[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[[["\u003cp\u003eDataproc templates on GitHub enable the setup and execution of Dataproc workloads and jobs.\u003c/p\u003e\n"],["\u003cp\u003eAirflow orchestration templates allow for running Spark jobs through DAGs in Airflow.\u003c/p\u003e\n"],["\u003cp\u003eJava templates support running Spark batch workloads or jobs on Dataproc Serverless or a Dataproc cluster.\u003c/p\u003e\n"],["\u003cp\u003ePython templates are designed for running PySpark batch workloads on Dataproc Serverless.\u003c/p\u003e\n"],["\u003cp\u003eNotebook templates facilitate running Spark jobs using Vertex AI Notebooks.\u003c/p\u003e\n"]]],[],null,["To set up and run Dataproc workloads and jobs, use\n[Dataproc templates on GitHub](https://github.com/GoogleCloudPlatform/dataproc-templates)\n\nTemplates are provided in the following language and execution environments:\n\n- [Airflow orchestration templates](https://github.com/GoogleCloudPlatform/dataproc-templates/tree/main/airflow): Run Spark jobs from DAGs in Airflow.\n- [Java templates](https://github.com/GoogleCloudPlatform/dataproc-templates/tree/main/java): Run Spark batch workloads or jobs on Dataproc Serverless or an existing Dataproc cluster.\n- [Python templates](https://github.com/GoogleCloudPlatform/dataproc-templates/tree/main/python): Run PySpark batch workloads on Dataproc Serverless.\n- [Notebook templates](https://github.com/GoogleCloudPlatform/dataproc-templates/tree/main/notebooks): Run Spark jobs using Vertex AI notebooks."]]
