Repository: tinkerpop
Updated Branches:
  refs/heads/tp32 0bd9b5ae7 -> dde73e42b


Consistent format of step references should use a dash CTR


Project: http://git-wip-us.apache.org/repos/asf/tinkerpop/repo
Commit: http://git-wip-us.apache.org/repos/asf/tinkerpop/commit/dde73e42
Tree: http://git-wip-us.apache.org/repos/asf/tinkerpop/tree/dde73e42
Diff: http://git-wip-us.apache.org/repos/asf/tinkerpop/diff/dde73e42

Branch: refs/heads/tp32
Commit: dde73e42bc1aed1e73b71a38aa51a9c4641ef562
Parents: 0bd9b5a
Author: Stephen Mallette <sp...@genoprime.com>
Authored: Fri Jul 27 07:16:11 2018 -0400
Committer: Stephen Mallette <sp...@genoprime.com>
Committed: Fri Jul 27 07:16:11 2018 -0400

----------------------------------------------------------------------
 docs/src/dev/developer/for-committers.asciidoc    |  2 +-
 docs/src/recipes/between-vertices.asciidoc        |  6 +++---
 docs/src/recipes/collections.asciidoc             | 18 +++++++++---------
 docs/src/recipes/pagination.asciidoc              |  2 +-
 .../recipes/traversal-component-reuse.asciidoc    |  4 ++--
 docs/src/recipes/tree.asciidoc                    |  2 +-
 docs/src/reference/the-traversal.asciidoc         |  2 +-
 docs/src/tutorials/getting-started/index.asciidoc | 12 ++++++------
 .../src/tutorials/gremlins-anatomy/index.asciidoc | 16 ++++++++--------
 .../tutorials/the-gremlin-console/index.asciidoc  |  2 +-
 10 files changed, 33 insertions(+), 33 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/dev/developer/for-committers.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/dev/developer/for-committers.asciidoc 
b/docs/src/dev/developer/for-committers.asciidoc
index 43c9ce3..82b3609 100644
--- a/docs/src/dev/developer/for-committers.asciidoc
+++ b/docs/src/dev/developer/for-committers.asciidoc
@@ -366,7 +366,7 @@ in it
 * "the result should be ordered" - the exact results and should appear in the 
order presented
 * "the result should be unordered" - the exact results but can appear any order
 * "the result should be of" - results can be any of the specified values and 
in any order (use when guarantees
-regarding the exact results cannot be pre-determined easily - see the 
`range()` step tests for examples)
+regarding the exact results cannot be pre-determined easily - see the 
`range()`-step tests for examples)
 
 These final three types of assertions mentioned above should be followed by a 
Gherkin table that has one column, where
 each row value in that column represents a value to assert in the result. 
These values are type notation respected as

http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/recipes/between-vertices.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/recipes/between-vertices.asciidoc 
b/docs/src/recipes/between-vertices.asciidoc
index a947d3b..b32d323 100644
--- a/docs/src/recipes/between-vertices.asciidoc
+++ b/docs/src/recipes/between-vertices.asciidoc
@@ -33,7 +33,7 @@ g.V(1).out().where(__.in().hasId(6))             <6>
 ----
 
 <1> There are three edges from the vertex with the identifier of "1".
-<2> Filter those three edges using the `where()` step using the identifier of 
the vertex returned by `otherV()` to
+<2> Filter those three edges using the `where()`-step using the identifier of 
the vertex returned by `otherV()` to
 ensure it matches on the vertex of concern, which is the one with an 
identifier of "2".
 <3> Note that the same traversal will work if there are actual `Vertex` 
instances rather than just vertex identifiers.
 <4> The vertex with identifier "1" has all outgoing edges, so it would also be 
acceptable to use the directional steps
@@ -43,7 +43,7 @@ vertices with identifiers "2" and "3".
 <6> There's no reason why the same pattern of exclusion used for edges with 
`where()` can't work for a vertex between
 two vertices.
 
