|NO.Z.00005|——————————|BigDataEnd|——|Hadoop&Flink.V05|——|Flink.v05|快速应用|单词统计案例|批数据|Java版|

一、Flink快速应用

### --- Flink快速应用

~~~     通过一个单词统计的案例，快速上手应用Flink，进行流处理（Streaming）和批处理（Batch）

二、单词统计案例（批数据）——>Java版

### --- 需求
~~~     统计一个文件中各个单词出现的次数，把统计结果输出到文件

~~~     # 步骤：
~~~     读取数据源
~~~     处理数据源
~~~     将读到的数据源文件中的每一行根据空格切分
~~~     将切分好的每个单词拼接1
~~~     根据单词聚合（将相同的单词放在一起）
~~~     累加相同的单词（单词后面的1进行累加）
~~~     保存处理结果

三、创建maven工程：创建一个maven工程：FirstFlink

### --- 引入pom.xml依赖

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
    </properties>
    
    <dependencies>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-java-->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-java</artifactId>
            <version>1.11.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flinkstreaming-java -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_2.12</artifactId>
            <version>1.11.1</version>
            <scope>provided</scope>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flinkclients-->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-clients_2.12</artifactId>
            <version>1.11.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-scala-->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_2.12</artifactId>
            <version>1.11.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flinkstreaming-scala -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_2.12</artifactId>
            <version>1.11.1</version>
            <scope>provided</scope>
        </dependency>

    </dependencies>

四、编程代码实现

### --- 编程代码实现

package com.yanqi.java;


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.operators.AggregateOperator;
import org.apache.flink.api.java.operators.FlatMapOperator;
import org.apache.flink.api.java.operators.UnsortedGrouping;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.util.Collector;

/**
 * 1、读取数据源
 *
 * 2、处理数据源
 *
 * a、将读到的数据源文件中的每一行根据空格切分
 *
 * b、将切分好的每个单词拼接1
 *
 * c、根据单词聚合（将相同的单词放在一起）
 *
 * d、累加相同的单词（单词后面的1进行累加）
 *
 * 3、保存处理结果
 */
public class WordCountJavaBatch {
    public static void main(String[] args) throws Exception {
        String inputPath = "E:\\data\\input\\hello.txt";
        String outputPath = "E:\\data\\output";

        //获取flink的运行环境
        ExecutionEnvironment executionEnvironment = ExecutionEnvironment.getExecutionEnvironment();
        DataSet<String> text = executionEnvironment.readTextFile(inputPath);
        FlatMapOperator<String, Tuple2<String, Integer>> wordOndOnes = text.flatMap(new SplitClz());

        //(hello 1) (you 1) (hi 1) (him 1)
        UnsortedGrouping<Tuple2<String, Integer>> groupedWordAndOne = wordOndOnes.groupBy(0);
        //(hello 1) (hello 1)
        AggregateOperator<Tuple2<String, Integer>> out = groupedWordAndOne.sum(1);

        out.writeAsCsv(outputPath, "\n", " ").setParallelism(1);

        executionEnvironment.execute();

    }

    static class SplitClz implements FlatMapFunction<String, Tuple2<String,Integer>> {

        @Override
        public void flatMap(String s, Collector<Tuple2<String, Integer>> collector) throws Exception {
            String[] s1 = s.split(" ");
            for(String word : s1) {
                collector.collect(new Tuple2<String, Integer>(word,1));
            }
        }
    }
}

