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PostgreSQL DATE_TRUNC() Function

Summary: This tutorial shows you how to use the PostgreSQL DATE_TRUNC() function to truncate a timestamp or interval to a specified precision.

Introduction to the PostgreSQL DATE_TRUNC() function

The DATE_TRUNC() function truncates a TIMESTAMP, a TIMESTAMP WITH TIME ZONE, or an  INTERVAL value to a specified precision.

Here’s the basic syntax of the DATE_TRUNC function:

DATE_TRUNC(field, source [,time_zone])

In this syntax:

source

source is a value or an expression of type timestamp, timestamp with time zone, or interval. If you use a value of the date or time type, the function will cast it automatically to timestamp or interval respectively.

field

field specifies the to which precision to truncate the source.

Here are the valid values for the field:

  • millennium
  • century
  • decade
  • year
  • quarter
  • month
  • week
  • day
  • hour
  • minute
  • second
  • milliseconds
  • microseconds

time_zone

time_zone specifies the time zone in which the function will perform the truncation. The time_zone argument is the default.

If you omit the time_zone, the function will truncate the source based on the current time zone setting.

The DATE_TRUNC function returns a TIMESTAMP or an INTERVAL value.

PostgreSQL DATE_TRUNC() function examples

Let’s explore some examples of using the DATE_TRUNC() function.

1) Basic PostgreSQL DATE_TRUNC() function example

The following example uses the DATE_TRUNC() function to truncate a TIMESTAMP value to hour part:

SELECT DATE_TRUNC('hour', TIMESTAMP '2017-03-17 02:09:30');

Output:

date_trunc
---------------------
 2017-03-17 02:00:00
(1 row)

In this example, the DATE_TRUNC() function returns a timestamp with the hour precision.

If you want to truncate a TIMESTAMP value to a minute, you use the 'minute' field as shown in the following example:

SELECT DATE_TRUNC('minute', TIMESTAMP '2017-03-17 02:09:30');

The function returns a TIMESTAMP with the precision is minute:

date_trunc
---------------------
 2017-03-17 02:09:00
(1 row)

2) Using PostgreSQL DATE_TRUNC() function with table data

See the following rental table in the sample database:

Rental table - PostgreSQL date_trunc function demo The following example uses the DATE_TRUNC() function to retrieve the number of rentals by month from the rental table:

SELECT
    DATE_TRUNC('month', rental_date) m,
    COUNT (rental_id)
FROM
    rental
GROUP BY
    m
ORDER BY
    m;

Output:

m          | count
---------------------+-------
 2005-05-01 00:00:00 |  1156
 2005-06-01 00:00:00 |  2311
 2005-07-01 00:00:00 |  6709
 2005-08-01 00:00:00 |  5686
 2006-02-01 00:00:00 |   182
(5 rows)

This query retrieves the month of each rental date and counts the number of rentals each month from the rental table. It then groups the counts by month and sorts the result set by month.

If you want to count the rentals by week, you can pass the week to the DATE_TRUNC() function as follows:

SELECT
    DATE_TRUNC('week', rental_date) week,
    COUNT (rental_id)
FROM
    rental
GROUP BY
    week
ORDER BY
    week;

Output:

week         | count
---------------------+-------
 2005-05-23 00:00:00 |   835
 2005-05-30 00:00:00 |   321
 2005-06-13 00:00:00 |  1705
 2005-06-20 00:00:00 |   606
 2005-07-04 00:00:00 |  2497
 2005-07-11 00:00:00 |   956
 2005-07-25 00:00:00 |  3256
 2005-08-01 00:00:00 |  1314
 2005-08-15 00:00:00 |  3148
 2005-08-22 00:00:00 |  1224
 2006-02-13 00:00:00 |   182
(11 rows)

The following example uses the DATE_TRUNC() function to count the number of rentals by staff per year:

SELECT
	staff_id,
	date_trunc('year', rental_date) y,
	COUNT (rental_id) rental
FROM
	rental
GROUP BY
	staff_id, y
ORDER BY
	staff_id;

Output:

staff_id |          y          | rental
----------+---------------------+--------
        1 | 2006-01-01 00:00:00 |     85
        1 | 2005-01-01 00:00:00 |   7955
        2 | 2006-01-01 00:00:00 |     97
        2 | 2005-01-01 00:00:00 |   7907
(4 rows)

Summary

  • Use the PostgreSQL DATE_TRUNC function to truncate a timestamp or an interval value to a specified level of precision

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