本文主要介绍以静默方式完成Oracle数据库的安装及数据库的创建工作。创建用户,用户组及环境设置等与图形化安装是一样的,静默安装
本文主要介绍以静默方式完成Oracle数据库的安装及数据库的创建工作。创建用户,用户组及环境设置等与图形化安装是一样的,具体设置方式请参考博客:。
静默安装主要分为三个步骤:静默安装oracle软件,静默升级oracle软件,静默创建数据库。首先我们从静默安装oracle软件开始。
一. 静默安装oracle软件
1. 制作静默安装响应文件(OUI方式)
使用OUI录制响应文件,这一步需要使用图形终端,如果目标服务器不支持的话可以在其他服务器上录制,,但要注意相关环境设置要与目标服务器保持一致。使用OUI方式是最简单且不容易出错的,但是当服务器不支持图形终端的时候就显的比较麻烦。OUI方式录制响应文件需要注意:录制过程中选择只安装数据库软件不创建数据库,当安装界面到最后一步是选择cancel。以下是具体命令,OUI操作就不给出了。
[oracle@test database]$ . runInstaller -record -destinationFile /u01/enterprise01.rsp
2. 制作静默安装响应文件(文本编辑方式)
直接编辑的方式操作起来最为简单,当然也比较容易出错,需要对相关的参数有一定的了解,不过在服务器不支持图形终端的时候他的优势就体现出来了,具体参数及其含义参考文件/database/response/enterprise.rsp。以下是一个响应文件的例子,只供参考:
[oracle@test u01]$ vi enterprise01.rsp
RESPONSEFILE_VERSION=2.2.1.0.0
FROM_LOCATION="../stage/products.xml"
ORACLE_HOME="/u01/app/oracle/product/10.2.0/db_1/"
ORACLE_HOME_NAME="OraDb10g_home1"
TOPLEVEL_COMPONENT={"oracle.server","10.2.0.1.0"}
DEINSTALL_LIST={"oracle.server","10.2.0.1.0"}
SHOW_SPLASH_SCREEN=false
SHOW_WELCOME_PAGE=false
SHOW_COMPONENT_LOCATIONS_PAGE=false
SHOW_CUSTOM_TREE_PAGE=false
SHOW_SUMMARY_PAGE=false
SHOW_INSTALL_PROGRESS_PAGE=false
SHOW_REQUIRED_CONFIG_TOOL_PAGE=false
SHOW_CONFIG_TOOL_PAGE=false
SHOW_RELEASE_NOTES=false
SHOW_ROOTSH_CONFIRMATION=false
SHOW_END_SESSION_PAGE=false
SHOW_EXIT_CONFIRMATION=false
NEXT_SESSION=false
NEXT_SESSION_ON_FAIL=false
SHOW_DEINSTALL_CONFIRMATION=false
SHOW_DEINSTALL_PROGRESS=false
ACCEPT_LICENSE_AGREEMENT=true
COMPONENT_LANGUAGES={"en"}
CLUSTER_NODES=
INSTALL_TYPE="EE"
s_nameForDBAGrp=dba
s_nameForOPERGrp=dba
b_oneClick=false
SHOW_DATABASE_CONFIGURATION_PAGE=false
b_createStarterDB=false

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

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 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.

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.

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.

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.


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