RealmGeoQueries simplifies spatial queries with Realm Cocoa. In the absence of and official functions, this library provide the possibility to do proximity search. It's not necessary to include Geohash or other types of indexes in the model class as it only needs latitude and longitude properties.
platform :ios, '9.0'
pod "RealmGeoQueries"Add to mhergon/RealmGeoQueries project to your Cartfile
github "mhergon/RealmGeoQueries"Drag GeoQueries.framework, RealmSwift.framework and Realm.framework from Carthage/Build/ to the “Linked Frameworks and Libraries” section of your Xcode project’s “General” settings.
Only on iOS/tvOS/watchOS: On your application targets "Build Phases" settings tab, click the "+" icon and choose "New Run Script Phase". Create a Run Script with the following contents:
/usr/local/bin/carthage copy-frameworksand add the paths to the frameworks you want to use under "Input Files", e.g.:
$(SRCROOT)/Carthage/Build/iOS/GeoQueries.framework
$(SRCROOT)/Carthage/Build/iOS/Realm.framework
$(SRCROOT)/Carthage/Build/iOS/RealmSwift.frameworkDownload (right-click) and add to your project.
| Version | Language | Minimum iOS Target |
|---|---|---|
| 1.3 | Swift 4.x | iOS 9 |
| 1.2 | Swift 3.0 | iOS 9 |
| 1.1 | Swift 2.x | iOS 8 |
First, import module;
import GeoQueriesModel must have a latitude and longitude keys, that have to be named "lat" and "lng" respectively. You can use another property names (use "latitudeKey" and "longitudeKey" parameters).
Search with MapView MKCoordinateRegion;
let results = try! Realm()
.findInRegion(type: YourModelClass.self, region: mapView.region)Search around the center with radius in meters;
let results = try! Realm()
.findNearby(YourModeltype: Class.self, origin: mapView.centerCoordinate, radius: 500, sortAscending: nil)Filter Realm results with radius in meters;
let results = try! Realm()
.objects(YourModelClass.self)
.filter("type", "restaurant")
.filterGeoRadius(center: mapView.centerCoordinate, radius: 500, sortAscending: nil)See GeoQueries.swift for more options.
Licensed under Apache License v2.0.
Copyright 2017 Marc Hervera.