1. API reference
  2. Welcome
    1. Component overview
    2. Quick start
    3. System requirements
    4. Troubleshooting
    5. Managing license keys
  3. Connecting to Data Source
    1. JSON
      1. Connecting to JSON
      2. Connecting to JSON using the Data Compressor
      3. Data types in JSON
    2. CSV
      1. Connecting to CSV
      2. Connecting to CSV using the Data Compressor
      3. 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. 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
    5. 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
    6. Elasticsearch
      1. Connecting to Elasticsearch
      2. Configuring the mapping
  4. Security
    1. Security in Flexmonster
    2. Security aspects when connecting to an OLAP cube
      1. The data transfer process
      2. Data security
      3. Data access management
    3. Security aspects when connecting to a database
      1. The data transfer process
      2. Data access management
  5. Configuring report
    1. What is a report
    2. Data source
    3. Slice
    4. Options
    5. Number formatting
    6. Conditional formatting
    7. Set the report for the component
    8. Get the report from the component
    9. Date and time formatting
    10. Configuring global options
    11. Export and print
    12. Calculated values
    13. 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 Webpack
    6. Integration with ASP.NET
    7. Integration with jQuery
    8. Integration with JSP
    9. Integration with TypeScript
    10. Integration with RequireJS
    11. 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 toolbar
    2. Customizing appearance
    3. Customizing context menu
    4. Localizing component
  9. Updating to the latest version
    1. Updating to the latest version
    2. Release notes
    3. Migration guide from 2.6 to 2.7
    4. Migration guide from 2.5 to 2.6
    5. Migration guide from 2.4 to 2.5
    6. Migration guide from 2.3 to 2.4
    7. Migration guide from 2.2 to 2.3
    8. Documentation for older versions
Table of contents

Connecting to a relational database with .NET Core

Requirements

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

Supported databases

  • MySQL
  • Microsoft SQL Server – already has a built-in driver
  • PostgreSQL
  • Other ADO.NET 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 the Data Compressor on the server

Install Flexmonster Data Compressor. Download it on nuget.org or run the following command in the Package Manager Console:

Install-Package Flexmonster.Compressor

Then add the appropriate database driver to your project. Below is a connection and query sample for MySql:

string connetionString = "server=localhost;database=XXX;";
string sql = "SELECT * FROM YYY";
MySqlConnection sqlConnection = new MySqlConnection(connetionString);
sqlConnection.Open();
MySqlCommand command = new MySqlCommand(sql, sqlConnection);
DbDataReader dataReader = command.ExecuteReader();

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

Stream inputStream = Compressor.CompressDb(dataReader);

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

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

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: {
			dataSourceType: "ocsv",
			/* URL to the Data Compressor .NET Core */
			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.

Examples

Saving to a file

string connetionString = "server=localhost;database=XXX;";
string sql = "SELECT * FROM YYY";
MySqlConnection sqlConnection = new MySqlConnection(connetionString);
sqlConnection.Open();
MySqlCommand command = new MySqlCommand(sql, sqlConnection);
DbDataReader dataReader = command.ExecuteReader();

Stream inputStream = Compressor.CompressDb(dataReader);
FileStream fileStream = File.Create("data.ocsv");
inputStream.CopyTo(fileStream);
fileStream.Dispose();