/* Function called at startup to load RDB or AOF file in memory. */ void loadDataFromDisk(void) { long long start = ustime(); if (server.aof_state == REDIS_AOF_ON) { if (loadAppendOnlyFile(server.aof_filename) == REDIS_OK) redisLog(REDIS_NOTICE,"DB loaded from append only file: %.3f seconds",(float)(ustime()-start)/1000000); } else { if (rdbLoad(server.rdb_filename) == REDIS_OK) { redisLog(REDIS_NOTICE,"DB loaded from disk: %.3f seconds", (float)(ustime()-start)/1000000); } else if (errno != ENOENT) { redisLog(REDIS_WARNING,"Fatal error loading the DB: %s. Exiting.",strerror(errno)); exit(1); } } }根据当前的持久化方式,分别执行aof或者rdb的数据加载。
下面看一下aof加载数据的函数loadAppendOnlyFile,主要是构建一个fake的client,然后从aof文件中解析并执行一条条命令。
struct redisClient *fakeClient; FILE *fp = fopen(filename,"r"); struct redis_stat sb; int old_aof_state = server.aof_state; long loops = 0; off_t valid_up_to = 0; /* Offset of the latest well-formed command loaded. */ if (fp && redis_fstat(fileno(fp),&sb) != -1 && sb.st_size == 0) { server.aof_current_size = 0; fclose(fp); return REDIS_ERR; } if (fp == NULL) { redisLog(REDIS_WARNING,"Fatal error: can‘t open the append log file for reading: %s",strerror(errno)); exit(1); } /* Temporarily disable AOF, to prevent EXEC from feeding a MULTI * to the same file we‘re about to read. */ server.aof_state = REDIS_AOF_OFF;打开aof文件并检查其大小。
// <MM> // fakeClient对应的文件描述符为-1 // 响应时,会据此判断是否需要发送响应内容 // </MM> fakeClient = createFakeClient(); startLoading(fp);创建fake的client,对应的fd赋值为-1,在响应时,会判断如果fd不为-1,才会添加写事件处理函数。这里设为-1,避免产生响应内容。startLoading会设置状态信息,具体操作包括:
(1)将redisServer.loading置为1,表示当前正处于数据加载阶段。此时有客户端访问时,会根据loading状态返回“数据正在加载...”。
(2)将当前时间赋值给redisServer.loading_start_time,用以统计数据加载时间。
(3)将aof文件大小赋值给redisServer.loading_total_bytes,用以统计加载进度
接下来是一个while循环,不断的读取命令并执行。下面看一下循环内部。
int argc, j; unsigned long len; robj **argv; char buf[128]; sds argsds; struct redisCommand *cmd; /* Serve the clients from time to time */ if (!(loops++ % 1000)) { loadingProgress(ftello(fp)); // <MM> // 处理部分事件 // 在启动后,加载aof时,此时监听socket已准备好 // 调用此函数,可以处理客户端的连接,之后也可以响应客户端的请求 // </MM> processEventsWhileBlocked(); }loops记录循环次数,在每执行1000次循环时,会更新一下加载进度。同时,由于加载过程一般比较长,所以此处会调用processEventsWhileBlocked函数,处理文件io事件,避免客户端一直阻塞。这个函数可以完成,客户端连接的建立,同时响应请求(数据正在加载,不完整,所以响应的内容都是返回错误,并提示“数据正在加载...”)。
接下来是读取aof文件并解析出命令。
// <MM> // 读一行,遇到\n // </MM> if (fgets(buf,sizeof(buf),fp) == NULL) { // <MM> // 读到eof,加载完毕 // </MM> if (feof(fp)) break; else goto readerr; } // <MM> // 处理‘*MULTI_BULK_LEN\r\n‘ // </MM> if (buf[0] != ‘*‘) goto fmterr; if (buf[1] == ‘\0‘) goto readerr; argc = atoi(buf+1); if (argc < 1) goto fmterr; argv = zmalloc(sizeof(robj*)*argc); fakeClient->argc = argc; fakeClient->argv = argv;读取multi bulk的长度,接下来是一个for循环,一次读取每个bulk。
// <MM> // 依次读取每个bulk // </MM> for (j = 0; j < argc; j++) { // <MM> // 处理‘$BULK_LEN\r\n‘ // </MM> if (fgets(buf,sizeof(buf),fp) == NULL) { fakeClient->argc = j; /* Free up to j-1. */ freeFakeClientArgv(fakeClient); goto readerr; } if (buf[0] != ‘$‘) goto fmterr; len = strtol(buf+1,NULL,10); // <MM> // 分配响应大小的buffer // </MM> argsds = sdsnewlen(NULL,len); // <MM> // 二进制读取len大小的buffer // </MM> if (len && fread(argsds,len,1,fp) == 0) { sdsfree(argsds); fakeClient->argc = j; /* Free up to j-1. */ freeFakeClientArgv(fakeClient); goto readerr; } argv[j] = createObject(REDIS_STRING,argsds); // <MM> // 跳过\r\n // </MM> if (fread(buf,2,1,fp) == 0) { fakeClient->argc = j+1; /* Free up to j. */ freeFakeClientArgv(fakeClient); goto readerr; /* discard CRLF */ } }依次读取每个bulk,解析出并赋值给fake client。
/* Command lookup */ cmd = lookupCommand(argv[0]->ptr); if (!cmd) { redisLog(REDIS_WARNING,"Unknown command ‘%s‘ reading the append only file", (char*)argv[0]->ptr); exit(1); } /* Run the command in the context of a fake client */ // <MM> // 执行命令的处理函数 // </MM> cmd->proc(fakeClient);解析出完整命令后,需要执行该命令,首先根据命令名,查找对应的command结构,最后回调命令处理函数。
/* The fake client should not have a reply */ // <MM> // fake client对应的socket fd为负数 // 准备响应的函数prepareClientToWrite会据此作判断,不返回响应内容 // </MM> redisAssert(fakeClient->bufpos == 0 && listLength(fakeClient->reply) == 0); /* The fake client should never get blocked */ redisAssert((fakeClient->flags & REDIS_BLOCKED) == 0); /* Clean up. Command code may have changed argv/argc so we use the * argv/argc of the client instead of the local variables. */ freeFakeClientArgv(fakeClient); if (server.aof_load_truncated) valid_up_to = ftello(fp);此处进行校验,因为fake client不可能有响应内容,最后清理fake client,以便下一个命令的执行。valid_up_to记录当前正确解析的日志长度,在数据不完整(提前读到eof)并且设置aof_load_truncated时,会将aof文件截断到valid_up_to字节。
最后是各种处理分支:
loaded_ok: /* DB loaded, cleanup and return REDIS_OK to the caller. */ fclose(fp); freeFakeClient(fakeClient); server.aof_state = old_aof_state; stopLoading(); aofUpdateCurrentSize(); server.aof_rewrite_base_size = server.aof_current_size; return REDIS_OK;数据加载正确的情况,会关闭aof文件,释放fake client,更新各种状态等。
readerr: /* Read error. If feof(fp) is true, fall through to unexpected EOF. */ if (!feof(fp)) { redisLog(REDIS_WARNING,"Unrecoverable error reading the append only file: %s", strerror(errno)); exit(1); }命令解析失败,直接退出。
uxeof: /* Unexpected AOF end of file. */ if (server.aof_load_truncated) { redisLog(REDIS_WARNING,"!!! Warning: short read while loading the AOF file !!!"); redisLog(REDIS_WARNING,"!!! Truncating the AOF at offset %llu !!!", (unsigned long long) valid_up_to); if (valid_up_to == -1 || truncate(filename,valid_up_to) == -1) { if (valid_up_to == -1) { redisLog(REDIS_WARNING,"Last valid command offset is invalid"); } else { redisLog(REDIS_WARNING,"Error truncating the AOF file: %s", strerror(errno)); } } else { /* Make sure the AOF file descriptor points to the end of the * file after the truncate call. */ if (server.aof_fd != -1 && lseek(server.aof_fd,0,SEEK_END) == -1) { redisLog(REDIS_WARNING,"Can‘t seek the end of the AOF file: %s", strerror(errno)); } else { redisLog(REDIS_WARNING, "AOF loaded anyway because aof-load-truncated is enabled"); goto loaded_ok; } } } redisLog(REDIS_WARNING,"Unexpected end of file reading the append only file. You can: 1) Make a backup of your AOF file, then use ./redis-check-aof --fix <filename>. 2) Alternatively you can set the ‘aof-load-truncated‘ configuration option to yes and restart the server."); exit(1);读到非预期的eof,即最后一条命令不完整。如果设置了aof_load_truncated,会将aof文件截断到valid_up_to,否则,直接退出。
