任务:Oracle10.2.0.2升级到Oracle10.2.0.3系统:LinuxAS4Oracle版本:10.2.0.2Oracle:一个INSTANCE,300G左右数据,单机
不才第一次做升级居然是为一个银行生产库,压力大,工作烦,准备了一个星期.当天银行给了五个小时时间,实在是心里底气不足.莫办法,硬着头皮就上,是死是活就是这一朝了.在心惊胆战的状态下渡过300分钟.而且全身而退,实在不易.可是回头想想也就那么回事,步骤就那几个,简单明了.今天拿出来给大家参考.
任务:Oracle10.2.0.2升级到Oracle10.2.0.3
系统:LinuxAS4
Oracle版本:10.2.0.2
Oracle:一个INSTANCE,300G左右数据,单机
升级包: P5337014_10203_LINUX.zip(从https://metalink.Oracle.com/下载)
步骤:
确认备份是最新的,不然需要重新备份(也怕一失足成千古恨).
检查数据库环境($Oracle_HOME,SID,BASE).
通知系统管理员停止所有连接到Oracle的应用服务程序.停止所有Oracle HOME下所有程序. 例: $ emctl stop dbconsole $isqlplusctl stop
关闭Oracle SQL>SHUTDOWN IMMEDIATE.
停止监听.
解压升级包在$HOME路径(方便后面导出的SQL).
$xhost +(开启图形界面,我用的是X-MANAGER).
$./runInstaller(Oracle用户下执行)
出现让你用ROOT用户执行root.sh. 在 root用户下执行.完成(当然还没全部完成).
启动监听 $lsnrctl start
升级数据库 SQL>STARTUP UPGRADE SQL>SPOOL patch.log SQL>@?/rdbms/admin/catupgrd.sql SQL>SPOOL OFF 检查patch.log是否有致命错误.
重启数据库
检查各项环境是否运行正常.
重新启动所有服务.
大功告成.

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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