Docker安装常用中间件

介绍

[TOC]

安装环境：

system：CentOS7

Redis安装

1. 拉取jenkins镜像

   docker pull redis:6.0.6
   

2. 配置本地文件目录

   mkdir -p /apps/redis/data
   mkdir -p /apps/redis/conf
   

3. 在/apps/redis/conf配置redis.conf

   # 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
   #bind 192.168.153.135
   # 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
   
   ################################# TLS/SSL #####################################
   
   # By default, TLS/SSL is disabled. To enable it, the "tls-port" configuration
   # directive can be used to define TLS-listening ports. To enable TLS on the
   # default port, use:
   #
   # port 0
   # tls-port 6379
   
   # Configure a X.509 certificate and private key to use for authenticating the
   # server to connected clients, masters or cluster peers.  These files should be
   # PEM formatted.
   #
   # tls-cert-file redis.crt 
   # tls-key-file redis.key
   
   # Configure a DH parameters file to enable Diffie-Hellman (DH) key exchange:
   #
   # tls-dh-params-file redis.dh
   
   # Configure a CA certificate(s) bundle or directory to authenticate TLS/SSL
   # clients and peers.  Redis requires an explicit configuration of at least one
   # of these, and will not implicitly use the system wide configuration.
   #
   # tls-ca-cert-file ca.crt
   # tls-ca-cert-dir /etc/ssl/certs
   
   # By default, clients (including replica servers) on a TLS port are required
   # to authenticate using valid client side certificates.
   #
   # It is possible to disable authentication using this directive.
   #
   # tls-auth-clients no
   
   # By default, a Redis replica does not attempt to establish a TLS connection
   # with its master.
   #
   # Use the following directive to enable TLS on replication links.
   #
   # tls-replication yes
   
   # By default, the Redis Cluster bus uses a plain TCP connection. To enable
   # TLS for the bus protocol, use the following directive:
   #
   # tls-cluster yes
   
   # Explicitly specify TLS versions to support. Allowed values are case insensitive
   # and include "TLSv1", "TLSv1.1", "TLSv1.2", "TLSv1.3" (OpenSSL >= 1.1.1) or
   # any combination. To enable only TLSv1.2 and TLSv1.3, use:
   #
   # tls-protocols "TLSv1.2 TLSv1.3"
   
   # Configure allowed ciphers.  See the ciphers(1ssl) manpage for more information
   # about the syntax of this string.
   #
   # Note: this configuration applies only to <= TLSv1.2.
   #
   # tls-ciphers DEFAULT:!MEDIUM
   
   # Configure allowed TLSv1.3 ciphersuites.  See the ciphers(1ssl) manpage for more
   # information about the syntax of this string, and specifically for TLSv1.3
   # ciphersuites.
   #
   # tls-ciphersuites TLS_CHACHA20_POLY1305_SHA256
   
   # When choosing a cipher, use the server's preference instead of the client
   # preference. By default, the server follows the client's preference.
   #
   # tls-prefer-server-ciphers yes
   
   # By default, TLS session caching is enabled to allow faster and less expensive
   # reconnections by clients that support it. Use the following directive to disable
   # caching.
   #
   # tls-session-caching no
   
   # Change the default number of TLS sessions cached. A zero value sets the cache
   # to unlimited size. The default size is 20480.
   #
   # tls-session-cache-size 5000
   
   # Change the default timeout of cached TLS sessions. The default timeout is 300
   # seconds.
   #
   # tls-session-cache-timeout 60
   
   ################################# 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
   
   # Remove RDB files used by replication in instances without persistence
   # enabled. By default this option is disabled, however there are environments
   # where for regulations or other security concerns, RDB files persisted on
   # disk by masters in order to feed replicas, or stored on disk by replicas
   # in order to load them for the initial synchronization, should be deleted
   # ASAP. Note that this option ONLY WORKS in instances that have both AOF
   # and RDB persistence disabled, otherwise is completely ignored.
   #
   # An alternative (and sometimes better) way to obtain the same effect is
   # to use diskless replication on both master and replicas instances. However
   # in the case of replicas, diskless is not always an option.
   rdb-del-sync-files no
   
