Indexing location data - Amazon IoT Core
Supported data formatsHow to index location dataUpdate thing indexing configurationExample geoqueries
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Indexing location data

You can use Amazon IoT fleet indexing to index your devices' last sent location data and search for devices using geoqueries. This feature resolves device monitoring and management use cases such as location tracking and proximity search. Location indexing works similarly to other fleet indexing features, and with additional configurations to specify in your thing indexing.

Common use cases include: search and aggregate devices located within desired geographic boundaries, get location specific insights using query terms related to device metadata and state from indexed data sources, provide a granular view such as filtering results to a specific geographic area to reduce rendering lags within your fleet monitoring maps and track last reported device location, and identify devices that are outside of the desired boundary limits and generate alarms using fleet metrics. To get started with location indexing and geoqueries, see Getting started tutorial.

Supported data formats

Amazon IoT fleet indexing supports the following location data formats:

  1. Well-known text representation of coordinate reference systems

    A string that follows the Geographic information - Well-known text representation of coordinate reference systems format. An example can be "POINT(long lat)".

  2. A string that represents the coordinates

    A string with the format of "latitude, longitude" or "longitude, latitude" . If you use "longitude, latitude", you must also specify order in geoLocations. An example can be "41.12,-71.34".

  3. An object of lat(latitude), lon(longitude) keys

    This format is applicable to classic shadow and named shadow. Supported keys: lat, latitude, lon, long, longitude. An example can be {"lat": 41.12, "lon": -71.34}.

  4. An array that represents the coordinates

    An array with the format [lat,lon] or [lon,lat]. If you use the format [lon,lat], which is the same as the coordinates in GeoJSON (applicable to classic shadow and named shadow), you must also specify order in geoLocations.

    An example can be:

    {
  "location": {
    "coordinates": [
      **Longitude**,
      **Latitude**
    ],
    "type": "Point",
    "properties": {
      "country": "United States",
      "city": "New York",
      "postalCode": "*****",
      "horizontalAccuracy": 20,
      "horizontalConfidenceLevel": 0.67,
      "state": "New York",
      "timestamp": "2023-01-04T20:59:13.024Z"
    }
  }
}

How to index location data

The following steps show how to update indexing configuration for your location data and use geoqueries to search for devices.

  1. Know where your location data is stored

    Fleet indexing currently supports indexing location data stored in classic shadows or named shadows.

  2. Use supported location data formats

    Make sure your location data format follows one of the Supported data formats.

  3. Update indexing configuration

    At a minimum need, enable thing (registry) indexing configuration. You must also enable indexing on classic shadow or named shadow that contain your location data. When updating your thing indexing, you should include your location data in the indexing configuration.

  4. Create and run geoqueries

    Depending on your use cases, create geoqueries and run them to search for devices. The geoqeury you compose must follow the Query syntax. You can find some examples in Example geoqueries.

Update thing indexing configuration

To index location data, you must update indexing configuration and include your location data. Depending on where your location data is stored, follow the steps to update your indexing configuration:

If your location data is stored in a classic shadow, you must set thingIndexingMode to be REGISTRY_AND_SHADOW and specify your location data in the geoLocations fields (name and order) in filter.

In the following thing indexing configuration example, you specify the location data path shadow.reported.coordinates as name and LonLat as order.

{
	"thingIndexingMode": "REGISTRY_AND_SHADOW",
	"filter": {
		"geoLocations": [
			{
				"name": "shadow.reported.coordinates",
				"order": "LonLat"
			}
		]
	}
}

  • thingIndexingMode

    The indexing mode controls if registry or shadow is indexed. When thingIndexingMode is set to be OFF, thing indexing is disabled.

    To index location data stored in a classic shadow, you must set thingIndexingMode to be REGISTRY_AND_SHADOW. For more information, see Thing indexing modes.

  • filter

    Indexing filter provides additional selections for named shadows and geolocation data. For more information, see Indexing filter.

  • geoLocations

    The list of geolocation targets that you select to index. The default maximum number of geolocation targets for indexing is 1. To increase the limit, see Amazon IoT Device Management Quotas.

  • name

    The name of the geolocation target field. An example value of name can be the location data path of your shadow: shadow.reported.coordinates.

  • order

    The order of the geolocation target field. Valid values: LatLon and LonLat. LatLon means latitude and longitude. LonLat means longitude and latitude. This field is optional. The default value is LatLon.

If your location data is stored in a named shadow, set namedShadowIndexingMode to be ON, add your named shadow name(s) to the namedShadowNames field in filter, and specify your location data path in the geoLocations field in filter.

In the following thing indexing configuration example, you specify the location data path shadow.name.namedShadow1.reported.coordinates as name and LonLat as order.

{
	"thingIndexingMode": "REGISTRY",
	"namedShadowIndexingMode": "ON",
	"filter": {
		"namedShadowNames": [
			"namedShadow1"
		],
		"geoLocations": [
			{
				"name": "shadow.name.namedShadow1.reported.coordinates",
				"order": "LonLat"
			}
		]
	}
}

  • thingIndexingMode

    The indexing mode controls if registry or shadow is indexed. When thingIndexingMode is set to be OFF, thing indexing is disabled.

    To index location data stored in a named shadow, you must set thingIndexingMode to be REGISTRY (or REGISTRY_AND_SHADOW). For more information, see Thing indexing modes.

  • filter

    Indexing filter provides additional selections for named shadows and geolocation data. For more information, see Indexing filter.

  • geoLocations

    The list of geolocation targets that you select to index. The default maximum number of geolocation targets for indexing is 1. To increase the limit, see Amazon IoT Device Management Quotas.

  • name

    The name of the geolocation target field. An example value of name can be the location data path of your shadow: shadow.name.namedShadow1.reported.coordinates.

  • order

    The order of the geolocation target field. Valid values: LatLon and LonLat. LatLon means latitude and longitude. LonLat means longitude and latitude. This field is optional. The default value is LatLon.

Example geoqueries

After you complete the indexing configuration for your location data, run geoqueries to search for devices. You can also combine your geoqueries with other query strings. For more information, see Query syntax and Example thing queries.

Example query 1

This example assumes the location data is stored in a named shadow gps-tracker. The output of this command is the list of devices that are within the radial distance of 15.5 km from the center point with coordinates (47.6204,-122.3491).

aws iot search-index --query-string \
"shadow.name.gps-tracker.reported.coordinates:geo_distance,47.6204,-122.3491,15.5km"

Example query 2

This example assumes the location data is stored in a classic shadow. The output of this command is the list of devices that are within the radial distance of 15.5 km from the center point with coordinates (47.6204,-122.3491).

aws iot search-index --query-string \
"shadow.reported.coordinates:geo_distance,47.6204,-122.3491,15.5km"

Example query 3

This example assumes the location data is stored in a classic shadow. The output of this command is the list of devices that are not connected and outside the radial distance of 15.5 km from the center point with coordinates (47.6204,-122.3491).

aws iot search-index --query-string \
"connectivity.connected:false AND (NOT shadow.reported.coordinates:geo_distance,47.6204,-122.3491,15.5km)"