This repository is part of the Pelias project. Pelias is an open-source, open-data geocoder built by Mapzen that also powers Mapzen Search. Our official user documentation is here.
 |
The openstreetmap importer provides a way of parsing, mapping and augmenting OSM data in to elasticsearch. |
|---|
- NodeJS
4.0.0or newer (the latest in the Node 4 series is currently recommended) - Elasticsearch 2.3+ (support for version 1.x has been deprecated).
Since this module is just one part of our geocoder, we'd recommend starting with our Vagrant image for quick setup, or our full installation docs to use this module.
$ git clone https://github.com/pelias/openstreetmap.git && cd openstreetmap;
$ npm installThe importer will accept any valid pbf extract you have, this can be a full planet file (25GB+) from http://planet.openstreetmap.org/ or a smaller extract from https://mapzen.com/metro-extracts/ or http://download.geofabrik.de/
PRO-TIP: Currently, this module only supports the input of a single pbf file at a time, but we wish to support multiple files.
In order to tell the importer the location of your downloads, temp space and environmental settings you will first need to create a ~/pelias.json file.
See the config documentation for details on the structure of this file. Your relevant config info for the openstreetmap module might look something like this:
"openstreetmap": {
"datapath": "/mnt/pelias/openstreetmap",
"adminLookup": false,
"leveldbpath": "/tmp",
"import": [{
"filename": "london_england.osm.pbf"
}]
}imports.openstreetmap.datapath- this is the directory which you downloaded the pbf file toimports.openstreetmap.import[0].filename- this is the name of the pbf file you downloadedimports.openstreetmap.leveldbpath- this is the directory where temporary files will be stored in order to denormalize osm ways, in the case of a planet import it is best to have 100GB free so you don't run out of disk.
PRO-TIP: If your paths point to an SSD rather than a HDD then you will get a significant speed boost, although this is not required.
Most OSM data doesn't have a full administrative hierarchy (ie, country, state, county, etc. names), but it can be calculated using data from Who's on First. See the readme for pelias/wof-admin-lookup for more information.
Set the imports.openstreetmap.adminLookup property in pelias.json to true to enable admin lookup.
This will start the import process, it will take around 30 seconds to prime it's in-memory data and then you should see regular debugging output in the terminal.
$ PELIAS_CONFIG=<path_to_config_json> npm startIngestion time varies from machine-to-machine but as a general guide it takes about 7 minutes to import 125,000 points-of-interest & 140,000 street addresses covering the city of London on a quad-core 2.x GHZ machine with an SSD.
These counts are of records containing valid location names to search on, data which is not directly searchable by the end user is not imported.
If you are looking to run a planet-wide cluster like the one we provide at https://search.mapzen.com/ please get in contact for more information from our ops team.
If you have any issues getting set up or the documentation is missing something, please open an issue here: https://github.com/pelias/openstreetmap/issues
Please fork and pull request against upstream master on a feature branch.
Pretty please; provide unit tests and script fixtures in the test directory.
A .jshintrc file is provided which contains a linting config, usually your text editor will understand this config and give you inline hints on code style and readability.
These settings are strictly enforced when you do a git commit, you can execute git commit at any time to run the linter against your code.
$ npm testThese tests run the entire pipeline against a small PBF extract to assert that the individual units work as expected when wired together.
$ npm run end-to-end$ npm run coverageTravis tests every change against Node.js version 4 and 6.