eclipse Spark2.2.1 不兼容 Jackson 版本 2.8.8

声明:本页面是StackOverFlow热门问题的中英对照翻译,遵循CC BY-SA 4.0协议,如果您需要使用它,必须同样遵循CC BY-SA许可,注明原文地址和作者信息,同时你必须将它归于原作者(不是我):StackOverFlow 原文地址: http://stackoverflow.com/questions/47951910/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me): StackOverFlow

提示:将鼠标放在中文语句上可以显示对应的英文。显示中英文
时间:2020-09-19 23:31:27  来源:igfitidea点击:

Spark2.2.1 incompatible Hymanson version 2.8.8

javaeclipsescalamavenapache-spark

提问by Fobi

My configuration is:

我的配置是:

  • Scala 2.11 (plugin Scala IDE)
  • Eclipse Neon.3 Release (4.6.3)
  • Windows 7 64bit
  • Scala 2.11(插件 Scala IDE)
  • Eclipse Neon.3 发布 (4.6.3)
  • 视窗 7 64 位

I want run this simple scala code (Esempio.scala):

我想运行这个简单的 Scala 代码 (Esempio.scala):

package it.scala

// importo packages di Spark
import org.apache.spark.SparkContext
import org.apache.spark.SparkConf


object Wordcount {
    def main(args: Array[String]) {

        val inputs: Array[String] = new Array[String](2)
        inputs(0) = "C:\Users\FobiDell\Desktop\input"
        inputs(1) = "C:\Users\FobiDell\Desktop\output"

        // oggetto SparkConf per settare i parametri sulla propria applicazione 
        // da fornire poi al cluster manager scelto (Yarn, Mesos o Standalone).
        val conf = new SparkConf()
        conf.setAppName("Smartphone Addiction")
        conf.setMaster("local")

        // oggetto SparkContext per connessione al cluster manager scelto
        val sc = new SparkContext(conf)

        //Read file and create RDD
        val rawData = sc.textFile(inputs(0))

        //convert the lines into words using flatMap operation
        val words = rawData.flatMap(line => line.split(" "))

        //count the individual words using map and reduceByKey operation
        val wordCount = words.map(word => (word, 1)).reduceByKey(_ + _)

        //Save the result
        wordCount.saveAsTextFile(inputs(1))

       //stop the spark context
       sc.stop

   }

}

So, if I use the Spark-shell everything is ok otherwise, from Eclipse IDE, if I select the file (Esempio.scala) and run it via Run->Run as->Scala application, I obtain this Exception:

因此,如果我使用 Spark-shell 一切正常,否则从 Eclipse IDE 中,如果我选择文件 (Esempio.scala) 并通过 Run->Run as->Scala 应用程序运行它,我将获得此异常:

Exception in thread "main" java.lang.ExceptionInInitializerError
    at org.apache.spark.SparkContext.withScope(SparkContext.scala:701)
    at org.apache.spark.SparkContext.textFile(SparkContext.scala:830)
    at it.scala.Wordcount$.main(Esempio.scala:47)
    at it.scala.Wordcount.main(Esempio.scala)
Caused by: com.fasterxml.Hymanson.databind.JsonMappingException: Incompatible Hymanson version: 2.8.8
    at com.fasterxml.Hymanson.module.scala.HymansonModule$class.setupModule(HymansonModule.scala:64)
    at com.fasterxml.Hymanson.module.scala.DefaultScalaModule.setupModule(DefaultScalaModule.scala:19)
    at com.fasterxml.Hymanson.databind.ObjectMapper.registerModule(ObjectMapper.java:745)
    at org.apache.spark.rdd.RDDOperationScope$.<init>(RDDOperationScope.scala:82)
    at org.apache.spark.rdd.RDDOperationScope$.<clinit>(RDDOperationScope.scala)
    ... 4 more  

My pom.xml file is:

我的 pom.xml 文件是:

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <groupId>it.hgfhgf.xhgfghf</groupId>
  <artifactId>progetto</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <packaging>jar</packaging>

  <name>progetto</name>
  <url>http://maven.apache.org</url>

  <properties>
     <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
  </properties>

  <dependencies>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>3.8.1</version>
      <scope>test</scope>
    </dependency>

    <!-- Neo4j JDBC DRIVER -->
    <dependency>
      <groupId>org.neo4j</groupId>
      <artifactId>neo4j-jdbc-driver</artifactId>
      <version>3.1.0</version>
    </dependency>

    <!-- Scala -->
    <dependency>
      <groupId>org.scala-lang</groupId>
      <artifactId>scala-library</artifactId>
      <version>2.11.11</version>
    </dependency> 

    <!-- Spark -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.11</artifactId>
      <version>2.2.1</version>
    </dependency>


