Let's start with the basics: we need a database with some sort of parsing capabilities for JSON data. Therefore, if you, like me, are always willing to discover new cuisines, take out your chef-investigator hat (a mix of Gordon Ramsay's and Sherlock Holmes's hat) and join me in the search for a good restaurant in our imaginary trip to India! Deploy a PostgreSQL ® instance This blog post goes into detail about a few jsonb functions (with the json version being really similar without the b ending), by using a dataset containing restaurant information. The first one validates that the content is in JSON format and stores it as string, the second is a binary representation optimised for faster processing and better indexing. PostgreSQL actually offers two options in this space, json and jsonb. To enable some sort of flexibility, modern databases like PostgreSQL® started adding semistructured column options JSON, where only a formal check on the shape of the data is done. This strict data structure definition helped keeping datasets in order by verifying data types, referential integrity, and additional business conditions using dedicated constraints.īut sometimes life can't be predicted, and data can take different shapes. The original idea behind relational databases was "structure, then data": you needed to define what the data looked like before being able to insert any content. Analyse Indian restaurant reviews using PostgreSQL ® JSON functions
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