Quick Overview of the List Operators in DuckDB

DuckDB provides us with a bunch of functions and operators that we can use when working with lists. These include operators for doing things like concatenating lists to performing calculations on the lists. Most of these operators are aliases for a corresponding function, so we can choose which one to use in those cases.

This article provides an overview of the six list operators available in DuckDB, along with basic examples to demonstrate their usage.

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Convert a Table to a JSON Document with JSON_GROUP_OBJECT() in DuckDB

In DuckDB, the json_group_object() function is a convenient way to aggregate data into JSON objects by pairing keys and values across rows within groups.

The function is especially useful when we’re transforming tabular data into a more hierarchical or nested JSON structure for web APIs, reporting, or downstream processing. It helps pivot rows into a single JSON object, making the data more compact and easier to consume in applications that require JSON formats.

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2 Ways to Get the Month Name from a Date in DuckDB

DuckDB offers a pretty good range of functions that enable us to get date parts from date or timestamp value. For example, we can extract the month part from a given date value. In most cases, this will be the month number, for example 08 or just 8.

But sometimes we might want to get the actual month name, like October for example. And other times we might just want the abbreviated month name, like Oct.

Fortunately, DuckDB’s got our back. Here are two ways to return the month name from a date or timestamp value in DuckDB.

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DUCKDB_TABLES() Examples

The duckdb_tables() function is a system function in DuckDB that provides useful metadata about all tables in your database. The function returns a table containing information about each table, including its schema, name, and various properties. It can be quite a handy tool for database introspection and management.

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