[
https://issues.apache.org/jira/browse/TINKERPOP3-319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Daniel Kuppitz updated TINKERPOP3-319:
--------------------------------------
Fix Version/s: (was: 3.1.0-incubating)
3.0.1-incubating
> BulkLoaderVertexProgram in TP3 (proposal)
> -----------------------------------------
>
> Key: TINKERPOP3-319
> URL: https://issues.apache.org/jira/browse/TINKERPOP3-319
> Project: TinkerPop 3
> Issue Type: Improvement
> Components: process
> Affects Versions: 3.0.0-incubating
> Reporter: Marko A. Rodriguez
> Assignee: Daniel Kuppitz
> Fix For: 3.0.1-incubating
>
>
> After working on {{BulkLoaderVertexProgram}} for Titan, it is trivial to add
> this generally to TinkerPop -- equivalent to BlueprintsOutputFormat (or
> whatever the bulk loader was known that was blueprints specific). However,
> given that Titan and TinkerPop have the same data model, Titan having its own
> {{BulkLoaderVertexProgram}} isn't necessary as there is no longer a data
> model alignment issue. The difference would be that instead of:
> {code:groovy}
> g.V.compute().program(BulkLoaderVertexProgram.build().titan(propertiesFile).create()).submit()
> {code}
> It would simply be:
> {code:groovy}
> g.V.compute().program(BulkLoaderVertexProgram.build().factory(propertiesFile).create()).submit()
> {code}
> ...and {{BulkLoaderVertexProgram}} would use {{GraphFactory.open()}} to
> instantiate the connection to the graph. Moreover, (and [~spmallette] will
> need to clear my head here), if the factory opened up a Gremlin Server
> connection, then we get parallel writing to embedded graph databases like
> Neo4j.
> {{BulkLoaderVertexProgram}} is simply a vertex program that parallel loads a
> graph (with a graph computer) to any other graph that can be accessed via
> {{GraphFactory}} (which is every TP3 graph).
> [~dalaro] @mbroecheler [~dkuppitz]
> EXTENDED NOTES:
> * {{SchemaInference}} would be a MapReduce job executed prior to
> {{BulkLoaderVertexProgram}}
> * Titan and Neo4j can each have their own {{SchemaInference}} implementations.
> * Incremental loading .... I forget how this worked.
> * Bulk mutations ... this is possible at the TP3 level with hidden properties
> and smart add/remove/etc.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)