本文介绍binlog的作用以及几个重要参数的使用方法,同时通过实验来描述binlog内部记录内容:row 、statement跟mixed的设置下,记录了哪些东西,最后会简单介绍下binlog server的搭建以及一些关于binlog使用的小Tips。
理解跟熟悉binlog相关内容,对复制原理及故障处理会有很大帮助的。
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" 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1 what's binary log
Binary log 用来记录数据库中发生的修改情况,比如数据的修改、表格的创建及修改等,它既可以记录涉及修改的SQL,也可以记录数据修改的行变化记录,同时也记录了执行时间。比如,执行sql:update tabname set cola='a' where id between 1 and 5,修改了5行记录。当开启binlog记录的时候,根据设置的binlog格式,可能记录的是这一条SQL语句,也可能记录的是5行数据记录的修改情况,也可能两者都有,这部分详情可以看本博文的第3部分:binlog formats。
这里注意跟general log区分下,binnary log是记录数据库内部的修改情况,而general log是记录所有数据库的SQL操作情况,比如像select或者show这种语句,不会发生数据修改,则不会记录到binnary log,但是属于数据库操作记录,会记录到general log。
那么,开启它,有什么好处,有什么确定呢 ?
首先,好处有3个:
- 搭建复制架构的时候,需要binary log 来记录数据库的修改event;
- 数据库宕机恢复使用;
- 异常操作,紧急恢复数据使用;
那么,当开启binlog记录日志的时候,也就以为着有一定的IO量被占用,相对而言,数据库会比不开启的时候稍微慢些。但是由于带来的好处比较多且重要,这点性能影响在大多数情况下可以忽略。
2 Binary Logging Options and Variables
2.1 基础参数
-
文件大小
- max_binlog_size
- 范围4k-1G,默认为1G;这里注意下,并非设置了 max_binlog_size=1G,binlog文件最大就为1G,当事务短且小的情况下,binlog接近1G的时候,就会flush log,生成新的binlog文件,但是,但是,但是,但是同个事务是不能够跨多个binlog文件存储,一个事务只能存储在一个binlog文件。如果这个时候,有个大事务,假设单个SQL UPDATE了100w行数据,SQL产生的binlog日志记录有5G,那么当前的binlog文件则会出现大于5G的情况,该事务结束后,才会切换binlog文件。
-
缓存大小
- binlog_cache_size
- binlog写缓冲区设置大小,由于是内存,写速度非常快,可以有效提高binlog的写效率,如果数据库中经常出现大事务,可以酌情提高该参数。
- 那么,如果观察自家DB实例的binlog_cache_size设置是否合理呢?可以通过show status like 'Binlog_cache%';查看Binlog_cache_use and Binlog_cache_disk_use的使用情况,Binlog_cache_use表示用到binlog缓冲区的次数,Binlog_cache_disk_use ,使用临时文件来存放binlog cache的次数,如果Binlog_cache_disk_use的次数过多,可以酌情提高该参数。详见下图。
- 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" alt="" />
- binlog_stmt_cache_size
- 保留一个事务内,非事务语句文本的缓存大小。默认32k。
- 与binlog_cache_size一样,也可以通过show status like 'binlog_stmt_cache%'来查看是否设置合理。查看参数为:Binlog_stmt_cache_use (使用缓存区的次数),Binlog_stmt_cache_disk_use(使用临时文件的次数)
- 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" alt="" />
- max_binlog_cache_size
- 默认为4G,如果发生大事务占用binlog cache超过设置值,则会报错 : multi-statement transaction required more than 'max_binlog_cache_size' bytes of storage。
- 这时候,就有个疑问了,为啥存在了 binlog_cache_size的设置,还需要 max_binlog_cache_size呢?
- 其实是这样,当一个线程连接进来并开始执行事务的时候,数据库会按照binlog_cache_size的大小分配给它一个缓冲区域,如果使用到的空间要大于binlog_cache_size,则会使用临时文件来存储,线程结束后再删除临时文件。
- 而max_binlog_cache_size则是严格限制了一个多SQL事务总的使用binlog cache的大小,保留分配缓冲区域跟临时文件,总大小不能超过max_binlog_cache_size的限制值,一旦超过,则会报错multi-statement transaction required more than 'max_binlog_cache_size' bytes of storage。
- max_binlog_stmt_cache_size
- 默认4G。超过则报错。注意事项跟 max_binlog_cache_size 类似。
-
binlog文件相关
- log_bin_basename
- log_bin_index
-
expire_logs_days
- binlog保留的有效天数,过期的会自动删除
- 这里有个小tips,假设当前binlog文件过多且大占用磁盘空间,可以修改小改参数,改参数只有在切换新的binlog文件时,才会删除过期文件,也就是可以等数据库把当前binlog写满后切换到新文件的时候删除,也可以手动执行flush logs,手动切换binlog,同时会触发对过期binlog文件的删除。
2.2 重要参数(sync_binlog=0丢失数据的描述有疑问,目前查阅相关资料跟咨询业界人士中....)