-The basic pattern of using `where()` step to find the "other" known vertex can 
be applied in far more complex
+The basic pattern of using `where()`-step to find the "other" known vertex can 
be applied in far more complex
 scenarios. For one such example, consider the following traversal that finds 
all the paths between a group of defined
 vertices:
 
@@ -113,6 +113,6 @@ g.V(vRexsterJob1, vBlueprintsJob1).as('job').
 ----
 
 While the traversals above are more complex, the pattern for finding "things" 
between two vertices is largely the same.
-Note the use of the `where()` step to terminate the traversers for a specific 
user. It is embedded in a `coalesce()`
+Note the use of the `where()`-step to terminate the traversers for a specific 
user. It is embedded in a `coalesce()`
 step to handle situations where the specified user did not complete an 
application for the specified job and will
 return `false` in those cases.

http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/recipes/collections.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/recipes/collections.asciidoc 
b/docs/src/recipes/collections.asciidoc
index 257d661..2b1b169 100644
--- a/docs/src/recipes/collections.asciidoc
+++ b/docs/src/recipes/collections.asciidoc
@@ -86,7 +86,7 @@ g.V().
 ----
 
 The call to `local()` executes its anonymous sub-traversal over each 
individual `List` iterator and as the
-sub-traversal ends with a `fold()` step, the results are reduced back into a 
`List` to preserve the original structure,
+sub-traversal ends with a `fold()`-step, the results are reduced back into a 
`List` to preserve the original structure,
 thus maintaining two traverser results.
 
 This pattern for unfolding and folding `List` traversers ends up having other 
applications:
@@ -112,7 +112,7 @@ g.V().union(limit(3).fold(),tail(3).fold()).   <3>
 with the highest degree (i.e. number of edges). By ending with `fold()` the 
`List` traverser structure is preserved
 thus returning two `List` objects. Consider this a method for choosing a "max" 
or a highly ranked vertex. In this case
 the rank was determined by the number of edges, but it could have just as 
easily been determined by a vertex property,
-edge property, a calculated value, etc. - one simply needs to alter the `by()` 
step modulator to `order()`.
+edge property, a calculated value, etc. - one simply needs to alter the 
`by()`-step modulator to `order()`.
 <3> For each `List` of vertices, filter that `List` to only include vertices 
that have an "age" property with a
 value greater than or equal to "29" and then average the results of each list. 
More generally, consider how this
 approach performs some kind of reducing calculation on each `List` traverser. 
In this case, an average was calculated,
@@ -194,11 +194,11 @@ the `mean()` to store in a `List` called "c". Note that 
`aggregate()` was used h
 the former is an eager collection of the elements in the stream (`store()` is 
lazy) and will force the traversal to be
 iterated up to that point before moving forward. Without that eager 
collection, "v" and "e" would not contain the
 complete information required for the production of "b" and "c".
-<6> Adding `fold()` step here is a bit of a trick. To see the trick, copy and 
paste all lines of Gremlin up to but
-not including this `fold()` step and run them against the "modern" graph. The 
output is three vertices and if the
-`profile()` step was added one would also see that the traversal contained 
three traversers. These three traversers
-with a vertex in each one were produced from the `repeat()` step (i.e. those 
vertices that had the "lang" of "java"
-when traversing away from "marko"). The `aggregate()` steps are side-effects 
and just allow the traversers to pass
+<6> Adding `fold()`-step here is a bit of a trick. To see the trick, copy and 
paste all lines of Gremlin up to but
+not including this `fold()`-step and run them against the "modern" graph. The 
output is three vertices and if the
+`profile()`-step was added one would also see that the traversal contained 
three traversers. These three traversers
+with a vertex in each one were produced from the `repeat()`-step (i.e. those 
vertices that had the "lang" of "java"
+when traversing away from "marko"). The `aggregate()`-steps are side-effects 
and just allow the traversers to pass
 through them unchanged. The `fold()` obviously converts those three traversers 
to a single `List` to make one
 traverser with a `List` inside. That means that the remaining steps following 
the `fold()` will only be executed one
 time each instead of three, which, as will be shown, is critical to the proper 
result.
@@ -212,7 +212,7 @@ presents an override to include "c" into the result.
 All of the above code and explanation show that `store()` can be used to 
construct `List` objects as side-effects
 which can then be used as a result. Note that `aggregate()` can be used to 
similar effect, should it make sense that
 lazy `List` creation is not acceptable with respect to the nature of the 
traversal. An interesting sub-pattern that
-emerges here is that the `by()` step can modulate its step to completely 
override the current traverser and ignore its
+emerges here is that the `by()`-step can modulate its step to completely 
override the current traverser and ignore its
 contents for purpose of that step. This ability to override a traverser acts 
as a powerful and flexible tool as it
 means that each traverser can effectively become a completely different object 
as determined by a sub-traversal.
 
@@ -361,7 +361,7 @@ g.V().
 
