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电商网站建设运营协议,seo公司网站,做网站阳泉,推广运营工作内容深解Cypher中的聚合值或计数的聚合要么从查询返回，要么用作多步查询下一部分的输入。查看数据模型 CALL db.schema.visualization() 查看图中节点的属性类型 CALL db.schema.notetypeproperties() 查看图中关系的属性类型 CALL db.schema.reltypeproperties() C…

深解Cypher中的聚合
- 值或计数的聚合要么从查询返回，要么用作多步查询下一部分的输入。
- 查看数据模型
  - CALL db.schema.visualization()
- 查看图中节点的属性类型
  - CALL db.schema.notetypeproperties()
- 查看图中关系的属性类型
  - CALL db.schema.reltypeproperties()
- Cypher中的聚合
  - 列表
    - 列表是包含元素的数组。列表中的元素不必都是同一类型。
    - 使用 [ ]
      - MATCH (m:Movie) RETURN [m.title, m.released, date().year - date(m.released).year + 1 ]
    - 使用 collect()
      - MATCH (a:Actor)--(m:Movie) WITH a,collect(m.title) AS Movies RETURN a.name AS Actor,Movies LIMIT 10
      - 工作原理
        返回一个元素列表。可以 collect() 在查询期间随时使用创建列表。在查询期间创建列表时，会发生聚合。
        在聚合期间，图形引擎通常根据行中的某个值对数据进行分组。（非聚合值是分组键）
      - Examples
        多个MATCH
        PROFIL EMATCH (m:Movie {title:'Jupiter Ascending'}) MATCH (d:Person)-[:DIRECTED]->(m) MATCH (a:Person)-[:ACTED_IN]->(m) RETURN m.title AS Title, collect(DISTINCT a.name) AS Actors,collect(DISTINCT d.name) AS Directors
        优化
        PROFILE MATCH (m:Movie {title:'Jupiter Ascending'}) MATCH (d:Person)-[:DIRECTED]->(m) WITH m, collect (d.name) AS Directors MATCH (a:Person)-[:ACTED_IN]->(m) RETURN m.title AS Title, collect(a.name) AS Actors, Directors
        类似传统SQL将每部分添加查询条件得到最终结果
        单个MATCH
        PROFILE MATCH (d:Person)-[:DIRECTED]->(m:Movie {title:'Jupiter Ascending'})<-[:ACTED_IN]-(a:Person) RETURN m.title AS Title, collect(DISTINCT a.name) AS Actors,collect(DISTINCT d.name) AS Directors
      - 收集节点
        MATCH (m:Movie) UNWIND m.languages AS language WITH language, collect(m) AS movies MERGE (l:Language {name:language}) WITH l, movies UNWIND movies AS m WITH l,mMERGE (l)<-[:SPEAKS]-(m)
        以作为 language 分组键，收集节点
        使用 nodes() 返回路径中的节点列表。
        MATCH path = (p:Person {name: 'Elvis Presley'})-[*4]-(a:Actor) WITH nodes(path) AS n UNWIND n AS x WITH x WHERE x:Movie RETURN DISTINCT x.title
      - 收集关系
        MATCH (u:User {name: "Misty Williams"})-[x]->() WITH collect(x) AS ratings UNWIND ratings AS r WITH r WHERE r.rating <= 1 RETURN r.rating AS Rating, endNode(r).title AS Title
        使用 endNode() 返回关系末尾的节点。
      - 与子查询
        PROFILE MATCH (m:Movie)<-[:ACTED_IN]-(p:Person) WITH m, collect(p.name) AS Actors WHERE size(Actors) <= 3 RETURN m.title AS Movie, Actors
        查询重写
        PROFILE CALL { MATCH (m:Movie)<-[:ACTED_IN]-(p:Person) WITH m , collect(p.name) as Actors WHERE size(Actors)<= 3 RETURN m.title as Movie, Actors } RETURN Movie, Actors
  - 使用 count()
    - 可以在查询处理期间对属性、节点、关系、路径或行进行计数。
      - MATCH (a:Person)-[:ACTED_IN]->(m:Movie)<-[:DIRECTED]-(d:Person) RETURN a.name AS ActorName,d.name AS DirectorName,count(*) AS NumMovies, collect(m.title) AS Movies ORDER BY NumMovies DESC
    - 在属性值上使用
      - MATCH (p:Person) RETURN count(p) , count(p.born)，count(p.name)
        此查询看到 born 的计数与其它不同，说明节点中无 born 属性
    - 作为过滤查询的子句
      - MATCH (a:Person)-[:ACTED_IN]->(m:Movie) WITH a, count(*) AS NumMovies, collect(m.title) AS Movies WHERE NumMovies = 2 RETURN a.name AS Actor,Movies
    - 计算节点数
      - MATCH (p:Person {name: 'Elvis Presley'})-[]-(m:Movie)-[]-(a:Actor) RETURN count(*), count(m), count (a)
  - 使用模式理解
    - 模式理解的行为类似于使用 OPTIONAL MATCH，并且对于这个特定的查询，经过的时间减少了。
      - 原
        PROFILE MATCH(m:Movie) WHERE m.year = 2015 OPTIONAL MATCH (a:Person)-[:ACTED_IN]-(m) WITH m, collect(DISTINCT a.name) AS Actors OPTIONAL MATCH (m)-[:DIRECTED]-(d:Person) RETURN m.title AS Movie, Actors, collect (DISTINCT d.name) AS Directors
      - 模式
        PROFILE MATCH (m:Movie) WHERE m.year = 2015 RETURN m.title AS Movie,[(dir:Person)-[:DIRECTED]->(m) | dir.name] AS Directors,[(actor:Person)-[:ACTED_IN]->(m) | actor.name] AS Actors
    - 模式理解条件的过滤
      - MATCH (a:Person {name: 'Tom Hanks'}) RETURN [(a)--(b:Movie) WHERE b.title CONTAINS "Toy" | b.title ]AS Movies
    - 返回的列表添加更多属性（相当于Oracle中的合并列）
      - 相当于不重复属性的collect()，注：模式理解下的属性可能为0，所有用size()定义
        MATCH (a:Actor)-[:ACTED_IN]->(m:Movie) WHERE 2000 <= m.year <= 2005 AND a.born.year >= 1980 RETURN a.name AS Actor, a.born AS Born,collect(DISTINCT m.title) AS Movies ORDER BY Actor
        MATCH (a:Actor) WHERE a.born.year >= 1980 WITH a, [(a)-[:ACTED_IN]->(m:Movie) WHERE 2000 <= m.year <= 2005 | m.title] AS Movies WHERE size(Movies) > 0 RETURN a.name as Actor, a.born as Born, Movies
      - MATCH (a:Person {name: 'Tom Hanks'}) RETURN [(a)--(b:Movie) WHERE b.title CONTAINS "Toy" | b.title + ": " + b.year] AS Movies