To write Node.js code that uses the Sage API to transfer data to Google BigQuery, you will need to use the Google Cloud Client Libraries for Node.js and the Sage API client for Node.js.
First, you will need to set up your environment by installing the necessary libraries and authenticating your Google Cloud account. You can do this by following the instructions in the Google Cloud documentation: https://cloud.google.com/docs/authentication/getting-started
Once you have set up your environment, you can use the following code as a starting point for transferring data from Sage to BigQuery:
Copy codeconst { BigQuery } = require('@google-cloud/bigquery');
const SageAPI = require('sage-api-client');
// Create a client for interacting with BigQuery
const bigquery = new BigQuery();
// Create a client for interacting with the Sage API
const sage = new SageAPI({
// Add your Sage API credentials here
});
// Connect to the Sage API and retrieve data
sage.get('/api/v2/products').then(response => {
// Format the data for insertion into BigQuery
const data = response.data.map(product => ({
id: product.id,
name: product.name,
price: product.price,
}));
// Insert the data into a BigQuery table
bigquery
.dataset('my_dataset')
.table('my_table')
.insert(data)
.then(() => {
console.log('Data inserted into BigQuery table');
})
.catch(err => {
console.error('Error inserting data into BigQuery table:', err);
});
});
This code creates a client for interacting with the Sage API and a client for interacting with BigQuery. It then retrieves data from the Sage API, formats it for insertion into BigQuery, and inserts it into a BigQuery table. You will need to replace my_dataset
and my_table
with the names of your dataset and table, and add your Sage API credentials to the SageAPI
constructor.