搞懂Redis RDB和AOF持久化及工作原理

前言

　　因为Redis的数据都储存在内存中，当进程退出时，所有数据都将丢失。为了保证数据安全，Redis支持RDB和AOF两种持久化机制有效避免数据丢失问题。RDB可以看作在某一时刻Redis的快照（snapshot），非常适合灾难恢复。AOF则是写入操作的日志。本文主要讲解RDB、AOF和混合结合使用。

 

一.探索RDB

　　RDB就像是一台给Redis内存数据存储拍照的照相机，生成快照保存到磁盘的过程。触发RDB持久化分为手动触发和自动触发。Redis重启读取RDB速度快，但是无法做到实时持久化，因此一般用于数据冷备和复制传输。

手动触发

　　使用save命令：此命令会使用Redis的主线程进程同步存储，阻塞当前的Redis服务器，造成服务不可用，直到RDB过程完成。无论当前服务器数据量大小，线上不要用。

127.0.0.1:6379> save
OK
(1.14s)
59117:M 13 Apr 13:34:51.948 * DB saved on disk

　　使用bgsave命令：此命令会通过fork()创建子进程，在后台进程存储。只有fork阶段会阻塞当前Redis服务器，不必到整个RDB过程结束，一般时间很短。因此Redis内部涉及到RDB都采用bgsave命令。这里注意一点，无论RDB还是AOF，由于使用了写时复制，fork出来的子进程不需要拷贝父进程的物理内存空间，但是会复制父进程的空间内存页表。

127.0.0.1:6379> bgsave
Background saving started
59117:M 13 Apr 13:44:40.312 * Background saving started by pid 59180
59180:C 13 Apr 13:44:40.314 * DB saved on disk
59117:M 13 Apr 13:44:40.317 * Background saving terminated with success

自动触发

　　一般我们是不会直接用命令生成RDB文件的，Redis支持自动触发RDB持久化机制，配置都在redis.conf文件里面，我们先来看一下文件里关于rdb的默认配置，这边都用红色字体标注出来了，英文的文档解释的十分清楚，注释也写的很不错。

################################ SNAPSHOTTING  ################################
#
# Save the DB on disk:
#
#   save <seconds> <changes>
#
#   Will save the DB if both the given number of seconds and the given
#   number of write operations against the DB occurred.
#
#   In the example below the behaviour will be to save:
#   after 900 sec (15 min) if at least 1 key changed
#   after 300 sec (5 min) if at least 10 keys changed
#   after 60 sec if at least 10000 keys changed
#
#   Note: you can disable saving completely by commenting out all "save" lines.
#
#   It is also possible to remove all the previously configured save
#   points by adding a save directive with a single empty string argument
#   like in the following example:
#
#   save ""

save 900 1
save 300 10
save 60 10000

# By default Redis will stop accepting writes if RDB snapshots are enabled
# (at least one save point) and the latest background save failed.
# This will make the user aware (in a hard way) that data is not persisting
# on disk properly, otherwise chances are that no one will notice and some
# disaster will happen.
#
# If the background saving process will start working again Redis will
# automatically allow writes again.
#
# However if you have setup your proper monitoring of the Redis server
# and persistence, you may want to disable this feature so that Redis will
# continue to work as usual even if there are problems with disk,
# permissions, and so forth.
stop-writes-on-bgsave-error yes

# Compress string objects using LZF when dump .rdb databases?
# For default that's set to 'yes' as it's almost always a win.
# If you want to save some CPU in the saving child set it to 'no' but
# the dataset will likely be bigger if you have compressible values or keys.
rdbcompression yes

# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
# This makes the format more resistant to corruption but there is a performance
# hit to pay (around 10%) when saving and loading RDB files, so you can disable it
# for maximum performances.
#
# RDB files created with checksum disabled have a checksum of zero that will
# tell the loading code to skip the check.
rdbchecksum yes

# The filename where to dump the DB
dbfilename dump.rdb

# The working directory.
#
# The DB will be written inside this directory, with the filename specified
# above using the 'dbfilename' configuration directive.
#
# The Append Only File will also be created inside this directory.
#
# Note that you must specify a directory here, not a file name.
dir /usr/local/var/db/redis/
  • save m n：代表Redis服务器在m秒内数据存在n次修改时，自动触发rdb。这个参数比较关键。
  • stop-writes-on-bgsave-error：如果是yes，当bgsave命令失败时Redis将停止写入操作。
  • rdbcompression：是否对RDB文件进行压缩，但是在LZF压缩消耗更多CPU
  • rdbchecksum：是否对RDB文件进程校验
  • dbfilename：配置文件名称，默认dump.rdb
  • dir：配置rdb文件存放的路劲，这个参数比较重要。

