flink第一个demo

其他 2019-11-22 00:01:21 阅读次数: 0

在没有安装flink的情况下，试运行 wordcount 代码。
代码如下：

package bigdata.batch;

import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.util.Collector;

/**
 * 统计单次词频
 */
public class WordCount {
    public static void main(String[] args) throws Exception {
        //解析命令行参数
        ParameterTool params = ParameterTool.fromArgs(args);
        
        //获取一个执行环境：自动识别本地环境or 集群环境
        ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
        DataSet<String> dataSet;
        if(params.has("input")){
            dataSet   = env.readTextFile(params.get("input"));
        } else {
            dataSet = WordCountData.getDefaultTextLineDataSet(env);
        }

        // 单次词频统计
        DataSet<Tuple2<String, Integer>> counts = dataSet.flatMap(new Tokenizer())
                .groupBy(0)
                .sum(1);

        if(params.has("input")){
            //数据输出格式为csv格式
            counts.writeAsCsv(params.get("output"), "\n", " ");

            //提交执行flink应用
            env.execute("wordcount example");
        } else {
            // 打印数据到控制台， 内部封装了 evn.execute() 方法
            counts.print();
        }
    }

    public static final class Tokenizer implements FlatMapFunction<String, Tuple2<String,Integer>>{

        @Override
        public void flatMap(String value, Collector<Tuple2<String, Integer>> out) throws Exception {
            // 正则表达式 \W ： 匹配任务非单次字符
            String[] tokens = value.toLowerCase().split("\\W+");
            for (String token:tokens){
                out.collect(new Tuple2<>(token,1));
            }
        }
    }
}

　　

POM文件如下：

<!--
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License.  You may obtain a copy of the License at

  http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
-->
<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>com.dtwave</groupId>
	<artifactId>learning-flink</artifactId>
	<version>1.0</version>
	<packaging>jar</packaging>

	<name>Flink Quickstart Job</name>
	<url>http://www.myorganization.org</url>

	<properties>
		<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
		<flink.version>1.9.1</flink.version>
		<java.version>1.8</java.version>
		<scala.binary.version>2.12</scala.binary.version>
		<maven.compiler.source>${java.version}</maven.compiler.source>
		<maven.compiler.target>${java.version}</maven.compiler.target>
	</properties>

	<repositories>
		<repository>
			<id>apache.snapshots</id>
			<name>Apache Development Snapshot Repository</name>
			<url>https://repository.apache.org/content/repositories/snapshots/</url>
			<releases>
				<enabled>false</enabled>
			</releases>
			<snapshots>
				<enabled>true</enabled>
			</snapshots>
		</repository>
	</repositories>

	<dependencies>
		<!-- Apache Flink dependencies -->
		<!-- These dependencies are provided, because they should not be packaged into the JAR file. -->
		<dependency>
			<groupId>org.apache.flink</groupId>
			<artifactId>flink-java</artifactId>
			<version>1.9.1</version>
		</dependency>
		<dependency>
			<groupId>org.apache.flink</groupId>
			<artifactId>flink-java</artifactId>
			<version>${flink.version}</version>
			<scope>compile</scope>
		</dependency>
		<dependency>
			<groupId>org.apache.flink</groupId>
			<artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
			<version>${flink.version}</version>
			<scope>provided</scope>
		</dependency>

		<dependency>
			<groupId>org.apache.flink</groupId>
			<artifactId>flink-clients_2.12</artifactId>
			<version>1.9.1</version>
			<scope>compile</scope>
		</dependency>

		<!-- Add connector dependencies here. They must be in the default scope (compile). -->

		<!-- Example:

		<dependency>
			<groupId>org.apache.flink</groupId>
			<artifactId>flink-connector-kafka-0.10_${scala.binary.version}</artifactId>
			<version>${flink.version}</version>
		</dependency>
		-->

		<!-- Add logging framework, to produce console output when running in the IDE. -->
		<!-- These dependencies are excluded from the application JAR by default. -->
		<dependency>
			<groupId>org.slf4j</groupId>
			<artifactId>slf4j-log4j12</artifactId>
			<version>1.7.7</version>
			<scope>runtime</scope>
		</dependency>
		<dependency>
			<groupId>log4j</groupId>
			<artifactId>log4j</artifactId>
			<version>1.2.17</version>
			<scope>runtime</scope>
		</dependency>
	</dependencies>