fmterr: /* Format error. */ redisLog(REDIS_WARNING,"Bad file format reading the append only file: make a backup of your AOF file, then use ./redis-check-aof --fix <filename>"); exit(1);最后是命令的格式不正确,直接退出。
AOF要记录每条命令对数据库的更改,所以需要记录每条更新命令。redis会持有一个aof buffer,用于在一轮事件循环中,记录多天命令,然后在调用一次write进行写入,避免一个命令一次write,提高效率。序列化的流程很简单,对命令序列化,然后追加到aof buffer后面。
在介绍请求处理时,我们知道对于每条命令都会调用call函数处理。其中,会调用propagate函数处理主从复制和AOF。
void propagate(struct redisCommand *cmd, int dbid, robj **argv, int argc, int flags) { if (server.aof_state != REDIS_AOF_OFF && flags & REDIS_PROPAGATE_AOF) feedAppendOnlyFile(cmd,dbid,argv,argc); if (flags & REDIS_PROPAGATE_REPL) replicationFeedSlaves(server.slaves,dbid,argv,argc); }在redis开启aof,并且该命令需要记录aof时,会调用feedAppendOnlyFile函数用于生成并写入aof。下面看一下这个函数。
sds buf = sdsempty(); robj *tmpargv[3]; /* The DB this command was targeting is not the same as the last command * we appendend. To issue a SELECT command is needed. */ // <MM> // 当前操作的db与aof对应的db不同时,需要一个切换db的命令 // </MM> if (dictid != server.aof_selected_db) { char seldb[64]; snprintf(seldb,sizeof(seldb),"%d",dictid); buf = sdscatprintf(buf,"*2\r\n$6\r\nSELECT\r\n$%lu\r\n%s\r\n", (unsigned long)strlen(seldb),seldb); server.aof_selected_db = dictid; }在全局server结构中得aof_selected_db记录当前aof对应的数据库,如果当前命令操作的数据库与之不同的话,首先需要切换数据库。上述代码就是用于生产select db命令的。
// <MM> // 将命令序列化,并保存到buf // </MM> if (cmd->proc == expireCommand || cmd->proc == pexpireCommand || cmd->proc == expireatCommand) { /* Translate EXPIRE/PEXPIRE/EXPIREAT into PEXPIREAT */ buf = catAppendOnlyExpireAtCommand(buf,cmd,argv[1],argv[2]); } else if (cmd->proc == setexCommand || cmd->proc == psetexCommand) { /* Translate SETEX/PSETEX to SET and PEXPIREAT */ tmpargv[0] = createStringObject("SET",3); tmpargv[1] = argv[1]; tmpargv[2] = argv[3]; buf = catAppendOnlyGenericCommand(buf,3,tmpargv); decrRefCount(tmpargv[0]); buf = catAppendOnlyExpireAtCommand(buf,cmd,argv[1],argv[2]); } else { /* All the other commands don‘t need translation or need the * same translation already operated in the command vector * for the replication itself. */ buf = catAppendOnlyGenericCommand(buf,argc,argv); }接下来,将命令序列化为aof,具体序列化过程再次不赘述。这里应该可以优化,在读取命令buffer时,保存此buffer,命令参数使用指针指向该buffer,便可以节省次数序列化的开销。
// <MW> // 为什么不提前判断?这会浪费资源 // </MW> /* Append to the AOF buffer. This will be flushed on disk just before * of re-entering the event loop, so before the client will get a * positive reply about the operation performed. */ if (server.aof_state == REDIS_AOF_ON) // <MM> // 将命令buf追加到aof_buf // </MM> server.aof_buf = sdscatlen(server.aof_buf,buf,sdslen(buf));判断是否开启aof,如果开启则将aof追加到aof buffer。此处,应该可以提前判断,避免关闭aof时的aof的序列化开销。
/* If a background append only file rewriting is in progress we want to * accumulate the differences between the child DB and the current one * in a buffer, so that when the child process will do its work we * can append the differences to the new append only file. */ // <MM> // 如果开启了aof rewrite进程,将命令也添加到aof rewrite buf中 // 等rewrite完之后,在将rewrite buf的数据追加到文件中 // </MM> if (server.aof_child_pid != -1) aofRewriteBufferAppend((unsigned char*)buf,sdslen(buf)); sdsfree(buf);aof_child_pid记录aof rewrite进程的pid,如果rewrite正在进行,这个值不为-1。如果当前正在进行aof rewrite,则将命令的aof追加到aof rewrite buffer,待rewrite结束后进行replay。
AOF的写入就是将aof buffer写入到aof文件中,write系统调用只能保证写入page cache中,要落地到磁盘还需要调用fsync。所以,涉及到fsync的策略,这个函数会略微复杂一些。在beforeSleep函数中,会调用flushAppendOnlyFile函数进行写入。
/* Write the AOF buffer on disk */ flushAppendOnlyFile(0);之所以,在beforeSleep中,是为了在给客户端发送响应内容前进行,保证返回给客户端的内容都是写过aof的。同时,也保证一轮事件循环,对于多个客户端的请求处理只写一次aof,提升性能(当然,这样做的缺点就是不能保证数据的一致性)。下面看一下flushAppendOnlyFile函数。
ssize_t nwritten; int sync_in_progress = 0; mstime_t latency; // <MM> // 没有aof需要write,直接返回 // </MM> if (sdslen(server.aof_buf) == 0) return;检查aof buffer是否为空,空的话直接返回,没必要进行flush。
if (server.aof_fsync == AOF_FSYNC_EVERYSEC) sync_in_progress = bioPendingJobsOfType(REDIS_BIO_AOF_FSYNC) != 0;fsync是阻塞操作,避免影响主线程的事件循环,fsync操作由后台线程完成。如果设置的fsync策略是everysec,获取是否有后台线程正在进行fsync。
if (server.aof_fsync == AOF_FSYNC_EVERYSEC && !force) { /* With this append fsync policy we do background fsyncing. * If the fsync is still in progress we can try to delay * the write for a couple of seconds. */ if (sync_in_progress) { // <MM> // aof_flush_postponed_start记录从什么时候开始延迟flush // </MM> if (server.aof_flush_postponed_start == 0) { /* No previous write postponinig, remember that we are * postponing the flush and return. */ server.aof_flush_postponed_start = server.unixtime; return; } else if (server.unixtime - server.aof_flush_postponed_start < 2) { // <MM> // 尚未flush的aof buf不超过1s,没有违反every_sec策略,此次也不进行flush // </MM> /* We were already waiting for fsync to finish, but for less * than two seconds this is still ok. Postpone again. */ return; } /* Otherwise fall trough, and go write since we can‘t wait * over two seconds. */ server.aof_delayed_fsync++; redisLog(REDIS_NOTICE,"Asynchronous AOF fsync is taking too long (disk is busy?). Writing the AOF buffer without waiting for fsync to complete, this may slow down Redis."); } }
在fsync策略是everysec时,这段代码用于控制flush的频率。server.aof_flush_postponed_start记录上次延迟flush的时间戳,如果等于0,说明没有延迟。如果是everysec的fsync策略,并且当前正在进行fsync,这里会设置aof_flush_postponed_start。如果当前时间戳server.unixtime与延迟flush的时间戳间隔小于2s,那么没有违反everysec策略,不进行flush,直接返回。通过这段代码可以保证1秒内,不会flush多次。
如果没有当前没有进行fsync,或者当前时间戳server.unixtime与延迟flush的时间戳间隔大于2s,就会跳过这段代码,进行flush操作。
latencyStartMonitor(latency); // <MM> // 将aof写入日志,此处只是写入page cache,还需要fsync // </MM> nwritten = write(server.aof_fd,server.aof_buf,sdslen(server.aof_buf)); latencyEndMonitor(latency); /* We want to capture different events for delayed writes: * when the delay happens with a pending fsync, or with a saving child * active, and when the above two conditions are missing. * We also use an additional event name to save all samples which is * useful for graphing / monitoring purposes. */ if (sync_in_progress) { latencyAddSampleIfNeeded("aof-write-pending-fsync",latency); } else if (server.aof_child_pid != -1 || server.rdb_child_pid != -1) { latencyAddSampleIfNeeded("aof-write-active-child",latency); } else { latencyAddSampleIfNeeded("aof-write-alone",latency); } latencyAddSampleIfNeeded("aof-write",latency);
