Unraveling the Irrational Aversion to Cursors: The Cursor Dilemma
While it is understandable to choose more efficient set operations over cursors in relational database operations, the extreme aversion to cursors deserves further exploration. This irrational hatred, which often leads to excessive measures to avoid using cursors, raises many questions.
Expense Dilemma
The "overhead" associated with cursors is simply inherent to the Relational Database Management System (RDBMS) API. Cursors are the basis for the operation of various RDBMS internal components. However, using collection-based operators (which bundle cursor results into a single collection) can reduce API back-and-forth interactions.
Limitations of collections
Cursors predate languages with first-class collection support. Lacking such collections, legacy languages process one line at a time. Modern languages overcome this limitation and provide seamless processing of result sets as collections.
Slowing down syndrome
Misuse of cursors, especially in nested loops, can exacerbate performance problems. A misunderstanding of relational joins can lead to the use of inefficient nested loops instead of simple joins, resulting in unacceptably slow operations. However, it is not the cursor itself that causes performance problems, but its improper use.
Scale Barrier
For massive result sets (such as those encountered during table dumps), cursors are still essential because set-based operations have difficulty materializing such large data sets in memory.
Alternative methods
An object-relational mapping (ORM) layer provides a viable solution that protects developers from the complexities of cursor management and decouples SQL from application code. This approach reduces the coding burden associated with cursors without sacrificing performance.
Conclusion
Cursors themselves are not evil and should not replace relational operations, but there is an irrational aversion to cursors that often leads to unnecessary avoidance. Understanding the role of cursors in an RDBMS architecture and the limitations of set-based operations can help eliminate this fear, allowing developers to use cursors effectively when necessary.
The above is the detailed content of Why the Unjustified Cursor Hate?. For more information, please follow other related articles on the PHP Chinese website!

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

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

Dreamweaver Mac version
Visual web development tools

Atom editor mac version download
The most popular open source editor

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