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https://issues.apache.org/jira/browse/TINKERPOP-1702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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stephen mallette closed TINKERPOP-1702.
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Resolution: Won't Do
yeah - that's long gone. in general, massive batch loads (say millions of
things) should be done with OLAP -
http://tinkerpop.apache.org/docs/current/reference/#hadoop-gremlin and anything
less is probably best done with a groovy script. If you want to do it from
python i would just write a parameterized script like:
{code}
data.each {
g.addV('name', it.name, 'age', it.age).iterate()
}
{code}
where "data" is a parameter you pass with the script. "data" is just a
{{List<Map>}} and the number of maps represents your batch size. Use
sessionless requests so that Gremlin Server auto-commits. If you have further
follow up questions, please ask them on the gremlin-users mailing list - thanks.
> BatchGraph support in Python
> ----------------------------
>
> Key: TINKERPOP-1702
> URL: https://issues.apache.org/jira/browse/TINKERPOP-1702
> Project: TinkerPop
> Issue Type: Improvement
> Components: driver
> Reporter: Victor Genin
>
> Currently there is no support of BatchGraph in python driver, or at least so
> it seems
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