Besides multithreading, it is possible to achieve concurrency and parallelism with Reactor Core. This recipe is still about Scheduler but in parallel mode. The clear concept of parallelism is all about having these n operations distributed to m workers that are executed independently of each other. This recipe will utilize Schedulers to enable parallelism in Reactive Streams.
- Preface
- Getting Started with Spring
- Installing Java Development Kit 1.8
- Installing Tomcat 9 and configuring HTTP/2
- Installing STS Eclipse 3.8 IDE
- Creating Eclipse projects using Maven
- Creating Spring STS Eclipse projects using Gradle
- Deploying Spring projects using Maven
- Deploying Spring projects using Gradle
- Installing the MySQL 5.7 database server
- Installing the MongoDB 3.2 database server
- Learning Dependency Injection (DI)
- Implementing a Spring container using XML
- Implementing a Spring container using JavaConfig
- Managing beans in an XML-based container
- Managing beans in the JavaConfig container
- Creating Singleton and Prototype beans
- Defining eager and lazy spring beans
- Creating an inner bean
- Injecting Collections and Properties
- Creating a Spring MVC using an XML-based approach
- Creating a Spring MVC using the JavaConfig approach
- Generating multiple ApplicationContexts
- Using ResourceBundleMessageSource for Views
- Implementing MVC Design Patterns
- Creating the simple @Controller
- Creating a simple @Controller with method-level URL mapping
- Designing a simple form @Controller
- Creating a multi-action @Controller
- Form validation and parameter type conversion
- Creating request- and session-scoped beans
- Implementing page redirection and Flash-scoped beans
- Creating database connection pooling
- Implementing the DAO layer using the Spring JDBC Framework
- Creating a service layer in an MVC application
- Securing Spring MVC Applications
- Configuring Spring Security 4.2.2
- Mapping sessions to channels and ports
- Customizing the authentication process
- Implementing authentication filters, login success, and failure handlers
- Creating user details
- Generating encrypted passwords
- Applying Security to MVC methods
- Creating roles and permissions from the database
- Managing and storing sessions
- Solving Cross-Site Request Forgery (CSRF) and session fixation attacks
- Solving Cross-Site Scripting (XSS) and clickjacking attacks
- Creating interceptors for login data validation
- Cross-Cutting the MVC
- Logging and auditing service methods
- Managing DAO transactions
- Monitoring services and request handlers
- Validating parameters and arguments
- Managing exceptions
- Implementing the caching mechanism
- Intercepting request transactions
- Implementing user authentication
- Accessing with restrictions
- Controlling concurrent user access
- Implementing a mini-workflow using AOP
- Functional Programming
- Implementing lambda expressions using anonymous inner classes
- Implementing lambda expression using @FunctionInterface
- Applying the built-in functional interfaces
- Applying method and constructor references
- Using the Stream API
- Applying streams to collections
- Applying streams to NIO 2.0
- Using parallel streams
- Reactive Programming
- Applying the observer design pattern using Reactive Streams
- Creating Mono<T> and Flux<T> publishers
- Implementing the Subscriber<T> interface
- Applying backpressure to Mono<T> and Flux<T>
- Managing task executions using Schedulers
- Creating concurrent and parallel emissions
- Managing continuous data emission
- Implementing Stream manipulation and transformation
- Testing Reactive data transactions
- Implementing Reactive events using RxJava 2.x
- Reactive Web Applications
- Configuring the TaskExecutor
- Implementing @Async services
- Creating asynchronous controllers
- Creating @Scheduled services
- Using Future<T> and CallableFuture<T>
- Using Mono<T> and Flux<T> publishers for services
- Creating Mono<T> and Flux<T> HTTP response
- Integrating RxJava 2.0
- Using FreeMarker to render Publisher<T> stream
- Using Thymeleaf to render a Publisher<T> stream
- Applying security on TaskExecutors
- Spring Boot 2.0
- Building a non-reactive Spring MVC application
- Configuring Logging
- Adding JDBC Connectivity
- Building a reactive Spring MVC application
- Configuring Spring Security 5.x
- Using reactive view resolvers
- Using RouterFunction and HandlerFunction
- Implementing Spring Data with JPA
- Implementing REST services using @RestController and Spring REST
- Applying Spring Cache
- The Microservices
- Exposing RESTful services in Spring 5
- Using the actuator REST endpoints
- Building a client-side application with RestTemplate, AsyncRestTemplate and, WebClient
- Configuring the Eureka server for service registration
- Implementing the Eureka service discovery and client-side load balancing
- Applying resiliency to client applications
- Consuming endpoints using a declarative method
- Using Docker for deployment
- Batch and Message-Driven Processes
- Building synchronous batch processes
- Implementing batch processes with a database
- Constructing asynchronous batch processes
- Building synchronous interprocess communication using AMQP
- Creating asynchronous send-receive communication
- Creating an event-driven asynchronous communication using AMQP
- Creating stream communication with Spring Cloud Stream
- Implementing batch processes using Spring Cloud Task
- Other Spring 5 Features
- Using Hibernate 5 object-relational mapping
- Applying Hazelcast distributed caching
- Building client-server communications with WebSocket
- Implementing Reactive WebSocket communication
- Implementing asynchronous Spring Data JPA properties
- Implementing Reactive Spring Data JPA repositories
- Using Spring Data MongoDB
- Building applications for big data storage
- Building a Spring 5 application using Kotlin
- Testing Spring 5 Components
- Creating tests for Spring MVC components
- Building standalone controller tests
- Creating tests for DAO and service layers
- Creating tests on secured applications
- Creating tests using Spring Boot 2.0
- Creating tests for Spring Data JPA
- Building tests for blocking, asynchronous and reactive RESTful services
- Building tests for Kotlin components
Creating concurrent and parallel emissions
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