Spring: Spring Batch

Course details

Many enterprises in industries like finance and defense leverage batch jobs to achieve their business outcomes, making it important for developers to have this skill set. Spring Batch is a framework within the popular Spring ecosystem that is used to build batch processing jobs in Java. This course teaches you how to use Spring Batch to create your own batch jobs, complete with their own repositories, logic, and conditions. Instructor Kevin Bowersox covers building jobs, reading job inputs, writing job outputs, processing items, and configuring advanced workflows with listeners and nested jobs. Along the way, you can learn how to restart and skip jobs, add multiple steps, and reuse flows. Plus, learn how to execute jobs from the command line and leverage a scheduler to time job execution.

Topics include:
Batch processing overview
Project setup
Building a batch job
Configuring a job repository
Building conditional job flows
Controlling flow with custom statuses
Using listeners
Reusing flows
Nesting jobs
Reading job input from files
Reading from databases in single and multithread scenarios
Writing job output to files and databases
Processing items
Configuring jobs and steps
Scheduling jobs

Concepts

0. Introduction

01 - Batch processing with Spring Batch
02 - What you should know

1. Getting Started with Spring Batch

03 - Batch processing concepts
04 - Spring Batch overview
05 - MySQL Database installation
06 - Spring Batch project setup
07 - Building a batch job

2. Building Batch Jobs

08 - Spring Batch architecture
09 - Configuring a job repository
10 - Job parameters
11 - Building jobs with multiple steps
12 - Restarting jobs
13 - Job flow
14 - Building conditional flows
15 - Controlling flow with custom statuses
16 - Challenge - Creating a conditional flow
17 - Solution - Creating a conditional flow

3. Advanced Job Flows

18 - Batch status control
19 - Listeners
20 - StepExecutionListener
21 - Reusability in batch jobs
22 - Reusing external flows
23 - Nesting jobs
24 - Parallel flows

4. Reading Job Input

25 - Chunk-oriented processing
26 - ItemReader
27 - Configuring chunk-oriented steps
28 - Reading flat files
29 - Reading from databases in single-thread scenarios
30 - Reading from databases in multithreaded scenarios

5. Writing Job Output

31 - ItemWriter
32 - Writing flat files
33 - Writing to a database with PreparedStatements
34 - Writing to a database with named parameters
35 - Challenge - Writing a JSON file
36 - Solution - Writing a JSON file

6. Processing Items

37 - ItemProcessor
38 - ItemProcessor Bean Validation
39 - Implementing custom processor logic
40 - Chaining ItemProcessors
41 - Challenge - Filtering batch data
42 - Solution - Filtering batch data

7. Resilient Batch Jobs

43 - Skip logic
44 - Configuring jobs for skips
45 - Retry logic
46 - Configuring steps for retries
47 - Multi-threaded steps

8. Operating Jobs

48 - Job operation
49 - Scheduling with Spring
50 - Scheduling jobs

Conclusion

51 - Your next Spring Batch steps