阿里云服务器centos7,docker部署mysql+Redis+vue+springboot+Nginx+fastdfs,亲测可用

一.购买云服务器

　　我是今年双十一期间在阿里云购买的服务器, 简单配置2核_4G_40G_3M,三年用了不到800块,不过当时我记得腾讯云更便宜,个人感觉,阿里的云服务器更加的稳定, 毕竟身经百战, 经过了这么多次双十一的考验, 可是就在我昨天支付宝崩了,打脸.....自己玩的话建议同类型的服务器,买便宜的,因为买了后就是不小心忘了, 放到那里了,也不会心太痛.好了,我们现在就去服务器上耍耍.

二.安装docker

　　这是我的上一篇安装过程,亲测可用

　　https://www.cnblogs.com/djq-jone/p/11983045.html

　　安装简单, 主要是好用, 所以别忘了配置下镜像加速,添加一下阿里仓库

三.docker按装mysql

# 1.拉取镜像

docker pull mysql:5.7

# 2.配置 MySQL 在宿主机上的配置文件，数据目录以及初始化 sql 文件(使用 MySQL 容器需要注意字符集编码，数据备份以及第一次启动初始化 sql 问题)

　　准备工作

  1. 首先在宿主机上为此次配置创建相应的目录

  2. 输入命令 cd /usr/local/ -> 进入目录

  3. 输入命令 mkdir docker -> 创建文件夹

  4. 输入命令 cd docker/ -> 进入目录

  5. 轮流输入命令 mkdir mysql 、cd mysql、mkdir conf、mkdir data、mkdir sql

      -> 创建 mysql 目录以及 conf 、data 和 sql 目录

　　配置文件

1. 输入命令 cd /usr/local/docker/mysql/conf/ -> 进入目录

2. 输入命令 touch my.cnf -> 新建文件

3. 输入命令 vim my.cnf -> 编辑文件，粘贴下面内容

4. 轮流输入命令 esc -> shift + 冒号 -> wq -> 回车

[client]

default-character-set=utf8mb4

[mysqld]

character-set-client-handshake = FALSE

character-set-server = utf8mb4

collation-server = utf8mb4_general_ci

[mysql]

default-character-set=utf8mb4

# 3.初始化 sql 文件

1. 输入命令 cd /usr/local/docker/mysql/sql/ -> 进入目录

2. 输入命令 touch init.sql -> 新建文件

3. 输入命令 vim init.sql -> 编辑文件，粘贴下面内容

-- 创建数据库

DROP database IF EXISTS `base_db`;

CREATE DATABASE `base_db` default character set utf8mb4 collate utf8mb4_general_ci;

-- 切换数据库

USE base_db;

-- 创建表

DROP TABLE IF EXISTS `springboot_mybatis_plus` ;

CREATE TABLE `springboot_mybatis_plus` (

  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增ID',

  `type` varchar(2) DEFAULT NULL COMMENT '生活用品类别：1. 家电类 2. 厨具',

        `name` varchar(50) DEFAULT NULL COMMENT '生活用品名称',

        `description` varchar(200) DEFAULT NULL COMMENT '生活用品描述',

  PRIMARY KEY (`id`) USING BTREE

) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 ROW_FORMAT=COMPACT COMMENT='springboot整合mybatis-plus测试表';

INSERT INTO springboot_mybatis_plus ( type , name , description )

VALUES ('1','电饭煲','用来蒸饭'),('1','电热壶','用来烧水'),('1','空调','用来制冷或制热'),('2','菜刀','用来切菜'),('2','刨子','用来剥皮'),('2','打蛋器','用来搅拌鸡蛋');

# 4.运行 MySQL 容器

docker run -p 3306:3306 --name mysql-3306 -v /usr/local/docker/mysql/conf/my.cnf:/etc/mysql/conf.d/my.cnf -v /usr/local/docker/mysql/data/:/var/lib/mysql/ -v /usr/local/docker/mysql/sql/:/docker-entrypoint-initdb.d/ -v /etc/timezone:/etc/timezone -v /etc/localtime:/etc/localtime -e MYSQL_ROOT_PASSWORD=1234567 -d mysql:5.7

# 5.参数解释:

/**

1.-p:宿主机端口3306映射的容器的3306端口

2.--name:容器的别名

3.-v 挂载宿主机的内容到容器中

  3.1 my.conf 配置文件

  3.2 持久化数据挂载

  3.3 初始SQL挂载
  3.4 宿主机时间和容器时间同步挂载
4. -e 容器环境参数
  4.1 MYSQL_ROOT_PASSWORD=1234567 指定root用户密码
5.-d 后台启动  
*/

