Skip to content

Latest commit

 

History

History
214 lines (163 loc) · 7.54 KB

README.md

File metadata and controls

214 lines (163 loc) · 7.54 KB
Raw

photon

Build Status

Photon is an open source geocoder built for OpenStreetMap data. It is based on elasticsearch - an efficient, powerful and highly scalable search platform.

Photon was started by komoot and provides search-as-you-type and multilingual support. It's used in production with thousands of requests per minute at www.komoot.de. Find our public API and demo on photon.komoot.de.

Contribution

All code contributions and bug reports are welcome!

For questions please send an email to our mailing list https://lists.openstreetmap.org/listinfo/photon

Feel free to test and participate!

Licence

Photon software is open source and licensed under Apache License, Version 2.0

Features

  • high performance
  • highly scalability
  • search-as-you-type
  • multilingual search
  • location bias
  • typo tolerance
  • filter by osm tag and value
  • reverse geocode a coordinate to an address
  • OSM data import (built upon Nominatim) inclusive continuous updates

Installation

photon requires java, at least version 8.

Download the search index (53G gb compressed, worldwide coverage, languages: English, German, French and Italian). The search index is updated weekly and thankfully provided by GraphHopper with the support of lonvia.

Make sure you have bzip2 or pbzip2 installed and execute one of these two commands in your shell. This will download, uncompress and extract the huge database in one step:

wget -O - http://download1.graphhopper.com/public/photon-db-latest.tar.bz2 | bzip2 -cd | tar x
# you can significantly speed up extracting using pbzip2 (recommended):
wget -O - http://download1.graphhopper.com/public/photon-db-latest.tar.bz2 | pbzip2 -cd | tar x

Now get photon, at least 0.3, from the releases and start it:

java -jar photon-*.jar

Use the -data-dir option if the data is not in the default location ./photon_data. Before you request photon ElasticSearch needs to load some data into memory so be patient for a few seconds.

To use an older version of ElasticSearch please download the data from here (Nov 2017) via wget as described above and use version 0.2.7 of photon (Oct 2016).

Check the URL http://localhost:2322/api?q=berlin to see if photon is running without problems. You may want to use our leaflet plugin to see the results on a map.

discover more of photon's feature with its usage java -jar photon-*.jar -h.

Customized Search Data

If you need search data in other languages or restricted to a country you will need to create your search data by your own. Once you have your nominatim database ready, you can import the data to photon.

If you haven't already set a password for your nominatim database user, do it now (change user name and password as you like, below):

su postgres
psql
ALTER USER nominatim WITH ENCRYPTED PASSWORD 'mysecretpassword';

Import the data to photon:

java -jar photon-*.jar -nominatim-import -host localhost -port 5432 -database nominatim -user nominatim -password mysecretpassword -languages es,fr

The import of worldwide data set will take some hours/days, ssd disk are recommended to accelerate nominatim queries.

Updating from OSM via Nominatim

In order to update nominatim from OSM and then photon from nominatim, you must start photon with the nominatim database credentials on the command line:

java -jar photon-*.jar -host localhost -port 5432 -database nominatim -user nominatim -password ...

A nominatim setup is also a requirement to have continuous updates. To keep nominatim in sync with the latest OSM changes and to update photon with nominatim afterwards run:

export NOMINATIM_DIR=/home/nominatim/...
./continuously_update_from_nominatim.sh

If you have updated nominatim with another method, photon can be updated by making a HTTP GET request to /nominatim-update, e.g. with this command:

curl http://localhost:2322/nominatim-update

Search API

Search

http://localhost:2322/api?q=berlin

Search with Location Bias

http://localhost:2322/api?q=berlin&lon=10&lat=52

Increase this bias (range is 0.1 to 10, default is 1.6)

http://localhost:2322/api?q=berlin&lon=10&lat=52&location_bias_scale=2

Reverse geocode a coordinate

http://localhost:2322/reverse?lon=10&lat=52

Adapt Number of Results

http://localhost:2322/api?q=berlin&limit=2

Adjust Language

http://localhost:2322/api?q=berlin&lang=it

Filter results by tags and values

Note: not all tags on link in the title are supported. Please see nominatim source for an accurate list. If one or many query parameters named osm_tag are present, photon will attempt to filter results by those tags. In general, here is the expected format (syntax) for the value of osm_tag request parameters.

  1. Include places with tag: osm_tag=key:value
  2. Exclude places with tag: osm_tag=!key:value
  3. Include places with tag key: osm_tag=key
  4. Include places with tag value: osm_tag=:value
  5. Exclude places with tag key: osm_tag=!key
  6. Exclude places with tag value: osm_tag=:!value

For example, to search for all places named berlin with tag of tourism=museum, one should construct url as follows:

http://localhost:2322/api?q=berlin&osm_tag=tourism:museum

Or, just by they key

http://localhost:2322/api?q=berlin&osm_tag=tourism

Results as GeoJSON

{
  "features": [
    {
      "properties": {
        "name": "Berlin",
        "state": "Berlin",
        "country": "Germany",
        "osm_key": "place",
        "osm_value": "city",
        "osm_type": "N",
        "osm_id": 240109189
      },
      "type": "Feature",
      "geometry": {
        "type": "Point",
        "coordinates": [
          13.3888599,
          52.5170365
        ]
      }
    },
    {
      "properties": {
        "name": "Berlin Olympic Stadium",
        "street": "Olympischer Platz",
        "housenumber": "3",
        "postcode": "14053",
        "state": "Berlin",
        "country": "Germany",
        "osm_key": "leisure",
        "osm_value": "stadium",
        "osm_type": "W",
        "osm_id": 38862723,
        "extent": [
          13.23727,
          52.5157151,
          13.241757,
          52.5135972
        ]
      },
      "type": "Feature",
      "geometry": {
        "type": "Point",
        "coordinates": [
          13.239514674078611,
          52.51467945
        ]
      }
    }]
  }

Related Projects

  • Photon's search configuration was developed with a specific test framework. It is written in Python and hosted separately.
  • R packge to access photon's public API with R