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authoring-java-sdk-tasks

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Writes Airflow task logic in Java, Kotlin, or any JVM language using the Airflow Java SDK. Use when the user wants to implement Airflow tasks in Java/JVM, asks about `@Builder.Dag`/`@Builder.Task`/`@Builder.XCom`, the `Task`/`BundleBuilder` interfaces, reading connections/variables/XComs from Java, the JSON-to-Java type mapping, or logging from Java tasks. This skill covers the Java-specific native API; the shared Python-stub pattern and conceptual model live in authoring-language-sdk-tasks. For building/shipping the bundle see deploying-java-sdk-bundles; for coordinator config see configuring-airflow-language-sdks.

skills/authoring-java-sdk-tasks/SKILL.md

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Nov 2, 2026
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# Authoring Java SDK Tasks

The Airflow Java SDK implements the language-SDK model for the JVM: your DAG stays in Python, and each task instance runs in a short-lived JVM subprocess. This skill covers the **Java-specific** native API. The shared model — the Python `@task.stub` pattern, ID matching, and the XCom-as-JSON contract — lives in **authoring-language-sdk-tasks**; read that first if you're new to language SDKs.

> **Experimental.** The Java SDK is in preview. Artifact coordinates and APIs may change.

> **Related skills:** **authoring-language-sdk-tasks** (shared Python stub + concepts), **configuring-airflow-language-sdks** (route the queue to `JavaCoordinator`), **deploying-java-sdk-bundles** (compile and ship the JAR).

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## Recap: the Python side

Java tasks are paired with Python stubs that carry no logic — they declare the task, queue, dependency graph, and retries. IDs must match the Java annotations exactly, and an upstream argument on a stub only declares the dependency (the value is fetched in Java). Full rules are in **authoring-language-sdk-tasks**; the minimal shape:
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