geo-distance | geo distance between two locations using longitude | Map library

This is similar to Find closest GeoJSON polygon to point when point lies outside of all polygons in Elasticsearch but instead of returning the closest polygon, I'd like to return all documents that has a polygon closer than a particular distance (say 10 km). I'd like the distance to each polygon to be included in the result and it should be sorted by distance (ascending or descending doesn't matter).

A comment in the referred question pointed to a github issue that has now been resolved (since Elastic Search 7.7) but I cannot seem to figure out how to do it based on the documentation.

Update

After reading the answer by joe I want to clarify that by "distance" I mean the closest distance to the nearest point of the polygon's border. Like what's described in this question for PostGIS.

I am trying to query my index and filtering according to geo-distance at the same time though paginate through my index but I ma getting this error

Error:

Service: Aws ElasticSearch (6.2 Version) Database: dynamodb

I am using aws elastic search service to filter values based on my location. As per the documentation i have created a trigger lambda function dbtoEs which is a python code soon after the record is added its indexed.

Since my location type in dynamodb is type Location { lat: Float lon: Float }

When i go to Aws ElasticSearch and check in indices the mapping type for this field is also location { lat float lon float }

As per the Elastic geo distance query (https://www.elastic.co/guide/en/elasticsearch/reference/6.2/query-dsl-geo-distance-query.html) the mapping type of location should be geo_point

Example of search query filter

I want to calculate the geo-distance between latitude-longitude.

I had checked this thread Vectorizing Haversine distance calculation in Python but when I am using it for two different set of coordinates, I m getting an error.

df1 size can be in millions and if there is any other way to calculate accurate geo distance in less time then it would be really helpful.

Referring to the ES documentation, we can sort on the base of geolocation if lat and lon are both in the same geotype field.

so i have a index for my map points and i need to put some data in it. but it seems it does not register my data as a valid input for pin.location .

I have tried all i could get from https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-geo-distance-query.html and still this does not work

This is where i set the index:

Is there a way I can combine geo bounding box(https://bonsai.io/blog/efficient-sorting-of-geo-distances-in-elasticsearch) with distance.Basically I want to get data within geo bounding box of 100 kms. ie top_left lat/long will be 50 km from center lat/long and same for bottom_right.

I am trying to compute geo-distance based on the coordinates from the previous row. Is there a way to compute without adding extra columns to the data-frame?

Sample code:

I'm trying to get table entries with a native query based on geolocation, using MariaDB 10.0.36 (with innodb engine) and Spring Data.

Here is my method signature: