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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*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
- 节点和边的存储:
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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
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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
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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>
- “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 apishell 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()+"\t\t");
}
System.out.println();
}
/**
_type:vertex _properties:{name=薛宝钗, age=17} _id:16496
*/
```
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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...
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