四.docker安装Redis

　　# 1. 查找Redis版本

docker search  redis

　　# 2.选择版本(我用的last版本)

docker pull redis:3.2

　　# 3.在宿主机创建Redis目录, 并编辑配置文件

内容去官网copy
https://redis.io/topics/config

# 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 ###################################

# 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.

#

# include /path/to/local.conf

# include /path/to/other.conf

################################## MODULES #####################################

# Load modules at startup. If the server is not able to load modules

# it will abort. It is possible to use multiple loadmodule directives.

#

# loadmodule /path/to/my_module.so

# loadmodule /path/to/other_module.so

################################## NETWORK #####################################

# By default, if no "bind" configuration directive is specified, Redis listens

# for connections from all the network interfaces available on the server.

# It is possible to listen to just one or multiple selected interfaces using

# the "bind" configuration directive, followed by one or more IP addresses.

#

# Examples:

#

# bind 192.168.1.100 10.0.0.1

# bind 127.0.0.1 ::1

#

# ~~~ WARNING ~~~ If the computer running Redis is directly exposed to the

# internet, binding to all the interfaces is dangerous and will expose the

# instance to everybody on the internet. So by default we uncomment the

# following bind directive, that will force Redis to listen only into

# the IPv4 loopback interface address (this means Redis will be able to

# accept connections only from clients running into the same computer it

# is running).

#

# IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES

# JUST COMMENT THE FOLLOWING LINE.

# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

bind 127.0.0.1

# Protected mode is a layer of security protection, in order to avoid that

# Redis instances left open on the internet are accessed and exploited.

#

# When protected mode is on and if:

#

# 1) The server is not binding explicitly to a set of addresses using the

#    "bind" directive.

# 2) No password is configured.

#

# The server only accepts connections from clients connecting from the

# IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain

# sockets.

#

# By default protected mode is enabled. You should disable it only if

# you are sure you want clients from other hosts to connect to Redis

# even if no authentication is configured, nor a specific set of interfaces

# are explicitly listed using the "bind" directive.

protected-mode yes

# Accept connections on the specified port, default is 6379 (IANA #815344).

# If port 0 is specified Redis will not listen on a TCP socket.

port 6379

# 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-backlog 511

# Unix socket.

#

# 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)

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 300 seconds, which is the new

# Redis default starting with Redis 3.2.1.

tcp-keepalive 300

################################# GENERAL #####################################

# 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.

daemonize no

# If you run Redis from upstart or systemd, Redis can interact with your

# supervision tree. Options:

#   supervised no      - no supervision interaction

#   supervised upstart - signal upstart by putting Redis into SIGSTOP mode

#   supervised systemd - signal systemd by writing READY=1 to $NOTIFY_SOCKET

#   supervised auto    - detect upstart or systemd method based on

#                        UPSTART_JOB or NOTIFY_SOCKET environment variables

# Note: these supervision methods only signal "process is ready."

#       They do not enable continuous liveness pings back to your supervisor.

supervised no

# If a pid file is specified, Redis writes it where specified at startup

# and removes it at exit.

#

# When the server runs non daemonized, no pid file is created if none is

# specified in the configuration. When the server is daemonized, the pid file

# is used even if not specified, defaulting to "/var/run/redis.pid".

#

# Creating a pid file is best effort: if Redis is not able to create it

# nothing bad happens, the server will start and run normally.

pidfile /var/run/redis_6379.pid

# 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)

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

logfile ""

# To enable logging to the system logger, just set 'syslog-enabled' to yes,

# and optionally update the other syslog parameters to suit your needs.

# syslog-enabled no

# Specify the syslog 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

databases 16

# By default Redis shows an ASCII art logo only when started to log to the

# standard output and if the standard output is a TTY. Basically this means

# that normally a logo is displayed only in interactive sessions.

#

# However it is possible to force the pre-4.0 behavior and always show a

# ASCII art logo in startup logs by setting the following option to yes.

always-show-logo yes

################################ SNAPSHOTTING  ################################

#

# 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 ""

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.

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.

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.

rdbchecksum yes

# The filename where to dump the DB

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.

dir ./

################################# REPLICATION #################################

# Master-Replica replication. Use replicaof to make a Redis instance a copy of

# another Redis server. A few things to understand ASAP about Redis replication.

#

#   +------------------+      +---------------+

#   |      Master      | ---> |    Replica    |

#   | (receive writes) |      |  (exact copy) |

#   +------------------+      +---------------+

#

# 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 replicas.

# 2) Redis replicas 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 replicas automatically try to reconnect to masters

#    and resynchronize with them.

#

# replicaof <masterip> <masterport>

# If the master is password protected (using the "requirepass" configuration

# directive below) it is possible to tell the replica to authenticate before

# starting the replication synchronization process, otherwise the master will

# refuse the replica request.

#

# masterauth <master-password>

# When a replica loses its connection with the master, or when the replication

# is still in progress, the replica can act in two different ways:

#

# 1) if replica-serve-stale-data is set to 'yes' (the default) the replica 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 replica-serve-stale-data is set to 'no' the replica will reply with

#    an error "SYNC with master in progress" to all the kind of commands

#    but to INFO, replicaOF, AUTH, PING, SHUTDOWN, REPLCONF, ROLE, CONFIG,

#    SUBSCRIBE, UNSUBSCRIBE, PSUBSCRIBE, PUNSUBSCRIBE, PUBLISH, PUBSUB,

#    COMMAND, POST, HOST: and LATENCY.

#

replica-serve-stale-data yes

# You can configure a replica instance to accept writes or not. Writing against

# a replica instance may be useful to store some ephemeral data (because data

# written on a replica 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 replicas are read-only.

#

# Note: read only replicas 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 replica 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 replicas using 'rename-command' to shadow all the

# administrative / dangerous commands.

replica-read-only yes

# Replication SYNC strategy: disk or socket.

#

# -------------------------------------------------------

# WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY

# -------------------------------------------------------

#

# New replicas and reconnecting replicas 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 replicas.

# 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 replicas incrementally.

# 2) Diskless: The Redis master creates a new process that directly writes the

#              RDB file to replica sockets, without touching the disk at all.

#

# With disk-backed replication, while the RDB file is generated, more replicas

# 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 replicas 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 replicas

# 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 replicas.

#

# This is important since once the transfer starts, it is not possible to serve

# new replicas arriving, that will be queued for the next RDB transfer, so the server

# waits a delay in order to let more replicas 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

# Replicas send PINGs to server in a predefined interval. It's possible to change

# this interval with the repl_ping_replica_period option. The default value is 10

# seconds.

#

# repl-ping-replica-period 10

# The following option sets the replication timeout for:

#

# 1) Bulk transfer I/O during SYNC, from the point of view of replica.

# 2) Master timeout from the point of view of replicas (data, pings).

# 3) Replica 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-replica-period otherwise a timeout will be detected

# every time there is low traffic between the master and the replica.

#

# repl-timeout 60

# Disable TCP_NODELAY on the replica socket after SYNC?

#

# If you select "yes" Redis will use a smaller number of TCP packets and

# less bandwidth to send data to replicas. But this can add a delay for

# the data to appear on the replica side, up to 40 milliseconds with

# Linux kernels using a default configuration.

#

# If you select "no" the delay for data to appear on the replica 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 replicas are many hops away, turning this to "yes" may

# be a good idea.

repl-disable-tcp-nodelay no

# Set the replication backlog size. The backlog is a buffer that accumulates

# replica data when replicas are disconnected for some time, so that when a replica

# wants to reconnect again, often a full resync is not needed, but a partial

# resync is enough, just passing the portion of data the replica missed while

# disconnected.

#

# The bigger the replication backlog, the longer the time the replica can be

# disconnected and later be able to perform a partial resynchronization.

#

# The backlog is only allocated once there is at least a replica connected.

#

# repl-backlog-size 1mb

# After a master has no longer connected replicas 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 replica disconnected, for

# the backlog buffer to be freed.

#

# Note that replicas never free the backlog for timeout, since they may be

# promoted to masters later, and should be able to correctly "partially

# resynchronize" with the replicas: hence they should always accumulate backlog.

#

# A value of 0 means to never release the backlog.

#

# repl-backlog-ttl 3600

# The replica priority is an integer number published by Redis in the INFO output.

# It is used by Redis Sentinel in order to select a replica to promote into a

# master if the master is no longer working correctly.

#

# A replica with a low priority number is considered better for promotion, so

# for instance if there are three replicas 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 replica as not able to perform the

# role of master, so a replica with priority of 0 will never be selected by

# Redis Sentinel for promotion.

#

# By default the priority is 100.

replica-priority 100

# It is possible for a master to stop accepting writes if there are less than

# N replicas connected, having a lag less or equal than M seconds.

#

# The N replicas 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 replica, 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 replicas

# are available, to the specified number of seconds.

#

# For example to require at least 3 replicas with a lag <= 10 seconds use:

#

# min-replicas-to-write 3

# min-replicas-max-lag 10

#

# Setting one or the other to 0 disables the feature.

#

# By default min-replicas-to-write is set to 0 (feature disabled) and

# min-replicas-max-lag is set to 10.

# A Redis master is able to list the address and port of the attached

# replicas in different ways. For example the "INFO replication" section

# offers this information, which is used, among other tools, by

# Redis Sentinel in order to discover replica instances.

# Another place where this info is available is in the output of the

# "ROLE" command of a master.

#

# The listed IP and address normally reported by a replica is obtained

# in the following way:

#

#   IP: The address is auto detected by checking the peer address

#   of the socket used by the replica to connect with the master.

#

#   Port: The port is communicated by the replica during the replication

#   handshake, and is normally the port that the replica is using to

#   listen for connections.

#

# However when port forwarding or Network Address Translation (NAT) is

# used, the replica may be actually reachable via different IP and port

# pairs. The following two options can be used by a replica in order to

# report to its master a specific set of IP and port, so that both INFO

# and ROLE will report those values.

#

# There is no need to use both the options if you need to override just

# the port or the IP address.

#

# replica-announce-ip 5.5.5.5

# replica-announce-port 1234

################################## SECURITY ###################################

# 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.

#

# requirepass foobared

# 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 replicas may cause problems.

################################### CLIENTS ####################################

# 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'.

#

# maxclients 10000

############################## MEMORY MANAGEMENT ################################

# Set a memory usage limit to 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 or LFU cache, or to

# set a hard memory limit for an instance (using the 'noeviction' policy).

#

# WARNING: If you have replicas attached to an instance with maxmemory on,

# the size of the output buffers needed to feed the replicas 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 replicas 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 replicas attached it is suggested that you set a lower

# limit for maxmemory so that there is some free RAM on the system for replica

# output buffers (but this is not needed if the policy is 'noeviction').

#

# maxmemory <bytes>

# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory

# is reached. You can select among five behaviors:

#

# volatile-lru -> Evict using approximated LRU among the keys with an expire set.

# allkeys-lru -> Evict any key using approximated LRU.

# volatile-lfu -> Evict using approximated LFU among the keys with an expire set.

# allkeys-lfu -> Evict any key using approximated LFU.

# volatile-random -> Remove a random key among the ones 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 evict anything, just return an error on write operations.

#

# LRU means Least Recently Used

# LFU means Least Frequently Used

#

# Both LRU, LFU and volatile-ttl are implemented using approximated

# randomized algorithms.

#

# 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, LFU 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 more CPU. 3 is faster but not very accurate.

