lucene geohash 在外卖场景中，商家不规则多边形配送范围技术应用

一、场景描述      当我们在定外卖的时候，系统是如何根据我们的位置搜到附近商家，当商家的配送范围是不规则的时候，系统是如何处理。 二、 理论基础1. GeoHash特点1）GeoHash用一个字符串表示经度和纬度两个坐标，比如我现在所在位置的GeoHash值为 wx4sv61q；2）GeoHash标识的并不是一个点，而是一个区域，比如 wx4sv61q 对应的就是一个矩形区域；3）编码的前缀可以标识更大的区域，比如 wx4sv61 编码代表的区域要大于 wx4sv61q 代表的区域，但是 wx4sv61q 代表的区域一定在 wx4sv61 代表的区域内。      因此我们再去做距离检索的时候，只需要对GeoHash进行前缀匹配即可2.GeoHash原理  GeoHash最简单的解释就是将一个位置信息转化成一个可以排序、可以比较的字符串编码      具体的实现大家可以自行百度  3.如何证明点在面里      A.夹角和判别法：判断目标点与所有边的夹角和是否为360度，为360度则在多边形内部。B.引射线法：从目标点出发引一条射线，看这条射线和多边形所有边的交点数目。如果有奇数个交点，则说明在内部，如果有偶数个交点，则说明在外部。具体做法：将测试点的Y坐标与多边形的每一个点进行比较，会得到一个测试点所在的行与多边形边的交点的列表。在下图的这个例子中有8条边与测试点所在的行相交，而有6条边没有相交。如果测试点的两边点的个数都是奇数个则该测试点在多边形内，否则在多边形外。在这个例子中测试点的左边有5个交点，右边有三个交点，它们都是奇数，所以点在多边形内。                                   

