HugeGraph-Client Quick Start
1 HugeGraph-Client 概述
HugeGraph-Client 向 HugeGraph-Server 发出 HTTP 请求,获取并解析 Server 的执行结果。
提供了 Java/Go/Python 版,
用户可以使用 Client-API 编写代码操作 HugeGraph,比如元数据和图数据的增删改查,或者执行 gremlin 语句等。
后文主要是 Java 使用示例 (其他语言 SDK 可参考对应 READEME
页面)
现在已经支持基于 Go 语言的 HugeGraph Client SDK (version >=1.2.0)
2 环境要求
- java 11 (兼容 java 8)
- maven 3.5+
3 使用流程
使用 HugeGraph-Client 的基本步骤如下:
- 新建Eclipse/ IDEA Maven 项目;
- 在 pom 文件中添加 HugeGraph-Client 依赖;
- 创建类,调用 HugeGraph-Client 接口;
详细使用过程见下节完整示例。
4 完整示例
4.1 新建 Maven 工程
可以选择 Eclipse 或者 Intellij Idea 创建工程:
4.2 添加 hugegraph-client 依赖
添加 hugegraph-client 依赖
<dependencies>
<dependency>
<groupId>org.apache.hugegraph</groupId>
<artifactId>hugegraph-client</artifactId>
<!-- Update to the latest release version -->
<version>1.5.0</version>
</dependency>
</dependencies>
注:Graph 所有组件版本号均保持一致
4.3 Example
4.3.1 SingleExample
import java.io.IOException;
import java.util.Iterator;
import java.util.List;
import org.apache.hugegraph.driver.GraphManager;
import org.apache.hugegraph.driver.GremlinManager;
import org.apache.hugegraph.driver.HugeClient;
import org.apache.hugegraph.driver.SchemaManager;
import org.apache.hugegraph.structure.constant.T;
import org.apache.hugegraph.structure.graph.Edge;
import org.apache.hugegraph.structure.graph.Path;
import org.apache.hugegraph.structure.graph.Vertex;
import org.apache.hugegraph.structure.gremlin.Result;
import org.apache.hugegraph.structure.gremlin.ResultSet;
public class SingleExample {
public static void main(String[] args) throws IOException {
// If connect failed will throw a exception.
HugeClient hugeClient = HugeClient.builder("http://localhost:8080",
"hugegraph")
.build();
SchemaManager schema = hugeClient.schema();
schema.propertyKey("name").asText().ifNotExist().create();
schema.propertyKey("age").asInt().ifNotExist().create();
schema.propertyKey("city").asText().ifNotExist().create();
schema.propertyKey("weight").asDouble().ifNotExist().create();
schema.propertyKey("lang").asText().ifNotExist().create();
schema.propertyKey("date").asDate().ifNotExist().create();
schema.propertyKey("price").asInt().ifNotExist().create();
schema.vertexLabel("person")
.properties("name", "age", "city")
.primaryKeys("name")
.ifNotExist()
.create();
schema.vertexLabel("software")
.properties("name", "lang", "price")
.primaryKeys("name")
.ifNotExist()
.create();
schema.indexLabel("personByCity")
.onV("person")
.by("city")
.secondary()
.ifNotExist()
.create();
schema.indexLabel("personByAgeAndCity")
.onV("person")
.by("age", "city")
.secondary()
.ifNotExist()
.create();
schema.indexLabel("softwareByPrice")
.onV("software")
.by("price")
.range()
.ifNotExist()
.create();
schema.edgeLabel("knows")
.sourceLabel("person")
.targetLabel("person")
.properties("date", "weight")
.ifNotExist()
.create();
schema.edgeLabel("created")
.sourceLabel("person").targetLabel("software")
.properties("date", "weight")
.ifNotExist()
.create();
schema.indexLabel("createdByDate")
.onE("created")
.by("date")
.secondary()
.ifNotExist()
.create();
schema.indexLabel("createdByWeight")
.onE("created")
.by("weight")
.range()
.ifNotExist()
.create();
schema.indexLabel("knowsByWeight")
.onE("knows")
.by("weight")
.range()
.ifNotExist()
.create();
GraphManager graph = hugeClient.graph();
Vertex marko = graph.addVertex(T.LABEL, "person", "name", "marko",
"age", 29, "city", "Beijing");
Vertex vadas = graph.addVertex(T.LABEL, "person", "name", "vadas",
"age", 27, "city", "Hongkong");
Vertex lop = graph.addVertex(T.LABEL, "software", "name", "lop",
"lang", "java", "price", 328);
Vertex josh = graph.addVertex(T.LABEL, "person", "name", "josh",
"age", 32, "city", "Beijing");
Vertex ripple = graph.addVertex(T.LABEL, "software", "name", "ripple",
"lang", "java", "price", 199);
Vertex peter = graph.addVertex(T.LABEL, "person", "name", "peter",
"age", 35, "city", "Shanghai");
marko.addEdge("knows", vadas, "date", "2016-01-10", "weight", 0.5);
marko.addEdge("knows", josh, "date", "2013-02-20", "weight", 1.0);
marko.addEdge("created", lop, "date", "2017-12-10", "weight", 0.4);
josh.addEdge("created", lop, "date", "2009-11-11", "weight", 0.4);
josh.addEdge("created", ripple, "date", "2017-12-10", "weight", 1.0);
peter.addEdge("created", lop, "date", "2017-03-24", "weight", 0.2);
GremlinManager gremlin = hugeClient.gremlin();
System.out.println("==== Path ====");
ResultSet resultSet = gremlin.gremlin("g.V().outE().path()").execute();
Iterator<Result> results = resultSet.iterator();
results.forEachRemaining(result -> {
System.out.println(result.getObject().getClass());
Object object = result.getObject();
if (object instanceof Vertex) {
System.out.println(((Vertex) object).id());
} else if (object instanceof Edge) {
System.out.println(((Edge) object).id());
} else if (object instanceof Path) {
List<Object> elements = ((Path) object).objects();
elements.forEach(element -> {
System.out.println(element.getClass());
System.out.println(element);
});
} else {
System.out.println(object);
}
});
hugeClient.close();
}
}
4.3.2 BatchExample
import java.util.ArrayList;
import java.util.List;
import org.apache.hugegraph.driver.GraphManager;
import org.apache.hugegraph.driver.HugeClient;
import org.apache.hugegraph.driver.SchemaManager;
import org.apache.hugegraph.structure.graph.Edge;
import org.apache.hugegraph.structure.graph.Vertex;
public class BatchExample {
public static void main(String[] args) {
// If connect failed will throw a exception.
