Marko,
Thank you very much, I really appreciate it, I will start going through your
response here. I have also added the copy/split aggregate functionality into
our Gremlin Client. I was not aware of the if then else as well, will extend
our client to support this.
Apologise, will explain Scenario One.
I have a User Node that has a relationship LINKED_TO_CENTRE
I would like to get a query that can give me all Users that do not have a
relationship LINKED_TO_CENTRE. I was thinking of the Except/Retain pattern for
this, e.g. get all users as aggregate A then get all users linked as aggregate
b - then use except/retain or something along these lines.
On Another note, is there a way to get unique()._() to preserve all previous
pipes and placeholders, the reason is I want to use unique() before doing a
table projection. And unique breaks closures? ( I have a separate post on this
in the mail list)
Marko, if you interested here is how the .NET code looks like that I am
currently trying to write to generate a report. Its not yet finished as I need
to take into consideration your feedback, but I am sure I will get their
eventually.
//ToDo Chained 'As' statements are reversed, bug in gremlin plugin with
chained as - https://github.com/neo4j/community/issues/114
var resultSet = graphClient
.RootNode
.Out<Agency>(Hosts.TypeKey, a => a.Key ==
userIdentifier.AgencyKey)
.In<User>(UserBelongsTo.TypeKey, u => u.Username ==
userIdentifier.Username)
.Out<Centre>(UserLinkedToCentre.TypeKey)
.As("Centre")
.In<User>(UserLinkedToCentre.TypeKey)
//.GremlinDistinct() - breaks pipes for table output
.As("UserGivenName")
.As("UserFamilyName")
.In<Referral>(CreatedBy.TypeKey, r => r.Completed == false)
.As("ReferralId")
.Out<ReferralWhoSection>(ReferralHasWhoSection.TypeKey)
.As("ReferralDate")
.Out<ReferralParticipant>(HasParticipant.TypeKey)
.As("ParticipantName")
.In<ReferralWhoSection>(HasParticipant.TypeKey)
.In<Referral>(ReferralHasWhoSection.TypeKey)
//.GremlinDistinct() - breaks pipes for table output
.Table<ReferralByGroup, Centre, User, User, Referral, Referral,
ReferralParticipant>(
centre => centre.Name,
user => user.FamilyName,
user => user.GivenName,
referral => referral.UniqueId,
referral2 => referral2.DateInitiatedUtc,
participant => participant.Name
);
Thank You
Much appreciated
-----Original Message-----
From: user-boun...@lists.neo4j.org [mailto:user-boun...@lists.neo4j.org] On
Behalf Of Marko Rodriguez
Sent: Saturday, 3 December 2011 4:10 AM
To: Neo4j user discussions
Subject: Re: [Neo4j] Gremlin Query - Help
Hi,
> Scenario 1:
> I would like to get all Nodes that do not have a relationship to another
> node. What is the best way to do this Gremlin?
>
> Root => NodeA => NodeB
> Root => NodeC
>
> Output should be NodeC
I don't understand the problem.
> Scenario 2:
> Root = > User -> Centre
>
> I would like to get all centres for userA, and then get all users who
> are also linked to the same centres of the userA
userA.out('hasCentre').in('hasCentre').except([userA])
> Scenario 3:
> User => Centre
> I would like to get all users that do not have a link to a Centre, and if
> this is the case, do a projection that returns a fake centre with property
> "Unknown"
g.V.ifThenElse{it.out('hasCentre').filter{it ==
aCentre}.hasNext()}{}{println "${it} has center unknown"}
If you have an index of your Users, then its more efficient to hit that index,
then iterate through all vertices (g.V). E.g.
g.idx(T.v)[[type:'User']].ifThenElse....
> Scenario 4:
>
> REFERRAL => PERSON
>
> I would like to combine a query that gets all Referrals that are
> linked to a person and project a table result (contains referrals and
> person property values (this is easy to do) However, I then want to do a
> SPLIT query, that gets referrals without the persons, and then MERGE both
> back into the table projection? So table projecton might look like this.
> I guess this is done with .table().it{}....cap, but what I am not sure, is
> how to do a split and merge in parallel and then get that merge projected
> into the same table.
I don't quite understand your problem, but here is an example of splitting and
merging.
g.v(1).out('knows').copySplit(_().out('knows').name,
_().out('created').name).fairMerge
This will get all the people that v[1] knows and then generate two parallel
pipeline. Each friend of v[1] is copied to each of the 2 parallel pipelines.
One pipeline will get their friend's names and one will get their created
project's names. It will then merge those two parallel pipelines into a single
stream. You can do either fairMerge or exhaustMerge depending on the merging
algorithm you want. fairMerge is more memory efficient. I need to write more
about split/merge in the Gremlin documentation.
https://github.com/tinkerpop/gremlin/wiki/Split-Merge-Pattern <-- will
work on it :)
HTH,
Marko.
http://markorodriguez.com
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