-
binlog开关
-
log_bin
- 需要在数据库配置文件中添加或者指定--log-bin=[base-name]启动DB服务,重启后修改才生效
- 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" alt="" />
-
日志记录内容相关
-
binlog_format
- 多么重要的参数,以至于本文开了一节来细讲,详见 第三部分
- 设置binlog的记录格式
- 5.7.6前默认statement,5.7.7后默认row,可选row,mixed,statement
-
binlog_row_image
- 主要针对当binlog_format=row格式 下的设置,
- 默认full,可选full,minimal,noblob
-
binlog_rows_query_log_events
- 主要针对当binlog_format=row格式 下的设置,如果基于row记录binlog日志,默认是只记录变化的行数据,不记录涉及执行的SQL语句,如果开启此参数,则会一同记录执行的SQL语句
- 默认false
- binlog_gtid_simple_recovery
- GTID复制会使用到,该参数控制 配置了的GTID复制到实例,在重启时或者清理binlog文件时,数据库只需要打开最老跟最新两个binlog文件取出gtid_purged and gtid_executed,不需要打开所有文件
- 默认为false,这个参数是社区反馈给官方添加,调整这个选项设置为True,对性能会有所提高,但是在某些环境下,由于只打开两个文件来计算,所以计算gtids值可能会出错。而保持这个选项值为false,能确保计算总是正确。
- 组提交(提高binary log并发提交的数据量)
- binlog_group_commit_sync_delay
- 默认为0
- 结合binlog_group_commit_sync_no_delay_count来理解,见下文
- binlog_group_commit_sync_no_delay_count
- 默认为0
- MySQL等待binlog_group_commit_sync_delay毫秒的时间直到 binlog_group_commit_sync_no_delay_count个数时进行一次组提交,如果binlog_group_commit_sync_delay毫秒内也还没有到达指定的个数,也会提交。
- flush disk相关
-
sync_binlog
- 5.7.7前默认为0,之后默认为1,范围0-4294967295
- sync_binlog =0,则是依赖操作系统刷新文件的机制,MySQL不会主动同步binlog内容到磁盘文件中去,而是依赖操作系统来刷新binary log。
- sync_binlog =N (N>0) ,则是MySQL 在每写 N次 二进制日志binary log时,会使用fdatasync()函数将它的写二进制日志binary log同步到磁盘中去。
- 注: 如果启用了autocommit,那么每一个语句statement就会有一次写操作;否则每个事务对应一个写操作。
- 如果设置sync_binlog =0 ,发生crash事件(服务器),数据库最高丢失binlog内容为1s内写在file system buffer的内容;
- 如果设置sync_binlog =N ,发生crash事件(服务器),数据库最高丢失binlog内容为写在file system buffer内 N个binlog events;
- innodb_flush_log_at_trx_commit和sync_binlog 都为 1(俗称双一模式),在mysqld 服务崩溃或者服务器主机crash的情况下,binary log 只有可能丢失最多一个语句或者一个事务。但是有得必有舍,这个设置是最安全但也是最慢的。适合数据一致性要求较高,核心业务使用。
- innodb_flush_log_at_trx_commit=2 ,sync_binlog=N (N为500 或1000) ,但是但是但是,服务器一定要待用蓄电池后备电源来缓存cache,在服务器crash后,还能支持把file system buffer中的内容写入到binlog file中,防止系统断电异常。这种适合当磁盘IO无法满足业务需求时,比如节假日或者周年活动产生的数据库IO压力,则推荐这么设置。
3 Binary Logging Formats
还记得你刚刚看到“日志记录内容相关 ” 小节里那三个红灿灿喜洋洋的参数吗?哈哈哈,见下文:
-
binlog_format
- 多么重要的参数,以至于本文开了一节来细讲,详见 第三部分
- 设置binlog的记录格式
- 5.7.6前默认statement,5.7.7后默认row,可选row,mixed,statement
-
binlog_row_image
- 主要针对当binlog_format=row格式 下的设置,
- 默认full,可选full,minimal,noblob
-
binlog_rows_query_log_events
- 主要针对当binlog_format=row格式 下的设置,如果基于row记录binlog日志,默认是只记录变化的行数据,不记录涉及执行的SQL语句,如果开启此参数,则会一同记录执行的SQL语句
- 默认false
实验内容:
- 设置binlog format格式;设置隔离级别;
- 创建表格
- INSERT操作(重点查看UUID()函数使用情况)
- UPDATE操作(检查自动更新时间列)
- DELETE操作
3.1 binlog_format=statement
#测试前环境准备及清理:
mysql> set binlog_format='statement';
mysql> SET session tx_isolation='REPEATABLE-READ';
mysql> SELECT @@GLOBAL.tx_isolation, @@tx_isolation;
mysql> show variables like 'binlog_format' ;
mysql> flush logs;
mysql> show master status;
测试前环境准备及清理:
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" alt="" />
模拟DDL操作及DML操作:
DDL跟DML模拟结束后,得到当前的binlog文件是 ,结束的position是,所以直接读取整个文件从position=154到i2216之间的操作记录,使用mysqlbinlog读取。
[root@localhost ~]# /usr/local/mysql/bin/mysqlbinlog --start-position=154 --stop-position=2216
[root@localhost ~]# /usr/local/mysql/bin/mysqlbinlog --start-position=154 --stop-position=2216 /data/mysql/mysql3306/logs/bin_log.000016
/*!50530 SET @@SESSION.PSEUDO_SLAVE_MODE=1*/;
/*!50003 SET @OLD_COMPLETION_TYPE=@@COMPLETION_TYPE,COMPLETION_TYPE=0*/;
DELIMITER /*!*/;
# at 4
#170323 15:29:32 server id 1793306 end_log_pos 123 CRC32 0xea8ce874 Start: binlog v 4, server v 5.7.14-log created 170323 15:29:32
