Hadoop-gremlin批量導(dǎo)入出現(xiàn)java.util.NoSuchElementException

場(chǎng)景：在gremlin終端中通過(guò)Hadoop-gremlin批量導(dǎo)入生成json，

graph = GraphFactory.open('data/zl/hadoop-load-company-modern.properties')
blvp = BulkLoaderVertexProgram.build().bulkLoader(OneTimeBulkLoader).writeGraph('data/zl/company-hbase-es.properties').create(graph)
graph.compute(SparkGraphComputer).program(blvp).submit().get()

出現(xiàn)了如下錯(cuò)誤：

Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 5.0 failed 1 times, most recent failure: Lost task 0.0 in stage 5.0 (TID 3, localhost): java.util.NoSuchElementException
        at org.apache.tinkerpop.gremlin.process.traversal.util.DefaultTraversal.next(DefaultTraversal.java:204)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoader.getVertexById(BulkLoader.java:116)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram.lambda$executeInternal$4(BulkLoaderVertexProgram.java:251)
        at java.util.Iterator.forEachRemaining(Unknown Source)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram.executeInternal(BulkLoaderVertexProgram.java:249)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram.execute(BulkLoaderVertexProgram.java:197)
        at org.apache.tinkerpop.gremlin.spark.process.computer.SparkExecutor.lambda$null$5(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$12.hasNext(Iterator.scala:439)
        at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:189)
        at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:64)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
        at java.lang.Thread.run(Unknown Source)

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
        at scala.Option.foreach(Option.scala:257)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
        at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:920)
        at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:918)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
        at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:918)
        at org.apache.spark.api.java.JavaRDDLike$class.foreachPartition(JavaRDDLike.scala:225)
        at org.apache.spark.api.java.AbstractJavaRDDLike.foreachPartition(JavaRDDLike.scala:46)
        at org.apache.tinkerpop.gremlin.spark.process.computer.SparkExecutor.executeVertexProgramIteration(SparkExecutor.java:179)
        at org.apache.tinkerpop.gremlin.spark.process.computer.SparkGraphComputer.lambda$submitWithExecutor$0(SparkGraphComputer.java:279)
        at java.util.concurrent.FutureTask.run(Unknown Source)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
        at java.lang.Thread.run(Unknown Source)
Caused by: java.util.NoSuchElementException
        at org.apache.tinkerpop.gremlin.process.traversal.util.DefaultTraversal.next(DefaultTraversal.java:204)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoader.getVertexById(BulkLoader.java:116)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram.lambda$executeInternal$4(BulkLoaderVertexProgram.java:251)
        at java.util.Iterator.forEachRemaining(Unknown Source)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram.executeInternal(BulkLoaderVertexProgram.java:249)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram.execute(BulkLoaderVertexProgram.java:197)
        at org.apache.tinkerpop.gremlin.spark.process.computer.SparkExecutor.lambda$null$5(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$12.hasNext(Iterator.scala:439)
        at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:189)
        at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:64)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
        ... 3 more

  • 問(wèn)題是java.util.NoSuchElementException，但是這個(gè)問(wèn)題很不明確，我想知道更具體的錯(cuò)誤，比如是json文件中的那條記錄產(chǎn)生了這個(gè)影響等。

  • 解決：讓其打印更詳細(xì)的信息

  • 由上面錯(cuò)誤知道在調(diào)用at org.apache.tinkerpop.gremlin.process.traversal.util.DefaultTraversal.next方法時(shí)出現(xiàn)了NoSuchElementException異常

  • 經(jīng)過(guò)查詢(xún)知道org.apache.tinkerpop.gremlin.process.traversal.util.DefaultTraversal是gremlin-core-x.x.x.jar包中的類(lèi)。

  • 通過(guò)修改gremlin-core-xxx模塊，在合適的方法處讓其打印更詳細(xì)的日志信息。

  • gremlin-core是tinkerpop項(xiàng)目中的一個(gè)模塊，所以git clone https://github.com/apache/tinkerpop.git 修改gremlin-core模塊，讓其打印更詳細(xì)信息。

