Python就业班——Redis数据库

1、redis参数配置（redis.windows.conf）

# Redis configuration file example

# 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 c:\path\to\other.conf

################################## 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 lookback 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.
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

# 允许的IP，默认只允许本机访问——lgsp_Harold-Hua
# bind 127.0.0.1
bind 0.0.0.0

# 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.

# 端口号，默认6379——lgsp_Harold-Hua
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)

# client空闲多少秒后关闭连接，默认0代表无限制——lgsp_Harold-Hua
# timeout 0
timeout 300

# TCP keepalive.
#
# If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
# of communication. This is useful for two reasons:
#
# 1) Detect dead peers.
# 2) Take the connection alive from the point of view of network
#    equipment in the middle.
#
# On Linux, the specified value (in seconds) is the period used to send ACKs.
# Note that to close the connection the double of the time is needed.
# On other kernels the period depends on the kernel configuration.
#
# A reasonable value for this option is 60 seconds.
tcp-keepalive 0

################################# 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.
# NOT SUPPORTED ON WINDOWS 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.
# NOT SUPPORTED ON WINDOWS 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.
# NOT SUPPORTED ON WINDOWS pidfile /var/run/redis.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)

# 日志级别——lgsp_Harold-Hua
loglevel notice

# Specify the log file name. Also 'stdout' can be used to force
# Redis to log on the standard output.

# 日志文件地址——lgsp_Harold-Hua
# logfile ""
logfile "logs.log"


# To enable logging to the Windows EventLog, just set 'syslog-enabled' to
# yes, and optionally update the other syslog parameters to suit your needs.
# If Redis is installed and launched as a Windows Service, this will
# automatically be enabled.

# 把日志记录到系统日志，默认yes——lgsp_Harold-Hua
# syslog-enabled no
syslog-enabled no

# Specify the source name of the events in the Windows Application log.
# syslog-ident redis

# 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

# 逻辑库数量，默认16——lgsp_Harold-Hua
# databases 16
databases 9

################################ 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 ""

# RDB文件同步频率——lgsp_Harold-Hua
# 注释掉，开启AOF方式
# 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.

# 同步RDB文件的时候是否采用压缩,默认yes——lgsp_Harold-Hua
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

# 镜像文件名称,默认dump.rdb——lgsp_Harold-Hua
dbfilename dump.rdb

# The working directory.
#
# The DB will be written inside this directory, with the filename specified
# above using the 'dbfilename' configuration directive.
#
# The Append Only File will also be created inside this directory.
#
# Note that you must specify a directory here, not a file name.

# rdb文件的目录,默认redis目录——lgsp_Harold-Hua
dir ./

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

# Master-Slave replication. Use slaveof to make a Redis instance a copy of
# another Redis server. A few things to understand ASAP about Redis replication.
#
# 1) Redis replication is asynchronous, but you can configure a master to
#    stop accepting writes if it appears to be not connected with at least
#    a given number of slaves.
# 2) Redis slaves are able to perform a partial resynchronization with the
#    master if the replication link is lost for a relatively small amount of
#    time. You may want to configure the replication backlog size (see the next
#    sections of this file) with a sensible value depending on your needs.
# 3) Replication is automatic and does not need user intervention. After a
#    network partition slaves automatically try to reconnect to masters
#    and resynchronize with them.
#
# slaveof <masterip> <masterport>

# If the master is password protected (using the "requirepass" configuration
# directive below) it is possible to tell the slave to authenticate before
# starting the replication synchronization process, otherwise the master will
# refuse the slave request.
#
# masterauth <master-password>

# When a slave loses its connection with the master, or when the replication
# is still in progress, the slave can act in two different ways:
#
# 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will
#    still reply to client requests, possibly with out of date data, or the
#    data set may just be empty if this is the first synchronization.
#
# 2) if slave-serve-stale-data is set to 'no' the slave will reply with
#    an error "SYNC with master in progress" to all the kind of commands
#    but to INFO and SLAVEOF.
#
slave-serve-stale-data yes

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

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

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

# Slaves send PINGs to server in a predefined interval. It's possible to change
# this interval with the repl_ping_slave_period option. The default value is 10
# seconds.
#
# repl-ping-slave-period 10

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

# Disable TCP_NODELAY on the slave socket after SYNC?
#
# If you select "yes" Redis will use a smaller number of TCP packets and
# less bandwidth to send data to slaves. But this can add a delay for
# the data to appear on the slave side, up to 40 milliseconds with
# Linux kernels using a default configuration.
#
# If you select "no" the delay for data to appear on the slave side will
# be reduced but more bandwidth will be used for replication.
#
# By default we optimize for low latency, but in very high traffic conditions
# or when the master and slaves are many hops away, turning this to "yes" may
# be a good idea.
repl-disable-tcp-nodelay no

# Set the replication backlog size. The backlog is a buffer that accumulates
# slave data when slaves are disconnected for some time, so that when a slave
# wants to reconnect again, often a full resync is not needed, but a partial
# resync is enough, just passing the portion of data the slave missed while
# disconnected.
#
# The bigger the replication backlog, the longer the time the slave can be
# disconnected and later be able to perform a partial resynchronization.
#
# The backlog is only allocated once there is at least a slave connected.
#
# repl-backlog-size 1mb

# After a master has no longer connected slaves for some time, the backlog
# will be freed. The following option configures the amount of seconds that
# need to elapse, starting from the time the last slave disconnected, for
# the backlog buffer to be freed.
#
# A value of 0 means to never release the backlog.
#
# repl-backlog-ttl 3600

# The slave priority is an integer number published by Redis in the INFO output.
# It is used by Redis Sentinel in order to select a slave to promote into a
# master if the master is no longer working correctly.
#
# A slave with a low priority number is considered better for promotion, so
# for instance if there are three slaves with priority 10, 100, 25 Sentinel will
# pick the one with priority 10, that is the lowest.
#
# However a special priority of 0 marks the slave as not able to perform the
# role of master, so a slave with priority of 0 will never be selected by
# Redis Sentinel for promotion.
#
# By default the priority is 100.
slave-priority 100

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

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

# Require clients to issue AUTH <PASSWORD> before processing any other
# commands.  This might be useful in environments in which you do not trust
# others with access to the host running redis-server.
#
# This should stay commented out for backward compatibility and because most
# people do not need auth (e.g. they run their own servers).
#
# Warning: since Redis is pretty fast an outside user can try up to
# 150k passwords per second against a good box. This means that you should
# use a very strong password otherwise it will be very easy to break.
#

# 设置redis访问密码,默认无需密码——lgsp_Harold-Hua
# requirepass foobared
requirepass root

# Command renaming.
#
# It is possible to change the name of dangerous commands in a shared
# environment. For instance the CONFIG command may be renamed into something
# hard to guess so that it will still be available for internal-use tools
# but not available for general clients.
#
# Example:
#
# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
#
# It is also possible to completely kill a command by renaming it into
# an empty string:
#
# rename-command CONFIG ""
#
# Please note that changing the name of commands that are logged into the
# AOF file or transmitted to slaves may cause problems.

################################### LIMITS ####################################

# 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'.
#

# 最大连接数,默认无限制——lgsp_Harold-Hua
# maxclients 10000
maxclients 2000

# If Redis is to be used as an in-memory-only cache without any kind of
# persistence, then the fork() mechanism used by the background AOF/RDB
# persistence is unnecessary. As an optimization, all persistence can be
# turned off in the Windows version of Redis. This will redirect heap
# allocations to the system heap allocator, and disable commands that would
# otherwise cause fork() operations: BGSAVE and BGREWRITEAOF.
# This flag may not be combined with any of the other flags that configure
# AOF and RDB operations.
# persistence-available [(yes)|no]

