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  1. API reference
  2. Welcome
    1. Component overview
    2. Quickstart
    3. System requirements
    4. Troubleshooting
    5. Installation troubleshooting
    6. Managing license keys
  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. 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. What is a 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. Date and time formatting
    10. Configuring global options
    11. Export and print
    12. Calculated values
    13. Custom sorting
  5. Integration with frameworks
    1. Available tutorials
    2. Integration with jQuery
    3. Integration with AngularJS
    4. Integration with Angular 2
    5. Integration with Angular 4
    6. Integration with React
    7. Integration with RequireJS
    8. Integration with TypeScript
    9. Integration with ASP.NET
    10. Integration with JSP
    11. Integration with PhoneGap
  6. Integration with charts
    1. Integration with Highcharts
    2. Integration with FusionCharts
    3. Integration with Google Charts
    4. Integration with any charting library
  7. Customizing
    1. Customizing toolbar
    2. Customizing appearance
    3. Localizing component
  8. 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
  9. Older Versions
    1. Documentation 2.3
    2. Documentation 2.2
    3. API reference - Flex
Table of contents

Connecting to relational database with Java

Requirements

  • Flexmonster Pivot Component version 2.213 or higher
  • Java 7 or higher
  • Driver for the database

Supported 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
  • flexmonster-compressor.jar – it is located in the Download Package

Below is the connection and query sample for MySQL database:

Class.forName("com.mysql.jdbc.Driver").newInstance();
String connectionString = "jdbc:mysql://localhost:3306/foodmart";
Connection connection = 
	DriverManager.getConnection(connectionString, "user", "pass");
String query = "SELECT * FROM customer";
Statement statement = connection.createStatement();
ResultSet resultSet = statement.executeQuery(query);

The following line of code will convert ResultSet to compressed InputStream:

InputStream inputStream = Compressor.compressDb(resultSet);

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

Scanner s = new Scanner(inputStream).useDelimiter("\\A");
String output = s.hasNext() ? s.next() : "";

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:

response.setContentType("text/plain");
OutputStream outputStream = response.getOutputStream();
int length = 0;
byte[] buffer = new byte[10240];
while ((length = inputStream.read(buffer)) > 0) {
    outputStream.write(buffer, 0, length);
    outputStream.flush();
}

Full project is available at the server/java/ 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 Java */
			filename: "http://localhost:8400/FlexmonsterCompressor/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.

Java Compressor API

Compression for CSV files:

InputStream compressFile(String fileName, char delimiter)
InputStream compressFile(String fileName)

Compression for strings in CSV format:

InputStream compressString(String string, char delimiter)
InputStream compressString(String string)

Compression for streams:

InputStream compressStream(InputStream inputStream, char delimiter)
InputStream compressStream(InputStream inputStream)

Compression for Databases:

InputStream compressDb(ResultSet resultSet)

Examples

Saving to file

Class.forName("com.mysql.jdbc.Driver").newInstance();
String connectionString = "jdbc:mysql://localhost:3306/foodmart";
Connection connection = 
	DriverManager.getConnection(connectionString, "user", "pass");
String query = "SELECT * FROM customer";
Statement statement = connection.createStatement();
ResultSet resultSet = statement.executeQuery(query);

InputStream inputStream = Compressor.compressDb(resultSet);
OutputStream outputStream = new FileOutputStream("data.ocsv");
int length = 0;
byte[] buffer = new byte[10240];
while ((length = inputStream.read(buffer)) > 0) {
    outputStream.write(buffer, 0, length);
}
inputStream.close();
outputStream.close();

Compressing CSV string

String input = "Category,Color,Destination,Country,Price,Quantity,Discount\n"+
	"Accessories,red,Australia,Australia,174,225,23\n"+
	"Accessories,yellow,Canada,Canada,502,90,17\n"+
	"Accessories,white,France,France,242,855,37\n"+
	"Accessories,yellow,Germany,Germany,102,897,42";
InputStream inputStream = Compressor.compressString(input);
OutputStream outputStream = new FileOutputStream("data.ocsv");
int length = 0;
byte[] buffer = new byte[10240];
while ((length = inputStream.read(buffer)) > 0) {
    outputStream.write(buffer, 0, length);
}
inputStream.close();
outputStream.close();