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Posted to commits@tinkerpop.apache.org by sp...@apache.org on 2017/01/10 18:47:51 UTC
svn commit: r1778175 [3/22] - in /tinkerpop/site:
docs/3.2.4-SNAPSHOT/dev/provider/ docs/3.2.4-SNAPSHOT/images/
docs/3.2.4-SNAPSHOT/recipes/ docs/3.2.4-SNAPSHOT/reference/
docs/3.2.4-SNAPSHOT/tutorials/the-gremlin-console/
javadocs/3.2.4-SNAPSHOT/core/...
Modified: tinkerpop/site/docs/3.2.4-SNAPSHOT/reference/index.html
URL: http://svn.apache.org/viewvc/tinkerpop/site/docs/3.2.4-SNAPSHOT/reference/index.html?rev=1778175&r1=1778174&r2=1778175&view=diff
==============================================================================
--- tinkerpop/site/docs/3.2.4-SNAPSHOT/reference/index.html (original)
+++ tinkerpop/site/docs/3.2.4-SNAPSHOT/reference/index.html Tue Jan 10 18:47:50 2017
@@ -2008,12 +2008,14 @@ gremlin> graph.features()
==>FEATURES
> GraphFeatures
>-- <span class="key">Transactions</span>: <span class="predefined-constant">false</span>
->-- <span class="key">ConcurrentAccess</span>: <span class="predefined-constant">false</span>
->-- <span class="key">ThreadedTransactions</span>: <span class="predefined-constant">false</span>
>-- <span class="key">Computer</span>: <span class="predefined-constant">true</span>
>-- <span class="key">Persistence</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">ConcurrentAccess</span>: <span class="predefined-constant">false</span>
+>-- <span class="key">ThreadedTransactions</span>: <span class="predefined-constant">false</span>
> VariableFeatures
>-- <span class="key">Variables</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">BooleanValues</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">ByteValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">DoubleValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">FloatValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">IntegerValues</span>: <span class="predefined-constant">true</span>
@@ -2029,33 +2031,33 @@ gremlin> graph.features()
>-- <span class="key">FloatArrayValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">IntegerArrayValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">LongArrayValues</span>: <span class="predefined-constant">true</span>
->-- <span class="key">ByteValues</span>: <span class="predefined-constant">true</span>
->-- <span class="key">BooleanValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">StringArrayValues</span>: <span class="predefined-constant">true</span>
> VertexFeatures
->-- <span class="key">MetaProperties</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">AddVertices</span>: <span class="predefined-constant">true</span>
>-- <span class="key">RemoveVertices</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">MetaProperties</span>: <span class="predefined-constant">true</span>
>-- <span class="key">DuplicateMultiProperties</span>: <span class="predefined-constant">true</span>
->-- <span class="key">AddVertices</span>: <span class="predefined-constant">true</span>
>-- <span class="key">MultiProperties</span>: <span class="predefined-constant">true</span>
>-- <span class="key">AddProperty</span>: <span class="predefined-constant">true</span>
>-- <span class="key">RemoveProperty</span>: <span class="predefined-constant">true</span>
>-- <span class="key">NumericIds</span>: <span class="predefined-constant">true</span>
>-- <span class="key">StringIds</span>: <span class="predefined-constant">true</span>
>-- <span class="key">UuidIds</span>: <span class="predefined-constant">true</span>
->-- <span class="key">UserSuppliedIds</span>: <span class="predefined-constant">true</span>
>-- <span class="key">CustomIds</span>: <span class="predefined-constant">false</span>
>-- <span class="key">AnyIds</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">UserSuppliedIds</span>: <span class="predefined-constant">true</span>
> VertexPropertyFeatures
>-- <span class="key">AddProperty</span>: <span class="predefined-constant">true</span>
>-- <span class="key">RemoveProperty</span>: <span class="predefined-constant">true</span>
>-- <span class="key">NumericIds</span>: <span class="predefined-constant">true</span>
>-- <span class="key">StringIds</span>: <span class="predefined-constant">true</span>
>-- <span class="key">UuidIds</span>: <span class="predefined-constant">true</span>
->-- <span class="key">UserSuppliedIds</span>: <span class="predefined-constant">true</span>
>-- <span class="key">CustomIds</span>: <span class="predefined-constant">false</span>
>-- <span class="key">AnyIds</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">UserSuppliedIds</span>: <span class="predefined-constant">true</span>
>-- <span class="predefined-type">Properties</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">BooleanValues</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">ByteValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">DoubleValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">FloatValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">IntegerValues</span>: <span class="predefined-constant">true</span>
@@ -2071,8 +2073,6 @@ gremlin> graph.features()
>-- <span class="key">FloatArrayValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">IntegerArrayValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">LongArrayValues</span>: <span class="predefined-constant">true</span>
->-- <span class="key">ByteValues</span>: <span class="predefined-constant">true</span>
->-- <span class="key">BooleanValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">StringArrayValues</span>: <span class="predefined-constant">true</span>
> EdgeFeatures
>-- <span class="key">RemoveEdges</span>: <span class="predefined-constant">true</span>
@@ -2082,11 +2082,13 @@ gremlin> graph.features()
>-- <span class="key">NumericIds</span>: <span class="predefined-constant">true</span>
>-- <span class="key">StringIds</span>: <span class="predefined-constant">true</span>
>-- <span class="key">UuidIds</span>: <span class="predefined-constant">true</span>
->-- <span class="key">UserSuppliedIds</span>: <span class="predefined-constant">true</span>
>-- <span class="key">CustomIds</span>: <span class="predefined-constant">false</span>
>-- <span class="key">AnyIds</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">UserSuppliedIds</span>: <span class="predefined-constant">true</span>
> EdgePropertyFeatures
>-- <span class="predefined-type">Properties</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">BooleanValues</span>: <span class="predefined-constant">true</span>
