Learn about the Kafka Schema Registry & REST Proxy Architecture!
This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below,
In part one, we learned the basics of data, database, database management system, and types of DBMS and SQL.
#sql server #benefits of schemas #create schema in sql #database schemas #how to create schema in sql server #schemas #schemas in sql server #sql server schemas #what is schema in sql server
The REST acronym is defined as a “REpresentational State Transfer” and is designed to take advantage of existing HTTP protocols when used for Web APIs. It is very flexible in that it is not tied to resources or methods and has the ability to handle different calls and data formats. Because REST API is not constrained to an XML format like SOAP, it can return multiple other formats depending on what is needed. If a service adheres to this style, it is considered a “RESTful” application. REST allows components to access and manage functions within another application.
REST was initially defined in a dissertation by Roy Fielding’s twenty years ago. He proposed these standards as an alternative to SOAP (The Simple Object Access Protocol is a simple standard for accessing objects and exchanging structured messages within a distributed computing environment). REST (or RESTful) defines the general rules used to regulate the interactions between web apps utilizing the HTTP protocol for CRUD (create, retrieve, update, delete) operations.
An API (or Application Programming Interface) provides a method of interaction between two systems.
A RESTful API (or application program interface) uses HTTP requests to GET, PUT, POST, and DELETE data following the REST standards. This allows two pieces of software to communicate with each other. In essence, REST API is a set of remote calls using standard methods to return data in a specific format.
The systems that interact in this manner can be very different. Each app may use a unique programming language, operating system, database, etc. So, how do we create a system that can easily communicate and understand other apps?? This is where the Rest API is used as an interaction system.
When using a RESTful API, we should determine in advance what resources we want to expose to the outside world. Typically, the RESTful API service is implemented, keeping the following ideas in mind:
The features of the REST API design style state:
For REST to fit this model, we must adhere to the following rules:
#tutorials #api #application #application programming interface #crud #http #json #programming #protocols #representational state transfer #rest #rest api #rest api graphql #rest api json #rest api xml #restful #soap #xml #yaml
Learn about the Kafka Schema Registry & REST Proxy Architecture!
Since Confluent Platform version 5.5, Avro is no longer the only schema in town. Protobuf and JSON schemas are now supported as first-class citizens in Confluent universe. But before I go on explaining how to use Protobuf with Kafka, let’s answer one often-asked question:
When applications communicate through a pub-sub system, they exchange messages and those messages need to be understood and agreed upon by all the participants in the communication. Additionally, you would like to detect and prevent changes to the message format that would make messages unreadable for some of the participants.
That’s where a schema comes in — it represents a contract between the participants in communication, just like an API represents a contract between a service and its consumers. And just as REST APIs can be described using OpenAPI (Swagger) so the messages in Kafka can be described using Avro, Protobuf or Avro schemas.
Schemas describe the structure of the data by:
In addition, together with Schema Registry, schemas prevent a producer from sending poison messages - malformed data that consumers cannot interpret. Schema Registry will detect if breaking changes are about to be introduced by the producer and can be configured to reject such changes. An example of a breaking change would be deleting a mandatory field from the schema.
Similar to Apache Avro, Protobuf is a method of serializing structured data. A message format is defined in a .proto file and you can generate code from it in many languages including Java, Python, C++, C#, Go and Ruby. Unlike Avro, Protobuf does not serialize schema with the message. So, in order to deserialize the message, you need the schema in the consumer.
Here’s an example of a Protobuf schema containing one message type:
#integration #apache kafka #schema #apache kafka tutorial #protobuf
In this tutorial I will show you the fundamentals of designing a RESTful API specification by applying REST principles and best practices, then you’ll be ready to try my online tutorial: How to design a REST API with API Designer?
If you already know what is meant by API in the context of RESTful web services, you can skip to the next section. If not, read on.
The abbreviation API stands for Application Programming Interface this in itself, does not help us understand what it is, however in the context of web services, it can refer to one of two things:
In this post, I will use the first understanding of this term. Even though both are correct, the most technically relevant for this post is the first: an API is a contract for how software applications talk to each other.
The acronym REST stands for REpresentational State Transfer. It is an architectural style used to represent the transmission of data from one application component to another. In the context of web services, we are talking about the representation of resources (i.e. data) transferred over HTTP by calling a URI that represents the data and via an HTTP method that represents the action to perform against the given data.
RESTful API design is the activity of describing the behavior of a web service in terms of its data structures and the actions you allow other application components to perform on its data by the principles of REST. Those principles are covered later in this blog.
Imagine that you are an Architect (the kind the design building) and you set out to build an office block without a blueprint. You turn up on the first day with a truck full of bricks and some cement. What are the chances that you’ll be successful and build a structure that conforms to code and more importantly, doesn’t fall? It’s about zero. Without a blueprint the chance of failure is high.
The same approach applies to web service development. You need a blueprint, or more appropriately, an API specification. This is necessary to evaluate the API design and solicit feedback before even starting to build the implementation.
In addition to providing a specification for the web service’s development, an API contract serves to document its expected behavior, data types, and security requirements.
You should now be satisfied that API design is necessary for a RESTful web service, and should start to wonder how is the best approach to actually designing an API specification.
The tooling chosen by an API designer has substantial influence over the designer’s productivity. Highly productive tools such as the Anypoint API Designer from MuleSoft is perfect for designing APIs with OAS (swagger) or RAML.
#integration #api #rest #rest api #restful #api design #raml #rest api design