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Node.js is a JavaScript runtime environment that allows you to run JavaScript code outside of a browser. With the CData ODBC Driver for Databricks, you can access live Databricks 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 Databricks data.
With built-in optimized data processing, the CData ODBC Driver offers unmatched performance for interacting with live Databricks data in Node.js. When you issue complex SQL queries from Node.js to Databricks, the driver pushes supported SQL operations, like filters and aggregations, directly to Databricks and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
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 to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
In order to connect to Databricks through the CData ODBC Driver, you need to build node-odbc manually (after 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
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
With the ODBC Driver installed, a DSN Configured, and node-odbc built, we are ready to query live Databricks data from a Node.js app. The sample code below connects to a specific DSN and queries the Customers table.
const odbc = require('odbc');
async function queryDatabricks() {
const connection = await odbc.connect(`DSN=CData Databricks Source`);
const data = await connection.query('SELECT City, CompanyName FROM Customers');
console.log(data);
}
queryDatabricks();
Once you write the app, use node to execute the script:
node myscript.js👁 Sample program results (Salesforce is shown).
Download a free, 30-day trial of the CData ODBC Driver for Databricks and start working with your live Databricks data in Node.js. Reach out to our Support Team if you have any questions.
Download a free trial of the Databricks ODBC Driver to get started:
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👁 Databricks IconThe Databricks ODBC Driver is a powerful tool that allows you to connect with live data from Databricks, directly from any applications that support ODBC connectivity.
Access Databricks data like you would a database - read, write, and update through a standard ODBC Driver interface.