spark-shell启动失败报错 Failed to connect to master node1:7077，如何解决？(语言-scala)

报错信息


[root@node1 conf]# cd /usr/local/spark-3.1.1-bin-hadoop3.2/bin
[root@node1 bin]# ./spark-shell
2024-05-12 16:00:57,124 WARN client.StandaloneAppClient$ClientEndpoint: Failed to connect to master node1:7077
org.apache.spark.SparkException: Exception thrown in awaitResult: 
        at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)
        at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:109)
        at org.apache.spark.deploy.client.StandaloneAppClient$ClientEndpoint$$anon$1.run(StandaloneAppClient.scala:107)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:750)
Caused by: java.io.IOException: Failed to connect to node1/192.168.17.200:7077
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:287)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:218)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:230)
        at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:204)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:202)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:198)
        ... 4 more
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: 拒绝连接: node1/192.168.17.200:7077
Caused by: java.net.ConnectException: 拒绝连接
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:715)
        at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330)
        at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:334)
        at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:702)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:650)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:576)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493)
        at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
        at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
        at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
        at java.lang.Thread.run(Thread.java:750)
2024-05-12 16:01:16,852 WARN client.StandaloneAppClient$ClientEndpoint: Failed to connect to master node1:7077
org.apache.spark.SparkException: Exception thrown in awaitResult: 
        at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)
        at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:109)
        at org.apache.spark.deploy.client.StandaloneAppClient$ClientEndpoint$$anon$1.run(StandaloneAppClient.scala:107)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:750)
Caused by: java.io.IOException: Failed to connect to node1/192.168.17.200:7077
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:287)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:218)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:230)
        at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:204)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:202)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:198)
        ... 4 more
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: 拒绝连接: node1/192.168.17.200:7077
Caused by: java.net.ConnectException: 拒绝连接
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:715)
        at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330)
        at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:334)
        at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:702)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:650)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:576)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493)
        at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
        at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
        at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
        at java.lang.Thread.run(Thread.java:750)
2024-05-12 16:01:36,852 WARN client.StandaloneAppClient$ClientEndpoint: Failed to connect to master node1:7077
org.apache.spark.SparkException: Exception thrown in awaitResult: 
        at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)
        at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:109)
        at org.apache.spark.deploy.client.StandaloneAppClient$ClientEndpoint$$anon$1.run(StandaloneAppClient.scala:107)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:750)
Caused by: java.io.IOException: Failed to connect to node1/192.168.17.200:7077
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:287)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:218)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:230)
        at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:204)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:202)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:198)
        ... 4 more
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: 拒绝连接: node1/192.168.17.200:7077
Caused by: java.net.ConnectException: 拒绝连接
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:715)
        at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330)
        at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:334)
        at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:702)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:650)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:576)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493)
        at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
        at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
        at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
        at java.lang.Thread.run(Thread.java:750)
2024-05-12 16:01:56,849 ERROR cluster.StandaloneSchedulerBackend: Application has been killed. Reason: All masters are unresponsive! Giving up.
2024-05-12 16:01:56,850 WARN cluster.StandaloneSchedulerBackend: Application ID is not initialized yet.
2024-05-12 16:01:57,070 WARN client.StandaloneAppClient$ClientEndpoint: Drop UnregisterApplication(null) because has not yet connected to master
2024-05-12 16:01:57,560 ERROR spark.SparkContext: Error initializing SparkContext.
java.lang.IllegalArgumentException: requirement failed: Can only call getServletHandlers on a running MetricsSystem
        at scala.Predef$.require(Predef.scala:281)
        at org.apache.spark.metrics.MetricsSystem.getServletHandlers(MetricsSystem.scala:92)
        at org.apache.spark.SparkContext.<init>(SparkContext.scala:597)
        at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2678)
        at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$2(SparkSession.scala:942)
        at scala.Option.getOrElse(Option.scala:189)
        at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:936)
        at org.apache.spark.repl.Main$.createSparkSession(Main.scala:106)
        at $line3.$read$$iw$$iw.<init>(<console>:15)
        at $line3.$read$$iw.<init>(<console>:42)
        at $line3.$read.<init>(<console>:44)
        at $line3.$read$.<init>(<console>:48)
        at $line3.$read$.<clinit>(<console>)
        at $line3.$eval$.$print$lzycompute(<console>:7)
        at $line3.$eval$.$print(<console>:6)
        at $line3.$eval.$print(<console>)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:745)
        at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1021)
        at scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:574)
        at scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:41)
        at scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:37)
        at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
        at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:600)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:570)
        at scala.tools.nsc.interpreter.IMain.$anonfun$quietRun$1(IMain.scala:224)
        at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
        at scala.tools.nsc.interpreter.IMain.quietRun(IMain.scala:224)
        at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$2(SparkILoop.scala:83)
        at scala.collection.immutable.List.foreach(List.scala:392)
        at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$1(SparkILoop.scala:83)
        at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
        at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:99)
        at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:83)
        at org.apache.spark.repl.SparkILoop.$anonfun$process$4(SparkILoop.scala:165)
        at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
        at scala.tools.nsc.interpreter.ILoop.$anonfun$mumly$1(ILoop.scala:168)
        at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
        at scala.tools.nsc.interpreter.ILoop.mumly(ILoop.scala:165)
        at org.apache.spark.repl.SparkILoop.loopPostInit$1(SparkILoop.scala:153)
        at org.apache.spark.repl.SparkILoop.$anonfun$process$10(SparkILoop.scala:221)
        at org.apache.spark.repl.SparkILoop.withSuppressedSettings$1(SparkILoop.scala:189)
        at org.apache.spark.repl.SparkILoop.startup$1(SparkILoop.scala:201)
        at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:236)
        at org.apache.spark.repl.Main$.doMain(Main.scala:78)
        at org.apache.spark.repl.Main$.main(Main.scala:58)
        at org.apache.spark.repl.Main.main(Main.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
        at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)
        at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
        at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
        at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
        at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1030)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1039)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
2024-05-12 16:01:57,561 ERROR repl.Main: Failed to initialize Spark session.
java.lang.IllegalArgumentException: requirement failed: Can only call getServletHandlers on a running MetricsSystem
        at scala.Predef$.require(Predef.scala:281)
        at org.apache.spark.metrics.MetricsSystem.getServletHandlers(MetricsSystem.scala:92)
        at org.apache.spark.SparkContext.<init>(SparkContext.scala:597)
        at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2678)
        at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$2(SparkSession.scala:942)
        at scala.Option.getOrElse(Option.scala:189)
        at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:936)
        at org.apache.spark.repl.Main$.createSparkSession(Main.scala:106)
        at $line3.$read$$iw$$iw.<init>(<console>:15)
        at $line3.$read$$iw.<init>(<console>:42)
        at $line3.$read.<init>(<console>:44)
        at $line3.$read$.<init>(<console>:48)
        at $line3.$read$.<clinit>(<console>)
        at $line3.$eval$.$print$lzycompute(<console>:7)
        at $line3.$eval$.$print(<console>:6)
        at $line3.$eval.$print(<console>)
        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 scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:745)
        at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1021)
        at scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:574)
        at scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:41)
        at scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:37)
        at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
        at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:600)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:570)
        at scala.tools.nsc.interpreter.IMain.$anonfun$quietRun$1(IMain.scala:224)
        at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
        at scala.tools.nsc.interpreter.IMain.quietRun(IMain.scala:224)
        at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$2(SparkILoop.scala:83)
        at scala.collection.immutable.List.foreach(List.scala:392)
        at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$1(SparkILoop.scala:83)
        at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
        at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:99)
        at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:83)
        at org.apache.spark.repl.SparkILoop.$anonfun$process$4(SparkILoop.scala:165)
        at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
        at scala.tools.nsc.interpreter.ILoop.$anonfun$mumly$1(ILoop.scala:168)
        at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
        at scala.tools.nsc.interpreter.ILoop.mumly(ILoop.scala:165)
        at org.apache.spark.repl.SparkILoop.loopPostInit$1(SparkILoop.scala:153)
        at org.apache.spark.repl.SparkILoop.$anonfun$process$10(SparkILoop.scala:221)
        at org.apache.spark.repl.SparkILoop.withSuppressedSettings$1(SparkILoop.scala:189)
        at org.apache.spark.repl.SparkILoop.startup$1(SparkILoop.scala:201)
        at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:236)
        at org.apache.spark.repl.Main$.doMain(Main.scala:78)
        at org.apache.spark.repl.Main$.main(Main.scala:58)
        at org.apache.spark.repl.Main.main(Main.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 org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
        at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)
        at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
        at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
        at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
        at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1030)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1039)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

