-classpath "C:\Program Files\Java\jdk1.8.0_131\jre\lib\charsets.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\deploy.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\access-bridge-64.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\cldrdata.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\dnsns.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\jaccess.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\jfxrt.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\localedata.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\nashorn.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\sunec.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\sunjce_provider.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\sunmscapi.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\sunpkcs11.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\ext\zipfs.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\javaws.jar;C:\Program Files\Java\jdk1.8.0_131\jre\lib\jce.jar;C:\Program 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-encoding\1.7.0\parquet-encoding-1.7.0.jar;F:\repository\org\apache\parquet\parquet-generator\1.7.0\parquet-generator-1.7.0.jar;F:\repository\org\apache\parquet\parquet-hadoop\1.7.0\parquet-hadoop-1.7.0.jar;F:\repository\org\apache\parquet\parquet-format\2.3.0-incubating\parquet-format-2.3.0-incubating.jar;F:\repository\org\apache\parquet\parquet-jackson\1.7.0\parquet-jackson-1.7.0.jar;F:\repository\mysql\mysql-connector-java\5.1.38\mysql-connector-java-5.1.38.jar;F:\repository\org\apache\spark\spark-streaming_2.10\1.5.2\spark-streaming_2.10-1.5.2.jar" day4.StreamingWordCount Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties // :: INFO LoggerLevels: Setting log level to [WARN] for streaming example. To override add a custom log4j.properties to the classpath. // :: ERROR Executor: Exception ) java.lang.NoSuchMethodError: org.apache.spark.util.ThreadUtils$.newDaemonCachedThreadPool(Ljava/lang/String;I)Ljava/util/concurrent/ThreadPoolExecutor; at org.apache.spark.streaming.receiver.ReceiverSupervisor.<init>(ReceiverSupervisor.scala:) at org.apache.spark.streaming.receiver.ReceiverSupervisorImpl.<init>(ReceiverSupervisorImpl.scala:) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$.apply(ReceiverTracker.scala:) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$.apply(ReceiverTracker.scala:) at org.apache.spark.SparkContext$$anonfun$.apply(SparkContext.scala:) at org.apache.spark.SparkContext$$anonfun$.apply(SparkContext.scala:) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:) at org.apache.spark.scheduler.Task.run(Task.scala:) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:) at java.lang.Thread.run(Thread.java:) // :: ERROR SparkUncaughtExceptionHandler: Uncaught exception ,,main] java.lang.NoSuchMethodError: org.apache.spark.util.ThreadUtils$.newDaemonCachedThreadPool(Ljava/lang/String;I)Ljava/util/concurrent/ThreadPoolExecutor; at org.apache.spark.streaming.receiver.ReceiverSupervisor.<init>(ReceiverSupervisor.scala:) at org.apache.spark.streaming.receiver.ReceiverSupervisorImpl.<init>(ReceiverSupervisorImpl.scala:) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$.apply(ReceiverTracker.scala:) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$.apply(ReceiverTracker.scala:) at org.apache.spark.SparkContext$$anonfun$.apply(SparkContext.scala:) at org.apache.spark.SparkContext$$anonfun$.apply(SparkContext.scala:) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:) at org.apache.spark.scheduler.Task.run(Task.scala:) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:) at java.lang.Thread.run(Thread.java:) // :: WARN TaskSetManager: Lost task , localhost): java.lang.NoSuchMethodError: org.apache.spark.util.ThreadUtils$.newDaemonCachedThreadPool(Ljava/lang/String;I)Ljava/util/concurrent/ThreadPoolExecutor; at org.apache.spark.streaming.receiver.ReceiverSupervisor.<init>(ReceiverSupervisor.scala:) at org.apache.spark.streaming.receiver.ReceiverSupervisorImpl.<init>(ReceiverSupervisorImpl.scala:) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$.apply(ReceiverTracker.scala:) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$.apply(ReceiverTracker.scala:) at org.apache.spark.SparkContext$$anonfun$.apply(SparkContext.scala:) at org.apache.spark.SparkContext$$anonfun$.apply(SparkContext.scala:) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:) at org.apache.spark.scheduler.Task.run(Task.scala:) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:) at java.lang.Thread.run(Thread.java:) // :: ERROR TaskSetManager: Task times; aborting job Process finished with exit code
在写sparkStreaming 的时候遇到了依赖的SparkStreaming版本和SparkCore的版本不一致的问题 报错
以前的 pom.xml文件如下:
<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>org.bianqi.spark.demo</groupId> <artifactId>Spark01</artifactId> <packaging>jar</packaging> <version>1.0-SNAPSHOT</version> <properties> <maven.compiler.source>1.7</maven.compiler.source> <maven.compiler.target>1.7</maven.compiler.target> <encoding>UTF-8</encoding> <scala.version>2.10.6</scala.version> <spark.version>1.6.1</spark.version> <hadoop.version>2.6.4</hadoop.version> </properties> <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>${scala.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>5.1.38</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.10</artifactId> <version>1.5.2</version> </dependency> </dependencies> <build> <sourceDirectory>src/main/scala</sourceDirectory> <testSourceDirectory>src/test/scala</testSourceDirectory> <plugins> <plugin> <groupId>net.alchim31.maven</groupId> <artifactId>scala-maven-plugin</artifactId> <version>3.2.2</version> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> <configuration> <args> <arg>-make:transitive</arg> <arg>-dependencyfile</arg> <arg>${project.build.directory}/.scala_dependencies</arg> </args> </configuration> </execution> </executions> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <version>2.4.3</version> <executions> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <filters> <filter> <artifact>*:*</artifact> <excludes> <exclude>META-INF/*.SF</exclude> <exclude>META-INF/*.DSA</exclude> <exclude>META-INF/*.RSA</exclude> </excludes> </filter> </filters> </configuration> </execution> </executions> </plugin> </plugins> </build> </project>
可以看到 sparkStreaming 和SparkCore的版本不一样 导致了 如上错误
修复方案: 修改pom.xml中的SparkStreaming的版本 如下图: 正常 运行 !
<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>org.bianqi.spark.demo</groupId> <artifactId>Spark01</artifactId> <packaging>jar</packaging> <version>1.0-SNAPSHOT</version> <properties> <maven.compiler.source>1.7</maven.compiler.source> <maven.compiler.target>1.7</maven.compiler.target> <encoding>UTF-8</encoding> <scala.version>2.10.6</scala.version> <spark.version>1.6.1</spark.version> <hadoop.version>2.6.4</hadoop.version> </properties> <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>${scala.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>5.1.38</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.10</artifactId> <version>${spark.version}</version> </dependency> </dependencies> <build> <sourceDirectory>src/main/scala</sourceDirectory> <testSourceDirectory>src/test/scala</testSourceDirectory> <plugins> <plugin> <groupId>net.alchim31.maven</groupId> <artifactId>scala-maven-plugin</artifactId> <version>3.2.2</version> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> <configuration> <args> <arg>-make:transitive</arg> <arg>-dependencyfile</arg> <arg>${project.build.directory}/.scala_dependencies</arg> </args> </configuration> </execution> </executions> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <version>2.4.3</version> <executions> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <filters> <filter> <artifact>*:*</artifact> <excludes> <exclude>META-INF/*.SF</exclude> <exclude>META-INF/*.DSA</exclude> <exclude>META-INF/*.RSA</exclude> </excludes> </filter> </filters> </configuration> </execution> </executions> </plugin> </plugins> </build> </project>
控制台代码正常 运行:
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