# Warning: this binlog is either in use or was not closed properly.
BINLOG '
XHnTWA8aXRsAdwAAAHsAAAABAAQANS43LjE0LWxvZwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAEzgNAAgAEgAEBAQEEgAAXwAEGggAAAAICAgCAAAACgoKKioAEjQA
AXTojOo=
'/*!*/;
# at 154
#170323 15:29:40 server id 1793306 end_log_pos 219 CRC32 0x5b603be7 Anonymous_GTID last_committed=0 sequence_number=1
SET @@SESSION.GTID_NEXT= 'ANONYMOUS'/*!*/;
# at 219
#170323 15:29:40 server id 1793306 end_log_pos 627 CRC32 0xa60f096b Query thread_id=37 exec_time=0 error_code=0
use `binlogdb`/*!*/;
SET TIMESTAMP=1490254180/*!*/;
SET @@session.pseudo_thread_id=37/*!*/;
SET @@session.foreign_key_checks=1, @@session.sql_auto_is_null=0, @@session.unique_checks=1, @@session.autocommit=1/*!*/;
SET @@session.sql_mode=1436549152/*!*/;
SET @@session.auto_increment_increment=1, @@session.auto_increment_offset=1/*!*/;
/*!\C utf8 *//*!*/;
SET @@session.character_set_client=33,@@session.collation_connection=33,@@session.collation_server=33/*!*/;
SET @@session.lc_time_names=0/*!*/;
SET @@session.collation_database=DEFAULT/*!*/;
SET @@session.explicit_defaults_for_timestamp=1/*!*/;
CREATE TABLE `tbstatement` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`rowformat` varchar(50) NOT NULL,
`uuids` varchar(50) NOT NULL,
`timepoint` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
CurrentVersion timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB
/*!*/;
# at 627
#170323 15:29:45 server id 1793306 end_log_pos 692 CRC32 0x91e4c6df Anonymous_GTID last_committed=1 sequence_number=2
SET @@SESSION.GTID_NEXT= 'ANONYMOUS'/*!*/;
# at 692
#170323 15:29:45 server id 1793306 end_log_pos 787 CRC32 0xf21ab215 Query thread_id=37 exec_time=0 error_code=0
SET TIMESTAMP=1490254185/*!*/;
SET @@session.time_zone='+08:00'/*!*/;
BEGIN
/*!*/;
# at 787
# at 819
#170323 15:29:45 server id 1793306 end_log_pos 819 CRC32 0xdfd757e2 Intvar
SET INSERT_ID=1/*!*/;
#170323 15:29:45 server id 1793306 end_log_pos 978 CRC32 0x5cd9e755 Query thread_id=37 exec_time=0 error_code=0
SET TIMESTAMP=1490254185/*!*/;
insert into tbstatement(rowformat,uuids) select 'tbstatement1',uuid()
/*!*/;
# at 978
#170323 15:29:45 server id 1793306 end_log_pos 1009 CRC32 0x212a23f8 Xid = 285
COMMIT/*!*/;
# at 1009
#170323 15:29:45 server id 1793306 end_log_pos 1074 CRC32 0x8c4123f6 Anonymous_GTID last_committed=2 sequence_number=3
SET @@SESSION.GTID_NEXT= 'ANONYMOUS'/*!*/;
# at 1074
#170323 15:29:45 server id 1793306 end_log_pos 1169 CRC32 0x9ac5a016 Query thread_id=37 exec_time=0 error_code=0
SET TIMESTAMP=1490254185/*!*/;
BEGIN
/*!*/;
# at 1169
# at 1201
#170323 15:29:45 server id 1793306 end_log_pos 1201 CRC32 0xd294bbeb Intvar
SET INSERT_ID=2/*!*/;
#170323 15:29:45 server id 1793306 end_log_pos 1359 CRC32 0x2fdbd77b Query thread_id=37 exec_time=0 error_code=0
SET TIMESTAMP=1490254185/*!*/;
insert into tbstatement(rowformat,uuids) select 'tbstatement',uuid()
/*!*/;
# at 1359
#170323 15:29:45 server id 1793306 end_log_pos 1390 CRC32 0xbc159cbe Xid = 286
COMMIT/*!*/;
# at 1390
#170323 15:29:45 server id 1793306 end_log_pos 1455 CRC32 0x08e548c6 Anonymous_GTID last_committed=3 sequence_number=4
SET @@SESSION.GTID_NEXT= 'ANONYMOUS'/*!*/;
# at 1455
#170323 15:29:45 server id 1793306 end_log_pos 1542 CRC32 0xfee000eb Query thread_id=37 exec_time=0 error_code=0
SET TIMESTAMP=1490254185/*!*/;
BEGIN
/*!*/;
# at 1542
#170323 15:29:45 server id 1793306 end_log_pos 1689 CRC32 0x37403367 Query thread_id=37 exec_time=0 error_code=0