接下来,调用write进行写入,同时会记录各种延迟。write时,是将整个aof_buf进行写入。这里可以看到,如果fsync的策略是everysec,那么write也是每秒钟调用一次。实际上,这存在一个缺陷:即在机器没有掉电的情况下,redis挂了,也会最多丢失1秒的数据。如果不限制每秒调用一次write,而是每轮事件循环都调用write,就可以保证数据已经写入page cache,只要机器没挂,最终数据都会写入磁盘,就不会丢失数据。本身write是写cache,不存在性能瓶颈,所以这里可以改进一下。
/* We performed the write so reset the postponed flush sentinel to zero. */ // <MM> // 清空,当前没有延迟flush aof // </MM> server.aof_flush_postponed_start = 0;重置aof_flush_postponed_start,因为接下来会进行flush。
接下来,是对write调用进行错误检验。会有一个if分支进行
if (nwritten != (signed)sdslen(server.aof_buf)) { // 错误分支 } else { // 正常分支 }首先看一下错误分支。
static time_t last_write_error_log = 0; int can_log = 0; /* Limit logging rate to 1 line per AOF_WRITE_LOG_ERROR_RATE seconds. */ // <MM> // 限制记录错误日志的频率 // </MM> if ((server.unixtime - last_write_error_log) > AOF_WRITE_LOG_ERROR_RATE) { can_log = 1; last_write_error_log = server.unixtime; }last_write_error_log是static类型,记录上一次记录错误日志的时间戳,这段代码就是用于控制记录日志的频率,避免日志刷屏。
/* Lof the AOF write error and record the error code. */ if (nwritten == -1) { if (can_log) { redisLog(REDIS_WARNING,"Error writing to the AOF file: %s", strerror(errno)); server.aof_last_write_errno = errno; } } else {write返回值是-1,说明调用错误,只记录日志。接下来是处理部分写的情况。
} else { if (can_log) { redisLog(REDIS_WARNING,"Short write while writing to " "the AOF file: (nwritten=%lld, " "expected=%lld)", (long long)nwritten, (long long)sdslen(server.aof_buf)); } // <MM> // aof_current_size记录当前正确写入的aof的长度 // 当前write只写入部分数据,此处保证完整性,将写入的部分数据删掉 // </MM> if (ftruncate(server.aof_fd, server.aof_current_size) == -1) { if (can_log) { redisLog(REDIS_WARNING, "Could not remove short write " "from the append-only file. Redis may refuse " "to load the AOF the next time it starts. " "ftruncate: %s", strerror(errno)); } } else { /* If the ftrunacate() succeeded we can set nwritten to * -1 since there is no longer partial data into the AOF. */ nwritten = -1; } server.aof_last_write_errno = ENOSPC; }在部分写的情况发生时,会将部分写入的内容截掉,保证aof中的是完整的。server.aof_current_size记录当前正确写入的aof的长度,后面会对这个值进行更新。如果ftruncate成功,会设置nwritten为-1。如果失败的话,后面代码会将aof_current_size加上部分写的数据长度,同时将aof_buf中截取已写入部分。
接下来处理aof write失败。
/* Handle the AOF write error. */ if (server.aof_fsync == AOF_FSYNC_ALWAYS) { /* We can‘t recover when the fsync policy is ALWAYS since the * reply for the client is already in the output buffers, and we * have the contract with the user that on acknowledged write data * is synched on disk. */ redisLog(REDIS_WARNING,"Can‘t recover from AOF write error when the AOF fsync policy is ‘always‘. Exiting..."); // <MM> // fsync策略是always,write失败后,不能恢复,直接退出 // </MM> exit(1); } else { /* Recover from failed write leaving data into the buffer. However * set an error to stop accepting writes as long as the error * condition is not cleared. */ server.aof_last_write_status = REDIS_ERR; /* Trim the sds buffer if there was a partial write, and there * was no way to undo it with ftruncate(2). */ if (nwritten > 0) { // <MM> // 在ftruncate失败时,走这个分支,会把已写的aof从buffer中清空 // </MM> server.aof_current_size += nwritten; sdsrange(server.aof_buf,nwritten,-1); } // <MM> // write失败,下次会进行重试 // </MM> return; /* We‘ll try again on the next call... */ }
如果fsync策略是always,那么write失败,就表示整个操作失败,保证强一致性,此处进程退出。如果是其他策略,会根据nwritten,更新aof_current_size并调整aof_buf。
上面就是write的错误分支,下面看一下正常分支。
