Commit Graph

110 Commits

Author SHA1 Message Date
tidwall a4986d9cf8 Removed unneeded params 2018-11-02 05:09:51 -07:00
Alex Roitman 0933c541f4 Refactor cursor/paging. 2018-10-31 22:01:37 -07:00
Alex Roitman b94f3685b6 Move iterating up to the cursor before any tests. 2018-10-31 22:01:24 -07:00
Alex Roitman f45d81d692 Simplification 2018-10-31 01:30:10 -07:00
Alex Roitman d2c687d61e camelCase 2018-10-31 00:45:16 -07:00
Alex Roitman 63b41691e6 Clean up obsolete code. 2018-10-31 00:40:09 -07:00
Alex Roitman 18d7398d50 Minor refactoring 2018-10-29 18:18:04 -07:00
Alex Roitman 2383594048 Use haversine instead of distance in knn if distance is not required. 2018-10-29 15:32:47 -07:00
tidwall 555e47036c Replaced net package with evio
- Added threads startup flag
- Replaced net package with evio
- Refactored controller into server
2018-10-28 15:51:47 -07:00
tidwall 6257ddba78 Faster point in polygon / GeoJSON updates
The big change is that the GeoJSON package has been completely
rewritten to fix a few of geometry calculation bugs, increase
performance, and to better follow the GeoJSON spec RFC 7946.

GeoJSON updates

- A LineString now requires at least two points.
- All json members, even foreign, now persist with the object.
- The bbox member persists too but is no longer used for geometry
  calculations. This is change in behavior. Previously Tile38 would
  treat the bbox as the object's physical rectangle.
- Corrections to geometry intersects and within calculations.

Faster spatial queries

- The performance of Point-in-polygon and object intersect operations
  are greatly improved for complex polygons and line strings. It went
  from O(n) to roughly O(log n).
- The same for all collection types with many children, including
  FeatureCollection, GeometryCollection, MultiPoint, MultiLineString,
  and MultiPolygon.

Codebase changes

- The pkg directory has been renamed to internal
- The GeoJSON internal package has been moved to a seperate repo at
  https://github.com/tidwall/geojson. It's now vendored.

Please look out for higher memory usage for datasets using complex
shapes. A complex shape is one that has 64 or more points. For these
shapes it's expected that there will be increase of least 54 bytes per
point.
2018-10-13 04:30:48 -07:00