   # 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>
   #
   # However this is not enough if you are using Redis ACLs (for Redis version
   # 6 or greater), and the default user is not capable of running the PSYNC
   # command and/or other commands needed for replication. In this case it's
   # better to configure a special user to use with replication, and specify the
   # masteruser configuration as such:
   #
   # masteruser <username>
   #
   # When masteruser is specified, the replica will authenticate against its
   # master using the new AUTH form: AUTH <username> <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.
   #
   # 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
   
   # -----------------------------------------------------------------------------
   # WARNING: RDB diskless load is experimental. Since in this setup the replica
   # does not immediately store an RDB on disk, it may cause data loss during
   # failovers. RDB diskless load + Redis modules not handling I/O reads may also
   # cause Redis to abort in case of I/O errors during the initial synchronization
   # stage with the master. Use only if your do what you are doing.
   # -----------------------------------------------------------------------------
   #
   # Replica can load the RDB it reads from the replication link directly from the
   # socket, or store the RDB to a file and read that file after it was completely
   # recived from the master.
   #
   # In many cases the disk is slower than the network, and storing and loading
   # the RDB file may increase replication time (and even increase the master's
   # Copy on Write memory and salve buffers).
   # However, parsing the RDB file directly from the socket may mean that we have
   # to flush the contents of the current database before the full rdb was
   # received. For this reason we have the following options:
   #
   # "disabled"    - Don't use diskless load (store the rdb file to the disk first)
   # "on-empty-db" - Use diskless load only when it is completely safe.
   # "swapdb"      - Keep a copy of the current db contents in RAM while parsing
   #                 the data directly from the socket. note that this requires
   #                 sufficient memory, if you don't have it, you risk an OOM kill.
   repl-diskless-load disabled
   
   # 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
   
   ############################### KEYS TRACKING #################################
   
   # Redis implements server assisted support for client side caching of values.
   # This is implemented using an invalidation table that remembers, using
   # 16 millions of slots, what clients may have certain subsets of keys. In turn
   # this is used in order to send invalidation messages to clients. Please
   # to understand more about the feature check this page:
   #
   #   https://redis.io/topics/client-side-caching
   #
   # When tracking is enabled for a client, all the read only queries are assumed
   # to be cached: this will force Redis to store information in the invalidation
   # table. When keys are modified, such information is flushed away, and
   # invalidation messages are sent to the clients. However if the workload is
   # heavily dominated by reads, Redis could use more and more memory in order
   # to track the keys fetched by many clients.
   #
   # For this reason it is possible to configure a maximum fill value for the
   # invalidation table. By default it is set to 1M of keys, and once this limit
   # is reached, Redis will start to evict keys in the invalidation table
   # even if they were not modified, just to reclaim memory: this will in turn
   # force the clients to invalidate the cached values. Basically the table
   # maximum size is a trade off between the memory you want to spend server
   # side to track information about who cached what, and the ability of clients
   # to retain cached objects in memory.
   #
   # If you set the value to 0, it means there are no limits, and Redis will
   # retain as many keys as needed in the invalidation table.
   # In the "stats" INFO section, you can find information about the number of
   # keys in the invalidation table at every given moment.
   #
   # Note: when key tracking is used in broadcasting mode, no memory is used
   # in the server side so this setting is useless.
   #
   # tracking-table-max-keys 1000000
   
   ################################## SECURITY ###################################
   
   # Warning: since Redis is pretty fast an outside user can try up to
   # 1 million passwords per second against a modern box. This means that you
   # should use very strong passwords, otherwise they will be very easy to break.
   # Note that because the password is really a shared secret between the client
   # and the server, and should not be memorized by any human, the password
   # can be easily a long string from /dev/urandom or whatever, so by using a
   # long and unguessable password no brute force attack will be possible.
   
