livy:scalaClient.submit使用scala api跑wordcount时,看着一切正常,但是spark程序没跑没有跑
时间:2019-01-17
本文章向大家介绍livy:scalaClient.submit使用scala api跑wordcount时,看着一切正常,但是spark程序没跑没有跑,主要包括livy:scalaClient.submit使用scala api跑wordcount时,看着一切正常,但是spark程序没跑没有跑使用实例、应用技巧、基本知识点总结和需要注意事项,具有一定的参考价值,需要的朋友可以参考一下。
问题分析:livy 的java API调用行得通,scala API调不通 ,而且一切日志比对正常,就是不报错,但是就是不跑!
scala代码参考:
import java.io.{File, FileNotFoundException} import java.net.URI import org.apache.livy.LivyClientBuilder import org.apache.livy.scalaapi.{LivyScalaClient, ScalaJobHandle} import org.apache.spark.storage.StorageLevel import scala.concurrent.{Await, Future} import scala.concurrent.duration._ import scala.language.postfixOps import org.apache.spark.{SparkConf, SparkContext} object Test { var scalaClient: LivyScalaClient = null def init(): Unit = { scalaClient = new LivyScalaClient(new LivyClientBuilder().setURI(new URI("http://XXXXXX:8998")).build()) } @throws(classOf[FileNotFoundException]) def uploadRelevantJarsForJobExecution(): Unit = { val scalaApiJarPath = getSourcePath(scalaClient) uploadJar("D:\\workspace\\ScalaDemo\\target\\original-ScalaDemo-1.0-SNAPSHOT.jar") uploadJar(scalaApiJarPath) } @throws(classOf[FileNotFoundException]) private def getSourcePath(obj: Object): String = { val source = obj.getClass.getProtectionDomain.getCodeSource if (source != null && source.getLocation.getPath != "") { source.getLocation.getPath } else { throw new FileNotFoundException(s"Jar containing ${obj.getClass.getName} not found.") } } private def uploadJar(path: String) = { val file = new File(path) val uploadJarFuture = scalaClient.uploadJar(file) Await.result(uploadJarFuture, 40 second) match { case null => println("Successfully uploaded " + file.getName) } } //ScalaJobHandle def processScWordCount() : ScalaJobHandle[String] = { //必须要返回ScalaJobHandle[String] scalaClient.submit({ fn => { val sc = fn.sc val res = sc.textFile("hdfs://xxxx:8020//xxx/livyInput/word.txt").flatMap(_.split(" ")).map((_, 1)).reduceByKey(_ + _) res.saveAsTextFile("hdfs://xxxxx:8020/xxx/livyInput/out000") val s = res.collect().apply(1).toString() s //返回结果,可以为任意字符串 } }) } private def stopClient(): Unit = { if (scalaClient != null) { scalaClient.stop(true) scalaClient = null; } } def main(args: Array[String]): Unit = { try { init() uploadRelevantJarsForJobExecution() println("Calling processStreamingWordCount") val handle1 = processScWordCount() Await.result(handle1, 100 second) //###必须要有,否则不跑 } finally { stopClient() } } }
pom.xml依赖
<?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>xxxx</groupId> <artifactId>ScalaDemo</artifactId> <version>1.0-SNAPSHOT</version> <name>ScalaDemo</name> <!-- FIXME change it to the project's website --> <url>http://www.example.com</url> <properties> <project.build.sourceEncoding>UTF8</project.build.sourceEncoding> <maven.compiler.source>1.8</maven.compiler.source> <maven.compiler.target>1.8</maven.compiler.target> <encoding>UTF-8</encoding> <scala.version>2.11.8</scala.version> <spark.version>2.0.0</spark.version> <hadoop.version>2.6.0</hadoop.version> <scala.compat.version>2.11</scala.compat.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_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.11</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.livy</groupId> <artifactId>livy-client-http</artifactId> <version>0.5.0-incubating</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.livy/livy-scala-api --> <dependency> <groupId>org.apache.livy</groupId> <artifactId>livy-scala-api_2.11</artifactId> <version>0.5.0-incubating</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.11</artifactId> <version>${spark.version}</version> <exclusions> <exclusion> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> </exclusion> </exclusions> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.12</version> <scope>test</scope> </dependency> </dependencies> <build> <pluginManagement> <plugins> <plugin> <groupId>net.alchim31.maven</groupId> <artifactId>scala-maven-plugin</artifactId> <version>3.2.2</version> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>3.5.1</version> </plugin> </plugins> </pluginManagement> <plugins> <plugin> <groupId>net.alchim31.maven</groupId> <artifactId>scala-maven-plugin</artifactId> <executions> <execution> <id>scala-compile-first</id> <phase>process-resources</phase> <goals> <goal>add-source</goal> <goal>compile</goal> </goals> </execution> <execution> <id>scala-test-compile</id> <phase>process-test-resources</phase> <goals> <goal>testCompile</goal> </goals> </execution> </executions> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <executions> <execution> <phase>compile</phase> <goals> <goal>compile</goal> </goals> </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>
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