Lens Config Builder API - Region Map

Understanding LensRegionMapConfig in detail

• Type: Fixed value 'regionmap'
• Description: Sets the chart type to region map, which is used for displaying geographical data across different regions on a map. This visualization type is excellent for spatial analysis, showing how metrics vary across geographic locations.

• Type: string
• Description: The title of the visualization.

The dataset configuration within the Lens Config Builder API defines the source of data for a visualization.

1. LensESQLDataset (LensESQLDataset):

• Utilizes the Elasticsearch Query Language (ES|QL) for retrieving data.
• Attributes include:
• esql: A string containing the ES|QL query. ES|QL is a powerful query language that allows for complex search and aggregation operations, making this dataset type particularly flexible and powerful for advanced data retrieval scenarios.

2. LensDatatableDataset (LensDatatableDataset):

• Represents data in a tabular format, suitable for direct visualization or further processing.
• This dataset type is typically used when data is already aggregated or processed and just needs to be displayed.

3. LensDataviewDataset (LensDataviewDataset):

• Targets data within a specific Elasticsearch index or data view.
• Attributes include:
• index: The ID of the data view or the name of the Elasticsearch index pattern.
• timeFieldName (optional): The name of the field used for time-based operations, providing context for time range queries and aggregations.

The breakdown configuration within the Lens Config Builder API allows developers to define how data should be segmented or aggregated in their visualizations.

The breakdown configuration in case of using ES|QL or Datatable as a datasource just takes in the field name to use as a breakdown.

When using index as a datasource, breakdown can still be a field name, in which case lens will try to choose the most appropriate option, or it could be one of the following:

1. Top Values (LensBreakdownTopValuesConfig):

• Breaks down data based on the top occurring values for a specified field.
• Attributes include field (the field to break down by) and size (the number of top values to display).
• Ideal for pie charts, tag clouds, or any visualization where highlighting the most common or significant categories is beneficial.

2. Date Histogram (LensBreakdownDateHistogramConfig):

• Segments data over time using a specified date field.
• Attributes include field (the date field for the histogram), and minimumInterval (the smallest interval to use, e.g., 1M for monthly).
• Useful for time series data, showing trends over time in line charts, area charts, etc.

3. Intervals (LensBreakdownIntervalsConfig):

• Divides data into intervals based on a numeric field.
• Attributes include field (the numeric field to create intervals from) and granularity (the interval size).
• Applicable for histograms or any visualization that benefits from numeric range segmentation.

4. Filters (LensBreakdownFiltersConfig):

• Allows for custom segmentation of data based on a collection of Elasticsearch filters.
• Attributes include an array of filters, each with a label (optional) and a filter string defining the filter query.
• Offers maximum flexibility in data segmentation, suitable for creating comparative visualizations across custom-defined segments.

const regionMapConfig: LensConfig = {
  chartType: 'regionmap',
  title: 'Sales by Country',
  dataset: {
    esql: 'from kibana_sample_data_logs | stats bytes=sum(bytes) by geo.dest',
  },
  breakdown: 'geo.dest',
  value: 'bytes',
};
const configBuilder = new LensConfigBuilder(dataViewsAPI, lensFormulaAPI);
const lensConfig = configBuilder.build(regionMapConfig, {
  timeRange: { from: 'now-1y', to: 'now', type: 'relative' },
  embeddable: true,
});