Scala模块与Jackson Databind版本不兼容致Spark测试报错求助
解决Spark测试中的Jackson版本冲突问题
问题场景
SBT项目使用ScalaTest和Shared Spark Session开展测试工作,近期运行测试时出现Jackson版本冲突错误,导致测试无法正常执行。
错误信息
java.lang.ExceptionInInitializerError at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176) ..... Caused by: com.fasterxml.jackson.databind.JsonMappingException: Scala module 2.10.0 requires Jackson Databind version >= 2.10.0 and < 2.11.0 at com.fasterxml.jackson.module.scala.JacksonModule.setupModule(JacksonModule.scala:61) at com.fasterxml.jackson.module.scala.JacksonModule.setupModule$(JacksonModule.scala:46)
测试代码
import org.apache.spark.sql.QueryTest.checkAnswer import org.apache.spark.sql.Row import org.apache.spark.sql.test.SharedSparkSession class SparkTestSpec extends SharedSparkSession { import testImplicits._ test("join - join using") { val df = Seq(1, 2, 3).toDF("int") checkAnswer(df, Row(1) :: Row(2) :: Row(3) :: Nil) } }
当前SBT配置
ThisBuild / scalaVersion := "2.12.10" val sparkVersion = "3.1.0" val scalaTestVersion = "3.2.1" libraryDependencies ++= Seq( "org.apache.spark" %% "spark-sql" % sparkVersion, "org.apache.spark" %% "spark-sql" % sparkVersion % Test, "org.apache.spark" %% "spark-sql" % sparkVersion % Test classifier "tests", "org.apache.spark" %% "spark-catalyst" % sparkVersion % Test, "org.apache.spark" %% "spark-catalyst" % sparkVersion % Test classifier "tests", "org.apache.spark" %% "spark-hive" % sparkVersion % Test, "org.apache.spark" %% "spark-hive" % sparkVersion % Test classifier "tests", "org.apache.spark" %% "spark-core" % sparkVersion, "org.apache.spark" %% "spark-core" % sparkVersion % Test classifier "tests", "log4j" % "log4j" % "1.2.17", "org.slf4j" % "slf4j-log4j12" % "1.7.30", "org.scalatest" %% "scalatest" % scalaTestVersion % Test, "org.scalatestplus" %% "scalacheck-1-14" % "3.2.2.0", )
解决方案
冲突原因
Spark 3.1.0依赖的Jackson Scala Module版本为2.10.0,该版本要求Jackson Databind版本必须在>=2.10.0且<2.11.0范围内。项目中存在其他依赖(如ScalaTest或其传递依赖)引入了不符合该范围的Jackson版本,导致版本不匹配报错。
解决步骤
- 强制统一Jackson版本:在SBT配置中添加
dependencyOverrides,指定所有Jackson相关组件的版本为2.10.0,确保版本一致。 - 简化依赖声明:移除重复的依赖配置,减少冗余。
修改后的SBT配置
ThisBuild / scalaVersion := "2.12.10" val sparkVersion = "3.1.0" val scalaTestVersion = "3.2.1" // 指定Spark兼容的Jackson版本 val jacksonVersion = "2.10.0" libraryDependencies ++= Seq( "org.apache.spark" %% "spark-sql" % sparkVersion, "org.apache.spark" %% "spark-core" % sparkVersion, // 测试相关依赖 "org.apache.spark" %% "spark-sql" % sparkVersion % Test classifier "tests", "org.apache.spark" %% "spark-catalyst" % sparkVersion % Test classifier "tests", "org.apache.spark" %% "spark-hive" % sparkVersion % Test classifier "tests", "org.apache.spark" %% "spark-core" % sparkVersion % Test classifier "tests", "log4j" % "log4j" % "1.2.17", "org.slf4j" % "slf4j-log4j12" % "1.7.30", "org.scalatest" %% "scalatest" % scalaTestVersion % Test, "org.scalatestplus" %% "scalacheck-1-14" % "3.2.2.0" % Test, ) // 强制统一Jackson所有组件版本 dependencyOverrides ++= Seq( "com.fasterxml.jackson.core" % "jackson-core" % jacksonVersion, "com.fasterxml.jackson.core" % "jackson-databind" % jacksonVersion, "com.fasterxml.jackson.core" % "jackson-annotations" % jacksonVersion, "com.fasterxml.jackson.module" %% "jackson-module-scala" % jacksonVersion )
说明
dependencyOverrides会强制项目中所有依赖(包括传递依赖)使用指定的Jackson版本,彻底解决版本冲突。- 移除了重复的
spark-sql和spark-core在Test scope的普通依赖,因为只需要带classifier "tests"的测试依赖即可满足Shared Spark Session的使用需求。
内容的提问来源于stack exchange,提问作者Vadim
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