googleapis/nodejs-dataproc

Name: nodejs-dataproc

Owner: Google APIs

Description: Google Cloud Dataproc is a managed Apache Spark and Apache Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning.

Created: 2017-12-18 23:27:04.0

Updated: 2018-05-22 18:33:00.0

Pushed: 2018-05-22 18:32:59.0

Homepage: https://cloud.google.com/dataproc/

Size: 853

Language: JavaScript

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README

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Google Cloud Dataproc: Node.js Client

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Node.js idiomatic client for Cloud Dataproc.

Cloud Dataproc is a managed Apache Spark and Apache Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning.

Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

Table of contents:

Quickstart
Before you begin
  1. Select or create a Cloud Platform project.

    Go to the projects page

  2. Enable billing for your project.

    Enable billing

  3. Enable the Google Cloud Dataproc API.

    Enable the API

  4. Set up authentication with a service account so you can access the API from your local workstation.

Installing the client library
npm install --save @google-cloud/dataproc
Using the client library

rocess.env.GCLOUD_PROJECT ||
rocess.env.GOOGLE_APPLICATION_CREDENTIALS

row new Error(
'Usage: GCLOUD_PROJECT=<project_id> GOOGLE_APPLICATION_CREDENTIALS=<path to json key> node #{$0}'



t dataproc = require('@google-cloud/dataproc');

t client = new dataproc.v1.ClusterControllerClient({
 optional auth parameters.


t projectId = process.env.GCLOUD_PROJECT;

terate over all elements.
t region = 'global';
t request = {
ojectId: projectId,
gion: region,


nt.listClusters(request).then(responses => {
nst resources = responses[0];
nsole.log('Total resources:', resources.length);
r (let i = 0; i < resources.length; i += 1) {
console.log(resources[i]);



r obtain the paged response.
t options = {autoPaginate: false};
t callback = responses => {
 The actual resources in a response.
nst resources = responses[0];
 The next request if the response shows that there are more responses.
nst nextRequest = responses[1];
 The actual response object, if necessary.
 const rawResponse = responses[2];
r (let i = 0; i < resources.length; i += 1) {
console.log(resources[i]);

 (nextRequest) {
// Fetch the next page.
return client.listClusters(nextRequest, options).then(callback);


nt.listClusters(request, options).then(callback);

nt.listClustersStream(request).on('data', element => {
nsole.log(element);

The Cloud Dataproc Node.js Client API Reference documentation also contains samples.

Versioning

This library follows Semantic Versioning.

This library is considered to be in alpha. This means it is still a work-in-progress and under active development. Any release is subject to backwards-incompatible changes at any time.

More Information: Google Cloud Platform Launch Stages

Contributing

Contributions welcome! See the Contributing Guide.

License

Apache Version 2.0

See LICENSE


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.