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Introduction PostgreSQL is a powerful open-source relational database management system, developed with many powerful features, high performance and famous for its reliability applied across various diverse projects. The outstanding advantages include: High data integrity and full ACID compliance. Powerful extensibility, allowing users to define their own data types, functions and custom indexes. Support for a wide variety of data types from structured (SQL) to unstructured (JSON/JSONB, XML). A strong development community, continuously updated and optimally secure. Detail Installing PostgreSQL with Docker Explanation of PostgreSQL Operations TOAST Storage Strategies Index How Index and B-Tree Index Work Using Hash Index GIN Index GIN Index with Array GIN Index with TEXT GIN Index with JsonB GiST Index BRIN Index Expression Index NestJS Using Prisma with PostgreSQL in NestJS Guide to Seeding Mock Data for PostgreSQL Using Prisma and Snaplet Seed Seeding bulk records with Snaplet Seed a...

Introduction In this article, we will continue exploring GIN Index with the JsonB data type. JsonB, short for JSON Binary, is a data type developed from the JSON data type and supported by PostgreSQL since version 9.2. The key difference between JSON and JsonB lies in how they are stored. JsonB supports binary storage and resolves the limitations of the JSON data type by optimizing the insert process and supporting indexing. Creating an Index When creating an index for a JsonB column, Postgres supports two strategies as follows: jsonb_ops : This is the default strategy that flattens the JSON to extract independent paths, keys and values to create Entries. For example, if you have a JSON like this: { "shop" : "ShopA" , "products" : [ { "product_name" : "mouse" , "price" : 50 } , { "product_name" : "keyboard" , "price" : 100 } ] } It will create a GIN Index as follows, n...