geo-type

geo-type

For the complete MongoDB documentation index, see www.mongodb.com/docs/llms.txt

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How to Index GeoJSON Objects

Use the MongoDB Search geo field type to index geographic points and shape coordinates. The indexed field must be a GeoJSON object. After you index a field as geo, you can query it using the [geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref and [geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref operators.

You can use the MongoDB Search geo type to index geographic points and shape coordinates. For this type, the indexed field must be a [GeoJSON](https://www.mongodb.com/docs/manual/reference/geojson.md#std-label-geospatial-indexes-store-geojson object. You can use the [geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref and [geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref operators to query indexed fields of type geo.

geo type is not included in the dynamic mapping by default. To index fields as geo type, you can use [static mappings](https://www.mongodb.com/docs/search/indexes/define-field-mappings.md#std-label-static-dynamic-mappings or configure a typeSet to include geo in dynamic mapping.

Define the Index for the `geo` Type

Retrieve your Service Account access token for the project.

Use your service account to generate an access token, which authenticates your requests to the Atlas Administration API. To learn how to generate an access token, see [Make an API (Application Programming Interface) Request.](https://www.mongodb.com/docs/atlas/configure-api-access.md#std-label-example-api-request

Make an API (Application Programming Interface) call.

Replace the following values in the curl command below. This command sends a POST request to your cluster to create a MongoDB Search index with the geo field type.

Replace {ACCESS-TOKEN} with the output from the preceding step
Replace {groupId} with the project ID of the project where you want to create the MongoDB Search index
Replace {clusterName} with the name of the cluster where you want to create the MongoDB Search index

```shell curl --header "Authorization: Bearer ${ACCESS_TOKEN}" \ --header "Accept: application/vnd.atlas.2025-03-12+json" \ --header "Content-Type: application/json" \ -X POST "https://cloud.mongodb.com/api/atlas/v2/groups/{groupId}/clusters/{clusterName}/search/indexes" \ -d '{ "collectionName": "", "database": "", "name": "default", "type": "search", "definition": { "mappings": { "dynamic": true|false, "fields": { "": { "type": "geo", "indexShapes": true|false } } } } }'

```

Configure `geo` Field Properties

The MongoDB Search geo type takes the following parameters:

Option	Type	Necessity	Description	Default
`type`	string	Required	Human-readable label that identifies this field type. UI value must be `Geo` and JSON (Javascript Object Notation) value must be `geo`.
`indexShapes`	boolean	Optional	Flag that indicates whether to index shapes. By default, MongoDB Search: Indexes points, even when nested.; Doesn't index shape geometries such as lines and polygons. Value can be: `true` to index shapes and points; `false` to index only points	`false`

Try an Example for the `geo` Type

The following index definition examples use collections in the [sample data](https://www.mongodb.com/docs/manual/sample-data.md#std-label-available-sample-datasets. After you [load the sample data](https://www.mongodb.com/docs/atlas/import/load-sample-data.md#std-label-load-sample-data, you can use these examples to index fields as the geo type.

To learn how to set up and run the following example code, see [Define the Index for the token Type](https://www.mongodb.com/docs/search/indexes/field-types/token-type.md#std-label-define-index-token-admin-api.

The following index definition for the sample_airbnb.listingsAndReviews collection indexes the address.location field as the geo type. This index allows you to query against that field by using the MongoDB Search [geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref and [geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref operators.

curl --header "Authorization: Bearer ${ACCESS_TOKEN}" \
    --header "Accept: application/vnd.atlas.2025-03-12+json" \
    --header "Content-Type: application/json" \
    -X POST "https://cloud.mongodb.com/api/atlas/v2/groups/{groupId}/clusters/{clusterName}/search/indexes" \
    -d '{ "collectionName": "listingsAndReviews",
        "database": "sample_airbnb",
        "name": "default",
        "type": "search",
        "definition": {
            "mappings": {
              "dynamic": false,
              "fields": {
                "address": {
                  "type": "document",
                    "fields": {
                        "location": {
                        "type": "geo",
                        "indexShapes": true
                        }
                    }
                }
              }
            }
        }
    }'

Learn More

To learn more about the operators you can use to query the geo type, see the following operator reference pages:

[geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref
[geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref

Define the Index for the `geo` Type

Create a search-index.json configuration file and specify the geo type.

```json { "name": "default", "collectionName": "", "database": "", "mappings": { "dynamic": true|false, "fields": { "": { "type": "geo", "indexShapes": true|false } } } }

```

Connect to the Atlas CLI

In your terminal, connect to your cluster from the Atlas CLI. To learn more, see Connect from the Atlas CLI.

