Preamble
The current_time function in PostgreSQL returns the current time with the time zone.
Syntax of the current_time function in PostgreSQL
current_time( [ precision ] )
Parameters and function arguments
- It is optional. A number of digits for rounding to fractional seconds.
Note:
- The current_time function will return the current time of day in ‘HH:MM:SS.US+TZ’ format.
- Do not put parentheses () after current_time function if the precision parameter is not specified.
The current_time function can be used in future versions of PostgreSQL
PostgreSQL 11, PostgreSQL 10, PostgreSQL 9.6, PostgreSQL 9.5, PostgreSQL 9.4, PostgreSQL 9.3, PostgreSQL 9.2, PostgreSQL 9.1, PostgreSQL 9.0, PostgreSQL 8.4.
|
Let’s look at some examples of the current_time function to see how to use the current_time function in PostgreSQL.
For example:
SELECT current_time;
--Result: 11:08:46.339427+03:00
SELECT current_time(1);
--Result: 11:09:09.400000+03:00
SELECT current_time(2);
--Result: 11:09:30.580000+03:00
SELECT current_time(3);
--Result: 11:09:51.858000+03:00
Date functions in PostgreSQL, Time functions in PostgreSQL
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
Enteros: Revolutionizing Database Performance Cost Attribution and RevOps in the Education Sector
- 16 January 2025
- Database Performance Management
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Optimizing Database Performance with Enteros: Cloud FinOps Solutions for the Technology Sector
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Enteros: Transforming Performance Monitoring and Cost Estimation for the Healthcare Sector
- 15 January 2025
- Database Performance Management
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Enhancing Database Performance in the Education Sector with Enteros: The Power of Cloud FinOps
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…