How to fix incorrect datetime value when inserting into MySQL table?
To avoid the incorrect datetime value error, you can use the STR_TO_DATE() method.
As we know the datetime format is YYYY-MM-DD and if you won't insert in the same format, the error would get generated.
Let us see what actually lead to this error. For this, let us create a new table. The query to create a table is as follows
mysql> create table CorrectDatetimeDemo - > ( - > Id int NOT NULL AUTO_INCREMENT PRIMARY KEY, - > ArrivalTime datetime - > ); Query OK, 0 rows affected (0.63 sec)
The occurs when we try to include a date with an incorrect datetime format
mysql> insert into CorrectDatetimeDemo(ArrivalTime) values('18/02/2019 11:15:45'); ERROR 1292 (22007): Incorrect datetime value: '18/02/2019 11:15:45' for column 'ArrivalTime' at row 1
To avoid the above error, you can use STR_TO_DATE().
The syntax is as follows
INSERT INTO yourTableName(yourDateTimeColumnName) VALUES (STR_TO_DATE('yourDateTimeValue','%d/%m/%Y %H:%i:%s'));
Now, let us insert the datetime again with the correct format as shown in the above syntax.
The query is as follows
mysql> insert into CorrectDatetimeDemo(ArrivalTime) values(STR_TO_DATE('18/02/2019 11:15:45','%d/%m/%Y %H:%i:%s')); Query OK, 1 row affected (0.21 sec) mysql> insert into CorrectDatetimeDemo(ArrivalTime) values(STR_TO_DATE('15/01/2017 10:10:15','%d/%m/%Y %H:%i:%s')); Query OK, 1 row affected (0.16 sec) mysql> insert into CorrectDatetimeDemo(ArrivalTime) values(STR_TO_DATE('12/04/2016 15:30:35','%d/%m/%Y %H:%i:%s')); Query OK, 1 row affected (0.20 sec)
Use the select statement to display all records in the table.
The query is as follows
mysql> select *from CorrectDatetimeDemo;
The following is the output result
+----+---------------------+ | Id | ArrivalTime | +----+---------------------+ | 1 | 2019-02-18 11:15:45 | | 2 | 2017-01-15 10:10:15 | | 3 | 2016-04-12 15:30:35 | +----+---------------------+ 3 rows in set (0.00 sec)
The above is the detailed content of How to fix incorrect datetime value when inserting into MySQL table?. 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

AI Hentai Generator
Generate AI Hentai for free.

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 article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.