SET TIMESTAMP=1490254185/*!*/;
update tbstatement set rowformat='tbstatement1_update' where id=1
/*!*/;
# at 1689
#170323 15:29:45 server id 1793306 end_log_pos 1720 CRC32 0xcd22def6 Xid = 288
COMMIT/*!*/;
# at 1720
#170323 15:29:45 server id 1793306 end_log_pos 1785 CRC32 0x0ee70541 Anonymous_GTID last_committed=4 sequence_number=5
SET @@SESSION.GTID_NEXT= 'ANONYMOUS'/*!*/;
# at 1785
#170323 15:29:45 server id 1793306 end_log_pos 1872 CRC32 0x84b521c4 Query thread_id=37 exec_time=0 error_code=0
SET TIMESTAMP=1490254185/*!*/;
BEGIN
/*!*/;
# at 1872
#170323 15:29:45 server id 1793306 end_log_pos 1988 CRC32 0x993a03d3 Query thread_id=37 exec_time=0 error_code=0
SET TIMESTAMP=1490254185/*!*/;
delete from tbstatement where id=2
/*!*/;
# at 1988
#170323 15:29:45 server id 1793306 end_log_pos 2019 CRC32 0xb42df79d Xid = 289
COMMIT/*!*/;
# at 2019
#170323 15:29:46 server id 1793306 end_log_pos 2084 CRC32 0xdce8d553 Anonymous_GTID last_committed=5 sequence_number=6
SET @@SESSION.GTID_NEXT= 'ANONYMOUS'/*!*/;
# at 2084
#170323 15:29:46 server id 1793306 end_log_pos 2216 CRC32 0xc3c62bae Query thread_id=37 exec_time=0 error_code=0
SET TIMESTAMP=1490254186/*!*/;
DROP TABLE `tbstatement` /* generated by server */
/*!*/;
SET @@SESSION.GTID_NEXT= 'AUTOMATIC' /* added by mysqlbinlog */ /*!*/;
DELIMITER ;
# End of log file
/*!50003 SET COMPLETION_TYPE=@OLD_COMPLETION_TYPE*/;
/*!50530 SET @@SESSION.PSEUDO_SLAVE_MODE=0*/;
statement 格式的binlog
逐个事务拆分开看如下图:
小结:
- 当binlog_format=statement的时候,DDL及DML都是明文按照SQL记录存储
- 对复制的影响
- 某系统参数由于在不同时间不同服务器,执行结果不一致,这会给复制的主从带来数据不一致的严重影响
- LOAD_FILE(), UUID(), USER(),FOUND_ROWS(),defaults now()及用户自定义函数等
- 同步到从库的binlog都是SQL语句,在slave端再跑一遍,假设一个update语句性能很差,但是最终只修改了一行数据,那么在从库也会同样执行这个性能差的SQL
- 而对于 insert tb select * from tbname 这类型的SQL,则只需要同步一行SQL语句即可
3.2 binlog_format=row
3.2.1 binlog_row_image默认full,binlog_rows_query_log_events默认false
set binlog_format='row';
SET session tx_isolation='REPEATABLE-READ';
SELECT @@GLOBAL.tx_isolation, @@tx_isolation;
show variables like 'binlog_format' ;
show master status;
flush logs;
show master status;
CREATE TABLE `tbrow` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`rowformat` varchar(50) NOT NULL,
`uuids` varchar(50) NOT NULL,
`timepoint` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
CurrentVersion timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB;
insert into tbrow(rowformat,uuids) select 'row',uuid();
insert into tbrow(rowformat,uuids) select 'row',uuid();
update tbrow set rowformat='tbstatement1_update' where id=1;
delete from tbrow where id=2;
DROP TABLE tbrow;
show master status;
找到开始与结束的position点,查看这个区间的binlog日志内容:/usr/local/mysql/bin/mysqlbinlog --start-position=154 --stop-position=2196 /data/mysql/mysql3306/logs/bin_log.000017
发现,在row格式下,DML是加密存储,好在mysqlbinlog提供参数-v 反解析查看,指令如下:
[root@localhost ~]# /usr/local/mysql/bin/mysqlbinlog --base64-output=decode-rows -v -v --start-position=154 --stop-position=2196 /data/mysql/mysql3306/logs/bin_log.000017
小结:
- 当binlog_format=row的时候,其他参数默认,DDL明文存储SQL脚本,DML都是加密存储且存储的是每一行的行记录修改情况
- 对复制的影响
- 最安全的同步设置
- 同步到从库的binlog都是按行记录修改的SQL,所以假设一个update语句性能很差,但是最终只修改了一行数据,那么在从库不需要执行这个性能差的SQL,只需要直接执行行记录的修改结果即可(注意,使用基于row格式复制的实例,请给所有表格添加主键或者唯一索引,不然每一行记录的修改都需要全表扫,会导致从库性能非常差而且可能延时较长)
- 而对于 insert tb select * from tbname 这类型的SQL,statment格式的只需要同步一条sql,但是row的话,则需要同步所有行记录。
3.2.2 binlog_rows_query_log_events 设置
从上小节可以看出,当binlog_format=row的时候,只记录行修改情况,不记录执行的SQL的。启动这个参数,则可在row格式下查看到执行的sql语句。
造数据中:
查看binlog日志如下:
3.2.3 binlog_row_image设置
默认 full,可选full,minimal,noblob
- full的结果可看上文的所有截图,update的时候,set是全部列的新纪录,where是全部的旧记录;
- noblob
- minimal
小结
- 设置为full,则update语句的set部分是新纪录内容,delete及update语句的where部分是全部旧记录内容
- 设置为noblob,则update语句的set部分是新纪录内容,delete及update语句的where部分是全部旧记录内容,但是,如果如果修改的列不是blob或者text字段,则set部分不会出现blob及text字段;where条件中无论涉不涉及,都不会出现;
- 这个截图表格有3列,( id int,name text, description varchar(50)),只update id为2,binlog记录如下:
- 设置为minimal ,则update语句的set部分只有修改的列内容,delete及update语句的where部分是主键或者唯一索引,如果都没有,才会使整行旧记录。
- 这个截图中,有5列,主键是id,第5列是根据行变动记录时间,update第二列的值,第5列值自动更新,binlog记录如下:
- 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dhQty+NqYaORTPMmjaZxDyzfinMIL/XpSbBiq3r4FOfWgFbV1zK/14B8yRB7upP5G+qje+NSNrPLj2HT0ZatJpvO8FMXldims71UKRtEHgfInggPQc2NkiadroJnsxdD5vFOold0zbvLQiyph2atNnET0/afe0SaacbmGUpE7embXNUzFPXUdZuLc3wivzSPnO/RTs4E56zpl4Jm5ilq0Sadsh6UZYr0h6juEJzxmkeL9j949ewjRpH2DVtybThWpsOu6YtDVTVerdOa/Lkm9RxS33+9z8IM3tZ06bC+1opreMKBLUStq1fAgP878c4/kf4/ZhFvU9VDpxOaYd3HazsegCW1KSYpn0FvXbpnbB13adgL9G0//zLJVAjkeHOnavhpcNHwvq75wnpzIDF656GdYtF8p0Hr1aPhWU1blNm/wNL4Wfk9yh+jWn0T3yLadQ/5KboVlGoEjxYXQOvnDoZHqG/CR45/lTYf/bZsH9GFfv7jzOKvx1B7rZ41EPzjmZ4ifw+1Ya0C5tDnWfmwyuTJsFPzsn//f7m7Wzykirkt6OwlLGHte+J0LBhg2t5Y4+OtOmSBCeWy1Zszfcfck3U5utb+93mb5K/Vt7P1hHcsGA5s5a4022E3XNPhy/zv+tW7ywQmO3Y9ZjdSfu5zfC07P2FvLjzma8Xl6VFQ9qO6fVo3seK+XSnsWBVN/SK5EFRswxemzQWFvG/R0t1u6m3BeZLpN0uTLrYcgqZEKb58x2kPKKc8Cw7kHp1lpDE686E9mihrmz2t9A2F/uSbLodZXw/DU3tfazPjBDy19KYdrWhLLton1mg6IcuEzjJf7Ed6mD1zo2F/kzbuV949ghDvThp+x2vOlquT1dfyst9v76kLFc0jT/G0JyhYLDlW4X0jPLdmHaPy7smc/HvHpfvacug2pgjDI65XDuulkh7JMF/c1IXy/UNAkpmH/nGH+CueXltlV7vUtRBl08dLSd4TrPRxEVGRIOlEwSqwU4n+Au7fgncseWn8KVrvsjIu0YSEg0buuHBq0+ErtET4cBJJxUxcTTLVxGj4d4HchJpt8CexrnwYyHNwdTh8Nn7H4dfLZ0PW8+5EHZ/+9vQ09PD1qWp0KDf7xo9CZ5et5jlc2shj1tgyx2XFKwVl/zLFnh92jTo6uoi72/y9PP5hGgPjDwcfk1+ryQYUzD59ys3Vjl9ore3F7Zv3w77R+TbtI1ZUkbAayNHw95sluWVCk2at+e5ReX5t4yGv40fw4Sa6zrBs7IGT5598J5rWV/ZOflk2H9UCq46dr5Ls3kidRT8ZMlXi3sMnMk3t4LQScWq7u68CZxbUui9gWOms/qg6J85EwY/c0khTboM80shH3UEHfz3pgnk2dtvZ2WjeGnhQuiZ5JB/D+z+3vfg1dmzyQRuJ/RP4EsSvH/8+rKF8MrFF7P36P4LMd2URqA/ddOl0MstVLtHHA0v3PHhQj5fHF0Nz65ZA6+cfz7sOf54ODh6BNwqpbH36InQ8/Ofw6tnTWeWIVrPnxAmK7T9Dr51ZOFafUsva9fB226DlyaSfjxtArPC3PfWt8FD3/8ENPF9EY55mE4md/N+/Wn6u3oyPLduHUmjSFJ3pqrg1TFj4bVTT4XXZ8yA3pZ64xj9GMF23pf2VU2AF+67j7WfM+lfSLCDYAsbIyRvBCeJe15I/t887jh49t574bVTTmGWsgdPScE15P6fJs6Ag1VVrHxiHt19Jo+bnPYhpEv73A3k95N8bDgTJFqfmatyrE1ZHlvySxJX0b5C8BSfFH3ng1/gz+S/+RuCJcKkhtb5/sxZ0CJ8/04udx6X8kX70svVk+D5tWtd9ULzMkfFC573ddbGIeZcJU94pfAKdQh6WVNgMcHVEmkv5wNS9fx1x7wPBs+cyoiqp0Bq+bVaEX6k/RaC0y3y9zhP38FB6W+K83zS+ALBeme2LZGA6vnf8QlNSiifsxHtEoLNincGuYZN8Vfh94PSPWO9EI3sQPUYuJT8/iJdBxbaxgZUWDwkTMKu5vV1gvTcHjIJ+Wrrerh7nnxdrWnv45O1kY5gIXhD2jRFv/VOxbtfJ7hZk1/5Xpbg+8LfW7mwddrtdk5IST6rwt9x8polXHuP8JuSZaegiX2c1/skqW0oeYzjf1/KnxE18pelv6/mpPgOabLbJuXvP3gZUsIeC5r2OcK19xKIe0yO8elLfmW2zdsuPv6csUPr6iv877MEGeLXZx4SxgKdPMqb+l4gOEO6ZtMuCzlxO3+P5317rGW97VYQ9F80pG0aCxH4oYIOwceuTSNpO1ipWbvWrWmv0JiJnoygaQfBh4WZaqd0j5LJRYIgEAcf1Vp+T9BA8DXhGapZ/jsB1abPlN47lwv0lIa0KTYorBBX8f9P4xaEqZqyXOVTVnEj2mxqZue7+mdYkvaV0rUDkrA1kbOJtN+rmNh81CJPu3Q7ohX3ZgrWl1MIfko1I6oBCcswb0/4WRU2+kyeqOC+XJqQHuR7MsS2qVOku9BA2rSOr5PeGcXTfptgaj+oIJP/k0j7ZP7cfMsx51dmm7w5bVwjlVH+e5RFnzmPa6mfJbhNkR8dafu1y5FSvS/issG23oKQtmksoO/xxE34GjeYfs5EKlDTTvHZ/8+5hvgdn2c/yIlnnGBSHJTWsh+LkbTpzPQu/vsKPuEQ76/ng7VXuNbITXafI5jA//4xX0+ipq5uri2qvvdDPnBNpE3r4A+Kd6fwWfmjCsuDgwkBSNvBN3n72JD2XMW1i2Mg7RmKtbklPvmhpL4m4D3abmfzNrueC90VnJSeLtGzMvokQa8S3Bcq2nGO1A6yZWkN76M60qbm8AsU36N7SZxNbadr+kyfRNopTrJb