Microsoft Azure Data Lake Analytics Management Client Library for node

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3.1.0-preview5 years ago8 years agoMinified + gzip package size for azure-arm-datalake-analytics in KB


Microsoft Azure SDK for Node.js - Data Lake Analytics
This project provides a Node.js package that makes it easy to manage Azure Data Lake Analytics accounts.
Right now it supports:
Node.js version: 6.x.x or higher


  • Account management: create, get, list, update, and delete.
  • Account storage management: add, get, list update and delete Data Lake Store accounts and Azure Storage accounts from an existing Data Lake analytics account.
  • Job management: submit, get, list, cancel.
  • Catalog management: get, list, create (secrets and credentials), update (secrets and credentials), delete (secrets and credentials).

How to Install

npm install azure-arm-datalake-analytics

How to Use

Authentication, account, job and catalog client creation and listing jobs as an example

Login and list jobs using promises

```javascript var msRestAzure = require('ms-rest-azure'); var adlaManagement = require("azure-arm-datalake-analytics");
// Interactive Login // It provides a url and code that needs to be copied and pasted in a browser and authenticated over there. If successful, // the user will get a DeviceTokenCredentials object. msRestAzure.interactiveLogin().then((credentials) => { var acccountClient = new adlaManagement.DataLakeAnalyticsAccountClient(credentials, 'your-subscription-id'); var jobClient = new adlaManagement.DataLakeAnalyticsJobClient(credentials, ''); var catalogClient = new adlaManagement.DataLakeAnalyticsCatalogClient(credentials, ''); return jobClient.job.list(accountName); }).then((jobs) => { console.log(result); return; }).catch((err) => { console.log('An error occured'); console.dir(err, {depth: null, colors: true}); }); ```

Create a Data Lake Analytics Account using callback pattern

var util = require('util');
var resourceGroupName = 'testrg';
var accountName = 'testadlaacct';
var location = 'eastus2';

// A Data Lake Store account must already have been created to create
// a Data Lake Analytics account. See the Data Lake Store readme for
// information on doing so. For now, we assume one exists already.
var datalakeStoreAccountName = 'existingadlsaccount';

// account object to create
var accountToCreate = {
  tags: {
    testtag1: 'testvalue1',
    testtag2: 'testvalue2'
  location: location,
  defaultDataLakeStoreAccount: datalakeStoreAccountName,
  dataLakeStoreAccounts: [
      name: datalakeStoreAccountName

client.account.create(resourceGroupName, accountName, accountToCreate, function (err, result, request, response) {
  if (err) {
    /*err has reference to the actual request and response, so you can see what was sent and received on the wire.
      The structure of err looks like this:
      err: {
        code: 'Error Code',
        message: 'Error Message',
        body: 'The response body if any',
        request: reference to a stripped version of http request
        response: reference to a stripped version of the response
  } else {
    console.log('result is: ' + util.inspect(result, {depth: null}));

Get a list of jobs using callback pattern

var util = require('util');
var accountName = 'testadlaacct';
jobClient.job.list(accountName, function (err, result, request, response) {
  if (err) {
  } else {
    console.log('result is: ' + util.inspect(result, {depth: null}));

Get a list of databases in the Data Lake Analytics Catalog using Promise that provides the HttpOperationResponse wrapper

var util = require('util');
var accountName = 'testadlaacct';
catalogClient.catalog.listDatabasesWithHttpOperationResponse(accountName).then((httpOperationResponse) => {
  console.log('Deserialized Result (list of databases)');
  console.dir(httpOperationResponse.body, {depth: null, colors: true});
  console.log('Actual Request');
  console.dir(httpOperationResponse.request, {depth: null, colors: true});
  console.log('Raw Response');
  console.dir(httpOperationResponse.response, {depth: 3, colors: true});
}).catch((err) => {
  console.log('An error occurred.');
  console.dir(err, {depth: null, colors: true});

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