Implementing Device Upgrade Batch Processing with Spring Batch and Quartz

Introduction: The author, a senior architect, describes a recent urgent requirement where a PC web page triggers a device upgrade record, requiring periodic batch updates using Quartz and Spring Batch.

Requirement: The task involves reading pending upgrade tasks from PostgreSQL, dispatching update commands to devices, handling retries, and updating task status.

POM configuration: The Maven pom includes dependencies for spring-boot-starter-web, postgresql, spring-boot-starter-jdbc, spring-boot-starter-batch, and lombok.

application.yaml: Shows datasource settings, batch job enable flag, server port, and custom URLs for upgrade dispatch.

Service implementation: A @Service("batchService") class injects JobLauncher and the updateDeviceJob , builds job parameters, and launches the job.

Batch configuration: A @Configuration class defines the item reader (JdbcCursorItemReader), item writer (custom logic updating database), job and step beans, and a job listener that records execution details and schedules a retry job via Quartz when failures remain.

Processor: The @Component("taskItemProcessor") builds the HTTP request to the device dispatch endpoint, sends it with RestTemplate , and returns a ProcessResult indicating success or failure.

Entity classes: DispatchRequest encapsulates task data and includes a static DispatchRequestRowMapper to map JDBC rows to objects.

Main class: Annotated with @SpringBootApplication and @EnableBatchProcessing to start the Spring Boot application.

Conclusion: The author notes that Spring Batch processes items one by one after reading a chunk, which can be a performance bottleneck, and highlights the importance of custom SQL in ItemReader and ItemWriter. Quartz is used to re‑trigger failed jobs.