+NLXZRHLbJM3h6jGC38/J1iCnHoZJ+xf2bByJexbsIAtl3R3dzNzNV3ioH8/Mj0/dlMBSNuvXSjoMcvP89+/Vbxjqjdb0jaNBSRtRCCcyTXL0/kAq+ea3bGa5ynpfYA/v5Zfu0ihXV8UQ95O4yY4ZwPLWmnmnOImRzoJ+i/FvfO5ue5bfIa7mU9K3sNJR/7ebI25TibtFD/WdoXw9+XcbPdODfHdzM2HqRCkTXF8mUn7bOnaE4blBQdt3Awc5N5tfA2zjbdZFSdVKvTuKNGzMh5WWFbCkLZsrdgspSuT9iPCureDo7jmN13oFweFpQsHrytI28FH+DunRCizTd6Ck7a+X5zNJ8SrFFa1qKR9Llc0ZvqcgFHVWw+fxIua+0HFN0xjAUkbYY3PcBP3DGlNex4/S6ha136Ua4tNgqOV2/nfXcLRoVk+355m0HYd/Kcws53D17flZ/7ABRdN61cCQdJnv8uJfzYf8PVc2NBnctI6YIqb0LOWpH0jXzt0duHfw9dIj+OTHiedd/K/b7Zsk8EI7WlL2n9SXDNd3ydZYBYqNtTMldbOT+PaiW4yprt3AbcqPChc+w07ZugtW1LPZrhZ1Pl7Ce/3JwnX5oQg7TXSmjDds3C4gbRv5PUsnib4Mt/wJX6LlukWaeOWvKZ9OTcPO3+/KKUbtMy2eQtC2qZ+sZnLgvF8cnlejKSd4lr0LVyOpQLU23o+9p2/mxSkbSoXkjbCCgs4qd1qcK4ynpPedk7uKa6dPCl01rdzwrpP0rTP5OmPMOThswFM6LP4juZLNUQlr4lRreOtXKNazdcwTxaISTRP/sxiI5uKtE04ggu9Dr4BqkY6jtMhHRczk3bRg1JcpE3r/iUF8equ7+OWkx5+b4vCdNolTUxMm7v8Nn7tFsyVzkbCQctn7zjvWnijqgqeeeYZlxc6ZkkYNQ5e/PSnYdu2bexM/R2adKnl6Z+kDYLPfOzdzCT8KCcexzRcs6wN3pwwAXb94AcuRz8q0p7NLUd0n8gzCs17UCJtZ6lnFx93NI1WxdGjs/hxy5186edDqWNh76TjYc15bvLZw9eiuxVj31NmvhlyUFFmm7zRetmxYwfbPb5z7Q2FMUDTOeuT97Pd8hR0h/csn37xdW5JSwnrzg/HTNqLONlOUJC2qd7m8BMFz/Ex8CHFN/z6+zAmbb+Qe3ZHsPRnrfNr1bL7zE6tUxl9WDa/EKKuYACu84k2od68+TSVT85LPTfnXGDpEY2apU478WrY0L2KmaVa+FEQukZ85fLlrLPexDXLXwvv3cBNWaoy0+MRdK2qt6eHH9lIe9rWOX+5+O2XwxtEKK6flU/nn1M18PvGRhj84Ez4tymz4a9z57L1LioA6NoXFdTLOBm3j5oCj65cCT1r18L2tjZ4bvEF7AjRvLu2FY4ZDd5yC+xubmbv9ghHmL6bmgKPX389vHzxTO6JjZ+t7u8vHO2gx1pWkzIMfOUCuOId/wh7Fy2C/RddBH+bNQte/PznoWf5BZ76pGc7VUFb6FlWJuSqq5m3t3LuhaACd5NwjnafMPGoskzjRZcAzLcvbXdaz6+O8F/bj4z5za72lO9tJwRbY5tWugHa+PMTDd/bubHB6oz5eKvvpqFhY/4oGO2n/zrXPt0jOAGNUzxzTIi6nBilPGTMaOuF36tR9hkdqEfE7Wys0L5Ej+wFKUvdqlXKTWV0s+q9bIK2lMm6+oD1Vm09FmJGRYfmjMGNqsljDS1XLtcphVoTidP9fW1YNp8Qop6Qopmsf5rGfBrKp8iLyXnFbbqOvnonbGhIs5ns1aljoOVri5iJdN7dd7NNaTctuRVWTbbtmBmXow9TZBuaz3snvwt2PvQQdK3MO+a45oxrYNt118GeBW+DK8+4FroeWOoRvlPZUZTzYWXXr5hTlh9xEm8Zexr89otzXI5bVnVvcHtEc47NnHYFvHjjjfDU8svZsThHyLgmWvWt0N7ezs67Lj71I7DrrsuF9a68cGlbVuNy9JHTTOLauZOG1tSJ0LyjTaqf0obRTDds1JK2Da6VJmyi57VrU2fAHz/2AffZ+CRA2or29VrNPS2hK0m7ETYK5GL6Xjqm/NPJXXvBccd8aN7epq2zc6W/P6fZs1EWCGepTffkPqMl3dU9Lkcv3vgHOgcv+XPZ1HVoHft/U8ERypF8f8O76S7xlV2uvh8VtuUKT9oVHZozQdLmnthc9zW+ZXX1oJ8QiM+a6s8iTVU+LSclRcLU+ebWB6Jo6W2RNh1RIZKf7VJ4NEMLBzpNabs6oMJwR1szNBPUsZnyBli2jGhK1LsW0W5kE6j7PT9tipZtk3LQU+KihEsHcaF8zM0mDb8pxMHN5qCPOqkg36N5qZHy4HJgkdE5xcm52oT6Wm+XvFxZe+Sjnp2EMJqt1DNUv6zd571UOY5QCveoh6m+4nVqDdmxoxle4aRNnb9Q7YZe1xKioo7lNqV163FpqvF+1cTz3y96LuNjU/SMJXq/cq5pHSKpnhesQY7TknTK7RGtiTvfUJKQ9ntptrzBHPH09VkSgncc0D6he3cdN4/Tkw9PT5wB+y+8EHp/8QvPuKR+3ln+afvJPvcN7UAdmjS29HLHOIIMFjzlFXz/q3zeG1yHqtrB1Jdk+UVlnm8gGkEJy/el4nLTA3yp4ksFB0CrAsrHMqOyQ3MaQu5FIm1NFDOTQ/ggzuJN8bRFrc03Tf9oa76kHSKcqS5Nx2NTr4fQI3i900TPokKyngitlnpCslRgUrPa6ro8Kepm8cw9ZK+PkNTlhUYr62WmN0owNJCHKJgzzDsgedcJxcnCb8oaRV5Ye5YxVO5yFQEm5KAu5QyjmebaSKj8sEmEt3x9Pt64MBxmsGAUJ3KNe0KqGFTHZTqu4HCY6SD8EHM4zJOFs9Pphg2xatml8WmSGiqhOd3m6yjBBcRr7vsq8/hAIWayXVg2KQ3uNEZO0yVYNWnq82lL2nJ5whJsUfDoQ8vFSNpivZC+kKPlE+JUm9u8OLtmGqTHfKnJCxdw9SnJJ7EqL06fVbnZtQluYduXShhG0zoIh01wj3KFw4wa0WlIh8OsYevhLfVyXuILh5lUOyQVDlMls9yWhjpY3bPJzvpQUQ67hkRoznCzLLUwcpOEck1YtjxYa9qKACehtXeffPoK25DBVnzqNz8AYvQvbyJtUUsRiTJgXF9v+3vz4tYipe9GyIu1pl3mMJq6fsQCOxjCw8aqHUWNrBWCtIdPOMy8lSdMOMxKaIfk6sUgsxTWrSFnHq/M0Jz6tehQmnZGY/43hLCzW9PWkSQ3qVoQsytNy3zqzf9h2iypSVpY0lbUWdBB7xngekuCss9HzYthTdtvf4T1mnbEMJrafmTQuBIJ7VhqsggaGncYhsOshHZItl5KLetK4qGzgkNzekIRBjf3+jWwfD+TlTqkFB5TvdPbTJLuKC7uZ212jwfTtCOEMw2x/l1RpC3tnLfXtBXXnO9EnkBktLvHze0eQKj4kXZKHa7Vc2RRGarWHB7WtJZo06+tycIU/ta0P8Zq74wiTZs1bc33/Oo61jozkTbJX85vf0UltEOi9VJqWVeSeBYVHJpTPt8chLAVmqrqXV/zuEEjk9et9SFEJd/lgc9p21kMChOtkOFMQ4SIi7xOrrQi+BGlqXzyfY+QMhC06rlsdK1frTH7tHuQc9oWpG0K1+rtoxKRGcPD2vlYsOpXPlqcNvytz8Yj0z1t+SzD9Kq/51fXMdaZJi6CaxNZ0EBMZWiH+OulXLKuJCh/JoZ1aM6hM3uryMAmw6ZuA/Vvyx3HCATiUJR1lbKNfZiG5kQgEAgE4tBwY4pAIBCI+JerQoYaRiBpIxAIBAKBQNJGIBAIBAJJG4FAIBAIxBAh7WiH281hJgcUB+lt7iXqahWBQCAQiArA/wMuU7dK+j45lAAAAABJRU5ErkJggg==" alt="" />
