Gremlin graph traversal that uses previous edge property value to filter later edges












6















In a graph traversal I only want to consider edges that have a property that is equal to the property of one of the edges visited in a previous step in the traversal.



I found http://tinkerpop.apache.org/docs/current/recipes/#traversal-induced-values but this appears to only work for a single object, in my case I need the value to change as I traverse. For example starting at V1 that has the outbound edges (E1, E2, E3...) I want to traverse out E1 to V2 and then traverse along any edge from V2 where edge.property(x) == E1.property(x), and do the same for all edges out of V1 (E2, E3, ...)



I can't find any documentation that supports a way to do this in Gremlin, is it possible?










share|improve this question





























    6















    In a graph traversal I only want to consider edges that have a property that is equal to the property of one of the edges visited in a previous step in the traversal.



    I found http://tinkerpop.apache.org/docs/current/recipes/#traversal-induced-values but this appears to only work for a single object, in my case I need the value to change as I traverse. For example starting at V1 that has the outbound edges (E1, E2, E3...) I want to traverse out E1 to V2 and then traverse along any edge from V2 where edge.property(x) == E1.property(x), and do the same for all edges out of V1 (E2, E3, ...)



    I can't find any documentation that supports a way to do this in Gremlin, is it possible?










    share|improve this question



























      6












      6








      6


      2






      In a graph traversal I only want to consider edges that have a property that is equal to the property of one of the edges visited in a previous step in the traversal.



      I found http://tinkerpop.apache.org/docs/current/recipes/#traversal-induced-values but this appears to only work for a single object, in my case I need the value to change as I traverse. For example starting at V1 that has the outbound edges (E1, E2, E3...) I want to traverse out E1 to V2 and then traverse along any edge from V2 where edge.property(x) == E1.property(x), and do the same for all edges out of V1 (E2, E3, ...)



      I can't find any documentation that supports a way to do this in Gremlin, is it possible?










      share|improve this question
















      In a graph traversal I only want to consider edges that have a property that is equal to the property of one of the edges visited in a previous step in the traversal.



      I found http://tinkerpop.apache.org/docs/current/recipes/#traversal-induced-values but this appears to only work for a single object, in my case I need the value to change as I traverse. For example starting at V1 that has the outbound edges (E1, E2, E3...) I want to traverse out E1 to V2 and then traverse along any edge from V2 where edge.property(x) == E1.property(x), and do the same for all edges out of V1 (E2, E3, ...)



      I can't find any documentation that supports a way to do this in Gremlin, is it possible?







      gremlin graph-traversal






      share|improve this question















      share|improve this question













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      edited Oct 20 '16 at 22:37







      Chris Reeves

















      asked Oct 20 '16 at 22:18









      Chris ReevesChris Reeves

      313




      313
























          1 Answer
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          6














          We can use the modern toy graph that ships with TinkerPop:



          gremlin> graph = TinkerFactory.createModern()
          ==>tinkergraph[vertices:6 edges:6]
          gremlin> g = graph.traversal()
          ==>graphtraversalsource[tinkergraph[vertices:6 edges:6], standard]


          This graph already contains 6 edges of which two have a weight of 1.0:



          gremlin> g.E().valueMap()
          ==>[weight:0.5]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:0.2]


          We use one of these two edges with a weight of 1.0 to get the other edge with the same weight. By traversing the first of these two edges, we land at a vertex that has two outgoing edges:



          gremlin> g.V(1).outE().has('weight',1.0).inV().outE()
          ==>e[10][4-created->5]
          ==>e[11][4-created->3]
          gremlin> g.V(1).outE().has('weight',1.0).inV().outE().valueMap()
          ==>[weight:1.0]
          ==>[weight:0.4]


          One of these edges is the other one with the weight of 1.0. So, we only have to filter these edges based on the weight of the first edge:



          gremlin> g.V(1).outE().has('weight',1.0).
          as('firstEdge'). // save the first edge
          inV().outE().
          where(eq('firstEdge')). // compare with the first edge
          by('weight') // use only the 'weight' property for the equality check
          ==>e[10][4-created->5]





          share|improve this answer





















          • 1





            Is there any way to accomplish this without the match() step? Microsoft Azure's CosmosDB supports the gremlin query language, expect it can't handle the match() step yet :(

            – SnoopDougg
            Nov 14 '18 at 14:08











          • Thanks for asking about the match() step. While reading my answer again, I noticed that it isn't really necessary to use match() here. I edited my answer to solve the problem without using match() which makes it much more readable in my opinion.

            – Florian Hockmann
            Nov 21 '18 at 17:00











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          1 Answer
          1






          active

          oldest

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          6














          We can use the modern toy graph that ships with TinkerPop:



          gremlin> graph = TinkerFactory.createModern()
          ==>tinkergraph[vertices:6 edges:6]
          gremlin> g = graph.traversal()
          ==>graphtraversalsource[tinkergraph[vertices:6 edges:6], standard]


          This graph already contains 6 edges of which two have a weight of 1.0:



          gremlin> g.E().valueMap()
          ==>[weight:0.5]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:0.2]


          We use one of these two edges with a weight of 1.0 to get the other edge with the same weight. By traversing the first of these two edges, we land at a vertex that has two outgoing edges:



          gremlin> g.V(1).outE().has('weight',1.0).inV().outE()
          ==>e[10][4-created->5]
          ==>e[11][4-created->3]
          gremlin> g.V(1).outE().has('weight',1.0).inV().outE().valueMap()
          ==>[weight:1.0]
          ==>[weight:0.4]


          One of these edges is the other one with the weight of 1.0. So, we only have to filter these edges based on the weight of the first edge:



          gremlin> g.V(1).outE().has('weight',1.0).
          as('firstEdge'). // save the first edge
          inV().outE().
          where(eq('firstEdge')). // compare with the first edge
          by('weight') // use only the 'weight' property for the equality check
          ==>e[10][4-created->5]





          share|improve this answer





















          • 1





            Is there any way to accomplish this without the match() step? Microsoft Azure's CosmosDB supports the gremlin query language, expect it can't handle the match() step yet :(

            – SnoopDougg
            Nov 14 '18 at 14:08











          • Thanks for asking about the match() step. While reading my answer again, I noticed that it isn't really necessary to use match() here. I edited my answer to solve the problem without using match() which makes it much more readable in my opinion.

            – Florian Hockmann
            Nov 21 '18 at 17:00
















          6














          We can use the modern toy graph that ships with TinkerPop:



          gremlin> graph = TinkerFactory.createModern()
          ==>tinkergraph[vertices:6 edges:6]
          gremlin> g = graph.traversal()
          ==>graphtraversalsource[tinkergraph[vertices:6 edges:6], standard]


          This graph already contains 6 edges of which two have a weight of 1.0:



          gremlin> g.E().valueMap()
          ==>[weight:0.5]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:0.2]


          We use one of these two edges with a weight of 1.0 to get the other edge with the same weight. By traversing the first of these two edges, we land at a vertex that has two outgoing edges:



          gremlin> g.V(1).outE().has('weight',1.0).inV().outE()
          ==>e[10][4-created->5]
          ==>e[11][4-created->3]
          gremlin> g.V(1).outE().has('weight',1.0).inV().outE().valueMap()
          ==>[weight:1.0]
          ==>[weight:0.4]


          One of these edges is the other one with the weight of 1.0. So, we only have to filter these edges based on the weight of the first edge:



          gremlin> g.V(1).outE().has('weight',1.0).
          as('firstEdge'). // save the first edge
          inV().outE().
          where(eq('firstEdge')). // compare with the first edge
          by('weight') // use only the 'weight' property for the equality check
          ==>e[10][4-created->5]





          share|improve this answer





















          • 1





            Is there any way to accomplish this without the match() step? Microsoft Azure's CosmosDB supports the gremlin query language, expect it can't handle the match() step yet :(

            – SnoopDougg
            Nov 14 '18 at 14:08











          • Thanks for asking about the match() step. While reading my answer again, I noticed that it isn't really necessary to use match() here. I edited my answer to solve the problem without using match() which makes it much more readable in my opinion.

