细粒度审计(FGA),是在Oracle 9i中引入的,能够记录SCN号和行级的更改以重建旧的数据,本文将详细介绍,需要的朋友可以参考下
细粒度审计(FGA),是在Oracle 9i中引入的,能够记录SCN号和行级的更改以重建旧的数据,但是它们只能用于select语句,而不能用于DML,如update、insert和delete语句.因此,对于Oracle数据库10g之前的版本,使用触发器虽然对于以行级跟踪用户初始的更改是没有吸引力的选择,但它也是唯一可靠的方法而Oracle10g中FGA功能的增强使其不但能够支持select操作,同时也支持DML操作。在 Oracle 10g 中,
审计已经从一个单纯的“操作记录者”成长为一个“事实记录机制”,它能以一个非常详细的级别来捕获用户的行为,这可以消除您对手动的、基于触发器的审计的需要。它还结合了标准审计和 FGA 的跟踪,这使其更易于跟踪数据库访问,而不用考虑它是如何生成的
通过细粒度审计我们可以记录:
◆在早上九点到下午六点之间或在星期六和星期日对某个表进行了访问
◆使用了公司网络外部的某个 IP 地址
◆选定或更新了特定列
◆使用了该列的特定值
审计实际是某个会话的server process在进行一些递归SQL的操作,而非依赖某些后台进程,这可以从10046事件观察到。

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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