+>-- <span class="key">ByteValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">DoubleValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">FloatValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">IntegerValues</span>: <span class="predefined-constant">true</span>
@@ -2102,8 +2104,6 @@ gremlin> graph.features()
>-- <span class="key">FloatArrayValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">IntegerArrayValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">LongArrayValues</span>: <span class="predefined-constant">true</span>
->-- <span class="key">ByteValues</span>: <span class="predefined-constant">true</span>
->-- <span class="key">BooleanValues</span>: <span class="predefined-constant">true</span>
>-- <span class="key">StringArrayValues</span>: <span class="predefined-constant">true</span>
</code></pre>
</div>
@@ -2363,9 +2363,7 @@ use cases include:</p>
gremlin> graph.variables()
==>variables[<span class="key">size</span>:<span class="integer">0</span>]
gremlin> graph.variables().set(<span class="string"><span class="delimiter">'</span><span class="content">systemAdmins</span><span class="delimiter">'</span></span>,[<span class="string"><span class="delimiter">'</span><span class="content">stephen</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">peter</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">pavel</span><span class="delimiter">'</span></span>])
-==><span class="predefined-constant">null</span>
gremlin> graph.variables().set(<span class="string"><span class="delimiter">'</span><span class="content">systemUsers</span><span class="delimiter">'</span></span>,[<span class="string"><span class="delimiter">'</span><span class="content">matthias</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">marko</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">josh</span><span class="delimiter">'</span></span>])
-==><span class="predefined-constant">null</span>
gremlin> graph.variables().keys()
==>systemAdmins
==>systemUsers
@@ -2376,7 +2374,6 @@ gremlin> graph.variables().get(<span
==>marko
==>josh
gremlin> graph.variables().remove(<span class="string"><span class="delimiter">'</span><span class="content">systemAdmins</span><span class="delimiter">'</span></span>)
-==><span class="predefined-constant">null</span>
gremlin> graph.variables().keys()
==>systemUsers</code></pre>
</div>
@@ -2592,8 +2589,7 @@ gremlin> graph.tx().submit {<span cla
==>v[<span class="integer">0</span>]
gremlin> graph.tx().submit {<span class="local-variable">it</span>.addVertex(<span class="string"><span class="delimiter">"</span><span class="content">name</span><span class="delimiter">"</span></span>,<span class="string"><span class="delimiter">"</span><span class="content">daniel</span><span class="delimiter">"</span></span>)}.exponentialBackoff(<span class="integer">10</span>)
==>v[<span class="integer">1</span>]
-gremlin> graph.close()
-==><span class="predefined-constant">null</span></code></pre>
+gremlin> graph.close()</code></pre>
</div>
</div>
<div class="paragraph">
@@ -2870,9 +2866,7 @@ gremlin> g = graph.traversal()
gremlin> f = <span class="keyword">new</span> <span class="predefined-type">ByteArrayOutputStream</span>()
==>
gremlin> graph.io(graphson()).writer().create().writeVertex(f, g.V(<span class="integer">1</span>).next(), BOTH)
-==><span class="predefined-constant">null</span>
-gremlin> f.close()
-==><span class="predefined-constant">null</span></code></pre>
+gremlin> f.close()</code></pre>
</div>
</div>
<div class="paragraph">
@@ -2951,11 +2945,9 @@ gremlin> g = graph.traversal()
gremlin> f = <span class="keyword">new</span> <span class="predefined-type">ByteArrayOutputStream</span>()
==>
gremlin> mapper = graph.io(graphson()).mapper().embedTypes(<span class="predefined-constant">true</span>).create()
-==>org.apache.tinkerpop.gremlin.structure.io.graphson.GraphSONMapper<span class="error">@</span><span class="integer">54</span>b57a4
+==>org.apache.tinkerpop.gremlin.structure.io.graphson.GraphSONMapper<span class="error">@</span><span class="integer">4</span>a6fe0fa
gremlin> graph.io(graphson()).writer().mapper(mapper).create().writeVertex(f, g.V(<span class="integer">1</span>).next(), BOTH)
-==><span class="predefined-constant">null</span>
-gremlin> f.close()
-==><span class="predefined-constant">null</span></code></pre>
+gremlin> f.close()</code></pre>
</div>
</div>
<div class="paragraph">
@@ -3143,11 +3135,9 @@ gremlin> g = graph.traversal()
gremlin> f = <span class="keyword">new</span> <span class="predefined-type">ByteArrayOutputStream</span>()
==>
gremlin> mapper = graph.io(graphson()).mapper().version(GraphSONVersion.V2_0).create()
-==>org.apache.tinkerpop.gremlin.structure.io.graphson.GraphSONMapper<span class="error">@</span><span class="integer">4471753</span>e
+==>org.apache.tinkerpop.gremlin.structure.io.graphson.GraphSONMapper<span class="error">@</span><span class="integer">46264</span>b96
gremlin> graph.io(graphson()).writer().mapper(mapper).create().writeVertex(f, g.V(<span class="integer">1</span>).next(), BOTH)
-==><span class="predefined-constant">null</span>
-gremlin> f.close()
-==><span class="predefined-constant">null</span></code></pre>
+gremlin> f.close()</code></pre>
</div>
</div>
<div class="paragraph">
@@ -4140,17 +4130,16 @@ made more salient on a larger graph. The
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> graph = TinkerGraph.open()
==>tinkergraph[<span class="key">vertices</span>:<span class="integer">0</span> <span class="key">edges</span>:<span class="integer">0</span>]
gremlin> graph.io(graphml()).readGraph(<span class="string"><span class="delimiter">'</span><span class="content">data/grateful-dead.xml</span><span class="delimiter">'</span></span>)
-==><span class="predefined-constant">null</span>
gremlin> g = graph.traversal().withoutStrategies(LazyBarrierStrategy) <span class="comment">//</span><b>(1)</b>
==>graphtraversalsource[tinkergraph[<span class="key">vertices</span>:<span class="integer">808</span> <span class="key">edges</span>:<span class="integer">8049</span>], standard]
gremlin> clockWithResult(<span class="integer">1</span>){g.V().both().both().both().count().next()} <span class="comment">//</span><b>(2)</b>
-==><span class="float">10845.820883999999</span>
+==><span class="float">10057.896386</span>
==><span class="integer">126653966</span>
gremlin> clockWithResult(<span class="integer">1</span>){g.V().repeat(both()).times(<span class="integer">3</span>).count().next()} <span class="comment">//</span><b>(3)</b>
-==><span class="float">20.426410999999998</span>
+==><span class="float">20.40533</span>
==><span class="integer">126653966</span>
gremlin> clockWithResult(<span class="integer">1</span>){g.V().both().barrier().both().barrier().both().barrier().count().next()} <span class="comment">//</span><b>(4)</b>