            – Florian Hockmann
            Nov 21 '18 at 17:00














          6












          6








          6







          We can use the modern toy graph that ships with TinkerPop:



          gremlin> graph = TinkerFactory.createModern()
          ==>tinkergraph[vertices:6 edges:6]
          gremlin> g = graph.traversal()
          ==>graphtraversalsource[tinkergraph[vertices:6 edges:6], standard]


          This graph already contains 6 edges of which two have a weight of 1.0:



          gremlin> g.E().valueMap()
          ==>[weight:0.5]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:0.2]


          We use one of these two edges with a weight of 1.0 to get the other edge with the same weight. By traversing the first of these two edges, we land at a vertex that has two outgoing edges:



          gremlin> g.V(1).outE().has('weight',1.0).inV().outE()
          ==>e[10][4-created->5]
          ==>e[11][4-created->3]
          gremlin> g.V(1).outE().has('weight',1.0).inV().outE().valueMap()
          ==>[weight:1.0]
          ==>[weight:0.4]


          One of these edges is the other one with the weight of 1.0. So, we only have to filter these edges based on the weight of the first edge:



          gremlin> g.V(1).outE().has('weight',1.0).
          as('firstEdge'). // save the first edge
          inV().outE().
          where(eq('firstEdge')). // compare with the first edge
          by('weight') // use only the 'weight' property for the equality check
          ==>e[10][4-created->5]





          share|improve this answer















          We can use the modern toy graph that ships with TinkerPop:



          gremlin> graph = TinkerFactory.createModern()
          ==>tinkergraph[vertices:6 edges:6]
          gremlin> g = graph.traversal()
          ==>graphtraversalsource[tinkergraph[vertices:6 edges:6], standard]


          This graph already contains 6 edges of which two have a weight of 1.0:



          gremlin> g.E().valueMap()
          ==>[weight:0.5]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:1.0]
          ==>[weight:0.4]
          ==>[weight:0.2]


          We use one of these two edges with a weight of 1.0 to get the other edge with the same weight. By traversing the first of these two edges, we land at a vertex that has two outgoing edges:



          gremlin> g.V(1).outE().has('weight',1.0).inV().outE()
          ==>e[10][4-created->5]
          ==>e[11][4-created->3]
          gremlin> g.V(1).outE().has('weight',1.0).inV().outE().valueMap()
          ==>[weight:1.0]
          ==>[weight:0.4]


          One of these edges is the other one with the weight of 1.0. So, we only have to filter these edges based on the weight of the first edge:



          gremlin> g.V(1).outE().has('weight',1.0).
          as('firstEdge'). // save the first edge
          inV().outE().
          where(eq('firstEdge')). // compare with the first edge
          by('weight') // use only the 'weight' property for the equality check
          ==>e[10][4-created->5]






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 21 '18 at 16:59

























          answered Oct 21 '16 at 7:24









          Florian HockmannFlorian Hockmann

          1,439717




          1,439717








          • 1





            Is there any way to accomplish this without the match() step? Microsoft Azure's CosmosDB supports the gremlin query language, expect it can't handle the match() step yet :(

            – SnoopDougg
            Nov 14 '18 at 14:08











          • Thanks for asking about the match() step. While reading my answer again, I noticed that it isn't really necessary to use match() here. I edited my answer to solve the problem without using match() which makes it much more readable in my opinion.

            – Florian Hockmann
            Nov 21 '18 at 17:00














          • 1





            Is there any way to accomplish this without the match() step? Microsoft Azure's CosmosDB supports the gremlin query language, expect it can't handle the match() step yet :(

            – SnoopDougg
            Nov 14 '18 at 14:08











          • Thanks for asking about the match() step. While reading my answer again, I noticed that it isn't really necessary to use match() here. I edited my answer to solve the problem without using match() which makes it much more readable in my opinion.

            – Florian Hockmann
            Nov 21 '18 at 17:00








          1




          1





          Is there any way to accomplish this without the match() step? Microsoft Azure's CosmosDB supports the gremlin query language, expect it can't handle the match() step yet :(

          – SnoopDougg
          Nov 14 '18 at 14:08





          Is there any way to accomplish this without the match() step? Microsoft Azure's CosmosDB supports the gremlin query language, expect it can't handle the match() step yet :(

          – SnoopDougg
          Nov 14 '18 at 14:08













          Thanks for asking about the match() step. While reading my answer again, I noticed that it isn't really necessary to use match() here. I edited my answer to solve the problem without using match() which makes it much more readable in my opinion.

          – Florian Hockmann
          Nov 21 '18 at 17:00





          Thanks for asking about the match() step. While reading my answer again, I noticed that it isn't really necessary to use match() here. I edited my answer to solve the problem without using match() which makes it much more readable in my opinion.

          – Florian Hockmann
          Nov 21 '18 at 17:00




















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