/* Successful write(2). If AOF was in error state, restore the * OK state and log the event. */ if (server.aof_last_write_status == REDIS_ERR) { redisLog(REDIS_WARNING, "AOF write error looks solved, Redis can write again."); server.aof_last_write_status = REDIS_OK; }如果fsync策略不是always,在write出错时,会有server.aof_last_write_status记录错误状态。如果后续的write操作正常,此处只是打印日志,表示错误恢复正常。
write调用的错误校验完成,接下来主要是后续的flush策略相关。
// <MM> // write成功,更新aof文件的大小 // </MM> server.aof_current_size += nwritten;write成功时,更新aof_current_size。
// <MM> // aof buf已成功write,此处序清空buffer // </MM> /* Re-use AOF buffer when it is small enough. The maximum comes from the * arena size of 4k minus some overhead (but is otherwise arbitrary). */ if ((sdslen(server.aof_buf)+sdsavail(server.aof_buf)) < 4000) { sdsclear(server.aof_buf); } else { sdsfree(server.aof_buf); server.aof_buf = sdsempty(); }aof_buf已成功写入文件,可以清空。为避免频繁分配、释放内存,此处保证在buf小于4K时,会一直重用该buf。如果大于4K,就会释放旧的buf,分配新的。
/* Don‘t fsync if no-appendfsync-on-rewrite is set to yes and there are * children doing I/O in the background. */ if (server.aof_no_fsync_on_rewrite && (server.aof_child_pid != -1 || server.rdb_child_pid != -1)) return;如果配置了no-appendfsync-on-rewrite,即在有aof rewrite或者是rdb save的子进程时不进行fsync,主要是避免对磁盘产生过大压力,这里会直接返回,不进行fsync。
/* Perform the fsync if needed. */ // <MM> // 1) always策略:每次write,都会调用fsync // 2) everysec策略:当大于上次fsync的时间(秒数)时,才会调度后台线程执行 // </MM> if (server.aof_fsync == AOF_FSYNC_ALWAYS) { /* aof_fsync is defined as fdatasync() for Linux in order to avoid * flushing metadata. */ latencyStartMonitor(latency); aof_fsync(server.aof_fd); /* Let‘s try to get this data on the disk */ latencyEndMonitor(latency); latencyAddSampleIfNeeded("aof-fsync-always",latency); server.aof_last_fsync = server.unixtime; } else if ((server.aof_fsync == AOF_FSYNC_EVERYSEC && // <MM> // 通过当前时间戳和上次aof sync的时间比较, // 只有比上次sync大时,才会启动后台sync操作 // </MM> server.unixtime > server.aof_last_fsync)) { if (!sync_in_progress) aof_background_fsync(server.aof_fd); server.aof_last_fsync = server.unixtime; }接下来,就是fsync相关。如果策略是always,直接进行fsync,记录延迟,同时更新aof_last_fsync。如果是everysec策略,并且server.unixtime > server.aof_last_fsync(保证一秒内不进行多次fsync),并且没有后台线程执行fsync,则调度后台线程进行fsync。
上面就是flush的全部流程。这个函数除了在beforeSleep中调用,在定时器事件处理函数serverCron中也会调用。
/* AOF postponed flush: Try at every cron cycle if the slow fsync * completed. */ // <MW> // 在有延迟flush aof的情况下,才会调用,主要是在fsync完成后 // 尽快进行下一次write aof // 但是,serverCron执行后,立刻就会执行beforeSleep,有这个必要在这执行么? // </MW> if (server.aof_flush_postponed_start) flushAppendOnlyFile(0);在aof_flush_postponed_start不为0时调用,即存在延迟flush的情况。主要是保证fsync完成之后,可以快速的进入下一次flush。尽量保证fsync策略是everysec时,每秒都可以进行fsync,同时缩短两次fsync的间隔,减少影响。
/* AOF write errors: in this case we have a buffer to flush as well and * clear the AOF error in case of success to make the DB writable again, * however to try every second is enough in case of ‘hz‘ is set to * an higher frequency. */ run_with_period(1000) { if (server.aof_last_write_status == REDIS_ERR) flushAppendOnlyFile(0); }还有一处调用,是保证aof出错时,尽快执行下一次flush,以便从错误恢复。
上面便是aof的序列化、写入以及sync的过程,rewrite放到下一篇再写。
原文地址:http://blog.csdn.net/chosen0ne/article/details/44035453