Oracle常见错误诊断
正在看的ORACLE教程是:Oracle常见错误诊断。ORACLE的这类错误在ORALCE的文档中有详细说明,但原因及措施说明不详细,本文当着重说明如何解决这类错误。1、ORA-12571、ORA-03113、ORA-03114、ORA-01041
特征:客户端(代理或应用服务器)有时报这类断连错误
原因:如果偶尔出现一次,则可能为网络原因或用户异常中止,如果经常出现则为客户端与服务端的字符集不一致。
措施:如果偶尔出现,可在服务端的协议配置文件PROTOCOL.ORA中增加一行
TCP.NODELAY=YES;
如果经常出现,则为客户端与服务端字符集不一致或网络原因。
客户端的字符集在里定义: HKEY__LOCAL__MACHINE/SOFTWARE/ORACLE/NLS__LANG
在客户端中的TCP参数项中设置 TCPMAXDATARETRANSMITIONS=20。
2、ORA-01000
特征:达到会话允许的最大游标数
原因:达到会话允许的最大游标数
措施:有两种解决方法:
(1)在初始化文件INIT
(2)在应用级,与开发工具有关,例如设置MAXOPEN_CURSORS等。
3、ORA-01545
特征:某个回滚段不可用
原因:(1)当使回滚段ONLINE时,但回滚段不可用,例如回滚段所在表空间OFFLINE;
(2) 当使回滚段ONLINE时,但回滚段已ONLINE,例如回滚段被使用两次,典型的案例如OPS方式时,回滚段不能公有;
(3)删除回滚段时,回滚段中有活动的事务;
措施:(1)确保回滚段可
(2)从初始化文件INIT
(3)可以将回滚段所在表空间删除,取消UNDO事务
4、ORA-0165x
特征:表空间没有足够的空间供分配
原因:表空间已满;存储参数不合理,NEXT太小;没有连续的区间
措施:如果表空间已满,则需为表空间增加文件;如果存储参数不合理,则需增加INITIAL和NEXT;如果没有连续的区间,需要合并空闲的表空间。
查看空间碎片用DBA_FREE_SPACE
5、ORA-01555
特征:当前会话无法读到以前版本的数据
原因:原因很多,主要原因有下列:回滚段太小、太少;回滚段冲突;交叉提交(FETCH_ACROSS)
措施:增加回滚段数量;
6、ORA-04031
特征:共享池内存区内存不够,或产生内存碎片
原因:当试图装载一个大包时或执行一个较大的存储过程时,而共享池没有连续的内存空间。
措施:如果是内存不够,则增加SHARE)POOL_SIZE;
如果是内存碎片,执行alter system flush share_pool
7、ORA-04091
特征:触发器工作不正常
原因:一个行触发读取或修改变化的表(正在修改、插入)时,产生这种错误。
措施:检查触发器脚本,保证引用完整性
8、ORA-01242、ORA-01113
特征:介质故障导致数据库宕机
原因:介质故障。
措施:检查硬件故障;修改dbshut脚本,将其中的STARTUP命令修改为:
Startup open recover
Alter database open

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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