  </dependencies>


</project>

I noticed that the .jar files that are into spark-2.2.1-bin-hadoop2.7/jars directory are:

我注意到 spark-2.2.1-bin-hadoop2.7/jars 目录中的 .jar 文件是:

  • Hymanson-core-2.6.5.jar
  • Hymanson-databind-2.6.5.jar
  • Hymanson-module-paranamer-2.6.5.jar
  • Hymanson-module-scala_2.11-2.6.5.jar
  • Hymanson-annotations-2.6.5.jar
  • Hyman逊核心2.6.5.jar
  • Hyman逊-数据绑定-2.6.5.jar
  • Hymanson-module-paranamer-2.6.5.jar
  • Hymanson-module-scala_2.11-2.6.5.jar
  • Hymanson-annotations-2.6.5.jar

Can anyone explain to me in simple terms what this exception is and how can it be resolved?

任何人都可以简单地向我解释这个异常是什么以及如何解决它?

回答by subodh

Spark 2.x contains the Hymanson 2.6.5and neo4j-jdbc-driveruses Hymanson 2.8.8version, here the dependency conflict between two different version of Hymanson library. That's why you are getting this Incompatible Hymanson version: 2.8.8error.

Spark 2.x 包含Hymanson 2.6.5neo4j-jdbc-driver使用Hymanson 2.8.8版本,这里是两个不同版本的Hymanson 库之间的依赖冲突。这就是您收到此Incompatible Hymanson version: 2.8.8错误的原因。

Try to override the dependency version for these[below] modules inside your pom.xmland see if works,

尝试覆盖这些[下面]模块中的依赖版本pom.xml,看看是否有效,

  1. Hymanson-core
  2. Hymanson-databind
  3. Hymanson-module-scala_2.x
  1. Hyman逊核心
  2. Hyman逊数据绑定
  3. Hymanson-module-scala_2.x

or try adding below dependency into your pom.xml

或尝试将以下依赖项添加到您的 pom.xml

        <dependency>
            <groupId>com.fasterxml.Hymanson.module</groupId>
            <artifactId>Hymanson-module-scala_2.11</artifactId>
            <version>2.8.8</version>
        </dependency> 

回答by David Urry

Scala version 2.1.1 works with Hymanson 2.6.5. Use the following:

Scala 2.1.1 版适用于 Hymanson 2.6.5。使用以下内容:

    <dependency>
        <groupId>com.fasterxml.Hymanson.core</groupId>
        <artifactId>Hymanson-databind</artifactId>
        <version>2.6.5</version>
    </dependency>

回答by Lorenz Bernauer

I did run into the same version conflict of Hymanson. In addition to override Hymanson-core, Hymanson-databind, Hymanson-module-scala_2.x, I also defined Hymanson-annotations in my pom.xml, which solved the conflict.

我确实遇到了与Hyman逊相同的版本冲突。除了覆盖Hymanson-core、Hymanson-databind、Hymanson-module-scala_2.x之外,我还在我的pom.xml中定义了Hymanson-annotations,解决了冲突。

回答by Friggles

Not sure if this helps anyone whos had the problem with an sbt project thats using scala 2.12. Putting in Hymanson-module-scala_2.11doesn't quite work. There a single version of Hymanson-module-scala 2.6.7 that has a scala 2.12 build

不确定这是否对使用 scala 2.12 的 sbt 项目有问题的人有所帮助。放入Hymanson-module-scala_2.11不太好用。有一个单一版本的 Hymanson-module-scala 2.6.7,它有一个 Scala 2.12 版本

Following line in build.sbt worked

build.sbt 中的以下行有效

dependencyOverrides ++= {
  Seq(
    "com.fasterxml.Hymanson.module" %% "Hymanson-module-scala" % "2.6.7.1",
    "com.fasterxml.Hymanson.core" % "Hymanson-databind" % "2.6.7",
    "com.fasterxml.Hymanson.core" % "Hymanson-core" % "2.6.7"
  )
}

This fixed the problem for spark 2.4.5

这解决了 spark 2.4.5 的问题

回答by Ankur Srivastava

Below is the combination that worked for me .

 aws-java-sdk-1.7.4.jar
 hadoop-aws-2.7.3.jar
 joda-time-2.9.6.jar
 hadoop-client-2.7.3-sources.jar
 hadoop-client-2.7.3.jar
 hadoop-client-2.6.0-javadoc.jar
 hadoop-client-2.6.0.jar
 jets3t-0.9.4.jar
 Hymanson-core-2.10.0.jar
 Hymanson-databind-2.8.6.jar
 Hymanson-module-scala_2.11-2.8.5.jar
 Hymanson-annotations-2.8.7.jar