Create a MongoDB Search index.

Run the atlas clusters search indexes create command in your terminal, replacing <clusterName> with the name of the cluster, and <path-to-file> with the path to the search-index.json file:

```shell atlas clusters search indexes create --clusterName --file

```

Configure `geo` Field Properties

The MongoDB Search geo type takes the following parameters:

Option	Type	Necessity	Description	Default
`type`	string	Required	Human-readable label that identifies this field type. UI value must be `Geo` and JSON (Javascript Object Notation) value must be `geo`.
`indexShapes`	boolean	Optional	Flag that indicates whether to index shapes. By default, MongoDB Search: Indexes points, even when nested.; Doesn't index shape geometries such as lines and polygons. Value can be: `true` to index shapes and points; `false` to index only points	`false`

Try an Example for the `geo` Type

{
  "name": "default",
  "collectionName": "listingsAndReviews",
  "database": "sample_airbnb",
  "mappings": {
    "dynamic": false,
    "fields": {
      "address": {
        "type": "document",
        "fields": {
          "location": {
            "type": "geo",
            "indexShapes": true
          }
        }
      }
    }
  }
}

Learn More

To learn more about the operators you can use to query the geo type, see the following operator reference pages:

[geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref
[geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref

Define the Index for the `geo` Type

Connect to your cluster using MongoDB Compass.

Open Compass and connect to your cluster. For detailed instructions, see [Connect to a Cluster via Compass.](https://www.mongodb.com/docs/atlas/compass-connection.md#std-label-atlas-connect-via-compass

Specify the database and collection.

On the Database screen, click the name of the database, then click the name of the collection.

Create the MongoDB Search index.

Click the Indexes tab, then select Search Indexes.

Click Create Atlas Search Index to open the index creation dialog box.

Specify a name for the index.

Your MongoDB Search index is named default by default. If you keep this name, then your index will be the default Search index for any MongoDB Search query that does not specify a different index option in its [operators](https://www.mongodb.com/docs/search/query/operators-collectors/overview.md#std-label-fts-operators. If you are creating multiple indexes, we recommend that you maintain a consistent, descriptive naming convention across your indexes.

Specify the JSON (Javascript Object Notation) MongoDB Search index definition.

```json { "mappings": { "dynamic": true|false, "fields": { "": { "type": "geo", "indexShapes": true|false } } } }

```

Click Create Search Index.

Configure `geo` Field Properties

The MongoDB Search geo type takes the following parameters:

Option	Type	Necessity	Description	Default
`type`	string	Required	Human-readable label that identifies this field type. UI value must be `Geo` and JSON (Javascript Object Notation) value must be `geo`.
`indexShapes`	boolean	Optional	Flag that indicates whether to index shapes. By default, MongoDB Search: Indexes points, even when nested.; Doesn't index shape geometries such as lines and polygons. Value can be: `true` to index shapes and points; `false` to index only points	`false`

Try an Example for the `geo` Type

{
  "mappings": {
    "dynamic": false,
    "fields": {
      "address": {
        "type": "document",
        "fields": {
          "location": {
            "type": "geo",
            "indexShapes": true
          }
        }
      }
    }
  }
}

Learn More

To learn more about the operators you can use to query the geo type, see the following operator reference pages:

[geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref
[geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref

Define the Index for the `geo` Type

Connect to the deployment by using mongosh.

In your terminal, connect to your Atlas cloud-hosted deployment or local deployment from [mongosh](https://www.mongodb.com/docs/mongodb-shell.md#mongodb-binary-bin.mongosh. For detailed instructions on how to connect, see Connect to a Deployment.

