Index failure will lead to a degradation in query performance, mainly because data updates do not update the index in time. The columns on the index change. The index is marked as unavailable. Index statistics are outdated. Index syntax error. Other factors (such as tablespace corruption or DB instance failure).
Oracle Index Failure Handling
When Oracle index fails, query performance will drop significantly. The main reasons are as follows:
1. Data update does not update the index in time
When the data in the data table is updated, the corresponding index is not updated in time, resulting in inconsistent with the data table, and the index cannot be used during query.
Handling: Use the DDL command to rebuild the index to force Oracle to update the index.
<code class="sql">ALTER INDEX index_name REBUILD;</code>
2. The columns on the index change
If the column data type or length on the index changes, the index will be invalid.
Processing method: Reconstruct the index to reflect the changes in the column.
<code class="sql">ALTER INDEX index_name REBUILD;</code>
3. The index is marked as unavailable
If the index is explicitly marked as unavailable after creation or modification, the index will not be used during querying.
How to handle: Use the ALTER INDEX command to enable indexing.
<code class="sql">ALTER INDEX index_name ENABLE;</code>
4. Index statistics are outdated
Over time, index statistics can become obsolete, causing the optimizer to make incorrect decisions.
Processing: Use the ANALYZE command to update index statistics.
<code class="sql">ANALYZE TABLE table_name COMPUTE STATISTICS;</code>
5. Index syntax error
If there is a syntax error in the creation statement of the index, the index will be invalid.
Processing method: Check and fix the index creation statement.
<code class="sql">CREATE INDEX index_name ON table_name (column_name);</code>
6. Other reasons
In some cases, index failure can be caused by other factors, such as tablespace corruption or database instance failure.
How to deal with it: Troubleshoot a situation-specific situation, such as repairing a damaged tablespace or restarting a database instance.
The above is the detailed content of How to deal with oracle index failure. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

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

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

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

To safely and thoroughly uninstall MySQL and clean all residual files, follow the following steps: 1. Stop MySQL service; 2. Uninstall MySQL packages; 3. Clean configuration files and data directories; 4. Verify that the uninstallation is thorough.

Oracle is not only a database company, but also a leader in cloud computing and ERP systems. 1. Oracle provides comprehensive solutions from database to cloud services and ERP systems. 2. OracleCloud challenges AWS and Azure, providing IaaS, PaaS and SaaS services. 3. Oracle's ERP systems such as E-BusinessSuite and FusionApplications help enterprises optimize operations.

MongoDB is suitable for handling large-scale unstructured data, and Oracle is suitable for enterprise-level applications that require transaction consistency. 1.MongoDB provides flexibility and high performance, suitable for processing user behavior data. 2. Oracle is known for its stability and powerful functions and is suitable for financial systems. 3.MongoDB uses document models, and Oracle uses relational models. 4.MongoDB is suitable for social media applications, while Oracle is suitable for enterprise-level applications.

MongoDB is suitable for unstructured data and high scalability requirements, while Oracle is suitable for scenarios that require strict data consistency. 1.MongoDB flexibly stores data in different structures, suitable for social media and the Internet of Things. 2. Oracle structured data model ensures data integrity and is suitable for financial transactions. 3.MongoDB scales horizontally through shards, and Oracle scales vertically through RAC. 4.MongoDB has low maintenance costs, while Oracle has high maintenance costs but is fully supported.

Abstract of the first paragraph of the article: When choosing software to develop Yi framework applications, multiple factors need to be considered. While native mobile application development tools such as XCode and Android Studio can provide strong control and flexibility, cross-platform frameworks such as React Native and Flutter are becoming increasingly popular with the benefits of being able to deploy to multiple platforms at once. For developers new to mobile development, low-code or no-code platforms such as AppSheet and Glide can quickly and easily build applications. Additionally, cloud service providers such as AWS Amplify and Firebase provide comprehensive tools

The main difference between MySQL and Oracle is licenses, features, and advantages. 1. License: MySQL provides a GPL license for free use, and Oracle adopts a proprietary license, which is expensive. 2. Function: MySQL has simple functions and is suitable for web applications and small and medium-sized enterprises. Oracle has powerful functions and is suitable for large-scale data and complex businesses. 3. Advantages: MySQL is open source free, suitable for startups, and Oracle is reliable in performance, suitable for large enterprises.

The difference between MySQL and Oracle in performance and scalability is: 1. MySQL performs better on small to medium-sized data sets, suitable for fast scaling and efficient reading and writing; 2. Oracle has more advantages in handling large data sets and complex queries, suitable for high availability and complex business logic. MySQL extends through master-slave replication and sharding technologies, while Oracle achieves high availability and scalability through RAC.

MySQL uses GPL and commercial licenses for small and open source projects; Oracle uses commercial licenses for enterprises that require high performance. MySQL's GPL license is free, and commercial licenses require payment; Oracle license fees are calculated based on processors or users, and the cost is relatively high.
