Howto map city (non-IP) to geospatial in ES


I have loaded IP data to ES for geospatial visualization in Kibana. Awesome!

Is there a way to map non-IP data (e.g. City, addresses, etc) to ES for geospatial queries?


You would need a database with that information to add a geopoint, but then you'd have to merge those together outside of ES.

I am not sure I understood.

Logstash comes with the GeoLiteCity database with these fields.
From the docs:
For the built-in GeoLiteCity database, the following are available: city_name, continent_code, country_code2, country_code3, country_name, dma_code, ip, latitude, longitude, postal_code, region_name and timezone.

Example row from the GeoLiteCity db

So if my data file has city="Itasca"... can I use the geoip filter like this?

source => "city"
target => "geoip"
add_field => [ "[geoip][coordinates]", "%{[geoip][longitude]}" ]
add_field => [ "[geoip][coordinates]", "%{[geoip][latitude]}" ]

mutate { convert => ["[geoip][coodinates]", "float"] }

Nope because it expects an IP, not a city name.

I wrote some code a while back that integrates city/state info from Geonames into Elasticsearch geopoints. The project is here:

The most relevant files for your question are and

In my case I have job openings, and each one is tied to a city (or multiple cities). I use Geonames to resolve the city to a geopoint and then store that geopoint in the job opening document. Then Elasticsearch geo_distance sorting lets me find the nearest job opening to the searcher's geo location.

Thanks! I will take a look.

I figured. Hopefully an enhancement down the road since the data is available in the geolite db.