Switch to the database that contains the collection for which you want to create the index.

shell use <database>

Output:

shell switched to db <database>

Run the db.collection.createSearchIndex() method to create the index.

shell db.<collection>.createSearchIndex( "default", { "mappings": { "dynamic": false, "fields": { "<field-name>": { "type": "geo", "indexShapes": true|false } } } } )

Output:

text default

Configure `geo` Field Properties

The MongoDB Search geo type takes the following parameters:

Option	Type	Necessity	Description	Default
`type`	string	Required	Human-readable label that identifies this field type. UI value must be `Geo` and JSON (Javascript Object Notation) value must be `geo`.
`indexShapes`	boolean	Optional	Flag that indicates whether to index shapes. By default, MongoDB Search: Indexes points, even when nested.; Doesn't index shape geometries such as lines and polygons. Value can be: `true` to index shapes and points; `false` to index only points	`false`

Try an Example for the `geo` Type

db.listingsAndReviews.createSearchIndex(
    "default",
    {
    "mappings": {
        "dynamic": false,
        "fields": {
            "address": {
                "fields" : {
                    "location": {
                        "type": "geo",
                        "indexShapes": true
                    }
                }
            }
        }
    }}
)

Learn More

To learn more about the operators you can use to query the geo type, see the following operator reference pages:

[geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref
[geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref

Define the Index for the `geo` Type

Choose your preferred configuration method in the Atlas UI and then select the database and collection.

Visual Editor

Click Refine Your Index to configure your index.
In the Field Mappings section, click Add Field Mapping to open the Add Field Mapping window.
Click Customized Configuration.
Select the field to index from the Field Name dropdown.

Note:

You can't index fields that contain the dollar ($) sign at the start of the field name.

Click the Data Type dropdown and select Geo.
Configure the field properties for the geo type. To learn more, see [Field Properties](https://www.mongodb.com/docs/search/indexes/field-types/uuid-type.md#std-label-fts-field-types-uuid-options.
Click Add.

Configure `geo` Field Properties

The MongoDB Search geo type takes the following parameters:

Option	Type	Necessity	Description	Default
`type`	string	Required	Human-readable label that identifies this field type. UI value must be `Geo` and JSON (Javascript Object Notation) value must be `geo`.
`indexShapes`	boolean	Optional	Flag that indicates whether to index shapes. By default, MongoDB Search: Indexes points, even when nested.; Doesn't index shape geometries such as lines and polygons. Value can be: `true` to index shapes and points; `false` to index only points	`false`

Try an Example for the `geo` Type

Visual Editor

In the Add Field Mapping window, select address.location from the Field Name dropdown.
Click the Data Type dropdown and select Geo.
Modify the Geo Properties to set the value for Index Shapes to true.
Click Add.

Learn More

To learn more about the operators you can use to query the geo type, see the following operator reference pages:

[geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref
[geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref

Define the Index for the `geo` Type

Set up the C project.

In your terminal, navigate to where you want to create your application, then run the following command to create a directory called atlas-search-project for this project:

shell # Create a new directory for the project mkdir atlas-search-project && cd atlas-search-project

Add the C driver to your project by following the instructions in the MongoDB C Driver documentation.

Define the index.

Create a create_index.c file in your project directory, and copy and paste the following code into the file.

```c #include #include

int main(int argc, char argv[]) { mongoc_client_t client; mongoc_collection_t collection; bson_error_t error; bson_t cmd; bson_t index_definition; bool success;

   /* Initialize the MongoDB C Driver. */
   mongoc_init();

   /* Connect to your MongoDB deployment. */
   client = mongoc_client_new("<connection-string>");
   collection = mongoc_client_get_collection (client, "<database>", "<collection>");

   if (!client) {
       fprintf(stderr, "Failed to create client.\n");
       return 1;
   }

   /* Create the MongoDB Search index definition for the geo field. */
   char *cmd_str = bson_strdup_printf (
       BSON_STR ({
           "createSearchIndexes": "%s",
           "indexes": [{
               "name": "default",
               "definition": {
                   "mappings": {
                       "dynamic": true|false,
                       "fields": {
                           "<field-name>": {
                               "type": "geo",
                               "indexShapes": true|false
                           }
                       }
                   }
               }
           }]
       }),
       "<collection>"
   );
   bson_init_from_json (&cmd, cmd_str, -1, &error);
   bson_free (cmd_str);

   if (mongoc_collection_command_simple (collection, &cmd, NULL, NULL, &error)) {
       printf ("Index created!\n");
   } else {
       fprintf (stderr, "Failed to create search index: %s", error.message);
   }

   /* Clean up. */
   bson_destroy (&cmd);
   mongoc_collection_destroy (collection);
   mongoc_client_destroy(client);
   mongoc_cleanup();

   return 0;

} ```

Replace <connection-string> with the connection string for your Atlas cluster or local Atlas deployment.

To learn more about finding your connection string, see [Connect to a Cluster via Client Libraries.](https://www.mongodb.com/docs/atlas/driver-connection.md#std-label-connect-via-driver

Note:

For a local or self-managed deployment, your connection string should use the following format:

text mongodb://localhost:<port-number>/?directConnection=true

To learn more, see [Connection Strings.](https://www.mongodb.com/docs/manual/reference/connection-string.md#std-label-mongodb-uri

Set up a CMake application

To configure your application, create a CMakeLists.txt file in your project directory. Then, add the following code to the file:

