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  • titan

    1. 简介
      （1）titan：存储，查询图形结构的数据库。分布式集群环境下，可支持数以千亿级别的点和边，同时支持上千个并发的实时的复杂图形遍历，支持ACID事务。
      （2）架构：支持以下3方面的自由组合

      • 节点和边的存储：
        • Apache Cassandra
        • Apache HBase
        • Oracle BerkeleyDB（测试使用）
      • 图形分析组件：
        • Spark
        • Giraph
        • Hadoop
      • 地理，数值，全文检索支持
        • ElasticSearch
        • Solr
        • Lucene

    2. titan-hbase-es部署范例
      （1）版本对应
      titan:0.54-hadoop2，hbase:1.1.5 (版本相对宽松)，elasticsearch:1.4，rexster-server:2.6
      （2）titan server部署

      • rexster-server解压

      • 修改config/rexster.xml文件,添加如下内容

        <graph>
    <graph-enabled>true</graph-enabled>
    <graph-name>titanexample</graph-name>
    <graph-type>com.thinkaurelius.titan.tinkerpop.rexster.TitanGraphConfiguration</graph-type>
    <graph-location></graph-location>
    <graph-read-only>false</graph-read-only>
    <properties>  
<storage.backend>hbase</storage.backend>
<storage.hostname>localhost:2181,localhost:2182,localhost:2183</storage.hostname>
<storage.hbase.table>facebook</storage.hbase.table>
<index.search.backend>elasticsearch</index.search.backend>
<index.search.elasticsearch.client-only>true</index.search.elasticsearch.client-only>
<index.search.hostname>127.0.0.1</index.search.hostname>
<index.search.index-name>facebook</index.search.index-name>
    </properties>
    <extensions>
    <allows>
        <allow>tp:gremlin</allow>
    </allows>
    </extensions>
</graph>

      • 复制titan jar包到rexster lib

      cp   TITAN_HOME/lib/*    REXSTER_HOME/ext/titan/
      • 删除rexster/lib下的lucene相关jar包，会与titan的引起冲突
      • 开启rexster
      ./bin/rexster.sh -s -c ./config/rexster.xml
      • 访问http://ip:8182/graphs/titanexample，REST

    3. titan server接口
      （1） RexPro二进制协议 

      public class TestClient {
    public static void main(String[] args) throws Exception {
        RexsterClient client = RexsterClientFactory.open("localhost", "titanexample");
        List<Map<String,Object>> result;
        result = client.execute("aa=g.V.has('name','saturn');aa.next()");
        //result = client.execute("g.getManagementSystem().get(‘cache.db-cache’)");
        // result.toString(): [{name="jupiter"}]
        System.out.println(result);
        client.close();
    }
}

      <dependency>
    <groupId>com.tinkerpop.rexster</groupId>
    <artifactId>rexster-protocol</artifactId>
    <version>2.6.0</version>
</dependency>

    （2） thinkerpop - REST协议

    1. “红楼梦宗谱”示例
      （1）编写blueprint脚本，设置schema，索引，添加将节点数据
      com.thinkaurelius.titan.core.schema.TitanManagement mgmt = g.getManagementSystem();
//点的属性名
com.thinkaurelius.titan.core.PropertyKey name = mgmt.makePropertyKey("name").dataType(String.class).make();
com.thinkaurelius.titan.core.PropertyKey age = mgmt.makePropertyKey("age").dataType(Integer.class).make();
// 点的标签名
mgmt.makeVertexLabel("people").make();  //该点表示人
mgmt.makeVertexLabel("hobby").make();   //该点是一个运动
// 给点的姓名年龄建索引
mgmt.buildIndex("name",Vertex.class).addKey(name).unique().buildCompositeIndex(); // "search"是配置文件中的标识符
mgmt.buildIndex("vertices",Vertex.class).addKey(age).buildMixedIndex("search");   // mixedIndex是外部索引，用es存储索引

// 边的属性
mgmt.makeEdgeLabel("father").multiplicity(com.thinkaurelius.titan.core.Multiplicity.MANY2ONE).make();
mgmt.makeEdgeLabel("mother").multiplicity(com.thinkaurelius.titan.core.Multiplicity.MANY2ONE).make();
mgmt.makeEdgeLabel("hobby").multiplicity(com.thinkaurelius.titan.core.Multiplicity.MULTI).make();
com.thinkaurelius.titan.core.PropertyKey time = mgmt.makePropertyKey("time").dataType(Integer.class).make();
com.thinkaurelius.titan.core.EdgeLabel love = mgmt.makeEdgeLabel("love").signature(time).make();//什么时候确立爱情挂席
mgmt.buildEdgeIndex(love,"lovetime", Direction.BOTH, com.thinkaurelius.titan.core.Order.DESC,time);
mgmt.commit();