-==><span class="float">13.448696</span>
+==><span class="float">17.249624999999998</span>
==><span class="integer">126653966</span></code></pre>
</div>
</div>
@@ -4184,11 +4173,10 @@ optimization scenario with the added ben
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> graph = TinkerGraph.open()
==>tinkergraph[<span class="key">vertices</span>:<span class="integer">0</span> <span class="key">edges</span>:<span class="integer">0</span>]
gremlin> graph.io(graphml()).readGraph(<span class="string"><span class="delimiter">'</span><span class="content">data/grateful-dead.xml</span><span class="delimiter">'</span></span>)
-==><span class="predefined-constant">null</span>
gremlin> g = graph.traversal() <span class="comment">//</span><b>(1)</b>
==>graphtraversalsource[tinkergraph[<span class="key">vertices</span>:<span class="integer">808</span> <span class="key">edges</span>:<span class="integer">8049</span>], standard]
gremlin> clockWithResult(<span class="integer">1</span>){g.V().both().both().both().count().next()}
-==><span class="float">14.526589999999999</span>
+==><span class="float">15.295553</span>
==><span class="integer">126653966</span>
gremlin> g.V().both().both().both().count().iterate().toString() <span class="comment">//</span><b>(2)</b>
==>[TinkerGraphStep(vertex,<span class="type">[]</span>), VertexStep(BOTH,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(BOTH,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(BOTH,edge), CountGlobalStep]</code></pre>
@@ -4443,10 +4431,8 @@ gremlin> g.V().choose(hasLabel(<span
<div class="listingblock">
<div class="content">
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> g.V().coin(<span class="float">0.5</span>)
-==>v[<span class="integer">1</span>]
-==>v[<span class="integer">2</span>]
==>v[<span class="integer">3</span>]
-==>v[<span class="integer">6</span>]
+==>v[<span class="integer">5</span>]
gremlin> g.V().coin(<span class="float">0.0</span>)
gremlin> g.V().coin(<span class="float">1.0</span>)
==>v[<span class="integer">1</span>]
@@ -5264,7 +5250,6 @@ songs which Jerry Garcia has both sung a
<div class="listingblock">
<div class="content">
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> graph.io(graphml()).readGraph(<span class="string"><span class="delimiter">'</span><span class="content">data/grateful-dead.xml</span><span class="delimiter">'</span></span>)
-==><span class="predefined-constant">null</span>
gremlin> g = graph.traversal()
==>graphtraversalsource[tinkergraph[<span class="key">vertices</span>:<span class="integer">808</span> <span class="key">edges</span>:<span class="integer">8049</span>], standard]
gremlin> g.V().match(
@@ -5472,7 +5457,6 @@ optimizer within <code>match()</code>-st
__.as(<span class="string"><span class="delimiter">'</span><span class="content">b</span><span class="delimiter">'</span></span>).in(<span class="string"><span class="delimiter">'</span><span class="content">created</span><span class="delimiter">'</span></span>).as(<span class="string"><span class="delimiter">'</span><span class="content">c</span><span class="delimiter">'</span></span>)).
where(__.as(<span class="string"><span class="delimiter">'</span><span class="content">a</span><span class="delimiter">'</span></span>).out(<span class="string"><span class="delimiter">'</span><span class="content">knows</span><span class="delimiter">'</span></span>).as(<span class="string"><span class="delimiter">'</span><span class="content">c</span><span class="delimiter">'</span></span>)). <span class="comment">//</span><b>(2)</b>
select(<span class="string"><span class="delimiter">'</span><span class="content">a</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">c</span><span class="delimiter">'</span></span>).by(<span class="string"><span class="delimiter">'</span><span class="content">name</span><span class="delimiter">'</span></span>); <span class="predefined-constant">null</span> <span class="comment">//</span><b>(3)</b>
-==><span class="predefined-constant">null</span>
gremlin> traversal.toString() <span class="comment">//</span><b>(4)</b>
==>[GraphStep(vertex,<span class="type">[]</span>), MatchStep(AND,[[MatchStartStep(a), HasStep([~label.eq(person)]), MatchEndStep], [MatchStartStep(a), VertexStep(OUT,[created],vertex), MatchEndStep(b)], [MatchStartStep(b), VertexStep(IN,[created],vertex), MatchEndStep(c)]]), WhereTraversalStep([WhereStartStep(a), VertexStep(OUT,[knows],vertex), WhereEndStep(c)]), SelectStep([a, c],[value(name)])]
gremlin> traversal <span class="comment">// </span><b>(5)</b> <b>(6)</b>
@@ -5785,15 +5769,15 @@ gremlin> g.V().hasLabel(<span class="
<div class="listingblock">
<div class="content">
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> g.V().hasLabel(<span class="string"><span class="delimiter">'</span><span class="content">person</span><span class="delimiter">'</span></span>).order().by(shuffle)
+==>v[<span class="integer">2</span>]
==>v[<span class="integer">6</span>]
==>v[<span class="integer">1</span>]
-==>v[<span class="integer">2</span>]
==>v[<span class="integer">4</span>]
gremlin> g.V().hasLabel(<span class="string"><span class="delimiter">'</span><span class="content">person</span><span class="delimiter">'</span></span>).order().by(shuffle)
-==>v[<span class="integer">6</span>]
==>v[<span class="integer">2</span>]
-==>v[<span class="integer">4</span>]
-==>v[<span class="integer">1</span>]</code></pre>
+==>v[<span class="integer">1</span>]
+==>v[<span class="integer">6</span>]
+==>v[<span class="integer">4</span>]</code></pre>
</div>
</div>
<div class="paragraph">
@@ -5866,19 +5850,19 @@ The <code>pageRank()</code>-step is a <c
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> g = graph.traversal().withComputer()
==>graphtraversalsource[tinkergraph[<span class="key">vertices</span>:<span class="integer">6</span> <span class="key">edges</span>:<span class="integer">6</span>], graphcomputer]
gremlin> g.V().pageRank().by(<span class="string"><span class="delimiter">'</span><span class="content">pageRank</span><span class="delimiter">'</span></span>).values(<span class="string"><span class="delimiter">'</span><span class="content">pageRank</span><span class="delimiter">'</span></span>)
+==><span class="float">0.4018125</span>
==><span class="float">0.19250000000000003</span>
==><span class="float">0.19250000000000003</span>
==><span class="float">0.15000000000000002</span>
==><span class="float">0.15000000000000002</span>
-==><span class="float">0.4018125</span>
==><span class="float">0.23181250000000003</span>
gremlin> g.V().hasLabel(<span class="string"><span class="delimiter">'</span><span class="content">person</span><span class="delimiter">'</span></span>).
