#postgis #postgresql #geo-json #database #osm-pbf #performance #optimization

app popgis

A blazing fast way to insert GeoJSON, ShapeFile & OsmPBF into a PostGIS database

8 unstable releases (3 breaking)

0.5.0 Sep 11, 2024
0.4.0 Sep 7, 2024
0.3.4 Jul 24, 2024
0.2.0 Jul 8, 2024

#40 in Geospatial

Download history 149/week @ 2024-07-22 4/week @ 2024-07-29 180/week @ 2024-09-02 114/week @ 2024-09-09 34/week @ 2024-09-16 21/week @ 2024-09-23 8/week @ 2024-09-30 1/week @ 2024-10-07

623 downloads per month

MIT/Apache and AGPL-3.0+

2MB
1K SLoC

PopGIS

A blazing fast way to insert large GeoJSON, ShapeFile & OsmPBF into a PostGIS database.

Why?

Importing large datasets into a PostGIS database can take a long time and the aim of PopGIS is to optimize the performance of such operations. PopGIS is 2x faster than ogr2ogr, particularly with very large input files against remote databases. Although the performance improvement for smaller datasets may be minimal, the efficiency gains for larger datasets are considerable. For more details, go to the benchmarks section.

Installation

You can install PopGIS directly by running the Cargo install command

cargo install popgis

Usage

Below are the available commands and flags for PopGIS:

input

specifies the path to the GeoJSON or ShapeFile you'd like to insert into a PostGIS database.

uri

specifies the URI of the PostGIS database where you'd like to insert the input data.

schema

specifies the schema where the table will be created. Optional. Default is public.

table

specifies the name of the resulting table.

srid

specifies the SRID of the input data. Optional. Default is 4326.

mode

specifies the mode of the operation. Optional. Default is overwrite. Read more here.

reproject

reprojects the input data to the specified SRID. Optional.

Examples

## GeoJSON -> PostGIS ##
popgis --input spain.geojson \
       --uri postgresql://my_username:my_password@localhost:5432/my_database \
       --schema osm \
       --table waters \
       --srid 3857

## ShapeFile -> PostGIS ##
popgis -i water_polygons.shp \
       -u  postgresql://my_username:my_password@localhost:5432/my_database \
       -s osm \
       -t waters
       -m overwrite

## Reproject a GeoJSON from 4326 to 3857 -> PostGIS ##
popgis --input spain.geojson \
       --uri postgresql://my_username:my_password@localhost:5432/my_database \
       --schema osm \
       --table waters \
       --srid 4326 \
       --reproject 3857

popgis --input andalucia-latest.osm.pbf
       --uri postgresql://my_username:my_password@localhost:5432/my_database \
       --schema osm \
       --table andalucia

Modes

The overwrite mode will delete existing table if name of schema/table is the same and will write into the new table. The fail mode, it ensures that if the table already exists in the database, the job will fail to prevent data loss.

Benchmarks

Although non extensive, the benchmarking shows PopGIS is twice faster than ogr2ogr. This is most noticeable with large files.

ShapeFile

file size popgis took ogr2ogr took environment
1.2GB 36sec 1min 15sec local PostGIS
1.2GB 36min 1h 14min virtual machine (n2-standard-4) PostGIS

The file used for this test can be found here.

GeoJSON

file size popgis took ogr2ogr took environment
103.9MB 2sec 5sec local PostGIS
103.9MB 2min 14sec 5min virtual machine (n2-standard-4) PostGIS

The file used for this test can be found here.

OsmPBF

Coming soon.

Future implementations

  • Allow filtering based on a key value pair.
  • Add GeoParquet support.
  • From PostGIS to GeoJSON/ShapeFile.
  • Reintroduce the append mode (temporarily removed in v0.4.0 due to inconsistent results).
  • Examples to pipe the standard output of what-osm-pbf with PopGIS as input.

Limitations

  • PopGIS does not currently support nested GeoJSON properties.
  • When using osm.pbf, use the smallest Geofabrik areas to get the best performance - try using it in conjuction with what-osm-pbf CLI.

License

See LICENSE

Dependencies

~25–38MB
~516K SLoC