Flink基础（五）：DS简介(5) 开发环境准备以及编写第一个Flink程序

1 在IDEA中编写Flink程序

Scala版Flink程序编写

本项目使用的Flink版本为最新版本，也就是1.11.0。现在提供maven项目的配置文件。

  1. 使用Intellij IDEA创建一个Maven新项目
  2. 勾选Create from archetype，然后点击Add Archetype按钮
  3. GroupId中输入org.apache.flink，ArtifactId中输入flink-quickstart-scala，Version中输入1.11.0，然后点击OK
  4. 点击向右箭头，出现下拉列表，选中flink-quickstart-scala:1.11.0，点击Next
  5. Name中输入FlinkTutorial，GroupId中输入com.atguigu，ArtifactId中输入FlinkTutorial，点击Next
  6. 最好使用IDEA默认的Maven工具：Bundled（Maven 3），点击Finish，等待一会儿，项目就创建好了

编写WordCount.scala程序

import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.api.windowing.time.Time

object StreamingJob {

  /** Main program method */
  def main(args: Array[String]) : Unit = {

    // get the execution environment
    StreamExecutionEnvironment env: StreamExecutionEnvironment = StreamExecutionEnvironment
      .getExecutionEnvironment

    // get input data by connecting to the socket
    val text: DataStream[String] = env
      .socketTextStream("localhost", 9999, '\n')

    // parse the data, group it, window it, and aggregate the counts
    val windowCounts = text
      .flatMap { w => w.split("\\s") }
      .map { w => WordWithCount(w, 1) }
      .keyBy("word")
      .timeWindow(Time.seconds(5))
      .sum("count")

    // print the results with a single thread, rather than in parallel
    windowCounts
      .print()
      .setParallelism(1)

    env.execute("Socket Window WordCount")
  }

  /** Data type for words with count */
  case class WordWithCount(word: String, count: Long)
}

打开一个终端（Terminal），运行以下命令

$ nc -lk 9999

接下来使用IDEA运行就可以了。

Java版Flink程序编写

  1. 使用Intellij IDEA创建一个Maven新项目
  2. 勾选Create from archetype，然后点击Add Archetype按钮
  3. GroupId中输入org.apache.flink，ArtifactId中输入flink-quickstart-java，Version中输入1.14.4，然后点击OK
  4. 点击向右箭头，出现下拉列表，选中flink-quickstart-java:1.14.4，点击Next
  5. Name中输入FlinkTutorial，GroupId中输入com.atguigu，ArtifactId中输入FlinkTutorial，点击Next
  6. 最好使用IDEA默认的Maven工具：Bundled（Maven 3），点击Finish，等待一会儿，项目就创建好了

pom.xml

<!--
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>org.example</groupId>
    <artifactId>flink_test</artifactId>
    <version>1.0-SNAPSHOT</version>
    <packaging>jar</packaging>

    <name>Flink Quickstart Job</name>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <flink.version>1.14.4</flink.version>
        <target.java.version>1.8</target.java.version>
        <scala.binary.version>2.11</scala.binary.version>
        <maven.compiler.source>${target.java.version}</maven.compiler.source>
        <maven.compiler.target>${target.java.version}</maven.compiler.target>
        <log4j.version>2.17.1</log4j.version>
    </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>${flink.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-clients_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
            <scope>provided</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_${scala.binary.version}</artifactId>
            <version>${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.apache.logging.log4j</groupId>
            <artifactId>log4j-slf4j-impl</artifactId>
            <version>${log4j.version}</version>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-api</artifactId>
            <version>${log4j.version}</version>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-core</artifactId>
            <version>${log4j.version}</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>${target.java.version}</source>
                    <target>${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>3.1.1</version>
                <executions>
                    <!-- Run shade goal on package phase -->
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <artifactSet>
                                <excludes>
                                    <exclude>org.apache.flink:flink-shaded-force-shading</exclude>
                                    <exclude>com.google.code.findbugs:jsr305</exclude>
                                    <exclude>org.slf4j:*</exclude>
                                    <exclude>org.apache.logging.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>org.example.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>[3.1.1,)</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>
</project>

 

编写WordCount.java程序

import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;

public class WordCountFromSocket {

    public static void main(String[] args) throws Exception {
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        DataStream<String> stream = env.socketTextStream("localhost", 9999);

        stream.flatMap(new Tokenizer()).keyBy(r -> r.f0).sum(1).print();

        env.execute("Flink Streaming Java API Skeleton");
    }

    public static class Tokenizer implements FlatMapFunction<String, Tuple2<String, Integer>> {
        @Override
        public void flatMap(String value, Collector<Tuple2<String, Integer>> out) throws Exception {
            String[] stringList = value.split("\\s");
            for (String s : stringList) {
                // 使用out.collect方法向下游发送数据
                out.collect(new Tuple2(s, 1));
            }
        }
    }
}

2 下载Flink运行时环境，提交Jar包的运行方式

下载链接：http://mirror.bit.edu.cn/apache/flink/flink-1.11.1/flink-1.11.1-bin-scala_2.11.tgz

然后解压

$ tar xvfz flink-1.11.1-bin-scala_2.11.tgz

启动Flink集群

$ cd flink-1.11.1
$ ./bin/start-cluster.sh

可以打开Flink WebUI查看集群状态：http://localhost:8081

在IDEA中使用maven package打包。

提交打包好的JAR包

$ cd flink-1.11.1
$ ./bin/flink run 打包好的JAR包的绝对路径

停止Flink集群

$ ./bin/stop-cluster.sh

查看标准输出日志的位置，在log文件夹中。

$ cd flink-1.11.1/log
posted @ 2020-08-03 19:54  秋华  阅读(1184)  评论(0)  编辑  收藏  举报