是否有可能使用json4s 3.2.11星火1.3.0？

编程入门行业动态更新时间:2024-10-14 10:42:27

本文介绍了是否有可能使用json4s 3.2.11星火1.3.0？的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！问题描述

星火对json4s 3.2.10的依赖，但是这个版本有一些错误，我需要使用3.2.11。我加json4s本地3.2.11依赖性build.sbt和一切编译罚款。但是，当我火花提交我的JAR它为我提供了3.2.10。

Spark has a dependency on json4s 3.2.10, but this version has several bugs and I need to use 3.2.11. I added json4s-native 3.2.11 dependency to build.sbt and everything compiled fine. But when I spark-submit my JAR it provides me with 3.2.10.

build.sbt

import sbt.Keys._ name := "sparkapp" version := "1.0" scalaVersion := "2.10.4" libraryDependencies += "org.apache.spark" %% "spark-core" % "1.3.0" % "provided" libraryDependencies += "org.json4s" %% "json4s-native" % "3.2.11"`

plugins.sbt

logLevel := Level.Warn resolvers += Resolver.url("artifactory", url("scalasbt.artifactoryonline/scalasbt/sbt-plugin-releases"))(Resolver.ivyStylePatterns) addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.13.0")

App1.scala

import org.apache.spark.SparkConf import org.apache.spark.rdd.RDD import org.apache.spark.{Logging, SparkConf, SparkContext} import org.apache.spark.SparkContext._ object App1 extends Logging { def main(args: Array[String]) = { val conf = new SparkConf().setAppName("App1") val sc = new SparkContext(conf) println(s"json4s version: ${org.json4s.BuildInfo.version.toString}") } }

SBT 0.13.7 + SBT-装配0.13.0斯卡拉2.10.4

sbt 0.13.7 + sbt-assembly 0.13.0 Scala 2.10.4

有没有办法强制3.2.11版本的使用情况如何？

Is there a way to force 3.2.11 version usage?

推荐答案

我问星火用户邮件列表同样的问题，并得到了两种答案如何使其工作：

I asked the same question in the Spark User Mailing List, and got two answers how to make it work:

使用spark.driver.userClassPathFirst =真实spark.executor.userClassPathFirst =真选项，但它只能在星火1.3，可能会需要像你构建不包括Scala类的其他一些修改。

Use spark.driver.userClassPathFirst=true and spark.executor.userClassPathFirst=true options, but it works only in Spark 1.3 and probably will require some other modifications like excluding Scala classes from your build.

重建与json4s星火3.2.11版本（你可以在核心/ pom.xml的改变）