# Don't use more memory than the specified amount of bytes.
# When the memory limit is reached Redis will try to remove keys
# according to the eviction policy selected (see maxmemory-policy).
#
# If Redis can't remove keys according to the policy, or if the policy is
# set to 'noeviction', Redis will start to reply with errors to commands
# that would use more memory, like SET, LPUSH, and so on, and will continue
# to reply to read-only commands like GET.
#
# This option is usually useful when using Redis as an LRU cache, or to set
# a hard memory limit for an instance (using the 'noeviction' policy).
#
# WARNING: If you have slaves attached to an instance with maxmemory on,
# the size of the output buffers needed to feed the slaves are subtracted
# from the used memory count, so that network problems / resyncs will
# not trigger a loop where keys are evicted, and in turn the output
# buffer of slaves is full with DELs of keys evicted triggering the deletion
# of more keys, and so forth until the database is completely emptied.
#
# In short... if you have slaves attached it is suggested that you set a lower
# limit for maxmemory so that there is some free RAM on the system for slave
# output buffers (but this is not needed if the policy is 'noeviction').
#
# WARNING: not setting maxmemory will cause Redis to terminate with an
# out-of-memory exception if the heap limit is reached.
#
# NOTE: since Redis uses the system paging file to allocate the heap memory,
# the Working Set memory usage showed by the Windows Task Manager or by other
# tools such as ProcessExplorer will not always be accurate. For example, right
# after a background save of the RDB or the AOF files, the working set value
# may drop significantly. In order to check the correct amount of memory used
# by the redis-server to store the data, use the INFO client command. The INFO
# command shows only the memory used to store the redis data, not the extra
# memory used by the Windows process for its own requirements. Th3 extra amount
# of memory not reported by the INFO command can be calculated subtracting the
# Peak Working Set reported by the Windows Task Manager and the used_memory_peak
# reported by the INFO command.
#

# 占用内存的大小，默认无限制——lgsp_Harold-Hua
# maxmemory <bytes>
maxmemory 500m

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

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

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

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

# 开启AOF备份——lgsp_Harold-Hua
# appendonly no
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".

# AOF同步的频率——lgsp_Harold-Hua
# 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

# Hashes are encoded using a memory efficient data structure when they have a
# small number of entries, and the biggest entry does not exceed a given
# threshold. These thresholds can be configured using the following directives.
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

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

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

# When a child rewrites the AOF file, if the following option is enabled
# the file will be fsync-ed every 32 MB of data generated. This is useful
# in order to commit the file to the disk more incrementally and avoid
# big latency spikes.
aof-rewrite-incremental-fsync yes

################################## INCLUDES ###################################

# Include one or more other config files here.  This is useful if you
# have a standard template that goes to all Redis server but also need
# to customize a few per-server settings.  Include files can include
# other files, so use this wisely.
#
# include /path/to/local.conf
# include /path/to/other.conf

 

2、Redis字符串类型

　　2.1、字符串（String）：最大存储512M数据

SET插入
>SET email scott@qq.com
GET查询
>GET email
DEL删除
>DEL email
GETRANGE获取截取字符串内容
>GETRANGE email 0 3
STRLEN获得字符串长度
>STRLEN email
SETEX设置带有过去时间（秒）的key-value
>SETEX city 5 Beijing
PSETEX设置带有过去时间（毫秒）的key-value
>PSETEX city 5 Beijing
MSET设置多个KEY-VALUE
>MSET username scott sex male
MGET获得多个VALUE
>MGET username sex
APPEND用于在字符串结尾追加内容
>SET temp ABCD
>APPEND temp 1234
INCR数字自增加1
>INCR num
INCRBY数字加上指定的整数值
>INCRBY num 25
INCRBYFLOAT数字加上指定的浮点数
>INCRBYFLOAT num 2.5
DECR数字自增减1
>DECR num
数字减去指定的整数值
>DECRBY num 10

　　2.2、哈希

HSET设置哈希表字段
>HSET 8000 ename Jim
>HSET 8000 job SALESMAN
HMSET设置哈希表多个字段
>HMSET 8000 ename TOM job SALESMAN deptno 10
HGET获得哈希表字段值
>HGET 8000 ename
HMGET获取哈希表多个字字段值
>HMGET 8000 ename job deptno
HGETALL获得哈希表所有
>HGETALL 8000
HKEYS获得哈希表所有字段名
>HKEYS 8000
HLEN获取哈希表中字段的数量
>HLEN 8000
HEXISTS判断哈希表是否存在某个字段
>HEXISTS 8000 job
HVALS获得哈希表的所有字段值
>HVALS 8000
HDEL删除哈希表的字段
>HDEL 8000 job dept
HINCRBY让哈希表某个字段值加上指定的整数值
>HINCRBY 8000 deptno 10
HINCRBYFLOAT 8000 sal 350.5

