Spring Batch  – Coming soon.. 

Phase 1: Fundamentals of Batch Processing

Learn the foundational concepts and need for batch processing systems.

1.1 Introduction to Batch Processing

• 1.1.1 What is Batch Processing?

• 1.1.2 Batch vs Real-time Processing

• 1.1.3 Use Cases for Batch Jobs

• 1.1.4 Challenges in Batch Processing

• 1.1.5 Key Terminologies (Job, Step, Chunk, Reader, Writer, Processor)

1.2 Overview of Spring Batch

• 1.2.1 What is Spring Batch?

• 1.2.2 Spring Batch Architecture

• 1.2.3 Spring Batch Components and Workflow

• 1.2.4 Integration with Spring Boot

• 1.2.5 Spring Batch vs Quartz vs Spring Scheduler

 Phase 2: Setting Up Spring Batch with Spring Boot

2.1 Spring Boot Project Setup

• 2.1.1 Creating a Spring Boot Application

• 2.1.2 Adding Spring Batch Dependencies (Maven/Gradle)

• 2.1.3 Spring Boot Starter for Batch

• 2.1.4 application.yml vs application.properties

• 2.1.5 Common Config Properties (Job Repository, DataSource)

2.2 Spring Batch Configuration

• 2.2.1 Java-based Configuration vs XML

• 2.2.2 Enabling Batch in Spring Boot

• 2.2.3 Defining Beans: Job, Step, Tasklet, JobLauncher

• 2.2.4 Customizing JobRepository, JobLauncher

• 2.2.5 Configuring Embedded or External DB (H2/MySQL/PostgreSQL)

Phase 3: Core Components – Job, Step, Reader, Processor, Writer

3.1 Job and Step

• 3.1.1 Defining a Job

• 3.1.2 Defining Steps in a Job

• 3.1.3 JobExecution, StepExecution

• 3.1.4 JobInstance vs JobExecution

• 3.1.5 JobParameters and JobIncrementers

3.2 Tasklet-based Step

• 3.2.1 What is a Tasklet?

• 3.2.2 Creating Custom Tasklet

• 3.2.3 Single-step Tasklet Job

• 3.2.4 ExitStatus and RepeatStatus

• 3.2.5 Chaining Multiple Tasklet Steps

3.3 Chunk-oriented Step

• 3.3.1 Chunk Processing Overview

• 3.3.2 Configuring ItemReader, ItemProcessor, ItemWriter

• 3.3.3 Chunk Size Configuration

• 3.3.4 Commit Interval and Transactions

• 3.3.5 Exception Handling in Chunks

Phase 4: Readers and Writers (I/O Handling)

4.1 Flat File Readers and Writers

• 4.1.1 FlatFileItemReader

• 4.1.2 FlatFileItemWriter

• 4.1.3 Reading CSV and TXT Files

• 4.1.4 LineMapper and FieldSetMapper

• 4.1.5 Writing to CSV Files

4.2 JDBC Readers and Writers

• 4.2.1 JdbcCursorItemReader

• 4.2.2 JdbcPagingItemReader

• 4.2.3 JdbcBatchItemWriter

• 4.2.4 SQL Parameters and RowMapper

• 4.2.5 Transactions with JDBC Writers

4.3 JSON/XML Readers and Writers

• 4.3.1 StaxEventItemReader for XML

• 4.3.2 JacksonJsonItemReader

• 4.3.3 JSON to POJO Mapping

• 4.3.4 Writing to XML/JSON

• 4.3.5 Handling Nested Data

 Phase 5: ItemProcessor – Data Transformation

5.1 Using ItemProcessor

• 5.1.1 Purpose of ItemProcessor

• 5.1.2 Simple Transformation Example

• 5.1.3 Validations in Processor

• 5.1.4 Filtering Items (Returning null)

• 5.1.5 Conditional Logic in Processor

Phase 6: Advanced Job Flow Control

6.1 Controlling Job Flow

• 6.1.1 JobExecutionDecider

• 6.1.2 Conditional Steps

• 6.1.3 Restart and Resume Jobs

• 6.1.4 JobParametersIncrementer

• 6.1.5 Job Scoping (JobScope, StepScope)

6.2 Parallel Processing & Partitioning

• 6.2.1 Multi-threaded Step

• 6.2.2 Parallel Steps

• 6.2.3 Step Partitioning

• 6.2.4 Remote Partitioning (Message Broker)

• 6.2.5 Scaling Batch Jobs

Phase 7: Error Handling, Retry, and Skipping

7.1 Retry and Skip Logic

• 7.1.1 RetryPolicy Configuration

• 7.1.2 SkipPolicy Configuration

• 7.1.3 SkipListener and RetryListener

• 7.1.4 Fault Tolerance in Steps

• 7.1.5 Handling Data Errors Gracefully

Phase 8: Monitoring, Logging, and Job Repository

8.1 Monitoring and Logging

• 8.1.1 JobRepository Tables Overview

• 8.1.2 JobExplorer and JobOperator

• 8.1.3 Logging Execution Status

• 8.1.4 Spring Boot Actuator Integration

• 8.1.5 Monitoring Tools (Grafana, Prometheus)

 Phase 9: Testing Spring Batch Jobs

9.1 Unit and Integration Testing

• 9.1.1 Testing Tasklets

• 9.1.2 Testing ItemProcessor and Writer

• 9.1.3 Testing with @SpringBatchTest

• 9.1.4 Mocking Readers and Writers

• 9.1.5 Using Embedded H2 for Tests

 Phase 10: Production Readiness & Best Practices

10.1 Best Practices & Deployment

• 10.1.1 Job Scheduling with Spring Scheduler or Quartz

• 10.1.2 External Triggers (REST API, Message Queue)

• 10.1.3 Performance Tuning

• 10.1.4 Exception Handling Strategy

• 10.1.5 Job Parameters Validation

• 10.1.6 Database Locking & Concurrency

• 10.1.7 CI/CD & Dockerization for Batch Jobs

Real-world Projects & Use Cases

11.1 Practical Projects

• 11.1.1 CSV to Database Importer

• 11.1.2 Database to File Exporter

• 11.1.3 Batch Job with API Data Integration

• 11.1.4 Multi-step ETL Job (Extract, Transform, Load)

• 11.1.5 Daily Transaction Summary Generator