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  1. API reference
  2. Welcome
    1. Component overview
    2. Quick start
    3. System requirements
    4. Troubleshooting
    5. Managing license keys
    6. Migrating from WebDataRocks to Flexmonster
  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. 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 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
    3. Security aspects when connecting to a database
      1. Ways of connecting to a database
      2. The data transfer process
      3. Data access management
  5. Configuring report
    1. What is a report
    2. Data source
    3. Slice
    4. Options
    5. Mapping
    6. Number formatting
    7. Conditional formatting
    8. Set the report for the component
    9. Get the report from the component
    10. Date and time formatting
    11. Configuring global options
    12. Export and print
    13. Calculated values
    14. 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 the Toolbar
    2. Customizing appearance
    3. Customizing the context menu
    4. Localizing the 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 define a mapping object for an Elasticsearch index in a report and what settings this mapping object supports.

A mapping object can have the following properties:

  • caption (optional) – String. Overrides the default name of the field.
  • visible (optional) – Boolean. When set to false, hides the field from the Field List.
  • interval (optional) – String. Used for the date histogram. Check out the supported time units.
  • time_zone (optional) – String. Used for the 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 this example.
  • format (optional) – String. Used for the date histogram. Check out the date format/pattern.
  • min_doc_count (optional) – Number. Used for the 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 unnecessary fields in Elasticsearch

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

var pivot = new Flexmonster({
container: "pivotContainer",
toolbar: true,
report: {
"dataSource": {
"type": "elasticsearch",
/* the host for the connection */
"node": "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: {
      type: "elasticsearch",
      node: "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.