This blog post will show an example for the parallel query processing capabilities from PostGIS 2.3 running on PostgeSQL 9.6. It is based on the project Lebensriskoexplorer.
The data that I am using are exported from my google location history from 2015.
So overall we have the following amount of data:
So the question is now which waypoint is in which region and how many points are in this region:
SELECT r.name, COUNT(*) FROM region r, waypoint w where ST_WITHIN(w.point,r.geometry) GROUP BY r.name
Here you can see the sequantial query plan:
It takes 44s.
Then we set:
It takes 22s.
- Dell XPS 13
- Intel Core i5-5200 CPU @ 2.20GHz x 4
- 8 GB Memory
- 256 GB SSD
- Ubuntu Linux 14.04 LTS
- Linux manuel-XPS-13-9343 3.13.0-108-generic #155-Ubuntu SMP Wed Jan 11 16:58:52 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux
- PostgreSQL 9.6.0 on x86_64-pc-linux-gnu, compiled by gcc (GCC) 4.4.7 20120313 (Red Hat 4.4.7-16), 64-bit
- PostGIS 2.3.0 (64bit)
We can see that for this use case the speed is double as high.