pageRank().
by(outE(<span class="string"><span class="delimiter">'</span><span class="content">knows</span><span class="delimiter">'</span></span>)).
by(<span class="string"><span class="delimiter">'</span><span class="content">friendRank</span><span class="delimiter">'</span></span>).
order().by(<span class="string"><span class="delimiter">'</span><span class="content">friendRank</span><span class="delimiter">'</span></span>,decr).valueMap(<span class="string"><span class="delimiter">'</span><span class="content">name</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">friendRank</span><span class="delimiter">'</span></span>)
-==>[<span class="key">friendRank</span>:[<span class="float">0.21375000000000002</span>],<span class="key">name</span>:[vadas]]
==>[<span class="key">friendRank</span>:[<span class="float">0.21375000000000002</span>],<span class="key">name</span>:[josh]]
+==>[<span class="key">friendRank</span>:[<span class="float">0.21375000000000002</span>],<span class="key">name</span>:[vadas]]
==>[<span class="key">friendRank</span>:[<span class="float">0.15000000000000002</span>],<span class="key">name</span>:[marko]]
==>[<span class="key">friendRank</span>:[<span class="float">0.15000000000000002</span>],<span class="key">name</span>:[peter]]</code></pre>
</div>
@@ -5896,49 +5880,49 @@ gremlin> g.V().hasLabel(<span class="
by(<span class="string"><span class="delimiter">'</span><span class="content">friendRank</span><span class="delimiter">'</span></span>).
order().by(<span class="string"><span class="delimiter">'</span><span class="content">friendRank</span><span class="delimiter">'</span></span>,decr).valueMap(<span class="string"><span class="delimiter">'</span><span class="content">name</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">friendRank</span><span class="delimiter">'</span></span>).explain()
==>Traversal Explanation
-===========================================================================================================================================================================================================================================
-Original Traversal [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), OrderGlobalStep([[value(friendRank), decr]]), PropertyMa
- pStep([name, friendRank],value)]
-
-ConnectiveStrategy [D] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), OrderGlobalStep([[value(friendRank), decr]]), PropertyMa
- pStep([name, friendRank],value)]
-VertexProgramStrategy [D] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-MatchPredicateStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-PathProcessorStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-RepeatUnrollStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-PathRetractionStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-FilterRankingStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-InlineFilterStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-IncidentToAdjacentStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-AdjacentToIncidentStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-RangeByIsCountStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-LazyBarrierStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-OrderLimitStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-TinkerGraphCountStrategy [P] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-TinkerGraphStepStrategy [P] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-ProfileStrategy [F] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-ComputerVerificationStrategy [V] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-StandardVerificationStrategy [V] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+=============================================================================================================================================================================================================================================
+Original Traversal [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), OrderGlobalStep([[value(friendRank), decr]]), PropertyMapS
+ tep([name, friendRank],value)]
+
+ConnectiveStrategy [D] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), OrderGlobalStep([[value(friendRank), decr]]), PropertyMapS
+ tep([name, friendRank],value)]
+VertexProgramStrategy [D] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+MatchPredicateStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+PathProcessorStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+RepeatUnrollStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+PathRetractionStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+FilterRankingStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+InlineFilterStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+IncidentToAdjacentStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+AdjacentToIncidentStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+RangeByIsCountStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+LazyBarrierStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+OrderLimitStrategy [O] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+TinkerGraphCountStrategy [P] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+TinkerGraphStepStrategy [P] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+ProfileStrategy [F] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+ComputerVerificationStrategy [V] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
+StandardVerificationStrategy [V] [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]
-Final Traversal [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), Traversa
- lVertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]</code></pre>
+Final Traversal [TraversalVertexProgramStep([GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)])],graphfilter[none]), PageRankVertexProgramStep([VertexStep(OUT,[knows],edge)],friendRank,<span class="integer">30</span>,graphfilter[none]), TraversalV
+ ertexProgramStep([OrderGlobalStep([[value(friendRank), decr]]), PropertyMapStep([name, friendRank],value)],graphfilter[none]), ComputerResultStep]</code></pre>
</div>
</div>
</div>
@@ -6090,7 +6074,7 @@ gremlin> g.V().peerPressure().by(<spa
gremlin> g.V().hasLabel(<span class="string"><span class="delimiter">'</span><span class="content">person</span><span class="delimiter">'</span></span>).
peerPressure().by(<span class="string"><span class="delimiter">'</span><span class="content">cluster</span><span class="delimiter">'</span></span>).
