Spark2.1.0 incompatible avec les versions 2.7.6 de Jackson

Question

J'essaie d'exécuter un exemple simple de spark dans intellij, mais j'obtiens l'erreur suivante :

Exception in thread "main" java.lang.ExceptionInInitializerError
at org.apache.spark.SparkContext.withScope(SparkContext.scala:701)
at org.apache.spark.SparkContext.textFile(SparkContext.scala:819)
at spark.test$.main(test.scala:19)
at spark.test.main(test.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
Caused by: com.fasterxml.jackson.databind.JsonMappingException: Incompatible Jackson version: 2.7.6
at com.fasterxml.jackson.module.scala.JacksonModule$class.setupModule(JacksonModule.scala:64)
at com.fasterxml.jackson.module.scala.DefaultScalaModule.setupModule(DefaultScalaModule.scala:19)
at com.fasterxml.jackson.databind.ObjectMapper.registerModule(ObjectMapper.java:730)
at org.apache.spark.rdd.RDDOperationScope$.<init>(RDDOperationScope.scala:82)
at org.apache.spark.rdd.RDDOperationScope$.<clinit>(RDDOperationScope.scala)

J'ai essayé de mettre à jour ma dépendance de Jackson, mais cela ne semble pas fonctionner, je fais ceci :

libraryDependencies += "com.fasterxml.jackson.core" % "jackson-core" % "2.8.7"
libraryDependencies += "com.fasterxml.jackson.core" % "jackson-databind" % "2.8.7"

mais il apparaît toujours les mêmes messages d'erreur, quelqu'un peut-il m'aider à réparer l'erreur ?

Voici un exemple de code étincelant :

object test {
def main(args: Array[String]): Unit = {
    if (args.length < 1) {
        System.err.println("Usage: <file>")
        System.exit(1)
    }

    val conf = new SparkConf()
    val sc = new SparkContext("local","wordcount",conf)
    val line = sc.textFile(args(0))

    line.flatMap(_.split(" ")).map((_, 1)).reduceByKey(_+_).collect().foreach(println)

    sc.stop()
    }
}

Et voici mon built.sbt :

name := "testSpark2"

version := "1.0"

scalaVersion := "2.11.8"

libraryDependencies += "com.fasterxml.jackson.core" % "jackson-core" % "2.8.7"
libraryDependencies += "com.fasterxml.jackson.core" % "jackson-databind" % "2.8.7"

libraryDependencies += "org.apache.spark" % "spark-core_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-mllib_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-repl_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-streaming-flume_2.10" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-sql_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-network-shuffle_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-streaming-kafka-0-10_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-hive_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-streaming-flume-assembly_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-mesos_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-graphx_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-catalyst_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-launcher_2.11" % "2.1.0"

Answer 1

Spark 2.1.0 contient com.fasterxml.jackson.core comme dépendance transitive. Ainsi, nous n'avons pas besoin d'inclure then dans libraryDependencies .

Mais si vous voulez ajouter une autre com.fasterxml.jackson.core la version des dépendances, vous devez les remplacer. Comme ceci :

name := "testSpark2"

version := "1.0"

scalaVersion := "2.11.8"

dependencyOverrides += "com.fasterxml.jackson.core" % "jackson-core" % "2.8.7"
dependencyOverrides += "com.fasterxml.jackson.core" % "jackson-databind" % "2.8.7"
dependencyOverrides += "com.fasterxml.jackson.module" % "jackson-module-scala_2.11" % "2.8.7"

libraryDependencies += "org.apache.spark" % "spark-core_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-mllib_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-repl_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-streaming-flume_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-sql_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-network-shuffle_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-streaming-kafka-0-10_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-hive_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-streaming-flume-assembly_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-mesos_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-graphx_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-catalyst_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-launcher_2.11" % "2.1.0"

Alors, changez votre build.sbt comme celle ci-dessus et cela fonctionnera comme prévu.

J'espère que cela vous aidera !

Answer 2

POUR INFO. Dans mon cas, j'utilise spark et kafka-streams dans l'application, tandis que kafka-streams utilise com.fasterxml.jackson.core 2.8.5. Ajout de exclude comme ci-dessous pour résoudre le problème

(gradle)

compile (group: "org.apache.kafka", name: "kafka-streams", version: "0.11.0.0"){
    exclude group:"com.fasterxml.jackson.core"
}

Answer 3

Solution avec Gradle, en utilisant la resolutionStrategy ( https://docs.gradle.org/current/dsl/org.gradle.api.artifacts.ResolutionStrategy.html ) :

configurations {

    all {

        resolutionStrategy {
            force 'com.fasterxml.jackson.core:jackson-core:2.4.4', 'com.fasterxml.jackson.core:jackson-databind:2.4.4', 'com.fasterxml.jackson.core:jackson-annotations:2.4.4'
        }
    }
}