Microsoft Azure Data Lake Analytics Management Client Library for node
npm install azure-arm-datalake-analyticsThis 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).
``bash`
npm install azure-arm-datalake-analytics
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, 'azuredatalakeanalytics.net');
var catalogClient = new adlaManagement.DataLakeAnalyticsCatalogClient(credentials, 'azuredatalakeanalytics.net');
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});
});
`$3
javascript
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) {
console.log(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}));
}
});
`$3
javascript
var util = require('util');
var accountName = 'testadlaacct';
jobClient.job.list(accountName, function (err, result, request, response) {
if (err) {
console.log(err);
} else {
console.log('result is: ' + util.inspect(result, {depth: null}));
}
});
`$3
javascript
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});
});
``- Microsoft Azure SDK for Node.js
- Microsoft Azure SDK for Node.js - Data Lake Store Management