Introduction to PostgreSQL timestamp Data Type
The timestamp
data type is a commonly used data type in PostgreSQL for storing date and time information. It can accurately represent date and time, including year, month, day, hour, minute, second, and microsecond information.
Syntax
The syntax for the timestamp
data type is as follows:
timestamp [ (p) ] [ without time zone ]
Where p
represents the number of digits after the decimal point, and without time zone
indicates that it does not include timezone information.
Use Cases
The timestamp
data type is very useful in many scenarios, especially when precise storage and retrieval of date and time information are required. It can store year, month, day, hour, minute, second, and microsecond information, and can represent a time range from 4713 BC to 294276 AD. When designing and implementing applications that need to store time information, the timestamp
data type is a very common choice.
Examples
Here are two examples of using the timestamp
data type:
Example 1
Create a table named employee
that includes the employee’s name and hire date:
CREATE TABLE employee (
name VARCHAR(50),
hire_date TIMESTAMP
);
Insert two records into the employee
table:
INSERT INTO employee (name, hire_date)
VALUES
('Alice', '2022-01-01 09:00:00'),
('Bob', '2022-01-02 13:30:00');
Query the records from the employee
table:
SELECT * FROM employee;
The query result is as follows:
name | hire_date
-------+------------------------
Alice | 2022-01-01 09:00:00
Bob | 2022-01-02 13:30:00
(2 rows)
Example 2
Query the current time:
SELECT now();
The query result is as follows:
now
-------------------------------
2023-03-13 08:16:23.424864+00
(1 row)
Conclusion
The timestamp
data type is a commonly used data type in PostgreSQL for storing date and time information. It can accurately represent date and time, including year, month, day, hour, minute, second, and microsecond information. By using the timestamp
data type, it is easy to store and retrieve time information in PostgreSQL. In addition, PostgreSQL also provides many built-in functions for the timestamp
data type, such as extract()
, date_trunc()
, and to_char()
, which can further facilitate the handling of time data. When designing and implementing PostgreSQL databases, using the timestamp
data type is a very common choice.