no, the server aborts with an error
# and refuses to start. When the option is set to no, the user requires
# to fix the AOF file using the "redis-check-aof" utility before to restart
# the server.
#
# Note that if the AOF file will be found to be corrupted in the middle
# the server will still exit with an error. This option only applies when
# Redis will try to read more data from the AOF file but not enough bytes
# will be found.
aof-load-truncated yes

################################ LUA SCRIPTING  ###############################

# Max execution time of a Lua script in milliseconds.
#
# If the maximum execution time is reached Redis will log that a script is
# still in execution after the maximum allowed time and will start to
# reply to queries with an error.
#
# When a long running script exceeds the maximum execution time only the
# SCRIPT KILL and SHUTDOWN NOSAVE commands are available. The first can be
# used to stop a script that did not yet called write commands. The second
# is the only way to shut down the server in the case a write command was
# already issued by the script but the user doesn't want to wait for the natural
# termination of the script.
#
# Set it to 0 or a negative value for unlimited execution without warnings.
# 一個Lua腳本最長的執行時間，單位為毫秒，如果為0或負數表示無限執行時間，預設為5000
lua-time-limit 5000

################################ REDIS CLUSTER  ###############################
#
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# WARNING EXPERIMENTAL: Redis Cluster is considered to be stable code, however
# in order to mark it as "mature" we need to wait for a non trivial percentage
# of users to deploy it in production.
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#
# Normal Redis instances can't be part of a Redis Cluster; only nodes that are
# started as cluster nodes can. In order to start a Redis instance as a
# cluster node enable the cluster support uncommenting the following:
#
# cluster-enabled yes

# Every cluster node has a cluster configuration file. This file is not
# intended to be edited by hand. It is created and updated by Redis nodes.
# Every Redis Cluster node requires a different cluster configuration file.
# Make sure that instances running in the same system do not have
# overlapping cluster configuration file names.
#
# cluster-config-file nodes-6379.conf

# Cluster node timeout is the amount of milliseconds a node must be unreachable
# for it to be considered in failure state.
# Most other internal time limits are multiple of the node timeout.
#
# cluster-node-timeout 15000

# A slave of a failing master will avoid to start a failover if its data
# looks too old.
#
# There is no simple way for a slave to actually have a exact measure of
# its "data age", so the following two checks are performed:
#
# 1) If there are multiple slaves able to failover, they exchange messages
#    in order to try to give an advantage to the slave with the best
#    replication offset (more data from the master processed).
#    Slaves will try to get their rank by offset, and apply to the start
#    of the failover a delay proportional to their rank.
#
# 2) Every single slave computes the time of the last interaction with
#    its master. This can be the last ping or command received (if the master
#    is still in the "connected" state), or the time that elapsed since the
#    disconnection with the master (if the replication link is currently down).
#    If the last interaction is too old, the slave will not try to failover
#    at all.
#
# The point "2" can be tuned by user. Specifically a slave will not perform
# the failover if, since the last interaction with the master, the time
# elapsed is greater than:
#
#   (node-timeout * slave-validity-factor) + repl-ping-slave-period
#
# So for example if node-timeout is 30 seconds, and the slave-validity-factor
# is 10, and assuming a default repl-ping-slave-period of 10 seconds, the
# slave will not try to failover if it was not able to talk with the master
# for longer than 310 seconds.
#
# A large slave-validity-factor may allow slaves with too old data to failover
# a master, while a too small value may prevent the cluster from being able to
# elect a slave at all.
#
# For maximum availability, it is possible to set the slave-validity-factor
# to a value of 0, which means, that slaves will always try to failover the
# master regardless of the last time they interacted with the master.
# (However they'll always try to apply a delay proportional to their
# offset rank).
#
# Zero is the only value able to guarantee that when all the partitions heal
# the cluster will always be able to continue.
#
# cluster-slave-validity-factor 10

# Cluster slaves are able to migrate to orphaned masters, that are masters
# that are left without working slaves. This improves the cluster ability
# to resist to failures as otherwise an orphaned master can't be failed over
# in case of failure if it has no working slaves.
#
# Slaves migrate to orphaned masters only if there are still at least a
# given number of other working slaves for their old master. This number
# is the "migration barrier". A migration barrier of 1 means that a slave
# will migrate only if there is at least 1 other working slave for its master
# and so forth. It usually reflects the number of slaves you want for every
# master in your cluster.
#
# Default is 1 (slaves migrate only if their masters remain with at least
# one slave). To disable migration just set it to a very large value.
# A value of 0 can be set but is useful only for debugging and dangerous
# in production.
#
# cluster-migration-barrier 1

# By default Redis Cluster nodes stop accepting queries if they detect there
# is at least an hash slot uncovered (no available node is serving it).
# This way if the cluster is partially down (for example a range of hash slots
# are no longer covered) all the cluster becomes, eventually, unavailable.
# It automatically returns available as soon as all the slots are covered again.
#
# However sometimes you want the subset of the cluster which is working,
# to continue to accept queries for the part of the key space that is still
# covered. In order to do so, just set the cluster-require-full-coverage
# option to no.
#
# cluster-require-full-coverage yes

# In order to setup your cluster make sure to read the documentation
# available at http://redis.io web site.

################################## SLOW LOG ###################################

# The Redis Slow Log is a system to log queries that exceeded a specified
# execution time. The execution time does not include the I/O operations
# like talking with the client, sending the reply and so forth,
# but just the time needed to actually execute the command (this is the only
# stage of command execution where the thread is blocked and can not serve
# other requests in the meantime).
#
# You can configure the slow log with two parameters: one tells Redis
# what is the execution time, in microseconds, to exceed in order for the
# command to get logged, and the other parameter is the length of the
# slow log. When a new command is logged the oldest one is removed from the
# queue of logged commands.

# The following time is expressed in microseconds, so 1000000 is equivalent
# to one second. Note that a negative number disables the slow log, while
# a value of zero forces the logging of every command.
slowlog-log-slower-than 10000

# There is no limit to this length. Just be aware that it will consume memory.
# You can reclaim memory used by the slow log with SLOWLOG RESET.
slowlog-max-len 128

################################ LATENCY MONITOR ##############################

# The Redis latency monitoring subsystem samples different operations
# at runtime in order to collect data related to possible sources of
# latency of a Redis instance.
#
# Via the LATENCY command this information is available to the user that can
# print graphs and obtain reports.
#
# The system only logs operations that were performed in a time equal or
# greater than the amount of milliseconds specified via the
# latency-monitor-threshold configuration directive. When its value is set
# to zero, the latency monitor is turned off.
#
# By default latency monitoring is disabled since it is mostly not needed
# if you don't have latency issues, and collecting data has a performance
# impact, that while very small, can be measured under big load. Latency
# monitoring can easily be enabled at runtime using the command
# "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
latency-monitor-threshold 0

