Aggregation: Performs a calculation on a set of values and returns a single value
API: Application Programming Interface - a software intermediary that allows two applications to talk to each other.
App: The building block that gets deployed in the client application. It covers all the functionalities to be implemented using Hypi.
Authentication: Verifies the identity of a user.
Authorisation Token: Issued by the server to authenticate requests from the client
Authorisation: Process of specifying access/ rights/ privileges to various resources. It provides information security and computer security to systems.
CRUD: Commonly used for Create, Read, Update, Delete operations
Dependency: A set of dependent programs that an application relies on
Directive: Decorates part of a GraphQL schema or operation with additional configuration
Endpoint: A URL that represents an object or collection of objects within the domain.
Environment: A system that provides support for the development, repair, and enhancement of software
GraphQL: A query language for APIs and a runtime for fulfilling those queries with the existing data
Groovy: Java-syntax-compatible object-oriented programming language for the Java platform. It is both a static and dynamic language with features similar to those of Python, Ruby, and Smalltalk.
HTTP header: Contains information about the HTTP request context so that the server can tailor the response.
hypi.id: Unique identification of an object of any type.
Instance: An isolated copy of the app. Data created in one instance is not accessible by default from another instance. A release may have one or more instances.
Interface: An abstract type with common declared fields. Any type that implements an interface must define all the fields with names and types exactly matching
Mutation: Operation to create, update, or delete data from the database
Object: The most basic components of a GraphQL schema. It contains a collection of fields of different types.
Query: Retrieve data from the database
Reference: Shares data among various data types
Release: Represents the version of the app. Different releases can be created for various stages of the Software Development Life Cycle.
Schema: The way of defining a data model using Graph QL. Different tables, objects can be added to the schema.
Serverless function: Single purpose, programmatic functions that are hosted by cloud computing platforms.
Subscription: Creates access to any field of the data type and monitors the data insertion operation to the field.
Trigger: Function that is executed before or after an event has happened.
type: Represents a table-like structure
User Defined Function: Way to implement custom behavior outside of available APIs
Velocity: Java-based templating engine
Workflow: Handles sequential events.