Query SQL Analysis Services Data through ODBC in Node.js

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SQL Analysis Services ODBC Driver

The SQL Analysis Services ODBC Driver is a powerful tool that allows you to connect with live data from SQL Analysis Services, directly from any applications that support ODBC connectivity.

Access Analysis Services report data like you would a database, through a standard ODBC Driver interface. Supports Direct Query and MDX query capabilities.



Use node-odbc to execute SQL queries against SQL Analysis Services data from Node.js.

Node.js is a JavaScript runtime environment that allows you to run JavaScript code outside of a browser. With the CData ODBC Driver for SQL Analysis Services, you can access live SQL Analysis Services data from Node.js apps and scripts. In this article, we walk through installing node-odbc and the required tools to create a simple Node.js app with access to live SQL Analysis Services data.

With built-in optimized data processing, the CData ODBC Driver offers unmatched performance for interacting with live SQL Analysis Services data in Node.js. When you issue complex SQL queries from Node.js to SQL Analysis Services, the driver pushes supported SQL operations, like filters and aggregations, directly to SQL Analysis Services and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to SQL Analysis Services Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

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.

Building node-odbc

In order to connect to SQL Analysis Services through the CData ODBC Driver, you need to build node-odbc manually (after installing the required tools).

Installing the Required Tools

The following commands install the tools required to build node-odbc (note the -g parameter, which installs the tools globally).

npm i -g windows-build-tools
npm i -g node-gyp

Building node-odbc

After installing the required tools, create a directory for the Node.js app and install odbc (which builds the binary for us to use in our Node.js script).

mkdir nodeodbc
cd nodeodbc
npm i -g node

Querying SQL Analysis Services from Node.js

With the ODBC Driver installed, a DSN Configured, and node-odbc built, we are ready to query live SQL Analysis Services data from a Node.js app. The sample code below connects to a specific DSN and queries the Adventure_Works table.

myscript.js

const odbc = require('odbc');

async function querySSAS() {
    const connection = await odbc.connect(`DSN=CData SSAS Source`);
    const data = await connection.query('SELECT Fiscal_Year, Sales_Amount FROM Adventure_Works');
    console.log(data);
}

querySSAS();

Once you write the app, use node to execute the script:

node myscript.js

Download a free, 30-day trial of the CData ODBC Driver for SQL Analysis Services and start working with your live SQL Analysis Services data in Node.js. Reach out to our Support Team if you have any questions.