```txt cmake_minimum_required(VERSION 3.11) project(atlas-search-index LANGUAGES C) add_executable (index.out create_index.c) find_package(mongoc REQUIRED) target_link_libraries(index.out mongoc::mongoc)

```

The preceding code performs the following actions:

Configures a C project.
Creates a index.out executable for your application.
Finds and requires the C driver. Replace the <version> placeholder with your C driver version, such as 2.0.0.
Links the program to the libmongoc library.

Note:

In the sample CMakeLists.txt file, the mongoc::mongoc target points to either the static library or the shared library. The library type depends on which one is available and whichever type the user specifies in the MONGOC_DEFAULT_IMPORTED_LIBRARY_TYPE CMake configuration setting. If you don't set this value and both library types are available, mongoc::mongoc uses the static library.

You can use the mongoc::static target to explicitly use the static library or the mongoc::shared target to use the shared library.

Create the index.

In your terminal, run the following commands to build and run this application:

shell cmake -S. -Bcmake-build cmake --build cmake-build --target index.out ./cmake-build/index.out

Output:

text Index created!

Configure `geo` Field Properties

The MongoDB Search geo type takes the following parameters:

Option	Type	Necessity	Description	Default
`type`	string	Required	Human-readable label that identifies this field type. UI value must be `Geo` and JSON (Javascript Object Notation) value must be `geo`.
`indexShapes`	boolean	Optional	Flag that indicates whether to index shapes. By default, MongoDB Search: Indexes points, even when nested.; Doesn't index shape geometries such as lines and polygons. Value can be: `true` to index shapes and points; `false` to index only points	`false`

Try an Example for the `geo` Type

#include <mongoc/mongoc.h>
#include <stdio.h>

int main(int argc, char *argv[]) {
    mongoc_client_t *client;
    mongoc_collection_t *collection;
    bson_error_t error;
    bson_t cmd;
    bson_t *index_definition;
    bool success;

    /* Initialize the MongoDB C Driver. */
    mongoc_init();

    /* Connect to your MongoDB deployment. */
    client = mongoc_client_new("<connection-string>");
    collection = mongoc_client_get_collection (client, "sample_airbnb", "listingsAndReviews");

    if (!client) {
        fprintf(stderr, "Failed to create client.\n");
        return 1;
    }

    /* Create the MongoDB Search index definition for the geo field. */
    char *cmd_str = bson_strdup_printf (
        BSON_STR ({
            "createSearchIndexes": "%s",
            "indexes": [{
                "name": "default",
                "definition": {
                    "mappings": {
                        "dynamic": false,
                        "fields": {
                            "address": {
                                "type": "document",
                                "fields": {
                                    "location": {
                                        "type": "geo",
                                        "indexShapes": true
                                    }
                                }
                            }
                        }
                    }
                }
            }]
        }),
        "listingsAndReviews"
    );
    bson_init_from_json (&cmd, cmd_str, -1, &error);
    bson_free (cmd_str);

    if (mongoc_collection_command_simple (collection, &cmd, NULL, NULL, &error)) {
        printf ("Index created!\n");
    } else {
        fprintf (stderr, "Failed to create search index: %s", error.message);
    }

    /* Clean up. */
    bson_destroy (&cmd);
    mongoc_collection_destroy (collection);
    mongoc_client_destroy(client);
    mongoc_cleanup();

    return 0;
}

Learn More

To learn more about the operators you can use to query the geo type, see the following operator reference pages:

[geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref
[geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref

Define the Index for the `geo` Type

Set up and initialize the .NET/C# project.

In your terminal, navigate to where you want to create your application, then run the following command to create a directory called atlas-search-project and initialize your project in that directory:

```shell # Create a new directory and initialize the project mkdir atlas-search-project && cd atlas-search-project dotnet new console

# Add the MongoDB .NET/C# Driver to your project dotnet add package MongoDB.Driver ```

For more detailed installation instructions, see the MongoDB .NET/C# Driver documentation.

