DOCS-14900 adding geospatial data setup to geoNear page (mongodb#6107)

* DOCS-14900 adding geospatial data setup to geoNear page

* Update source/includes/geospatial-places-data-setup.rst

Co-authored-by: jeff-allen-mongo <[email protected]>

* Update source/includes/geospatial-places-data-setup.rst

Co-authored-by: jeff-allen-mongo <[email protected]>

* Update source/includes/geospatial-places-data-setup.rst

Co-authored-by: jeff-allen-mongo <[email protected]>

Co-authored-by: jeff-allen-mongo <[email protected]>

Author: ianf-mongodb

source/geospatial-queries.txt

@@ -291,36 +291,12 @@ query, used by each geospatial operations:
      - Flat
      -
 
-Example
--------
+Examples
+--------
 
-Create a collection ``places`` with the following documents:
-
-.. code-block:: javascript
-
-   db.places.insert( {
-       name: "Central Park",
-      location: { type: "Point", coordinates: [ -73.97, 40.77 ] },
-      category: "Parks"
-   } );
-   db.places.insert( {
-      name: "Sara D. Roosevelt Park",
-      location: { type: "Point", coordinates: [ -73.9928, 40.7193 ] },
-      category: "Parks"
-   } );
-   db.places.insert( {
-      name: "Polo Grounds",
-      location: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
-      category: "Stadiums"
-   } );
-
-The following operation creates a ``2dsphere`` index on the
-``location`` field:
-
-.. code-block:: javascript
-
-   db.places.createIndex( { location: "2dsphere" } )
+.. include:: /includes/geospatial-places-data-setup.rst
 
+The ``places`` collection above has a ``2dsphere`` index.
 The following query uses the :query:`$near` operator to return
 documents that are at least 1000 meters from and at most 5000 meters
 from the specified GeoJSON point, sorted in order from nearest to

source/includes/geospatial-places-data-setup.rst

@@ -0,0 +1,28 @@
+Create a collection ``places`` with the following documents:
+
+.. code-block:: javascript
+
+   db.places.insertMany( [
+      {
+         name: "Central Park",
+         location: { type: "Point", coordinates: [ -73.97, 40.77 ] },
+         category: "Parks"
+      },
+      {
+         name: "Sara D. Roosevelt Park",
+         location: { type: "Point", coordinates: [ -73.9928, 40.7193 ] },
+         category: "Parks"
+      },
+      {
+         name: "Polo Grounds",
+         location: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
+         category: "Stadiums"
+      }
+   ] )
+
+The following operation creates a ``2dsphere`` index on the
+``location`` field:
+
+.. code-block:: javascript
+
+   db.places.createIndex( { location: "2dsphere" } )

source/reference/operator/aggregation/geoNear.txt

@@ -204,17 +204,22 @@ When using :pipeline:`$geoNear`, consider that:
 - Starting in version 4.2, :pipeline:`$geoNear` no longer has a default
   limit of 100 documents.
 
-Example
--------
+Examples
+--------
+
+.. include:: /includes/geospatial-places-data-setup.rst
+
+Maximum Distance
+~~~~~~~~~~~~~~~~
 
 .. note::
 
    .. include:: /includes/extracts/4.2-changes-geoNear-limit.rst
 
-Consider a collection ``places`` that has a ``2dsphere`` index. The
-following aggregation uses :pipeline:`$geoNear` to find documents with
-a location at most 2 meters from the center ``[ -73.99279 , 40.719296
-]`` and ``category`` equal to ``Parks``.
+The ``places`` collection above has a ``2dsphere`` index.
+The following aggregation uses :pipeline:`$geoNear` to find documents 
+with a location at most 2 meters from the center 
+``[ -73.99279 , 40.719296 ]`` and ``category`` equal to ``Parks``.
 
 .. code-block:: javascript