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使用 spark-submit 运行 spark 程序时出现以下错误。

我的 spark-cluster 是 2.0.0 版本，我使用 sbt 编译我的代码，下面是我的 sbt 依赖项。

libraryDependencies ++= Seq(
  "commons-io" % "commons-io" % "2.4",
  "com.google.guava" % "guava" % "19.0",
  "jfree" % "jfreechart" % "1.0.13",
  ("org.deeplearning4j" % "deeplearning4j-core" % "0.5.0").exclude("org.slf4j", "slf4j-log4j12"),
  "org.jblas" % "jblas" % "1.2.4",
  "org.nd4j" % "canova-nd4j-codec" % "0.0.0.15",
  "org.nd4j" % "nd4j-native" % "0.5.0" classifier "" classifier "linux-x86_64",
  "org.deeplearning4j" % "dl4j-spark" % "0.4-rc3.6" ,
  "org.apache.spark" % "spark-sql_2.10" % "1.3.1", 
  "org.apache.spark" % "spark-hive_2.10" % "1.3.1",
  "org.apache.hive" % "hive-serde" % "0.14.0", 
  ("org.deeplearning4j" % "arbiter-deeplearning4j" % "0.5.0"))



16/11/14 22:57:03 INFO hive.HiveSharedState: Warehouse path is 'file:/home/hduser/spark-warehouse'.
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.spark.sql.hive.HiveContext.sql(Ljava/lang/String;)Lorg/apache/spark/sql/DataFrame;
    at poc.common.utilities.StockData$.fetchStockData(StockData.scala:15)
    at poc.analaticsEngine.AnalaticsStockWorkBench.fetchTrainingDataSet(AnalaticsStockWorkBench.scala:69)
    at poc.analaticsEngine.AnalaticsStockWorkBench.trainModel(AnalaticsStockWorkBench.scala:79)
    at test.poc.analatics.StockPrediction$.testTrainSaveModel(StockPrediction.scala:21)
    at test.poc.analatics.StockPrediction$.main(StockPrediction.scala:10)
    at test.poc.analatics.StockPrediction.main(StockPrediction.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:497)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
16/11/14 22:57:03 INFO spark.SparkContext: Invoking stop() from shutdown hook
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2 回答 2

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首先，您说您使用的是 Spark 2.0.0，但在您的依赖项中有

"org.apache.spark" % "spark-sql_2.10" % "1.3.1", 
"org.apache.spark" % "spark-hive_2.10" % "1.3.1",

您需要将这些依赖项更改为版本 2.0.0 以使其与 Spark 保持一致。更重要的是，您不需要spark-sql单独指定依赖项，因为它已经包含在spark-hive. hive-serde现在也有 2.1.0 版本，所以 0.14 可能已经过时了。

于 2016-11-14T09:44:25.307 回答
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请按照 dl4j 示例进行版本控制。我不确定你在哪里或如何得到canova（我们已经将近6个月没有使用它了？）

https://github.com/deeplearning4j/dl4j-examples/blob/master/dl4j-examples/pom.xml

于 2016-11-14T15:40:42.307 回答