database - Query family tree and marriage information in Neo4j -


i have family tree in neo4j database

db

how can query tree starting root node (126 in case) , husband, wife information of each node (similar image)?

i later need extract data in code in similar json format

root = {   name: "...",   children: [{     name: "...",     children: []   }, {     name: "...",     children: []   }],   marriage: [{     name: "first wife"   }, {     name: "second wife"   }] };

thanks

after researching more cypher, found solution answer own question

this cypher query. query root user id 682

match p=(root:person {user_id: 682})-[:father_child|mother_child *1..5]->       (child:person)<-[:father_child|mother_child]-(:person) nodes(p) all_nodes, relationships(p) all_relationships, p p return extract(n in all_nodes | n.user_id) `path`,        extract(r in all_relationships | type(r)) `relation`,        length(p) `length` order `length`;

the sample result this

+-----------------------------------------------------------------------------+ | path              | relation                                       | length | +-----------------------------------------------------------------------------+ | [682,687,683]     | ["father_child","mother_child"]                | 2      | | [682,684,683]     | ["father_child","mother_child"]                | 2      | | [682,688,683]     | ["father_child","mother_child"]                | 2      | | [682,687,693,689] | ["father_child","father_child","mother_child"] | 3      | | [682,684,690,685] | ["father_child","father_child","mother_child"] | 3      | | [682,684,692,686] | ["father_child","father_child","mother_child"] | 3      | +-----------------------------------------------------------------------------+

the first column contains array. array except last value path root person child, last element other parent of child. reason have last element case when 1 person has many wives (or husbands).

the second column contains array. similarly, array relation corresponding path in first column.

from there, can construct data structure in favorite programming language


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