工作原理

　　首先我们来看一下server.h文件内saveparams参数，可以看到，seconds就是秒数，changes就是改变量。是不是就对应着刚刚说的save m n的配置呢？

struct redisServer {
    ....
    struct saveparam *saveparams;   /* Save points array for RDB */
    ...
};

struct saveparam {
    time_t seconds;
    int changes;
};

　　接下来我们看这个redis.c文件，有个周期性函数，叫做serverCron，它会周期调用，大概做这几件事情，见注释。用红色标注的说明会触发bgsave和aof rewrite。

/* This is our timer interrupt, called server.hz times per second.
 * Here is where we do a number of things that need to be done asynchronously.
 * For instance:
 *
 * - Active expired keys collection (it is also performed in a lazy way on
 *   lookup).
 * - Software watchdog.
 * - Update some statistic.
 * - Incremental rehashing of the DBs hash tables.
 * - Triggering BGSAVE / AOF rewrite, and handling of terminated children.
 * - Clients timeout of different kinds.
 * - Replication reconnection.
 * - Many more...
 *
 * Everything directly called here will be called server.hz times per second,
 * so in order to throttle execution of things we want to do less frequently
 * a macro is used: run_with_period(milliseconds) { .... }
 */

int serverCron(struct aeEventLoop *eventLoop, long long id, void *clientData) {

　　在这个方法里面有这样一段代码，这边单独拿出来，这段代码的意思是判断changes是否满足并执行save操作。

/* If there is not a background saving/rewrite in progress check if
         * we have to save/rewrite now */
         for (j = 0; j < server.saveparamslen; j++) {
            struct saveparam *sp = server.saveparams+j;

            /* Save if we reached the given amount of changes,
             * the given amount of seconds, and if the latest bgsave was
             * successful or if, in case of an error, at least
             * CONFIG_BGSAVE_RETRY_DELAY seconds already elapsed. */
            if (server.dirty >= sp->changes &&
                server.unixtime-server.lastsave > sp->seconds &&
                (server.unixtime-server.lastbgsave_try >
                 CONFIG_BGSAVE_RETRY_DELAY ||
                 server.lastbgsave_status == C_OK))
            {
                serverLog(LL_NOTICE,"%d changes in %d seconds. Saving...",
                    sp->changes, (int)sp->seconds);
                rdbSaveBackground(server.rdb_filename);
                break;
            }
         }

　　接着继续看这个方法的部分代码片段，在rdb.c文件里。我们可以看到子进程名为"redis-rdb-bgsave"

int rdbSaveBackground(char *filename) {
    pid_t childpid;
    long long start;

    if (server.aof_child_pid != -1 || server.rdb_child_pid != -1) return C_ERR;

    server.dirty_before_bgsave = server.dirty;
    server.lastbgsave_try = time(NULL);

    start = ustime();
    if ((childpid = fork()) == 0) {
        int retval;

        /* Child */
        closeListeningSockets(0);
        redisSetProcTitle("redis-rdb-bgsave");
        retval = rdbSave(filename);
        if (retval == C_OK) {
            size_t private_dirty = zmalloc_get_private_dirty();

            if (private_dirty) {
                serverLog(LL_NOTICE,
                    "RDB: %zu MB of memory used by copy-on-write",
                    private_dirty/(1024*1024));
            }
        }
        exitFromChild((retval == C_OK) ? 0 : 1);
    }

　　最后我们看一下RDB的运作流程图：

  1. redis执行bgsave命令，Redis判断当前存在正在进行执行的子进程，如RDB/AOF子进程，存在bgsave命令直接返回
  2. fork出子进程，fork操作中Redis父进程会阻塞
  3. fork完成返回　　59117:M 13 Apr 13:44:40.312 * Background saving started by pid 59180
  4. 子进程进程对内存数据生成快找文件
  5. 子进程告诉父进程处理完成

