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Get the Report →DataBind Databricks Data to the DevExpress Data Grid
Use the CData ADO.NET Provider for Databricks with the DevExpress Windows Forms and Web controls to provide Databricks data to a chart.
The ADO.NET Provider for Databricks by CData incorporates conventional ADO.NET data access components compatible with third-party controls. You can adhere to the standard ADO.NET data binding procedures to establish two-way access to real-time data through UI controls. This article will demonstrate the utilization of CData components for data binding with DevExpress UI Controls (Windows Forms and Web controls), specifically binding to a chart that visualizes live data.
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
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).
Windows Forms Controls
The code below shows how to populate a DevExpress chart with Databricks data. The DatabricksDataAdapter binds to the Series property of the chart control. The Diagram property of the control defines the x- and y-axes as the column names.
using (DatabricksConnection connection = new DatabricksConnection(
"Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;")) {
DatabricksDataAdapter dataAdapter = new DatabricksDataAdapter(
"SELECT City, CompanyName FROM Customers WHERE Country = 'US'", connection);
DataTable table = new DataTable();
dataAdapter.Fill(table);
DevExpress.XtraCharts.Series series = new DevExpress.XtraCharts.Series();
chartControl1.Series.Add(series);
series.DataSource = table;
series.ValueDataMembers.AddRange(new string[] { "CompanyName" });
series.ArgumentScaleType = DevExpress.XtraCharts.ScaleType.Qualitative;
series.ArgumentDataMember = "City";
series.ValueScaleType = DevExpress.XtraCharts.ScaleType.Numerical;
chartControl1.Legend.Visibility = DevExpress.Utils.DefaultBoolean.False;
((DevExpress.XtraCharts.SideBySideBarSeriesView)series.View).ColorEach = true;
}
Web Controls
The code below shows how to populate a DevExpress Web control with Databricks data. The DatabricksDataAdapter binds to the Series property of the chart; the Diagram property defines the x- and y-axes as the column names.
using DevExpress.XtraCharts;
using (DatabricksConnection connection = new DatabricksConnection(
"Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;"))
{
DatabricksDataAdapter DatabricksDataAdapter1 = new DatabricksDataAdapter("SELECT City, CompanyName FROM Customers WHERE Country = 'US'", connection);
DataTable table = new DataTable();
DatabricksDataAdapter1.Fill(table);
DevExpress.XtraCharts.Series series = new Series("Series1", ViewType.Bar);
WebChartControl1.Series.Add(series);
series.DataSource = table;
series.ValueDataMembers.AddRange(new string[] { "CompanyName" });
series.ArgumentScaleType = ScaleType.Qualitative;
series.ArgumentDataMember = "City";
series.ValueScaleType = ScaleType.Numerical;
((DevExpress.XtraCharts.SideBySideBarSeriesView)series.View).ColorEach = true;
}