 <1> The `valueMap(true)` of a `Vertex` can be extended with the "degree" of 
the `Vertex` by performing a `union()` of
 the two traversals that produce that output (both produce `Map` objects).
-<2> The `unfold()` step is used to decompose the `Map` objects into key/value 
entries that are then constructed back
+<2> The `unfold()`-step is used to decompose the `Map` objects into key/value 
entries that are then constructed back
 into a single new `Map` given the patterns shown earlier. The `Map` objects of 
both traversals in the `union()` are
 essentially merged together.
 

http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/recipes/pagination.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/recipes/pagination.asciidoc 
b/docs/src/recipes/pagination.asciidoc
index c26a1fc..7e7da8d 100644
--- a/docs/src/recipes/pagination.asciidoc
+++ b/docs/src/recipes/pagination.asciidoc
@@ -64,7 +64,7 @@ NOTE: The first traversal above could also be written as 
`g.V().hasLabel('person
 In this case, there is no way to know the total count so the only way to know 
if the end of the results have been
 reached is to count the results from each paged result to see if there's less 
than the number expected or simply zero
 results. In that case, further requests for additional pages would be 
unnecessary. Of course, this approach is not
-free of problems either. Most graph databases will not optimize the `range()` 
step, meaning that the second traversal
+free of problems either. Most graph databases will not optimize the 
`range()`-step, meaning that the second traversal
 will repeat the iteration of the first two vertices to get to the second set 
of two vertices. In other words, for the
 second traversal, the graph will still read four vertices even though there 
was only a request for two.
 

http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/recipes/traversal-component-reuse.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/recipes/traversal-component-reuse.asciidoc 
b/docs/src/recipes/traversal-component-reuse.asciidoc
index 3b9b408..c623531 100644
--- a/docs/src/recipes/traversal-component-reuse.asciidoc
+++ b/docs/src/recipes/traversal-component-reuse.asciidoc
@@ -20,7 +20,7 @@ limitations under the License.
 Good software development practices require reuse to keep software 
maintainable. In Gremlin, there are often bits of
 traversal logic that could be represented as components that might be tested 
independently and utilized
 as part of other traversals. One approach to doing this would be to extract 
such logic into an anonymous traversal
-and provide it to a parent traversal through `flatMap()` step.
+and provide it to a parent traversal through `flatMap()`-step.
 
 Using the modern toy graph as an example, assume that there are number of 
traversals that are interested in filtering
 on edges where the "weight" property is greater than "0.5". A query like that 
might look like this:
@@ -42,7 +42,7 @@ g.V(1).flatMap(weightFilter).both()
 
 The `weightFilter` is an anonymous traversal and it is created by way `__` 
class. The `__` is omitted above from
 initalization of `weightFilter` because it is statically imported to the 
Gremlin Console. The `weightFilter` gets
-passed to the "full" traversal by way for `flatMap()` step and the results are 
the same. Of course, there is a problem.
+passed to the "full" traversal by way for `flatMap()`-step and the results are 
the same. Of course, there is a problem.
 If there is an attempt to use that `weightFilter` a second time, the traversal 
with thrown an exception because both
 the `weightFilter` and parent traversal have been "compiled" which prevents 
their re-use. A simple fix to this would
 be to clone the `weightFilter`.

http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/recipes/tree.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/recipes/tree.asciidoc b/docs/src/recipes/tree.asciidoc
index f87784f..879b26e 100644
--- a/docs/src/recipes/tree.asciidoc
+++ b/docs/src/recipes/tree.asciidoc
@@ -154,7 +154,7 @@ single result.
 
 The previous approaches to calculating the maximum depth use path calculations 
to achieve the answer. Path calculations
 can be expensive and if possible avoided if they are not needed. Another way 
to express a traversal that calculates
-the maximum depth is to use the `sack()` step:
+the maximum depth is to use the `sack()`-step:
 
 [gremlin-groovy,existing]
 ----

http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/reference/the-traversal.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/reference/the-traversal.asciidoc 
b/docs/src/reference/the-traversal.asciidoc
index 057ec6a..970dfca 100644
--- a/docs/src/reference/the-traversal.asciidoc
+++ b/docs/src/reference/the-traversal.asciidoc
@@ -437,7 +437,7 @@ g.V().both().both().both().count().iterate().toString()  <2>
 ----
 
 <1> `LazyBarrierStrategy` is a default strategy and thus, does not need to be 
explicitly activated.
-<2> With `LazyBarrierStrategy` activated, `barrier()` steps are automatically 
inserted where appropriate.
+<2> With `LazyBarrierStrategy` activated, `barrier()`-steps are automatically 
inserted where appropriate.
 
