innodb_flush_log_at_trx_commit参数用来控制缓冲区中的数据写入到日志文件以级日志文件数据刷新到磁盘的操作机制.0表示每秒写日志文件,并刷硬盘;1表示每事务写日志文件,并刷硬盘;2表示每事务写日志,但不刷硬盘. sync_binlog=1是最安全但是性能损耗最大的设置,是差不多比sync_binlog=0时的写入性能差5倍左右. ...
| innodb_flush_log_at_timeout | 1 | | innodb_flush_log_at_trx_commit | 1 | +---+---+ 2 rows in set (0.00 sec) 1. 2. 3. 4. 5. 6. 7. 8. mysql> set global innodb_flush_log_at_trx_commit=2; 1. mysql> show variables like '%innodb_flush_log%'; +---+---+ | V...
In the mysql config file, innodb_flush_log_at_trx_commit is set to 2. However, the MySQL official document recommends to set it to 1, which helps keep InnoDB ACID Compliant. "For durability and consistency in a replication setup that use...
Commit Permalink WL#8688: Support ability to persist SET GLOBAL settings Browse files Browse the repository at this point in the history This WL introduces an option to persist global dynamic configuration variables, for example like SET PERSIST innodb_flush_log_at_ti...
一般设置物理内存的30-40% read_buffer_size = 128K #读操作缓冲区大小,推荐设置16M或32M InnoDB参数...一般设置物理内存的60%-70% innodb_buffer_pool_instances = 1 #缓冲池实例个数,推荐设置4个或8个 innodb_flush_log_at_trx_commit = 1 #关键参数...对数据安全性要求不是很高的推荐设置2,性能高,...
使用SET GLOBAL不会影响您执行该陈述式的目前工作阶段。它会变更全域选项，但目前工作阶段仍会使用工作...
innodb_buffer_pool_size=2G innodb_buffer_pool_instances=2 innodb_log_buffer_size=256M innodb_log_file_size=256M innodb_thread_concurrency=18 innodb_flush_log_at_trx_commit=2 innodb_file_per_table=1 [root@server ~]# ./tuning-primer.sh ...
MySQL 服务器 把客户端传来的数据,从character_set_client字符集转换成character_set_connection字符集 比如我们可以设置 SETcharacter_set_client=gbkSETcharacter_set_results=gbk--而SETcharacter_set_connection=utf8 这样数据在 MySQL内部的存储表示 为 utf8 字符集,而与 客户端交互时,使用gbk字符集合 ...
server-id = 201 log_bin = /var/export/websrvDB.log/websrvDB-bin binlog_format = ROW binlog_do_db = websrvDB_pdw innodb_flush_log_at_trx_commit = 1 sync_binlog = 1 binlog_ignore_db = websrvDB_archive binlog_ignore_db = websrvDB_temp binlog_ignore_db = websrvDB_userdata ...
innodb_flush_log_at_trx_commit=1 # The size of the buffer InnoDB uses for buffering log data. As soon as # it is full, InnoDB will have to flush it to disk. As it is flushed # once per second anyway, it does not make sense to have it very large ...