#

# maxmemory-samples 5

# Starting from Redis 5, by default a replica will ignore its maxmemory setting

# (unless it is promoted to master after a failover or manually). It means

# that the eviction of keys will be just handled by the master, sending the

# DEL commands to the replica as keys evict in the master side.

#

# This behavior ensures that masters and replicas stay consistent, and is usually

# what you want, however if your replica is writable, or you want the replica to have

# a different memory setting, and you are sure all the writes performed to the

# replica are idempotent, then you may change this default (but be sure to understand

# what you are doing).

#

# Note that since the replica by default does not evict, it may end using more

# memory than the one set via maxmemory (there are certain buffers that may

# be larger on the replica, or data structures may sometimes take more memory and so

# forth). So make sure you monitor your replicas and make sure they have enough

# memory to never hit a real out-of-memory condition before the master hits

# the configured maxmemory setting.

#

# replica-ignore-maxmemory yes

############################# LAZY FREEING ####################################

# Redis has two primitives to delete keys. One is called DEL and is a blocking

# deletion of the object. It means that the server stops processing new commands

# in order to reclaim all the memory associated with an object in a synchronous

# way. If the key deleted is associated with a small object, the time needed

# in order to execute the DEL command is very small and comparable to most other

# O(1) or O(log_N) commands in Redis. However if the key is associated with an

# aggregated value containing millions of elements, the server can block for

# a long time (even seconds) in order to complete the operation.

#

# For the above reasons Redis also offers non blocking deletion primitives

# such as UNLINK (non blocking DEL) and the ASYNC option of FLUSHALL and

# FLUSHDB commands, in order to reclaim memory in background. Those commands

# are executed in constant time. Another thread will incrementally free the

# object in the background as fast as possible.

#

# DEL, UNLINK and ASYNC option of FLUSHALL and FLUSHDB are user-controlled.

# It's up to the design of the application to understand when it is a good

# idea to use one or the other. However the Redis server sometimes has to

# delete keys or flush the whole database as a side effect of other operations.

# Specifically Redis deletes objects independently of a user call in the

# following scenarios:

#

# 1) On eviction, because of the maxmemory and maxmemory policy configurations,

#    in order to make room for new data, without going over the specified

#    memory limit.

# 2) Because of expire: when a key with an associated time to live (see the

#    EXPIRE command) must be deleted from memory.

# 3) Because of a side effect of a command that stores data on a key that may

#    already exist. For example the RENAME command may delete the old key

#    content when it is replaced with another one. Similarly SUNIONSTORE

#    or SORT with STORE option may delete existing keys. The SET command

#    itself removes any old content of the specified key in order to replace

#    it with the specified string.

# 4) During replication, when a replica performs a full resynchronization with

#    its master, the content of the whole database is removed in order to

#    load the RDB file just transferred.

#

# In all the above cases the default is to delete objects in a blocking way,

# like if DEL was called. However you can configure each case specifically

# in order to instead release memory in a non-blocking way like if UNLINK

# was called, using the following configuration directives:

lazyfree-lazy-eviction no

lazyfree-lazy-expire no

lazyfree-lazy-server-del no

replica-lazy-flush no

############################## 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.

appendonly no

# The name of the append only file (default: "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".

# 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.

no-appendfsync-on-rewrite no

# 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.

auto-aof-rewrite-percentage 100

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

# When rewriting the AOF file, Redis is able to use an RDB preamble in the

# AOF file for faster rewrites and recoveries. When this option is turned

# on the rewritten AOF file is composed of two different stanzas:

#

#   [RDB file][AOF tail]

#

# When loading Redis recognizes that the AOF file starts with the "REDIS"

# string and loads the prefixed RDB file, and continues loading the AOF

# tail.

aof-use-rdb-preamble 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.

lua-time-limit 5000

################################ REDIS CLUSTER  ###############################

# 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 replica of a failing master will avoid to start a failover if its data

# looks too old.

#

# There is no simple way for a replica to actually have an exact measure of

# its "data age", so the following two checks are performed:

#

# 1) If there are multiple replicas able to failover, they exchange messages

#    in order to try to give an advantage to the replica with the best

#    replication offset (more data from the master processed).

#    Replicas 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 replica 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 replica will not try to failover

#    at all.

#

# The point "2" can be tuned by user. Specifically a replica will not perform

# the failover if, since the last interaction with the master, the time

# elapsed is greater than:

#

#   (node-timeout * replica-validity-factor) + repl-ping-replica-period

#

# So for example if node-timeout is 30 seconds, and the replica-validity-factor

# is 10, and assuming a default repl-ping-replica-period of 10 seconds, the

# replica will not try to failover if it was not able to talk with the master

# for longer than 310 seconds.

#

# A large replica-validity-factor may allow replicas with too old data to failover

# a master, while a too small value may prevent the cluster from being able to

# elect a replica at all.

#

# For maximum availability, it is possible to set the replica-validity-factor

# to a value of 0, which means, that replicas 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-replica-validity-factor 10