Define the index.

Paste the following code into the Program.cs file.

```csharp using MongoDB.Bson; using MongoDB.Driver;

// Replace the connection string with your MongoDB deployment's connection string var uri = "";

var client = new MongoClient(uri);

var db = client.GetDatabase(""); var collection = db.GetCollection("");

// Create the MongoDB Search index definition for the geo field var index = new CreateSearchIndexModel( "default", new BsonDocument { { "mappings", new BsonDocument { { "dynamic", true|false }, { "fields", new BsonDocument { { "", new BsonDocument { { "type", "geo" }, { "indexShapes", true|false } } } } } } } });

var result = collection.SearchIndexes.CreateOne(index); Console.WriteLine($"New index name: {result}"); ```

Replace <connection-string> with the connection string for your Atlas cluster or local Atlas deployment.

To learn more about finding your connection string, see [Connect to a Cluster via Client Libraries.](https://www.mongodb.com/docs/atlas/driver-connection.md#std-label-connect-via-driver

Note:

For a local or self-managed deployment, your connection string should use the following format:

text mongodb://localhost:<port-number>/?directConnection=true

To learn more, see [Connection Strings.](https://www.mongodb.com/docs/manual/reference/connection-string.md#std-label-mongodb-uri

Create the index.

shell dotnet run Program.cs

Output:

text New index name: default

Configure `geo` Field Properties

The MongoDB Search geo type takes the following parameters:

Option	Type	Necessity	Description	Default
`type`	string	Required	Human-readable label that identifies this field type. UI value must be `Geo` and JSON (Javascript Object Notation) value must be `geo`.
`indexShapes`	boolean	Optional	Flag that indicates whether to index shapes. By default, MongoDB Search: Indexes points, even when nested.; Doesn't index shape geometries such as lines and polygons. Value can be: `true` to index shapes and points; `false` to index only points	`false`

Try an Example for the `geo` Type

using MongoDB.Bson;
using MongoDB.Driver;

// Replace the connection string with your MongoDB deployment's connection string
var uri = "<connection-string>";

var client = new MongoClient(uri);

var db = client.GetDatabase("sample_airbnb");
var collection = db.GetCollection<BsonDocument>("listingsAndReviews");

// Create the MongoDB Search index definition for the geo field
var index =  new CreateSearchIndexModel(
  "default", new BsonDocument
  {
    { "mappings", new BsonDocument
      {
        { "dynamic", false },
        { "fields", new BsonDocument
          {
            { "address", new BsonDocument
              {
                { "type", "document" },
                { "fields", new BsonDocument
                  {
                    { "location", new BsonDocument
                      {
                        { "type", "geo" },
                        { "indexShapes", true }
                      }
                    }
                  }
                }
              }
            }
          }
        }
      }
    }
  });

var result = collection.SearchIndexes.CreateOne(index);
Console.WriteLine($"New index name: {result}");

Learn More

To learn more about the operators you can use to query the geo type, see the following operator reference pages:

[geoShape](https://www.mongodb.com/docs/search/query/operators-collectors/geoshape.md#std-label-geoshape-ref
[geoWithin](https://www.mongodb.com/docs/search/query/operators-collectors/geowithin.md#std-label-geowithin-ref

Define the Index for the `geo` Type

Set up the C++ project.

In your terminal, navigate to where you want to create your application, then run the following command to create a directory called atlas-search-project for this project:

shell # Create a new directory for the project mkdir atlas-search-project && cd atlas-search-project

For more detailed installation instructions, see the MongoDB C++ Driver documentation.

Define the index.

Create a CreateIndex.cpp file in your project directory, and copy and paste the following code into the file.

