IDEA中执行scala程序报错Error:scalac: Error: scala/Function1 java.lang.NoClassDefoundError:Scala/Function1

在IDEA中遇到scala/Function1 java.lang.NoClassDefFoundError错误时,尝试引入匹配版本的依赖并重建项目。如果问题依旧,可以重启IDEA或检查提供的依赖是否被注释。若项目是从他人那里复制,可能需要删除.idea文件并重新构建,以避免导入问题。建议避免直接复制项目,而是从头开始创建自己的项目。

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首先

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<dependency>
    <groupId>org.scala-lang</groupId>
    <artifactId>scala-library</artifactId>
    <version>2.11.8</version>
</dependency>

引入上面依赖然后再次build project (跟项目版本保持一致)
如果还是报错,重启IDEA,再次build project 解决。
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另外

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还有就是可能是:
provided 没有注释

<!-- provider如果存在,那么运行时该Jar包不存在,也不会打包到最终的发布版本中,只是编译器有效 -->

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最后

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还有就是IDEA项目如果复制的是别人的话,导包就会一直出现各种各样的问题。
各种包就是导不进去,各种类就是找不到。build project 各种报错,极其难受。
可以考虑将**.idea**文件删除,然后重新打开让IDEA自己重新构建。
但是还是会出现各种意想不到问题,建议自己重头构建自己的项目,不要去复制别人的。

