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https://issues.apache.org/jira/browse/TINKERPOP3-957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ted Wilmes updated TINKERPOP3-957:
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Attachment: addVBaseline.svg
Attaching this baseline performance flamegraph for documentation purposes. It
was generated while running 100,000 inserts using addV.
{code:java}
testAddV = { num -> graph = TinkerGraph.open(); g = graph.traversal(); for (i =
0; i < num; i++) { g.addV(id, i).next() } }
{code}
Review of this and yourkit output highlights a number of areas that can be
updated without making any structural changes to the code. In particular,
strategy application and retrieval of traversal requirements appear to be
taking a large percentage of the time. A good chunk of this appears to be due
to repeated initialization and processing of Java streams. I'll address these
and a few other areas in a PR shortly and see what you guys think.
> Improve speed of addV()
> -----------------------
>
> Key: TINKERPOP3-957
> URL: https://issues.apache.org/jira/browse/TINKERPOP3-957
> Project: TinkerPop 3
> Issue Type: Improvement
> Components: process
> Affects Versions: 3.0.2-incubating
> Reporter: stephen mallette
> Assignee: Marko A. Rodriguez
> Fix For: 3.1.1-incubating
>
> Attachments: addVBaseline.svg
>
>
> The performance gap between {{GraphTraversalSource.addV()}} and
> {{Graph.addVertex()}} is fairly wide:
> {code}
> gremlin> testAddV = { num -> graph = TinkerGraph.open(); g =
> graph.traversal(); for (i = 0; i < num; i++) { g.addV(id, i).next() } }
> ==>groovysh_evaluate$_run_closure1@30b9eadd
> gremlin> testAddVertex = { num -> graph = TinkerGraph.open(); for (i = 0; i
> < num; i++) { graph.addVertex(id, i) } }
> ==>groovysh_evaluate$_run_closure1@2e647e59
> gremlin> clock {testAddV(100000)}
> ==>462.04376528
> gremlin> clock {testAddVertex(100000)}
> ==>70.90365949999999
> {code}
> Try to make some improvements there. Perhaps this work should also extend to
> {{addE/addEdge}} as well.
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