Cypher:分层排序

时间:2016-01-08 04:09:38

标签: neo4j cypher

我是Cypher的新手。我能够建立一个地理网络(从世界到大陆,从国家到地区)及其人口 ![Geographies and Population

您可以使用此命令重现它或检查控制台的链接: http://console.neo4j.org/r/dkh90c

CREATE (n1:Geo {name:'World'}),
(n2:Geo {name:'EMEA'})-[:BELONG_TO]->(n1),
(n4:Geo {name:'NORAM'})-[:BELONG_TO]->(n1),
(n5:Geo {name:'Middle East'})-[:BELONG_TO]->(n2),
(n6:Geo {name:'Africa'})-[:BELONG_TO]->(n2),
(n7:Geo {name:'Europe'})-[:BELONG_TO]->(n2),
(n8:Geo {name:'France'})-[:BELONG_TO]->(n7),
(n9:Geo {name:'Germany'})-[:BELONG_TO]->(n7),
(n10:Geo {name:'Italy'})-[:BELONG_TO]->(n7),
(n11:Geo {name:'United Kingdom'})-[:BELONG_TO]->(n7),
(n12:Geo {name:'England'})-[:BELONG_TO]->(n11),
(n13:Geo {name:'Scotland'})-[:BELONG_TO]->(n11),
(n14:Geo {name:'Wales'})-[:BELONG_TO]->(n11),
(n15:Geo {name:'Northern Ireland'})-[:BELONG_TO]->(n11),
(n16:Geo {name:'United Arab Emirates'})-[:BELONG_TO]->(n5),
(n17:Geo {name:'South Africa'})-[:BELONG_TO]->(n6),
(n18:Geo {name:'Canada'})-[:BELONG_TO]->(n4),
(n19:Geo {name:'United States of America'})-[:BELONG_TO]->(n4),
(n20:Geo {name:'Mexico'})-[:BELONG_TO]->(n4),

(:Population {year:'2014',amount:66.1})-[:LIVE_IN]->(n8),
(:Population {year:'2014',amount:81.2})-[:LIVE_IN]->(n9),
(:Population {year:'2013',amount:59.83})-[:LIVE_IN]->(n10),
(:Population {year:'2011',amount:53.01})-[:LIVE_IN]->(n12),
(:Population {year:'2011',amount:5.295})-[:LIVE_IN]->(n13),
(:Population {year:'2011',amount:3.063})-[:LIVE_IN]->(n14),
(:Population {year:'2011',amount:1.811})-[:LIVE_IN]->(n15),
(:Population {year:'2013',amount:9.346})-[:LIVE_IN]->(n16),
(:Population {year:'2013',amount:52.98})-[:LIVE_IN]->(n17),
(:Population {year:'2013',amount:35.16})-[:LIVE_IN]->(n18),
(:Population {year:'2014',amount:318.9})-[:LIVE_IN]->(n19),
(:Population {year:'2013',amount:122.3})-[:LIVE_IN]->(n20)

我还可以使用此命令计算每个地理区域的总人口:

MATCH (n:Population)-[r:LIVE_IN]->(g1:Geo)-[:BELONG_TO*0..]->(g2:Geo)
RETURN g2.name AS Geography, SUM(toFloat(n.amount)) AS Population
ORDER BY Population DESC

但是,我对结果的排序不满意: enter image description here

如您所见,美国在EMEA和欧洲之间插入。在显示结果之前,有没有办法首先按'BELONG_TO'层次排序?此外,尽管我的所有数据只有最多3位小数,但我不明白为什么SUM()命令返回一个疯狂的小数位数。

感谢您的帮助。

1 个答案:

答案 0 :(得分:1)

当然,您应该能够按路径的长度排序:

MATCH path=(n:Population)-[r:LIVE_IN]->(g1:Geo)-[:BELONG_TO*0..]->(g2:Geo)
RETURN g2.name AS Geography, SUM(toFloat(n.amount)) AS Population
ORDER BY length(path) ASC, Population DESC

我认为你因为floating point math而得到了很多小数。我认为你应该可以做到:

ROUND(SUM(toFloat(n.amount)) * 1000.0) / 1000.0

修改

你是对的,你需要按顺序添加路径长度:

MATCH path=(n:Population)-[r:LIVE_IN]->(g1:Geo)-[:BELONG_TO*1..]->(g2:Geo)
RETURN g1.name AS Geography, SUM(toFloat(n.amount)) AS Population, length(path) AS path_length
ORDER BY length(path) ASC, Population DESC 

是的,你绝对是对的,你的道路需要以g2为世界而结束。您可以通过匹配(g2:Geo {name: 'World'})类似于我在评论中建议的方式来做到这一点,或者如果您将来碰巧有更多的根节点(也许我们会在月球或火星上殖民!),你可以这样做:

MATCH path=(n:Population)-[r:LIVE_IN]->(g1:Geo)-[:BELONG_TO*]->(g2:Geo)
WHERE NOT((g2:Geo)-[:BELONG_TO]->())
RETURN g1.name AS Geography, SUM(toFloat(n.amount)) AS Population, length(path) AS path_length
ORDER BY length(path) ASC, Population DESC 

这意味着我们只想要g2不属于任何东西的路径。否则g2可以是Europe