Both AGE() and DATE_DIFF() are DuckDB functions used to calculate time differences, but they serve distinct purposes and exhibit different behaviors that are important to understand when working with temporal data.
This article explores the difference between these two functions.
Continue readingIn DuckDB, the make_date() function enables us to create date values from individual year, month, and day components. This function is particularly useful when working with data that stores date components separately or when constructing date values programmatically.
In DuckDB, the strftime() function is a handy tool for formatting date and timestamp values as strings. It accepts the date/timestamp value and a format string as arguments. The function then returns the date/time in the format provided by the format string.
When working with dates in DuckDB, extracting specific components like the day is a common task. DuckDB provides a good range of functions that we can use to help us to perform such a task.
This article presents seven different functions we can use to extract the day from a date in DuckDB.
Continue readingDuckDB has a date_add() function, which allows us to add a specified time interval to a date or timestamp. This article looks at how the date_add() function works in DuckDB, including its syntax, usage, and examples.
DuckDB is an in-process SQL OLAP database management system designed for analytical workloads. It is known for its speed, efficiency, and ease of use. One of the many functions DuckDB provides is current_date, which is useful for working with date-related data.
In this article, we’ll look at how the current_date function works, along with some straightforward examples.
PostgreSQL 16 introduced the date_subtract() function that allows us to subtract an interval from a timestamp with time zone.
It computes times of day and daylight-savings adjustments according to the time zone named by the third argument, or the current TimeZone setting if that is omitted.
PostgreSQL 16 introduced the date_add() function that allows us to add an interval to a timestamp with time zone.
It computes times of day and daylight-savings adjustments according to the time zone named by the third argument, or the current TimeZone setting if that is omitted.
The release of SQL Server 2022 came with the introduction of the DATE_BUCKET() function.
The DATE_BUCKET() function allows us to arrange data into groups that represent fixed intervals of time. It returns the date/time value that corresponds to the start of each date/time bucket, as defined by the arguments passed to the function.
In SQL Server, we can use the DATETRUNC() function to truncate a date/time value to a specified precision.
For example, we could use it to truncate a date value like 2024-10-25 to 2024-01-01, or a time value like 10:35:12 to 10:00:00.
The DATETRUNC() function was introduced in SQL Server 2022Â (16.x).