五、编译运行

### --- 准备资源文件

~~~     # 在E盘下创建文件hello.txt文件，并写入下列内容
hello you
hello me
hi him

### --- 编译打印

D:\JAVA\jdk1.8.0_231\bin\java.exe "-javaagent:D:\IntelliJIDEA\IntelliJ IDEA 2019.3.3\lib\idea_rt.jar=51950:D:\IntelliJIDEA\IntelliJ IDEA 2019.3.3\bin" -Dfile.encoding=UTF-8 -classpath D:\JAVA\jdk1.8.0_231\jre\lib\charsets.jar;D:\JAVA\jdk1.8.0_231\jre\lib\deploy.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\access-bridge-64.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\cldrdata.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\dnsns.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\jaccess.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\jfxrt.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\localedata.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\nashorn.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\sunec.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\sunjce_provider.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\sunmscapi.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\sunpkcs11.jar;D:\JAVA\jdk1.8.0_231\jre\lib\ext\zipfs.jar;D:\JAVA\jdk1.8.0_231\jre\lib\javaws.jar;D:\JAVA\jdk1.8.0_231\jre\lib\jce.jar;D:\JAVA\jdk1.8.0_231\jre\lib\jfr.jar;D:\JAVA\jdk1.8.0_231\jre\lib\jfxswt.jar;D:\JAVA\jdk1.8.0_231\jre\lib\jsse.jar;D:\JAVA\jdk1.8.0_231\jre\lib\management-agent.jar;D:\JAVA\jdk1.8.0_231\jre\lib\plugin.jar;D:\JAVA\jdk1.8.0_231\jre\lib\resources.jar;D:\JAVA\jdk1.8.0_231\jre\lib\rt.jar;E:\NO.Z.10000——javaproject\NO.Z.00002.Hadoop\FirstFlink\target\classes;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-java\1.11.1\flink-java-1.11.1.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-core\1.11.1\flink-core-1.11.1.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-annotations\1.11.1\flink-annotations-1.11.1.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-metrics-core\1.11.1\flink-metrics-core-1.11.1.jar;C:\Users\Administrator\.m2\repository\com\esotericsoftware\kryo\kryo\2.24.0\kryo-2.24.0.jar;C:\Users\Administrator\.m2\repository\com\esotericsoftware\minlog\minlog\1.2\minlog-1.2.jar;C:\Users\Administrator\.m2\repository\org\objenesis\objenesis\2.1\objenesis-2.1.jar;C:\Users\Administrator\.m2\repository\commons-collections\commons-collections\3.2.2\commons-collections-3.2.2.jar;C:\Users\Administrator\.m2\repository\org\apache\commons\commons-compress\1.20\commons-compress-1.20.jar;C:\Users\Administrator\.m2\repository\org\apache\commons\commons-lang3\3.3.2\commons-lang3-3.3.2.jar;C:\Users\Administrator\.m2\repository\org\apache\commons\commons-math3\3.5\commons-math3-3.5.jar;C:\Users\Administrator\.m2\repository\org\slf4j\slf4j-api\1.7.15\slf4j-api-1.7.15.jar;C:\Users\Administrator\.m2\repository\com\google\code\findbugs\jsr305\1.3.9\jsr305-1.3.9.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\force-shading\1.11.1\force-shading-1.11.1.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-runtime_2.12\1.11.1\flink-runtime_2.12-1.11.1.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-queryable-state-client-java\1.11.1\flink-queryable-state-client-java-1.11.1.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-hadoop-fs\1.11.1\flink-hadoop-fs-1.11.1.jar;C:\Users\Administrator\.m2\repository\commons-io\commons-io\2.4\commons-io-2.4.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-shaded-netty\4.1.39.Final-11.0\flink-shaded-netty-4.1.39.Final-11.0.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-shaded-jackson\2.10.1-11.0\flink-shaded-jackson-2.10.1-11.0.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-shaded-zookeeper-3\3.4.14-11.0\flink-shaded-zookeeper-3-3.4.14-11.0.jar;C:\Users\Administrator\.m2\repository\org\javassist\javassist\3.24.0-GA\javassist-3.24.0-GA.jar;C:\Users\Administrator\.m2\repository\com\typesafe\akka\akka-actor_2.12\2.5.21\akka-actor_2.12-2.5.21.jar;C:\Users\Administrator\.m2\repository\com\typesafe\config\1.3.3\config-1.3.3.jar;C:\Users\Administrator\.m2\repository\org\scala-lang\modules\scala-java8-compat_2.12\0.8.0\scala-java8-compat_2.12-0.8.0.jar;C:\Users\Administrator\.m2\repository\com\typesafe\akka\akka-stream_2.12\2.5.21\akka-stream_2.12-2.5.21.jar;C:\Users\Administrator\.m2\repository\org\reactivestreams\reactive-streams\1.0.2\reactive-streams-1.0.2.jar;C:\Users\Administrator\.m2\repository\com\typesafe\ssl-config-core_2.12\0.3.7\ssl-config-core_2.12-0.3.7.jar;C:\Users\Administrator\.m2\repository\org\scala-lang\modules\scala-parser-combinators_2.12\1.1.1\scala-parser-combinators_2.12-1.1.1.jar;C:\Users\Administrator\.m2\repository\com\typesafe\akka\akka-protobuf_2.12\2.5.21\akka-protobuf_2.12-2.5.21.jar;C:\Users\Administrator\.m2\repository\com\typesafe\akka\akka-slf4j_2.12\2.5.21\akka-slf4j_2.12-2.5.21.jar;C:\Users\Administrator\.m2\repository\org\clapper\grizzled-slf4j_2.12\1.3.2\grizzled-slf4j_2.12-1.3.2.jar;C:\Users\Administrator\.m2\repository\com\github\scopt\scopt_2.12\3.5.0\scopt_2.12-3.5.0.jar;C:\Users\Administrator\.m2\repository\org\xerial\snappy\snappy-java\1.1.4\snappy-java-1.1.4.jar;C:\Users\Administrator\.m2\repository\com\twitter\chill_2.12\0.7.6\chill_2.12-0.7.6.jar;C:\Users\Administrator\.m2\repository\com\twitter\chill-java\0.7.6\chill-java-0.7.6.jar;C:\Users\Administrator\.m2\repository\org\lz4\lz4-java\1.6.0\lz4-java-1.6.0.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-shaded-guava\18.0-11.0\flink-shaded-guava-18.0-11.0.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-clients_2.12\1.11.1\flink-clients_2.12-1.11.1.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-optimizer_2.12\1.11.1\flink-optimizer_2.12-1.11.1.jar;C:\Users\Administrator\.m2\repository\commons-cli\commons-cli\1.3.1\commons-cli-1.3.1.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-scala_2.12\1.11.1\flink-scala_2.12-1.11.1.jar;C:\Users\Administrator\.m2\repository\org\apache\flink\flink-shaded-asm-7\7.1-11.0\flink-shaded-asm-7-7.1-11.0.jar;C:\Users\Administrator\.m2\repository\org\scala-lang\scala-reflect\2.12.7\scala-reflect-2.12.7.jar;C:\Users\Administrator\.m2\repository\org\scala-lang\scala-library\2.12.7\scala-library-2.12.7.jar;C:\Users\Administrator\.m2\repository\org\scala-lang\scala-compiler\2.12.7\scala-compiler-2.12.7.jar;C:\Users\Administrator\.m2\repository\org\scala-lang\modules\scala-xml_2.12\1.0.6\scala-xml_2.12-1.0.6.jar com.yanqi.WordCountJavaBatch