```cpp #include

#include #include #include #include #include

using bsoncxx::builder::basic::kvp; using bsoncxx::builder::basic::make_document;

int main() { // Initialize the MongoDB C++ driver mongocxx::instance instance{};

   // Connect to your MongoDB deployment
   mongocxx::uri uri("<connection-string>");
   mongocxx::client client(uri);

   auto db = client["<database>"];
   auto collection = db["<collection>"];
   auto siv = collection.search_indexes();

   // Create the MongoDB Search index definition for the geo field
   auto name = "default";
   auto definition = make_document(
       kvp("mappings", make_document(
           kvp("dynamic", true|false),
           kvp("fields", make_document(
               kvp("<field-name>", make_document(
                   kvp("type", "geo"),
                   kvp("indexShapes", true|false)
               ))
           ))
       ))
   );
   auto model = mongocxx::search_index_model(name, definition.view());

   try {
       // Execute the command to create the index
       auto result = siv.create_one(model);
       std::cout << "New index name: " << result << std::endl;
   } catch (const std::exception& e) {
       std::cerr << "Error creating Atlas Search index: " << e.what() << std::endl;
   }

} ```

Replace <connection-string> with the connection string for your Atlas cluster or local Atlas deployment.

To learn more about finding your connection string, see [Connect to a Cluster via Client Libraries.](https://www.mongodb.com/docs/atlas/driver-connection.md#std-label-connect-via-driver

Note:

For a local or self-managed deployment, your connection string should use the following format:

text mongodb://localhost:<port-number>/?directConnection=true

To learn more, see [Connection Strings.](https://www.mongodb.com/docs/manual/reference/connection-string.md#std-label-mongodb-uri

Create the index.

shell c++ --std=c++17 CreateIndex.cpp $(pkg-config --cflags --libs libmongocxx) -o ./app.out ./app.out

Output:

text New index name: default

Tip: MacOS Error

MacOS users might see the following error after running the preceding commands:

sh dyld[54430]: Library not loaded: @rpath/libmongocxx._noabi.dylib

To resolve this error, use the -Wl,``-rpath`` linker option to set the @rpath, as shown in the following code:

sh c++ --std=c++17 CreateIndex.cpp -Wl,-rpath,/usr/local/lib/ $(pkg-config --cflags --libs libmongocxx) -o ./app.out ./app.out

Configure `geo` Field Properties

The MongoDB Search geo type takes the following parameters:

Option	Type	Necessity	Description	Default
`type`	string	Required	Human-readable label that identifies this field type. UI value must be `Geo` and JSON (Javascript Object Notation) value must be `geo`.
`indexShapes`	boolean	Optional	Flag that indicates whether to index shapes. By default, MongoDB Search: Indexes points, even when nested.; Doesn't index shape geometries such as lines and polygons. Value can be: `true` to index shapes and points; `false` to index only points	`false`

Try an Example for the `geo` Type

The following index definition examples use collection

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faq

geo-type

How to Index GeoJSON Objects

Define the Index for the geo Type

Configure geo Field Properties

Try an Example for the geo Type

Learn More

Define the Index for the geo Type

Configure geo Field Properties

Try an Example for the geo Type

Learn More

Define the Index for the geo Type

Configure geo Field Properties

Try an Example for the geo Type

Learn More

Define the Index for the geo Type

Configure geo Field Properties

Try an Example for the geo Type

Learn More

Define the Index for the geo Type

Visual Editor

Configure geo Field Properties

Try an Example for the geo Type

Visual Editor

Learn More

Define the Index for the geo Type

Configure geo Field Properties

Try an Example for the geo Type

Learn More

Define the Index for the geo Type

Configure geo Field Properties

Try an Example for the geo Type

Learn More

Define the Index for the geo Type

Configure geo Field Properties

Try an Example for the geo Type

Define the Index for the `geo` Type

Configure `geo` Field Properties

Try an Example for the `geo` Type

Define the Index for the `geo` Type

Configure `geo` Field Properties

Try an Example for the `geo` Type

Define the Index for the `geo` Type

Configure `geo` Field Properties

Try an Example for the `geo` Type

Define the Index for the `geo` Type

Configure `geo` Field Properties

Try an Example for the `geo` Type

Define the Index for the `geo` Type

Configure `geo` Field Properties

Try an Example for the `geo` Type

Define the Index for the `geo` Type

Configure `geo` Field Properties

Try an Example for the `geo` Type

Define the Index for the `geo` Type

Configure `geo` Field Properties

Try an Example for the `geo` Type

Define the Index for the `geo` Type

Configure `geo` Field Properties

Try an Example for the `geo` Type