探索RDB文件

 　　我们可以使用redis-rdb-tools来分析rdb快照文件，他可以把rdb快照文件生成json文件，看起来比较方便。

rdb -c memory dump.rdb > testMjx.csv

　　然后我们看下生成的文件长啥样

database,type,key,size_in_bytes,encoding,num_elements,len_largest_element,expiry
0,string,mjx3,56,string,4,4,
0,string,mjx5,56,string,4,4,
0,string,mjx2,56,string,4,4,
0,string,mjx,48,string,8,8,
0,string,mjx4,56,string,4,4,

　　生成的数据有database（key在Redis的db）、type（key类型）、key（key值）、size_in_bytes（key的内存大小）、encoding（value的存储编码形式）、num_elements（key中的value的个数）、len_largest_element（key中的value的长度）、超时时间。

优缺点

　　RDB持久化方式的优点：

  • 非常适合全量备份
  • 恢复速度比AOF快

　　RDB持久化方式的缺点：

  • RDB方式没有办法做到实时持久化
  • 版本兼容RDB格式问题

 

二.探索AOF

 　　RDB方式不能提供强一致性，如果Redis进程崩溃，那么两次RDB之间的数据也随之消失。那么AOF的出现很好的解决了数据持久化的实时性，AOF以独立日志的方式记录每次写命令，重启时再重新执行AOF文件中的命令来恢复数据。AOF会先把命令追加在AOF缓冲区，然后根据对应策略写入硬盘（appendfsync），具体参数后面有讲。接下来介绍一下AOF重写命令。

手动触发

　　使用bgrewriteaof命令：Redis主进程fork子进程来执行AOF重写，这个子进程创建新的AOF文件来存储重写结果，防止影响旧文件。因为fork采用了写时复制机制，子进程不能访问在其被创建出来之后产生的新数据。Redis使用“AOF重写缓冲区”保存这部分新数据，最后父进程将AOF重写缓冲区的数据写入新的AOF文件中然后使用新AOF文件替换老文件。

127.0.0.1:6379> bgrewriteoaf
OK

自动触发

　　和RDB一样，配置在redis.conf文件里，当然你也可以通过调用CONFIG SET命令设置。我们先看来看AOF相关配置：

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

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

appendonly no

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

appendfilename "appendonly.aof"

# The fsync() call tells the Operating System to actually write data on disk
# instead of waiting for more data in the output buffer. Some OS will really flush
# data on disk, some other OS will just try to do it ASAP.
#
# Redis supports three different modes:
#
# no: don't fsync, just let the OS flush the data when it wants. Faster.
# always: fsync after every write to the append only log. Slow, Safest.
# everysec: fsync only one time every second. Compromise.
#
# The default is "everysec", as that's usually the right compromise between
# speed and data safety. It's up to you to understand if you can relax this to
# "no" that will let the operating system flush the output buffer when
# it wants, for better performances (but if you can live with the idea of
# some data loss consider the default persistence mode that's snapshotting),
# or on the contrary, use "always" that's very slow but a bit safer than
# everysec.
#
# More details please check the following article:
# http://antirez.com/post/redis-persistence-demystified.html
#
# If unsure, use "everysec".

# appendfsync always
appendfsync everysec
# appendfsync no

# When the AOF fsync policy is set to always or everysec, and a background
# saving process (a background save or AOF log background rewriting) is
# performing a lot of I/O against the disk, in some Linux configurations
# Redis may block too long on the fsync() call. Note that there is no fix for
# this currently, as even performing fsync in a different thread will block
# our synchronous write(2) call.
#
# In order to mitigate this problem it's possible to use the following option
# that will prevent fsync() from being called in the main process while a
# BGSAVE or BGREWRITEAOF is in progress.
#
# This means that while another child is saving, the durability of Redis is
# the same as "appendfsync none". In practical terms, this means that it is
# possible to lose up to 30 seconds of log in the worst scenario (with the
# default Linux settings).
#
# If you have latency problems turn this to "yes". Otherwise leave it as
# "no" that is the safest pick from the point of view of durability.

no-appendfsync-on-rewrite no

# Automatic rewrite of the append only file.
# Redis is able to automatically rewrite the log file implicitly calling
# BGREWRITEAOF when the AOF log size grows by the specified percentage.
#
# This is how it works: Redis remembers the size of the AOF file after the
# latest rewrite (if no rewrite has happened since the restart, the size of
# the AOF at startup is used).
#
# This base size is compared to the current size. If the current size is
# bigger than the specified percentage, the rewrite is triggered. Also
# you need to specify a minimal size for the AOF file to be rewritten, this
# is useful to avoid rewriting the AOF file even if the percentage increase
# is reached but it is still pretty small.
#
# Specify a percentage of zero in order to disable the automatic AOF
# rewrite feature.

auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb

# An AOF file may be found to be truncated at the end during the Redis
# startup process, when the AOF data gets loaded back into memory.
# This may happen when the system where Redis is running
# crashes, especially when an ext4 filesystem is mounted without the
# data=ordered option (however this can't happen when Redis itself
# crashes or aborts but the operating system still works correctly).
#
# Redis can either exit with an error when this happens, or load as much
# data as possible (the default now) and start if the AOF file is found
# to be truncated at the end. The following option controls this behavior.
#
# If aof-load-truncated is set to yes, a truncated AOF file is loaded and
# the Redis server starts emitting a log to inform the user of the event.
# Otherwise if the option is set to no, the server aborts with an error
# and refuses to start. When the option is set to no, the user requires
# to fix the AOF file using the "redis-check-aof" utility before to restart
# the server.
#
# Note that if the AOF file will be found to be corrupted in the middle
# the server will still exit with an error. This option only applies when
# Redis will try to read more data from the AOF file but not enough bytes
# will be found.
aof-load-truncated yes

# When rewriting the AOF file, Redis is able to use an RDB preamble in the
# AOF file for faster rewrites and recoveries. When this option is turned
# on the rewritten AOF file is composed of two different stanzas:
#
#   [RDB file][AOF tail]
#
# When loading Redis recognizes that the AOF file starts with the "REDIS"
# string and loads the prefixed RDB file, and continues loading the AOF
# tail.
#
# This is currently turned off by default in order to avoid the surprise
# of a format change, but will at some point be used as the default.
aof-use-rdb-preamble no
  • appendonly：是否打开AOF持久化功能
  • appendfilename：AOF文件名称
  • appendfsync：同步频率
  • auto-aof-rewrite-min-size：如果文件大小小于此值不会触发AOF，默认64MB
  • auto-aof-rewrite-percentage：Redis记录最近的一次AOF操作的文件大小，如果当前AOF文件大小增长超过这个百分比则触发一次重写，默认100

　　这里介绍一下appendfsync参数的可配置值

  • always：命令写入aof缓冲区后，每一次写入都需要同步，直到写入磁盘（阻塞，系统调用fsync）结束后返回。显然和Redis高性能背道而驰，不建议配置
  • everysec：命令写入aof缓冲区后，在写入系统缓冲区直接返回（系统调用write），然后有专门线程每秒执行写入磁盘（阻塞，系统调用fsync）后返回
  • no：命令写入aof缓冲区后，在写入系统缓冲区直接返回（系统调用write）。之后写入磁盘（阻塞，系统调用fsync）的操作由操作系统负责，通常最长30s

工作原理

　　这里看一段aof.c的代码，我们可以看到fork出名为"redis-aof-rewrite"的子进程

/* This is how rewriting of the append only file in background works:
 *
 * 1) The user calls BGREWRITEAOF
 * 2) Redis calls this function, that forks():
 *    2a) the child rewrite the append only file in a temp file.
 *    2b) the parent accumulates differences in server.aof_rewrite_buf.
 * 3) When the child finished '2a' exists.
 * 4) The parent will trap the exit code, if it's OK, will append the
 *    data accumulated into server.aof_rewrite_buf into the temp file, and
 *    finally will rename(2) the temp file in the actual file name.
 *    The the new file is reopened as the new append only file. Profit!
 */
int rewriteAppendOnlyFileBackground(void) {
    pid_t childpid;
    long long start;

    if (server.aof_child_pid != -1 || server.rdb_child_pid != -1) return C_ERR;
    if (aofCreatePipes() != C_OK) return C_ERR;
    start = ustime();
    if ((childpid = fork()) == 0) {
        char tmpfile[256];

        /* Child */
        closeListeningSockets(0);
        redisSetProcTitle("redis-aof-rewrite");
        snprintf(tmpfile,256,"temp-rewriteaof-bg-%d.aof", (int) getpid());
        if (rewriteAppendOnlyFile(tmpfile) == C_OK) {
            size_t private_dirty = zmalloc_get_private_dirty();

            if (private_dirty) {
                serverLog(LL_NOTICE,
                    "AOF rewrite: %zu MB of memory used by copy-on-write",
                    private_dirty/(1024*1024));
            }
            exitFromChild(0);
        } else {
            exitFromChild(1);
        }
    }
...
...

