Redis解压乱码处理痛苦的挣扎（redis 解压缩后乱码）

Redis解压：乱码处理痛苦的挣扎

Redis是一个高效的缓存系统，被广泛应用于互联网企业服务中，因其快速、稳定、持久等优点受到了用户们的追捧。然而，在Redis的使用过程中，经常会遇到乱码问题，这给很多Redis用户带来了很大的困扰。那么，Redis的乱码问题具体是什么，又该如何处理呢？

Redis乱码问题主要是由于Redis存储的字符串默认使用的是二进制存储方式，这就导致了当字符串内容中出现了非ASCII字符（如中文、日文等），在读取的时候就会出现乱码。例如，在Redis中存储一个中文字符串：

SET mykey "你好，Redis"

然后进行读取操作：

GET mykey

得到的结果可能会是一堆乱码，和原来的字符串完全不一样。这是因为Redis默认采用了二进制存储，而在读取的时候并没有指定使用什么样的编码格式，因此就导致了乱码问题的出现。

针对这个问题，我们可以在存储字符串的时候，指定相应的编码格式，例如UTF-8：

SET mykey "你好，Redis" NX EX 3600 CHARSET utf-8

在读取的时候，我们需要指定读取使用什么编码格式，例如：

GET mykey

结果将是“你好，Redis”，没有乱码问题。另外，在Redis的配置文件redis.conf中，也可以设置默认的编码格式为UTF-8：

# Redis uses \r\n as line delimiters in the protocol, but also handles
# clients sending just \n as line delimiters. For example telnet sends \n.
# However Redis considers the \r\n as the command terminator, so if the
# client sends just \n Redis will read a blank line as the last argument.
# Note that Redis can work with Redis clients that use the RESP protocol,
# so this is not a protocol violation.
#
# If you don't care about a little performance hit you can just tell Redis
# to ignore blank lines. This is the safest thing to do since you'll never
# have problems with protocols and old clients.
#
# However if you use software that talks to Redis using the Redis protocol,
# or that is a Redis client itself, like for instance redis-cli, then
# you'll need to use "full" protocol handling, and set this option to yes.
# This will cause Redis to always consider the first argument as a
# Redis command (not a key), and will not print any "entering/leaving"
# message, like most users expect from the telnet test.
#
# When a partial command is sent and the time since the last byte received
# is greater than the timeout set for a client socket then Redis will
# close the client socket. The timeout can be set differently for different
# clients using the client-output-buffer-limit directive.
#
full-protocol no

# Set the max number of clients that are allowed to be connected at the same
# time. By default there is no limit, and it's up to the number of file
# descriptors the Redis user is able to open (according to the OS limits).
#
# maxclients 10000

# Don't use an AOF file, use RDB instead.
#
# Note that you can have both the AOF and RDB 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 most recent dates, and then will start
# appending to the file at every write operation, while if the AOF file
# does not exist Redis will create one and start appending to it creating
# a full snapshot of the db at every write operation.
#
#appendonly no
# The name of the appendonly file (default: "appendonly.aof")
#
# appendfilename "appendonly.aof"

# The fsync() call tells the Operating System to actually write data on disk
# instead of wting 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 if one second passed since the last fsync. Compromise.
#
# The default is "everysec", as that's usually the right compromise between
# speed and data safety. It means that while you can lose up to 1 second of
# data during a crash, you can have a better Redis throughput most of the time.
#
# If you can live with the idea of some data loss consider the "no" option to
# speed up Redis a lot.
#
# If you care a lot about persistence and don't mind the speed penalty use
# "always". It's the safest option, and it's still reasonably fast.
#
# If you want to use "always" but you have very slow fsync times (for example
# if you are using Redis from inside a virtual machine) then you may want to
# use "everysec".
#
#appendfsync everysec

# 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 agnst 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 mn 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", that in pratical terms means that it is as
# good as if fsync() was never called since the last save. In case of a
# disaster this means that the latest save point will lose at most "N"
# seconds of writes (where N is the amount of time between the last save point
# and the sudden disaster).
#
# Still this mode can speed up Redis a lot, specially with spinning disks,
# and can be used in production since Redis is very forgiving about this
# kind of data loss.
#
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
# rewriting 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 append-only file gets loaded back into memory.
# This may happen when the system suffers from a power outage or a system
# crash.
#
# Redis can either exit with an error when this happens, or load as much
# data as possible (this means that the data appended to the AOF file
# after the last save point will be lost).
#
# If you select the "yes" option Redis will load as much data as possible
# into memory and will try to continue the operation. Partial or total
# data loss can happen depending on the amount of data appeared missing
# in the file.
#
# If you select the "no" option Redis will exit immediately with an error.
#
# When Redis exits with an error you should fix the problem that caused Redis
# to exit, as no data will be avlable since the last save point.
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 works as follows:
#
#   +-------+-------+---------+---------+-----//----+
#   | PREAM | RDB   | AOF     | AOF