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 readingWhen working with SQL databases such as DuckDB, dates usually conform to a specific format. In particular, when we create dates in DuckDB, they must conform to the ISO 8601 format (YYYY-MM-DD). It’s the same with time (hh:mm:ss[.zzzzzz][+-TT[:tt]]) and timestamp values (YYYY-MM-DD hh:mm:ss[.zzzzzzzzz][+-TT[:tt]]).
But what if we have a requirement to present these dates or timestamps in a different format?
Fortunately, DuckDB provides us with tools to so. This article explains how to format date and timestamp values according to a specified format.
Continue readingSometimes we need to subtract a certain time interval from a date when working with DuckDB. We might want to subtract hours, minutes, days, months, or even years.
Below are two methods we can use to subtract one or more years from a date in DuckDB.
Continue readingDuckDB, an in-memory analytical SQL database management system, provides a good selection of functions for data manipulation and analysis. One of the these functions is list().
The list() function enables users to group multiple values into a single list, allowing for more advanced data aggregation and operations.
In this article, we’ll explore how the list() function works, along with some simple examples.
If you’re getting an error that reads “Binder Error: APPROXIMATE QUANTILE can only take parameters in range [0, 1]” in DuckDB, it appears that you’re passing an invalid second argument to the approx_quantile() function.
To fix this issue, make sure the second argument is between 0 and 1.
Continue readingIn DuckDB, we can use functions like strftime() and strptime() to format date or timestamp values. These functions accept a format string that specifies how the date or timestamp should be formatted.
The format string consists of one or more format specifiers. For example, '%d/%m/%Y' is a format string that consists of three format specifiers. The output from that format specifier might look something like 05/09/2050.
DuckDB has a min_by() function that’s similar to the min() function, but with a twist. While the min() function simply returns the minimum value, the min_by() function finds the row with the minimum value in one column and returns the corresponding value from another column at that row.
Here are some examples that demonstrate how it works.
Continue readingIf you find yourself running a lot of ad-hoc queries that start with SELECT * FROM, you might be interested in this interesting feature of DuckDB.
DuckDB allows us to start queries with the FROM clause. When we do this, DuckDB will return all columns without us needing to specify SELECT *.
One common operation you may find yourself doing occasionally in DuckDB is adding intervals to date and/or time values. DuckDB provides us with a couple of easy ways to do this.
Here are two ways to add days to a date in DuckDB.
Continue readingIn SQL databases, COUNT() is a commonly used aggregation function that returns the number of rows in a group. In this article, I run some examples of the COUNT() function in DuckDB. DuckDB is a high-performance analytical database system that’s designed to be fast, reliable, portable, and easy to use.