　　同样我们也看一下AOF的运作流程图：

  1. 所有的写入命令追加到aof缓冲区
  2. AOF缓冲区根据对应appendfsync配置向硬盘做同步操作
  3. 定期对AOF文件进行重写
  4. Redis重启时，可以加载AOF文件进行数据恢复

探索AOF文件

　　首先打开aof功能

127.0.0.1:6379> CONFIG SET appendonly yes
OK

59117:M 13 Apr 19:24:53.940 * Background append only file rewriting started by pid 59895
59117:M 13 Apr 19:24:53.964 * AOF rewrite child asks to stop sending diffs.
59895:C 13 Apr 19:24:53.965 * Parent agreed to stop sending diffs. Finalizing AOF...
59895:C 13 Apr 19:24:53.965 * Concatenating 0.00 MB of AOF diff received from parent.
59895:C 13 Apr 19:24:53.966 * SYNC append only file rewrite performed
59117:M 13 Apr 19:24:53.996 * Background AOF rewrite terminated with success
59117:M 13 Apr 19:24:53.996 * Residual parent diff successfully flushed to the rewritten AOF (0.00 MB)
59117:M 13 Apr 19:24:53.997 * Background AOF rewrite finished successfully

　　然后我们放一些数据，并执行bgrewriteaof命令

127.0.0.1:6379> CONFIG SET appendonly yes
OK
127.0.0.1:6379> set miao 24
OK
127.0.0.1:6379> set miao 177
OK
127.0.0.1:6379> lpush mlist 1
(integer) 1
127.0.0.1:6379> lpush mlist 2
(integer) 2
127.0.0.1:6379> lpush mlist 3
(integer) 3
127.0.0.1:6379> keys *
1) "miao"
2) "mlist"

　　接下来看一下aof文件：

*2
$6
SELECT
$1
0
*3
$3
SET
$4
miao
$3
177
*2
$6
SELECT
$1
0
*3
$5
lpush
$5
mlist
$1
1
*3
$5
lpush
$5
mlist
$1
2
*3
$5
lpush
$5
mlist
$1
3

　　这时候我们手动执行aof重写命令：

127.0.0.1:6379> bgrewriteaof
Background append only file rewriting started

59117:M 13 Apr 19:29:31.017 * 10 changes in 300 seconds. Saving...
59117:M 13 Apr 19:29:31.017 * Background saving started by pid 59905
59905:C 13 Apr 19:29:31.020 * DB saved on disk
59117:M 13 Apr 19:29:31.120 * Background saving terminated with success
59117:M 13 Apr 19:29:49.409 * Background append only file rewriting started by pid 59906
59117:M 13 Apr 19:29:49.433 * AOF rewrite child asks to stop sending diffs.
59906:C 13 Apr 19:29:49.433 * Parent agreed to stop sending diffs. Finalizing AOF...
59906:C 13 Apr 19:29:49.434 * Concatenating 0.00 MB of AOF diff received from parent.
59906:C 13 Apr 19:29:49.434 * SYNC append only file rewrite performed
59117:M 13 Apr 19:29:49.533 * Background AOF rewrite terminated with success
59117:M 13 Apr 19:29:49.533 * Residual parent diff successfully flushed to the rewritten AOF (0.00 MB)
59117:M 13 Apr 19:29:49.534 * Background AOF rewrite finished successfully

　　然后再看一下文件：

*2
$6
SELECT
$1
0
*3
$3
SET
$4
miao
$3
177
*5
$5
RPUSH
$5
mlist
$1
3
$1
2
$1
1

　　为什么AOF文件会变小？为了解决AOF文件会越来越大，Redis引入重写机制来缩小文件体积，体积变小因为：

  • 多条写入命令可以合并成一条。比如上面的lpush命令了3次，最后合并成1条
  • 重写后AOF文件只保留最终数据的写入命令

优缺点

　　AOF持久化方式的优点：

  • 做到最多丢失1-2s内的数据（最多丢失2s数据，因为AOF追加阻塞）

　　AOF持久化方式的缺点：

  • AOF文件比RDB文件大
  • 可能导致追加阻塞

 

参考：

书籍参考和上文一样

https://www.cnblogs.com/huangxincheng/p/5010795.html

posted @ 2019-04-13 20:01  GrimMjx  阅读(6951)  评论(3)  编辑  收藏  举报