生成AWR报告时出现ORA-06502
最近在生成一套系统的AWR报告时出现了如下报错:ORA-06502: PL/SQL: numeric or value error: character string buffer too smal
最近在生成一套系统的AWR报告时出现了如下报错:ORA-06502: PL/SQL: numeric or value error: character string buffer too small,然后生成AWR报告的过程就终止了,查看生成的AWR报告,发现报告时不完整的,AWR报告到Complete List of SQL Text部分就结束了,且最后是以一个非常长的sql语句结束的,且这个sql语句还没有显示完整。查看MOS后发现,这是Bug 7833620导致的(参考MOS文章Doc ID 1303342.1),但就为了生成AWR报告去打patch,有点兴师动众了,于是决定想办法绕过这个BUG。
根据上面的分析已经基本清楚,导致AWR报告生成失败的原因就是系统中存在一个特别长的sql。明确了这点,接下来就好办了,生成AWR报告的的sql文本是来自WRH$_SQLTEXT,那只要将这个基表中的sql文本进行截断,应该就能正确的生成AWR报告了。这里说明下,WRH$_SQLTEXT基表保存的是快照期间的sql文本信息,对该表的操作不会影响系统的sql语句运行,但是对基表的操作始终是非常危险的,建议不要直接在生成系统上进行操作,可以将生产的AWR数据导入到测试环境上生成AWR报告。AWR导入/导出具体操作,参看。
WRH$_SQLTEXT基表的结构如下:
保存sql文本的字段为CLOB字段,所以可以采用下面的方法对WRH$_SQLTEXT.SQL_TEXT字段进行截断:
update WRH$_SQLTEXT set sql_text = dbms_lob.substr(sql_text,3000);
commit;
执行完上述操作后,成功生成了AWR报告,但是,过长的sql是被截断的,如果要获得完整的sql,,可以根据AWR报告中的sqlid到系统中进行查找。
更多相关教程请访问 MySQL视频教程

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

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.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

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 suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance 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.
