项目部署(docker)

1.ElasticSearch

安装本体

mkdir -p /opt/docker/es/plugins #创建插件文件
docker pull elasticsearch:7.17.7 #拉取镜像

docker run --name elasticsearch -p 9200:9200 -p 9300:9300  -v /opt/docker/es/plugins:/usr/share/elasticsearch/plugins -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms512m -Xmx512m -Duser.timezone=GMT+08" -d elasticsearch:7.17.7

测试一下,可以看到开启成功

安装ik插件

下载ik插件到/opt/docker/es//plugins下 注意文件名需要为ik

然后解压 unzip ik.zip

docker exec -it elasticsearch bash进入到容器内部

可以看到挂载成功

这个插件没有7.17.7的版本,所以使用7.17.6

在plugin-descriptor.properties进行修改

modify elasticsearch.version=7.17.6 to elasticsearch.version=7.17.7

重启容器docker restart elasticsearch 成功

2.Zookeeper

1. 下载镜像docker pull wurstmeister/zookeeper
2. 启动容器 docker run -d --name zookeeper -p 2181:2181 -v /etc/localtime:/etc/localtime wurstmeister/zookeeper
   • -v /etc/localtime:/etc/localtime :让容器使用和服务器同样的时间设置

3.Kafka

1. 下载镜像 docker pull wurstmeister/kafka

2. 启动容器

   docker run -d --name kafka -p 9092:9092 \
   -e KAFKA_BROKER_ID=0 \
   -e KAFKA_ZOOKEEPER_CONNECT=192.168.222.128:2181 \
   -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.222.128:9092 \
   -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092 \
   -v /etc/localtime:/etc/localtime \
   wurstmeister/kafka
   
   
   # 解释
   -e KAFKA_BROKER_ID=0  在kafka集群中，每个kafka都有一个BROKER_ID来区分自己
   -e KAFKA_ZOOKEEPER_CONNECT=192.168.222.128:2181    配置zookeeper管理kafka的路径
   -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.222.128:9092  把kafka的地址端口注册给zookeeper
   -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092  配置kafka的监听端口
   -v /etc/localtime:/etc/localtime 让容器使用和服务器同样的时间设置
   

测试是否启动成功

创建主题topic

#进入容器
docker exec -it kafka /bin/bash
#进入到bin目录
cd /opt/kafka/bin/
#创建一个topic（单机方式）
./kafka-topics.sh --create --zookeeper 192.168.222.128:2181 --replication-factor 1 --partitions 1 --topic mykafka

创建生产者消费者

#生产者
./kafka-console-producer.sh --broker-list localhost:9092 --topic mykafka
#消费者
./kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic mykafka --from-beginning

4.MySQL

启动mysql

mkdir /opt/docker/mysql/conf
mkdir /opt/docker/mysql/data

docker run \
--name mysql \
-e MYSQL_ROOT_PASSWORD=qiuyu \
-p 3306:3306 \
-v /opt/docker/mysql/conf/hmy.cnf:/etc/mysql/conf.d/hmy.cnf \
-v /opt/docker/mysql/data:/var/lib/mysql \
-d \
mysql:5.7.25 --lower-case-table-names=1

测试

进入mysqldocker exec -it mysql bash

mysql -uroot -p

载入数据

1. 把sql文件放入data文件
2. 进入mysql容器,到达data目录下 cd /var/lib/mysql
3. 导入数据库

mysql> create database community;     	# 创建数据库
mysql> use community;                  	# 使用已创建的数据库 
mysql> set names utf8;           		# 设置编码
mysql> source community.sql  		# 导入备份数据库

也可以在本机使用navicat连接linux的mysql然后导入

5.Redis

1. 下载镜像 docker pull redis

2. 配置

   mkdir -p /opt/docker/redis/conf
   mkdir -p /opt/docker/redis/data
   cd /opt/docker/redis/conf
   vi redis.conf
   

   写入配置

   # 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 no
   # 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 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 
   #
   #   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 
   # 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 
   # 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 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 
   #
   # 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 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 
   # 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 yes
   # 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 " 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@__ prefix.
   #  E     Keyevent events, published with __keyevent@__ 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  
   # -4: max size: 32 Kb  
   # -3: max size: 16 Kb  
   # -2: max size: 8 Kb   
   # -1: max size: 4 Kb   
   # 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 
   #
   # 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 
   #
   # 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 
   #
   # 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
   

3. 运行容器

   docker run -itd --name redis \
   --restart=always \
   --log-opt max-size=100m --log-opt max-file=2 \
   -p 6379:6379 \
   -v /opt/docker/redis/conf/redis.conf:/etc/redis/redis.conf \
   -v /opt/docker/redis/data:/data \
   redis redis-server /etc/redis/redis.conf --appendonly yes 
   
   docker run -p 6379:6379 --name redis --privileged=true \
   -v /opt/docker/redis/conf/redis.conf:/etc/redis/redis.conf \
   -v /opt/docker/redis/data:/data \
   -d redis redis-server /etc/redis/redis.conf --appendonly yes
   
   
   
   【 --restart=always】 开机启动，失败也会一直重启；
   【–log-opt max-size=100m】意味着一个容器日志大小上限是100M;
   【–log-opt max-file=2】意味着一个容器有2个日志，分别是id+.json、id+1.json;
   【-p 6379:6379】 将宿主机6379端口与容器内6379端口进行映射；
   【-v】 将宿主机目录或文件与容器内目录或文件进行挂载映射；
   【-itd】
   i：以交互模式运行容器，通常与 -t 同时使用；
   t：为容器重新分配一个伪输入终端，通常与 -i 同时使用；
   d：表示后台启动redis；
   【–name】 给容器命名；
   【–appendonly yes】 开启redis 持久化；
   【–requirepass qiuyu】 强烈建议设置密码，并且将密码设置为高强度复杂；
   【redis-server /etc/redis/redis.conf】 以配置文件启动redis，加载容器内的conf文件；
   

6.DockerFile构建Java8项目

1. 写一个文件名为,把项目的jar包放入

FROM java:8-alpine
EXPOSE 8080
ENTRYPOINT java -jar ./community.jar

2. 使用docker build命令构建镜像docker build -t community:1.0 .

3. java -jar ./community.jar

部署成功

参考

https://blog.csdn.net/weixin_40750633/article/details/124737833

https://blog.csdn.net/qq_41974343/article/details/126035712

https://blog.csdn.net/weixin_46152207/article/details/126846681