Build Amazon S3-Connected Web Apps with Axios and CData Connect Cloud



Use CData Connect Cloud to connect to live Amazon S3 data and build Amazon S3-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 Amazon S3 data for your web apps. This article shows how to connect to Amazon S3 and build web apps in Axios with access to live Amazon S3 data.

Connect to Amazon S3 from Axios

To work with Amazon S3 in Axios, we need to connect to Amazon S3 from Connect Cloud, provide user access to the connection, and create a Workspace for the Amazon S3 data.

Connect to Amazon S3 from Connect Cloud

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.

  1. Log into Connect Cloud, click Sources, and then click Add Connection
  2. Select "Amazon S3" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Amazon S3.

    To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

    Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

    For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Amazon S3 Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect Cloud through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect Cloud. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect Cloud app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Configure Amazon S3 Endpoints for Axios

After connecting to Amazon S3, create a workspace for your desired table(s).

  1. Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
  2. Click Add to add new assets to the Workspace.
  3. Select the Amazon S3 connection (e.g. AmazonS31) and click Next.
  4. Select the table(s) you wish to work with and click Confirm.
  5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection, PAT, and Workspace configured, you are ready to connect to Amazon S3 data from Axios.

Connect to Amazon S3 Data in Axios Workflows

To establish a connection from Axios to CData Connect Cloud using the OData protocol, follow these steps.

  1. Create a project directory for your web app. For example: ~/connect_cloud/
  2. Open a terminal, navigate the the project directory and initialize a node project using the command:
    npm init -y
  3. Install the Axios dependency in the project using the following command:
    npm install axios
  4. 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 AmazonS31.SCHEMA.ObjectsACL.

    server.js code

          const axios = require('axios')
    
          const user = '[email protected]'
          const pat = '***********************************';
    
          //Your API endpoint
          const url = 'https://cloud.cdata.com/api/odata/{workspace_name}';
    
          //Your data to be sent in the POST request
          const data = {
          "query":"SELECT * FROM {workspace_name}.SCHEMA.ObjectsACL"
          };
    
          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);
          });
        
  5. 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 Amazon S3 Data from Cloud Applications

At this point, you have a direct connection to live Amazon S3 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.

Ready to get started?

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