Oracle 11gR2 RAC中修改数据库的SPFILE文件位置-Mysql Tutorial-php.cn

Home

Database

Mysql Tutorial

Oracle 11gR2 RAC中修改数据库的SPFILE文件位置

WBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB

Jun 07, 2016 pm 05:59 PM

oracleracRevisedatabase

在Oracle 11GR2 RAC中修改DATABASE spfile文件的位置不是原来的$ORACLE_HOME/dbs/initORACLE_SID.ora文件了，如果我们手动修改了这个文件，当使用sqlplus手动启动数据库的时候仍会生效，但是如果我们使用srvctl或者是crsctl工具来启动数据时，就不会生效了。

在Oracle 11GR2 RAC中修改DATABASE spfile文件的位置不是原来的$ORACLE_HOME/dbs/init.ora文件了，如果我们手动修改了这个文件，当使用sqlplus手动启动数据库的时候仍会生效，但是如果我们使用srvctl或者是crsctl工具来启动数据时，就不会生效了。因为spfile文件的路径已经与集群结束在一起了。当$ORACLE_HOME/dbs/init.ora中的内容与我们srvctl看到的内容不一致的时候，使用srvctl工具启动数据库时，会自己修改$ORACLE_HOME/dbs/init.ora文件中的内容与其一致的。在$ORACLE_HOME/dbs/init.ora文件第一行后可以看到#add by agent
1.[oracle@11rac1 ~]$ srvctl modify database -d power -p +DATA3/power/parameterfile/spfile.257.794161021 2.[Oracle@11rac1 ~]$ srvctl config database -d power 3.Database unique name: power 4.Database name: power 5.Oracle home: /u01/app/oracle/product/11.2.0/db_1 6.Oracle user: oracle 7.Spfile: +DATA3/power/parameterfile/spfile.257.794161021 8.Domain: 9.Start options: open 10.Stop options: immediate 11.Database role: PRIMARY 12.Management policy: AUTOMATIC 13.Server pools: power 14.Database instances: power1,power2 15.Disk Groups: DATA,ARCH,DATA3,ARCH1 16.Mount point paths: 17.Services: 18.Type: RAC 19.Database is administrator managed

Statement

The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Explain the role of InnoDB redo logs and undo logs.Apr 15, 2025 am 12:16 AM

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.

What are the key metrics to look for in an EXPLAIN output (type, key, rows, Extra)?Apr 15, 2025 am 12:15 AM

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.

What is the Using temporary status in EXPLAIN and how to avoid it?Apr 15, 2025 am 12:14 AM

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

Describe the different SQL transaction isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable) and their implications in MySQL/InnoDB.Apr 15, 2025 am 12:11 AM

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL vs. Other Databases: Comparing the OptionsApr 15, 2025 am 12:08 AM

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

How does MySQL index cardinality affect query performance?Apr 14, 2025 am 12:18 AM

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

MySQL: Resources and Tutorials for New UsersApr 14, 2025 am 12:16 AM

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

Real-World MySQL: Examples and Use CasesApr 14, 2025 am 12:15 AM

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

See all articles