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  1. API reference
  2. Welcome
    1. Getting started
    2. Get Flexmonster
    3. Quick start
    4. System requirements
    5. Troubleshooting
    6. Managing license keys
    7. Migrating from WebDataRocks to Flexmonster
  3. Integration with frameworks
    1. Available tutorials
    2. Integration with Angular
    3. Integration with React
    4. Integration with Vue
    5. Other integrations
      1. Integration with Python
        1. Integration with Django
        2. Integration with Jupyter Notebook
      2. Integration with React Native
      3. Integration with Blazor
      4. Integration with AngularJS (v1.x)
      5. Integration with TypeScript
      6. Integration with R Shiny
      7. Integration with jQuery
      8. Integration with Ionic
      9. Integration with Electron.js
      10. Integration with Webpack
      11. Integration with RequireJS
  4. Connecting to Data Source
    1. Supported data sources
    2. JSON
      1. Connecting to JSON
      2. Connecting to JSON using Flexmonster Data Server
      3. Data types in JSON
    3. CSV
      1. Connecting to CSV
      2. Connecting to CSV using Flexmonster Data Server
      3. Data types in CSV
    4. Database
      1. Connecting to SQL databases
      2. Connecting to a MySQL database
      3. Connecting to a Microsoft SQL Server database
      4. Connecting to a PostgreSQL database
      5. Connecting to an Oracle database
    5. Flexmonster Data Server
      1. Introduction to Flexmonster Data Server
      2. Getting started with Flexmonster Data Server
      3. Flexmonster Admin Panel Guide
      4. Data sources guide
      5. Security and authorization guide
      6. The Data Server as a DLL
        1. Getting started with the Data Server as a DLL
        2. Referencing the Data Server as a DLL
        3. Implementing the API controller
        4. Implementing the server filter
        5. Implementing the custom parser
        6. DLL configurations reference
        7. The controller's methods for request handling
      7. The Data Server as a console application
        1. Installing the Data Server as a console application
        2. Configurations reference
        3. Data sources guide
        4. Security and authorization guide
      8. Troubleshooting the Data Server
    6. MongoDB
      1. Introduction to Flexmonster MongoDB Connector
      2. Getting started with the MongoDB Connector
      3. Embedding the MongoDB Connector into the server
      4. Configuring the MongoDB Connector
    7. Microsoft Analysis Services
      1. Connecting to Microsoft Analysis Services
      2. Getting started with Flexmonster Accelerator
      3. Referencing the Accelerator as a DLL
      4. Configuring the authentication process
      5. Configuring a secure HTTPS connection
      6. Troubleshooting
    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. Implement your own server
        1. Implementing the custom data source API server
        2. Implementing filters
        3. Supporting more aggregation functions
        4. Supporting multilevel hierarchies
        5. Returning data for the drill-through view
        6. Testing your custom data source API server
    9. Elasticsearch
      1. Connecting to Elasticsearch
      2. Configuring the mapping
    10. 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
    11. Connecting to other data sources
  5. Accessibility
    1. Accessibility overview
    2. Keyboard navigation
  6. Configuring the component
    1. Available tutorials
    2. Getting started with the report
    3. Configure the data source
      1. Data source
      2. Mapping
    4. Define which data to show
      1. Slice
      2. Custom sorting
      3. Calculated values
    5. Manage Flexmonster’s functionality
      1. Options
      2. Configuring global options
    6. Format fields
      1. Number formatting
      2. Date and time formatting
      3. Conditional formatting
    7. Capture the report
      1. Get the report from the component
      2. Set the report for the component
      3. Share the report
      4. Export and print
  7. Charts
    1. Available tutorials
    2. Flexmonster Pivot Charts
    3. Integration with Highcharts
    4. Integration with amCharts
    5. Integration with Google Charts
    6. Integration with FusionCharts
    7. Integration with any charting library
  8. Customizing
    1. Available tutorials
    2. Customizing the Toolbar
    3. Customizing appearance
    4. Customizing the context menu
    5. Customizing the grid
    6. Customizing the pivot charts
    7. Localizing the component
  9. 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
  10. Updating to the latest version
    1. Updating to the latest version
    2. Release notes
    3. Migration guide from 2.8 to 2.9
    4. Migration guide from 2.7 to 2.8
    5. Migration guide from 2.6 to 2.7
    6. Migration guide from 2.5 to 2.6
    7. Migration guide from 2.4 to 2.5
    8. Migration guide from 2.3 to 2.4
    9. Migration guide from 2.2 to 2.3
  11. Flexmonster CLI Reference
    1. Overview
    2. Troubleshooting the CLI
    3. flexmonster create
    4. flexmonster add
    5. flexmonster update
    6. flexmonster version
    7. flexmonster help
  12. Documentation for older versions
Table of contents

Mondrian - Getting started with Flexmonster Accelerator

Flexmonster Accelerator for Pentaho Mondrian cubes is a special server-side proxy that increases data loading speeds from the server to the user’s browser.

When working with OLAP cubes, a browser component communicates with the server via the XMLA protocol. The XMLA protocol is heavy and exchanges a lot of excessive information – it takes too much time and memory to load and process the data.

We replaced the XMLA protocol and use direct requests from the component to the server.