　　2.3、列表（值可以重复）

RPUSH向列表右侧添加数据
>RPUSH dname 技术部 后勤部 售后部
LPUSH向列表左侧添加数据
>LPUSH dname 秘书部
LSET修改列表的value值
>LSET dname 2 销售部
LRANGE输出列表所有value值
>LRANGE dname 0 -1
LLEN获得列表长度
>LLEN dname
LINDEX获得列表某个元素
>LINDEX dname 2
LINSERT在某个位置插入元素
>LINSERT dname BEFORE[AFTER] 秘书处 董事会
LPOP删除最左侧的元素
>LPOP dname
RPOP删除最右侧的元素
>RPOP dname
LREM删除列表某些个元素
>LREM employee 2 scott

　　2.4、集合（值不可以重复）

SADD向集合添加元素
>SADD empno 8000 8001 8002
SMEMBERS无序获取集合所有元素
>SMEMBERS empno
SCARD获得集合长度
>SCARD empno
SISMEMBER判断是否含有某个元素
>SISMEMBER empno 8000
SREM删除元素
>SREM empno 8000 8001
SPOP随机删除并返回集合的某个元素
>SPOP empno
SRANDMEMBER随机返回集合中的元素
>SRANDMEMBER empno 5

　　2.5、有序集合（有序集合带有排序功能的集合，Redis会按照元素分数值排序）

ZADD增加有序集合
>ZADD keyword 0 "AA" 0 "BB" 0 "CC"
ZINCRBY加法运算
>ZINCRBY keyword 1 "AA"
>ZINCRBY keyword 5 "BB"
>ZINCRBY keyword 2 "CC"
ZREVRANGE获得有序集合的内容（降序）
>ZREVRANGE keyword 0 -1
>ZREVRANGE keyword 0 0
ZRANGE获得有序集合的内容（升序）
>ZRANGE keyword 0 -1
>ZRANGE keyword 0 0
ZCARD获得有序集合长度
>ZCARD keyword
ZCOUNT查询某个分数值区间内的元素数量
>ZCOUNT keyword 5 10
ZSCORE返回元素的分数值
>ZSCORE keyword "BB"
ZRANGEBYSCORE获得分数值区间内的集合内容（升序）
>ZRANGEBYSCORE keyword 5 10
>ZRANGEBYSCORE keyword 5 (10
>ZRANGEBYSCORE keyword 100000 +inf
ZREVRANGEBYSCORE获得分数值区间内的集合内容（降序）
>ZRANGEBYSCORE keyword 10 5

ZRANK获得元素的升序排名（从0开始）
>ZRANK keyword "BB"
ZREVRANK获得元素的降序排名（从0开始）
>ZREVRANK keyword "BB"
ZREM删除有序集合中的元素
>ZREM keyword "BB" "CC"
ZREMRANGEBYRANK删除排名区间内的元素
>ZREMRANGEBYRANK keyword 0 2
ZREMRANGEBYSCORE删除分数值区间内的元素
>ZREMRANGEBYSCORE keyword -inf (5000

DEL删除记录
>DEL keyword
EXISTS判断是否存在某个key
>EXISTS employee
EXPIRE设置记录过期时间（秒）
>EXPIRE employee 5
EXPIRE设置记录过期时间（豪秒）
>PEXPIRE employee 5000
EXPIREAT设置记录的过期时间（UNIX时间戳）
>EXPIREAT employee 1644803200
MOVE把记录迁移到其他逻辑库
>MOVE keyword 1
RENAME修改key名称
>RENAME keyword tmp
PERSIST移除过期时间
>PERSIST keyword
TYPE判断VALUE数据类型
>TYPE keyword

 

 3、Redis的事务

 　　保持事务一致性：开启事务之前用WATCH命令监视要操作的记录

>WATCH kill_num kill_user

　　开启事务后所有操作都不会立即执行，只有执行EXEC命令的时候才会批处理执行

>MULTI
>INCR kill_num
>RPUSH kill_user 9502
>EXEC

　　取消事务：在事务没提交执行前，如提交则无法取消；被监视的数据没有发生变化，不然事务会被关闭。

>MULTI
>...
>DISCARD

 

4、安装redis-py

pip install redis

 

5、创建连接

import redis

r = redis.Redis(
    host = "localhost",
    port = 6379,
    password = "root",
    db = 0
)

 

6、创建连接池

import redis

pool = redis.ConnectionPool(
    host = "localhost",
    port = 6379,
    password = "root",
    db = 1,
    max_connections = 20
)

 

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:redis_db.py
# Data:2020/10/21 19:58
# Author:LGSP_Harold
import redis

pool = redis.StrictRedis(
    host="localhost",
    port=6379,
    password="root",
    db=1,
    max_connections=20
)

 

7、创建与关闭连接

from redis_db import pool
import redis

conn = redis.Redis(
    connection_pool=pool
)
...
del conn

 

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example1.py
# Data:2020/10/21 22:20
# Author:LGSP_Harold
from redis_db import pool


connection_pool=pool

del connection_pool

 

8、操作指令

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example1.py
# Data:2020/10/21 22:20
# Author:LGSP_Harold
from redis_db import pool


connection_pool = pool
connection_pool.set("country", "英国") 
connection_pool.set("city", "伦敦") 
city = connection_pool.get("city").decode("utf-8") 
print(city) 
del connection_pool

 

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example_2.py
# Data:2020/10/22 0:06
# Author:LGSP_Harold
from redis_db import pool

conn = pool

try:
    conn.delete("country", "city")
    conn.mset({"country": "德国", "city": "柏林"})
    rest = conn.mget("country", "city")
    print(rest)
    for one in rest:
        print(one.decode("utf-8"))
except Exception as e:
    print(e)
finally:
    del conn

if __name__ == '__main__':
    pass

 

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example_3.py
# Data:2020/10/22 12:39
# Author:LGSP_Harold
from redis_db import pool


conn = pool

try:
    conn.rpush("dname", "AA", "BB", "CC", "DD", "EE")
    conn.lpop("dname")
    rest = conn.lrange("dname", 0, -1)
    for one in rest:
        print(one.decode("utf-8"))
except Exception as e:
    print(e)
finally:
    del conn

if __name__ == '__main__':
    pass

 

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example_4.py
# Data:2020/10/22 12:46
# Author:LGSP_Harold
from redis_db import pool

conn = pool

try:
    conn.sadd("employee", 8001, 8002, 8003)
    conn.srem("employee", 8002)
    rest = conn.smembers("employee")
    for one in rest:
        print(one.decode("utf-8"))
    conn.zadd("keyword", {"AA": 0, "BB": 0, "CC": 0})
    conn.zincrby("keyword", 10, "BB")
    rest = conn.zrevrange("keyword", 0, -1)
    for one in rest:
        print(one.decode("utf-8"))
except Exception as e:
    print(e)
finally:
    del conn

if __name__ == '__main__':
    pass

 

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example_5.py
# Data:2020/10/22 22:52
# Author:LGSP_Harold
from redis_db import pool

conn = pool

try:
    conn.hmset("9555", {"name": "scott", "age": 95, "sex": "male"})
    conn.hset("9555", "city", "伦敦")
    conn.hdel("9555", "age")
    rest = conn.hexists("9555", "name")
    print(rest)
    rest = conn.hgetall("9555")
    print(rest)
    for one in rest:
        print(one,rest[one])
        print(one.decode("utf-8"), rest[one].decode("utf-8"))
except Exception as e:
    print(e)
finally:
    del conn

if __name__ == '__main__':
    pass

 

9、redis-py中哈希类型数据与事务管理

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example_6.py
# Data:2020/10/23 11:45
# Author:LGSP_Harold
from redis_db import pool

conn = pool

try:
    pipline = conn.pipeline()
    pipline.watch("9555")
    pipline.multi()
    pipline.hset("9555", "name", "Jim")
    pipline.hset("9555", "age", 95)
    pipline.execute()
except Exception as e:
    print(e)
finally:
    if "pipline" in dir():
        pipline.reset()
    del conn


if __name__ == '__main__':
    pass

 