3.3 binlog_format=mixed
理解完statement跟row模式后,mixed混合模式就好理解了。
mixed模式下,大多数情况下,是以statement格式记录binlog日志,当隔离级别为RC模式的时候,则修改为row模式记录,以下几个形式,也是以row模式记录:
- When a function contains
UUID()
.
- When one or more tables with
AUTO_INCREMENT
columns are updated and a trigger or stored function is invoked. Like all other unsafe statements, this generates a warning if binlog_format = STATEMENT
- When the body of a view requires row-based replication, the statement creating the view also uses it. For example, this occurs when the statement creating a view uses the
UUID()
function.
- When a call to a UDF is involved.
- If a statement is logged by row and the session that executed the statement has any temporary tables, logging by row is used for all subsequent statements (except for those accessing temporary tables) until all temporary tables in use by that session are dropped
- This is true whether or not any temporary tables are actually logged.
- Temporary tables cannot be logged using row-based format; thus, once row-based logging is used, all subsequent statements using that table are unsafe. The server approximates this condition by treating all statements executed during the session as unsafe until the session no longer holds any temporary tables.
- When
FOUND_ROWS()
or ROW_COUNT()
is used. (Bug #12092, Bug #30244)
- When
USER()
, CURRENT_USER()
, or CURRENT_USER
is used. (Bug #28086)
- When a statement refers to one or more system variables. (Bug #31168)
不如做一个小小的总结,如下图:
4 binlog server的搭建
binlog server拿来干嘛?其实是一个实时备份binlog的配置,假设你有一台DB服务器的数据一致性及安全性非常高,你的备份策略可能是每周全备一次,每日差异备份一次,那么假设出现主从故障,需要使用备份来恢复,那么你可能丢失的数据最多可以达到一天。这个时候,其实可以搭建一个binlog server,来实时保存binlog文件在备份服务器上,它实时同步binlog文件内容,也就是当你发生宕机事故时,你可以通过备份文件+binlog server中的内容来恢复
- 搭建binlog
- 选定一台服务器,用来当做一个binlog server服务器
- 服务器上配置同个版本mysql
- 同一个binlog server 可以同步多台数据库实例的binlog文件
- 建立每个实例对应的文件夹,cd 文件夹,进入文件夹
- /usr/local/mysql/bin/mysqlbinlog -R --raw --host=192.168.9.111 --port=3330 --user='repl' --password='replasslave' --stop-never --stop-never-slave-server-id=1113330 --start-position=14981 bin_log.000045
- /usr/local/mysql/bin/mysqlbinlog -R --raw --host=192.168.9.112 --port=3310 --user='repl' --password='replasslave' --stop-never --stop-never-slave-server-id=1443310 --start-position=154 bin_log.000044
5 Tips
5.1 修改会话级别的binlog格式
一般情况下,我们不随意修改数据库级别的binlog格式,因为有可能会对程序不兼容。但是当人为导数的时候,比如insert into tb select * from .. 涉及100万行记录的时候,如果binlog_formant为row格式,那么产生的binlog文件将非常大,而且再传给从库落地为relay log也很大,这占用了一定量的IO资源,这个时候,可以在操作之前,先修改当前会话级别为 set binlog_formant='statement'; 再执行insert into tb select * from ..,那么它就仅记录这单条SQL,会话级别的binlog_format修改,不会影响整体的同步情况。
5.2 查看binlog中每个事务的开始跟结束
详细看上面的截图就会发现,都给大家把一个个事务画上了框框,细心可以发现,每个事务都会有一个last_committed,如下图。
则可以发现这个update事务从1285开始,1681结束,通过/usr/local/mysql/bin/mysqlbinlog --base64-output=decode-rows -v -v --start-position=1285 --stop-position=1681 /data/mysql/mysql3306/logs/bin_log.000017,可以正常读取这个事务。
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alt="" />
但是假如结尾的position读错,读成1650,那么,会发生什么情况呢?