group().by(<span class="string"><span class="delimiter">'</span><span class="content">cluster</span><span class="delimiter">'</span></span>).by(<span class="string"><span class="delimiter">'</span><span class="content">name</span><span class="delimiter">'</span></span>)
-==>[<span class="integer">1</span>:[marko,vadas,josh],<span class="integer">6</span>:[peter]]</code></pre>
+==>[<span class="integer">1</span>:[marko,josh,vadas],<span class="integer">6</span>:[peter]]</code></pre>
</div>
</div>
</div>
@@ -6119,18 +6103,18 @@ profile results, but durations are not e
==>Traversal Metrics
Step Count Traversers <span class="predefined-type">Time</span> (ms) % Dur
=============================================================================================================
-TinkerGraphStep(vertex,<span class="type">[]</span>) <span class="integer">6</span> <span class="integer">6</span> <span class="float">0.078</span> <span class="float">7.26</span>
-VertexStep(OUT,[created],vertex) <span class="integer">4</span> <span class="integer">4</span> <span class="float">0.178</span> <span class="float">16.62</span>
-VertexStep(BOTH,vertex) <span class="integer">10</span> <span class="integer">10</span> <span class="float">0.100</span> <span class="float">9.31</span>
-NoOpBarrierStep(<span class="integer">2500</span>) <span class="integer">10</span> <span class="integer">3</span> <span class="float">0.095</span> <span class="float">8.87</span>
-VertexStep(BOTH,vertex) <span class="integer">24</span> <span class="integer">7</span> <span class="float">0.057</span> <span class="float">5.33</span>
-NoOpBarrierStep(<span class="integer">2500</span>) <span class="integer">24</span> <span class="integer">5</span> <span class="float">0.063</span> <span class="float">5.92</span>
-VertexStep(BOTH,vertex) <span class="integer">58</span> <span class="integer">11</span> <span class="float">0.079</span> <span class="float">7.42</span>
-NoOpBarrierStep(<span class="integer">2500</span>) <span class="integer">58</span> <span class="integer">6</span> <span class="float">0.205</span> <span class="float">19.13</span>
-HasStep([~label.eq(person)]) <span class="integer">48</span> <span class="integer">4</span> <span class="float">0.051</span> <span class="float">4.80</span>
-PropertiesStep([age],value) <span class="integer">48</span> <span class="integer">4</span> <span class="float">0.054</span> <span class="float">5.11</span>
-SumGlobalStep <span class="integer">1</span> <span class="integer">1</span> <span class="float">0.109</span> <span class="float">10.23</span>
- >TOTAL - - <span class="float">1.075</span> -</code></pre>
+TinkerGraphStep(vertex,<span class="type">[]</span>) <span class="integer">6</span> <span class="integer">6</span> <span class="float">0.076</span> <span class="float">12.03</span>
+VertexStep(OUT,[created],vertex) <span class="integer">4</span> <span class="integer">4</span> <span class="float">0.098</span> <span class="float">15.40</span>
+VertexStep(BOTH,vertex) <span class="integer">10</span> <span class="integer">10</span> <span class="float">0.064</span> <span class="float">10.02</span>
+NoOpBarrierStep(<span class="integer">2500</span>) <span class="integer">10</span> <span class="integer">3</span> <span class="float">0.058</span> <span class="float">9.08</span>
+VertexStep(BOTH,vertex) <span class="integer">24</span> <span class="integer">7</span> <span class="float">0.028</span> <span class="float">4.45</span>
+NoOpBarrierStep(<span class="integer">2500</span>) <span class="integer">24</span> <span class="integer">5</span> <span class="float">0.029</span> <span class="float">4.58</span>
+VertexStep(BOTH,vertex) <span class="integer">58</span> <span class="integer">11</span> <span class="float">0.038</span> <span class="float">6.02</span>
+NoOpBarrierStep(<span class="integer">2500</span>) <span class="integer">58</span> <span class="integer">6</span> <span class="float">0.067</span> <span class="float">10.48</span>
+HasStep([~label.eq(person)]) <span class="integer">48</span> <span class="integer">4</span> <span class="float">0.033</span> <span class="float">5.22</span>
+PropertiesStep([age],value) <span class="integer">48</span> <span class="integer">4</span> <span class="float">0.038</span> <span class="float">5.96</span>
+SumGlobalStep <span class="integer">1</span> <span class="integer">1</span> <span class="float">0.107</span> <span class="float">16.77</span>
+ >TOTAL - - <span class="float">0.639</span> -</code></pre>
</div>
</div>
<div class="paragraph">
@@ -6178,9 +6162,9 @@ gremlin> metrics = t.getSideEffects()
==>Traversal Metrics
Step Count Traversers <span class="predefined-type">Time</span> (ms) % Dur
=============================================================================================================
-TinkerGraphStep(vertex,<span class="type">[]</span>) <span class="integer">6</span> <span class="integer">6</span> <span class="float">0.079</span> -<span class="float">1144.30</span>
-VertexStep(OUT,[created],vertex) <span class="integer">4</span> <span class="integer">4</span> -<span class="float">0.086</span> <span class="float">1244.30</span>
- >TOTAL - - -<span class="float">0.006</span> -</code></pre>
+TinkerGraphStep(vertex,<span class="type">[]</span>) <span class="integer">6</span> <span class="integer">6</span> <span class="float">0.070</span> -<span class="float">257.94</span>
+VertexStep(OUT,[created],vertex) <span class="integer">4</span> <span class="integer">4</span> -<span class="float">0.097</span> <span class="float">357.94</span>
+ >TOTAL - - -<span class="float">0.027</span> -</code></pre>
</div>
</div>
<div class="paragraph">
@@ -6205,7 +6189,12 @@ the current state of the traverser.</p>
==>lop
==>lop
==>lop
-==>ripple</code></pre>
+==>ripple
+gremlin> g.V().has(<span class="string"><span class="delimiter">'</span><span class="content">name</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">marko</span><span class="delimiter">'</span></span>).
+ project(<span class="string"><span class="delimiter">'</span><span class="content">out</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">in</span><span class="delimiter">'</span></span>).
+ by(outE().count()).
+ by(inE().count())
+==>[<span class="key">out</span>:<span class="integer">3</span>,<span class="keyword">in</span>:<span class="integer">0</span>]</code></pre>
</div>
</div>
</div>
@@ -6601,14 +6590,14 @@ value is accessed (<code>sack()</code>).