C.  java.awt.geom.GeneralPath  jdk自带画图工具，相对来说比较简单

三、实习方式       1.用  lucene GeoHash 在索引中 统计出用户  10公里范围内的商家        2. 计算此用户是否在每个商家的配送范围内。（证明二维空间里  点是否面里）四、代码实现pom.xml  所需的maven依赖配置<properties><project.build.sourceEncoding>UTF-8</project.build.sourceEncoding><lib.lucene.version>6.1.0</lib.lucene.version></properties><dependencies><dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-databind</artifactId><version>2.8.1</version></dependency><dependency><groupId>org.apache.lucene</groupId><artifactId>lucene-core</artifactId><version>${lib.lucene.version}</version></dependency><dependency><groupId>org.apache.lucene</groupId><artifactId>lucene-analyzers-common</artifactId><version>${lib.lucene.version}</version></dependency><dependency><groupId>org.apache.lucene</groupId><artifactId>lucene-spatial</artifactId><version>${lib.lucene.version}</version></dependency><dependency><groupId>org.apache.lucene</groupId><artifactId>lucene-spatial-extras</artifactId><version>${lib.lucene.version}</version></dependency><dependency><groupId>org.apache.lucene</groupId><artifactId>lucene-analyzers-smartcn</artifactId><version>${lib.lucene.version}</version></dependency><dependency><groupId>org.apache.zookeeper</groupId><artifactId>zookeeper</artifactId><version>3.4.9</version></dependency><dependency><groupId>redis.clients</groupId><artifactId>jedis</artifactId><version>2.8.0</version></dependency><dependency><groupId>org.junit.jupiter</groupId><artifactId>junit-jupiter-api</artifactId><version>5.0.2</version></dependency><dependency><groupId>commons-lang</groupId><artifactId>commons-lang</artifactId><version>2.6</version></dependency><dependency><groupId>commons-io</groupId><artifactId>commons-io</artifactId><version>2.5</version></dependency><dependency><groupId>org.apache.curator</groupId><artifactId>curator-framework</artifactId><version>4.0.0</version></dependency><dependency><groupId>org.apache.curator</groupId><artifactId>curator-client</artifactId><version>4.0.0</version><exclusions><exclusion><artifactId>slf4j-api</artifactId><groupId>org.slf4j</groupId></exclusion><exclusion><artifactId>zookeeper</artifactId><groupId>org.apache.zookeeper</groupId></exclusion></exclusions></dependency><dependency><groupId>org.apache.curator</groupId><artifactId>curator-recipes</artifactId><version>4.0.0</version></dependency><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>1.2.6</version></dependency><dependency><groupId>com.101tec</groupId><artifactId>zkclient</artifactId><version>0.10</version><exclusions><exclusion><artifactId>zookeeper</artifactId><groupId>org.apache.zookeeper</groupId></exclusion></exclusions></dependency><dependency><groupId>junit</groupId><artifactId>junit</artifactId><version>3.8.1</version><scope>test</scope></dependency><dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-databind</artifactId><version>2.5.3</version></dependency><dependency><groupId>org.codehaus.jackson</groupId><artifactId>jackson-core-asl</artifactId><version>1.9.13</version></dependency></dependencies>代码实现package com.people.lucene;/*** Created by Administrator on 2018/1/4.*/import java.awt.geom.Point2D;import java.io.BufferedReader;import java.io.IOException;import java.io.InputStreamReader;import java.util.ArrayList;import java.util.List;import org.apache.lucene.analysis.cn.smart.SmartChineseAnalyzer;import org.apache.lucene.document.Document;import org.apache.lucene.document.Field;import org.apache.lucene.document.Field.Store;import org.apache.lucene.document.NumericDocValuesField;import org.apache.lucene.document.StoredField;import org.apache.lucene.document.TextField;import org.apache.lucene.index.DirectoryReader;import org.apache.lucene.index.IndexReader;import org.apache.lucene.index.IndexWriter;import org.apache.lucene.index.IndexWriterConfig;import org.apache.lucene.index.Term;import org.apache.lucene.queries.function.ValueSource;import org.apache.lucene.search.BooleanClause;import org.apache.lucene.search.BooleanQuery;import org.apache.lucene.search.IndexSearcher;import org.apache.lucene.search.Query;import org.apache.lucene.search.Sort;import org.apache.lucene.search.TermQuery;import org.apache.lucene.search.TopDocs;import org.apache.lucene.spatial.SpatialStrategy;import org.apache.lucene.spatial.prefix.RecursivePrefixTreeStrategy;import