Analysing the edges between two vertices gremlin - graph-databases

Question

Here is my graph
g.addV('user').property('id',1).as('1').
addV('user').property('id',2).as('2').
addV('user').property('id',3).as('3').
addE('follow').from('1').to('2').
addE('follow').from('1').to('3').iterate()
The below is my approach when a user wants to follow another user suppose 2 wants to follow 3
I'm checking first whether follow edge exist between 2 and 3
if(g.V().has(id, 2).outE(follow).inV().has(id, 3).hasNext())
{
//if exists that means he already following him so i'm dropping the follow edge and adding unfollow edge to 2,3.
}
else if(g.V().has(id, 2).outE(unfollow).inV().has(id, 3).hasNext())
{
//if exists he already unfollowed him and he wants to follow him again i'm dropping the unfollow edge and adding the follow edge to 2,3.
}
else
{
// there is no edges between 2,3 so he is following him first so i'm adding follow edge 2,3.
}
but the drawback of this approach is every time it needs to query 2 times which impacts performance . Can you suggest me a better approach ?

Answer 1

You can build if-then-else semantics with choose(). A direct translation of your logic there would probably look like this:
gremlin> g.addV('user').property(id,1).as('1').
......1> addV('user').property(id,2).as('2').
......2> addV('user').property(id,3).as('3').
......3> addE('follow').from('1').to('2').
......4> addE('follow').from('1').to('3').iterate()
gremlin> g.V(3).as('target').
......1> V(2).as('source').
......2> choose(outE('follow').aggregate('d1').inV().hasId(3),
......3> sideEffect(addE('unfollow').from('source').to('target').
......4> select('d1').unfold().drop()).constant('unfollowed'),
......5> choose(outE('unfollow').aggregate('d2').inV().hasId(3),
......6> sideEffect(addE('follow').from('source').to('target').
......7> select('d2').unfold().drop()).constant('followed'),
......8> addE('follow').from('source').to('target').constant('followed-first')))
==>followed-first
gremlin> g.E()
==>e[0][1-follow->2]
==>e[1][1-follow->3]
==>e[2][2-follow->3]
gremlin> g.V(3).as('target').
......1> V(2).as('source').
......2> choose(outE('follow').aggregate('d1').inV().hasId(3),
......3> sideEffect(addE('unfollow').from('source').to('target').
......4> select('d1').unfold().drop()).constant('unfollowed'),
......5> choose(outE('unfollow').aggregate('d2').inV().hasId(3),
......6> sideEffect(addE('follow').from('source').to('target').
......7> select('d2').unfold().drop()).constant('followed'),
......8> addE('follow').from('source').to('target').constant('followed-first')))
==>unfollowed
gremlin> g.E()
==>e[0][1-follow->2]
==>e[1][1-follow->3]
==>e[3][2-unfollow->3]
gremlin> g.V(3).as('target').
......1> V(2).as('source').
......2> choose(outE('follow').aggregate('d1').inV().hasId(3),
......3> sideEffect(addE('unfollow').from('source').to('target').
......4> select('d1').unfold().drop()).constant('unfollowed'),
......5> choose(outE('unfollow').aggregate('d2').inV().hasId(3),
......6> sideEffect(addE('follow').from('source').to('target').
......7> select('d2').unfold().drop()).constant('followed'),
......8> addE('follow').from('source').to('target').constant('followed-first')))
==>followed
gremlin> g.E()
==>e[0][1-follow->2]
==>e[1][1-follow->3]
==>e[4][2-follow->3]