Question 1

How do I schedule a job with Sundial in a Spring Boot application?

Accepted Answer

Integrate Sundial by adding it as a Maven dependency, then define jobs using annotations or XML, and start the scheduler in a @PostConstruct method or configuration class. Since it's lightweight, it works well with Spring's lifecycle management.

Question 2

Sundial vs Quartz: which is better for simple projects?

Accepted Answer

Sundial is a stripped-down fork of Quartz, so it's better if you need minimal configuration and a small footprint. Quartz is more suitable for complex features like persistence or clustering, but Sundial wins for hassle-free, in-memory scheduling.

Question 3

Can Sundial handle jobs that need to run on multiple servers?

Accepted Answer

No, Sundial is designed for in-memory scheduling within a single JVM, so it doesn't support distributed or clustered job execution. For multi-server setups, consider Quartz with JDBC job store or other distributed schedulers.

Question 4

How to pass parameters between jobs in Sundial?

Accepted Answer

Use the JobContext with methods like getJobContext().put() or define parameters in jobs.xml or annotations. The README shows examples with jobDataMap for easy key-value storage accessible during job execution.

Question 5

What happens if a Sundial job throws an exception?

Accepted Answer

Exceptions are logged via SLF4J, but the framework doesn't automatically retry or recover failed jobs. You need to implement custom error handling within the job's doRun() method to manage failures.

Question 6

Is Sundial production-ready for high-volume tasks?

Accepted Answer

It can handle moderate loads with configurable thread pools, but lack of persistence and advanced monitoring means it's best for non-critical background tasks where job loss on restart is acceptable.

Sundial

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