> ## Documentation Index
> Fetch the complete documentation index at: https://docs.paradime.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Run GCP Dataproc Job

> Add a Run GCP Dataproc Job command to a Paradime Bolt schedule to submit Spark and Hadoop jobs from the Paradime CLI alongside your dbt™ runs.

Submit a GCP Dataproc job to a cluster from a Bolt schedule to run Spark and related workloads as part of your pipeline.

## Prerequisites

* GCP connected as a [workspace integration](/integrations/gcp-dataproc). Project and credentials are taken from that integration.

## Usage

Add the **Run GCP Dataproc Job** command to your schedule and enter the command to run. The modal accepts any command supported by the [Paradime GCP Dataproc CLI](/developers/paradime-cli/gcp-dataproc-cli):

```bash theme={"system"}
paradime run gcp-dataproc-trigger --cluster-name=my-cluster --job-type=pyspark --main-file=gs://bucket/script.py
```

Supported job types: `pyspark`, `spark`, `hive`, `spark-sql`, `pig`, and `presto`.

## Learn more

See the [Paradime GCP Dataproc CLI](/developers/paradime-cli/gcp-dataproc-cli) for the full command and flag reference.


## Related topics

- [GCP Dataproc](/integrations/gcp-dataproc.md)
- [Commands](/products/bolt/creating-schedules/command-settings/index.md)
- [Run GCP Cloud Run Job](/products/bolt/creating-schedules/command-settings/gcp-cloud-run-job.md)
- [GCP Dataproc CLI](/developers/paradime-cli/gcp-dataproc-cli.md)
- [Integrations](/integrations/index.md)