# neo4j-rtree **Repository Path**: wowtools/neo4j-rtree ## Basic Information - **Project Name**: neo4j-rtree - **Description**: 一个用于neo4j的空间索引 - **Primary Language**: Java - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 33 - **Forks**: 6 - **Created**: 2020-09-02 - **Last Updated**: 2025-05-28 ## Categories & Tags **Categories**: database-dev **Tags**: None ## README # neo4j-rtree 一个基于neo4j构建的n维度空间索引 github: https://github.com/codingmiao/neo4j-rtree gitee: https://gitee.com/wowtools/neo4j-rtree [中文文档](README.md) | [README](README_en.md) ## 简介 rtree,是一个计算n维空间内对象的位置关系、距离关系的索引。 很多前辈开源了各类rtree的在内存中的实现,但是,在大数据量的场景下,完全构建在内存中的rtree存在内存占用高,初始化时间长等问题。 因此,本项目参考[conversant/rtree](https://github.com/conversant/rtree) 的实现思路,将rtree构建在图数据库 [neo4j](https://github.com/neo4j/neo4j) 中, 形成了一个内存可控、可持久化的rtree索引项目。 (注意: 旧版本 [v1.x](https://github.com/codingmiao/neo4j-rtree/tree/v1.x) 版本基于 [neo4j spatial](https://github.com/neo4j-contrib/spatial) 构建,存在递归过多容易栈内存溢出、只能用于2维空间等问题,已不再进行功能性更新) ## 使用示例 ### 索引数据的的增删改 ~~~java try(RtreeEditor rtreeEditor=RtreeEditor.create(db,2000,indexName)){ //构建一个RectNd对象,描述n维对象的最小外接矩形 RectNd rect2d = new RectNd(new PointNd(new double[]{xmin, ymin}), new PointNd(new double[]{xmax, ymax})); //add rtreeEditor.add(rect2d); //remove、update方法类似 } ~~~ 完整示例请参见 [测试用例](https://github.com/codingmiao/neo4j-rtree/blob/v2.x/src/test/java/org/wowtools/neo4j/rtree/RtreeEditorTest.java) ### 相交关系查询 查询索引中的对象是否与输入的n维矩形相交 ~~~java //构造输入矩形 PointNd p0 = new PointNd(new double[]{x0, y0}); PointNd p1 = new PointNd(new double[]{x1, y1}); RectNd inputRange = new RectNd(p0, p1); try (Transaction tx = db.beginTx()) { //构建一个RtreeIntersectsSearcher对象 RtreeIntersectsSearcher searcher = RtreeIntersectsSearcher.get(tx, indexName); searcher.intersects(inputRange, tx, (dataNodeId)->{ //打印查询到的nodeId,也可以拿着id在neo4j中查询node更详细的信息 System.out.println(dataNodeId); return false; }); } ~~~ 完整示例请参见 [测试用例](https://github.com/codingmiao/neo4j-rtree/blob/v2.x/src/test/java/org/wowtools/neo4j/rtree/RtreeEditorTest.java) ### 最邻近搜索 ~~~java //求距离点(x,y)距离最近的5个点点 double x = 0.5, y = 0.5; int hitNum = 5; try (Transaction tx = db.beginTx()) { //构建一个RtreeNearestSearcher对象 RtreeNearestSearcher searcher = RtreeNearestSearcher.get(tx, indexName); //构建查询条件NearestNeighbour,包括点PointNd、最大返回条数、距离计算公式 PointNd pt = new PointNd(new double[]{x, y}); NearestNeighbour nearestNeighbour = new NearestNeighbour(hitNum, pt) { @Override public DistanceResult createDistanceResult(PointNd pointNd, long dataNodeId) { RectNd rectNd = ...;//根据dataNodeId从neo4j中查询dataNode的 double dist = dist(rectNd);//计算dataNode到(x,y)的距离 return new DistanceResult(dist, dataNodeId); } }; nearests = searcher.nearest(nearestNeighbour, tx); } ... //定义距离公式 private static final double dist(RectNd rect2d) { double[] xy = rect2d.getMaxXs(); double x1 = xy[0]; double y1 = xy[1]; return Math.sqrt(Math.pow(x1 - x, 2) + Math.pow(y1 - y, 2)); } ~~~ 完整示例请参见 [测试用例](https://github.com/codingmiao/neo4j-rtree/blob/v2.x/src/test/java/org/wowtools/neo4j/rtree/RtreeNearestSearcherTest.java) ### 基于jts geometry对象的二维索引 [geometry2d](https://github.com/codingmiao/neo4j-rtree/tree/v2.x/src/main/java/org/wowtools/neo4j/rtree/geometry2d) 是一个针对二维几何对象的特化包,同样也包含了上述功能,示例如下: geometry2d 索引数据的的增删改 [Geometry2dRtreeEditor](https://github.com/codingmiao/neo4j-rtree/blob/v2.x/src/test/java/org/wowtools/neo4j/rtree/geometry2d/Geometry2dRtreeEditorTest.java) geometry2d 相交关系查询 [Geometry2dRtreeIntersectsSearcher](https://github.com/codingmiao/neo4j-rtree/blob/v2.x/src/test/java/org/wowtools/neo4j/rtree/geometry2d/Geometry2dRtreeEditorTest.java) geometry2d 最邻近搜索 [Geometry2dRtreeNearestSearcher](https://github.com/codingmiao/neo4j-rtree/blob/v2.x/src/test/java/org/wowtools/neo4j/rtree/geometry2d/Geometry2dRtreeNearestSearcherTest.java) ## install 引入maven依赖,最新版本号为2.0.2 ``` org.wowtools neo4j-rtree ${neo4j-rtree-version} ``` 如果你的项目中已经使用了其它版本的neo4j(例如企业版)而引起冲突,可考虑exclusions: ``` org.wowtools neo4j-rtree ${neo4j-rtree-version} org.neo4j neo4j-common org.neo4j neo4j ``` 注意,maven中央库的依赖用jdk11编译,所以如果你的项目使用了jdk8或其它版本,你可能需要自己编译一份适合于你的jdk的: clone & install ``` git clone https://github.com/codingmiao/neo4j-rtree.git mvn clean install -DskipTests ```