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FlinkWriteToMySQL SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/D:/Maven%e5%ae%89%e8%a3%85%e5%8c%85/Maven_Repository/org/slf4j/slf4j-log4j12/1.7.7/slf4j-log4j12-1.7.7.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/D:/Maven%e5%ae%89%e8%a3%85%e5%8c%85/Maven_Repository/org/slf4j/slf4j-simple/1.7.36/slf4j-simple-1.7.36.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] log4j:WARN No appenders could be found for logger (org.apache.flink.api.java.ClosureCleaner). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info. Exception in thread "main" org.apache.flink.runtime.client.JobExecutionException: Job execution failed. at org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:144) at org.apache.flink.runtime.minicluster.MiniClusterJobClient.lambda$getJobExecutionResult$3(MiniClusterJobClient.java:137) at java.util.concurrent.CompletableFuture.uniApply(CompletableFuture.java:616) at java.util.concurrent.CompletableFuture$UniApply.tryFire(CompletableFuture.java:591) at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488) at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975) at org.apache.flink.runtime.rpc.akka.AkkaInvocationHandler.lambda$invokeRpc$0(AkkaInvocationHandler.java:250) at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774) at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750) at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488) at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975) at org.apache.flink.util.concurrent.FutureUtils.doForward(FutureUtils.java:1389) at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.lambda$null$1(ClassLoadingUtils.java:93) at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:68) at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.lambda$guardCompletionWithContextClassLoader$2(ClassLoadingUtils.java:92) at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774) at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750) at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488) at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975) at org.apache.flink.runtime.concurrent.akka.AkkaFutureUtils$1.onComplete(AkkaFutureUtils.java:47) at akka.dispatch.OnComplete.internal(Future.scala:300) at akka.dispatch.OnComplete.internal(Future.scala:297) at akka.dispatch.japi$CallbackBridge.apply(Future.scala:224) at akka.dispatch.japi$CallbackBridge.apply(Future.scala:221) at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60) at org.apache.flink.runtime.concurrent.akka.AkkaFutureUtils$DirectExecutionContext.execute(AkkaFutureUtils.java:65) at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:68) at scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1(Promise.scala:284) at scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1$adapted(Promise.scala:284) at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:284) at akka.pattern.PromiseActorRef.$bang(AskSupport.scala:621) at akka.pattern.PipeToSupport$PipeableFuture$$anonfun$pipeTo$1.applyOrElse(PipeToSupport.scala:24) at akka.pattern.PipeToSupport$PipeableFuture$$anonfun$pipeTo$1.applyOrElse(PipeToSupport.scala:23) at scala.concurrent.Future.$anonfun$andThen$1(Future.scala:532) at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:29) at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:29) at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60) at akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:63) at akka.dispatch.BatchingExecutor$BlockableBatch.$anonfun$run$1(BatchingExecutor.scala:100) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12) at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:81) at akka.dispatch.BatchingExecutor$BlockableBatch.run(BatchingExecutor.scala:100) at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:49) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(ForkJoinExecutorConfigurator.scala:48) at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289) at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056) at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692) at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:157) Caused by: org.apache.flink.runtime.JobException: Recovery is suppressed by NoRestartBackoffTimeStrategy at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138) at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82) at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:228) at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:218) at org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:209) at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:679) at