Access Google BigQuery using a service account from node.js
For the sake of simplicity, the entities returned by Google's webservice are being used, so you can refer to Google's site https://developers.google.com/bigquery/docs/reference/v2/ for further documentation. For the entire usage of the API you can go see the test\tests.js file, here are some samples:
var bigquery = require('google-bigquery'),
client = bigquery({
"iss": '[email protected]',
"key": fs.readFileSync('mypemfile.pem', 'utf8')
});
client.getProjects(function (err, projs) {
console.log(projs);
console.log(projs.projects); //list of projects.
});
client.tables.create({... your table resource ...}, function (err, table){
console.log(table);
console.log(table.tableReference.tableId); //table's id.
});In order to execute the tests, first set up an environment variable 'GOOGLE_ISS' with the ISS taken from your Google API Service Account (notice that you have to register your Google API account for BigQuery first), something like this: "[email protected]". You also have to get a .pem with your private key to sign the token requests. To get this .pem file, create a service account in Google API's console, and download the .p12 file. In linux you can convert the .p12 file with openssl using the following command (notice the -nodes):
openssl pkcs12 -in yourp12file.p12 -out file.pem -nodes
Copy your .pem file to the 'test' folder, and then run the tests using mocha or npm test.
Notice: these tests are going to be hitting your bigquery account directly, so I recommend setting a tests project, and setting the mocha timeout to 10 seconds (mocha --timeout 10000 test/tests.js).
- Better API for querying tables (right now you do it through jobs create and query methods)
- Review the token expiration/refresh logic.
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Copyright (c) 2011-2012 Gustavo Machado. http://machadogj.com
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