一、创建Neo4j的Legacy indexing
1.为节点创建索引
官方API的创建示例为:
将一节点添加至索引:
public static void AddNodeIndex(String nid)
{
String txUri=SERVER_ROOT_URI+"index/node/favorites";
WebResource resource = Client.create().resource(txUri);
String entity="{\"value\" : \"n204\",\"uri\" : \"http://192.168.209.128:7474/db/data/node/"+nid+"\",\"key\" : \"n201\"}";
ClientResponse response = resource.accept(MediaType.APPLICATION_JSON)
.type(MediaType.APPLICATION_JSON).entity(entity)
.post(ClientResponse.class); System.out.println(response.getStatus());
System.out.println(response.getEntity(String.class));
response.close();
}
ps:nid是要添加索引的节点ID value是索引值 key是索引名称
2.通过属性查找节点
public static void GetNodeByIndex()
{
String txUri=SERVER_ROOT_URI+"index/node/favorites/n201/n201";
WebResource resource = Client.create().resource(txUri); ClientResponse response = resource.accept(MediaType.APPLICATION_JSON)
.type(MediaType.APPLICATION_JSON)
.get(ClientResponse.class); System.out.println(response.getStatus());
System.out.println(response.getEntity(String.class));
response.close();
}
txUri路径中:favorites为刚创建的索引名称,第一个n201是节点索引key,第二个n201是节点索引值
二、自动创建索引(Legacy Automatic Indexes)
What default configuration means depends on how you have configured your database. If you haven’t
changed any indexing configuration, it means the indexes will be using a Lucene-based backend.
数据库配置之后,就可以自动创建索引
1.配置文件配置
Auto-indexing must be enabled through configuration before we can create or configure them. Firstly
ensure that you’ve added some config like this into your server’s conf/neo4j.properties file:
打开conf/neo4j.properties文件如图
配置下面的节点
# Enable auto-indexing for nodes, default is false.
node_auto_indexing=true # The node property keys to be auto-indexed, if enabled.
node_keys_indexable=name,ki # Enable auto-indexing for relationships, default is false.
relationship_auto_indexing=true # The relationship property keys to be auto-indexed, if enabled.
relationship_keys_indexable=name,ki
Node_keys_indexable、relationship_keys_indexable对应节点、关系的属性
配置完成之后重启服务
重启三个节点的集群
2。测试索引
插入一个节点和关系
// 创建节点
@Test
public void test2() {
URI uri = CreateSimpleGraph.createNode();
CreateSimpleGraph.addProperty(uri, "name", "张三");
URI uri1 = CreateSimpleGraph.createNode();
CreateSimpleGraph.addProperty(uri1, "name", "李四");
}
// 为节点设置关系
@Test
public void test6() {
for (int i = ; i < ; i++) {
try {
URI suri = new URI("http://192.168.209.128:7474/db/data/node/171391");
String uri1="http://192.168.209.128:7474/db/data/node/";
URI euri = new URI("http://192.168.209.128:7474/db/data/node/171392");
URI reluri= CreateSimpleGraph.addRelationship(suri, euri, "家人","{\"ki\" : \"1234567890\", \"name\" : \"无\" }");
System.out.println(reluri);
} catch (URISyntaxException e) {
// 异常信息输出该内容
e.printStackTrace();
}
}
}
3.通过属性查找节点
public static void GetNodeByAutoIndex(String ki)
{
// String txUri=SERVER_ROOT_URI+"index/node/node_auto_index/name/"+ki;
String txUri=SERVER_ROOT_URI+"index/auto/node/ki/"+ki;
WebResource resource = Client.create().resource(txUri); ClientResponse response = resource.accept(MediaType.APPLICATION_JSON)
.type(MediaType.APPLICATION_JSON)
.get(ClientResponse.class); System.out.println(response.getStatus());
System.out.println(response.getEntity(String.class));
response.close();
} public static void GetRelationshipByAutoIndex(String ki)
