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CData Connect Server

Query SQL Analysis Services Data as a SQL Server in Node.js



Execute SQL Server queries against SQL Analysis Services data from Node.js.

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

CData Connect Server provides a pure SQL Server interface for SQL Analysis Services, allowing you to easily build reports from live SQL Analysis 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 SQL Analysis Services, leveraging server-side processing to quickly return the requested SQL Analysis Services data.

Create a Virtual SQL Server Database for SQL Analysis 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 "SQL Analysis Services" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to SQL Analysis Services.

    To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.

    To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.

    • HTTP Authentication

      Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

    • Windows (NTLM)

      Set the Windows User and Password and set AuthScheme to "NTLM".

    • Kerberos and Kerberos Delegation

      To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.

    • SSL/TLS:

      By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

    You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

    See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

  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 SQL Analysis Services data from Node.js.

Query SQL Analysis Services from Node.js

The following example shows how to define a connection and execute queries to SQL Analysis 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 SQL Analysis Services (SSAS1)

Connect to SQL Analysis 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: 'SSAS1',
    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 SQL Analysis Services Data from Node.js

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

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