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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

Implementing the custom data source API server

This guide will help you implement your own custom data source API server. To configure your server so that it can exchange data with Flexmonster, follow these steps:

Step 1. Set up Flexmonster

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 the connection in the Flexmonster report

In report.dataSource, define these parameters to connect to your custom data source API:

var pivot = new Flexmonster({
container: "pivotContainer",
toolbar: true,
report: {
dataSource: {
    type: "api",
        url: "http://localhost:3400/api/cube",
        index: "data-set-123"
    }

}
});

Here, url is the base URL to your API endpoints and index is the identifier of your dataset. index will be sent with every request.

At this step, since the back end isn’t configured yet, you won’t see any data in the pivot table if you open it in a browser.

In the next steps, you will find out how to pass the data from your server to Flexmonster using the custom data source API.

Step 3. Create endpoints to handle POST requests

Flexmonster sends POST requests to the API endpoints using the JSON format. After receiving the responses from the server, it visualizes the data in the pivot table or pivot charts. The first step in the API implementation is to create endpoints on your server to handle these POST requests.

If Flexmonster Pivot is running on a different server, enable CORS.

All requests have the type property in the request body. There are 4 types of requests that can be distinguished by the URL path and type value:

  • <url>/handshake – The first (handshake) request to establish a connection between the client and server sides.
  • <url>/fields – Request for all fields with their types (i.e., meta-object or schema).
  • <url>/members – Request for all members of the field.
  • <url>/select – Request for the data.

The value of type will always be the same as the endpoint name, e.g., when a request is sent to <url>/fields, the value of type is "fields".

We also recommend that you check our sample Node.js server or sample .NET Core server that implements Flexmonster’s custom data source API for an example implementation.

Step 4. Handle the /handshake request

After the connection is configured, Flexmonster sends the /handshake request to <url>/handshake. It is used to establish a connection between the client and server sides and exchange some basic information. The front end sends the version of the custom data source API that it implements. Then, Flexmonster Pivot expects the version of the custom data source API implemented by the back end in response.

The /handshake request allows verifying version compatibility. If the server sends the version of the custom data source API in response to the /handshake request, the component can check whether the server and the component implement the same version of the custom data source API.

To receive notifications about version compatibility, respond to the /handshake request with the implemented version of the custom data source API:

const API_VERSION = "2.8.5";

cube.post("/handshake", async (req, res) => {
    try {
        res.json({ version: API_VERSION });
    } catch (err) {
        handleError(err, res);
    }
});

The /handshake request is optional. If the server does not implement it, Flexmonster will proceed to the next request. However, we recommend handling the /handshake request.

Step 5. Handle the request for the data structure

The next Flexmonster’s request is the /fields request that is sent to <url>/fields. Read more details about the /fields request in the documentation and implement a response to it on your server.

The custom data source API supports 3 field types: "string", "number", and "date". Note that at least one aggregation has to be supported by the server side for at least one field. For example, a field in the response can have "aggregations": ["sum"] defined:

{
"uniqueName": "Quantity",
"type": "number",
"aggregations": ["sum"]
}

This means that the back end will provide aggregated data for this field and it can be selected as a measure in Flexmonster Pivot.

When Flexmonster Pivot successfully receives the response to the /fields request, the Field List with all available fields is shown. To see it, open the HTML page in a browser.

From now on, the component configured in step 2 should show you the data.

Step 6. Handle requests for members

The next request to handle is the request for the field’s members that is sent to <url>/members.

Read more details about the /members request in the documentation and implement a response on your server.

Now in the Field List, you will be able to select a string field for rows or for columns and retrieve its members.

For the custom data source API, date members should be passed to Flexmonster in the Unix timestamp format to be recognized correctly. For example, the date "2016-02-07" is 1454803200 in the form of a Unix timestamp.

Step 7. Handle requests for aggregated data

When a field is selected for rows and/or columns, and a numeric field is selected for measures in the Field List, the /select request is sent to the endpoint <url>/select.

To handle the /select request, your server must implement at least one aggregation function. It is easiest to start with one aggregation (e.g., "sum") and extend the list of supported aggregations later.

This is the time to handle the query.aggs part of the request (the /select request can also have query.filter and query.fields, but they can be skipped for now):

{
    "type": "select"
    "index": string,
    "query": {
        "aggs": {
            "values"[]: {
                "field": FieldObject,
                "func": string
            },
            "by": {
                "rows": FieldObject[],
                "cols": FieldObject[]
            }
        }
    }
}

When Flexmonster successfully receives the response to a /select request, the pivot table is shown.

Step 8. Test your custom data source API server

As a finishing touch, you can check if your server handles custom data source API requests as expected. For this purpose, we created a test suite that covers basic use cases. To learn more about server testing, see this guide.

What’s next?

You may be interested in the following articles: