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Flink流处理引擎系统学习（二）

2022-04-22 08:22:00 【肥仔哥哥1930】

前言

第一个Flink示例，首先分享下课程李老师关于任何一门新技术的学习方法：
1、进官网
2、找项目构建
3、找example里的demo代码
4、拷贝到构建的项目里
go

一、Flink的项目构建

一般官网都会提供项目的构建步骤、或者脚本的。Flink在这里就是提供的脚本，步骤如下：
1、打开官网：https://flink.apache.org/
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2、拷贝建Flink项目的脚本

当然，其实是可以在idea里New Project一步步选择Flink的依赖，新建项目的。
这里要说的是，这个脚本需要整理下，整理成一行 ""实际应该是换行符号。
整理后的脚本：

mvn archetype:generate -DarchetypeGroupId=org.apache.flink -DarchetypeArtifactId=flink-walkthrough-datastream-java -DarchetypeVersion=1.14.4 -DgroupId=frauddetection  -DartifactId=frauddetection -Dversion=0.1 -Dpackage=spendreport -DinteractiveMode=false

注意：
如果想自定义项目名称，修改frauddetection为自定义名称就行。
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ok，创建demo项目成功。
特别说明：
脚本建的demo项目需要修改依赖范围provided为compile，否则运行报错。

二、第一个example

1.githup找example

打开github首页，搜索框输入flink，搜索。
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先找个批处理的统计，wordCount试试。

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2.拷贝到demo项目

这里我就整理下2个类，直接拷贝下来，按照自己自定义的包名改下，重现引包就行
WordCount类

package spendreport.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.MultipleParameterTool;
import org.apache.flink.shaded.curator4.com.google.common.base.Preconditions;
import org.apache.flink.util.Collector;

/** * @author zhengwen **/
public class WordCount {
    
// *************************************************************************
  // PROGRAM
  // *************************************************************************

  public static void main(String[] args) throws Exception {
    

    //1、获取命令行参数
    final MultipleParameterTool params = MultipleParameterTool.fromArgs(args);

    // set up the execution environment
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

    // make parameters available in the web interface
    env.getConfig().setGlobalJobParameters(params);

    // get input data
    DataSet<String> text = null;
    if (params.has("input")) {
    
      // union all the inputs from text files
      for (String input : params.getMultiParameterRequired("input")) {
    
        if (text == null) {
    
          text = env.readTextFile(input);
        } else {
    
          text = text.union(env.readTextFile(input));
        }
      }
      Preconditions.checkNotNull(text, "Input DataSet should not be null.");
    } else {
    
      // get default test text data
      System.out.println("Executing WordCount example with default input data set.");
      System.out.println("Use --input to specify file input.");
      text = WordCountData.getDefaultTextLineDataSet(env);
    }

    DataSet<Tuple2<String, Integer>> counts =
        // split up the lines in pairs (2-tuples) containing: (word,1)
        text.flatMap(new Tokenizer())
            // group by the tuple field "0" and sum up tuple field "1"
            .groupBy(0)
            .sum(1);

    // emit result
    if (params.has("output")) {
    
      counts.writeAsCsv(params.get("output"), "\n", " ");
      // execute program
      env.execute("WordCount Example");
    } else {
    
      System.out.println("Printing result to stdout. Use --output to specify output path.");
      counts.print();
    }
  }

  // *************************************************************************
  // USER FUNCTIONS
  // *************************************************************************

  /** * Implements the string tokenizer that splits sentences into words as a user-defined * FlatMapFunction. The function takes a line (String) and splits it into multiple pairs in the * form of "(word,1)" ({@code Tuple2<String, Integer>}). */
  public static final class Tokenizer
      implements FlatMapFunction<String, Tuple2<String, Integer>> {
    

    @Override
    public void flatMap(String value, Collector<Tuple2<String, Integer>> out) {
    
      // normalize and split the line
      String[] tokens = value.toLowerCase().split("\\W+");

      // emit the pairs
      for (String token : tokens) {
    
        if (token.length() > 0) {
    
          out.collect(new Tuple2<>(token, 1));
        }
      }
    }
  }
}

WordCountData类

package spendreport.batch;

   
/* * 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. */


import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;

/** * Provides the default data sets used for the WordCount example program. The default data sets are * used, if no parameters are given to the program. */
public class WordCountData {
    

    public static final String[] WORDS =
            new String[] {
    
                "To be, or not to be,--that is the question:--",
                "Whether 'tis nobler in the mind to suffer",
                "The slings and arrows of outrageous fortune",
                "Or to take arms against a sea of troubles,",
                "And by opposing end them?--To die,--to sleep,--",
                "No more; and by a sleep to say we end",
                "The heartache, and the thousand natural shocks",
                "That flesh is heir to,--'tis a consummation",
                "Devoutly to be wish'd. To die,--to sleep;--",
                "To sleep! perchance to dream:--ay, there's the rub;",
                "For in that sleep of death what dreams may come,",
                "When we have shuffled off this mortal coil,",
                "Must give us pause: there's the respect",
                "That makes calamity of so long life;",
                "For who would bear the whips and scorns of time,",
                "The oppressor's wrong, the proud man's contumely,",
                "The pangs of despis'd love, the law's delay,",
                "The insolence of office, and the spurns",
                "That patient merit of the unworthy takes,",
                "When he himself might his quietus make",
                "With a bare bodkin? who would these fardels bear,",
                "To grunt and sweat under a weary life,",
                "But that the dread of something after death,--",
                "The undiscover'd country, from whose bourn",
                "No traveller returns,--puzzles the will,",
                "And makes us rather bear those ills we have",
                "Than fly to others that we know not of?",
                "Thus conscience does make cowards of us all;",
                "And thus the native hue of resolution",
                "Is sicklied o'er with the pale cast of thought;",
                "And enterprises of great pith and moment,",
                "With this regard, their currents turn awry,",
                "And lose the name of action.--Soft you now!",
                "The fair Ophelia!--Nymph, in thy orisons",
                "Be all my sins remember'd."
            };

    public static DataSet<String> getDefaultTextLineDataSet(ExecutionEnvironment env) {
    
        return env.fromElements(WORDS);
    }
}