Spring cloud stream overview
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Spring Cloud Stream is a lightweight framework for building message-driven microservices. It uses Spring Integration and Spring Boot to provide an opinionated runtime for messaging. It supports RabbitMQ, Kafka, and Kinesis for sending and receiving messages without needing broker-specific code. The programming model uses channels for input and output, and interfaces for common patterns - Source produces messages, Processor consumes and produces, and Sink consumes messages.
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The document discusses using the camel-cxf component to create and consume web services with Apache Camel. It describes three approaches for working with SOAP messages: POJO-based using generated Java objects, payload-based working directly with XML payloads, and provider-based. The agenda covers implementing a web service using these approaches with Apache ServiceMix, including code generation, configuration, packaging, and testing. Sample code is provided to demonstrate routing SOAP messages between HTTP, JMS, and generating responses using templates.
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web programming
This document discusses SOAP (Simple Object Access Protocol) and JSON (JavaScript Object Notation). It defines SOAP as an XML-based messaging protocol for exchanging information among computers in a platform-independent manner. The key elements of a SOAP message are described as the envelope, header, body and fault. JSON is defined as a lightweight data interchange format that is easy for humans to read and for machines to parse. Common applications and features of JSON are also outlined.
Web Service
Web services allow programs to communicate over a network. There are two main types: SOAP and REST. SOAP uses XML and HTTP POST, while REST can use HTTP verbs like GET and POST with data formats like JSON or XML. Authentication for web services can be done with basic authentication, tokens, or OAuth. REST follows principles like using resources and URIs, being stateless, and cacheable. SOAP defines an envelope, header, and body for messages in an XML format.
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This document describes a simple Java-based chat application with client-server architecture. It discusses the design of the server and client components. The server uses TCP and threads to handle multiple clients simultaneously. It stores online users in a hashmap and forwards messages between clients. The client uses two threads - one for sending messages to the server and another for receiving messages from the server.
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Spring cloud stream overview
- 1. Messaging with Spring Cloud Stream
- 2. Spring Cloud Stream Spring Cloud Stream is a lightweight message-driven microservices framework based on Spring Integration and Spring Boot, providing the opinionated runtime for easy configuration. It provides a simple declarative model for sending and receiving messages using RabbitMQ ,Apache Kafka or Amazon Kinesis. SCS decouples the messaging between producers and consumers, by creating bindings that can be used out of the box. In other words,we need not add broker- specific code to your application for producing or consuming messages. We just add the required binding dependencies to the application and Spring Cloud Stream will take care of the messaging connectivity and communication
- 3. Spring Cloud Stream Programming Model ● Spring Cloud Stream uses channels (input/output) as a mechanism to send and receive messages. A Spring Cloud Stream application can have any number of channels, and it defines two annotations: @Input on SubscribableChannel class for incoming messages and @Output on MessageChannel class for sending outgoing messages. These classes comes from Spring Integration. ● Instead of using these channels directly , SCS has added three interfaces which is much simplified and covers most common messaging use cases - Source , Processor and SInk
- 4. Spring Cloud Stream Programming Model SCS interfaces involved in publishing and consuming the message ● Source ● Processor ● Sink
- 5. Spring Cloud Stream Concepts ● Source A source is a Spring annotated interface that takes a Plain Old Java Object (POJO) that represents the message to be published. A source takes the message, serializes it (the default serialization is JSON), and publishes the message to a channel. A source is used in an application where you are ingesting data from an external system (by listening into a queue, a REST call, file system,database query, etc.) and sending it through an output channel.
- 6. Spring Cloud Stream Concepts ● Processor Processor is a Spring annotated interface used in an application when you want to start listening from the input channel for new incoming messages, process the message received (enhancements, transformations, etc.), and send a new message to the output channel.
- 7. Spring Cloud Stream Concepts ● Sink A sink listens to a channel for incoming messages and de-serializes the message back into a plain old Java object. From there, the message can be processed by the business logic of the service or end the flow (saving data, firing a task, logging into the console, etc.).
- 8. Source to Sink Model
- 9. Source to Processor to Sink Model
- 10. Source to Processor to Sink Model