关于Oracle的ORA-00607和ORA-00600错误解决方法
关于Oracle的ORA-00607和ORA-00600错误解决方法
前些天Oracle数据库服务器出现了一下错误:
SQL*Loader-961: 对表 table1 调用一次/加载完成时出错
ORA-00607: Internal error occurred while making a change to a data block
ORA-00600: internal error code, arguments: [kddummy_blkchk], [8], [565129], [18021], [], [], [], []
SQL*Loader-2026: 加载因 SQL 加载程序无法继续而被终止
关于ORA-00600错误描述:
引用
ORA-00600: internal error code, arguments: [string], [string], [string], [string], [string], [string], [string], [string], [string], [string], [string], [string]
Cause: This is the generic internal error number for Oracle program exceptions. It indicates that a process has encountered a low-level, unexpected condition. The first argument is the internal message number. This argument and the database version number are critical in identifying the root cause and the potential impact to your system.
Action: Visit My Oracle Support to access the ORA-00600 Lookup tool (reference Note 600.1) for more information regarding the specific ORA-00600 error encountered. An Incident has been created for this error in the Automatic Diagnostic Repository (ADR). When logging a service request, use the Incident Packaging Service (IPS) from the Support Workbench or the ADR Command Interpreter (ADRCI) to automatically package the relevant trace information (reference My Oracle Support Note 411.1). The following information should also be gathered to help determine the root cause:
- changes leading up to the error
- events or unusual circumstances leading up to the error
- operations attempted prior to the error
- conditions of the operating system and databases at the time of the error Note: The cause of this message may manifest itself as different errors at different times. Be aware of the history of errors that occurred before this internal error.
关于ORA-00607错误描述:
引用
ORA-00607: Internal error occurred while making a change to a data block
Cause: An internal error or memory exception occurred while Oracle was applying redo to a data block.
Action: call Oracle Support

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

AI Hentai Generator
Generate AI Hentai for free.

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 article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Article discusses using foreign keys to represent relationships in databases, focusing on best practices, data integrity, and common pitfalls to avoid.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.
