A quick how-to on getting offline maps for Unav.
Recently i needed to update my offline map and everytime it's quit a mess to setup an OpenstreetMap local server, lost of hours lost on that. I recently found a docker instance perfect for our needs.
What we need in this how-to
- A linux computer (of-course) with disk space
- Snap of Jtiledownloader installed
- docker.io installed
Optional
- A nextcloud instance
- desktop nextcloud sync software
- Ubsync.
First of all : setting up tile server.
Not much to say, except follow the work of this great Github repository :
https://github.com/Overv/openstreetmap-tile-server
docker volume create openstreetmap-data
git clone https://github.com/Overv/openstreetmap-tile-server.git
cd openstreetmap-tile-server/
What i've done :
docker volume create openstreetmap-data
download the appropriate pbf there : http://download.geofabrik.de/
docker run -v /absolute/path/to/luxembourg.osm.pbf:/data.osm.pbf -v openstreetmap-data:/var/lib/postgresql/10/main overv/openstreetmap-tile-server import
If lucky enough then
docker run -p 80:80 -v openstreetmap-data:/var/lib/postgresql/10/main -d overv/openstreetmap-tile-server run
Std output :
root@T450s:/home/ernest# docker run -v /home/ernest/Documents/texas-latest.osm.pbf:/data.osm.pbf -v openstreetmap-data:/var/lib/postgresql/10/main overv/openstreetmap-tile-server import
Unable to find image 'overv/openstreetmap-tile-server:latest' locally
latest: Pulling from overv/openstreetmap-tile-server
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Digest: sha256:f8c58ef99819eb73adfaee91401b7f23a878f29122fae285734912657f5082da
Status: Downloaded newer image for overv/openstreetmap-tile-server:latest
+ '[' 1 -ne 1 ']'
+ '[' import = import ']'
+ CreatePostgressqlConfig
+ cp /etc/postgresql/10/main/postgresql.custom.conf.tmpl /etc/postgresql/10/main/postgresql.custom.conf
+ sudo -u postgres echo 'autovacuum = on'
+ cat /etc/postgresql/10/main/postgresql.custom.conf
# Suggested minimal settings from
# https://ircama.github.io/osm-carto-tutorials/tile-server-ubuntu/
shared_buffers = 128MB
min_wal_size = 1GB
max_wal_size = 2GB
maintenance_work_mem = 256MB
# Suggested settings from
# https://github.com/openstreetmap/chef/blob/master/roles/tile.rb#L38-L45
max_connections = 250
temp_buffers = 32MB
work_mem = 128MB
wal_buffers = 1024kB
wal_writer_delay = 500ms
commit_delay = 10000
# checkpoint_segments = 60 # unrecognized in psql 10.7.1
max_wal_size = 2880MB
random_page_cost = 1.1
track_activity_query_size = 16384
autovacuum_vacuum_scale_factor = 0.05
autovacuum_analyze_scale_factor = 0.02
autovacuum = on
+ service postgresql start
* Starting PostgreSQL 10 database server
...done.
+ sudo -u postgres createuser renderer
+ sudo -u postgres createdb -E UTF8 -O renderer gis
+ sudo -u postgres psql -d gis -c 'CREATE EXTENSION postgis;'
CREATE EXTENSION
+ sudo -u postgres psql -d gis -c 'CREATE EXTENSION hstore;'
CREATE EXTENSION
+ sudo -u postgres psql -d gis -c 'ALTER TABLE geometry_columns OWNER TO renderer;'
ALTER TABLE
+ sudo -u postgres psql -d gis -c 'ALTER TABLE spatial_ref_sys OWNER TO renderer;'
ALTER TABLE
+ '[' '!' -f /data.osm.pbf ']'
+ sudo -u renderer osm2pgsql -d gis --create --slim -G --hstore --tag-transform-script /home/renderer/src/openstreetmap-carto/openstreetmap-carto.lua -C 2048 --number-processes 4 -S /home/renderer/src/openstreetmap-carto/openstreetmap-carto.style /data.osm.pbf
osm2pgsql version 0.96.0 (64 bit id space)
Allocating memory for dense node cache
Allocating dense node cache in one big chunk
Allocating memory for sparse node cache
Sharing dense sparse
Node-cache: cache=2048MB, maxblocks=32768*65536, allocation method=11
Mid: pgsql, cache=2048
Setting up table: planet_osm_nodes
Setting up table: planet_osm_ways
Setting up table: planet_osm_rels
Using lua based tag processing pipeline with script /home/renderer/src/openstreetmap-carto/openstreetmap-carto.lua
Using projection SRS 3857 (Spherical Mercator)
Setting up table: planet_osm_point
Setting up table: planet_osm_line
Setting up table: planet_osm_polygon
Setting up table: planet_osm_roads
Reading in file: /data.osm.pbf
Using PBF parser.
Processing: Node(44188k 237.6k/s) Way(4610k 12.36k/s) Relation(26670 952.50/s) parse time: 587s
Node stats: total(44188377), max(6434488285) in 186s
Way stats: total(4610012), max(686484151) in 373s
Relation stats: total(26922), max(9523915) in 28s
Sorting data and creating indexes for planet_osm_point
Sorting data and creating indexes for planet_osm_line
Sorting data and creating indexes for planet_osm_polygon
Sorting data and creating indexes for planet_osm_roads
Copying planet_osm_roads to cluster by geometry finished
Creating geometry index on planet_osm_roads
Copying planet_osm_point to cluster by geometry finished
Creating geometry index on planet_osm_point
Creating osm_id index on planet_osm_roads
Creating indexes on planet_osm_roads finished
All indexes on planet_osm_roads created in 20s
Completed planet_osm_roads
Stopping table: planet_osm_nodes
Stopped table: planet_osm_nodes in 0s
Stopping table: planet_osm_ways
Building index on table: planet_osm_ways
Creating osm_id index on planet_osm_point
Creating indexes on planet_osm_point finished
All indexes on planet_osm_point created in 75s
Completed planet_osm_point
Stopping table: planet_osm_rels
Building index on table: planet_osm_rels
Stopped table: planet_osm_rels in 4s
Copying planet_osm_line to cluster by geometry finished
Creating geometry index on planet_osm_line
Creating osm_id index on planet_osm_line
Creating indexes on planet_osm_line finished
All indexes on planet_osm_line created in 218s
Completed planet_osm_line
Copying planet_osm_polygon to cluster by geometry finished
Creating geometry index on planet_osm_polygon
Creating osm_id index on planet_osm_polygon
Creating indexes on planet_osm_polygon finished
All indexes on planet_osm_polygon created in 344s
Completed planet_osm_polygon
Stopped table: planet_osm_ways in 385s
Osm2pgsql took 993s overall
node cache: stored: 44188377(100.00%), storage efficiency: 57.43% (dense blocks: 3386, sparse nodes: 24604874), hit rate: 100.00%
+ service postgresql stop
* Stopping PostgreSQL 10 database server
...done.
+ exit 0
root@T450s:/home/ernest# sudo docker run -p 80:80 -v openstreetmap-data:/var/lib/postgresql/10/main -d overv/openstreetmap-tile-server run
and open in your browser : http://localhost/ done you have a tile server running.
I'm not sure how long the docker instance last and may need to be regenerated each time, fine for me I'm using it every 6 month. Please see the github info, if you want to have an docker instance lasting.
Second step : downloading the tile, for that you need Jtiledownloader
See : http://unav.me/offline/ and the snap store
The configuration is pretty simple : as server enter http://localhost:80/tile. then open "slippy map chooser" you should see the map.
Then select the area of interest (defined with left click), set tile zoom level to 10,11,12,13,14,15,16,17 and click download and wait.
Third step :
transfert to the phone... this is up to you, define as the step 6 there : http://unav.me/offline/
I'm suggesting to zip the folder and extract it in the phone.
Personnally, i'm synchronizing my Jtiledownload folder archive to my nextcloud instance and then this instance to my utouch folder, it's longer but "automatic" update.
I hope it will help to reduce your data consumption 
Restart from scratch
Following thise link to cleanup docker image, container and volume
https://www.digitalocean.com/community/tutorials/how-to-remove-docker-images-containers-and-volumes