# Cluster replicas are able to migrate to orphaned masters, that are masters

# that are left without working replicas. 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 replicas.

#

# Replicas migrate to orphaned masters only if there are still at least a

# given number of other working replicas for their old master. This number

# is the "migration barrier". A migration barrier of 1 means that a replica

# will migrate only if there is at least 1 other working replica for its master

# and so forth. It usually reflects the number of replicas you want for every

# master in your cluster.

#

# Default is 1 (replicas migrate only if their masters remain with at least

# one replica). 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

# This option, when set to yes, prevents replicas from trying to failover its

# master during master failures. However the master can still perform a

# manual failover, if forced to do so.

#

# This is useful in different scenarios, especially in the case of multiple

# data center operations, where we want one side to never be promoted if not

# in the case of a total DC failure.

#

# cluster-replica-no-failover no

# In order to setup your cluster make sure to read the documentation

# available at http://redis.io web site.

########################## CLUSTER DOCKER/NAT support  ########################

# In certain deployments, Redis Cluster nodes address discovery fails, because

# addresses are NAT-ted or because ports are forwarded (the typical case is

# Docker and other containers).

#

# In order to make Redis Cluster working in such environments, a static

# configuration where each node knows its public address is needed. The

# following two options are used for this scope, and are:

#

# * cluster-announce-ip

# * cluster-announce-port

# * cluster-announce-bus-port

#

# Each instruct the node about its address, client port, and cluster message

# bus port. The information is then published in the header of the bus packets

# so that other nodes will be able to correctly map the address of the node

# publishing the information.

#

# If the above options are not used, the normal Redis Cluster auto-detection

# will be used instead.

#

# Note that when remapped, the bus port may not be at the fixed offset of

# clients port + 10000, so you can specify any port and bus-port depending

# on how they get remapped. If the bus-port is not set, a fixed offset of

# 10000 will be used as usually.

#

# Example:

#

# cluster-announce-ip 10.1.1.5

# cluster-announce-port 6379

# cluster-announce-bus-port 6380

################################## 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.