==><span class="float">1.0</span>
==><span class="float">1.0</span>
gremlin> rand = <span class="keyword">new</span> <span class="predefined-type">Random</span>()
-==>java.util.Random<span class="error">@</span><span class="integer">5295</span>a774
+==>java.util.Random<span class="error">@</span><span class="integer">7320</span>bccc
gremlin> g.withSack {rand.nextFloat()}.V().sack()
-==><span class="float">0.9924713</span>
-==><span class="float">0.3433494</span>
-==><span class="float">0.43463868</span>
-==><span class="float">0.3005963</span>
-==><span class="float">0.6599379</span>
-==><span class="float">0.73584723</span></code></pre>
+==><span class="float">0.88565433</span>
+==><span class="float">0.32557082</span>
+==><span class="float">0.13471311</span>
+==><span class="float">0.3079176</span>
+==><span class="float">0.5479009</span>
+==><span class="float">0.68136716</span></code></pre>
</div>
</div>
<div class="paragraph">
@@ -6719,12 +6708,12 @@ gremlin> g.withBulk(<span class="pred
<div class="listingblock">
<div class="content">
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> g.V().outE().sample(<span class="integer">1</span>).values(<span class="string"><span class="delimiter">'</span><span class="content">weight</span><span class="delimiter">'</span></span>)
-==><span class="float">0.5</span>
+==><span class="float">0.4</span>
gremlin> g.V().outE().sample(<span class="integer">1</span>).by(<span class="string"><span class="delimiter">'</span><span class="content">weight</span><span class="delimiter">'</span></span>).values(<span class="string"><span class="delimiter">'</span><span class="content">weight</span><span class="delimiter">'</span></span>)
==><span class="float">0.5</span>
gremlin> g.V().outE().sample(<span class="integer">2</span>).by(<span class="string"><span class="delimiter">'</span><span class="content">weight</span><span class="delimiter">'</span></span>).values(<span class="string"><span class="delimiter">'</span><span class="content">weight</span><span class="delimiter">'</span></span>)
-==><span class="float">0.4</span>
-==><span class="float">1.0</span></code></pre>
+==><span class="float">1.0</span>
+==><span class="float">0.4</span></code></pre>
</div>
</div>
<div class="paragraph">
@@ -6739,15 +6728,15 @@ the traverser never splits and continues
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> g.V(<span class="integer">1</span>).repeat(local(
bothE().sample(<span class="integer">1</span>).by(<span class="string"><span class="delimiter">'</span><span class="content">weight</span><span class="delimiter">'</span></span>).otherV()
)).times(<span class="integer">5</span>)
-==>v[<span class="integer">4</span>]
+==>v[<span class="integer">3</span>]
gremlin> g.V(<span class="integer">1</span>).repeat(local(
bothE().sample(<span class="integer">1</span>).by(<span class="string"><span class="delimiter">'</span><span class="content">weight</span><span class="delimiter">'</span></span>).otherV()
)).times(<span class="integer">5</span>).path()
-==>[v[<span class="integer">1</span>],e[<span class="integer">9</span>][<span class="integer">1</span>-created-><span class="integer">3</span>],v[<span class="integer">3</span>],e[<span class="integer">9</span>][<span class="integer">1</span>-created-><span class="integer">3</span>],v[<span class="integer">1</span>],e[<span class="integer">7</span>][<span class="integer">1</span>-knows-><span class="integer">2</span>],v[<span class="integer">2</span>],e[<span class="integer">7</span>][<span class="integer">1</span>-knows-><span class="integer">2</span>],v[<span class="integer">1</span>],e[<span class="integer">9</span>][<span class="integer">1</span>-created-><span class="integer">3</span>],v[<span class="integer">3</span>]]
+==>[v[<span class="integer">1</span>],e[<span class="integer">8</span>][<span class="integer">1</span>-knows-><span class="integer">4</span>],v[<span class="integer">4</span>],e[<span class="integer">10</span>][<span class="integer">4</span>-created-><span class="integer">5</span>],v[<span class="integer">5</span>],e[<span class="integer">10</span>][<span class="integer">4</span>-created-><span class="integer">5</span>],v[<span class="integer">4</span>],e[<span class="integer">10</span>][<span class="integer">4</span>-created-><span class="integer">5</span>],v[<span class="integer">5</span>],e[<span class="integer">10</span>][<span class="integer">4</span>-created-><span class="integer">5</span>],v[<span class="integer">4</span>]]
gremlin> g.V(<span class="integer">1</span>).repeat(local(
bothE().sample(<span class="integer">1</span>).by(<span class="string"><span class="delimiter">'</span><span class="content">weight</span><span class="delimiter">'</span></span>).otherV()
)).times(<span class="integer">10</span>).path()
-==>[v[<span class="integer">1</span>],e[<span class="integer">8</span>][<span class="integer">1</span>-knows-><span class="integer">4</span>],v[<span class="integer">4</span>],e[<span class="integer">11</span>][<span class="integer">4</span>-created-><span class="integer">3</span>],v[<span class="integer">3</span>],e[<span class="integer">9</span>][<span class="integer">1</span>-created-><span class="integer">3</span>],v[<span class="integer">1</span>],e[<span class="integer">7</span>][<span class="integer">1</span>-knows-><span class="integer">2</span>],v[<span class="integer">2</span>],e[<span class="integer">7</span>][<span class="integer">1</span>-knows-><span class="integer">2</span>],v[<span class="integer">1</span>],e[<span class="integer">8</span>][<span class="integer">1</span>-knows-><span class="integer">4</span>],v[<span class="integer">4</span>],e[<span class="integer">8</span>][<span class="integer">1</span>-knows-><span class="integer">4</span>
],v[<span class="integer">1</span>],e[<span class="integer">7</span>][<span class="integer">1</span>-knows-><span class="integer">2</span>],v[<span class="integer">2</span>],e[<span class="integer">7</span>][<span class="integer">1</span>-knows-><span class="integer">2</span>],v[<span class="integer">1</span>],e[<span class="integer">8</span>][<span class="integer">1</span>-knows-><span class="integer">4</span>],v[<span class="integer">4</span>]]</code></pre>
+==>[v[<span class="integer">1</span>],e[<span class="integer">8</span>][<span class="integer">1</span>-knows-><span class="integer">4</span>],v[<span class="integer">4</span>],e[<span class="integer">11</span>][<span class="integer">4</span>-created-><span class="integer">3</span>],v[<span class="integer">3</span>],e[<span class="integer">9</span>][<span class="integer">1</span>-created-><span class="integer">3</span>],v[<span class="integer">1</span>],e[<span class="integer">8</span>][<span class="integer">1</span>-knows-><span class="integer">4</span>],v[<span class="integer">4</span>],e[<span class="integer">10</span>][<span class="integer">4</span>-created-><span class="integer">5</span>],v[<span class="integer">5</span>],e[<span class="integer">10</span>][<span class="integer">4</span>-created-><span class="integer">5</span>],v[<span class="integer">4</span>],e[<span class="integer">11</span>][<span class="integer">4</span>-created-><span class="integer"
>3</span>],v[<span class="integer">3</span>],e[<span class="integer">12</span>][<span class="integer">6</span>-created-><span class="integer">3</span>],v[<span class="integer">6</span>],e[<span class="integer">12</span>][<span class="integer">6</span>-created-><span class="integer">3</span>],v[<span class="integer">3</span>],e[<span class="integer">12</span>][<span class="integer">6</span>-created-><span class="integer">3</span>],v[<span class="integer">6</span>]]</code></pre>
</div>
</div>
</div>
@@ -6845,7 +6834,6 @@ ranking.</p>
<div class="listingblock">
<div class="content">
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> graph.io(graphml()).readGraph(<span class="string"><span class="delimiter">'</span><span class="content">data/grateful-dead.xml</span><span class="delimiter">'</span></span>)
-==><span class="predefined-constant">null</span>
gremlin> g = graph.traversal()
==>graphtraversalsource[tinkergraph[<span class="key">vertices</span>:<span class="integer">808</span> <span class="key">edges</span>:<span class="integer">8049</span>], standard]
gremlin> g.V().hasLabel(<span class="string"><span class="delimiter">'</span><span class="content">song</span><span class="delimiter">'</span></span>).out(<span class="string"><span class="delimiter">'</span><span class="content">followedBy</span><span class="delimiter">'</span></span>).groupCount().by(<span class="string"><span class="delimiter">'</span><span class="content">name</span><span class="delimiter">'</span></span>).
