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The Applied SQL Data Analytics Workshop - Second Edition

You're reading from  The Applied SQL Data Analytics Workshop - Second Edition

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781800203679
Pages 484 pages
Edition 2nd Edition
Languages
Authors (3):
Matt Goldwasser Matt Goldwasser
Profile icon Matt Goldwasser
Upom Malik Upom Malik
Profile icon Upom Malik
Benjamin Johnston Benjamin Johnston
Profile icon Benjamin Johnston
View More author details

Using JSON Data Types in PostgreSQL

While arrays can be useful for storing a list of values in a single field, sometimes our data structures can be complex. For example, we might want to store multiple values of different types in a single field, and we might want data to be keyed with labels rather than stored sequentially. These are common issues with log-level data, as well as alternative data.

JavaScript Object Notation (JSON) is an open standard text format for storing data of varying complexity. It can be used to represent just about anything. Similar to how a database table has column names, JSON data has keys. We can use JSON to represent a record from our customers database easily by storing column names as keys and row values as values. The row_to_json function transforms rows to JSON:

SELECT row_to_json(c) FROM customers c limit 1;

Here is the output of the preceding query:

Figure 5.11: A row converted to JSON

This is a little hard to read...

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