DuckDB has a json_extract_string() function that works similar to json_extract(), except that it returns its result as a string (varchar). The json_extract() function, on the other hand, returns its result as JSON.
The purpose of these two functions is to extract data from a JSON document. We’ll focus on the json_extract_string() function in this article.
DuckDB has a json_extract() function that extracts JSON data from a JSON document. It enables us to get JSON values from within the JSON document, rather than returning the whole document itself. This article takes a quick look at the function along with some examples of usage.
Most DuckDB distributions are shipped with the json extension, which enables us to work with JSON documents. DuckDB provides a bunch of JSON functions, including JSON_EXISTS(). The JSON_EXISTS() function allows us to check whether a specific path exists within a JSON document.
This article explores how this function works, along with examples.
DuckDB’s CLI allows you to output query results in different formats, including NDJSON (Newline Delimited JSON).
NDJSON is similar to JSON, except that with NDJSON, each line contains its own self-contained JSON document.
This article shows you how to check your current output mode, and then change it to NDJSON.
DuckDB is a lightweight, fast database management system designed for analytics and embedded use cases. Its versatility makes it an excellent choice for developers and data analysts.
One useful feature of DuckDB is the ability to output query results in different formats, such as JSON, directly from the command-line interface (CLI). By default, the DuckDB CLI uses the duckbox output mode for query results (which outputs the results in a table-like format), but we can change that.
In this article, we’ll walk through the steps to output query results as JSON when using the DuckDB CLI.
Newline Delimited JSON (NDJSON) is a specialized data format that provides a simple yet powerful way to handle streaming JSON data. While standard JSON is excellent for representing structured data, NDJSON addresses specific use cases where processing large datasets and streaming data is required.
This article takes a quick look at NDJSON and how it differs from regular JSON.
JavaScript Object Notation, commonly known as JSON, is a lightweight, text-based data interchange format that has become one of the most widely used standards for transmitting data across the internet.
Despite its origins in JavaScript, JSON has evolved into a language-independent format, making it an essential tool for developers working with any programming language or platform.
In SQL Server, we can use the JSON_ARRAY() function to construct JSON array text from zero or more expressions.
The resulting array contains the values we provide as arguments. Providing zero expressions results in an empty array.