   # Redis ACL users are defined in the following format:
   #
   #   user <username> ... acl rules ...
   #
   # For example:
   #
   #   user worker +@list +@connection ~jobs:* on >ffa9203c493aa99
   #
   # The special username "default" is used for new connections. If this user
   # has the "nopass" rule, then new connections will be immediately authenticated
   # as the "default" user without the need of any password provided via the
   # AUTH command. Otherwise if the "default" user is not flagged with "nopass"
   # the connections will start in not authenticated state, and will require
   # AUTH (or the HELLO command AUTH option) in order to be authenticated and
   # start to work.
   #
   # The ACL rules that describe what an user can do are the following:
   #
   #  on           Enable the user: it is possible to authenticate as this user.
   #  off          Disable the user: it's no longer possible to authenticate
   #               with this user, however the already authenticated connections
   #               will still work.
   #  +<command>   Allow the execution of that command
   #  -<command>   Disallow the execution of that command
   #  +@<category> Allow the execution of all the commands in such category
   #               with valid categories are like @admin, @set, @sortedset, ...
   #               and so forth, see the full list in the server.c file where
   #               the Redis command table is described and defined.
   #               The special category @all means all the commands, but currently
   #               present in the server, and that will be loaded in the future
   #               via modules.
   #  +<command>|subcommand    Allow a specific subcommand of an otherwise
   #                           disabled command. Note that this form is not
   #                           allowed as negative like -DEBUG|SEGFAULT, but
   #                           only additive starting with "+".
   #  allcommands  Alias for +@all. Note that it implies the ability to execute
   #               all the future commands loaded via the modules system.
   #  nocommands   Alias for -@all.
   #  ~<pattern>   Add a pattern of keys that can be mentioned as part of
   #               commands. For instance ~* allows all the keys. The pattern
   #               is a glob-style pattern like the one of KEYS.
   #               It is possible to specify multiple patterns.
   #  allkeys      Alias for ~*
   #  resetkeys    Flush the list of allowed keys patterns.
   #  ><password>  Add this passowrd to the list of valid password for the user.
   #               For example >mypass will add "mypass" to the list.
   #               This directive clears the "nopass" flag (see later).
   #  <<password>  Remove this password from the list of valid passwords.
   #  nopass       All the set passwords of the user are removed, and the user
   #               is flagged as requiring no password: it means that every
   #               password will work against this user. If this directive is
   #               used for the default user, every new connection will be
   #               immediately authenticated with the default user without
   #               any explicit AUTH command required. Note that the "resetpass"
   #               directive will clear this condition.
   #  resetpass    Flush the list of allowed passwords. Moreover removes the
   #               "nopass" status. After "resetpass" the user has no associated
   #               passwords and there is no way to authenticate without adding
   #               some password (or setting it as "nopass" later).
   #  reset        Performs the following actions: resetpass, resetkeys, off,
   #               -@all. The user returns to the same state it has immediately
   #               after its creation.
   #
   # ACL rules can be specified in any order: for instance you can start with
   # passwords, then flags, or key patterns. However note that the additive
   # and subtractive rules will CHANGE MEANING depending on the ordering.
   # For instance see the following example:
   #
   #   user alice on +@all -DEBUG ~* >somepassword
   #
   # This will allow "alice" to use all the commands with the exception of the
   # DEBUG command, since +@all added all the commands to the set of the commands
   # alice can use, and later DEBUG was removed. However if we invert the order
   # of two ACL rules the result will be different:
   #
   #   user alice on -DEBUG +@all ~* >somepassword
   #
   # Now DEBUG was removed when alice had yet no commands in the set of allowed
   # commands, later all the commands are added, so the user will be able to
   # execute everything.
   #
   # Basically ACL rules are processed left-to-right.
   #
   # For more information about ACL configuration please refer to
   # the Redis web site at https://redis.io/topics/acl
   
   # ACL LOG
   #
   # The ACL Log tracks failed commands and authentication events associated
   # with ACLs. The ACL Log is useful to troubleshoot failed commands blocked 
   # by ACLs. The ACL Log is stored in memory. You can reclaim memory with 
   # ACL LOG RESET. Define the maximum entry length of the ACL Log below.
   acllog-max-len 128
   
