Working with Spring Batch
Course Objectives
Working in a hands-on learning environment, students will explore the Spring framework, with emphasis placed on Spring Batch. Throughout the course students will:
- Understand how to leverage the power of Spring Boot to develop Spring Batch applications
- Use Spring Batch to define batch jobs
- Define the batch workflow
- Understand how Spring Batch manages the state of each job
- Restart Jobs in case of failures during execution
- Schedule Batch Jobs
- Use Spring Cloud Data flow to monitor the batch jobs
- Test the implementation of the Batch process
- Test the implementation of individual steps of a Batch Job
Course Prerequisites
This in an intermediate-level Java development course geared for students experienced with Java and Spring programming essentials. This course does not cover Java or Spring development basics.
Course Agenda
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most.
Session: Spring Batch
Lesson: Introduction to Spring Batch
- Introduction to Batch Processing
- Requirements of Batch processes
- JSR 352 and Spring Batch
- Reader, Writer and Processor interfaces
- Workflow basics
- Spring Batch configuration
- Domain Language of Batch
Lesson: Batch Jobs
- Configuring the Spring Batch runtime (@EnableBatchProcessing)
- Introduce the JobBuilderFactory and StepBuilderFactory
- Overview of Tasklets
- Launching a Job Running Jobs from the commandline
- Lab: Introduction to Spring Batch
- Lab: Running Jobs from the Command line
Lesson: Bootstrapping Spring Batch
- Bootstrapping using Spring Boot
- @EnableBatchProcessing
- Configuring the Batch runtime: BatchConfigurer
- Adding jobs to a registry
- JobOperator
- JobScope and StepScope
- JobParametersValidator
- Running jobs in a web environment, the asynchronous TaskExecutor
- Modular configurations
- Lab: Spring Batch Boot
Lesson: Readers and Writers
- Chunks vs Tasklet
- ItemReader, Processor and Writer
- Exploring the Chunk size
- FlatFileItemReader / FlatFileItemWriter
- Working with XML and JSON
- Processing data stored in relational databases
- Using Spring Data JPA for ItemReader and ItemWriter
- Lab: Spring Batch Steps
- Lab: Spring Batch Processing
Lesson: Chunk Oriented Processing
- Retry and Skip Logic
- SkipPolicy
- RetryPolicy and RetryContext
- Configuring Steps
- Defining Job flows
- Implementing event listeners
- Listener annotations
- Lab: Spring Batch Chunks
Lesson: Scheduling Jobs
- Introduction to Spring Batch scheduling
- Scheduling Jobs from command line
- Scheduling Jobs using Spring Scheduler
- Scheduling Jobs using Quartz
- Lab: Spring Batch Scheduling
Lesson: Spring Cloud Data Flow
- Introduction to Spring Cloud Data Flow
- Spring Cloud Task
- Running the DataFlow Server
- The @EnableTask Annotation
- Registering the task with the server
- Lab: Spring DataFlow Server
Lesson: Batch Unit Testing
- Using JUnit 5 to test Spring Batch Jobs
- The Spring TestContext (@SpringBootTest)
- Integration testing
- Defining DataSource for test
- Populating the DataSource for test
- @SpringBatchTest
- Testing individual steps
- Testing Step-Scoped Components
- Lab: Spring Batch Test
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