//插入点
com.thinkaurelius.titan.core.TitanTransaction tx = g.newTransaction();
Vertex jiazheng = tx.addVertexWithLabel("people");   // 贾政
jiazheng.setProperty("name","贾政");
jiazheng.setProperty("age",48);
Vertex jiabaoyu = tx.addVertexWithLabel("people");   // 贾宝玉
jiabaoyu.setProperty("name","贾宝玉");
jiabaoyu.setProperty("age",18);
Vertex wangfuren = tx.addVertexWithLabel("people");  // 王夫人
wangfuren.setProperty("name","王夫人");
wangfuren.setProperty("age",47);
Vertex xuebaochai = tx.addVertexWithLabel("people");  // 薛宝钗
xuebaochai.setProperty("name","薛宝钗");
xuebaochai.setProperty("age",17);

Vertex cixiu = tx.addVertexWithLabel("hobby");
cixiu.setProperty("name","刺绣");
Vertex zuoshi = tx.addVertexWithLabel("hobby");
zuoshi.setProperty("name","作诗");


//插入边
jiabaoyu.addEdge("father",jiazheng);
jiabaoyu.addEdge("mother",wangfuren);
ElementHelper.setProperties(jiabaoyu.addEdge("love",xuebaochai),"time",1001);   // 贾宝玉爱林黛玉，"time"属性为1001
wangfuren.addEdge("hobby",cixiu);
xuebaochai.addEdge("hobby",zuoshi);

tx.commit();

    （2）通过RexPro协议发送脚本到服务器
    java public static void main(String[] args) throws Exception { RexsterClient client = RexsterClientFactory.open("localhost", "titanexample"); List<Map<String,Object>> result; BufferedReader br = new BufferedReader(new InputStreamReader(Thread.currentThread().getContextClassLoader().getResourceAsStream("facebook-gremlin"))); String str=""; StringBuffer sb = new StringBuffer(); while((str = br.readLine())!=null){ sb.append(str); } System.out.println(sb.toString()); result = client.execute(sb.toString()); System.out.println(result); client.close(); }
    （3）rest api
    shell curl -XGET http://localhost:8182/graphs/titanexample/vertices #查看所有边 curl -XGET http://localhost:8182/graphs/titanexample/edges curl -XGET http://localhost:8182/graphs/titanexample/keyindices curl -XGET http://localhost:8182/graphs/titanexample/vertices/16400/in #查询节点的入射边 curl -XPOST http://localhost:8182/graphs/titanexample/vertices/11111?name=zhangsan&age=24 #创建节点 curl -XPOST http://localhost:8182/graphs/titanexample/edges?_outV=<id>&_label=friend&_inV=2&<key>=<key'> #创建节点间的边 

    （4）gremlin查询示例，查询贾宝玉的父亲

```shell
gremlin> g.V.has('name','贾宝玉').next().out('father').name
==>贾政
```
    
（5）全文检索节点,按照es的格式封装的map

```java
result = client.execute("g.indexQuery("vertices", "v.age:(17)").vertices().get(0).getElement()");
for (Map<String, Object> map : result) {
    for (Map.Entry<String, Object> en : map.entrySet()) {
        System.out.print(en.getKey()+":"+en.getValue()+"		");
    }
    System.out.println();
}
/**
_type:vertex		_properties:{name=薛宝钗, age=17}		_id:16496	
*/
```

    1. 数据展现

      • Sigma.js it's a free and open source tool for graph visualization quite nice. Linkurious is using a fork version of it as far as I know in their product.
      • VivaGraph it's another free and open source tool for graph visualization tool - but it has a smaller community compared to SigmaJS.
      • D3.js it's the factotum for data visualization, you can do basically every kind of visualization based on that, but the learning curve is quite steep.
      • Gephi is another free and open source desktop solution, you have to use an external plugin with that probably but it does support most of the formats out there - graphML, CSV, Neo4J, etc...

    2. 参考网站
      thinkerpop
      gremlin与sql对比查询语法
      sparql-gremlin插件
      DataStax给出的图形查询语言，包括sparql，GraphQL, Cypher, Gremlin
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  • 原文地址：https://www.cnblogs.com/72808ljup/p/5587714.html
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