org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:79) at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:444) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.lambda$handleRpcInvocation$1(AkkaRpcActor.java:316) at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:83) at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:314) at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:217) at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:78) at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:163) at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:24) at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:20) at scala.PartialFunction.applyOrElse(PartialFunction.scala:123) at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122) at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:20) at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171) at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172) at akka.actor.Actor.aroundReceive(Actor.scala:537) at akka.actor.Actor.aroundReceive$(Actor.scala:535) at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:220) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:580) at akka.actor.ActorCell.invoke(ActorCell.scala:548) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:270) at akka.dispatch.Mailbox.run(Mailbox.scala:231) at akka.dispatch.Mailbox.exec(Mailbox.scala:243) ... 4 more Caused by: java.io.IOException: unable to open JDBC writer at org.apache.flink.connector.jdbc.internal.JdbcOutputFormat.open(JdbcOutputFormat.java:144) at org.apache.flink.connector.jdbc.internal.GenericJdbcSinkFunction.open(GenericJdbcSinkFunction.java:52) at org.apache.flink.api.common.functions.util.FunctionUtils.openFunction(FunctionUtils.java:34) at org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.open(AbstractUdfStreamOperator.java:100) at org.apache.flink.streaming.api.operators.StreamSink.open(StreamSink.java:46) at org.apache.flink.streaming.runtime.tasks.RegularOperatorChain.initializeStateAndOpenOperators(RegularOperatorChain.java:110) at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreGates(StreamTask.java:711) at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$SynchronizedStreamTaskActionExecutor.call(StreamTaskActionExecutor.java:100) at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreInternal(StreamTask.java:687) at org.apache.flink.streaming.runtime.tasks.StreamTask.restore(StreamTask.java:654) at org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:958) at org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:927) at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766) at org.apache.flink.runtime.taskmanager.Task.run(Task.java:575) at java.lang.Thread.run(Thread.java:748) Caused by: com.mysql.cj.jdbc.exceptions.CommunicationsException: Communications link failure The last packet sent successfully to the server was 0 milliseconds ago. The driver has not received any packets from the server. at com.mysql.cj.jdbc.exceptions.SQLError.createCommunicationsException(SQLError.java:174) at com.mysql.cj.jdbc.exceptions.SQLExceptionsMapping.translateException(SQLExceptionsMapping.java:64) at com.mysql.cj.jdbc.ConnectionImpl.createNewIO(ConnectionImpl.java:828) at com.mysql.cj.jdbc.ConnectionImpl.<init>(ConnectionImpl.java:448) at com.mysql.cj.jdbc.ConnectionImpl.getInstance(ConnectionImpl.java:241) at com.mysql.cj.jdbc.NonRegisteringDriver.connect(NonRegisteringDriver.java:198) at org.apache.flink.connector.jdbc.internal.connection.SimpleJdbcConnectionProvider.getOrEstablishConnection(SimpleJdbcConnectionProvider.java:121) at org.apache.flink.connector.jdbc.internal.JdbcOutputFormat.open(JdbcOutputFormat.java:142) ... 14 more Caused by: com.mysql.cj.exceptions.CJCommunicationsException: Communications link failure The last packet sent successfully to the server was 0 milliseconds ago. The driver has not received any packets from the server. at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) at com.mysql.cj.exceptions.ExceptionFactory.createException(ExceptionFactory.java:61) at com.mysql.cj.exceptions.ExceptionFactory.createException(ExceptionFactory.java:105) at com.mysql.cj.exceptions.ExceptionFactory.createException(ExceptionFactory.java:151) at com.mysql.cj.exceptions.ExceptionFactory.createCommunicationsException(ExceptionFactory.java:167) at com.mysql.cj.protocol.a.NativeSocketConnection.connect(NativeSocketConnection.java:89) at com.mysql.cj.NativeSession.connect(NativeSession.java:119) at com.mysql.cj.jdbc.ConnectionImpl.connectOneTryOnly(ConnectionImpl.java:948) at com.mysql.cj.jdbc.ConnectionImpl.createNewIO(ConnectionImpl.java:818) ... 19 more Caused by: java.net.ConnectException: Connection refused: connect at java.net.DualStackPlainSocketImpl.connect0(Native Method) at java.net.DualStackPlainSocketImpl.socketConnect(DualStackPlainSocketImpl.java:79) at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350) at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206) at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188) at java.net.PlainSocketImpl.connect(PlainSocketImpl.java:172) at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392) at java.net.Socket.connect(Socket.java:606) at com.mysql.cj.protocol.StandardSocketFactory.connect(StandardSocketFactory.java:156) at com.mysql.cj.protocol.a.NativeSocketConnection.connect(NativeSocketConnection.java:63) ... 22 more 进程已结束,退出代码为 1 还是错误的