hash-max-ziplist-entries 512

hash-max-ziplist-value 64

# Lists are also encoded in a special way to save a lot of space.

# The number of entries allowed per internal list node can be specified

# as a fixed maximum size or a maximum number of elements.

# For a fixed maximum size, use -5 through -1, meaning:

# -5: max size: 64 Kb  <-- not recommended for normal workloads

# -4: max size: 32 Kb  <-- not recommended

# -3: max size: 16 Kb  <-- probably not recommended

# -2: max size: 8 Kb   <-- good

# -1: max size: 4 Kb   <-- good

# Positive numbers mean store up to _exactly_ that number of elements

# per list node.

# The highest performing option is usually -2 (8 Kb size) or -1 (4 Kb size),

# but if your use case is unique, adjust the settings as necessary.

list-max-ziplist-size -2

# Lists may also be compressed.

# Compress depth is the number of quicklist ziplist nodes from *each* side of

# the list to *exclude* from compression.  The head and tail of the list

# are always uncompressed for fast push/pop operations.  Settings are:

# 0: disable all list compression

# 1: depth 1 means "don't start compressing until after 1 node into the list,

#    going from either the head or tail"

#    So: [head]->node->node->...->node->[tail]

#    [head], [tail] will always be uncompressed; inner nodes will compress.

# 2: [head]->[next]->node->node->...->node->[prev]->[tail]

#    2 here means: don't compress head or head->next or tail->prev or tail,

#    but compress all nodes between them.

# 3: [head]->[next]->[next]->node->node->...->node->[prev]->[prev]->[tail]

# etc.

list-compress-depth 0

# 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-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:

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

# Streams macro node max size / items. The stream data structure is a radix

# tree of big nodes that encode multiple items inside. Using this configuration

# it is possible to configure how big a single node can be in bytes, and the

# maximum number of items it may contain before switching to a new node when

# appending new stream entries. If any of the following settings are set to

# zero, the limit is ignored, so for instance it is possible to set just a

# max entires limit by setting max-bytes to 0 and max-entries to the desired

# value.

stream-node-max-bytes 4096

stream-node-max-entries 100

# 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.

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

# replica  -> replica 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 replica clients, since

# subscribers and replicas 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 replica 256mb 64mb 60

client-output-buffer-limit pubsub 32mb 8mb 60

# Client query buffers accumulate new commands. They are limited to a fixed

# amount by default in order to avoid that a protocol desynchronization (for

# instance due to a bug in the client) will lead to unbound memory usage in

# the query buffer. However you can configure it here if you have very special

# needs, such us huge multi/exec requests or alike.

#

# client-query-buffer-limit 1gb

# In the Redis protocol, bulk requests, that are, elements representing single

# strings, are normally limited ot 512 mb. However you can change this limit

# here.

#

# proto-max-bulk-len 512mb

# 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

# Normally it is useful to have an HZ value which is proportional to the

# number of clients connected. This is useful in order, for instance, to

# avoid too many clients are processed for each background task invocation

# in order to avoid latency spikes.

#

# Since the default HZ value by default is conservatively set to 10, Redis

# offers, and enables by default, the ability to use an adaptive HZ value

# which will temporary raise when there are many connected clients.

#

# When dynamic HZ is enabled, the actual configured HZ will be used as

# as a baseline, but multiples of the configured HZ value will be actually

# used as needed once more clients are connected. In this way an idle

# instance will use very little CPU time while a busy instance will be

# more responsive.

dynamic-hz yes

# 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-incremental-fsync yes

# When redis saves RDB 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.

rdb-save-incremental-fsync yes

# Redis LFU eviction (see maxmemory setting) can be tuned. However it is a good

# idea to start with the default settings and only change them after investigating

# how to improve the performances and how the keys LFU change over time, which

# is possible to inspect via the OBJECT FREQ command.

#

# There are two tunable parameters in the Redis LFU implementation: the

# counter logarithm factor and the counter decay time. It is important to

# understand what the two parameters mean before changing them.

#

# The LFU counter is just 8 bits per key, it's maximum value is 255, so Redis

# uses a probabilistic increment with logarithmic behavior. Given the value

# of the old counter, when a key is accessed, the counter is incremented in

# this way:

#

# 1. A random number R between 0 and 1 is extracted.

# 2. A probability P is calculated as 1/(old_value*lfu_log_factor+1).

# 3. The counter is incremented only if R < P.

#

# The default lfu-log-factor is 10. This is a table of how the frequency

# counter changes with a different number of accesses with different

# logarithmic factors:

#

# +--------+------------+------------+------------+------------+------------+

# | factor | 100 hits   | 1000 hits  | 100K hits  | 1M hits    | 10M hits   |

# +--------+------------+------------+------------+------------+------------+

# | 0      | 104        | 255        | 255        | 255        | 255        |

# +--------+------------+------------+------------+------------+------------+

# | 1      | 18         | 49         | 255        | 255        | 255        |

# +--------+------------+------------+------------+------------+------------+

# | 10     | 10         | 18         | 142        | 255        | 255        |

# +--------+------------+------------+------------+------------+------------+

# | 100    | 8          | 11         | 49         | 143        | 255        |

# +--------+------------+------------+------------+------------+------------+

#

# NOTE: The above table was obtained by running the following commands:

#

#   redis-benchmark -n 1000000 incr foo

#   redis-cli object freq foo

#

# NOTE 2: The counter initial value is 5 in order to give new objects a chance

# to accumulate hits.

#

# The counter decay time is the time, in minutes, that must elapse in order

# for the key counter to be divided by two (or decremented if it has a value

# less <= 10).

#

# The default value for the lfu-decay-time is 1. A Special value of 0 means to

# decay the counter every time it happens to be scanned.

#

# lfu-log-factor 10

# lfu-decay-time 1

########################### ACTIVE DEFRAGMENTATION #######################

#

# WARNING THIS FEATURE IS EXPERIMENTAL. However it was stress tested

# even in production and manually tested by multiple engineers for some

# time.

#

# What is active defragmentation?

# -------------------------------

#

# Active (online) defragmentation allows a Redis server to compact the

# spaces left between small allocations and deallocations of data in memory,

# thus allowing to reclaim back memory.

#

# Fragmentation is a natural process that happens with every allocator (but

# less so with Jemalloc, fortunately) and certain workloads. Normally a server

# restart is needed in order to lower the fragmentation, or at least to flush

# away all the data and create it again. However thanks to this feature

# implemented by Oran Agra for Redis 4.0 this process can happen at runtime

# in an "hot" way, while the server is running.

#

# Basically when the fragmentation is over a certain level (see the

# configuration options below) Redis will start to create new copies of the

# values in contiguous memory regions by exploiting certain specific Jemalloc

# features (in order to understand if an allocation is causing fragmentation

# and to allocate it in a better place), and at the same time, will release the

# old copies of the data. This process, repeated incrementally for all the keys

# will cause the fragmentation to drop back to normal values.

#

# Important things to understand:

#

# 1. This feature is disabled by default, and only works if you compiled Redis

#    to use the copy of Jemalloc we ship with the source code of Redis.

#    This is the default with Linux builds.

#

# 2. You never need to enable this feature if you don't have fragmentation

#    issues.

#

# 3. Once you experience fragmentation, you can enable this feature when

#    needed with the command "CONFIG SET activedefrag yes".

#

# The configuration parameters are able to fine tune the behavior of the

# defragmentation process. If you are not sure about what they mean it is

# a good idea to leave the defaults untouched.

# 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

　　# 4.在conf文件中将此段注释

//bind 127.0.0.1

# 5.如果需要远程连接，则需要将protected-mode变成no（保护模式下非本地连接不能访问）

protected-mode no

　　# 6.启动Redis容器

docker run -p 6379:6379 --name myredis -v /root/myredis/redis.conf/redis.conf:/etc/redis/redis.conf -v /root/myredis/data:/data -d redis redis-server /etc/redis/redis.conf --appendonly yes --requirepass "123456789"

　　#参数解释

/**

1.启用Redis-server 使用redis.conf文件

2.-v /root/myredis/redis.conf/redis.conf:/etc/redis/redis.conf将conf文

   件里内容映射到redis镜像文件里，如果不生效可直接设置在镜像文件中

3.-v /root/myredis/data:/data redis存储数据

4.-d redis redis-server /etc/redis/redis.conf redis服务使用的conf文件地址引用

5.--appendonly yes后台运行模式 是

6.--requirepass "123456789" 手动设置密码

*/

六.docker部署fastdfs

　　# 1.官网普通方法部署(参考)

 https://github.com/happyfish100/fastdfs/wiki

　　# 2.使用docker部署编排fastdfs容器传送门

https://www.jianshu.com/p/1038b4d95912

　　# 3.环境配置文件

链接：https://pan.baidu.com/s/12B3-mdI_LVhXUztI8Z3_Cw

提取码：nasp

复制这段内容后打开百度网盘手机App，操作更方便哦

　　# 4.跟着视频撸起来吧,我也是跟这个大神跑的服务

https://www.bilibili.com/video/av35251669/

　　# 5.注意

　　　　使用的是host模式网络, 和宿主机公用网络

ps: 宿主机上的日志,和存储信息目录 /usr/local/docker/fastdfs/storage

七.docker部署vue项目

　　# 1.项目构建

npm run build

　　# 2.将dist文件夹上传到服务器路径

/usr/local/docker/myvue

　　# 3.vim Dockerfile 文件

FROM nginx

# 定义作者

MAINTAINER dudu

# 将dist文件中的内容复制到 /usr/share/nginx/html/ 这个目录下面

COPY dist/  /usr/share/nginx/html/

没有对Nginx中的配置文件进行修改

默认容器中的配置已经满足(容器中的配置文件)

server {

    listen       80;

    server_name  localhost;

    #charset koi8-r;

