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  1. API reference
  2. Welcome
    1. Getting started
    2. Quickstart
    3. System requirements
    4. Typical errors
    5. Installation troubleshooting
  3. Connecting to Data Source
    1. JSON
      1. JSON data source
      2. Data types in JSON
    2. CSV
      1. CSV data source
      2. Data types in CSV
    3. SQL database
      1. Connecting to SQL database
      2. Connecting to database with .NET
      3. Connecting to database with .NET Core
      4. Connecting to database with Java
      5. Connecting to database with PHP
    4. Microsoft Analysis Services
      1. Connecting to Microsoft Analysis Services
      2. Getting started with Accelerator
      3. Installing Accelerator as a Windows Service
      4. Configuring username/password protection
      5. Configuring secure HTTPS connection
      6. Troubleshooting
    5. Pentaho Mondrian
      1. Connecting to Pentaho Mondrian
      2. Getting started with Accelerator
      3. Configuring Mondrian roles
      4. Сonfiguring username/password protection
      5. Сonfiguring secure HTTPS connection
      6. Troubleshooting
    6. icCube
  4. Configuring report
    1. Configuring report
    2. Data source
    3. Slice
    4. Options
    5. Number formatting
    6. Conditional formatting
    7. Set report to the component
    8. Get report from the component
    9. Calculated values
    10. Custom sorting
    11. Date and time formatting
    12. Configuring global options
  5. Integration with frameworks
    1. Integration with frameworks
    2. Integration with AngularJS
    3. Integration with Angular 2
    4. Integration with Angular 4
    5. Integration with React
    6. Integration with RequireJS
    7. Integration with TypeScript
    8. Integration with ASP.NET
    9. Integration with JSP
    10. Integration with PhoneGap
  6. Integration with charts
    1. Integration with charts
    2. Integration with Highcharts
    3. Integration with FusionCharts
    4. Integration with Google Charts
    5. Integration with any charting library
  7. Customizing
    1. Customizing toolbar
    2. Customizing appearance
    3. Localizing component
  8. Export and print
  9. Updating to the latest version
    1. Updating to the latest version
    2. Release notes
    3. Migration guide from 2.3 to 2.4
    4. Migration guide from 2.2 to 2.3
  10. Managing license keys
  11. Older Versions
    1. Documentation 2.3
    2. Documentation 2.2
    3. API reference - Flex
Table of contents

Connecting to relational database with .NET

Requirements

  • Flexmonster Pivot Component version 2.213 or higher
  • Microsoft .NET Framework 4 or higher
  • Driver for the database

Supported databases

  • Oracle Database – driver
  • MySQL – driver
  • Microsoft SQL Server – driver is built-in
  • PostgreSQL – driver
  • Other ADO.NET / ODBC databases

Step 1: Embed the component into your web page

You already have in your HTML page an empty component. If Flexmonster Component is not embedded – return to Quickstart. Your code should look like the following example:

<div id="pivotContainer">The component will appear here</div>
<script src="flexmonster/flexmonster.js"></script>
<script>
	var pivot = new Flexmonster({
		container: "pivotContainer",
		toolbar: true,
		licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
	});
</script>

Step 2: Setup Data Compressor on the server

First of all, you need to add the following dependencies to your project:

  • Appropriate database driver. Please note that Microsoft SQL Server driver is built-in.
  • Flexmonster.Compressor.dll – it is located in the Download Package

Below is the connection and query sample for MS SQL Server:

string connectionString = "Server=localhost;Database=XXX;";
SqlConnection sqlConnection = new SqlConnection(connectionString);
sqlConnection.Open();
string query = "SELECT * FROM YYY";
DbCommand command = new SqlCommand(query, sqlConnection);
DbDataReader reader = command.ExecuteReader();

The following line of code will convert DbDataReader to compressed Stream:

Stream inputStream = Flexmonster.Compressor.CompressDb(reader);

Now, you can create a response from the Stream. For simple cases, it is enough to read all content:

string output = new StreamReader(inputStream).ReadToEnd();

Also, it is possible to create streaming response. It means that the end user will get the response almost without delay and server will use less amount of memory. It is recommended way for large datasets:

HttpResponseMessage response = Request.CreateResponse();
response.Content =
    new PushStreamContent((Stream outputStream, HttpContent content, 
                           TransportContext context) =>
    {
        int length = 0;
        byte[] buffer = new byte[10240];
        while ((count = inputStream.Read(buffer, 0, buffer.Length)) > 0)
        {
            outputStream.Write(buffer, 0, length);
            outputStream.Flush();
        }
        outputStream.Close();
    }, new MediaTypeHeaderValue("text/plain")
);

Full project is available at the server/.net/ inside Download Package.

Step 3: Enable cross-origin resource sharing (CORS).

By default, browser prevents JavaScript from making requests across domain boundaries. CORS allows web applications to make cross-domain requests. Here are some useful links explaining how to setup CORS on your server:

Step 4: Configure report with your own data

Now it’s time to configure Flexmonster Pivot Component on the web page. Let’s create a minimal report for this (replace filename and other parameters with your specific values):

var pivot = new Flexmonster({
	container: "pivotContainer",
	toolbar: true,
	report: {
		dataSource: {
			dataSourceType: "ocsv",
			/* URL to the Data Compressor .NET */
			filename: "http://localhost:55772/api/flexmonster/get"
		}
	},
	licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
});

Launch the web page from browser — here you go! A pivot table is embedded into your project. Check the example on JSFiddle.

Examples

Saving to file

string connectionString = "Server=localhost;Database=XXX;";
SqlConnection sqlConnection = new SqlConnection(connectionString);
sqlConnection.Open();
string query = "SELECT * FROM YYY";
DbCommand command = new SqlCommand(query, sqlConnection);
DbDataReader reader = command.ExecuteReader();

Stream inputStream = Flexmonster.Compressor.CompressDb(reader);
FileStream fileStream = File.Create("data.ocsv");
inputStream.CopyTo(fileStream);
fileStream.Close();