@@ -6869,7 +6857,6 @@ gremlin> g.V().hasLabel(<span class="
<div class="listingblock">
<div class="content">
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> graph.io(graphml()).readGraph(<span class="string"><span class="delimiter">'</span><span class="content">data/grateful-dead.xml</span><span class="delimiter">'</span></span>)
-==><span class="predefined-constant">null</span>
gremlin> g = graph.traversal()
==>graphtraversalsource[tinkergraph[<span class="key">vertices</span>:<span class="integer">808</span> <span class="key">edges</span>:<span class="integer">8049</span>], standard]
gremlin> g.V().hasLabel(<span class="string"><span class="delimiter">'</span><span class="content">song</span><span class="delimiter">'</span></span>).out(<span class="string"><span class="delimiter">'</span><span class="content">sungBy</span><span class="delimiter">'</span></span>).groupCount().by(<span class="string"><span class="delimiter">'</span><span class="content">name</span><span class="delimiter">'</span></span>) <span class="comment">//</span><b>(1)</b>
@@ -7258,7 +7245,7 @@ that can be used to time execution of a
==>v[<span class="integer">5</span>]=<span class="integer">1136688</span>
==>v[<span class="integer">6</span>]=<span class="integer">1136688</span>
gremlin> clock(<span class="integer">1</span>) {g.V().repeat(both().groupCount(<span class="string"><span class="delimiter">'</span><span class="content">m</span><span class="delimiter">'</span></span>)).times(<span class="integer">16</span>).cap(<span class="string"><span class="delimiter">'</span><span class="content">m</span><span class="delimiter">'</span></span>).order(local).by(values,decr).next()}
-==><span class="float">1.754899</span>
+==><span class="float">1.700046</span>
gremlin> g.V().repeat(timeLimit(<span class="integer">2</span>).both().groupCount(<span class="string"><span class="delimiter">'</span><span class="content">m</span><span class="delimiter">'</span></span>)).times(<span class="integer">16</span>).cap(<span class="string"><span class="delimiter">'</span><span class="content">m</span><span class="delimiter">'</span></span>).order(local).by(values,decr).next()
==>v[<span class="integer">1</span>]=<span class="integer">2744208</span>
==>v[<span class="integer">3</span>]=<span class="integer">2744208</span>
@@ -7267,7 +7254,7 @@ gremlin> g.V().repeat(timeLimit(<span
==>v[<span class="integer">5</span>]=<span class="integer">1136688</span>
==>v[<span class="integer">6</span>]=<span class="integer">1136688</span>
gremlin> clock(<span class="integer">1</span>) {g.V().repeat(timeLimit(<span class="integer">2</span>).both().groupCount(<span class="string"><span class="delimiter">'</span><span class="content">m</span><span class="delimiter">'</span></span>)).times(<span class="integer">16</span>).cap(<span class="string"><span class="delimiter">'</span><span class="content">m</span><span class="delimiter">'</span></span>).order(local).by(values,decr).next()}
-==><span class="float">1.916515</span></code></pre>
+==><span class="float">2.9760969999999998</span></code></pre>
</div>
</div>
<div class="paragraph">
@@ -8133,11 +8120,9 @@ to ensure the added step does not interf
<div class="listingblock">
<div class="content">
<pre class="CodeRay"><code class="groovy language-groovy">gremlin> t = g.V().has(<span class="string"><span class="delimiter">'</span><span class="content">name</span><span class="delimiter">'</span></span>,<span class="string"><span class="delimiter">'</span><span class="content">marko</span><span class="delimiter">'</span></span>); <span class="predefined-constant">null</span>
-==><span class="predefined-constant">null</span>
gremlin> t.toString()
==>[GraphStep(vertex,<span class="type">[]</span>), HasStep([name.eq(marko)])]
gremlin> t.iterate(); <span class="predefined-constant">null</span>
-==><span class="predefined-constant">null</span>
gremlin> t.toString()
==>[TinkerGraphStep(vertex,[name.eq(marko)])]</code></pre>
</div>
@@ -8179,64 +8164,64 @@ incorrect semantics.
