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DataBinding facilitates two-way interaction with data through UI controls. Using the CData ADO.NET Provider for Databricks streamlines the process of binding Databricks data to Windows Forms and Web controls within Visual Studio. In this article, we will demonstrate using wizards to establish a binding between Databricks data and a chart that dynamically updates. Additionally, the code walk-through section will guide you through the creation of a chart using just 10 lines of code.
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.
DataBinding to a Chart consists of three steps: Instantiate the control, configure the data source, and databind.
To create a chart control and establish a connection to Databricks, follow the steps outlined below using the Data Source Configuration Wizard. Within the wizard, you'll have the option to choose the specific Databricks entities you wish to bind to.
In the Add Connection dialog, click Change to select the CData Databricks Data Source.
Below is a typical connection string:
Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
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.
When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
๐ Connection properties for the selected data source in the Add Connection dialog. (Salesforce is shown.)After adding the data source and selecting database objects, you can bind the objects to the chart. This example assigns the x-axis to City and the y-axis to CompanyName.
The chart is now databound to the Databricks data. Run the chart to display the current data.
๐ The chart, filled with data at run time.
DataBinding to Databricks data requires only a few lines of code and can be completed in three easy steps.
Below is the complete code:
DatabricksConnection conn = new DatabricksConnection("Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;");
DatabricksCommand comm = new DatabricksCommand("SELECT City, CompanyName FROM Customers WHERE Country = 'US'", conn);
DatabricksDataAdapter da = new DatabricksDataAdapter(comm);
DataSet dataset = new DataSet();
da.Fill(dataset);
chart1.DataSource = dataset;
chart1.Series[0].XValueMember = "City";
chart1.Series[0].YValueMembers = "CompanyName";
// Insert code for additional chart formatting here.
chart1.DataBind();
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