【异常】SparkSession执行action操作时java.lang.ClassNotFoundException: org.codehaus.commons.compiler.Unchecked

本文解决了一个 Spark SQL 在执行 Dataset 的 action 操作时遇到的 NoClassDefFoundError 异常,通过添加特定版本的 commons-compiler 依赖解决了问题。

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问题描述:

在之前Spark程序一直没有问题,今天跑的时候就出现找不到类的错误,具体异常栈如下:

写了简单的测试发现,是因为执行了Dataset的action操作会出现下面,并且这个找不到的类属于spark-sql所依赖的jar包,发现3.0.0里面确实没有这个类,然后只好在pom文件里面加上2.7.8的commons-compiler的版本。

<dependency>
  <groupId>org.codehaus.janino</groupId>
  <artifactId>commons-compiler</artifactId>
  <version>2.7.8</version>
</dependency>

后面发现是其他同事继承了spring的一些包导致的


org.spark_project.guava.util.concurrent.ExecutionError: java.lang.NoClassDefFoundError: org/codehaus/commons/compiler/UncheckedCompileException

	at org.spark_project.guava.cache.LocalCache$Segment.get(LocalCache.java:2261)
	at org.spark_project.guava.cache.LocalCache.get(LocalCache.java:4000)
	at org.spark_project.guava.cache.LocalCache.getOrLoad(LocalCache.java:4004)
	at org.spark_project.guava.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
	at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.compile(CodeGenerator.scala:890)
	at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:357)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
	at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:225)
	at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:272)
	at org.apache.spark.sql.Dataset$$anonfun$collectAsList$1$$anonfun$apply$11.apply(Dataset.scala:2364)
	at org.apache.spark.sql.Dataset$$anonfun$collectAsList$1$$anonfun$apply$11.apply(Dataset.scala:2363)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
	at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2765)
	at org.apache.spark.sql.Dataset$$anonfun$collectAsList$1.apply(Dataset.scala:2363)
	at org.apache.spark.sql.Dataset$$anonfun$collectAsList$1.apply(Dataset.scala:2362)
	at org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2778)
	at org.apache.spark.sql.Dataset.collectAsList(Dataset.scala:2362)
	at com.bbd.finance.fc.utils.SparkUtislTest.initSpark1(SparkUtislTest.java:148)
	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 org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
	at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
	at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
	at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26)
	at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
	at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
	at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68)
	at com.intellij.rt.execution.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:51)
	at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:237)
	at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:70)
Caused by: java.lang.NoClassDefFoundError: org/codehaus/commons/compiler/UncheckedCompileException
	at org.codehaus.janino.SimpleCompiler.compileToClassLoader(SimpleCompiler.java:380)
	at org.codehaus.janino.ClassBodyEvaluator.compileToClass(ClassBodyEvaluator.java:315)
	at org.codehaus.janino.ClassBodyEvaluator.cook(ClassBodyEvaluator.java:233)
	at org.codehaus.janino.SimpleCompiler.cook(SimpleCompiler.java:192)
	at org.codehaus.commons.compiler.Cookable.cook(Cookable.java:91)
	at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerator$$doCompile(CodeGenerator.scala:935)
	at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:998)
	at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:995)
	at org.spark_project.guava.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599)
	at org.spark_project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2379)
	at org.spark_project.guava.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)
	at org.spark_project.guava.cache.LocalCache$Segment.get(LocalCache.java:2257)
	... 45 more
Caused by: java.lang.ClassNotFoundException: org.codehaus.commons.compiler.UncheckedCompileException
	at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
	at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:335)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
	... 57 more


### Janino ScriptEvaluator 文档与使用示例 #### 动态表达式求值器简介 `org.codehaus.janino.ScriptEvaluator` 是 Janino 库中的一个重要组件,用于执行简单的脚本或表达式的即编译和运行。这使得应用程序能够在运行评估字符串形式的 Java 表达式[^1]。 #### 使用场景 由于 `ScriptEvaluator` 支持动态编译特性,在处理复杂的、依赖平台特性的Java应用中尤为有用。它允许开发者编写更加灵活的应用逻辑,特别是在需要根据外部输入调整行为的情况下。 #### 基础用法实例 下面是一个基本的例子来展示如何利用 `ScriptEvaluator` 来计算数学表达式的结果: ```java import org.codehaus.commons.compiler.CompileException; import org.codehaus.janino.ScriptEvaluator; public class Example { public static void main(String[] args) throws CompileException { String expression = "Math.pow(x, y)"; // 创建一个新的 ScriptEvaluator 实例 ScriptEvaluator evaluator = new ScriptEvaluator(); // 设置变量环境 evaluator.cook(expression); evaluator.set("x", Double.class, 2.0); evaluator.set("y", Integer.TYPE, 3); // 执行并获取结果 Object result = evaluator.evaluate(Double.class); System.out.println(result); // 输出8.0 } } ``` 此代码片段展示了怎样定义一个待求值的表达式,并设置必要的参数之后调用 `evaluate()` 方法得到最终数值结果。 #### 变量覆盖注意事项 需要注意的是当在脚本内部声明新的局部变量可能会意外地替换掉之前已经存在的同名全局变量。因此建议仔细管理命名空间以避免潜在冲突[^2]。
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