Janusgraph Gremlin addE created different vertices id after index implemented - gremlin
I am new to janusgraph and gremlin, when I try to create an edge with two existing vertices, I expect the return edge information, the edge source and end vertices id should be the same as I used to create the edge, however, it is not, two new ids are return. Moreover, when I try to find the edges connecting to one of the vertex ("tom"), I found that ("tom") has an edge connecting from and to it-self with has a different id, but the vertice count is just 2.
gremlin> g.V().count()
==>0
gremlin> tom = g.addV("party").property("name", "Tom").property("identity_number", "01234567")\
.property("identity_type", "PASSPORT").property("identity_country", "USA").next()
==>v[57402]
gremlin> mary = g.addV("party").property("name", "Mary").property("identity_number", "76543210")\
.property("identity_type", "PASSPORT").property("identity_country", "USA").next()
==>v[61626]
gremlin> g.V(tom).addE('relationship').to(mary)
==>e[3k4-18ci-80et-1bia][57474-relationship->61570]
gremlin> g.V(tom).bothE().otherV().path().by(__.valueMap().with(WithOptions.tokens))
==>path[{id=57402, label=party, identity_country=[USA], identity_number=[01234567],\
identity_type=[PASSPORT], name=[Tom]}, {id=3k4-18ci-80et-1bia, label=relationship},\
{id=57474, label=party, identity_country=[USA], identity_number=[01234567], identity_type=[PASSPORT],\
name=[Tom]}]
gremlin> g.V().count()
==>2
Could anyone tell me if this is a normal situation? or if there is some configuration make this happened?
Many Thanks.
UPDATE:
I find that this situation is happened after I implemented the janusgraph index by the following code:
m = amlGraph.openManagement();
party = m.makeVertexLabel('party').partition().make();
relationship = m.makeEdgeLabel('relationship').make();
identity_country_key = m.makePropertyKey('identity_country').dataType(String.class).make();
identity_number_key = m.makePropertyKey('identity_number').dataType(String.class).make();
identity_type_key = m.makePropertyKey('identity_type').dataType(String.class).make();
name_key = m.makePropertyKey('name').dataType(String.class).make();
first_seen_datetime_key = m.makePropertyKey('first_seen_datetime').dataType(Date.class).make();
relationship_type_key = m.makePropertyKey('relationship_type').dataType(String.class).make();
party = m.getVertexLabel('party');
identity_country_key = m.getPropertyKey('identity_country');
identity_number_key = m.getPropertyKey('identity_number');
identity_type_key = m.getPropertyKey('identity_type');
name_key = m.getPropertyKey('name');
m.buildIndex('partyMixed', Vertex.class).addKey(identity_country_key, Mapping.TEXTSTRING.asParameter(), Parameter.of('identity_country', 'identity_country')).addKey(identity_number_key, Mapping.TEXTSTRING.asParameter(), Parameter.of('identity_number', 'identity_number')).addKey(identity_type_key, Mapping.TEXTSTRING.asParameter(), Parameter.of('identity_type', 'identity_type')).addKey(name_key, Mapping.TEXTSTRING.asParameter(), Parameter.of('name', 'name')).indexOnly(party).buildMixedIndex('search');
relationship = m.getEdgeLabel('relationship');
first_seen_datetime_key = m.getPropertyKey('first_seen_datetime');
relationship_type_key = m.getPropertyKey('relationship_type');
m.buildIndex('relationshipMixed', Edge.class).addKey(first_seen_datetime_key).addKey(relationship_type_key).indexOnly(relationship).buildMixedIndex('search');
m.commit()
Which version of JanusGraph are you using ? May be if you are using an older version it can be a bug...
I used one of the latest version(0.5.3) and tried to generate the same scenario and I am getting the correct ID.
gremlin>
gremlin> tom = g.addV("party").property("name", "Tom").property("identity_number", "01234567").property("identity_type", "PASSPORT").property("identity_country", "USA").next()
==>v[4112]
gremlin>
gremlin> mary = g.addV("party").property("name", "Mary").property("identity_number", "76543210").property("identity_type", "PASSPORT").property("identity_country", "USA").next()
==>v[40964232]
gremlin>
gremlin> g.V(tom).addE('relationship').to(mary)
==>e[2rm-368-3ehh-oe07c][4112-relationship->40964232]
gremlin>
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I assume that your graph looks kinda like this: g = TinkerGraph.open().traversal() g.addV('student').property('name', 'A'). addE('scored').to(addV('subject').property('name', 'Math')). property('mark', 77). addV('student').property('name', 'B'). addE('scored').to(addV('subject').property('name', 'History')). property('mark', 70). addV('student').property('name', 'C'). addE('scored').to(addV('subject').property('name', 'Science')). property('mark', 97).iterate() Now the easiest way to gather the data is this: gremlin> g.V().has('student', 'name', within('A', 'B', 'C')).as('student'). outE('scored').as('mark').inV().as('major'). select('student','major','mark'). by('name'). by('name'). by('mark') ==>[student:A,major:Math,mark:77] ==>[student:B,major:History,mark:70] ==>[student:C,major:Science,mark:97] But if you really depend on the format shown in your question, you can do this: gremlin> g.V().has('student', 'name', within('A', 'B', 'C')). store('student').by('name'). outE('scored').store('mark').by('mark'). inV().store('major').by('name'). cap('student','major','mark') ==>[major:[Math,History,Science],student:[A,B,C],mark:[77,70,97]] If you want to get the cap'ed result to be ordered by marks, you'll need a mix of the 2 queries: gremlin> g.V().has('student', 'name', within('A', 'B', 'C')).as('a'). outE('scored').as('b'). order(). by('mark'). inV().as('c'). select('a','c','b'). by('name'). by('name'). by('mark'). aggregate('student').by(select('a')). aggregate('major').by(select('b')). aggregate('mark').by(select('c')). cap('student','major','mark') ==>[major:[History,Math,Science],student:[B,A,C],mark:[70,77,97]] To order by the order of inputs: gremlin> input = ['C', 'B', 'A']; [] gremlin> g.V().has('student', 'name', within(input)).as('a'). order(). by {input.indexOf(it.value('name'))}. outE('scored').as('b'). inV().as('c'). select('a','c','b'). by('name'). by('name'). by('mark'). aggregate('student').by(select('a')). aggregate('major').by(select('b')). aggregate('mark').by(select('c')). cap('student','major','mark') ==>[major:[97,70,77],student:[C,B,A],mark:[Science,History,Math]]
Data to plot graph in gremlin
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Answered in the gremlin-users mailing list: Basically - you can use the Gremlin extension and this query: g.V().outE("likes").timestamp.groupCount().cap().next()