   # Using an external ACL file
   #
   # Instead of configuring users here in this file, it is possible to use
   # a stand-alone file just listing users. The two methods cannot be mixed:
   # if you configure users here and at the same time you activate the exteranl
   # ACL file, the server will refuse to start.
   #
   # The format of the external ACL user file is exactly the same as the
   # format that is used inside redis.conf to describe users.
   #
   # aclfile /etc/redis/users.acl
   
   # IMPORTANT NOTE: starting with Redis 6 "requirepass" is just a compatiblity
   # layer on top of the new ACL system. The option effect will be just setting
   # the password for the default user. Clients will still authenticate using
   # AUTH <password> as usually, or more explicitly with AUTH default <password>
   # if they follow the new protocol: both will work.
   #
   # requirepass foobared
   
   # Command renaming (DEPRECATED).
   #
   # ------------------------------------------------------------------------
   # WARNING: avoid using this option if possible. Instead use ACLs to remove
   # commands from the default user, and put them only in some admin user you
   # create for administrative purposes.
   # ------------------------------------------------------------------------
   #
   # 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'.
   #
   # IMPORTANT: When Redis Cluster is used, the max number of connections is also
   # shared with the cluster bus: every node in the cluster will use two
   # connections, one incoming and another outgoing. It is important to size the
   # limit accordingly in case of very large clusters.
   #
   # 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 one from the following behaviors:
   #
   # volatile-lru -> Evict using approximated LRU, only keys with an expire set.
   # allkeys-lru -> Evict any key using approximated LRU.
   # volatile-lfu -> Evict using approximated LFU, only keys with an expire set.
   # allkeys-lfu -> Evict any key using approximated LFU.
   # volatile-random -> Remove a random key having 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
   
   # Redis reclaims expired keys in two ways: upon access when those keys are
   # found to be expired, and also in background, in what is called the
   # "active expire key". The key space is slowly and interactively scanned
   # looking for expired keys to reclaim, so that it is possible to free memory
   # of keys that are expired and will never be accessed again in a short time.
   #
   # The default effort of the expire cycle will try to avoid having more than
   # ten percent of expired keys still in memory, and will try to avoid consuming
   # more than 25% of total memory and to add latency to the system. However
   # it is possible to increase the expire "effort" that is normally set to
   # "1", to a greater value, up to the value "10". At its maximum value the
   # system will use more CPU, longer cycles (and technically may introduce
   # more latency), and will tollerate less already expired keys still present
   # in the system. It's a tradeoff betweeen memory, CPU and latecy.
   #
   # active-expire-effort 1
   
   ############################# 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
   
   # It is also possible, for the case when to replace the user code DEL calls
   # with UNLINK calls is not easy, to modify the default behavior of the DEL
   # command to act exactly like UNLINK, using the following configuration
   # directive:
   
   lazyfree-lazy-user-del no
   
   ################################ THREADED I/O #################################
   
   # Redis is mostly single threaded, however there are certain threaded
   # operations such as UNLINK, slow I/O accesses and other things that are
   # performed on side threads.
   #
   # Now it is also possible to handle Redis clients socket reads and writes
   # in different I/O threads. Since especially writing is so slow, normally
   # Redis users use pipelining in order to speedup the Redis performances per
   # core, and spawn multiple instances in order to scale more. Using I/O
   # threads it is possible to easily speedup two times Redis without resorting
   # to pipelining nor sharding of the instance.
   #
   # By default threading is disabled, we suggest enabling it only in machines
   # that have at least 4 or more cores, leaving at least one spare core.
   # Using more than 8 threads is unlikely to help much. We also recommend using
   # threaded I/O only if you actually have performance problems, with Redis
   # instances being able to use a quite big percentage of CPU time, otherwise
   # there is no point in using this feature.
   #
   # So for instance if you have a four cores boxes, try to use 2 or 3 I/O
   # threads, if you have a 8 cores, try to use 6 threads. In order to
   # enable I/O threads use the following configuration directive:
   #
   # io-threads 4
   #
   # Setting io-threads to 1 will just use the main thread as usually.
   # When I/O threads are enabled, we only use threads for writes, that is
   # to thread the write(2) syscall and transfer the client buffers to the
   # socket. However it is also possible to enable threading of reads and
   # protocol parsing using the following configuration directive, by setting
   # it to yes:
   #
   # io-threads-do-reads no
   #
   # Usually threading reads doesn't help much.
   #
   # NOTE 1: This configuration directive cannot be changed at runtime via
   # CONFIG SET. Aso this feature currently does not work when SSL is
   # enabled.
   #
   # NOTE 2: If you want to test the Redis speedup using redis-benchmark, make
   # sure you also run the benchmark itself in threaded mode, using the
   # --threads option to match the number of Redis theads, otherwise you'll not
   # be able to notice the improvements.
   