############################# EVENT NOTIFICATION ##############################

# Redis can notify Pub/Sub clients about events happening in the key space.
# This feature is documented at http://redis.io/topics/notifications
#
# For instance if keyspace events notification is enabled, and a client
# performs a DEL operation on key "foo" stored in the Database 0, two
# messages will be published via Pub/Sub:
#
# PUBLISH __keyspace@0__:foo del
# PUBLISH __keyevent@0__:del foo
#
# It is possible to select the events that Redis will notify among a set
# of classes. Every class is identified by a single character:
#
#  K     Keyspace events, published with __keyspace@<db>__ prefix.
#  E     Keyevent events, published with __keyevent@<db>__ prefix.
#  g     Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
#  $     String commands
#  l     List commands
#  s     Set commands
#  h     Hash commands
#  z     Sorted set commands
#  x     Expired events (events generated every time a key expires)
#  e     Evicted events (events generated when a key is evicted for maxmemory)
#  A     Alias for g$lshzxe, so that the "AKE" string means all the events.
#
#  The "notify-keyspace-events" takes as argument a string that is composed
#  of zero or multiple characters. The empty string means that notifications
#  are disabled.
#
#  Example: to enable list and generic events, from the point of view of the
#           event name, use:
#
#  notify-keyspace-events Elg
#
#  Example 2: to get the stream of the expired keys subscribing to channel
#             name __keyevent@0__:expired use:
#
#  notify-keyspace-events Ex
#
#  By default all notifications are disabled because most users don't need
#  this feature and the feature has some overhead. Note that if you don't
#  specify at least one of K or E, no events will be delivered.
notify-keyspace-events ""

############################### ADVANCED CONFIG ###############################

# Hashes are encoded using a memory efficient data structure when they have a
# small number of entries, and the biggest entry does not exceed a given
# threshold. These thresholds can be configured using the following directives.
# 當hash中包含超過指定元素個數並且最大的元素沒有超過臨界時，
# hash將以一種特殊的編碼方式（大大減少記憶體使用）來存儲，這裡可以設置這兩個臨界值
hash-max-ziplist-entries 512
hash-max-ziplist-value 64

# Similarly to hashes, small lists are also encoded in a special way in order
# to save a lot of space. The special representation is only used when
# you are under the following limits:
# list數據類型多少節點以下會採用去指針的緊湊存儲格式。
# list數據類型節點值大小小於多少位元組會採用緊湊存儲格式。
list-max-ziplist-entries 512
list-max-ziplist-value 64

# Sets have a special encoding in just one case: when a set is composed
# of just strings that happen to be integers in radix 10 in the range
# of 64 bit signed integers.
# The following configuration setting sets the limit in the size of the
# set in order to use this special memory saving encoding.
# set數據類型內部數據如果全部是數值型，且包含多少節點以下會採用緊湊格式存儲。
set-max-intset-entries 512

# Similarly to hashes and lists, sorted sets are also specially encoded in
# order to save a lot of space. This encoding is only used when the length and
# elements of a sorted set are below the following limits:

# zsort數據類型多少節點以下會採用去指針的緊湊存儲格式。
# zsort數據類型節點值大小小於多少位元組會採用緊湊存儲格式。
zset-max-ziplist-entries 128
zset-max-ziplist-value 64

# HyperLogLog sparse representation bytes limit. The limit includes the
# 16 bytes header. When an HyperLogLog using the sparse representation crosses
# this limit, it is converted into the dense representation.
#
# A value greater than 16000 is totally useless, since at that point the
# dense representation is more memory efficient.
#
# The suggested value is ~ 3000 in order to have the benefits of
# the space efficient encoding without slowing down too much PFADD,
# which is O(N) with the sparse encoding. The value can be raised to
# ~ 10000 when CPU is not a concern, but space is, and the data set is
# composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
hll-sparse-max-bytes 3000

# Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
# order to help rehashing the main Redis hash table (the one mapping top-level
# keys to values). The hash table implementation Redis uses (see dict.c)
# performs a lazy rehashing: the more operation you run into a hash table
# that is rehashing, the more rehashing "steps" are performed, so if the
# server is idle the rehashing is never complete and some more memory is used
# by the hash table.
#
# The default is to use this millisecond 10 times every second in order to
# actively rehash the main dictionaries, freeing memory when possible.
#
# If unsure:
# use "activerehashing no" if you have hard latency requirements and it is
# not a good thing in your environment that Redis can reply from time to time
# to queries with 2 milliseconds delay.
#
# use "activerehashing yes" if you don't have such hard requirements but
# want to free memory asap when possible.

