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Use Servoy Developer to easily connect to Databricks data and build web apps with connectivity to live Databricks data.
Servoy is a rapid application development and deployment platform. When paired with the CData JDBC Driver for Databricks, users can build Databricks-connected apps that work with live Databricks data. This article describes how to connect to Databricks from Servoy and build a simple web app to display and search Databricks data.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Databricks data. When you issue complex SQL queries 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). Its built-in dynamic metadata querying lets you work with Databricks data using native data types.
About Databricks Data Integration
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
- Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
- Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
- Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
- Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.
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.
Getting Started
Connect to Databricks in Servoy Developer
To build Databricks-connected apps, you need to first create a data provider in Servoy Developer using the CData JDBC Driver for Databricks.
- Install the JDBC Driver.
- Copy the JDBC Driver JAR file. (cdata.jdbc.databricks.jar) to the /application_server/drivers/ directory in the installation directory for Servoy.
- Open Servoy Developer.
- In the Solution Explorer, right-click Database Server (under Resources) and choose "Connect to existing database" -> "empty."
- Name the server.
- Click to show the advanced server settings.
Set the URL, for example: jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
Built-In Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Databricks JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.databricks.jar
Fill in the connection properties and copy the connection string to the clipboard.
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.
- Server: Set to the Server Hostname of your Databricks cluster.
- HTTPPath: Set to the HTTP Path of your Databricks cluster.
- Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
- Select the Driver class you just copied, for example, cdata.jdbc.databricks.DatabricksDriver
Build a Databricks-Connected Web App
Once you have configured the connection to Databricks in the Servoy Developer resources, you are ready to build apps with access to live Databricks data.
Create a New Solution
- In the Server Explorer, right-click "All solutions" and select "Create new solution."
- Name the solution.
- Select the checkbox to include the "search" module.
- Click "Finish."
Create a New Form
Right-click "Forms" and select "Create new form."
- Name the form.
- Select a Datasource.
- Set the type (e.g., Simple) and click "Finish."
Add a Data Grid to the Form
- Drag a Data Grid component (from Servoy NG-Grids) onto the form.
Drag a column component onto the Data Grid and set the "dataprovider" property for each column component to a column from the Databricks "table" (e.g., City from the Customers table).
Continue adding columns as desired.
Add Searching to the App
Note that the "svySearch" extension is required to add search functionality (included by default when you create a new solution). If you did not add the extension when you created the solution or you are modifying an existing solution, you can add the search module by right-clicking Modules (in the solution) and selecting "Add Module." Select "svySearch" and click "OK."
- Drag a Text Field component onto the Form.
- Right-click the Form and select "Open in Script Editor."
- Create a new variable (JavaScript) to hold the search value:
var searchText = '';
- Back on the Form, in the Text Field properties:
- Set the "dataprovider" property to the Form variable you just created.
- Double-click to add a method for the onAction event.
- Click to create the method in "Form," name the method (e.g., onEnter), and click "Create private."
- Click "OK & Show."
- Add the following JavaScript to the JavaScript file to use the Servoy framework to implement searching bound data based on the text in the Text Field:
var search = scopes.svySearch.createSimpleSearch(foundset).setSearchText(searchText); search.setSearchAllColumns(); search.loadRecords(foundset);
Save and Launch the App
Save the form and JavaScript file, then click Run -> Launch NGClient to start the web app.
Download a free, 30-day trial of the CData JDBC Driver for Databricks and start building Databricks-connected apps with Servoy. Reach out to our Support Team if you have any questions.