 利用redis-py缓存学生考试信息

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example_7.py
# Data:2020/10/23 12:33
# Author:LGSP_Harold
# 从TXT文档中解析学生的信息，把考试语数外成绩超过85分的同学信息，缓存到Redis的哈希表
"""
650,AA,2-1,77,88,99
651,BB,2-1,81,84,77
652,CC,2-2,99,88,44
653,DD,2-1,99,88,22
"""
from redis_db import pool

conn = pool

try:
    file = open(file="example_7.txt", mode="r", encoding="utf-8")
    data = file.read().splitlines()
    print("data:", data)
    for one in data:
        temp = one.split(",")
        print("temp:", temp)
        sid = temp[0]
        name = temp[1]
        classmno = temp[2]
        score_1 = int(temp[3])
        score_2 = int(temp[4])
        score_3 = int(temp[5])
        if score_1 >= 85 and score_2 >= 85 and score_3 >= 85:
            conn.hmset(sid, {"name": name, "classno": classmno, "score_1": score_1, "score_2": score_2, "score_3": score_3})
        print("执行成功")
except Exception as e:
    print(e)
finally:
    if "file" in dir():
        file.close()
    del conn


if __name__ == '__main__':
    pass

 

缓存观众投票数据信息案例

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example_8.py
# Data:2020/10/23 17:47
# Author:LGSP_Harold
# 模拟300位观众，为5位嘉宾随机投票，最后降序排列结果
from redis_db import pool
import random

conn = pool

try:
    # conn.delete("ballot")
    names = ["Jim", "Harold", "Leslie", "Lucifer", "Adolph"]
    conn.zadd("ballot", {names[0]: 0, names[1]: 0, names[2]: 0, names[3]: 0, names[4]: 0})
    for i in range(0, 300):
        num = random.randint(0, 4)
        name = names[num]
        conn.zincrby("ballot", 1, name)
    rest = conn.zrevrange("ballot", 0, -1, withscores=True)
    for one in rest:
        print(one[0].decode("utf-8"), int(one[1]))
except Exception as e:
    print(e)
finally:
    del conn


if __name__ == '__main__':
    pass

 

模拟商品秒杀活动

 EX：线程池

from concurrent.futures import ThreadPoolExecutor

def say_hello():
    print("Hello")

executor = ThreadPoolExecutor(33)
for i in range(0, 10):
    executor.submit(say_hello)

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
# Project:pythonRedisProject
# File:example_10.py
# Data:2020/10/25 20:11
# Author:LGSP_Harold
# 利用多线程模拟商品秒杀过程，不可以出现超买超卖的情况。假设A商品有50件参与秒杀活动，10分钟秒杀自动结束。
"""
    kill_total商品总数
    kill_num成功抢购数
    kill_flag有效标志位
    kill_user成功抢购的用户ID
"""
from redis_db import pool
import random
from concurrent.futures import ThreadPoolExecutor

s = set()
while True:
    if len(s) == 1000:
        break
    num = random.randint(10000, 100000)
    s.add(num)

conn = pool

try:
    conn.delete("kill_total", "kill_num", "kill_flag", "kill_user")
    conn.set("kill_total", 50)
    conn.set("kill_num", 0)
    conn.set("kill_flag", 1)
    conn.expire("kill_flag", 600)
except Exception as e:
    print(e)
finally:
    del conn

executor = ThreadPoolExecutor(200)


def buy():
    connection = pool
    pipeline = connection.pipeline()
    try:
        if connection.exists("kill_flag") == 1:
            pipeline.watch("kill_num", "kill_user")
            total = int(pipeline.get("kill_total").decode("utf-8"))
            num = int(pipeline.get("kill_num").decode("utf-8"))
            if num < total:
                pipeline.multi()
                pipeline.incr("kill_num")
                user_id = s.pop()
                pipeline.rpush("kill_user", user_id)
                pipeline.execute()
    except Exception as e:
        print(e)
    finally:
        if "pipeline" in dir():
            pipeline.reset()
        del connection


for i in range(0, 1000):
    executor.submit(buy)

print("秒杀结束")


if __name__ == '__main__':
    pass

 

 

P.S.1：Redis命令文档：http://doc.redisfans.com/

P.S.2：python操作Redis：https://www.cnblogs.com/john-xiong/p/12089103.html