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https://issues.apache.org/jira/browse/TINKERPOP3-1015?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15036535#comment-15036535
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Marko A. Rodriguez edited comment on TINKERPOP3-1015 at 12/2/15 8:23 PM:
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Would people be interested in this feature? It would allow you to, for example,
use Spark with Neo4j. Also, another thing we could do to make this efficient is:
{code}
List<Iterator<Vertex>> Graph.vertexSplits(int numberOfSplits)
{code}
Then each graph provider can specify how to do parallel reads. The default
implementation would be:
{code}
List<Iterator<Vertex>> splits = new ArrayList<>(numberOfSplits);
list.add(this.vertices());
return splits;
{code}
was (Author: okram):
Would people be interested in this feature? It would allow you to, for example,
use Spark with Neo4j. Also, another thing we could do to make this efficient is:
List<Iterator<Vertex>> Graph.vertexSplits(int numberOfSplits)
Then each graph provider can specify how to do parallel reads. The default
implementation would be:
List<Iterator<Vertex>> splits = new ArrayList<>(numberOfSplits);
list.add(this.vertices());
return splits;
> InputRDD and InputFormat to load into HadoopGraph from any Graph System
> -----------------------------------------------------------------------
>
> Key: TINKERPOP3-1015
> URL: https://issues.apache.org/jira/browse/TINKERPOP3-1015
> Project: TinkerPop 3
> Issue Type: Improvement
> Components: hadoop
> Affects Versions: 3.1.0-incubating
> Reporter: Marko A. Rodriguez
>
> I just recently added {{ToyGraphInputRDD}} to test InputRDD stuff against the
> full test suite. Check out it works:
> {code}
> public final class ToyGraphInputRDD implements InputRDD {
> public static final String GREMLIN_SPARK_TOY_GRAPH =
> "gremlin.spark.toyGraph";
> @Override
> public JavaPairRDD<Object, VertexWritable> readGraphRDD(final
> Configuration configuration, final JavaSparkContext sparkContext) {
> final List<Vertex> vertices;
> if
> (configuration.getProperty(GREMLIN_SPARK_TOY_GRAPH).equals(LoadGraphWith.GraphData.MODERN.toString()))
> vertices =
> IteratorUtils.list(TinkerFactory.createModern().vertices());
> else if
> (configuration.getProperty(GREMLIN_SPARK_TOY_GRAPH).equals(LoadGraphWith.GraphData.CLASSIC.toString()))
> vertices =
> IteratorUtils.list(TinkerFactory.createClassic().vertices());
> else if
> (configuration.getProperty(GREMLIN_SPARK_TOY_GRAPH).equals(LoadGraphWith.GraphData.CREW.toString()))
> vertices =
> IteratorUtils.list(TinkerFactory.createTheCrew().vertices());
> else if
> (configuration.getProperty(GREMLIN_SPARK_TOY_GRAPH).equals(LoadGraphWith.GraphData.GRATEFUL.toString()))
> {
> try {
> final Graph graph = TinkerGraph.open();
>
> graph.io(GryoIo.build()).readGraph(GryoResourceAccess.class.getResource("grateful-dead.kryo").getFile());
> vertices = IteratorUtils.list(graph.vertices());
> } catch (final IOException e) {
> throw new IllegalStateException(e.getMessage(), e);
> }
> } else
> throw new IllegalArgumentException("No legal toy graph was
> provided to load: " + configuration.getProperty(GREMLIN_SPARK_TOY_GRAPH));
> return
> sparkContext.parallelize(vertices.stream().map(VertexWritable::new).collect(Collectors.toList())).mapToPair(vertex
> -> new Tuple2<>(vertex.get().id(), vertex));
> }
> }
> {code}
> In principle, we could have a {{DefaultInputRDD}} and {{DefaultInputFormat}}
> that do this:
> {code}
> public final class DefaultInputRDD implements InputRDD {
> @Override
> public JavaPairRDD<Object, VertexWritable> readGraphRDD(final
> Configuration configuration, final JavaSparkContext sparkContext) {
> Graph graph = GraphFactory.open(configuration);
> return
> sparkContext.parallelize(graph.vertices().stream().map(VertexWritable::new).collect(Collectors.toList())).mapToPair(vertex
> -> new Tuple2<>(vertex.get().id(), vertex));
> }
> }
> {code}
> It would be a serial/single-threaded load, but it would allow any OLTP graph
> system to use Spark/Giraph/etc.
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