


How to Correctly Insert Dates from jQuery DatePicker into a MySQL Database Using PHP?
Incorrect Date Format for PHP MySQL Insert
When using jQuery's datepicker to input dates into a database using PHP's mysql_query function, it's crucial to ensure that the date format follows MySQL conventions.
MySQL Date Formats
As outlined in the MySQL documentation, valid date formats for insertion into a MySQL database include:
- 'YYYY-MM-DD' or 'YY-MM-DD' with or without delimiters
- 'YYYYMMDD' or 'YYMMDD' in a numeric format
- A UNIX timestamp passed to MySQL's FROM_UNIXTIME() function
Error with '08/25/2012' Date
In the given code, the datepicker is set to the format '08/25/2012', which is not recognized by MySQL as a valid date literal. This results in the insertion of only '0000-00-00 00 00 00' into the database.
Solutions
To rectify this issue, you have several options:
- Configure Datepicker: Set Datepicker to provide dates in a supported format using the altField and altFormat options.
- Use STR_TO_DATE Function: Convert the jQuery date string using MySQL's STR_TO_DATE() function.
- Convert Date in PHP: Manually convert the string into a valid date within PHP using, for example, a DateTime object.
- Parse Date Manually: Divide the date string into its components and assemble it into a valid MySQL format.
SQL Injection Vulnerability
It's important to note that the provided PHP code is vulnerable to SQL injection. Consider utilizing prepared statements to prevent this security risk.
Deprecated mysql_* Functions
Additionally, the mysql_* functions are deprecated in PHP and are recommended to be replaced with either mysqli or PDO_MySQL extensions.
Consider DATE Type
Finally, consider using the MySQL DATE type instead of DATETIME or TIMESTAMP columns for storing date values without time components.
The above is the detailed content of How to Correctly Insert Dates from jQuery DatePicker into a MySQL Database Using PHP?. For more information, please follow other related articles on the PHP Chinese website!

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

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 main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

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.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance 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 basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA

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.
