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.
Continue readingDuckDB 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.
Continue readingNewline 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.
Continue readingJavaScript 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.
Continue readingJSON (JavaScript Object Notation) has become a ubiquitous data format for storing and exchanging information. SQL Server 2016 and later versions provide robust support for working with JSON data. This article explores some useful tips and tricks for handling JSON in T-SQL.
Continue readingFrom SQL Server 2022 we can use the JSON_PATH_EXISTS() function to test whether a specified SQL/JSON path exists in the input JSON string.
It’s similar to the JSON_CONTAINS_PATH() function that’s available in MySQL and MariaDB.
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.
Continue readingIn SQL Server, we can use the JSON_OBJECT() function to construct JSON object text from zero or more expressions.
The resulting object contains the key/value pairs that we provide as arguments. Providing zero expressions results in an empty object.
Continue readingMySQL 8.0.17 introduced a couple of functions that allow us to validate JSON documents against their schemas. These are listed below, with examples.
Continue readingMySQL provides us with a wide range of functions for working with JSON documents. Below are four MySQL functions that we can use to get information about JSON values.
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