    #access_log  /var/log/nginx/host.access.log  main;

    location / {

        root   /usr/share/nginx/html;

        index  index.html index.htm;

    }

    #error_page  404              /404.html;

    # redirect server error pages to the static page /50x.html

    #

    error_page   500 502 503 504  /50x.html;

    location = /50x.html {

        root   /usr/share/nginx/html;

    }

    # proxy the PHP scripts to Apache listening on 127.0.0.1:80

    #

    #location ~ \.php$ {

    #    proxy_pass   http://127.0.0.1;

    #}

    # pass the PHP scripts to FastCGI server listening on 127.0.0.1:9000

    #

    #location ~ \.php$ {

    #    root           html;

    #    fastcgi_pass   127.0.0.1:9000;

    #    fastcgi_index  index.php;

    #    fastcgi_param  SCRIPT_FILENAME  /scripts$fastcgi_script_name;

    #    include        fastcgi_params;

    #}

    # deny access to .htaccess files, if Apache's document root

    # concurs with nginx's one

    #

    #location ~ /\.ht {

    #    deny  all;

    #}

}

　　# 4.创建镜像

docker build -t xxx .

　　# 5.检查镜像, 并启动容器

docker run -d --name xx -p 7788:80 xxx

　　# 6.参数解释

-d：代表后台启动

--name xx：这是创建的容器名称

-p 7788:80: 是将nginx的80映射到你服务器的7788端口(注意你服务器的端口是否开放7788，其他端口也可以)

xxx：是刚刚创建的镜像名称

　　#7. vue的history模式部署

Nginx添加配置
location / {

  root   /usr/share/nginx/html;

  index  index.html index.htm;

  try_files $uri $uri/ /index.html;

}

# 启动时将配置文件挂载出来

docker run -d --name xxx -v /usr/local/docker/myvue/conf.d:/etc/nginx/conf.d -p 7788:80 xx

八.docker部署自己的springboot项目

　　# 1.创建目录

/usr/local/docker/myapp

　　# 2.maven打包项目,并且传到上面目录中

mvn clean install -Dmaven.test.skip=true -Dmaven.javadoc.skip=true

　　# 3.vim Dockerfile

FROM java:8

VOLUME /tmp

ADD xxxx-web.jar app.jar

RUN bash -c 'touch /app.jar'

ENTRYPOINT ["java","-Djava.security.egd=file:/dev/./urandom","-jar","/app.jar"]

　　# 3.1参数解释

 xxxx-web.jar:项目jar包,
 app.jar:项目别名

　　# 4.查看镜像是否创建成功

docker images

　　# 5.启动容器

docker run -d -p 8080:8080 --name xxx -v /home/xxx/logs:/home/xxx/logs -v /etc/timezone:/etc/timezone -v /etc/localtime:/etc/localtime --link mysql-3306:mysql-3306 --link myredis:myredis [imageName] --spring.profiles.active=pro

参数解释:

/**

*1. 将容器中的log文件挂载出来

*2.同步宿主机容器的时间

*3.--link 链接在同个网络中的容器

*4.在springboot项目中, 将mysql和,Redis的链接中的host地址改为别名

*5.--link <name or id>:alias

*6.--spring.profiles.active=pro,启动参数使用生成环境的配置

*

*/

　　# 6.查看容器日志

docker logs -f -t --since="2018-02-08" --tail=100 CONTAINER_ID

docker logs --follow containerId    --实时查看容器日志

九.docker部署Nginx

　　# 1.拉取Nginx

docker pull nginx

　　# 2.子配置文件(静动分离)

upstream xxx{

      server 172.18.14.184:8080;

}

server {

    listen       80;

    server_name  172.18.14.184;

  # default_type application/json;

location / {

       #proxy_set_header Host  $host; #出现400 的罪魁祸首

       proxy_set_header X-Real-IP $remote_addr;

       proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;

       proxy_set_header X-Forwarded-Proto $scheme;

       proxy_pass http://xxx;

       #root   /usr/share/nginx/html;

       #index  index.html index.htm;

}

#动静分离配置,需要将静态文件启动时挂载到对应的目录

   location ~ .*\.(docs|fonts|file|img|ajax|excel|aihuaiedu|js|css|ico|png|jpg|eot|svg|ttf|woff)$ {

     root /usr/local/lib;

     expires 3d; #缓存3天

   }

   # error_page   500 502 503 504  /50x.html;

   # location = /50x.html {

   #     root   /usr/share/nginx/html;

   # }

}

　　# 3.主配置文件

user  nginx;

worker_processes  1;

error_log  /var/log/nginx/error.log warn;

pid        /var/run/nginx.pid;

events {

    worker_connections  1024;

}

http {

    include       /etc/nginx/mime.types;

    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '

                      '$status $body_bytes_sent "$http_referer" '

                      '"$http_user_agent" "$http_x_forwarded_for"';

    access_log  /var/log/nginx/access.log  main;

    sendfile        on;

    #tcp_nopush     on;

    client_body_timeout     30;

    client_header_timeout   30;

    send_timeout            30;

    client_max_body_size    100M;

    client_header_buffer_size 32k;

    client_body_buffer_size 1024k;

    large_client_header_buffers 8 256k;

    reset_timedout_connection   on;

    open_file_cache max=65535 inactive=20s;

    open_file_cache_valid 30s;

    open_file_cache_min_uses 1;

    proxy_buffer_size 128k;

    proxy_buffers 8 128k;

    proxy_busy_buffers_size 256k;

    proxy_temp_file_write_size 256k;

    proxy_temp_path /dev/shm/proxy_temp;

    keepalive_timeout  65;

