How do you submit a Spark job to Dataproc?

 

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How do you submit a Spark job to Dataproc?

Submitting a Spark job to Google Cloud Dataproc can be done using the gcloud CLI, Dataproc Jobs API, or via the Google Cloud Console. Here's how it's typically done using the gcloud command-line tool:

First, ensure you have a running Dataproc cluster. Then, use the following command:

bash

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gcloud dataproc jobs submit spark

Example:

This submits a Spark job (SparkPi) to the cluster named my-cluster. The job references a Spark example JAR and executes with an input parameter of 100.

Alternatively, for Python-based Spark jobs (PySpark), use:

Key Parameters:

--cluster: Name of the Dataproc cluster.

--region: Region where the cluster is deployed.

--jars or --py-files: Location of Spark JAR or Python files (local or Cloud Storage).

--class: Fully qualified class name (for Java/Scala jobs).

You can also monitor job status in the Cloud Console > Dataproc > Jobs section.

This method enables easy submission, logging, and management of distributed Spark workloads on GCP.

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