 *Additional References*
 

http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/tutorials/getting-started/index.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/tutorials/getting-started/index.asciidoc 
b/docs/src/tutorials/getting-started/index.asciidoc
index 11e2533..5d98c59 100644
--- a/docs/src/tutorials/getting-started/index.asciidoc
+++ b/docs/src/tutorials/getting-started/index.asciidoc
@@ -228,7 +228,7 @@ for the creation of 
link:http://tinkerpop.apache.org/docs/x.y.z/reference/#graph
 Second, don't forget that you are working with TinkerGraph which allows for 
identifier assignment. That is _not_ the
 case with most graph databases.
 
-Finally, the `as()` steps label the value held at a particular step so that 
you can reference back to it later in the
+Finally, the `as()`-steps label the value held at a particular step so that 
you can reference back to it later in the
 traversal. In this case, that allows you to reference both vertices as "v1" 
and "v2" during edge creation.
 
 === Graph Traversal - Staying Simple
@@ -333,7 +333,7 @@ graph = TinkerFactory.createModern()
 g = graph.traversal()
 ----
 
-Earlier we'd used the `has()` step to tell Gremlin how to find the "marko" 
vertex. Let's look at some other ways to
+Earlier we'd used the `has()`-step to tell Gremlin how to find the "marko" 
vertex. Let's look at some other ways to
 use `has()`. What if we wanted Gremlin to find the "age" values of both 
"vadas" and "marko"? In this case we could
 use the `within` comparator with `has()` as follows:
 
@@ -393,13 +393,13 @@ g.V().has('name','marko').as('exclude').
 ----
 
 We made two additions to the traversal to make it exclude "marko" from the 
results. First, we added the
-link:http://tinkerpop.apache.org/docs/x.y.z/reference/#as-step[as()] step. The 
`as()` step is not really a "step",
+link:http://tinkerpop.apache.org/docs/x.y.z/reference/#as-step[as()] step. The 
`as()`-step is not really a "step",
 but a "step modulator" - something that adds features to a step or the 
traversal. Here, the `as('exclude')` labels
-the `has()` step with the name "exclude" and all values that pass through that 
step are held in that label for later
+the `has()`-step with the name "exclude" and all values that pass through that 
step are held in that label for later
 use. In this case, the "marko" vertex is the only vertex to pass through that 
point, so it is held in "exclude".
 
-The other addition that was made was the `where()` step which is a filter step 
like `has()`. The `where()` is
-positioned after the `in()` step that has "person" vertices, which means that 
the `where()` filter is occurring
+The other addition that was made was the `where()`-step which is a filter step 
like `has()`. The `where()` is
+positioned after the `in()`-step that has "person" vertices, which means that 
the `where()` filter is occurring
 on the list of "marko" collaborators. The `where()` specifies that the 
"person" vertices passing through it should
 not equal (i.e. `neq()`) the contents of the "exclude" label. As it just 
contains the "marko" vertex, the `where()`
 filters out the "marko" that we get when we traverse back _in_ on the 
"created" edges.

http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/tutorials/gremlins-anatomy/index.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/tutorials/gremlins-anatomy/index.asciidoc 
b/docs/src/tutorials/gremlins-anatomy/index.asciidoc
index b36d881..998ff68 100644
--- a/docs/src/tutorials/gremlins-anatomy/index.asciidoc
+++ b/docs/src/tutorials/gremlins-anatomy/index.asciidoc
@@ -102,11 +102,11 @@ g.V().
     by(label()).next()
 ----
 
-the `GraphTraversal` components are represented by the `has()`, `outE()` and 
`groupCount()` steps. The key to reading
+the `GraphTraversal` components are represented by the `has()`, `outE()` and 
`groupCount()`-steps. The key to reading
 this Gremlin is to realize that the output of one step becomes the input to 
the next. Therefore, if you consider the
 start step of `V()` and realize that it returns vertices in the graph, the 
input to `has()` is going to be a `Vertex`.
-The `has()` step is a filtering step and will take the vertices that are 
passed into it and block any that do not
-meet the criteria it has specified. In this case, that means that the output 
of the `has()` step is vertices that have
+The `has()`-step is a filtering step and will take the vertices that are 
passed into it and block any that do not
+meet the criteria it has specified. In this case, that means that the output 
of the `has()`-step is vertices that have
 the label of "person" and the "name" property value of "josh" or "marko". 
 