由于读出来的事务属于没有提交的事务,那么mysqlbinlog则会认为这个事务需要回滚,添加rollback语句,并提示这个rollbac是由mysqlbinlog自身添加的。
/usr/local/mysql/bin/mysqlbinlog --base64-output=decode-rows -v -v --start-position=1285 --stop-position=1650 /data/mysql/mysql3306/logs/bin_log.000017
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5.3 根据binlog格式恢复数据(row格式)
通过mysqlbinlog正常读取行记录内容,按照一个事务一个事务来反推旧记录,insert的操作修改为delete,delete的修改为insert,update的set跟where兑换位置。
目前有不少python脚本可以用,本人也在试写中,大家感兴趣可以搜索下。
5.4 binlog文件清理(20170328修改)
- expire_logs_days+flush logs
- 设置expire_logs_days,假设当前binlog文件过多且大占用磁盘空间,可以修改小改参数,改参数只有在切换新的binlog文件时,才会删除过期文件,也就是可以等数据库把当前binlog写满后切换到新文件的时候删除,也可以手动执行flush logs,手动切换binlog,同时会触发对过期binlog文件的删除。注意从库的同步情况来设置。
- purge binary logs to 'xxxx'
- 清理 'xxxx' 之前的 binary log文件,只保留 'xxxx' 之后的binary log文件
- 但是使用这个指令的时候,要注意主从同步情况,如果在主库执行,一定要去从库 SHOW SLAVE STATUS,看下当前同步到哪个binlog文件,防止清理报错
5.5 与binlog相关的指令
查看当前binlog文件情况:show binary logs;
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" 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查看当前使用的binlog文件及position:show master status;(复制随处可见到使用)
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" 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查看某个文件中的binlog事件:show binlog events in 'bin_log.000003';
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alt="" />
重置所有binlog文件,会删除所有binlog文件哦,谨慎使用:reset master;
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" alt="" />
参考文档:
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binlog之一:binary log初探
MySQL Binary Log也就是常说的bin-log,是mysql执行改动产生的二进制日志文件,其主要作用有两个: Replication(主从数据库):在master端开启binary log ...
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手动创建binary log files和手动编辑binary log index file会有什么影响
基本环境:官方社区版MySQL 5.7.19 一.了解Binary Log结构 1.1.High-Level Binary Log Structure and Contents • Binlog包括b ...
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mysql二进制文件操作语法(mysql binary log operate statements)
开启 binary logs 功能 在 mysql 配置文件中配置 log-bin,重启 mysql my.cnf (on Linux/unix) or my.ini (on Windows) 例子: ...
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Concurrent inserts on MyISAM and the binary log
Recently I had an interesting surprise with concurrent inserts into a MyISAM table. The inserts were ...
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【MySQL】MySQL同步报错->; Last_IO_Error: Got fatal error 1236 from master when reading data from binary log
这个报错网上搜索了一下,大部分是由于MySQL意外关闭或强制重启造成的binlog文件事务点读取异常造成的主从同步报错 Last_IO_Error: Got fatal error 1236 from ...
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[MySQL复制异常]'Cannot execute statement: impossible to write to binary log since statement is in row format and BINLOG_FORMAT = STATEMENT.'
MySQL复制错误]Last_Errno: 1666 Last_Error: Error executing row event: 'Cannot execute statement: imposs ...
-
mysql 主从 Got fatal error 1236 from master when reading data from binary log: 'Could not find first 错误
本地MySQL环境,是两台MySQL做M-M复制.今天发现错误信息: mysql 5.5.28-log> show slave status\G ************************ ...
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17.1.1.4 Obtaining the Replication Master Binary Log Coordinates 得到复制master binary log 位置:
17.1.1.4 Obtaining the Replication Master Binary Log Coordinates 得到复制master binary log 位置: 你需要master ...
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7.5 Point-in-Time (Incremental) Recovery Using the Binary Log 使用binay log 基于时间点恢复
7.5 Point-in-Time (Incremental) Recovery Using the Binary Log 使用binay log 基于时间点恢复 7.5.1 Point-in-Tim ...
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1. CREATE DEFINER=`root`@`localhost` PROCEDURE `P_HoverTreePages`( ), ) , ), ), ), IN `SortType` INT ...
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u盘文件系统主要有FAT32.NTFS两种 ● FAT32文件系统 FAT32使用4个字节(也就是32位)的空间来表示每个扇区(Sector)配置文件的情形,故称之为FAT32.FAT16的分区容量上 ...