# Redis將在每100毫秒時使用1毫秒的CPU時間來對redis的hash表進行重新hash，可以降低記憶體的使用
# 當你的使用場景中，有非常嚴格的實時性需要，不能夠接受Redis時不時的對請求有2毫秒的延遲的話，把這項配置為no。
# 如果沒有這麼嚴格的實時性要求，可以設置為yes，以便能夠儘可能快的釋放記憶體
activerehashing yes

# The client output buffer limits can be used to force disconnection of clients
# that are not reading data from the server fast enough for some reason (a
# common reason is that a Pub/Sub client can't consume messages as fast as the
# publisher can produce them).
#
# The limit can be set differently for the three different classes of clients:
#
# normal -> normal clients including MONITOR clients
# slave  -> slave clients
# pubsub -> clients subscribed to at least one pubsub channel or pattern
#
# The syntax of every client-output-buffer-limit directive is the following:
#
# client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
#
# A client is immediately disconnected once the hard limit is reached, or if
# the soft limit is reached and remains reached for the specified number of
# seconds (continuously).
# So for instance if the hard limit is 32 megabytes and the soft limit is
# 16 megabytes / 10 seconds, the client will get disconnected immediately
# if the size of the output buffers reach 32 megabytes, but will also get
# disconnected if the client reaches 16 megabytes and continuously overcomes
# the limit for 10 seconds.
#
# By default normal clients are not limited because they don't receive data
# without asking (in a push way), but just after a request, so only
# asynchronous clients may create a scenario where data is requested faster
# than it can read.
#
# Instead there is a default limit for pubsub and slave clients, since
# subscribers and slaves receive data in a push fashion.
#
# Both the hard or the soft limit can be disabled by setting them to zero.
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60

# Redis calls an internal function to perform many background tasks, like
# closing connections of clients in timeout, purging expired keys that are
# never requested, and so forth.
#
# Not all tasks are performed with the same frequency, but Redis checks for
# tasks to perform according to the specified "hz" value.
#
# By default "hz" is set to 10. Raising the value will use more CPU when
# Redis is idle, but at the same time will make Redis more responsive when
# there are many keys expiring at the same time, and timeouts may be
# handled with more precision.
#
# The range is between 1 and 500, however a value over 100 is usually not
# a good idea. Most users should use the default of 10 and raise this up to
# 100 only in environments where very low latency is required.
hz 10

# When a child rewrites the AOF file, if the following option is enabled
# the file will be fsync-ed every 32 MB of data generated. This is useful
# in order to commit the file to the disk more incrementally and avoid
# big latency spikes.
# aof rewrite過程中,是否採取增量文件同步策略,預設為“yes”。 rewrite過程中,每32M數據進行一次文件同步,這樣可以減少aof大文件寫入對磁碟的操作次數
aof-rewrite-incremental-fsync yes


# redis數據存儲
redis的存儲分為記憶體存儲、磁碟存儲和log文件三部分，配置文件中有三個參數對其進行配置。
save seconds updates，save配置，指出在多長時間內，有多少次更新操作，就將數據同步到數據文件。可多個條件配合，預設配置了三個條件。
appendonly yes/no ，appendonly配置，指出是否在每次更新操作後進行日誌記錄，如果不開啟，可能會在斷電時導致一段時間內的數據丟失。因為redis本身同步數據文件是按上面的save條件來同步的，所以有的數據會在一段時間內只存在於記憶體中。
appendfsync no/always/everysec ，appendfsync配置，no表示等操作系統進行數據緩存同步到磁碟，always表示每次更新操作後手動調用fsync()將數據寫到磁碟，everysec表示每秒同步一次。

1.5 依次將redis安裝目錄下的sentinel.conf，拷貝到後3個目錄下cp /root/redis-5.0.2/sentinel.conf /usr/local/redis-sentinel/7505/sentinel-7505.conf

1.6 依次修改新拷貝的3個sentinel.conf文件內容

daemonize yes 
port 7505
#指定工作目錄
dir