  • 最后將編譯好的gremlin-core-x.x.x.jar替換掉janusgraph-0.2.0-hadoop2\lib目錄中的版本

  • 最后錯(cuò)誤如下，讓其打印出了頂點(diǎn)id邊等信息，

  16:13:27 ERROR org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram  - ???????:sourceVertex=v[eefbad45-a079-4883-b936-42817618f094]edge=e[e4d13af5-ff29-4646-a06d-9ee20cfe8f8e][eefbad45-a079-4883-b936-42817618f094-class_staff_2_staff->82e1e894-3abc-41e5-ba16-7bba53a7df67]
16:13:27 ERROR org.apache.spark.executor.Executor  - Managed memory leak detected; size = 5309058 bytes, TID = 3
16:13:27 ERROR org.apache.spark.executor.Executor  - Exception in task 0.0 in stage 5.0 (TID 3)
java.util.NoSuchElementException
        at org.apache.tinkerpop.gremlin.process.traversal.util.DefaultTraversal.next(DefaultTraversal.java:204)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoader.getVertexById(BulkLoader.java:116)
        at org.apache.tinkerpop.gremlin.process.computer.bulkloading.BulkLoaderVertexProgram.lambda$executeInternal$4(BulkLoaderVertexProgram.java:255)
        at java.util.Iterator.forEachRemaining(Unknown Source)
  • 經(jīng)查看json文件，82e1e894-3abc-41e5-ba16-7bba53a7df67頂點(diǎn)的json數(shù)據(jù)和前一條數(shù)據(jù)并排放了，而導(dǎo)入的json文件中的json數(shù)據(jù)必須是一個(gè)頂點(diǎn)數(shù)據(jù)的json占一行。

結(jié)論

  • json文件數(shù)據(jù)格式有誤產(chǎn)生的，一個(gè)頂點(diǎn)的json數(shù)據(jù)應(yīng)該占用一行，而不是并排放置。）
  • 最后產(chǎn)生錯(cuò)誤的原因很簡(jiǎn)單，但是找錯(cuò)卻比較費(fèi)事，其實(shí)針對(duì)上面這個(gè)問(wèn)題，在知道json格式應(yīng)該是單行顯示情況下，通過(guò)上面的錯(cuò)誤提示，采用小黃鴨調(diào)試法應(yīng)該就能找出原因的，但是，桌子上沒(méi)有小黃鴨?。。?/li>
最后編輯于 ：
?著作權(quán)歸作者所有,轉(zhuǎn)載或內(nèi)容合作請(qǐng)聯(lián)系作者
【社區(qū)內(nèi)容提示】社區(qū)部分內(nèi)容疑似由AI輔助生成，瀏覽時(shí)請(qǐng)結(jié)合常識(shí)與多方信息審慎甄別。
平臺(tái)聲明：文章內(nèi)容（如有圖片或視頻亦包括在內(nèi)）由作者上傳并發(fā)布，文章內(nèi)容僅代表作者本人觀(guān)點(diǎn)，簡(jiǎn)書(shū)系信息發(fā)布平臺(tái)，僅提供信息存儲(chǔ)服務(wù)。

相關(guān)閱讀更多精彩內(nèi)容

  • Spring Cloud為開(kāi)發(fā)人員提供了快速構(gòu)建分布式系統(tǒng)中一些常見(jiàn)模式的工具（例如配置管理，服務(wù)發(fā)現(xiàn)，斷路器，智...
    卡卡羅2017閱讀 136,711評(píng)論 19贊 139
  • 1. Java基礎(chǔ)部分 基礎(chǔ)部分的順序：基本語(yǔ)法，類(lèi)相關(guān)的語(yǔ)法，內(nèi)部類(lèi)的語(yǔ)法，繼承相關(guān)的語(yǔ)法，異常的語(yǔ)法，線(xiàn)程的語(yǔ)...
    子非魚(yú)_t_閱讀 34,869評(píng)論 18贊 399
  • Spring Boot 參考指南 介紹 轉(zhuǎn)載自:https://www.gitbook.com/book/qbgb...
    毛宇鵬閱讀 47,290評(píng)論 6贊 342
  • //Clojure入門(mén)教程: Clojure – Functional Programming for the J...
    葡萄喃喃囈語(yǔ)閱讀 4,081評(píng)論 0贊 7

友情鏈接更多精彩內(nèi)容