


Both data types store data in the format "YYYY-MM-DD HH:MM:SS" and include date and time. Despite these similarities, they have the following differences -
- Range - The datetime data type supports dates and times between 1000 - 01-01 00:00 :00 and 9999-12-31 23:59:59. However, the timestamp data type supports dates and times between "1970-01-01 00:00:01" and "2038-01-19 08:44:07".
- Size - Datetime requires 5 bytes plus 3 additional bytes for fractional seconds data storage. On the other hand, the timestamp data type requires 4 bytes plus 3 additional bytes for fractional seconds data storage. But prior to MySQL 5.6.4, DateTime required 8 bytes plus 3 additional bytes for fractional seconds data storage.
- Conversion from one time zone to another - Actually in MySQL5, timestamp values are converted from current time to UTC and vice versa, while datetime does not undergo any conversion.
- Indexing - Timestamp data can be indexed, but datetime data cannot.
- Indexing - Timestamp data can be indexed, but datetime data cannot. li>
- Query Cache - Queries of timestamp data type can be cached, but queries of date and time data type cannot be cached.
Above are some of the major differences between DATETIME and TIMESTAMP data types, the following example will demonstrate it -
Example
mysql> Create table test_datetime(time DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP); Query OK, 0 rows affected (0.44 sec) mysql> INSERT INTO test_datetime (time) values (CURRENT_TIMESTAMP); Query OK, 1 row affected (0.04 sec) mysql> Select * from test_datetime; +---------------------+ | time | +---------------------+ | 2017-11-14 17:29:03 | +---------------------+ 1 row in set (0.00 sec) mysql> Create table test_timestamp(time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP); Query OK, 0 rows affected (0.64 sec) mysql> INSERT INTO test_timestamp (time) values (CURRENT_TIMESTAMP); Query OK, 1 row affected (0.06 sec) mysql> Select * from test_timestamp; +---------------------+ | time | +---------------------+ | 2017-11-14 17:29:50 | +---------------------+ 1 row in set (0.00 sec)
Now, in the following query, We have changed the time zone to UTC-05:00 and the results for tables with TIMESTAMP data type have also changed.
mysql> SET @@session.time_zone = '-5:00'; Query OK, 0 rows affected (0.00 sec) mysql> Select * from test_timestamp; +---------------------+ | time | +---------------------+ | 2017-11-14 06:59:50 | +---------------------+ 1 row in set (0.00 sec)
Output
mysql> Select * from test_datetime; +---------------------+ | time | +---------------------+ | 2017-11-14 17:29:03 | +---------------------+ 1 row in set (0.00 sec)
The above is the detailed content of What is the difference between the MySQL DATETIME and TIMESTAMP data types?. 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

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

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.

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

SublimeText3 Linux new version
SublimeText3 Linux latest version

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft
