Spark 本地模式
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本地模式极大简化了我们的测试步骤
其实很简单，如下：
package wordcountimport org.apache.spark.{SparkConf, SparkContext}object ForeachDemo { def main(args: Array[String]): Unit = { /*local[2]表示启动本地二个进程，local一个进程*/ val conf=new SparkConf().setAppName("ForeachDemo").setMaster("local") val sc=new SparkContext(conf) val rdd=sc.parallelize(List(1,2,3,4,5,6,7,8,9),3) rdd.foreach(println(_)) sc.stop() }}maven 的配置pom.xml
<?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/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>cn.yzx.wordcount</groupId> <artifactId>wordcount</artifactId> <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>${hadoop.version}</version> </dependency> </dependencies> <build> <sourceDirectory>src/main/scala</sourceDirectory> <testSourceDirectory>src/test/scala</testSourceDirectory> <plugins> <plugin> <groupId>net.alchim31.maven</groupId> <artifactId>scala-maven-plugin</artifactId> <version>3.2.2</version> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> <configuration> <args> <arg>-make:transitive</arg> <arg>-dependencyfile</arg> <arg>${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> <transformers> <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer"> <mainClass>cn.yzx.WordCount</mainClass> </transformer> </transformers> </configuration> </execution> </executions> </plugin> </plugins> </build></project>结果
D:\jdk1.8\bin\java "-javaagent:G:\yzx\Scala\IDEA-2017-2-1_install\IntelliJ IDEA Community Edition 2017.2.1\lib\idea_rt.jar=43930:G:\yzx\Scala\IDEA-2017-2-1_install\IntelliJ IDEA Community Edition 2017.2.1\bin" -Dfile.encoding=UTF-8 -classpath D:\jdk1.8\jre\lib\charsets.jar;D:\jdk1.8\jre\lib\deploy.jar;D:\jdk1.8\jre\lib\ext\access-bridge-64.jar;D:\jdk1.8\jre\lib\ext\cldrdata.jar;D:\jdk1.8\jre\lib\ext\dnsns.jar;D:\jdk1.8\jre\lib\ext\jaccess.jar;D:\jdk1.8\jre\lib\ext\jfxrt.jar;D:\jdk1.8\jre\lib\ext\localedata.jar;D:\jdk1.8\jre\lib\ext\nashorn.jar;D:\jdk1.8\jre\lib\ext\sunec.jar;D:\jdk1.8\jre\lib\ext\sunjce_provider.jar;D:\jdk1.8\jre\lib\ext\sunmscapi.jar;D:\jdk1.8\jre\lib\ext\sunpkcs11.jar;D:\jdk1.8\jre\lib\ext\zipfs.jar;D:\jdk1.8\jre\lib\javaws.jar;D:\jdk1.8\jre\lib\jce.jar;D:\jdk1.8\jre\lib\jfr.jar;D:\jdk1.8\jre\lib\jfxswt.jar;D:\jdk1.8\jre\lib\jsse.jar;D:\jdk1.8\jre\lib\management-agent.jar;D:\jdk1.8\jre\lib\plugin.jar;D:\jdk1.8\jre\lib\resources.jar;D:\jdk1.8\jre\lib\rt.jar;G:\yzx\Scala\Wordcount\target\classes;C:\Users\admin\.m2\repository\org\scala-lang\scala-library\2.10.6\scala-library-2.10.6.jar;C:\Users\admin\.m2\repository\org\apache\spark\spark-core_2.10\1.6.1\spark-core_2.10-1.6.1.jar;C:\Users\admin\.m2\repository\org\apache\avro\avro-mapred\1.7.7\avro-mapred-1.7.7-hadoop2.jar;C:\Users\admin\.m2\repository\org\apache\avro\avro-ipc\1.7.7\avro-ipc-1.7.7.jar;C:\Users\admin\.m2\repository\org\apache\avro\avro-ipc\1.7.7\avro-ipc-1.7.7-tests.jar;C:\Users\admin\.m2\repository\org\codehaus\jackson\jackson-core-asl\1.9.13\jackson-core-asl-1.9.13.jar;C:\Users\admin\.m2\repository\org\codehaus\jackson\jackson-mapper-asl\1.9.13\jackson-mapper-asl-1.9.13.jar;C:\Users\admin\.m2\repository\com\twitter\chill_2.10\0.5.0\chill_2.10-0.5.0.jar;C:\Users\admin\.m2\repository\com\esotericsoftware\kryo\kryo\2.21\kryo-2.21.jar;C:\Users\admin\.m2\repository\com\esotericsoftware\reflectasm\reflectasm\1.07\reflectasm-1.07-shaded.jar;C:\Users\admin\.m2\repository\com\esotericsoftware\minlog\minlog\1.2\minlog-1.2.jar;C:\Users\admin\.m2\repository\org\objenesis\objenesis\1.2\objenesis-1.2.jar;C:\Users\admin\.m2\repository\com\twitter\chill-java\0.5.0\chill-java-0.5.0.jar;C:\Users\admin\.m2\repository\org\apache\xbean\xbean-asm5-shaded\4.4\xbean-asm5-shaded-4.4.jar;C:\Users\admin\.m2\repository\org\apache\spark\spark-launcher_2.10\1.6.1\spark-launcher_2.10-1.6.1.jar;C:\Users\admin\.m2\repository\org\apache\spark\spark-network-common_2.10\1.6.1\spark-network-common_2.10-1.6.1.jar;C:\Users\admin\.m2\repository\org\apache\spark\spark-network-shuffle_2.10\1.6.1\spark-network-shuffle_2.10-1.6.1.jar;C:\Users\admin\.m2\repository\org\fusesource\leveldbjni\leveldbjni-all\1.8\leveldbjni-all-1.8.jar;C:\Users\admin\.m2\repository\com\fasterxml\jackson\core\jackson-annotations\2.4.4\jackson-annotations-2.4.4.jar;C:\Users\admin\.m2\repository\org\apache\spark\spark-unsafe_2.10\1.6.1\spark-unsafe_2.10-1.6.1.jar;C:\Users\admin\.m2\repository\net\java\dev\jets3t\jets3t\0.7.1\jets3t-0.7.1.jar;C:\Users\admin\.m2\repository\commons-codec\commons-codec\1.3\commons-codec-1.3.jar;C:\Users\admin\.m2\repository\commons-httpclient\commons-httpclient\3.1\commons-httpclient-3.1.jar;C:\Users\admin\.m2\repository\org\apache\curator\curator-recipes\2.4.0\curator-recipes-2.4.0.jar;C:\Users\admin\.m2\repository\org\apache\curator\curator-framework\2.4.0\curator-framework-2.4.0.jar;C:\Users\admin\.m2\repository\org\apache\zookeeper\zookeeper\3.4.5\zookeeper-3.4.5.jar;C:\Users\admin\.m2\repository\jline\jline\0.9.94\jline-0.9.94.jar;C:\Users\admin\.m2\repository\com\google\guava\guava\14.0.1\guava-14.0.1.jar;C:\Users\admin\.m2\repository\org\eclipse\jetty\orbit\javax.servlet\3.0.0.v201112011016\javax.servlet-3.0.0.v201112011016.jar;C:\Users\admin\.m2\repository\org\apache\commons\commons-lang3\3.3.2\commons-lang3-3.3.2.jar;C:\Users\admin\.m2\repository\org\apache\commons\commons-math3\3.4.1\commons-math3-3.4.1.jar;C:\Users\admin\.m2\repository\com\google\code\findbugs\jsr305\1.3.9\jsr305-1.3.9.jar;C:\Users\admin\.m2\repository\org\slf4j\slf4j-api\1.7.10\slf4j-api-1.7.10.jar;C:\Users\admin\.m2\repository\org\slf4j\jul-to-slf4j\1.7.10\jul-to-slf4j-1.7.10.jar;C:\Users\admin\.m2\repository\org\slf4j\jcl-over-slf4j\1.7.10\jcl-over-slf4j-1.7.10.jar;C:\Users\admin\.m2\repository\log4j\log4j\1.2.17\log4j-1.2.17.jar;C:\Users\admin\.m2\repository\org\slf4j\slf4j-log4j12\1.7.10\slf4j-log4j12-1.7.10.jar;C:\Users\admin\.m2\repository\com\ning\compress-lzf\1.0.3\compress-lzf-1.0.3.jar;C:\Users\admin\.m2\repository\org\xerial\snappy\snappy-java\1.1.2\snappy-java-1.1.2.jar;C:\Users\admin\.m2\repository\net\jpountz\lz4\lz4\1.3.0\lz4-1.3.0.jar;C:\Users\admin\.m2\repository\org\roaringbitmap\RoaringBitmap\0.5.11\RoaringBitmap-0.5.11.jar;C:\Users\admin\.m2\repository\commons-net\commons-net\2.2\commons-net-2.2.jar;C:\Users\admin\.m2\repository\com\typesafe\akka\akka-remote_2.10\2.3.11\akka-remote_2.10-2.3.11.jar;C:\Users\admin\.m2\repository\com\typesafe\akka\akka-actor_2.10\2.3.11\akka-actor_2.10-2.3.11.jar;C:\Users\admin\.m2\repository\com\typesafe\config\1.2.1\config-1.2.1.jar;C:\Users\admin\.m2\repository\io\netty\netty\3.8.0.Final\netty-3.8.0.Final.jar;C:\Users\admin\.m2\repository\com\google\protobuf\protobuf-java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wordcount.ForeachDemoUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties17/08/23 23:08:31 INFO SparkContext: Running Spark version 1.6.117/08/23 23:08:32 INFO SecurityManager: Changing view acls to: admin17/08/23 23:08:32 INFO SecurityManager: Changing modify acls to: admin17/08/23 23:08:32 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(admin); users with modify permissions: Set(admin)17/08/23 23:08:34 INFO Utils: Successfully started service 'sparkDriver' on port 43953.17/08/23 23:08:34 INFO Slf4jLogger: Slf4jLogger started17/08/23 23:08:34 INFO Remoting: Starting remoting17/08/23 23:08:35 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.8.199:43967]17/08/23 23:08:35 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 43967.17/08/23 23:08:35 INFO SparkEnv: Registering MapOutputTracker17/08/23 23:08:35 INFO SparkEnv: Registering BlockManagerMaster17/08/23 23:08:35 INFO DiskBlockManager: Created local directory at C:\Users\admin\AppData\Local\Temp\blockmgr-6279ac88-3d88-4f46-a6fb-dc372d3c6d5f17/08/23 23:08:35 INFO MemoryStore: MemoryStore started with capacity 1087.1 MB17/08/23 23:08:35 INFO SparkEnv: Registering OutputCommitCoordinator17/08/23 23:08:36 INFO Utils: Successfully started service 'SparkUI' on port 4040.17/08/23 23:08:36 INFO SparkUI: Started SparkUI at http://192.168.8.199:404017/08/23 23:08:36 INFO Executor: Starting executor ID driver on host localhost17/08/23 23:08:36 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 43974.17/08/23 23:08:36 INFO NettyBlockTransferService: Server created on 4397417/08/23 23:08:36 INFO BlockManagerMaster: Trying to register BlockManager17/08/23 23:08:36 INFO BlockManagerMasterEndpoint: Registering block manager localhost:43974 with 1087.1 MB RAM, BlockManagerId(driver, localhost, 43974)17/08/23 23:08:36 INFO BlockManagerMaster: Registered BlockManager17/08/23 23:08:37 INFO SparkContext: Starting job: foreach at ForeachDemo.scala:1117/08/23 23:08:37 INFO DAGScheduler: Got job 0 (foreach at ForeachDemo.scala:11) with 3 output partitions17/08/23 23:08:37 INFO DAGScheduler: Final stage: ResultStage 0 (foreach at ForeachDemo.scala:11)17/08/23 23:08:37 INFO DAGScheduler: Parents of final stage: List()17/08/23 23:08:37 INFO DAGScheduler: Missing parents: List()17/08/23 23:08:37 INFO DAGScheduler: Submitting ResultStage 0 (ParallelCollectionRDD[0] at parallelize at ForeachDemo.scala:10), which has no missing parents17/08/23 23:08:37 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 1184.0 B, free 1184.0 B)17/08/23 23:08:37 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 864.0 B, free 2.0 KB)17/08/23 23:08:37 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:43974 (size: 864.0 B, free: 1087.1 MB)17/08/23 23:08:37 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:100617/08/23 23:08:37 INFO DAGScheduler: Submitting 3 missing tasks from ResultStage 0 (ParallelCollectionRDD[0] at parallelize at ForeachDemo.scala:10)17/08/23 23:08:37 INFO TaskSchedulerImpl: Adding task set 0.0 with 3 tasks17/08/23 23:08:38 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, partition 0,PROCESS_LOCAL, 2030 bytes)17/08/23 23:08:38 INFO Executor: Running task 0.0 in stage 0.0 (TID 0)12317/08/23 23:08:38 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 915 bytes result sent to driver17/08/23 23:08:38 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, localhost, partition 1,PROCESS_LOCAL, 2030 bytes)17/08/23 23:08:38 INFO Executor: Running task 1.0 in stage 0.0 (TID 1)45617/08/23 23:08:38 INFO Executor: Finished task 1.0 in stage 0.0 (TID 1). 915 bytes result sent to driver17/08/23 23:08:38 INFO TaskSetManager: Starting task 2.0 in stage 0.0 (TID 2, localhost, partition 2,PROCESS_LOCAL, 2030 bytes)17/08/23 23:08:38 INFO Executor: Running task 2.0 in stage 0.0 (TID 2)78917/08/23 23:08:38 INFO Executor: Finished task 2.0 in stage 0.0 (TID 2). 915 bytes result sent to driver17/08/23 23:08:38 INFO TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 30 ms on localhost (1/3)17/08/23 23:08:38 INFO TaskSetManager: Finished task 2.0 in stage 0.0 (TID 2) in 24 ms on localhost (2/3)17/08/23 23:08:38 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 141 ms on localhost (3/3)17/08/23 23:08:38 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 17/08/23 23:08:38 INFO DAGScheduler: ResultStage 0 (foreach at ForeachDemo.scala:11) finished in 0.167 s17/08/23 23:08:38 INFO DAGScheduler: Job 0 finished: foreach at ForeachDemo.scala:11, took 0.657865 s17/08/23 23:08:38 INFO SparkUI: Stopped Spark web UI at http://192.168.8.199:404017/08/23 23:08:38 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!17/08/23 23:08:38 INFO MemoryStore: MemoryStore cleared17/08/23 23:08:38 INFO BlockManager: BlockManager stopped17/08/23 23:08:38 INFO BlockManagerMaster: BlockManagerMaster stopped17/08/23 23:08:38 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!17/08/23 23:08:38 INFO SparkContext: Successfully stopped SparkContext17/08/23 23:08:38 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.17/08/23 23:08:38 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.17/08/23 23:08:38 INFO ShutdownHookManager: Shutdown hook called17/08/23 23:08:38 INFO ShutdownHookManager: Deleting directory C:\Users\admin\AppData\Local\Temp\spark-55bd74c6-d381-4b0f-a826-17bb9890d437Process finished with exit code 0
至此,本地模式跑成功
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