	<build>
		<plugins>

			<!-- Java Compiler -->
			<plugin>
				<groupId>org.apache.maven.plugins</groupId>
				<artifactId>maven-compiler-plugin</artifactId>
				<version>3.1</version>
				<configuration>
					<source>${java.version}</source>
					<target>${java.version}</target>
				</configuration>
			</plugin>

			<!-- We use the maven-shade plugin to create a fat jar that contains all necessary dependencies. -->
			<!-- Change the value of <mainClass>...</mainClass> if your program entry point changes. -->
			<plugin>
				<groupId>org.apache.maven.plugins</groupId>
				<artifactId>maven-shade-plugin</artifactId>
				<version>3.0.0</version>
				<executions>
					<!-- Run shade goal on package phase -->
					<execution>
						<phase>package</phase>
						<goals>
							<goal>shade</goal>
						</goals>
						<configuration>
							<artifactSet>
								<excludes>
									<exclude>org.apache.flink:force-shading</exclude>
									<exclude>com.google.code.findbugs:jsr305</exclude>
									<exclude>org.slf4j:*</exclude>
									<exclude>log4j:*</exclude>
								</excludes>
							</artifactSet>
							<filters>
								<filter>
									<!-- Do not copy the signatures in the META-INF folder.
									Otherwise, this might cause SecurityExceptions when using the JAR. -->
									<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>bigdata.StreamingJob</mainClass>
								</transformer>
							</transformers>
						</configuration>
					</execution>
				</executions>
			</plugin>
		</plugins>

		<pluginManagement>
			<plugins>

				<!-- This improves the out-of-the-box experience in Eclipse by resolving some warnings. -->
				<plugin>
					<groupId>org.eclipse.m2e</groupId>
					<artifactId>lifecycle-mapping</artifactId>
					<version>1.0.0</version>
					<configuration>
						<lifecycleMappingMetadata>
							<pluginExecutions>
								<pluginExecution>
									<pluginExecutionFilter>
										<groupId>org.apache.maven.plugins</groupId>
										<artifactId>maven-shade-plugin</artifactId>
										<versionRange>[3.0.0,)</versionRange>
										<goals>
											<goal>shade</goal>
										</goals>
									</pluginExecutionFilter>
									<action>
										<ignore/>
									</action>
								</pluginExecution>
								<pluginExecution>
									<pluginExecutionFilter>
										<groupId>org.apache.maven.plugins</groupId>
										<artifactId>maven-compiler-plugin</artifactId>
										<versionRange>[3.1,)</versionRange>
										<goals>
											<goal>testCompile</goal>
											<goal>compile</goal>
										</goals>
									</pluginExecutionFilter>
									<action>
										<ignore/>
									</action>
								</pluginExecution>
							</pluginExecutions>
						</lifecycleMappingMetadata>
					</configuration>
				</plugin>
			</plugins>
		</pluginManagement>
	</build>

	<!-- This profile helps to make things run out of the box in IntelliJ -->
	<!-- Its adds Flink's core classes to the runtime class path. -->
	<!-- Otherwise they are missing in IntelliJ, because the dependency is 'provided' -->
	<profiles>
		<profile>
			<id>add-dependencies-for-IDEA</id>

			<activation>
				<property>
					<name>idea.version</name>
				</property>
			</activation>

			<dependencies>
				<dependency>
					<groupId>org.apache.flink</groupId>
					<artifactId>flink-java</artifactId>
					<version>${flink.version}</version>
					<scope>compile</scope>
				</dependency>
				<dependency>
					<groupId>org.apache.flink</groupId>
					<artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
					<version>${flink.version}</version>
					<scope>compile</scope>
				</dependency>
			</dependencies>
		</profile>
	</profiles>

</project>

　　

通过上面的pom，可以编译打包通过（mvn clean compile）,但是运行时报错：
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/flink/api/java/DataSet

原因在于，如下依赖的scope时候 provided， 即 仅仅在编译、测试阶段使用该依赖，运行时没有该依赖，该依赖由环境提供。

<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>

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flink-client 依赖也得是 compile，不然报错:
Could not load the executor class (org.apache.flink.client.LocalExecutor). Do you have the 'flink-clients' project in your dependencies?

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_2.12</artifactId>
<version>1.9.1</version>
<scope>compile</scope>
</dependency>

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