#Postgresql jsonb query how to#

Another difference is that json columns will reparse the stored value every time that means that key ordering will be same from the input. It supports indexing, which means you can query any path without a specific index. The first two queries are basically similar to the previous ones and the -> syntax may seem simpler and more pleasant than jsonpath one. jsonb stores a binary representation that avoids reparsing the data structure. '$ ? ($.Item.Name like_regex 'dog' flag 'i' || $.Item.Spec like_regex 'red' flag 'i')') If no existing type suits your purpose you can also implement your own pydantic-compatible types with custom properties and validation. Select items by the value of a first level. Let’s say we have to query a user table with a metadata JSONB column on a PostgreSQL 9.5+ database.

#Postgresql jsonb query how to#

'$ ? ($.Item.Name like_regex 'dog' flag 'i' & $.Item.Spec like_regex 'red' flag 'i')') How to query JSONB, beginner sheet cheat. Alternative queries using the jsonpath may look like this: - #1 Postgres 12 introduces new features implementing the SQL/JSON Path Language. Order by length(content->'Item'->'Name') Where content->'Item'->'Name' ilike '%dog%'Īnd content->'Item'->'Spec' ilike '%red%' You should become familiar with JSON Functions and Operators. It is important to understand the performance difference between using >, -> and -> in the WHERE part of the query.