flink单机部署

Java版本：1.8.0_45

flink下载：https://archive.apache.org/dist/flink/flink-1.7.2/flink-1.7.2-bin-scala_2.11.tgz

解压安装包：

[root@vm-9f-mysteel-dc-ebc-test03 opt]# tar -zxvf flink-1.7.2-bin-scala_2.11.tgz 
flink-1.7.2/
flink-1.7.2/opt/
flink-1.7.2/opt/flink-table_2.11-1.7.2.jar
flink-1.7.2/opt/flink-metrics-graphite-1.7.2.jar
flink-1.7.2/opt/flink-queryable-state-runtime_2.11-1.7.2.jar
flink-1.7.2/opt/flink-swift-fs-hadoop-1.7.2.jar
flink-1.7.2/opt/flink-metrics-statsd-1.7.2.jar
flink-1.7.2/opt/flink-ml_2.11-1.7.2.jar
flink-1.7.2/opt/flink-s3-fs-hadoop-1.7.2.jar

进入到bin目录，启动flink:

[root@vm-9f-mysteel-dc-ebc-test03 bin]# ./start-cluster.sh

访问web界面：http://192.168.201.143:8081

  实时处理socket流数据

 执行以下命令构建flink项目：

D:\\\apache-maven-3.6.0\\\bin\\\mvn.cmd archetype:generate -DarchetypeGroupId=org.apache.flink -DarchetypeArtifactId=flink-quickstart-java  -DarchetypeVersion=1.7.2

构建完之后导入至idea，项目结构如下：

 编写实时处理类：

package com.fen;

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

public class StreamingJob {

	public static void main(String[] args) throws Exception {
		//参数检查
		if (args.length != 2) {
			System.err.println("USAGE:\nSocketTextStreamWordCount <hostname> <port>");
			return;
		}
		String hostname = args[0];
		Integer port = Integer.parseInt(args[1]);

		final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		DataStreamSource<String> stream = env.socketTextStream(hostname, port);
		//计数
		SingleOutputStreamOperator<Tuple2<String, Integer>> sum = stream.flatMap(new LineSplitter())
				.keyBy(0)
				.sum(1);
		sum.print();
		env.execute("Java WordCount from SocketTextStream Example");
	}
	public static final class LineSplitter implements FlatMapFunction<String, Tuple2<String, Integer>> {
		@Override
		public void flatMap(String s, Collector<Tuple2<String, Integer>> collector) {
			String[] tokens = s.toLowerCase().split("\\W+");

			for (String token: tokens) {
				if (token.length() > 0) {
					collector.collect(new Tuple2<String, Integer>(token, 1));
				}
			}
		}
	}
}

这个实时处理作业的source 是 scoket ,slink是print,对实时接收数据中的单词进行个数统计

打包：

 

 把jar包上传至安装了flink的服务器中：

 在linux中安装nc:

[root@vm-9f-mysteel-dc-ebc-test03 bin]# yum install nc

 利于nc启动socket server

[root@vm-9f-mysteel-dc-ebc-test03 ~]# nc -l 127.0.0.1  8888

 执行flink job：

[root@vm-9f-mysteel-dc-ebc-test03 bin]# ./flink run -c com.fen.StreamingJob  ./com.fen-1.0-SNAPSHOT.jar  127.0.0.1 8888

 看streaming作业会一直处于running运行中

 再来看看怎么对实时数据进行统计的：

停止flink job

1、可以通过以下界面的形式进行取消：

 2、使用命令取消：

[root@vm-9f-mysteel-dc-ebc-test03 bin]# ./flink list
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/flink-1.7.2/lib/slf4j-log4j12-1.7.15.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/apply/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
Waiting for response...
------------------ Running/Restarting Jobs -------------------
13.12.2022 19:17:49 : c99f75881ce909ef625c8311e0f5e575 : Java WordCount from SocketTextStream Example (RUNNING)
--------------------------------------------------------------
No scheduled jobs.
[root@vm-9f-mysteel-dc-ebc-test03 bin]# ./flink cancel -m 127.0.0.1:8081 c99f75881ce909ef625c8311e0f5e575
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/flink-1.7.2/lib/slf4j-log4j12-1.7.15.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/apply/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
Cancelling job c99f75881ce909ef625c8311e0f5e575.
Cancelled job c99f75881ce909ef625c8311e0f5e575.