Process finished with exit code 0

### --- 在E盘下查看output输出数据

me 1
hello 2
hi 1
him 1
you 1

---

六、pom.xml依赖环境：辅助文本

### --- pom.xml依赖环境：辅助文本

<?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>com.yanqi.FirstFlink</groupId>
    <artifactId>FirstFlink</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
    </properties>

    <dependencies>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-java -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-java</artifactId>
            <version>1.11.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-streaming-java -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_2.12</artifactId>
            <version>1.11.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-clients -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-clients_2.12</artifactId>
            <version>1.11.1</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-scala -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_2.12</artifactId>
            <version>1.11.1</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-streaming-scala -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_2.12</artifactId>
            <version>1.11.1</version>
            <!--<scope>provided</scope>-->
        </dependency>


        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-hadoop-compatibility_2.11</artifactId>
            <version>1.11.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>2.8.5</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-hdfs</artifactId>
            <version>2.8.5</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>2.8.5</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka_2.11</artifactId>
            <version>1.11.1</version>
        </dependency>
        <!--<dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka-0.11_2.12</artifactId>
            <version>1.11.1</version>
        </dependency>-->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-redis_2.11</artifactId>
            <version>1.1.5</version>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.21</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table</artifactId>
            <version>1.11.1</version>
            <type>pom</type>
            <scope>provided</scope>
        </dependency>

        <!-- Either... -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-api-java-bridge_2.12</artifactId>
            <version>1.11.1</version>
            <scope>provided</scope>
        </dependency>
        <!-- or... -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-api-scala-bridge_2.12</artifactId>
            <version>1.11.1</version>
            <scope>provided</scope>
        </dependency>


        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner-blink_2.12</artifactId>
            <version>1.11.1</version>
            <scope>provided</scope>
        </dependency>


        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-cep_2.12</artifactId>
            <version>1.11.1</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-json</artifactId>
            <version>1.11.1</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-csv</artifactId>
            <version>1.11.1</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-orc_2.12</artifactId>
            <version>1.11.1</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-hbase_2.12</artifactId>
            <version>1.10.2</version>
        </dependency>


        <!-- <dependency>
             <groupId>org.apache.flink</groupId>
             <artifactId>flink-jdbc_2.12</artifactId>
             <version>1.10.2</version>
         </dependency>-->

        <dependency>
            <groupId>org.postgresql</groupId>
            <artifactId>postgresql</artifactId>
            <version>42.2.16</version>
        </dependency>

        <dependency>
            <groupId>com.github.housepower</groupId>
            <artifactId>clickhouse-native-jdbc</artifactId>
            <version>1.6-stable</version>
        </dependency>

        <dependency>
            <groupId>org.apache.kudu</groupId>
            <artifactId>kudu-client</artifactId>
            <version>1.5.0</version>
        </dependency>


    </dependencies>
    <build>
        <plugins>
            <!-- 打jar插件 -->
            <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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Walter Savage Landor:strove with none,for none was worth my strife.Nature I loved and, next to Nature, Art:I warm'd both hands before the fire of life.It sinks, and I am ready to depart

                                                                                                                                                   ——W.S.Landor

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