Publish Crystal Reports on Spark Data

The CData ADO.NET Provider for Spark is fully integrated into the SAP Crystal Reports for Visual Studio development environment. You can employ standard ADO.NET components to construct reports, much like you would with SQL Server, but with the added advantage of real-time connectivity to Spark. This article will guide you through the essential three steps to incorporate Spark data into a report that refreshes upon opening.

Note: You will need to install SAP Crystal Reports, developer version for Visual Studio to follow this tutorial.

Create a Crystal Reports Application

To follow this article, you will also need a Visual Studio Crystal Reports project. This article will add a report to a WPF application. You can create one by clicking File -> New Project and then selecting the Crystal Reports WPF Application template. In the resulting wizard, select the option to create a blank report.

Connect to Spark

Creating an ADO.NET data source for Spark from Server Explorer makes it easy to create a DataSet that can be used in Crystal Reports wizards and the Crystal Reports Designer. You can find a guide to working with Spark data in Server Explorer in the "Getting Started" chapter of the help documentation.

Set the Server, Database, User, and Password connection properties to connect to SparkSQL.

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.

Create a DataSet

Follow the steps below to use the Visual Studio ADO.NET DataSet Designer to create an ADO.NET DataSet object. Crystal Reports will bind to the DataSet object, which contains Spark table metadata. Note that this approach also adds a connection string to App.config; you will use this connection string later to load data into the report.

1. In the Solution Explorer, right-click your project and then click Add -> New Item.
2. Select DataSet. The DataSet Designer is then displayed.
3. Drag and drop tables from Server Explorer onto the DataSet Designer. This article uses the Customers table.

Add Spark Fields to the Report

Follow the steps below to add columns from the DataSet to the report:

1. Double-click the .rpt file in the Solution Explorer to open the Crystal Reports Designer.
2. Right-click the designer and click Database -> Database Expert.
3. Expand the Project Folder and ADO.NET DataSets nodes and drag the DataSet you created into the Selected Tables box. The fields are now accessible from the Field Explorer.
4. Drag and drop fields from the Field Explorer to the Details section or another section of your report.

Load Data into the Report

Having created the DataSet, which will only contain the metadata, you will now need to create the DataTable containing the actual data. You can use the SparkSQLDataAdapter to fill a DataTable with the results of an SQL query.

1. Add a reference to System.Configuration.dll to your project to be able to use the connection string from App.config.
2. In App.config, add the following code to the configuration node for compatibility with Crystal Reports when working with .NET 4.0:

   
     <startup useLegacyV2RuntimeActivationPolicy="true">
       <supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.0"/>
     </startup>
   

3. Add the following references in your Window.xaml.cs file:

   using System.Configuration;
   using CrystalDecisions.CrystalReports.Engine;
   using CrystalDecisions.Shared;
   using System.Data.CData.SparkSQL;
   using System.Data;
   

4. Add the following Window_Loaded method in your Window.xaml.cs to execute the SQL query that will return the DataTable. Note that your query needs to select at least the same columns used in your report.

   private void Window_Loaded(object sender, RoutedEventArgs e) {
     ReportDocument report = new ReportDocument();
     report.Load("../../CrystalReport1.rpt"); 
    var connectionString = ConfigurationManager.ConnectionStrings["MyAppConfigConnectionStringName"].ConnectionString;
     using (SparkSQLConnection connection = new SparkSQLConnection(connectionString)) {
       SparkSQLDataAdapter dataAdapter = new SparkSQLDataAdapter(
       "SELECT City, Balance FROM Customers", connection);
        DataSet set = new DataSet("_set");
        DataTable table = set.Tables.Add("_table");
        dataAdapter.Fill(table);
        report.SetDataSource(table);
     }
     reportViewer.ViewerCore.ReportSource = report;
   }
   

5. In the Window.xaml file, add the Loaded event so that your Window tag resembles the following:

   
   <Window x:Class="CrystalReportWpfApplication4.Window1"
           xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"
           xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
           xmlns:cr="clr-namespace:SAPBusinessObjects.WPF.Viewer;assembly=SAPBusinessObjects.WPF.Viewer"
           Title="WPF Crystal Report Viewer" Height="600" Width="800" Loaded="Window_Loaded">
           ...
   </Window>
   

6. Run the report. When the report is loaded, the provider executes the query to retrieve the current data.

Chart Spark Data

You can also use the DataSet with experts like the Chart Expert:

1. Right-click in the Crystal Reports Designer and click Insert -> Chart.
2. Select the Report Header or Report Footer section. The Chart Expert is then displayed.
3. On the Type tab, select the chart type. This article uses a side-by-side bar chart.
4. On the Data tab, select the column and conditions for the x-axis. For example, drag the City column in the DataSet node onto the box under the On Change Of menu.
5. Select the x-axis column and click the TopN and Order buttons to configure sorting and limiting.
6. Select the columns and summary operations for the y-axis. For example, drag the Balance column in the DataSet node into the Show Values box.
7. Run the report.

Note that Crystal Reports performs the aggregation on the data already loaded into DataTable, instead of, for example, executing a GROUP BY to the Spark API. This will also be true for the report creation wizards.

You could gain more control over the queries executed to Spark by creating another DataSet and populating it with a different query. See the help documentation for more information on the driver's SQL engine.