一、flink简介

flink的特点

低延迟
高吞吐
能正确地处理数据和容错机制

什么是事件驱动？

就像tomcat一样，从启动之后就一直处于运行状态，只要有请求事件过来，就会进行处理

二、flink快速体验

当前scala版本为2.11.8
在这里插入图片描述
如果在这个版本下，使用scala_2.12和1.10.1版本的话会报错的哦：

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_2.12</artifactId>
            <version>1.10.1</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>1.10.1</version>
        </dependency>

在这里插入图片描述
上面的是报错的截图，即使我导入了隐式转换，这是我遇到的问题做个记录，请忽略，直接进行下面的操作

1、创建maven工程flinklearning

2、添加pom依赖：

    <dependencies>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_2.11</artifactId>
            <version>1.8.0</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-streaming-scala -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_2.11</artifactId>
            <version>1.8.0</version>
        </dependency>
    </dependencies>

    <build>
    <plugins>
    <!-- 该插件用于将Scala代码编译成class文件 -->
    <plugin>
        <groupId>net.alchim31.maven</groupId>
        <artifactId>scala-maven-plugin</artifactId>
        <version>3.4.6</version>
        <executions>
            <execution>
                <!-- 声明绑定到maven的compile阶段 -->
                <goals>
                    <goal>compile</goal>
                </goals>
            </execution>
        </executions>
    </plugin>
    <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-assembly-plugin</artifactId>
        <version>3.0.0</version>
        <configuration>
            <descriptorRefs>
                <descriptorRef>jar-with-dependencies</descriptorRef>
            </descriptorRefs>
        </configuration>
        <executions>
            <execution>
                <id>make-assembly</id>
                <phase>package</phase>
                <goals>
                    <goal>single</goal>
                </goals>
            </execution>
        </executions>
    </plugin></plugins>
    </build>

3、数据文件：

hello world
nice to meet you
how are you
im fine

4、单词统计类：

package com.learning.flink

import org.apache.flink.api.scala.ExecutionEnvironment
import org.apache.flink.api.scala._

object WordCount {
  case class WordWithCount(world :String, count: Int)
  def main(args: Array[String]): Unit = {
    //创建执行环境
    val environment: ExecutionEnvironment = ExecutionEnvironment.getExecutionEnvironment
    environment.setParallelism(1)
    var inputPath = "D:\IDEA_WORKSPACE\BIGDATA-LEARNING\flinklearning\src\main\resources\wc.txt"
    val inputData: DataSet[String] = environment.readTextFile(inputPath)
    val result: AggregateDataSet[(String, Int)] = inputData.flatMap(_.split(" ")).map((_, 1)).groupBy(0).sum(1)
    result.print()
  }
}

5、输出结果：

(are,1)
(fine,1)
(hello,1)
(how,1)
(im,1)
(meet,1)
(nice,1)
(to,1)
(world,1)
(you,2)

三、flink流式处理

1、单词统计类：

package com.learning.flink

import org.apache.flink.streaming.api.scala._

object WordCount {
  case class WordWithCount(world :String, count: Int)
  def main(args: Array[String]): Unit = {
    val env: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment

    val textDstream = env.socketTextStream("192.168.66.11", 7777)
    val result = textDstream.flatMap(_.split(" ")).map((_, 1)).keyBy(0).sum(1)
    result.print()

    env.execute("启动")
  }
}

有坑，一定要注意导包，不用的包就删掉，不要留着，我之前就是因为留着一些没用的包，导致一直报红

2、在linux监听一个端口，并且发送数据

[root@cdh01 ~]# nc -lk 7777
hello word
hello you

3、输出结果：

4> (hello,1)
9> (word,1)
7> (you,1)
4> (hello,2)

4、可以使用工具类获取参数

    val params: ParameterTool = ParameterTool.fromArgs(args)
    val host = params.get("host")
    val port = params.get("port")