In-depth understanding of the reasons for Oracle lock tables
In-depth understanding of the reasons for Oracle lock tables requires specific code examples
As the scale of enterprise databases continues to grow and the complexity deepens, the problem of database lock tables has gradually become One of the important challenges that database administrators and developers need to face and solve. In Oracle database, table locking refers to the phenomenon that after a session acquires a lock on a certain table or row, other sessions can no longer perform corresponding operations on the table or row, resulting in concurrent access conflicts and performance degradation.
Oracle database provides multiple types of locks, including row-level locks, table-level locks, etc. According to business needs and concurrent access conditions, it is very important to reasonably select and use locks. In this article, we will deeply understand the reasons why Oracle locks tables, and use specific code examples to demonstrate our analysis and solution to the lock table problem.
1. Analysis of the reasons for locking tables
1.1 Uncommitted transactions or long transactions
A common reason for locking tables is due to uncommitted transactions or the existence of long-running transactions. When a transaction holds a lock while operating a table and does not commit or holds the lock for too long, other sessions will be unable to access the table, causing table lock problems. The following is a sample code:
-- 会话A开启事务并更新表t1 BEGIN UPDATE t1 SET column1 = 'value' WHERE id = 1; -- 未提交事务 END;
1.2 Waiting for resources
Another common reason for locking the table is that the table is locked between sessions due to waiting for resources. For example, if a session already holds a write lock when operating a table, and another session also attempts to write to the same table, there will be a wait for resources, causing a table lock problem. The following is a sample code:
-- 会话A开启事务并更新表t1 BEGIN UPDATE t1 SET column1 = 'value' WHERE id = 1 FOR UPDATE; COMMIT; END; -- 会话B尝试更新表t1 UPDATE t1 SET column1 = 'new_value' WHERE id = 1;
2. Lock table solution
2.1 Submit long transaction
The most effective method for locking table problems caused by uncommitted transactions or long transactions The solution is to submit long transactions in a timely manner and release lock resources. During the development and operation and maintenance process, long transactions must be monitored in a timely manner to avoid occupying database resources for a long time. The following is a sample code:
-- 会话A开启事务并更新表t1 BEGIN UPDATE t1 SET column1 = 'value' WHERE id = 1; COMMIT; END;
2.2 Use appropriate locking levels
For lock table problems caused by waiting for resources, you can consider using different locking levels to reduce the possibility of lock conflicts. For example, you can reduce the lock scope and improve concurrent access performance by setting the transaction isolation level to READ COMMITTED. The following is a sample code:
-- 设置事务隔离级别为READ COMMITTED SET TRANSACTION ISOLATION LEVEL READ COMMITTED;
3. Summary
Through the above analysis and examples, we can have a deep understanding of the reasons and solutions for Oracle lock tables. In actual database applications, attention should be paid to the rational use of locks, avoiding long transactions, selecting appropriate locking levels, etc., to ensure the efficiency and stability of the database. Only through continuous monitoring and optimization can the database lock table problem be effectively solved and the performance and reliability of the system improved.
The above is the detailed content of In-depth understanding of the reasons for Oracle lock tables. For more information, please follow other related articles on the PHP Chinese website!

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

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data 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.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

Zend Studio 13.0.1
Powerful PHP integrated development environment

SublimeText3 English version
Recommended: Win version, supports code prompts!

SublimeText3 Chinese version
Chinese version, very easy to use

Dreamweaver Mac version
Visual web development tools