HugeClient hugeClient = HugeClient.builder("http://localhost:8080",
"hugegraph")
.build();
SchemaManager schema = hugeClient.schema();
schema.propertyKey("name").asText().ifNotExist().create();
schema.propertyKey("age").asInt().ifNotExist().create();
schema.propertyKey("lang").asText().ifNotExist().create();
schema.propertyKey("date").asDate().ifNotExist().create();
schema.propertyKey("price").asInt().ifNotExist().create();
schema.vertexLabel("person")
.properties("name", "age")
.primaryKeys("name")
.ifNotExist()
.create();
schema.vertexLabel("person")
.properties("price")
.nullableKeys("price")
.append();
schema.vertexLabel("software")
.properties("name", "lang", "price")
.primaryKeys("name")
.ifNotExist()
.create();
schema.indexLabel("softwareByPrice")
.onV("software").by("price")
.range()
.ifNotExist()
.create();
schema.edgeLabel("knows")
.link("person", "person")
.properties("date")
.ifNotExist()
.create();
schema.edgeLabel("created")
.link("person", "software")
.properties("date")
.ifNotExist()
.create();
schema.indexLabel("createdByDate")
.onE("created").by("date")
.secondary()
.ifNotExist()
.create();
// get schema object by name
System.out.println(schema.getPropertyKey("name"));
System.out.println(schema.getVertexLabel("person"));
System.out.println(schema.getEdgeLabel("knows"));
System.out.println(schema.getIndexLabel("createdByDate"));
// list all schema objects
System.out.println(schema.getPropertyKeys());
System.out.println(schema.getVertexLabels());
System.out.println(schema.getEdgeLabels());
System.out.println(schema.getIndexLabels());
GraphManager graph = hugeClient.graph();
Vertex marko = new Vertex("person").property("name", "marko")
.property("age", 29);
Vertex vadas = new Vertex("person").property("name", "vadas")
.property("age", 27);
Vertex lop = new Vertex("software").property("name", "lop")
.property("lang", "java")
.property("price", 328);
Vertex josh = new Vertex("person").property("name", "josh")
.property("age", 32);
Vertex ripple = new Vertex("software").property("name", "ripple")
.property("lang", "java")
.property("price", 199);
Vertex peter = new Vertex("person").property("name", "peter")
.property("age", 35);
Edge markoKnowsVadas = new Edge("knows").source(marko).target(vadas)
.property("date", "2016-01-10");
Edge markoKnowsJosh = new Edge("knows").source(marko).target(josh)
.property("date", "2013-02-20");
Edge markoCreateLop = new Edge("created").source(marko).target(lop)
.property("date",
"2017-12-10");
Edge joshCreateRipple = new Edge("created").source(josh).target(ripple)
.property("date",
"2017-12-10");
Edge joshCreateLop = new Edge("created").source(josh).target(lop)
.property("date", "2009-11-11");
Edge peterCreateLop = new Edge("created").source(peter).target(lop)
.property("date",
"2017-03-24");
List<Vertex> vertices = new ArrayList<>();
vertices.add(marko);
vertices.add(vadas);
vertices.add(lop);
vertices.add(josh);
vertices.add(ripple);
vertices.add(peter);
List<Edge> edges = new ArrayList<>();
edges.add(markoKnowsVadas);
edges.add(markoKnowsJosh);
edges.add(markoCreateLop);
edges.add(joshCreateRipple);
edges.add(joshCreateLop);
edges.add(peterCreateLop);
vertices = graph.addVertices(vertices);
vertices.forEach(vertex -> System.out.println(vertex));
edges = graph.addEdges(edges, false);
edges.forEach(edge -> System.out.println(edge));
hugeClient.close();
}
}
4.4 运行 Example
运行 Example 之前需要启动 Server, 启动过程见HugeGraph-Server Quick Start
4.5 详细 API 说明
示例说明见HugeGraph-Client 基本 API 介绍
Last modified December 13, 2024: chore: update version to 1.5.0 (#385) (5e7803ce)