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.
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.
If you’re getting an error that reads something like “Binder Error: Cannot mix values of type …etc” when using the COALESCE() function in DuckDB, it’s probably because you’re using arguments with incompatible types.
To fix this issue, try using CAST() or TRY_CAST() to ensure that all arguments are compatible. Alternatively, make sure the arguments to COALESCE() are of the same type (or at least, compatible types).
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
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.
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.
In SQL Server, Common Table Expressions (CTEs) are often used for readability and simplifying complex queries. While CTEs are most commonly used when running a SELECT query, we can also use CTEs to perform updates with the UPDATE statement. This can be useful when we need to reference the same set of data multiple times or want to update records conditionally.
array_agg() is an aggregate function in DuckDB that allows you to combine values from multiple rows into a list. This article explores how array_agg() works, along with some examples that demonstrate its usage.
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.
This article demonstrates how to output your DuckDB query results in LaTeX table format, which can be useful when preparing academic papers, technical documents, or any content that needs to be typeset using LaTeX.
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