   ############################## 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
   
   # This option, when set to yes, allows nodes to serve read traffic while the
   # the cluster is in a down state, as long as it believes it owns the slots. 
   #
   # This is useful for two cases.  The first case is for when an application 
   # doesn't require consistency of data during node failures or network partitions.
   # One example of this is a cache, where as long as the node has the data it
   # should be able to serve it. 
   #
   # The second use case is for configurations that don't meet the recommended  
   # three shards but want to enable cluster mode and scale later. A 
   # master outage in a 1 or 2 shard configuration causes a read/write outage to the
   # entire cluster without this option set, with it set there is only a write outage.
   # Without a quorum of masters, slot ownership will not change automatically. 
   #
   # cluster-allow-reads-when-down 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)
   #  t     Stream commands
   #  m     Key-miss events (Note: It is not included in the 'A' class)
   #  A     Alias for g$lshzxet, so that the "AKE" string means all the events
   #        (Except key-miss events which are excluded from 'A' due to their
   #         unique nature).
   #
   #  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 ""
   
   ############################### GOPHER SERVER #################################
   
   # Redis contains an implementation of the Gopher protocol, as specified in
   # the RFC 1436 (https://www.ietf.org/rfc/rfc1436.txt).
   #
   # The Gopher protocol was very popular in the late '90s. It is an alternative
   # to the web, and the implementation both server and client side is so simple
   # that the Redis server has just 100 lines of code in order to implement this
   # support.
   #
   # What do you do with Gopher nowadays? Well Gopher never *really* died, and
   # lately there is a movement in order for the Gopher more hierarchical content
   # composed of just plain text documents to be resurrected. Some want a simpler
   # internet, others believe that the mainstream internet became too much
   # controlled, and it's cool to create an alternative space for people that
   # want a bit of fresh air.
   #
   # Anyway for the 10nth birthday of the Redis, we gave it the Gopher protocol
   # as a gift.
   #
   # --- HOW IT WORKS? ---
   #
   # The Redis Gopher support uses the inline protocol of Redis, and specifically
   # two kind of inline requests that were anyway illegal: an empty request
   # or any request that starts with "/" (there are no Redis commands starting
   # with such a slash). Normal RESP2/RESP3 requests are completely out of the
   # path of the Gopher protocol implementation and are served as usually as well.
   #
   # If you open a connection to Redis when Gopher is enabled and send it
   # a string like "/foo", if there is a key named "/foo" it is served via the
   # Gopher protocol.
   #
   # In order to create a real Gopher "hole" (the name of a Gopher site in Gopher
   # talking), you likely need a script like the following:
   #
   #   https://github.com/antirez/gopher2redis
   #
   # --- SECURITY WARNING ---
   #
   # If you plan to put Redis on the internet in a publicly accessible address
   # to server Gopher pages MAKE SURE TO SET A PASSWORD to the instance.
   # Once a password is set:
   #
   #   1. The Gopher server (when enabled, not by default) will still serve
   #      content via Gopher.
   #   2. However other commands cannot be called before the client will
   #      authenticate.
   #
   # So use the 'requirepass' option to protect your instance.
   #
   # To enable Gopher support uncomment the following line and set
   # the option from no (the default) to yes.
   #
   # gopher-enabled no
   
   ############################### 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 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 #######################
   #
   # 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 no
   
   # 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, to be used when the lower
   # threshold is reached
   # active-defrag-cycle-min 1
   
   # Maximal effort for defrag in CPU percentage, to be used when the upper
   # threshold is reached
   # active-defrag-cycle-max 25
   
   # Maximum number of set/hash/zset/list fields that will be processed from
   # the main dictionary scan
   # active-defrag-max-scan-fields 1000
   
   # Jemalloc background thread for purging will be enabled by default
   jemalloc-bg-thread yes
   
   # It is possible to pin different threads and processes of Redis to specific
   # CPUs in your system, in order to maximize the performances of the server.
   # This is useful both in order to pin different Redis threads in different
   # CPUs, but also in order to make sure that multiple Redis instances running
   # in the same host will be pinned to different CPUs.
   #
   # Normally you can do this using the "taskset" command, however it is also
   # possible to this via Redis configuration directly, both in Linux and FreeBSD.
   #
   # You can pin the server/IO threads, bio threads, aof rewrite child process, and
   # the bgsave child process. The syntax to specify the cpu list is the same as
   # the taskset command:
   #
   # Set redis server/io threads to cpu affinity 0,2,4,6:
   # server_cpulist 0-7:2
   #
   # Set bio threads to cpu affinity 1,3:
   # bio_cpulist 1,3
   #
   # Set aof rewrite child process to cpu affinity 8,9,10,11:
   # aof_rewrite_cpulist 8-11
   #
   # Set bgsave child process to cpu affinity 1,10,11
   # bgsave_cpulist 1,10-11
   
   

4. 启动redis

   docker run -d -p 6379:6379 -v /apps/redis/data:/data -v /apps/redis/conf/redis.conf:/usr/local/etc/redis/redis.conf  redis:6.0.6 redis-server /usr/local/etc/redis/redis.conf
   

Nginx安装

1. 拉取nginx镜像

   docker pull nginx:1.19.1
   

2. 配置本地文件目录

   mkdir -p /apps/nginx/html
   mkdir -p /apps/nginx/conf
   

3. 在/apps/nginx/html配置测试网页index.html,内容随意

4. 在/apps/nginx/conf配置nginx.conf

   #user  nobody;
   worker_processes  1;
   
   #error_log  logs/error.log;
   #error_log  logs/error.log  notice;
   #error_log  logs/error.log  info;
   
   #pid        logs/nginx.pid;
   
   
   events {
       worker_connections  1024;
   }
   
   
   http {
       include       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  logs/access.log  main;
   
       sendfile        on;
       #tcp_nopush     on;
   
       #keepalive_timeout  0;
       keepalive_timeout  65;
   
       #gzip  on;
   
       server {
           listen       80;
           server_name  localhost;
   
           #charset koi8-r;
   
           #access_log  logs/host.access.log  main;
   
           location / {
               root   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   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;
           #}
       }
   
   
       # another virtual host using mix of IP-, name-, and port-based configuration
       #
       #server {
       #    listen       8000;
       #    listen       somename:8080;
       #    server_name  somename  alias  another.alias;
   
       #    location / {
       #        root   html;
       #        index  index.html index.htm;
       #    }
       #}
   
   
       # HTTPS server
       #
       #server {
       #    listen       443 ssl;
       #    server_name  localhost;
   
       #    ssl_certificate      cert.pem;
       #    ssl_certificate_key  cert.key;
   
       #    ssl_session_cache    shared:SSL:1m;
       #    ssl_session_timeout  5m;
   
       #    ssl_ciphers  HIGH:!aNULL:!MD5;
       #    ssl_prefer_server_ciphers  on;
   
       #    location / {
       #        root   html;
       #        index  index.html index.htm;
       #    }
       #}
   
   }
   

5. 启动nginx

   docker run -d -p 80:80 -v /apps/nginx/html:/etc/nginx/html:ro -v /apps/nginx/conf/nginx.conf:/etc/nginx/nginx.conf:ro nginx:1.19.1
   

MySQL安装

1. 拉取mysql镜像

   docker pull mysql:5.7.31
   

2. 启动mysql

   docker run -d -e MYSQL_ROOT_PASSWORD=123456 -p 3306:3306 -v /apps/mysql/conf:/etc/mysql/conf.d -v /apps/mysql/data:/var/lib/mysql mysql:5.7.31 --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci