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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.
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.
To build Databricks-connected apps, you need to first create a data provider in Servoy Developer using the CData JDBC Driver for Databricks.
Set the URL, for example: jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
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.
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.
Right-click "Forms" and select "Create new 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.
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."
var searchText = '';
var search = scopes.svySearch.createSimpleSearch(foundset).setSearchText(searchText); search.setSearchAllColumns(); search.loadRecords(foundset);
Save the form and JavaScript file, then click Run -> Launch NGClient to start the web app.
๐ A simple 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.
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