Storage of Complex Data Objects One of the main advantages of JSON is its ability to represent nearly any kind of object with nesting.One additional benefit with JSON and PostgreSQL is if a particular key always appears in the JSON data, such as an ID or name, it can be parsed and created as a table column to make querying and indexing faster and easier. Flexibility Storing data as JSON is beneficial for when the data schema frequently changes, for example, when using an audit trigger to track changes to a database table made over time or tags that consist of user-defined key/value pairs, and so on.The benefits of storing semi-structured data such as JSON include: The PostgreSQL team’s improvements for working with JSON are meant to help keep PostgreSQL competitive with NoSQL databases. With the rise of the web and the resulting increase in JSON data, document store databases (also known as NoSQL databases) such as MongoDB and Apache Cassandra have become increasingly popular for storing and managing non-relational data. #Postgresql json query array how to#In this post, we will explore how to query JSON data in PostgreSQL and the various JSON data types available, and their pros and cons. In PostgreSQL version 12, the ability to query json and jsonb data types directly using a newly added JSON data type named jsonpath was released, making it even easier to interact with JSON stored in PostgreSQL tables. Support for working with JSON in PostgreSQL has become increasingly powerful since it was first introduced in version 9.2.
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