Neo4j/CYPHER: 如何高效地从节点、关系和目标节点查询某些属性?

Neo4j/CYPHER: How can I query some properties from a node, its relationships and target node efficiently?

我想查询一组节点的属性子集、它们的关系以及具有某些属性的目标节点(来自 Java 通过 REST 使用 CYPHER)。我的想法如下:

MATCH a WHERE id(a) IN {ids}
OPTIONAL MATCH (a)-[r]->(b)
RETURN id(a), a.name, a.attr1, r.attr2, id(b), b.name

现在我得到每个关系的 "row",但它多次包含每个节点的数据 "a"。

有没有更好的方法来进行这样的查询,以便节点 "a" 的属性只传输一次?一种思路是做2个单独的查询,但是如果WHERE条件稍微复杂一点,可能会执行两次。

使用收集功能。

http://neo4j.com/docs/stable/query-aggregation.html#aggregation-collect

MATCH a WHERE id(a) IN {ids}
OPTIONAL MATCH (a)-[r]->(b)
RETURN id(a), a.name, a.attr1, collect([r.attr2, id(b), b.name])

@frant.hartm的回答完全正确!但是,如果您想使用稍微不同的方法,您可以考虑以下方法:

想象下图:

create 
    (p1:Employee {name:"John"})-[:works_at]->(e1:Employer {name:"Microsoft"}),
    (p1)-[:works_at]->(e2:Employer {name:"Oracle"}),
    (p2:Employee {name:"Jim"})-[:works_at]->(e1),
    (p2)-[:works_at]->(e2)
return p1, p2, e1, e2

// RESULT:
// (Jim)-works_at->(Microsoft)
// (Jim)-works_at->(Oracle)
// (John)-works_at->(Microsoft)
// (John)-works_at->(Oracle)

为了 COLLECT 获得良好的输出格式,您还可以使用 文字映射 ,如下例所示:

MATCH 
    (a:Employee)-[r:works_at]->(e:Employer) 
WITH 
    a, 
    r, 
    COLLECT({name:e.name, id:ID(e)}) AS employers
WITH 
    a, 
    COLLECT({ type : type(r), employers : employers}) AS employerRels
WITH 
    { name : a.name, id: ID(a), employers : employerRels} AS employee
RETURN 
    employee

然后,很棒的结果将很好地格式化 JSON 像这样:

{
  "name": "Jim",
  "id": 227,
  "employers": [
    {
      "type": "works_at",
      "employers": [
        {
          "name": "Oracle",
          "id": 226
        }
      ]
    },
    {
      "type": "works_at",
      "employers": [
        {
          "name": "Microsoft",
          "id": 225
        }
      ]
    }
  ]
},
{
  "name": "John",
  "id": 224,
  "employers": [
    {
      "type": "works_at",
      "employers": [
        {
          "name": "Oracle",
          "id": 226
        }
      ]
    },
    {
      "type": "works_at",
      "employers": [
        {
          "name": "Microsoft",
          "id": 225
        }
      ]
    }
  ]
}