Optimizing your GraphQL API with Postgres
Blog post from Hasura
This blogpost introduces Postgres and its popular features that can be used to enhance your Hasura GraphQL API. Postgres is a general-purpose object-relational database management system that uses and extends the SQL language, offering advanced data types and performance optimization features. Some key features of Postgres include constraints, views, functions, triggers, and indexes. Constraints ensure data integrity by defining rules for columns in a table, while views simplify complex queries by representing the result of a query to one or more underlying tables. Functions allow customization of database schema with procedural computations and can take arguments, while triggers invoke previously defined Postgres functions before or after specific database events. Indexes increase performance on frequently queried columns by maintaining additional metadata. These features can be used in Hasura to optimize the GraphQL API, improve query performance, and enhance data validation.
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