Skip to content

jasonjho/dataproc-initialization-actions

 
 

Repository files navigation

Dataproc Initialization Actions

When creating a Google Cloud Dataproc cluster, you can specify initialization actions in executables and/or scripts that Cloud Dataproc will run on all nodes in your Cloud Dataproc cluster immediately after the cluster is set up.

How are initialization actions used?

Initialization actions are stored in a Google Cloud Storage bucket and can be passed as a paramater to the gcloud command or the clusters.create API when creating a Dataproc cluster. For example, to specify an initialization action when creating a cluster with the gcloud command, you can run:

gcloud dataproc clusters create CLUSTER-NAME
[--initialization-actions [GCS_URI,...]]
[--initialization-action-timeout TIMEOUT]

For convenience, a copy of initialization actions in this repository are stored in the following Cloud Storage bucket which is publicly-accessible:

gs://dataproc-initialization-actions

The folder structure of this Cloud Storage bucket mirrors this repository. You should be able to use this Cloud Storage bucket (and the initialization scripts within it) for your clusters.

Why these samples are provided

These samples are provided to show how various packages and components can be installed on Cloud Dataproc clusters. You should understand how these samples work before running them on your clusters. The initialization actions provided in this repository are provided without support and you use them at your own risk.

Actions provided

This repository presently offers the following actions for use with Cloud Dataproc clusters.

For more information

For more information, review the Dataproc documentation. You can also pose questions to the Stack Overflow comminity with the tag google-cloud-dataproc. See our other Google Cloud Platform github repos for sample applications and scaffolding for other frameworks and use cases.

Contributing changes

Licensing

About

Run in all nodes of your cluster before the cluster starts - let's you customize your cluster

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Shell 97.7%
  • Python 2.3%