如何遍历第一邻居及其关系 [英] how to traverse first neighbors and their relationships

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问题描述

我想这可以轻松实现,但无法解决.是否可以在一次遍历(Neo4j 1.9RC2)中实现以下目标: 从节点开始,包括其所有第一个邻居(深度1),并包括其邻居之间的所有链接(如果有).方向无关紧要.

I guess this can be trivially achieved but can't figure it out. Is it possible to achieve the following in one traversal (Neo4j 1.9RC2): starting from a node, include all its first neighbors (depth 1) and include all links between it's neighbors (if any). The direction is irrelevant.

这是一个测试场景:

  +-+     +-+                 +-+
  |7+----->5|                 |4+------+
  +++     +-+-----------------+-+      |
   |        |                 |        |
   |        |      +--+       |        |
   |        +------|1 |-------+        |
  ++>              +-++               +-+     +-+
  |8|                |                |2+-----|6|
  +-+                +----------------+++     +-+
                                       |
                                       |
                                      +-+
                                      |3|
                                      +-+

从节点1开始,我想包括节点2,4和5以及关系2-4和4-5,但不包括2-6或5-7. 和测试治具:

starting from node 1, i want to include nodes 2,4 and 5 and relationships 2-4 and 4-5, but not 2-6 or 5-7. And the test fixture:

Node[] nodes = new Node[10];
Transaction tx = graphDb.beginTx();
try {
    for (int i = 1; i < 10; i++) {
        Node node = graphDb.createNode();
        node.setProperty("id", i);
        otuIdIndex.add(node, "id", i);
        nodes[i] = node;//nodes[0] is empty!
    }
    nodes[1].createRelationshipTo(nodes[2], RelTypes.CONNECTED_TO);
    nodes[1].createRelationshipTo(nodes[4], RelTypes.CONNECTED_TO);
    nodes[1].createRelationshipTo(nodes[5], RelTypes.CONNECTED_TO);
    nodes[2].createRelationshipTo(nodes[4], RelTypes.CONNECTED_TO);
    nodes[2].createRelationshipTo(nodes[6], RelTypes.CONNECTED_TO);
    nodes[3].createRelationshipTo(nodes[2], RelTypes.CONNECTED_TO);
    nodes[5].createRelationshipTo(nodes[4], RelTypes.CONNECTED_TO);
    nodes[7].createRelationshipTo(nodes[5], RelTypes.CONNECTED_TO);
    nodes[7].createRelationshipTo(nodes[8], RelTypes.CONNECTED_TO);
    tx.success();
} finally {
    tx.finish();
}

final TraversalDescription traversalDescription = Traversal.description().breadthFirst()
        .relationships(RelTypes.CONNECTED_TO, Direction.BOTH)
        .uniqueness(Uniqueness.RELATIONSHIP_GLOBAL)
        .evaluator(Evaluators.toDepth(2))
        .evaluator(Evaluators.excludeStartPosition());
for (Path path : traversalDescription.traverse(nodes[1])) {
    System.out.println(path);
}

输出为:

(1)--[CONNECTED_TO,0]-->(2)
(1)--[CONNECTED_TO,1]-->(4)
(1)--[CONNECTED_TO,2]-->(5)
(1)--[CONNECTED_TO,0]-->(2)--[CONNECTED_TO,3]-->(4)
(1)--[CONNECTED_TO,0]-->(2)--[CONNECTED_TO,4]-->(6)
(1)--[CONNECTED_TO,0]-->(2)<--[CONNECTED_TO,5]--(3)
(1)--[CONNECTED_TO,1]-->(4)<--[CONNECTED_TO,6]--(5)
(1)--[CONNECTED_TO,2]-->(5)<--[CONNECTED_TO,7]--(7)

我想做的是排除这三个:

and what I'm trying to do is to exclude these three:

(1)--[CONNECTED_TO,0]-->(2)<--[CONNECTED_TO,5]--(3)
(1)--[CONNECTED_TO,0]-->(2)--[CONNECTED_TO,4]-->(6)
(1)--[CONNECTED_TO,2]-->(5)<--[CONNECTED_TO,6]--(7)

Lasse 建议以下密码查询我需要做什么,但是我想知道这是否可以通过Traversal来实现.

which sort of does what I need but I'm wondering if this is doable with Traversal.

推荐答案

好,找到了一种方法,但是它太慢了,在200K节点/700K关系数据库中,每秒加载一个网络的时间,而fromDepth(1).toDepth(1)评估程序的加载时间为0.006秒(150倍):

Ok, found one way of doing this, but it's way too slow, in a 200K nodes/700K relationships db it takes a second to load one network compared to 0.006sec for fromDepth(1).toDepth(1) evaluator (150 times factor):

final TraversalDescription traversalDescription = Traversal.description().breadthFirst()                                    
        .relationships(RelTypes.CONNECTED_TO, Direction.BOTH)                                                               
        .uniqueness(Uniqueness.RELATIONSHIP_GLOBAL)                                                                         
        .evaluator(Evaluators.includeIfAcceptedByAny(new PathEvaluator() {                                                  
            private final Set<Long> firstNeighbors = new HashSet<Long>();                                                   
            @Override                                                                                                       
            public Evaluation evaluate(Path path, BranchState state) {                                                      
                if (path.length() == 0) {                                                                                    
                    return Evaluation.EXCLUDE_AND_CONTINUE;                                                                 
                } else if (path.length() == 1) {                                                                             
                    firstNeighbors.add(path.endNode().getId());                                                             
                    return Evaluation.INCLUDE_AND_CONTINUE;                                                                 
                } else if (path.length() == 2) {                                                                            
                    final Iterator<Node> iterator = path.nodes().iterator();                                                
                    iterator.next();//start node, just skip                                                                 
                    Node firstNeighbor = iterator.next();                                                                   
                    if (firstNeighbors.contains(path.endNode().getId()) && firstNeighbors.contains(firstNeighbor.getId())) {
                        return Evaluation.INCLUDE_AND_CONTINUE;                                                             
                    } else {                                                                                                
                        return Evaluation.EXCLUDE_AND_CONTINUE;                                                             
                    }                                                                                                       
                } else {                                                                                                    
                    return Evaluation.EXCLUDE_AND_PRUNE;                                                                    
                }                                                                                                           
            }                                                                                                               

            @Override                                                                                                       
            public Evaluation evaluate(Path path) {                                                                         
                return evaluate(path, null);                                                                                
            }                                                                                                               
        }));     

更新:暴风雨建议使用

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