🎉 Flexmonster Pivot Table & Charts v2.8 has arrived!Read the blog post
Get Free Trial
Get Free Trial
  1. API reference
  2. Welcome
    1. Component overview
    2. Quick start
    3. System requirements
    4. Troubleshooting
    5. Managing license keys
    6. Migrating from WebDataRocks to Flexmonster
  3. Connecting to Data Source
    1. JSON
      1. Connecting to JSON
      2. Data types in JSON
    2. CSV
      1. Connecting to CSV
      2. Data types in CSV
    3. Database
      1. Connecting to SQL databases
      2. Connecting to other databases
      3. Connecting to a database with Node.js
      4. Connecting to a database with .NET
      5. Connecting to a database with .NET Core
      6. Connecting to a database with Java
      7. Connecting to a database with PHP
    4. MongoDB
      1. Introduction to the Flexmonster MongoDB Connector
      2. Getting started with the MongoDB Connector
      3. Embedding the MongoDB Connector into the server
    5. Microsoft Analysis Services
      1. Connecting to Microsoft Analysis Services
      2. Getting started with the Accelerator
      3. Installing the Accelerator as a Windows service
      4. Referring the Accelerator as a DLL
      5. Configuring the authentication process
      6. Configuring a secure HTTPS connection
      7. Troubleshooting
    6. Pentaho Mondrian
      1. Connecting to Pentaho Mondrian
      2. Getting started with the Accelerator
      3. Configuring Mondrian roles
      4. Configuring username/password protection
      5. Configuring a secure HTTPS connection
      6. Troubleshooting
    7. Elasticsearch
      1. Connecting to Elasticsearch
      2. Configuring the mapping
    8. Custom data source API
      1. Introduction to the custom data source API
      2. A quick overview of a sample Node.js server
      3. A quick overview of a sample .NET Core server
      4. Implementing the custom data source API server
      5. Implementing filters
      6. Returning data for the drill-through view
      7. Supporting more aggregation functions
  4. Security
    1. Security in Flexmonster
    2. Security aspects of connecting to an OLAP cube
      1. Ways of connecting to an OLAP cube
      2. The data transfer process
      3. Data security
      4. Data access management
    3. Security aspects when connecting to a database
      1. Ways of connecting to a database
      2. The data transfer process
      3. Data access management
  5. Configuring report
    1. What is a report
    2. Data source
    3. Slice
    4. Options
    5. Mapping
    6. Number formatting
    7. Conditional formatting
    8. Set the report for the component
    9. Get the report from the component
    10. Date and time formatting
    11. Configuring global options
    12. Export and print
    13. Calculated values
    14. Custom sorting
  6. Integration with frameworks
    1. Available tutorials
    2. Integration with AngularJS (v1.x)
    3. Integration with Angular
    4. Integration with React
    5. Integration with React Native
    6. Integration with Vue
    7. Integration with Python
      1. Integration with Django
      2. Integration with Jupyter Notebook
    8. Integration with R Shiny
    9. Integration with Webpack
    10. Integration with ASP.NET
    11. Integration with jQuery
    12. Integration with JSP
    13. Integration with TypeScript
    14. Integration with RequireJS
    15. Integration with PhoneGap
  7. Integration with charts
    1. Integration with Highcharts
    2. Integration with Google Charts
    3. Integration with FusionCharts
    4. Integration with any charting library
  8. Customizing
    1. Customizing the Toolbar
    2. Customizing appearance
    3. Customizing the context menu
    4. Localizing the component
  9. Updating to the latest version
    1. Updating to the latest version
    2. Release notes
    3. Migration guide from 2.7 to 2.8
    4. Migration guide from 2.6 to 2.7
    5. Migration guide from 2.5 to 2.6
    6. Migration guide from 2.4 to 2.5
    7. Migration guide from 2.3 to 2.4
    8. Migration guide from 2.2 to 2.3
    9. Documentation for older versions
Table of contents

Connecting to a relational database with .NET

Requirements

  • Flexmonster Pivot version 2.213 or higher
  • Microsoft .NET Framework 4 or higher
  • A driver for the database

Supported databases

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

Step 1: Embed the component into your web page

Set up an empty component in your HTML page. If Flexmonster is not yet embedded – return to Quick start. Your code should look similar to 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 Flexmonster Data Compressor on the server

Add the following dependencies to your project:

  • An appropriate database driver. Note that Microsoft SQL Server already has a built-in driver.
  • Flexmonster.Compressor.dll – located in the Pivot Table for Databases/server/.net/ folder of the download package.

Below is a 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();

Then the following line of code will convert DbDataReader to a Stream:

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

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

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

It is also possible to create a streaming response. This means that the end user will get the response with minimal delay and server will use less memory. This is the recommended approach 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")
);

The full project is available at Pivot Table for Databases/server/.net/ inside the download package.

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

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

Step 4: Configure the report with your own data

Now it’s time to configure the pivot table 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: {
			type: "csv",
			/* URL to the Data Compressor .NET */
			filename: "http://localhost:55772/api/flexmonster/get"
		}
	},
	licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
});

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

Examples

Saving to a 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.csv");
inputStream.CopyTo(fileStream);
fileStream.Close();

What’s next?