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title: MongoDB-backed Spring Batch Job Repositories (new in...
description: Spring Boot 4.1 introduces auto-configuration for MongoDB-backed Spring Batch job repositories, replacing the traditional SQL-only approach for storing batch...
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# MongoDB-backed Spring Batch Job Repositories (new in Spring Boot 4.1)

**[Coffee \+ Software](https://daily.dev/sources/coffee-software)** · 25 min read · 4 upvotes · 0 comments

## Summary

Spring Boot 4.1 introduces auto-configuration for MongoDB-backed Spring Batch job repositories, replacing the traditional SQL-only approach for storing batch state. The tutorial walks through building a complete Spring Batch application that reads from a CSV file, writes to PostgreSQL, and stores all job execution metadata in MongoDB. Key concepts covered include chunk-oriented processing, tasklets, step qualifiers, fault tolerance with skip/retry, observability via OpenTelemetry and Actuator, virtual threads for IO-heavy workloads, GraalVM native image compilation with AOT hints, and remote chunking for distributed batch processing.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=wNHb6gvvtO4>

## Questions this post answers

### How do I configure Spring Batch to use MongoDB instead of a SQL database for its job repository in Spring Boot 4.1?

Spring Boot 4.1 ships auto-configuration and a starter (spring-batch-mongodb dependency) that lets Spring Batch store its job repository state in MongoDB rather than SQL, since the repository was decoupled from persistence a year and a half to two years earlier in Spring Batch itself. You configure the MongoDB connection properties and tell Spring Batch to initialize its schema against MongoDB, while your actual business data can still live in a separate SQL database like Postgres. MongoDB also supports transactions, so bookkeeping integrity is preserved.

_Developers wiring up Spring Batch on Spring Boot 4.1 track configuration changes like this on daily.dev._

### Why would I move Spring Batch job repository state from SQL to MongoDB?

Moving job repository bookkeeping to MongoDB offloads the extra writes Spring Batch performs for auditing and state tracking away from the same SQL database that holds your actual business data, effectively splitting the load between two databases instead of doubling work on one. This is a clear win when your business data and batch state previously shared the same SQL database, since MongoDB handles that bookkeeping load well and still supports transactions for data integrity.

_Teams weighing database choices for batch job state can compare trade-offs like this on daily.dev._

### Does Spring Batch work with GraalVM native image compilation in Spring Boot 4.1?

Native images with Spring Batch in Spring Boot 4.1 do not work particularly well out of the box because the code responsible for storing persistent entities lacks native hints, requiring extensive reflection. A workaround involves manually writing GraalVM native image hints using the Spring AOT component model to register the persistent types and the schema files used to construct the batch tables, plus registering the CSV resource for reflection if it's bundled in the jar.

_Developers targeting native images with Spring Batch can find workarounds like this on daily.dev._

## Similar posts on daily.dev

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---

Tags: [#java](https://daily.dev/tags/java), [#spring](https://daily.dev/tags/spring), [#mongodb](https://daily.dev/tags/mongodb), [#spring-boot](https://daily.dev/tags/spring-boot)

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