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笑面虎 2024-05-12 16:09
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以下内容由CHATGPT及笑面虎共同生成、有用望采纳：

您想要解决的问题

您想要解决的问题是启动 spark-shell 时遇到的错误，具体来说是无法连接到主节点（master node）的7077端口。

问题出现原因

根据您提供的错误信息，这个问题的原因可能是：

Spark集群的主节点没有运行，或者没有正确配置。
网络问题导致无法连接到指定的IP地址和端口。
防火墙或安全组设置阻止了对7077端口的访问。

问题解决方案

为了解决这个问题，您可以尝试以下步骤：

确认Spark集群状态：确保Spark集群的主节点正在运行，并且spark.master配置正确。
检查网络连接：确认node1的IP地址192.168.17.200是正确的，并且从您尝试启动spark-shell的机器可以ping通这个IP地址。
检查防火墙设置：确保没有防火墙规则阻止了对node1的7077端口的访问。
检查Spark配置：确认spark-env.sh和spark-defaults.conf中的配置没有错误，特别是与网络相关的配置。

提供代码

如果您需要修改Spark的配置，以下是一些示例代码片段，您可以根据自己的环境进行调整：

spark-env.sh

export SPARK_MASTER_HOST=node1 export SPARK_MASTER_PORT=7077

spark-defaults.conf

spark.master spark://node1:7077

代码运行方式

根据您的环境修改上述配置文件。
将修改后的配置文件放置在Spark的conf目录下。
重新启动Spark集群的主节点和工作节点。
再次尝试启动spark-shell。

代码预期运行结果

如果上述步骤正确执行，您应该能够成功启动spark-shell而不会遇到连接错误。

推荐相关链接

Apache Spark 官方文档
Spark Standalone 模式配置
Spark 网络配置
Spark 常见问题解答
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BLADCS的博客 spark输入spark-shell --master spark://node01:7077报链接错误 [root@node01 spark-2.4.5]# spark-shell --master spark://node01:7077 20/03/23 09:12:56 WARN NativeCodeLoader: Unable to load native-hadoop ...
Spark 读取 Hive 数据报错 NoSuchMethodError : org.apache.spark.sql.catalyst.catalog.SessionCatalog hive spark 大数据
2022-12-15 15:54

回答 1 已采纳 22/12/15 15:32:44 INFO SparkContext: Invoking stop() from shutdown hook集群资源不足，且动态资源分配申请的executors、内存
大数据，spark ，doris mysql spark 大数据
2023-01-17 22:05

回答 2 已采纳这是一个连接Doris服务器失败的错误，具体原因可能是Doris服务器无法连接或网络故障导致的。
如何在IntelliJ IDEA中安装完scala后，spark包报红？ intellij-idea spark
2022-04-19 11:52

回答 2 已采纳依赖和依赖的版本都要对上
进入spark-shell报错
2020-04-10 19:37

习惯了一个人面对所有的博客进入spark-shell总是报一大堆错才能进去 Unable to load native-hadoop library for your platform… using builtin-java classes where applicable To adjust logging level use sc.setLogLevel(newLevel). For ...
java-scala测试程序，提示Cannot resolve overloaded method 'setJars'。 intellij-idea scala
2021-11-12 11:35

回答 2 已采纳你这个好像不对变量声明方式：https://www.runoob.com/scala/scala-variables.html
Atlas关联spark插件编译报错大数据
2023-01-17 10:39

回答 3 已采纳这个是github上个人维护的spark-aql勾子程序,你的问题应该是设置高版本的spark和scala,造成了一些版本冲突,而且高版本中许多类都更新过了,当然找不到.(1)<import o
spark导报上传报错 scala spark 大数据
2022-10-21 10:28

回答 2 已采纳命令的问题吧，./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn --deploy-mode clus
Spark(cloudera manager)命令笔录（1）-spark-shell
2020-07-07 17:33

提莫_的博客 Spark基础概念方法讲解 1. 代码+案例详解：使用Spark处理大数据最全指南（上） https://www.jianshu.com/p/826c16298ca6 2. 代码+案例详解：使用Spark处理大数据最全指南（下） ...
spark 调用SparkPi时，显示拒绝连接 hadoop spark 大数据
2023-03-15 15:46

回答 1 已采纳这篇文章：spark 运行自带样例SparkPi、spark-examples报错也许有你想要的答案，你可以看看
java main 异常 shell,centos7-发出spark shell命令：java.io.IOException异常：无法创建文件客户端...
2021-04-17 04:52

烤鸭了没的博客我在执行spark shell命令时遇到一些问题：[mapr@node1 ~]$ /opt/mapr/spark/spark-2.1.0/bin/spark-shell --master local[2]错误：20/05/02 14:21:34 ERROR SparkContext: Error initializing SparkContext.java.io....
【大数据开发运维解决方案】Hadoop2.7.6+Spark2.4.4+Scala2.11.12+Hudi0.5.2单机伪分布式安装
2020-03-31 01:56

赵延东的一亩三分地的博客一、安装spark依赖的Scala 因为其他版本的Spark都是基于2.11.版本,只有2.4.2版本的才使用Scala2.12. 版本进行开发，hudi官方用的是spark2.4.4，所以这里我们下载scala2.11.12。 1.1 下载和解压缩Scala 下载地址： ...
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spark-shell启动失败报错 Failed to connect to master node1:7077，如何解决？(语言-scala)

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