# tinkerpop/gremlin

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# Loop Pattern

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Looping is essential for traversing to an arbitrary depth. The loop step allows you to loop over a particular set of steps in the pipeline. For the examples to follow, the Grateful Dead graph discussed in Defining a More Complex Property Graph is used. Most of the examples in this section make use of GremlinPipeline.optimize(boolean). Please refer to Traversal Optimization for the rationale behind this method.

g = new TinkerGraph()

You can create an explicit pipeline to walk a particular path through the graph (outE.inV).

gremlin> g.v(89).optimize(false).outE.inV.path
==>[v[89], e[7021][89-followed_by->83], v[83]]
==>[v[89], e[7022][89-followed_by->21], v[21]]
==>[v[89], e[7023][89-followed_by->206], v[206]]
==>[v[89], e[7006][89-followed_by->127], v[127]]
...

You can also loop for an arbitrary depth (i.e. any arbitrary number of loops through the looped section of the pipeline). In the example below, the loop step is used. The single integer argument to loop states how many steps back to loop over (i.e. outE.inV). The provided closure says to continue to loop while the number of loops that have occurred is less than 3. Thus, what is emitted from loop is the vertices 2 steps away from vertex 89 (Dark Star). Finally, the path step is used to emit the paths of length 2 emanating from vertex 89.

gremlin> g.v(89).optimize(false).outE.inV.loop(2){it.loops < 3}.path
==>[v[89], e[7021][89-followed_by->83], v[83], e[1411][83-followed_by->13], v[13]]
==>[v[89], e[7021][89-followed_by->83], v[83], e[1410][83-followed_by->12], v[12]]
==>[v[89], e[7021][89-followed_by->83], v[83], e[1415][83-followed_by->114], v[114]]
==>[v[89], e[7021][89-followed_by->83], v[83], e[1414][83-followed_by->15], v[15]]
...

Feel free to use as to label the loop point.

gremlin> g.v(89).optimize(false).as('x').outE.inV.loop('x'){it.loops < 3}.path
==>[v[89], e[7021][89-followed_by->83], v[83], e[1411][83-followed_by->13], v[13]]
==>[v[89], e[7021][89-followed_by->83], v[83], e[1410][83-followed_by->12], v[12]]
==>[v[89], e[7021][89-followed_by->83], v[83], e[1415][83-followed_by->114], v[114]]
==>[v[89], e[7021][89-followed_by->83], v[83], e[1414][83-followed_by->15], v[15]]
...

Note the the expression above is equivalent to the “unrolled” version below.

gremlin> g.v(89).optimize(false).outE.inV.outE.inV.path
==>[v[89], e[7021][89-followed_by->83], v[83], e[1411][83-followed_by->13], v[13]]
==>[v[89], e[7021][89-followed_by->83], v[83], e[1410][83-followed_by->12], v[12]]
==>[v[89], e[7021][89-followed_by->83], v[83], e[1415][83-followed_by->114], v[114]]
==>[v[89], e[7021][89-followed_by->83], v[83], e[1414][83-followed_by->15], v[15]]
...

In fact:

gremlin> g.v(89).outE.inV.loop(1){it.loops < 3} == g.v(89).outE.inV.outE.inV
==>true

## Loop Bundles and their Metadata

The it component of the loop step closure has three properties that are accessible. These properties can be used to reason about when to break out of the loop.

1. it.object: the current object of the traverser.
2. it.path: the current path of the traverser.
3. it.loops: the number of times the traverser has looped through the loop section.

NOTE: If you are using it.path in the while/emit closure, be sure that the pipeline has had its path functionality enabled.

gremlin> g.v(89).out.loop(1){it.loops < 3}{it.path.contains(g.v(12))}
Cannot invoke method contains() on null object
Display stack trace? [yN]
gremlin> g.v(89).out.loop(1){it.loops < 3}{it.path.contains(g.v(12))}.enablePath
==>v[19]
==>v[27]
==>v[130]
==>v[49]
==>v[252]
...

## Using an Emit Closure

The loop step can be updated with a second closure called the “emit closure.” This boolean-based closure will determine wether the current object in the loop structure is emitted or not. As such, it is possible to emit intermediate objects, not simply those at the end of the loop.

gremlin> g.v(89).out.loop(1){it.loops < 4}.count()
==>70307
gremlin> g.v(89).out.loop(1){it.loops < 4}{true}.count()
==>71972
gremlin> g.v(89).out.loop(1){it.loops < 4}{it.object.id == '89'}.count()
==>582

Finally, use toString() to see how loop wraps a section of the pipeline.

gremlin> println g.v(89).optimize(false).outE.inV.path
[StartPipe, OutEdgesPipe, InVertexPipe, PathPipe]
==>null
gremlin> println g.v(89).optimize(false).outE.inV.loop(2){it.loops < 3}.path
[StartPipe, LoopPipe([OutEdgesPipe, InVertexPipe]), PathPipe]
==>null
gremlin> println g.v(89).optimize(false).out.loop(1){it.loops < 3}.path
[StartPipe, LoopPipe([OutPipe]), PathPipe]
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