Master Spring Batch (based on Spring Boot)

Course Curriculum

Chapter 1: Introduction and Setup

Lecture 1: Why should you use Spring Batch?

Lecture 2: Where to find the source code

Lecture 3: Project import explained

Chapter 2: Your first spring batch job

Lecture 1: Hello Spring Batch

Lecture 2: Definition of terms

Lecture 3: The first spring batch application as service

Lecture 4: Uniqueness of parameters

Lecture 5: Auto-Configuration

Lecture 6: Spring initializr

Lecture 7: Multiple job configurations in one application

Chapter 3: Item Reader, Writer, Processor

Lecture 1: Reader / Processor / Writer Introduction

Lecture 2: Implement a reader

Lecture 3: Implement a writer

Lecture 4: Solution to the generics problem

Lecture 5: Implement a processor

Chapter 4: Scopes

Lecture 1: StepScope – Recreate step beans on every job start

Lecture 2: Scoped beans without passing NULL

Lecture 3: StepScope – A closer look

Lecture 4: StepScope & Proxies – How Spring creates Beans on the fly.

Lecture 5: JobScope – Create step beans at runtime

Chapter 5: Chunks

Lecture 1: How the chunk size effects the job processing

Lecture 2: Chunks and parallel processes

Chapter 6: Real life example

Lecture 1: Job components in multiple files

Lecture 2: Test complex jobs with partial mocking

Lecture 3: ItemStreamReader instead of ItemReader

Chapter 7: The data model

Lecture 1: Advantages of the persistent data model

Lecture 2: Schema documentation

Lecture 3: Schema, Scripts and Migration explained

Lecture 4: Unique identifiers and keys

Lecture 5: Log Job Summary with Listener

Lecture 6: Role of the jobrepository

Lecture 7: Store your own information in the data model

Chapter 8: Listener

Lecture 1: A simple job execution listener

Lecture 2: Job execution listener as component

Lecture 3: Thread safety for the job execution listener

Lecture 4: StepExcecutionListener and Tasklet combined

Lecture 5: Listener with Annotations

Chapter 9: Scheduling

Lecture 1: How to schedule jobs

Lecture 2: Advanced scheduling

Chapter 10: Validation and fault tolerance

Lecture 1: A simple parameter validator

Lecture 2: Default parameter validator from spring batch

Lecture 3: Filter values in a processor

Lecture 4: Fault tolerance for certain exceptions

Chapter 11: Practice Project One – A job server for data anonymisation

Lecture 1: Project introduction

Lecture 2: Project setup

Lecture 3: Download and project overview

Lecture 4: Initial configuration of the job

Lecture 5: Implement the first unit test

Lecture 6: Complete the job configuration

Lecture 7: Reader and Writer

Lecture 8: Filter persons with the processor

Lecture 9: Validate parameters

Lecture 10: Upload trigger

Lecture 11: Upload watch alternatives

Lecture 12: JobExecutionListener Part 1

Lecture 13: JobExecutionListener Part 2

Lecture 14: Your task – Anonymize the input data!

Lecture 15: Solution – How the input data is anonymized

Lecture 16: Finish the project and summarize

Chapter 12: Customize step control flow

Lecture 1: How to implement batch flows

Lecture 2: Add custom control parameters to flows

Chapter 13: Practice project two – flight search engine

Lecture 1: Scenario

Lecture 2: Search page Introduction

Lecture 3: Source code

Lecture 4: Import project

Lecture 5: Test for the first special offer

Lecture 6: Your task, implement the provider decider

Lecture 7: Solution for the provider decider

Lecture 8: Create a new flow

Lecture 9: Second task, implement the other special offer

Lecture 10: Fault tolerance

Lecture 11: Parallel flows

Chapter 14: Practice project three – visualize running jobs

Lecture 1: Preview

Lecture 2: Download the source code

Lecture 3: Import project

Lecture 4: List all job definitions

Lecture 5: Instances and executions

Lecture 6: Trigger a job via controller

Lecture 7: Start and stop

Lecture 8: End result