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Google BigQuery

Google BigQuery is an enterprise data warehouse that allows you to store and query massive datasets at high speed using Google's infrastructure

Official Websitehttps://cloud.google.com/bigquery
TagsdatabaseSaas
Documentationhttps://googleapis.dev/nodejs/bigquery/latest/index.html
NodeJS packagehttps://www.npmjs.com/package/@google-cloud/bigquery
Version6.1.0
Source Codehttps://github.com/googleapis/nodejs-bigquery

Credential configuration​

The projectId corresponds to the project ID from the Google Developer's Console.

The credentials field of the JSON corresponds to a JSON key of the service account. This key is downloaded as a JSON file when you create it. It should be something like this:

{
  "type": "service_account",
  "project_id": "PROJECT_ID",
  "private_key_id": "KEY_ID",
  "private_key": "-----BEGIN PRIVATE KEY-----\nPRIVATE_KEY\n-----END PRIVATE KEY-----\n",
  "client_email": "SERVICE_ACCOUNT_EMAIL",
  "client_id": "CLIENT_ID",
  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
  "token_uri": "https://accounts.google.com/o/oauth2/token",
  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/SERVICE_ACCOUNT_EMAIL"
}

If you don't have one, create a service account and then, a JSON key for that service account.

info

Pay attention to grant permissions over BigQuery to this service account.

Here you have an example of a filled credential configuration form in YepCode:

Google BigQuery snippets available in editor​

note

The title is the triggering text for YepCode to autocomplete the script

Integration​

New integration from credential
const googleBigQueryClient = yepcode.integration.googleBigQuery("credential-slug");
New integration from plain authentication data
const { BigQuery } = require("@google-cloud/bigquery");

const googleBigQueryCredentials = {
  projectId: "YepCode",
  credentials: {
    type: "service_account",
    project_id: "yepcode",
    private_key_id: "XXXXX",
    private_key: "-----BEGIN PRIVATE KEY-----\nx\n-----END PRIVATE KEY-----",
    client_email: "yepcode@example.org",
    client_id: "1234567890",
    auth_uri: "https://example.org",
    token_uri: "https://example.org",
    auth_provider_x509_cert_url: "https://example.org",
    client_x509_cert_url: "https://example.org",
  }
};

const googleBigQueryClient = new BigQuery(googleBigQueryCredentials);

Create a dataset​

Create a dataset
// Specify the geographic location where the dataset should reside
const options = {
  location: "dataset-location",
};

const [dataset] = await googleBigQueryClient.createDataset("dataset-id", options);
console.log(`Dataset ${dataset.id} created.`);

List datasets​

List datasets
// Lists all datasets in current project
const [datasets] = await googleBigQueryClient.getDatasets();
console.log('Datasets:');
datasets.forEach(dataset => console.log(dataset.id));

Delete a dataset​

Delete a dataset
// Create a reference to the existing dataset
const dataset = googleBigQueryClient.dataset("dataset-id");

await dataset.delete({force: true});
console.log(`Dataset ${dataset.id} deleted.`);

Query to a dataset​

Query to a dataset
const query = "your-SQL-query";

// For all options, see https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/query
const options = {
  query: query,
  // Location must match that of the dataset(s) referenced in the query.
  location: "dataset-location",
};

// Run the query as a job
const [job] = await googleBigQueryClient.createQueryJob(options);
console.log(`Job ${job.id} started.`);

// Wait for the query to finish
const [rows] = await job.getQueryResults();

// Use the result
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