In 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.
Tag: aggregate functions
RESERVOIR_QUANTILE() Examples in DuckDB
DuckDB includes a reservoir_quantile() function that allows us to compute approximate quantiles efficiently. It provides the approximate quantile using reservoir sampling. This function can be handy when working with large datasets where exact quantile computation would be too slow or resource-intensive.
In this article, we will explore how the reservoir_quantile() function works, along with examples to demonstrate its usage.
APPROX_QUANTILE() Examples in DuckDB
DuckDB is an in-process SQL OLAP database management system designed for analytical workloads. One of its handy features is the ability to compute approximate quantiles efficiently using the approx_quantile() function. This function is particularly useful when working with large datasets where exact quantile computation would be computationally expensive.
In this article, we will explore how the approx_quantile() function works, its syntax, and provide examples to demonstrate its usage.
Understanding DuckDB’s APPROX_COUNT_DISTINCT() Function
DuckDB is an in-process SQL OLAP database management system designed for fast analytical queries. One of its handy features is the approx_count_distinct() function, which provides an approximate count of distinct values in a column. This function is particularly useful when working with large datasets where an exact count would be computationally expensive.
In this article, we’ll explore how approx_count_distinct() works, its benefits, and how to use it with some simple examples.
Understanding the ARBITRARY() Function in DuckDB
DuckDB is a fast and reliable analytical database that provides us with a wide range of aggregate functions that can help us perform analytical queries. One of these aggregate functions is the ARBITRARY() function, which returns the first value from the group.
In this post, we’ll take a look at how the ARBITRARY() function works in DuckDB
Examples that Demonstrate DuckDB’s MIN() Function
DuckDB has a min() function just like most RDBMSs that returns the minimum value from a set of values. However, DuckDB’s implementation also allows us to return the bottom n minimum values, which is not something we see in most other RDBMSs.
This article presents some examples of DuckDB’s implementation of the min() function, so as to demonstrate its basic usage, as well as its bottom n functionality.
A Quick Look at DuckDB’s MAX() Function
Most RDBMSs have a max() function and DuckDB is no exception. The max() function is a fundamental aggregate function in SQL that returns the maximum value from a set of values.
This article looks at how the max() function works in DuckDB, along with some simple examples to demonstrate.
Simple BIT_XOR() Examples in DuckDB
In DuckDB, the bit_xor() function returns the bitwise XOR of all bits in a given expression.
Here are some basic examples that demonstrate how the bit_xor() function works in DuckDB.
BOOL_OR() Examples in DuckDB
In DuckDB, the bool_or() aggregate function returns true if any input value is true, otherwise it returns false.
Here are some basic examples that demonstrate how it works.
Continue readingA Quick Look at DuckDB’s BIT_OR() Function
In DuckDB, the bit_or() function returns the bitwise OR of all bits in a given expression.
Let’s see how the bit_or() function works in DuckDB with some basic examples.