As the amount of data continues to grow and business needs continue to become more complex, the data types in the database are becoming more and more diverse. In practical applications, we often need to convert between different data types, which inevitably requires the use of some conversion functions.
MySQL is a commonly used relational database management system that provides many built-in data types and conversion functions. This article will introduce the commonly used conversion functions in MySQL to facilitate readers to convert data types in practical applications.
1. Conversion function definition
The conversion function in MySQL is a set of functions that can convert different data types to each other. These functions convert one data type to another.
2. Classification of conversion functions
Conversion functions in MySQL can be divided into the following categories:
- Numerical functions
Commonly used numerical functions in MySQL are ROUND(), TRUNCATE(), CEILING() and FLOOR() etc. These functions convert one numeric data type to another numeric data type. - Character functions
Commonly used character functions in MySQL include CONCAT(), SUBSTRING(), REPLACE() and UPPER(), etc. These functions convert one character data type to another character data type. - Date functions
Commonly used date functions in MySQL include DATE_ADD(), DATE_SUB(), TO_DAYS() and FROM_DAYS(), etc. These functions convert one date data type to another date data type. - Other functions
There are other conversion functions in MySQL, such as IFNULL(), CAST() and CONVERT(), etc. These functions convert one data type to another.
3. Conversion function usage
- ROUND() function: Retain a numeric data with a specified number of decimal places.
SELECT ROUND(123.456,2);
The result is: 123.46
- TRUNCATE() function: Reserve a specified number of digits for a numerical data of decimals without rounding.
SELECT TRUNCATE(123.456,2);
The result is: 123.45
- CEILING() function: Round up a numeric data.
SELECT CEILING(123.456);
The result is: 124
- FLOOR() function: Round down a numeric data.
SELECT FLOOR(123.456);
The result is: 123
- CONCAT() function: combine multiple character data into one string .
SELECT CONCAT('Hello', 'world');
The result is: Helloworld
- SUBSTRING() function: intercept a string part.
SELECT SUBSTRING('Hello world', 1, 5);
The result is: Hello
- REPLACE() function: Replace a string Replaces the specified substring in with another string.
SELECT REPLACE('Hello world', 'world', 'MySQL');
The result is: Hello MySQL
- UPPER() function : Converts all characters in a string to uppercase.
SELECT UPPER('Hello world');
The result is: HELLO WORLD
- DATE_ADD() function: Add to a date type data a time interval.
SELECT DATE_ADD('2021-01-01', INTERVAL 1 YEAR);
The result is: 2022-01-01
- DATE_SUB( ) Function: Subtract a time interval from a date type data.
SELECT DATE_SUB('2021-01-01', INTERVAL 1 YEAR);
The result is: 2020-01-01
- TO_DAYS( ) Function: Convert a date type data into a number of days.
SELECT TO_DAYS('2021-01-01');
The result is: 737791
- FROM_DAYS() function: Convert a number of days to Date type data.
SELECT FROM_DAYS(737791);
The result is: 2021-01-01
- IFNULL() function: If a data value is NULL, then returns another data value.
SELECT IFNULL(NULL, 'MySQL');
The result is: MySQL
- CAST() function: Convert one data type to another A data type.
SELECT CAST('123' AS SIGNED);
The result is: 123
- CONVERT() function: Convert one data type to another A data type.
SELECT CONVERT('123.456', DECIMAL(6,2));
The result is: 123.46
4. Summary
MySQL It provides many built-in conversion functions, which can convert different data types to each other, making it convenient for readers to convert data types in practical applications. Proficient in the usage of these functions can improve our data processing efficiency and improve application performance.
The above is the detailed content of mysql conversion function. 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

SublimeText3 Chinese version
Chinese version, very easy to use

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

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