Create custom vector tiles from OpenStreetMap and other data sources with Postgis and Java.

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OpenStreetMap Example

Baremaps aims at being the most productive toolkit for creating custom vector tiles from OpenStreetMap data.

In this tutorial, we’ll learn how to use Baremaps to import OpenStreetMap data in a Postgis database and how to create vector tiles from this data. Notice that the following steps assume that Baremaps and Postgis are installed. Also, if you are in a hurry, consider skipping the “Under the Hood” sections.


OpenStreetMap (OSM) is a free and editable map of the world. It is maintained by a community of passionate volunteers in a way which is similar to Wikipedia. Every week, OpenStreetMap publishes a full dump of its data in two flavours: a large XML file of about 90GB and a more compact binary file of about 50GB in the Protocol Buffer Format (PBF). As processing such large files can take several hours, Geofabrik regularly publishes smaller extracts of OSM for specific regions. In this example we will use a tiny extract of OSM for Liechtenstein, which is suitable for fast experiments.

Importing OpenStreetMap Data

A workflow is a directed acyclic graph of steps executed by Baremaps. To download and import the sample OSM data in Postgres, execute the following workflow.

baremaps workflow execute --file workflow.json

Depending on the size of the OpenStreetMap file, the execution of this command may take some time. Eventually, the output produced by the command should look as follows.

[INFO ] 2022-07-26 09:47:40.906 [main] Workflow - Executing workflow workflow.json
[INFO ] 2022-07-26 09:47:41.208 [pool-2-thread-1] DownloadUrl - Downloading to liechtenstein-latest.osm.pbf
[INFO ] 2022-07-26 09:48:14.496 [pool-2-thread-1] DownloadUrl - Finished downloading to liechtenstein-latest.osm.pbf
[INFO ] 2022-07-26 09:48:14.497 [pool-2-thread-2] ImportOpenStreetMap - Importing liechtenstein-latest.osm.pbf into jdbc:postgresql://localhost:5432/baremaps?&user=baremaps&password=baremaps
[INFO ] 2022-07-26 09:48:14.504 [pool-2-thread-2] HikariDataSource - HikariPool-1 - Starting...
[INFO ] 2022-07-26 09:48:14.669 [pool-2-thread-2] HikariPool - HikariPool-1 - Added connection org.postgresql.jdbc.PgConnection@13d835e3
[INFO ] 2022-07-26 09:48:14.671 [pool-2-thread-2] HikariDataSource - HikariPool-1 - Start completed.
[INFO ] 2022-07-26 09:48:19.172 [pool-2-thread-2] ImportOpenStreetMap - Finished importing liechtenstein-latest.osm.pbf into jdbc:postgresql://localhost:5432/baremaps?&user=baremaps&password=baremaps
[INFO ] 2022-07-26 09:48:19.172 [pool-2-thread-2] HikariDataSource - HikariPool-1 - Shutdown initiated...
[INFO ] 2022-07-26 09:48:19.177 [pool-2-thread-2] HikariDataSource - HikariPool-1 - Shutdown completed.
[INFO ] 2022-07-26 09:48:19.178 [pool-2-thread-3] ExecuteSqlFile - Executing indexes.sql into jdbc:postgresql://localhost:5432/baremaps?&user=baremaps&password=baremaps
[INFO ] 2022-07-26 09:48:19.179 [pool-2-thread-3] HikariDataSource - HikariPool-2 - Starting...
[INFO ] 2022-07-26 09:48:19.213 [pool-2-thread-3] HikariPool - HikariPool-2 - Added connection org.postgresql.jdbc.PgConnection@25c4ab89
[INFO ] 2022-07-26 09:48:19.213 [pool-2-thread-3] HikariDataSource - HikariPool-2 - Start completed.
[INFO ] 2022-07-26 09:48:21.365 [pool-2-thread-3] ExecuteSqlFile - Finished executing indexes.sql into jdbc:postgresql://localhost:5432/baremaps?&user=baremaps&password=baremaps
[INFO ] 2022-07-26 09:48:21.365 [pool-2-thread-3] HikariDataSource - HikariPool-2 - Shutdown initiated...
[INFO ] 2022-07-26 09:48:21.367 [pool-2-thread-3] HikariDataSource - HikariPool-2 - Shutdown completed.
[INFO ] 2022-07-26 09:48:21.368 [main] Workflow - Finished executing workflow workflow.json