    #gzip  on;

    include /etc/nginx/conf.d/*.conf;

}

　　# 4.启动Nginx

docker run --name nginx-proxy -p 80:80 -v /home/docker-nginx/static:/usr/local/lib -v /home/docker-nginx/nginx.conf:/etc/nginx/nginx.conf -v /home/docker-nginx/log:/var/log/nginx -v /home/docker-nginx/conf.d/default.conf:/etc/nginx/conf.d/default.conf -v /etc/timezone:/etc/timezone -v /etc/localtime:/etc/localtime -d nginx

　　参数解释:

　　(1).-v /home/docker-nginx/static:/usr/local/lib, 将项目静态资源挂载到容器的lib文件夹下

　　(2).剩下就是配置文件,日志文件,时间的挂载和同步

ps:这里的Nginx主要是用来做了个静动分离, 因为我们的项目是聚合项目,为了减少不必要的请求.

-- 单纯的docker部署Nginx局限性很大, 一般都是将Nginx直接打包到容器中使用, 这里就犯懒了

　　# 5.动静分离

现在使用的静动分离, 如果代码有改变我都要将静态文件重新上传服务器, 然后用docker run 命令重新启动,将静态文件挂载到容器中,这个是要注意的...

十.添加将官网添加到Nginx镜像中,重新启动Nginx镜像

　　#1.添加Nginx配置

阿里云服务器centos7,docker部署mysql+Redis+vue+springboot+Nginx+fastdfs,亲测可用

　　#2.重启Nginx容器,同时将官网挂载进镜像中

docker run --name nginx-proxy -p 80:80 -v /home/docker-nginx/yunzhangfang-官网:/usr/share/nginx/html -v /home/docker-nginx/static:/usr/local/lib -v /home/docker-nginx/nginx.conf:/etc/nginx/nginx.conf -v /home/docker-nginx/log:/var/log/nginx -v /home/docker-nginx/conf.d/default.conf:/etc/nginx/conf.d/default.conf -v /etc/timezone:/etc/timezone -v /etc/localtime:/etc/localtime -d nginx

------------------------------------------------------------------------------------------------------------------

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阿里云服务器centos7,docker部署mysql+Redis+vue+springboot+Nginx+fastdfs,亲测可用

一.购买云服务器

二.安装docker

三.docker按装mysql

# 1.拉取镜像

# 2.配置 MySQL 在宿主机上的配置文件，数据目录以及初始化 sql 文件(使用 MySQL 容器需要注意字符集编码，数据备份以及第一次启动初始化 sql 问题)

准备工作

配置文件

# 3.初始化 sql 文件

# 4.运行 MySQL 容器

# 5.参数解释:

四.docker安装Redis

# 1. 查找Redis版本

# 2.选择版本(我用的last版本)

# 3.在宿主机创建Redis目录, 并编辑配置文件

# 4.在conf文件中将 此段注释

# 5.如果需要远程连接，则需要将protected-mode变成no（保护模式下非本地连接不能访问）

# 6.启动Redis容器

六.docker部署fastdfs

# 1.官网普通方法部署(参考)

# 2.使用docker部署编排fastdfs容器传送门

# 3.环境配置文件

# 4.跟着视频撸起来吧,我也是跟这个大神跑的服务

# 5.注意

七.docker部署vue项目

# 1.项目构建

# 2.将dist文件夹上传到服务器路径

# 3.vim Dockerfile 文件

# 4.创建镜像

# 5.检查镜像, 并启动容器

# 6.参数解释

#7. vue的history模式部署

八.docker部署自己的springboot项目

# 1.创建目录

# 2.maven打包项目,并且传到上面目录中

# 3.vim Dockerfile

# 3.1参数解释

# 4.查看镜像是否创建成功

# 5.启动容器

# 6.查看容器日志

九.docker部署Nginx

# 1.拉取Nginx

# 2.子配置文件(静动分离)

# 3.主配置文件

# 4.启动Nginx

# 5.动静分离

十.添加将官网添加到Nginx镜像中,重新启动Nginx镜像

#1.添加Nginx配置

#2.重启Nginx容器,同时将官网挂载进镜像中

　　准备工作

　　配置文件

　　# 1. 查找Redis版本

　　# 2.选择版本(我用的last版本)

　　# 3.在宿主机创建Redis目录, 并编辑配置文件

　　# 4.在conf文件中将此段注释

　　# 6.启动Redis容器

　　# 1.官网普通方法部署(参考)

　　# 2.使用docker部署编排fastdfs容器传送门

　　# 3.环境配置文件

　　# 4.跟着视频撸起来吧,我也是跟这个大神跑的服务

　　# 5.注意

　　# 1.项目构建

　　# 2.将dist文件夹上传到服务器路径

　　# 3.vim Dockerfile 文件

　　# 4.创建镜像

　　# 5.检查镜像, 并启动容器

　　# 6.参数解释

　　#7. vue的history模式部署

　　# 1.创建目录

　　# 2.maven打包项目,并且传到上面目录中

　　# 3.vim Dockerfile

　　# 3.1参数解释

　　# 4.查看镜像是否创建成功

　　# 5.启动容器

　　# 6.查看容器日志

　　# 1.拉取Nginx

　　# 2.子配置文件(静动分离)

　　# 3.主配置文件

　　# 4.启动Nginx

　　# 5.动静分离

　　#1.添加Nginx配置

　　#2.重启Nginx容器,同时将官网挂载进镜像中