 image::gremlin-anatomy-filter.png[width=600]
@@ -118,7 +118,7 @@ incoming "marko" and "josh" vertices and traverse their 
outgoing edges as the ou
 image::gremlin-anatomy-navigate.png[width=600]
 
 Now that it is clear that the output of `outE()` is an edge, you are aware of 
the input to `groupCount()` - edges.
-The `groupCount()` step requires a bit more discussion of other Gremlin 
components and will thus be examined in the
+The `groupCount()`-step requires a bit more discussion of other Gremlin 
components and will thus be examined in the
 following sections. At this point, it is simply worth noting that the output 
of `groupCount()` is a `Map` and if a
 Gremlin step followed it, the input to that step would therefore be a `Map`.
 
@@ -130,7 +130,7 @@ remaining pieces.
 === Step Modulators
 
 It's been explained in several ways now that the output of one step becomes 
the input to the next, so surely the `Map`
-produced by `groupCount()` will feed the `by()` step. As alluded to at the end 
of the previous section, that
+produced by `groupCount()` will feed the `by()`-step. As alluded to at the end 
of the previous section, that
 expectation is not correct. Technically, `by()` is not a step. It is a step 
modulator. A step modulator modifies the
 behavior of the previous step. In this case, it is telling Gremlin how the key 
for the `groupCount()` should be
 determined. Or said another way in the context of the example, it answers this 
question: What do you want the "marko"
@@ -148,7 +148,7 @@ methods, thus allowing `__.label()` to be referred to 
simply as `label()`.
 
 NOTE: In Java, the full package name for the `__` is 
`org.apache.tinkerpop.gremlin.process.traversal.dsl.graph`.
 
-In the context of the example traversal, you can imagine Gremlin getting to 
the `groupCount()` step with a "marko" or
+In the context of the example traversal, you can imagine Gremlin getting to 
the `groupCount()`-step with a "marko" or
 "josh" outgoing edge, checking the `by()` modulator to see "what to group by", 
and then putting edges into buckets
 by their `label()` and incrementing a counter on each bucket.
 
@@ -160,7 +160,7 @@ The output is thus an edge label distribution for the 
outgoing edges of the "mar
 
 Terminal steps are different from the `GraphTraversal` steps in that terminal 
steps do not return a `GraphTraversal`
 instance, but instead return the result of the `GraphTraversal`. In the case 
of the example, `next()` is the terminal
-step and it returns the `Map` constructed in the `groupCount()` step. Other 
examples of terminal steps include:
+step and it returns the `Map` constructed in the `groupCount()`-step. Other 
examples of terminal steps include:
 `hasNext()`, `toList()`, and `iterate()`. Without terminal steps, you don't 
have a result. You only have a
 `GraphTraversal`
 
@@ -169,7 +169,7 @@ 
link:http://tinkerpop.apache.org/docs/x.y.z/tutorials/the-gremlin-console/#resul
 
 === Expressions
 
-It is worth backing up a moment to re-examine the `has()` step. Now that you 
have come to understand anonymous
+It is worth backing up a moment to re-examine the `has()`-step. Now that you 
have come to understand anonymous
 traversals, it would be reasonable to make the assumption that the `within()` 
argument to `has()` falls into that
 category. It does not. The `within()` option is not a step either, but 
instead, something called an expression. An
 expression typically refers to anything not mentioned in the previously 
described Gremlin component categories that

http://git-wip-us.apache.org/repos/asf/tinkerpop/blob/dde73e42/docs/src/tutorials/the-gremlin-console/index.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/tutorials/the-gremlin-console/index.asciidoc 
b/docs/src/tutorials/the-gremlin-console/index.asciidoc
index cc090d9..b34be6c 100644
--- a/docs/src/tutorials/the-gremlin-console/index.asciidoc
+++ b/docs/src/tutorials/the-gremlin-console/index.asciidoc
@@ -353,7 +353,7 @@ public final class Traversals {
 ----
 
 Of course, this won't work and you will likely be left wondering why your unit 
test for "removeByName" is failing, but
-the identical line of code in the console is doing what is expected.  The 
`drop()` step is not some special form
+the identical line of code in the console is doing what is expected.  The 
`drop()`-step is not some special form
 of terminating step that iterates the traversal - it is just one more step 
that vertices will pass through.  Outside
 of the console you must add `iterate()` as follows:
 

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