Query SharePoint Excel Services Data as a SQL Server in Node.js

You can use CData Connect Server to query SharePoint Excel Services data through a SQL Server interface. Follow the procedure below to create a virtual database for SharePoint Excel Services in Connect Server and start querying using Node.js.

CData Connect Server provides a pure SQL Server interface for SharePoint Excel Services, allowing you to easily build reports from live SharePoint Excel Services data in Node.js — without replicating the data to a natively supported database. As you build visualizations, Node.js generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to SharePoint Excel Services, leveraging server-side processing to quickly return the requested SharePoint Excel Services data.

Create a Virtual SQL Server Database for SharePoint Excel Services Data

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

1. Login to Connect Server and click Connections.
2. Select "SharePoint Excel Services" from Available Data Sources.
3. Enter the necessary authentication properties to connect to SharePoint Excel Services.

   The URL, User, and Password properties, under the Authentication section, must be set to valid credentials for SharePoint Online, SharePoint 2010, or SharePoint 2013. Additionally, the Library property must be set to a valid SharePoint Document Library and the File property must be set to a valid .xlsx file in the indicated Library.

4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to SharePoint Excel Services data from Node.js.

Query SharePoint Excel Services from Node.js

The following example shows how to define a connection and execute queries to SharePoint Excel Services with the SQL Server module. You will need the following information:

• Host name, or address, and port: The address of your Connect Server instance and the port (1433)
• Username and password: The username and password of a user you authorized on Connect Server
• Database name: The database you configured for SharePoint Excel Services (ExcelServices1)

Connect to SharePoint Excel Services data and start executing queries with the code below:

const sql = require('mssql');

const config = {
    user: 'your_connect_username', 
    password: 'your_connect_password', 
    server: 'connect_server_url', 
    port: 1433, // optional, defaults to 1433
    database: 'ExcelServices1',
    authentication: {
        type: 'default'
    },
    options: {
        encrypt: true
    }
}

console.log("Starting...");
connectAndQuery();

async function connectAndQuery() {
    try {
        var poolConnection = await sql.connect(config);

        console.log("Reading rows from the table...");
        var resultSet = await poolConnection.request().query(`SELECT * FROM table_name`);

        console.log(`${resultSet.recordset.length} rows returned.`);

        // output column headers
        var columns = "";
        for (var column in resultSet.recordset.columns) {
            columns += column + ", ";
        }
        console.log("%s	", columns.substring(0, columns.length - 2));

        // ouput row contents from default record set
        resultSet.recordset.forEach(row => {
            console.log("%s	%s", row.CategoryName, row.ProductName);
        });

        // close connection only when we're certain application is finished
        poolConnection.close();
    } catch (err) {
        console.error(err.message);
    }
}

SQL Server Access to SharePoint Excel Services Data from Node.js

You have retrieved live SharePoint Excel Services Data using Node.js. Now, you can easily access data sources and more — all without replicating SharePoint Excel Services data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect Server.