hadoop-gremlin中带有OneTimeBulkLoader的janusgraph引发“图形不支持添加顶点”

Question

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：

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

以下是配置：

1. 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 

2. hadoop-graphson.properties

    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 

3. 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() } 

4. 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(); 

结果：

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

Answer 1

在将默认值为gremlin.graph = org.janusgraph.core.JanusGraphFactory的gremlin.graph重置后，不会出现上述错误。