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Neo4j創建自動索引

一、創建Neo4j的Legacy indexing

  1.為節點創建索引

  官方API的創建示例為:

將一節點添加至索引:

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是要添加索引的節點ID  value是索引值  key是索引名稱

2.通過屬性查找節點

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路徑中:favorites為剛創建的索引名稱,第一個n201是節點索引key,第二個n201是節點索引值

二、自動創建索引(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.

數據庫配置之後,就可以自動創建索引

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:

打開conf/neo4j.properties文件如圖

配置下面的節點

# 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對應節點、關系的屬性

配置完成之後重啟服務

重啟三個節點的集群

2。測試索引

插入一個節點和關系

// 創建節點
    @Test
    public void test2() {
        URI uri = CreateSimpleGraph.createNode();
        CreateSimpleGraph.addProperty(uri, "name", "張三");
        URI uri1 = CreateSimpleGraph.createNode();
        CreateSimpleGraph.addProperty(uri1, "name", "李四");
    }
// 為節點設置關系
    @Test
    public void test6() {
        for (int i = 1; i < 2; 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\" : \"無\" }");
                System.out.println(reluri);
            } catch (URISyntaxException e) {
                // 異常信息輸出該內容
                e.printStackTrace();
            }
        }
    }

3.通過屬性查找節點

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();
    }

關系的輸出結果為:

[ {
  "extensions" : { },
  "metadata" : {
    "id" : 337,
    "type" : "家人"
  },
  "data" : {
    "name" : "無",
    "ki" : "1234567890"
  },
  "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"
} ]

這裡說明一下,傳值為中文的時候,查詢不出來,可能需要編碼,因為工作暫時沒有用到,就沒有再研究了

 

更多詳情見請繼續閱讀下一頁的精彩內容: http://www.linuxidc.com/Linux/2015-05/117734p2.htm

 

Neo4j生成測試數據 http://www.linuxidc.com/Linux/2012-05/61466.htm

Neo4j運行原理 http://www.linuxidc.com/Linux/2012-02/53689.htm

Neo4j High Availability 配置 http://www.linuxidc.com/Linux/2012-02/53688.htm

Neo4J圖數據庫實踐系列

圖數據庫實踐系列 (一)--Neo4J簡介與安裝 http://www.linuxidc.com/Linux/2013-08/88766.htm

圖數據庫實踐系列 (二)--Neo4J空間數據存儲 http://www.linuxidc.com/Linux/2013-08/88767.htm

圖數據庫實踐系列 (三)--Neo4j Spatial的REST集成 http://www.linuxidc.com/Linux/2013-08/88768.htm

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