This documentation is for an out-of-date version of Apache Flink. We recommend you use the latest stable version.
Important: Maven artifacts which depend on Scala are now suffixed with the Scala major version, e.g. "2.10" or "2.11". Please consult the migration guide on the project Wiki.

Google Compute Engine Setup

This documentation provides instructions on how to setup Flink fully automatically with Hadoop 1 or Hadoop 2 on top of a Google Compute Engine cluster. This is made possible by Google’s bdutil which starts a cluster and deploys Flink with Hadoop. To get started, just follow the steps below.


Install Google Cloud SDK

Please follow the instructions on how to setup the Google Cloud SDK. In particular, make sure to authenticate with Google Cloud using the following command:

gcloud auth login

Install bdutil

At the moment, there is no bdutil release yet which includes the Flink extension. However, you can get the latest version of bdutil with Flink support from GitHub:

git clone

After you have downloaded the source, change into the newly created bdutil directory and continue with the next steps.

Deploying Flink on Google Compute Engine

Set up a bucket

If you have not done so, create a bucket for the bdutil config and staging files. A new bucket can be created with gsutil:

gsutil mb gs://<bucket_name>

Adapt the bdutil config

To deploy Flink with bdutil, adapt at least the following variables in


# set this to 'n1-standard-2' if you're using the free trial

# for example: "europe-west1-d"

bdutil’s Flink extension handles the configuration for you. You may additionally adjust configuration variables in extensions/flink/ If you want to make further configuration, please take a look at configuring Flink. You will have to restart Flink after changing its configuration using bin/stop-cluster and bin/start-cluster.

To bring up the Flink cluster on Google Compute Engine, execute:

./bdutil -e extensions/flink/ deploy
./bdutil shell
cd /home/hadoop/flink-install/bin
./flink run ../examples/batch/WordCount.jar gs://dataflow-samples/shakespeare/othello.txt gs://<bucket_name>/output

Shut down your cluster

Shutting down a cluster is as simple as executing

./bdutil -e extensions/flink/ delete