本文主要介绍Oracle 10G R2可在Red Hat Enterprise Linux 4环境下的安装。Linux的安装这里就不做过多介绍了(Linux安装可以参考)
Oracle 10G R2可以在以下版本的Linux下安装:
Oracle Enterprise Linux 5 (OEL5)
Oracle Enterprise Linux 4 (OEL4)
Red Hat Enterprise Linux 5 (RHEL5)
Red Hat Enterprise Linux 4 (RHEL4)
Red Hat Enterprise Linux 3 (RHEL3)
Novell SUSE Linux Enterprise Server 10 (SLES10)
Novell SUSE Linux Enterprise Server 9 (SLES9)
Asianux 2.0
Asianux 1.0
本文主要介绍Oracle 10G R2可在Red Hat Enterprise Linux 4环境下的安装。Linux的安装这里就不做过多介绍了(Linux安装可以参考),主要是在选择安装包的时候需要把以下的包给选上,,当然没有选也无所谓,系统装好了的时候可以补。
可通过运行以下命令查看:
内核版本:uname -r
包:rpm -q binutils compat-db control-center gcc gcc-c++ glibc glibc-common /gnome-libs libstdc++ libstdc++-devel make pdksh sysstat xscreensaver libaio openmotif21
2. 硬件要求:Oracle 10G R2对CPU,内存,硬盘等还有一定要求,以目前的计算机配置随便一台都能满足(几十年的老古董除外),这里就不做过多描述了,实在想看的就查阅一下官方文档。接下来就是环境配置了。

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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