Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Build BigQuery-Connected Web Apps with Axios and CData Connect Cloud
Use CData Connect Cloud to connect to live BigQuery data and build BigQuery-connected web apps with Axios.
Axios is a JavaScript library that allows developers to make HTTP requests to servers from a web browser or Node.js. When paired with CData Connect Cloud, you get access to live BigQuery data for your web apps. This article shows how to connect to BigQuery and build web apps in Axios with access to live BigQuery data.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
Connect to BigQuery from Axios
To work with BigQuery in Axios, we need to connect to BigQuery from Connect Cloud, provide user access to the connection, and create OData endpoints for the BigQuery data.
(Optional) Add a New Connect Cloud User
As needed, create Users to connect to BigQuery through Connect Cloud.
- Navigate to the Users page and click Invite Users
- Enter the new user's email address and click Send to invite the user
- You can review and edit users from the Users page
Add a Personal Access Token
If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Connect to BigQuery from Connect Cloud
CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "BigQuery" from the Add Connection panel
- BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery.
- Navigate to the Permissions tab in the Add BigQuery Connection page and update the User-based permissions.
Note the CData Connect Cloud SQL API Endpoint(s)
CData Connect Cloud contains API endpoints that allow you to submit SQL queries to BigQuery through common web requests. To work with BigQuery data in Axios web apps, you will use the query endpoint.
Query Endpoint
https://cloud.cdata.com/api/query
With the connection and Workspace configured, you are ready to connect to BigQuery data from Axios.
Connect to BigQuery Data in Axios Workflows
To establish a connection from Axios to CData Connect Cloud using the OData protocol, follow these steps.
- Create a project directory for your web app. For example: ~/connect_cloud/
- Open a terminal, navigate the the project directory and initialize a node project using the command:
npm init -y
- Install the Axios dependency in the project using the following command:
npm install axios
In your project directory, create a file called server.js that contains the following code. Provide your CData Connect Cloud username (e.g. [email protected]) and PAT (the PAT you created in the prerequisites). You must also provide a query for your data, such as SELECT * FROM GoogleBigQuery1.SCHEMA.Orders.
server.js code
const axios = require('axios') const user = '[email protected]' const pat = '***********************************'; //Your API endpoint const url = 'https://cloud.cdata.com/api/query'; //Your data to be sent in the POST request const data = { "query":"SELECT * FROM GoogleBigQuery1.SCHEMA.Orders" }; axios.post(url, data, { auth: { username: user, password: pat } }) .then(response => { const rows = response.data.results[0].rows; const schema = response.data.results[0].schema; //Create an array of column names const columnNames = schema.map(col => col.columnName); //Loop through each row and log the column name with its value rows.forEach(row => { const rowObject = {}; row.forEach((value, index) => { const columnName = columnNames[index]; rowObject[columnName] = value; }); console.log(rowObject); }) }) .catch(error => { console.error('Error:', error); });
- In the terminal, execute the following command to run the server:
node server.js
The query results will appear:{ ID: 1, VALUE: -2 } { ID: 2, VALUE: 1 } { ID: 11, VALUE: null } { ID: 3, VALUE: 2 } { ID: 4, VALUE: 5 } ...
Simplified Access to BigQuery Data from Cloud Applications
At this point, you have a direct connection to live BigQuery data from Axios. For more information on gaining simplified access to data from more than 100 SaaS, Big Data, and NoSQL sources in cloud applications like Axios, refer to our Connect Cloud page.