Under the Hood (Optional)

What can we learn from this output? First, we notice that Baremaps uses a connection pool to parallelize the import procedure. Then it imports the OSM data, populating the tables previously created. In our case, the input is a file provided by Geofabrik.

OSM’s conceptual model builds upon the notions of nodes, ways and relations. In this normalized data model, a line (or way) is formed by a sequence of points (nodes) referenced by their id. In order to save denormalized geometries in Postgis (e.g. linestring, polygon, multi-polygon, etc.), Baremaps creates a cache for nodes, ways and relations. LMDB is used under the hood to achieve great performance.

After the creation of the cache, Baremaps can populate the database with geometries. The geometries are stored in three tables named after the OSM conceptual model: osm_nodes, osm_ways, and osm_relations. In order to improve performances at query time, Baremaps also creates indexes for the tags and the geometries. The following Figure displays the schema of the Postgis database created by Baremaps.

Postgis database

Creating Vector Tiles

In order to create vector tiles, Baremaps uses JSON configuration files. You can obtain a copy of the tileset.json and style.json file in the repository. The tileset.json is loosely based on the TileJSON specification. It defines general tileset properties and lists layers containing SQL queries to be executed by Postgis. The style.json file is a Maplibre Style. It defines general style and rendering properties.

Let’s preview and edit the map with the sample configuration files by executing the following command in a terminal.

baremaps map dev \
  --database 'jdbc:postgresql://localhost:5432/baremaps?user=baremaps&password=baremaps' \
  --tileset 'tileset.json' \
  --style 'style.json'

Well done, a local development server should have started. You can now visualize a map of Liechtenstein in your browser (http://localhost:9000/)! Notice that the changes in the configuration files are automatically reloaded by the browser.

Under the Hood (Optional)

Baremaps extensively rely on the fantastic ST_AsMVT functions released by the Postgis team to produce Mapbox Vector Tiles. However, in the following excerpt of the json configuration file, none of these concepts appear in the SQL queries.

  "vector_layers": [
      "id": "aeroway",
      "queries": [
          "minzoom": 12,
          "maxzoom": 20,
          "sql": "SELECT id, tags, geom FROM osm_nodes WHERE tags ? 'aeroway'"

Why don’t we see these function calls in the configuration? Baremaps wants you to focus on the content of the tiles, and relieves you from the burden of writing complex SQL queries. In fact, at runtime, Baremaps merges all the queries of the configuration file into a single optimized query that produces vector tiles.

In production, vector tiles are rarely served dynamically. Why is that so? First, a large blob store is much cheaper than a relational database to operate. Second, content delivery networks (CDNs) greatly improve web performances by caching static content close to the end user. Baremaps has been conceived with these lasting trends in mind. The following command produces a local directory containing precomputed static tiles. These tiles can be served with Apache, Nginx, or Caddy, but also copied in a blob store behind a content delivery network, such as Cloudflare, Stackpath, or Fastly.

baremaps map export \
  --database 'jdbc:postgresql://localhost:5432/baremaps?user=baremaps&password=baremaps' \
  --tileset 'tileset.json' \
  --repository 'tiles/'


In this tutorial, we learnt how to import OpenStreetMap data in Postgis and how to create vector tiles with Baremaps. Prior to the release of Baremaps, we believe that creating a pipeline for publishing vector tiles from OpenStreetMap data was a rather time consuming task. As shown in this demonstration, Baremaps literally brings back the fun to creating a web mapping pipeline!

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