How To Run a GCP Dataflow Pipeline From Local Machine (2024)

How To Run a GCP Dataflow Pipeline From Local Machine (3)

GCP Dataflow is a Unified stream and batch data processing that’s serverless, fast, and cost-effective. It is a fully managed data processing service and many other features which you can find on its website here. Apache Beam is an advanced unified programming model that implements batch and streaming data processing jobs that run on any execution engine. GCP dataflow is one of the runners that you can choose from when you run data processing pipelines.

In this post, we will see how we can get started with Apache Beam with a simple Java example project. We will start with a simple project and see how to integrate with Apache Beam and run it on Google Cloud Platform with GCP Dataflow Runner.

  • Prerequisites
  • How to get started with Apache Beam
  • Example Project
  • Implementation
  • Running on Local Machine
  • Running on GCP Dataflow
  • Summary
  • Conclusion

There are some prerequisites for this project such as Apache Maven, Java SDK, and some IDE. You need to install all these on your machine if you want to run this example project on your machine.

Make sure you install Java and Maven on your machine by testing with these commands. You need to add these to your path so that you can run these commands.

java --version
mvn --version
How To Run a GCP Dataflow Pipeline From Local Machine (4)
  • Create a New project
  • You need to create a Billing Account
  • Link Billing Account With this project
  • Enable All the APIs that we need to run the…
How To Run a GCP Dataflow Pipeline From Local Machine (2024)

FAQs

How do I run Dataflow in GCP? ›

For this GCP Dataflow tutorial, you must create a new GCP project for BigQuery and your GCP Dataflow pipeline.
  1. Step 1: Signup/Login. Through any supported web browser, navigate to the Google Cloud website, and create a new account if you don't have an existing one. ...
  2. Step 2: Creating the Project. ...
  3. Step 3: Add your APIs.
Mar 26, 2024

How to run Dataflow job locally in Python? ›

Run the pipeline locally
  1. From your local terminal, run the wordcount example: See more code actions. Dismiss View. Light code theme. Dark code theme. python -m apache_beam. examples. ...
  2. View the output of the pipeline: See more code actions. Dismiss View. Light code theme. Dark code theme. more outputs*
  3. To exit, press q .

How do you run a pipeline in GCP? ›

Select from existing pipelines: To create a pipeline run based on an existing pipeline template, click Select from existing pipelines and enter the following details:
  1. Select the Repository containing the pipeline or component definition file.
  2. Select the Pipeline or component and Version.

How do I run a simple Dataflow job? ›

To run a custom template:
  1. Go to the Dataflow page in the Google Cloud console.
  2. Click CREATE JOB FROM TEMPLATE.
  3. Select Custom Template from the Dataflow template drop-down menu.
  4. Enter a job name in the Job Name field.
  5. Enter the Cloud Storage path to your template file in the template Cloud Storage path field.

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