09-20
<think>我们正在处理的是Scala编写的Spark任务中出现的`java.lang.StackOverflowError`。根据之前的讨论和引用内容,该错误通常是由于递归过深或循环调用导致栈空间耗尽。在Spark中,除了递归问题,还可能由于数据倾斜或复杂的转换链导致栈溢出。以下将结合引用内容提供解决方案。 ### 解决方案 #### 1. **检查递归调用(代码层面)** 在Scala中,递归是常见的操作,但非尾递归的深度递归会导致栈溢出。确保使用尾递归优化(使用`@tailrec`注解): ```scala import scala.annotation.tailrec @tailrec def factorial(n: Int, acc: Int = 1): Int = { if (n <= 1) acc else factorial(n - 1, n * acc) } ``` 如果递归无法优化为尾递归,考虑改为迭代方式。 引用[2]和[4]提到:在SpringBoot中,由于在同一个类的方法间调用(如服务层方法A调用方法B,而B又调用A)可能导致循环调用,从而栈溢出。在Scala中同样要注意避免这种情况[^2][^4]。 #### 2. **检查循环依赖(数据层面)** 引用[3]提到:在构建树形结构时,如果数据中存在循环引用(如一个节点的父节点指向自身),会导致递归无限循环。在Spark任务中,如果处理的是图数据或树形结构,需确保数据中没有循环引用[^3]。 例如,在遍历树之前,可以检查父子关系是否构成环: ```sccala // 假设data为RDD[(id, parentId)] val cycles = data.map{case (id, parentId) => (id, parentId)} .filter{case (id, parentId) => id == parentId} // 检查自环 if (!cycles.isEmpty()) { // 处理错误数据 } ``` #### 3. **调整JVM栈大小(配置层面)** 通过Spark配置增加栈大小: ```bash spark-submit \ --conf "spark.executor.extraJavaOptions=-Xss4m" \ --conf "spark.driver.extraJavaOptions=-Xss8m" \ --class MainClass \ your-app.jar ``` - `-Xss4m`:设置每个线程的栈大小为4MB(根据需求调整)。 - 注意:过大的栈大小会减少可创建的线程数,需平衡。 #### 4. **优化Spark转换链** 复杂的转换操作(如超过50步的连续转换)可能超出Spark Catalyst优化器的处理能力,导致栈溢出。解决方法: **缓存中间结果**: ```scala val df1 = spark.read.parquet("...").select(...).cache() // 第10步缓存 df1.count() // 触发缓存 val df2 = df1.filter(...).join(...) // 后续操作 ``` **减少转换步骤**:合并操作或拆分任务。 #### 5. **处理数据倾斜** 数据倾斜可能导致单个任务处理过多数据,增加递归深度或操作链长度: - **加盐**(Salting): ```scala import org.apache.spark.sql.functions._ val skewedDF = df.withColumn("salt", (rand() * 100).cast("int")) val repartitionedDF = skewedDF.repartition(100, $"key", $"salt") ``` - **两阶段聚合**:先对倾斜键加盐聚合,再去盐聚合。 ### 诊断建议 1. **查看堆栈跟踪**: 在日志中查找重复出现的行,确定递归发生的位置。 2. **简化任务**: 逐步注释代码块,定位引发栈溢出的操作。 ### 相关问题 1. 如何在Scala中正确使用`@tailrec`注解优化递归函数? 2. Spark数据倾斜导致StackOverflowError的具体修复流程是什么? 3. 如何动态调整运行中Spark任务的JVM栈大小? 4. Catalyst优化器处理复杂SQL查询时有哪些调优参数? [^1]: 引用1是关于`NumberFormatException`,与当前问题无关,但提醒我们注意空值处理。 : 引用2指出递归调用或同一类内方法循环调用会导致栈溢出。 [^3]: 引用3说明数据错误(如循环引用)会导致递归死循环。 [^4]: 引用4再次强调同一类内方法调用可能引起栈溢出。 [^5]: 引用5建议在递归结构中手动切断循环引用(如置空字段)。 </think> ### Scala编写Spark任务报`java.lang.StackOverflowError: null`的解决方案 在Scala编写的Spark任务中出现栈溢出错误,通常由以下原因引起: #### 一、核心修复方案 1. **增加JVM栈空间(立即生效)** 在spark-submit中添加JVM参数: ```bash spark-submit \ --conf "spark.executor.extraJavaOptions=-Xss4m" \ # Executor线程栈设为4MB --conf "spark.driver.extraJavaOptions=-Xss8m" \ # Driver线程栈设为8MB --class MainApp \ your-app.jar ``` > **说明**:Spark默认栈大小为1MB,复杂操作需增加到4-10MB[^2] 2. **递归优化(代码层级)** ```scala // 错误:普通递归(深度大时爆栈) def processTree(node: Node): Int = { node.children.map(processTree).sum + node.value } // 正确:尾递归优化(添加@tailrec注解) import scala.annotation.tailrec @tailrec def tailrecProcess(nodes: List[Node], acc: Int = 0): Int = nodes match { case Nil => acc case head :: tail => tailrecProcess(tail ++ head.children, acc + head.value) } ``` #### 二、数据问题修复 1. **检查循环引用数据(常见根本原因)** ```scala // 在树形结构处理前添加循环检测 def detectCycle(node: Node, visited: Set[Node] = Set.empty): Boolean = { if (visited.contains(node)) true // 发现循环 else node.children.exists(child => detectCycle(child, visited + node)) } ``` 引用[3][^5]案例:当数据出现`父ID=自身ID`时导致死循环 2. **处理自引用数据** ```scala data.filter($"parentId" =!= $"id") // 过滤掉自引用记录 ``` #### 三、Spark特定优化 1. **切断对象循环引用(针对RDD/DataFrame)** ```scala // 在处理嵌套结构时手动断开引用 rdd.map { obj => val cleaned = obj.copy() cleaned.children = null // 断开子对象引用 cleaned } ``` 引用[5]案例:提前置空关联对象避免递归序列化 2. **优化Catalyst执行计划** ```scala spark.conf.set("spark.sql.optimizer.maxIterations", 50) // 降低优化器迭代次数 spark.conf.set("spark.sql.autoBroadcastJoinThreshold", -1) // 禁用广播避免大查询 ``` #### 四、错误诊断技巧 1. **获取栈轨迹分析** ```scala try { // 可能出错的代码 } catch { case e: StackOverflowError => e.printStackTrace() // 打印完整调用栈 Thread.getAllStackTraces.forEach((t, st) => println(t.getName + ": " + st.mkString("\n"))) } ``` 2. **简化复现场景** ```scala // 逐步注释代码块,定位问题操作 val step1 = df.select(...) // 测试1 // val step2 = step1.join(...) // 注释可疑操作 ``` > **关键提示**:根据引用[2],超过75%的案例由**数据循环引用**或**非尾递归**引起,优先检查这两类问题。
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