{
// String txUri=SERVER_ROOT_URI+"index/node/node_auto_index/name/"+ki;
String txUri=SERVER_ROOT_URI+"index/auto/relationship/ki/"+ki;
WebResource resource = Client.create().resource(txUri); ClientResponse response = resource.accept(MediaType.APPLICATION_JSON)
.type(MediaType.APPLICATION_JSON)
.get(ClientResponse.class); System.out.println(response.getStatus());
System.out.println(response.getEntity(String.class));
response.close();
}
关系的输出结果为:
[ {
"extensions" : { },
"metadata" : {
"id" : ,
"type" : "家人"
},
"data" : {
"name" : "无",
"ki" : ""
},
"property" : "http://192.168.209.128:7474/db/data/relationship/337/properties/{key}",
"start" : "http://192.168.209.128:7474/db/data/node/171391",
"self" : "http://192.168.209.128:7474/db/data/relationship/337",
"end" : "http://192.168.209.128:7474/db/data/node/171392",
"type" : "家人",
"properties" : "http://192.168.209.128:7474/db/data/relationship/337/properties"
} ]
这里说明一下,传值为中文的时候,查询不出来,可能需要编码,因为工作暂时没有用到,就没有再研究了
三、NEO4J批量插入和用户密码问题
1.批量操作
批量操作的官方文档地址:http://neo4j.com/docs/milestone/rest-api-batch-ops.html
public static int BatchInserterNode(String body) {
// String
// body="[{\"method\":\"POST\",\"to\":\"/node\",\"body\":{\"name\":\"aaa\",\"lead\":\"aaa1\"},\"id\":0},{\"method\":\"POST\",\"to\":\"/node\",\"body\":{\"name\":\"bbb\",\"lead\":\"bbb1\"},\"id\":1}]";
// POST {} to the node entry point URI
ClientResponse response = GetResourceInstance("batch")
.accept(MediaType.APPLICATION_JSON)
.type(MediaType.APPLICATION_JSON).entity(body)
.post(ClientResponse.class); // System.out.println(String.format(
// "POST to [%s], status code [%d], location header [%s]",
// nodeEntryPointUri, response.getStatus(), location.toString()));
String entity = response.getEntity(String.class);
response.close(); int status = response.getStatus(); return status;
} //调用
//批量插入速度测试
@Test
public void test10()
{ StringBuilder sbody=new StringBuilder();
sbody.append("[");
for (int i = ; i < ; i++) {
if(i>)
{
sbody.append(",");
}
sbody.append("{");
sbody.append("\"method\":\"POST\",\"to\":\"/node\",\"body\":{\"name\":\"n"+i+"\",\"lead\":\"a"+i+"\"},\"id\":"+i+"");
sbody.append("}");
} sbody.append("]");
long st = System.currentTimeMillis();
int status= CreateSimpleGraph.BatchInserterNode(sbody.toString());
System.out.println("插入状态:"+status);
long et = System.currentTimeMillis();
System.out.println("插入10000条数据总共耗时:" + (et - st) + "毫秒");
}
批量插入的速度10000条大概在6秒左右吧
2.NEO4J密码操作
本次用的版本是:neo4j-enterprise-2.2.0-unix,连接数据库的时候需要输入用户名称密码。上个版本好像是不用的。
使用密码时:
public void checkDatabaseIsRunning() {
// START SNIPPET: checkServer
WebResource resource = Client.create().resource(SERVER_ROOT_URI);
ClientResponse response = resource.get(ClientResponse.class);
resource.addFilter(new HTTPBasicAuthFilter("neo4j", ""));
if (response.getStatus() == ) {
System.out.println("连接成功!");
} else {
System.out.println("连接失败!");
}
// System.out.println(String.format("GET on [%s], status code [%d]",
// SERVER_ROOT_URI, response.getStatus()));
response.close();
// END SNIPPET: checkServer
}
如不需要使用密码,可以在配置文件进行配置
vi /conf/neo4j-server.properties这个文件
这里改成false即可,默认是True
参考文档
http://neo4j.com/docs/milestone/rest-api-batch-ops.html
http://neo4j.com/docs/milestone/rest-api-auto-indexes.html
http://neo4j.com/docs/milestone/rest-api-security.html