This is our solution to two major problems that many of those who work with big data face:

  • We made big data transfer from the server to the browser incredibly fast. Our tool allows you to transfer large multidimensional data super easily and quickly. Reporting becomes more enjoyable and prompt for your end users.
  • We greatly reduced the load on the browser memory.

Requirements

  • Flexmonster Pivot version 2.2 or higher
  • A relational database with a Mondrian schema
  • Java JRE 1.7+

Step 1. Embed the component into your web page

If Flexmonster is not yet embedded, set up an empty component in your web page:

In pure JavaScript

Complete the Quick start guide. Your code should look similar to the following example:

let pivot = new Flexmonster({
    container: "pivotContainer",
    toolbar: true
});

In Angular

Complete the Integration with Angular guide. Your code should look similar to the following example:

<fm-pivot 
[toolbar]="true">
</fm-pivot>

In React

Complete the Integration with React guide. Your code should look similar to the following example:

<FlexmonsterReact.Pivot
toolbar={true}
/>

In Vue

Complete the Integration with Vue guide. Your code should look similar to the following example:

<Pivot
ref="pivot"
toolbar>
</Pivot>

Step 2. Configure Flexmonster Accelerator on the server

The package with the Accelerator contains the following files in the server/ folder:

  • flexmonster-proxy-mondrian.jar – a server-side utility that handles connectivity between Pentaho Mondrian and Flexmonster Pivot.
  • flexmonster-proxy-mondrian-4.jar – same as flexmonster-proxy-mondrian.jar, but for the newer version of Pentaho Mondrian 4.4.
  • flexmonster.config – a file that contains configuration parameters for the utility (connection string, port, etc.).

There are also additional sample files:

  • FoodMart.xml – a sample Mondrian schema for a FoodMart database.
  • FoodMart-4.xml – same as FoodMart.xml, but for the newer version of Pentaho Mondrian 4.4.
  • mysql-connector-java-*.jar – a Java connector for a MySQL database.

Let’s review flexmonster.config file. It contains the following parameters:

  • CONNECTION_STRING – (required) the connection string for Pentaho Mondrian. Example:
    Jdbc=jdbc:mysql://localhost:3306/foodmart?user=root&password=password;JdbcDrivers=com.mysql.jdbc.Driver;
  • JDBC_DRIVER_JAR – (required) the path to the Java connector (a .jar file) for the database. Example: ./mysql-connector-java-5.1.37.jar.
  • JDBC_DRIVER_CLASS – (required) the class name of the Java connector. Example: com.mysql.jdbc.Driver.
  • CATALOGS_PATH – (optional) a path to the folder that contains the Mondrian schemas. Default value: ./.
  • PORT – (optional) the port number for the proxy service endpoint. Default value: 50006.
  • CACHE_MEMORY_LIMIT – (optional) the maximum memory size available for caching (in MB). Default value: 0 (unlimited).
  • CACHE_ENABLED – (optional) indicates whether caching is enabled.
    Available since version 2.211. Default value: true.
  • HTTPS – (optional) indicates whether the HTTPS protocol is enabled. Default value: false.

After configuring all the necessary options, the Accelerator is ready to be launched. Just execute the following commands in terminal:

# navigate to the folder that contains the Accelerator
cd {path_to_package}/server
# start the Accelerator
java -jar flexmonster-proxy-mondrian.jar

If your schema is built for Mondrian 4, use flexmonster-proxy-mondrian-4.jar instead.

Step 3. Open a port for Flexmonster Accelerator in the firewall

If you plan to allow connections to the Accelerator from outside the server, open the appropriate port in the firewall. The default port number is 50006, but it can be changed using the PORT parameter in the flexmonster.config file.

Step 4. Configure Flexmonster Pivot Table and Charts

Now it’s time to configure the client – Flexmonster Pivot Table and Charts. Let’s create a minimal configuration using the JavaScript API (replace proxyUrl, catalog, and cube parameters with your specific values):

var pivot = new Flexmonster({ 
container: "pivotContainer",
toolbar: true,
report: {
dataSource: {
type: "mondrian",
/* URL to Flexmonster Accelerator */
proxyUrl: "http://localhost:50006",
/* Data source info */
dataSourceInfo: "MondrianFoodMart",
/* Catalog name / Mondrian schema */
catalog: "FoodMart",
/* Cube name */ cube: "Sales",
// Flag to use the Accelerator instead of XMLA protocol
binary: true
}
}
});

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

Cache control

Flexmonster Accelerator for Mondrian has two levels of cache:

  • Mondrian cache
  • Accelerator cache (controlled by the CACHE_ENABLED parameter)

Usually, a cache can improve performance greatly. However, if the underlying database ever changes, the cache goes out of date. Mondrian cannot deduce when the database is being modified, so we introduce a method to force clear the Mondrian cache.

It works by triggering the “ClearCache” as follows:

http://localhost:50006/FlexmonsterProxy/ClearCache 

The Accelerator cache can be disabled with the CACHE_ENABLED parameter in flexmonster.config (available since version 2.211):

CACHE_ENABLED=false

Mondrian configuration

Mondrian has a properties file to allow you to configure how it is executed. It is possible to use any of these properties with the Accelerator.

To do this, create a mondrian.properties file in the same location as flexmonster-proxy-mondrian.jar.

For example:

mondrian­.­rolap­.­aggregates­.­ChooseByVolume = false
mondrian­.­rolap­.­aggregates­.­generateSql = false

Refer to the full list of Mondrian properties to find out more.