在hadoop gremlin raise中使用OneTimeBulkLoader的janusgraph；图形不支持添加顶点"；

我的目标： 使用SparkGraphComputer将本地数据批量加载到janusgraph，然后在hbase和ES上构建混合索引

我的问题：

Caused by: java.lang.UnsupportedOperationException: Graph does not support adding vertices
    at org.apache.tinkerpop.gremlin.structure.Graph$Exceptions.vertexAdditionsNotSupported(Graph.java:1133)
    at org.apache.tinkerpop.gremlin.hadoop.structure.HadoopGraph.addVertex(HadoopGraph.java:187)
    at org.apache.tinkerpop.gremlin.process.traversal.step.map.AddVertexStartStep.processNextStart(AddVertexStartStep.java:91)
    at org.apache.tinkerpop.gremlin.process.traversal.step.util.AbstractStep.next(AbstractStep.java:128)
    at org.apache.tinkerpop.gremlin.process.traversal.step.util.AbstractStep.next(AbstractStep.java:38)
    at org.apache.tinkerpop.gremlin.process.traversal.util.DefaultTraversal.next(DefaultTraversal.java:200)
    at org.apache.tinkerpop.gremlin.process.computer.bulkloading.OneTimeBulkLoader.getOrCreateVertex(OneTimeBulkLoader.java:49)
    at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram.executeInternal(BulkLoaderVertexProgram.java:210)
    at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram.execute(BulkLoaderVertexProgram.java:197)
    at org.apache.tinkerpop.gremlin.spark.process.computer.SparkExecutor.lambda$null$4(SparkExecutor.java:118)
    at org.apache.tinkerpop.gremlin.util.iterator.IteratorUtils$3.next(IteratorUtils.java:247)
    at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:43)
    at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:462)
    at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439)
    at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:191)
    at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
    at org.apache.spark.scheduler.Task.run(Task.scala:108)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
    ... 3 more

依赖项：

janusgraph-all-0.3.1 janusgraph-es-0.3.1 hadoop-gremlin-3.3.3

以下是配置：

janusgraph-hbase-es.properties

storage.backend=hbase
gremlin.graph=XXX.XXX.XXX.gremlin.hadoop.structure.HadoopGraph
storage.hostname=<ip>
storage.hbase.table=hadoop-test-3
storage.batch-loading=true
schema.default = none
cache.db-cache = true
cache.db-cache-clean-wait = 20
cache.db-cache-time = 180000
cache.db-cache-size = 0.5
index.search.backend=elasticsearch
index.search.hostname=<ip>
index.search.index-name=hadoop_test_3

gremlin.graph=org.apache.tinkerpop.gremlin.hadoop.structure.HadoopGraph
gremlin.hadoop.graphReader=org.apache.tinkerpop.gremlin.hadoop.structure.io.graphson.GraphSONInputFormat
gremlin.hadoop.graphWriter=org.apache.tinkerpop.gremlin.hadoop.structure.io.graphson.GraphSONOutputFormat
gremlin.hadoop.inputLocation=data/tinkerpop-modern.json
gremlin.hadoop.outputLocation=output
gremlin.hadoop.jarsInDistributedCache=true

giraph.minWorkers=2
giraph.maxWorkers=2
giraph.useOutOfCoreGraph=true
giraph.useOutOfCoreMessages=true
mapred.map.child.java.opts=-Xmx1024m
mapred.reduce.child.java.opts=-Xmx1024m
giraph.numInputThreads=4
giraph.numComputeThreads=4
giraph.maxMessagesInMemory=100000

spark.master=local[*]
spark.serializer=org.apache.spark.serializer.KryoSerializer

schema.groovy

def defineGratefulDeadSchema(janusGraph) {
    JanusGraphManagement m = janusGraph.openManagement()
    VertexLabel person = m.makeVertexLabel("person").make()
    //使用IncrementBulkLoader导入时，去掉下面注释         
    //blid=m.makePropertyKey("bulkLoader.vertex.id")
      .dataType(Long.class).make()
    PropertyKey birth = 
      m.makePropertyKey("birth").dataType(Date.class).make()
    PropertyKey age = 
      m.makePropertyKey("age").dataType(Integer.class).make()
    PropertyKey name = 
      m.makePropertyKey("name").dataType(String.class).make()
    //index 
    //JanusGraphIndex index = m
      .buildIndex("nameCompositeIndex", 
      Vertex.class).addKey(name).unique().buildCompositeIndex()
    JanusGraphIndex index = m.buildIndex("mixedIndex", 
      Vertex.class).addKey(name).buildMixedIndex("search")
      //不支持唯一性检查，search为index.search.backend中的search
    //使用IncrementBulkLoader导入时，去掉下面注释
    //bidIndex = m.buildIndex("byBulkLoaderVertexId",     
      Vertex.class).addKey(blid).indexOnly(person)
      .buildCompositeIndex()
    m.commit()
}

相关代码

JanusGraph janusGraph = JanusGraphFactory.open
  ("config/janusgraph-hbase-es.properties");
JanusgraphSchema janusgraphSchema = new JanusgraphSchema();
janusgraphSchema.defineGratefulDeadSchema(janusGraph);
janusGraph.close();

Graph graph = GraphFactory.open("config/hadoop-
  graphson.properties");
BulkLoaderVertexProgram blvp = BulkLoaderVertexProgram.
  build().bulkLoader(OneTimeBulkLoader.class).
  writeGraph("config/janusgraph-hbase-es.properties").
  create(graph);
graph.compute(SparkGraphComputer.class).program(blvp).
  submit().get();
graph.close();

JanusGraph janusGraph1 = JanusGraphFactory.open
  ("config/janusgraph-hbase-es.properties");
List<Map<String, Object>> list = janusGraph1.traversal().V().
  valueMap().toList();
System.out.println("size: " + list.size());
janusGraph1.close();

---

在我用默认值gremlin.graph=org.janusgraph.core.JanusGraphFactory重置gremlin.graph后，上述错误不会出现。

在我用默认值gremlin.graph=org.janusgraph.core.JanusGraphFactory重置gremlin.graph后，上述错误不会出现

data success to import hbase, but fail to build index in ES