ORA-00257归档日志写满的解决方法
在前一篇博客中我们提到了如何启动或关闭Oracle的归档(ARCHIVELOG)模式(http://www.linuxidc.com/Linux/2014-10/108120.htm),
v$recovery_file_dest; v$flash_recovery_area_usage; v$flash_recovery_area_usage; v$version;
归档日志文件目录、最大值(已经设定为20G)、当前使用值
可以看到ARCHIVED LOG的使用率是3.84%,这是因为我已经删除掉归档日志文件了。在没有删除归档日志之前是99.46这样打的数字,表明我们的归档日志已经使用了大部分的空间。
所以进入rman程序删除归档日志
rman target sys/pass@prjdb crosscheck archivelog all; ; expired archivelog all;--删除过期日志
深层分析
后来我想这样手动删除也不是个办法总得让系统自动删除。后来就做了数据库备份脚本。执行的备份策略如下:
因为我没有设定归档日志的有效期,所以一档完成增量备份,那么之前的所有归档日志都会被删除,相当于只保留一天的归档日志。在执行这个备份策略以后,发现还是会出现ORA-00257这样的错误。这个时候已经不是简单删除归档日志的问题了,因为当前的归档日志目录连一天的归档日志都发布下。所以考虑扩大归档日志目录,参考:
SQL;---设置使用空间大小(),20GB System altered SQL> show parameter db_recovery_file_dest;---查看归档日志路径限额
此时归档日志目录最大值就变成了20G。按照这样的设定再次重启oralce。
实例最近在进行历史数据导入的工作。要往我的数据库当中导入2G的历史记录,插入记录有几百万条。此时数据库处于归档模式,对于每一个插入操作都会记录到归档日志当中去。在执行这个历史导入操作后3个小时,归档日志就写满了。此时我的问题就来了,如果归档日志写满的,我们的历史导入操作还能正常进行吗?是否还能往数据库当中insert数据。在跟公司DBA请教一番以后得到答复,如果处于归档模式,,并且归档日志写满,那么我的历史数据导入操作会block中,直到我清空归档日志以后导入工作才能再进行。
在CentOS 6.4下安装Oracle 11gR2(x64)
Oracle 11gR2 在VMWare虚拟机中安装步骤
Debian 下 安装 Oracle 11g XE R2
本文永久更新链接地址:

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
