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

Configuring the mapping

This tutorial explains how to use an additional setting to configure index mapping for Elasticsearch.

A mapping object can have the following properties:

  • caption (optional) – String. Overrides the default name of the field.
  • visible (optional) – Boolean. When set as false, hides the field from the Field List.
  • interval (optional) – String. Used for date histogram. Check out supported time units.
  • time_zone (optional) – String. Used for date histogram. You can specify timezones as either an ISO 8601 UTC offset (e.g. +01:00 or -08:00) or as a timezone ID as specified in the IANA timezone database, such as`America/Los_Angeles`. Check out the example.
  • format (optional) – String. Used for date histogram. Check out date format/pattern.
  • min_doc_count (optional) – Number. Used for date histogram. Can be used to show intervals with empty values (min_doc_count: 0). Default value: 1 (empty intervals are hidden).

How to hide the unnecessary fields in Elasticsearch

All unnecessary fields can be hidden by setting "visible": false:

var pivot = new Flexmonster({
container: "pivotContainer",
toolbar: true,
report: {
"dataSource": {
"dataSourceType": "elasticsearch",
/* the host for connection */
"host": "https://olap.flexmonster.com:9200",
/* the name of Elasticsearch index to connect */
"index": "fm-product-sales",
/* additional setting to configure index mapping */
"mapping": {
"@timestamp": {
"visible": false
},
"@version": {
"visible": false
},
"host": {
"visible": false
},
"message": {
"visible": false
},
"path": {
"visible": false
}
}

}
},
licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
});

Check out the example on JSFiddle.

How to format dates in Elasticsearch

The following example demonstrates how to format dates:

new Flexmonster({
  container: "#pivot-container",
  toolbar: true,
  report: {
    dataSource: {
      dataSourceType: "elasticsearch",
      host: "https://olap.flexmonster.com:9200",
      index: "fm-product-sales",
      mapping: {
        "@timestamp": {
          "format": "dd/MM/yyyy"
        }
      }
    },
    slice: {
      rows: [{
        "uniqueName": "@timestamp"
      }],
      columns: [{
        "uniqueName": "[Measures]"
      }],
      measures: [{
        "uniqueName": "Price",
        "aggregation": "sum"
      }]
    }
  }
});

Check out the example on JSFiddle.