org.apache.lucene.spatial.prefix.tree.GeohashPrefixTree;import org.apache.lucene.spatial.prefix.tree.SpatialPrefixTree;import org.apache.lucene.spatial.query.SpatialArgs;import org.apache.lucene.spatial.query.SpatialOperation;import org.apache.lucene.store.Directory;import org.apache.lucene.store.RAMDirectory;import org.locationtech.spatial4j.context.SpatialContext;import org.locationtech.spatial4j.distance.DistanceUtils;import org.locationtech.spatial4j.shap12e6ae.Point;import org.locationtech.spatial4j.shape.Shape;import com.fasterxml.jackson.core.JsonFactory;import com.fasterxml.jackson.core.JsonParser;import com.fasterxml.jackson.databind.ObjectMapper;/*** Lucene spatial演示**/public class SpatialExample {public static void main(String[] args) {init();try {indexPoints();search();}catch (Exception e){e.printStackTrace();}}public void test() throws Exception {}/** Spatial4j上下文 */private static SpatialContext ctx;// "ctx" is the conventional variable name/** 提供索引和查询模型的策略接口 */private static SpatialStrategy strategy;/** 索引目录 */private static Directory directory;private static void init() {// SpatialContext也可以通过SpatialContextFactory工厂类来构建ctx = SpatialContext.GEO;//网格最大11层, geohash的精度int maxLevels = 11;//Spatial TiersSpatialPrefixTree grid = new GeohashPrefixTree(ctx, maxLevels);strategy = new RecursivePrefixTreeStrategy(grid, "myGeoField");directory = new RAMDirectory();}public static void indexPoints() throws Exception {IndexWriterConfig iwConfig = new IndexWriterConfig(new SmartChineseAnalyzer());IndexWriter indexWriter = new IndexWriter(directory, iwConfig);JsonFactory jsonFactory = new JsonFactory();jsonFactory.enable(JsonParser.Feature.ALLOW_COMMENTS);ObjectMapper mapper = new ObjectMapper(jsonFactory);BufferedReader br = new BufferedReader(new InputStreamReader(SpatialExample.class.getClassLoader().getResourceAsStream("shop.json")));String line = null;while ((line = br.readLine()) != null) {ShopBean shopBean = mapper.readValue(line, ShopBean.class);//这里的x,y即经纬度，x为Longitude(经度),y为Latitude(纬度)Document document = newSampleDocument(shopBean.getId(), shopBean.getName(),shopBean.getShape() ,ctx.makePoint(shopBean.getLongitude(), shopBean.getLatitude()));indexWriter.addDocument(document);}indexWriter.close();}private static Document newSampleDocument(int id, String title, String shapeEnclosure ,Shape... shapes) {Document doc = new Document();doc.add(new StoredField("id", id));doc.add(new NumericDocValuesField("id", id));doc.add(new TextField("name", title, Store.YES));doc.add(new TextField("shape", shapeEnclosure, Store.YES));// Potentially more than one shape in this field is supported by some// strategies; see the javadocs of the SpatialStrategy impl to see.for (Shape shape : shapes) {for (Field f : strategy.createIndexableFields(shape)) {doc.add(f);}// store it too; the format is up to you// (assume point in this example)Point pt = (Point) shape;doc.add(new StoredField(strategy.getFieldName(), pt.getX() + " " + pt.getY()));}return doc;}public static void search() throws Exception {searchInner("密室");System.out.println("----------------");//searchInner("咖啡");}private static void searchInner(String keyword) throws Exception {IndexReader indexReader = DirectoryReader.open(directory);IndexSearcher indexSearcher = new IndexSearcher(indexReader);// --Filter by circle (<= distance from a point)// Search with circle// note: SpatialArgs can be parsed from a string//Point pt = ctx.makePoint(121.41791, 31.21867);Point pt = ctx.makePoint(116.45845, 39.983086);// the distance in kmValueSource valueSource = strategy.makeDistanceValueSource(pt, DistanceUtils.DEG_TO_KM);//按距离由近及远排序Sort distSort = new Sort(valueSource.getSortField(false)).rewrite(indexSearcher); // false=asc distSpatialArgs args = new SpatialArgs(SpatialOperation.Intersects,ctx.makeCircle(pt, DistanceUtils.dist2Degrees(3.0, DistanceUtils.EARTH_MEAN_RADIUS_KM)));Query query = strategy.makeQuery(args);BooleanQuery.Builder bqb = new BooleanQuery.Builder();bqb.add(query, BooleanClause.Occur.MUST);bqb.add(new TermQuery(new Term("name", keyword)), BooleanClause.Occur.MUST);TopDocs docs = indexSearcher.search(bqb.build(), 20, distSort);printDocs(indexSearcher, docs, args);indexReader.close();}private static void printDocs(IndexSearcher indexSearcher, TopDocs docs, SpatialArgs args) throws IOException {for (int i = 0; i < docs.totalHits; i++) {Document doc = indexSearcher.doc(docs.scoreDocs[i].doc);//判断是否在商家配送范围内if(null !