In this comprehensive article, I’ll explain everything you need to know about converting a date string into PostgreSQL’s timestamp data type.
PostgreSQL date string to timestamp
Let’s explore the various methods to convert your string dates into proper timestamps.
Approach 1: Using TO_TIMESTAMP() Function
The most common and flexible approach is using PostgreSQL’s built-in TO_TIMESTAMP() function. This function converts a string to a timestamp based on a specified format.
Syntax
TO_TIMESTAMP(string_to_convert, format_mask)
The function takes two parameters:
- The string you want to convert
- A format pattern that tells PostgreSQL how to interpret the string
Example -1
We can execute the following query to convert the YYYYMMDD format.
SELECT TO_TIMESTAMP('20250620', 'YYYYMMDD');
After executing the above query, I got the expected output as shown in the screenshot below.

Example -2
We can execute the below query to convert with time components.
SELECT TO_TIMESTAMP('20201123043000', 'YYYYMMDDHH24MISS');
After executing the above query, I got the expected output as shown in the screenshot below.

Example-3
We can use the following query to convert to US format: MM/DD/YYYY.
SELECT TO_TIMESTAMP('05/20/2025', 'MM/DD/YYYY');
I got the expected output after executing the above query as shown in the screenshot below.

Example-4
We can also use the below query to convert with time: MM/DD/YYYY HH:MI:SS.
SELECT TO_TIMESTAMP('05/20/2025 15:30:45', 'MM/DD/YYYY HH24:MI:SS');
After executing the above query, I got the expected output as shown in the screenshot below.

Example-5
We can execute the below query to convert the US format with the month name: Month DD, YYYY.
SELECT TO_TIMESTAMP('May 20, 2025', 'Month DD, YYYY');
I got the expected output after executing the above query.

The format pattern uses special template patterns like:
- YYYY – 4-digit year
- MM – 2-digit month
- DD – 2-digit day
- HH24 – 24-hour format hours
- MI – minutes
- SS – seconds
Approach 2: Using CAST or Type Coercion
We can use the CAST operator or double-colon syntax for type coercion.
Example-1
We can use the CAST function with the query below.
SELECT CAST('2025-05-20' AS TIMESTAMP);
I got the expected output after executing the above query as shown in the screenshot below.

Example-2
Using the query below, we can use the double-colon syntax (PostgreSQL shorthand).
SELECT '2025-05-20'::TIMESTAMP;
I got the expected output as shown below.

Method 3: Using TO_DATE() and Then Converting
Sometimes, you might want to first convert to a date type and then to a timestamp, especially if you’re only concerned with the date portion initially, using the below query.
SELECT TO_DATE('05/20/2025', 'MM/DD/YYYY')::TIMESTAMP
After executing the above query, I got the expected output as shown in the screenshot below.

Format Pattern Reference Table
Here’s the table of the format patterns you can use with the TO_TIMESTAMP() function:
| Pattern | Description | Example |
|---|---|---|
| YYYY | 4-digit year | 2025 |
| YY | 2-digit year | 25 |
| MM | Month number (01-12) | 05 |
| MON | Abbreviated month name | May |
| MONTH | Full month name | May |
| DD | Day of month (01-31) | 20 |
| HH | Hour (01-12) | 10 |
| HH24 | Hour (00-23) | 22 |
| MI | Minute (00-59) | 45 |
| SS | Second (00-59) | 30 |
| MS | Millisecond | 500 |
| US | Microsecond | 500000 |
| TZ | Time zone abbreviation | EST |
| OF | Time zone offset | -05:00 |
Best Practices
Below are some best practices to follow:
- Always be explicit about formats – Don’t rely on PostgreSQL guessing your date format correctly.
- Use ISO format when possible – The YYYY-MM-DD format is internationally recognized and less prone to ambiguity.
- Handle time zones appropriately – Be explicit about time zones, especially in applications serving users across different regions.
- Validate before converting – When dealing with user input, validate the format before converting.
Conclusion
Converting date strings to timestamps in PostgreSQL is an essential skill you should know as a developer. With the TO_TIMESTAMP() function, type casting, and proper format patterns, you can achieve this using the information mentioned in this article.
I am Bijay having more than 15 years of experience in the Software Industry. During this time, I have worked on MariaDB and used it in a lot of projects. Most of our readers are from the United States, Canada, United Kingdom, Australia, New Zealand, etc.
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