by(out().count()). <span class="comment">//</span><b>(9)</b>
explain()
==>Traversal Explanation
-==============================================================================================================================================================================================================================================
-Original Traversal [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), Matc
- hStep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), RepeatStep([VertexStep(OUT,edge), EdgeVertexStep(IN), RepeatEndStep],until(loops(<span class="integer">2</span>)),emit(<span class="predefined-constant">false</span>)), MatchEndStep
- (b)]]), WherePredicateStep(a,neq(b)), WhereTraversalStep([WhereStartStep(b), VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountG
- lobalStep])]
-
-ConnectiveStrategy [D] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), Matc
- hStep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), RepeatStep([VertexStep(OUT,edge), EdgeVertexStep(IN), RepeatEndStep],until(loops(<span class="integer">2</span>)),emit(<span class="predefined-constant">false</span>)), MatchEndStep
- (b)]]), WherePredicateStep(a,neq(b)), WhereTraversalStep([WhereStartStep(b), VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountG
- lobalStep])]
-MatchPredicateStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), Matc
- hStep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), RepeatStep([VertexStep(OUT,edge), EdgeVertexStep(IN), RepeatEndStep],until(loops(<span class="integer">2</span>)),emit(<span class="predefined-constant">false</span>)), MatchEndStep
- (b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]),
- SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
-RepeatUnrollStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), Matc
- hStep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOp
- BarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, Is
- Step(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
-PathRetractionStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), Matc
- hStep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOp
- BarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, Is
- Step(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
-FilterRankingStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), Matc
- hStep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOp
- BarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, Is
- Step(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
-InlineFilterStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],value)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), Vert
- exStep(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEnd
- Step], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), Cou
- ntGlobalStep])]
-IncidentToAdjacentStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],value)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), Vert
- exStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTrav
- ersalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
-AdjacentToIncidentStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],property)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), V
- ertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereT
- raversalStep([WhereStartStep, VertexStep(BOTH,edge), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,edge), CountGlobalStep])]
-RangeByIsCountStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],property)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), V
- ertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereT
- raversalStep([WhereStartStep, VertexStep(BOTH,edge), RangeGlobalStep(<span class="integer">0</span>,<span class="integer">2</span>), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,edge), CountGlobalStep])]
-LazyBarrierStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],property)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), V
- ertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereT
- raversalStep([WhereStartStep, VertexStep(BOTH,edge), RangeGlobalStep(<span class="integer">0</span>,<span class="integer">2</span>), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,edge), CountGlobalStep])]
-TinkerGraphCountStrategy [P] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],property)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), V
- ertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereT
- raversalStep([WhereStartStep, VertexStep(BOTH,edge), RangeGlobalStep(<span class="integer">0</span>,<span class="integer">2</span>), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,edge), CountGlobalStep])]
-TinkerGraphStepStrategy [P] [TinkerGraphStep(vertex,[~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],property)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), VertexSt
- ep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversa
- lStep([WhereStartStep, VertexStep(BOTH,edge), RangeGlobalStep(<span class="integer">0</span>,<span class="integer">2</span>), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,edge), CountGlobalStep])]
-ProfileStrategy [F] [TinkerGraphStep(vertex,[~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],property)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), VertexSt
- ep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversa
- lStep([WhereStartStep, VertexStep(BOTH,edge), RangeGlobalStep(<span class="integer">0</span>,<span class="integer">2</span>), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,edge), CountGlobalStep])]
-StandardVerificationStrategy [V] [TinkerGraphStep(vertex,[~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],property)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), VertexSt
- ep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversa
- lStep([WhereStartStep, VertexStep(BOTH,edge), RangeGlobalStep(<span class="integer">0</span>,<span class="integer">2</span>), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,edge), CountGlobalStep])]
-
-Final Traversal [TinkerGraphStep(vertex,[~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],property)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), VertexSt
- ep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversa
- lStep([WhereStartStep, VertexStep(BOTH,edge), RangeGlobalStep(<span class="integer">0</span>,<span class="integer">2</span>), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,edge), CountGlobalStep])]</code></pre>
+================================================================================================================================================================================================================================================
+Original Traversal [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), MatchS
+ tep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), RepeatStep([VertexStep(OUT,edge), EdgeVertexStep(IN), RepeatEndStep],until(loops(<span class="integer">2</span>)),emit(<span class="predefined-constant">false</span>)), MatchEndStep(b)]
+ ]), WherePredicateStep(a,neq(b)), WhereTraversalStep([WhereStartStep(b), VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalS
+ tep])]
+
+ConnectiveStrategy [D] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), MatchS
+ tep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), RepeatStep([VertexStep(OUT,edge), EdgeVertexStep(IN), RepeatEndStep],until(loops(<span class="integer">2</span>)),emit(<span class="predefined-constant">false</span>)), MatchEndStep(b)]
+ ]), WherePredicateStep(a,neq(b)), WhereTraversalStep([WhereStartStep(b), VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalS
+ tep])]
+MatchPredicateStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), MatchS
+ tep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), RepeatStep([VertexStep(OUT,edge), EdgeVertexStep(IN), RepeatEndStep],until(loops(<span class="integer">2</span>)),emit(<span class="predefined-constant">false</span>)), MatchEndStep(b)]
+ , [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), Selec
+ tOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
+RepeatUnrollStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), MatchS
+ tep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarr
+ ierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, IsStep(g
+ t(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
+PathRetractionStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), MatchS
+ tep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarr
+ ierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, IsStep(g
+ t(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
+FilterRankingStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), AndStep([[TraversalFilterStep([PropertiesStep([name],value)])], [HasStep([name.eq(marko)])], [TraversalFilterStep([HasStep([age.gt(<span class="integer">20</span>)])])]]), MatchS
+ tep(AND,[[MatchStartStep(a), HasStep([age.lt(<span class="integer">32</span>)]), MatchEndStep], [MatchStartStep(a), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarr
+ ierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, IsStep(g
+ t(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
+InlineFilterStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],value)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), Vertex
+ Step(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,edge), EdgeVertexStep(IN), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep
+ ], [MatchStartStep(b), WhereTraversalStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlob
+ alStep])]
+IncidentToAdjacentStrategy [O] [GraphStep(vertex,<span class="type">[]</span>), HasStep([~label.eq(person)]), TraversalFilterStep([PropertiesStep([name],value)]), HasStep([name.eq(marko), age.gt(<span class="integer">20</span>), age.lt(<span class="integer">32</span>)])<span class="error">@</span>[a], MatchStep(AND,[[MatchStartStep(a), Vertex
+ Step(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), VertexStep(OUT,vertex), NoOpBarrierStep(<span class="integer">2500</span>), MatchEndStep(b)], [MatchStartStep(a), WherePredicateStep(neq(b)), MatchEndStep], [MatchStartStep(b), WhereTraversa
+ lStep([WhereStartStep, VertexStep(BOTH,vertex), CountGlobalStep, IsStep(gt(<span class="integer">1</span>))]), MatchEndStep]]), SelectOneStep(b), GroupCountStep([VertexStep(OUT,vertex), CountGlobalStep])]
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