=doc.getField("shape").stringValue()){PageData orderLocation = new PageData();orderLocation.setX( "116.45845");orderLocation.setY( "39.983086");// 商业区域（百度多边形区域经纬度集合）boolean isInclude = isInPolygon(orderLocation, doc.getField("shape").stringValue());//如果不在范围内，不做展示if(!isInclude){continue;}}System.out.print(doc.getField("id").numericValue().intValue());System.out.print(":" + doc.getField("name").stringValue());//计算距离String docStr = doc.getField(strategy.getFieldName()).stringValue();// assume docStr is "x y" as written in newSampleDocument()int spaceIdx = docStr.indexOf(' ');double x = Double.parseDouble(docStr.substring(0, spaceIdx));double y = Double.parseDouble(docStr.substring(spaceIdx + 1));double docDistDEG = ctx.calcDistance(args.getShape().getCenter(), x, y);System.out.print("(" + DistanceUtils.degrees2Dist(docDistDEG, DistanceUtils.EARTH_MEAN_RADIUS_KM) + "km)");System.out.println();}}/*** 判断当前位置是否在多边形区域内* @param orderLocation 当前点* @param partitionLocation 区域顶点* @return*/public static boolean isInPolygon(PageData orderLocation,String partitionLocation){double p_x =Double.parseDouble(orderLocation.getX());double p_y =Double.parseDouble(orderLocation.getY());Point2D.Double point = new Point2D.Double(p_x, p_y);List<Point2D.Double> pointList= new ArrayList<Point2D.Double>();String[] strList = partitionLocation.split(",");for (String str : strList){String[] points = str.split("_");double polygonPoint_x=Double.parseDouble(points[1]);double polygonPoint_y=Double.parseDouble(points[0]);Point2D.Double polygonPoint = new Point2D.Double(polygonPoint_x,polygonPoint_y);pointList.add(polygonPoint);}//return IsPtInPoly(point,pointList); // truereturn checkWithJdkGeneralPath(point,pointList); // true}/*** 返回一个点是否在一个多边形区域内， 如果点位于多边形的顶点或边上，不算做点在多边形内，返回false* @param point* @param polygon* @return*/public static boolean checkWithJdkGeneralPath(Point2D.Double point, List<Point2D.Double> polygon) {java.awt.geom.GeneralPath p = new java.awt.geom.GeneralPath();Point2D.Double first = polygon.get(0);p.moveTo(first.x, first.y);polygon.remove(0);for (Point2D.Double d : polygon) {p.lineTo(d.x, d.y);}p.lineTo(first.x, first.y);p.closePath();return p.contains(point);}/*** 判断点是否在多边形内，如果点位于多边形的顶点或边上，也算做点在多边形内，直接返回true* @param point 检测点* @param pts 多边形的顶点* @return 点在多边形内返回true,否则返回false*/public static boolean IsPtInPoly(Point2D.Double point, List<Point2D.Double> pts){int N = pts.size();boolean boundOrVertex = true; //如果点位于多边形的顶点或边上，也算做点在多边形内，直接返回trueint intersectCount = 0;//cross points count of xdouble precision = 2e-10; //浮点类型计算时候与0比较时候的容差Point2D.Double p1, p2;//neighbour bound verticesPoint2D.Double p = point; //当前点p1 = pts.get(0);//left vertexfor(int i = 1; i <= N; ++i){//check all raysif(p.equals(p1)){return boundOrVertex;//p is an vertex}p2 = pts.get(i % N);//right vertexif(p.x < Math.min(p1.x, p2.x) || p.x > Math.max(p1.x, p2.x)){//ray is outside of our interestsp1 = p2;continue;//next ray left point}if(p.x > Math.min(p1.x, p2.x) && p.x < Math.max(p1.x, p2.x)){//ray is crossing over by the algorithm (common part of)if(p.y <= Math.max(p1.y, p2.y)){//x is before of rayif(p1.x == p2.x && p.y >= Math.min(p1.y, p2.y)){//overlies on a horizontal rayreturn boundOrVertex;}if(p1.y == p2.y){//ray is verticalif(p1.y == p.y){//overlies on a vertical rayreturn boundOrVertex;}else{//before ray++intersectCount;}}else{//cross point on the left sidedouble xinters = (p.x - p1.x) * (p2.y - p1.y) / (p2.x - p1.x) + p1.y;//cross point of yif(Math.abs(p.y - xinters) < precision){//overlies on a rayreturn boundOrVertex;}if(p.y < xinters){//before ray++intersectCount;}}}}else{//special case when ray is crossing through the vertexif(p.x == p2.x && p.y <= p2.y){//p crossing over p2Point2D.Double p3 = pts.get((i+1) % N); //next vertexif(p.x >= Math.min(p1.x, p3.x) && p.x <= Math.max(p1.x, p3.x)){//p.x lies between p1.x & p3.x++intersectCount;}else{intersectCount += 2;}}}p1 = p2;//next ray left point}if(intersectCount % 2 == 0){//偶数在多边形外return false;} else { //奇数在多边形内return true;}}static class PageData {private String X ;private String Y ;public String getX() {return X;}public void setX(String x) {X = x;}public String getY() {return Y;}public void setY(String y) {Y = y;}}}

ShopBean  实体类

package com.people.lucene;

/**
* Created by Administrator on 2018/1/4.
*/
public class ShopBean {
private int id;
private String name;
private double longitude;
private double latitude;
private String address;
private String shape;

public String getShape() {
return shape;
}

public void setShape(String shape) {
this.shape = shape;
}

public String getAddress() {
return address;
}

public void setAddress(String address) {
this.address = address;
}

public int getId() {
return id;
}

public void setId(int id) {
this.id = id;
}

public String getName() {
return name;
}

public void setName(String name) {
this.name = name;
}

public double getLongitude() {
return longitude;
}

public void setLongitude(double longitude) {
this.longitude = longitude;
}

public double getLatitude() {
return latitude;
}

public void setLatitude(double latitude) {
this.latitude = latitude;
}
}

shop.jon 数据

{"id":22130906,"name":"小仙屋剧情密室逃脱","address":"浙江南路78号东新大厦216室","longitude":116.45845,"latitude":39.983086,"shape":"39.985962_116.456579,39.983032_116.452663,39.980931_116.453345,39.979853_116.45604,39.979632_116.462005,39.985023_116.465095"}
{"id":22130905,"name":"nook诺克密室&DIY多肉(人民广场店)","address":"浙江南路78号东新大厦216室","longitude":121.48206,"latitude":31.2288,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":2871847,"name":"星巴克(江苏店)","address":"江苏路458号1层116","longitude":121.43091,"latitude":31.218975,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":18179096,"name":"极道真人密室逃脱(人民广场大世界总店)","address":"金陵东路569号汇通大厦804室","longitude":121.48103,"latitude":31.226982,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":22676436,"name":"I high club","address":"上大路99号","longitude":121.39542,"latitude":31.312284,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":16820366,"name":"小仙屋剧情密室逃脱","address":"胶州路941号长久商务中心2203室","longitude":121.436646,"latitude":31.237585,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":8852374,"name":"魔方剧情真人密室逃脱(静安店)","address":"西康路618号华通大厦13楼D座","longitude":121.446335,"latitude":31.23506,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":24065790,"name":"A9真人密室逃脱(黄浦店)","address":"福州路465号上海书城6楼贝亦迪科技体验馆","longitude":121.48146,"latitude":31.23335,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":66552930,"name":"Charles' VR 虚拟现实体验馆","address":"五角场大学路161号701室","longitude":121.509865,"latitude":31.304022,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":8843152,"name":"iDream真人密室逃脱(百米香榭店)","address":"浙江路229号百米香榭街354店铺","longitude":121.479,"latitude":31.233591,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":11579304,"name":"1617Cafe(中山公园龙之梦服务区)","address":"长宁路890号玫瑰坊1楼88B","longitude":121.41786,"latitude":31.219374,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":19649586,"name":"MC精品真人密室逃脱(八佰伴店)","address":"浦东南路1088号4F-05","longitude":121.515366,"latitude":31.228285,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":66350697,"name":"初鱼vr咖-虚拟现实体验馆","address":"大学路103号802室","longitude":121.51079,"latitude":31.304335,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":3564328,"name":"Boom Cafe","address":"宣化路313号","longitude":121.42288,"latitude":31.216875,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
{"id":6850935,"name":"nook诺克密室逃脱(长宁店)","address":"中山公园附近","longitude":121.4217,"latitude":31.215496,"shape":"31.839064_117.219116,31.83253_117.219403,31.828511_117.218146,31.826763_117.219259,31.826118_117.220517,31.822713_117.23586,31.822958_117.238375,31.838512_117.23798,31.839617_117.226194,31.839586_117.222925"}
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