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