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本篇文章給大家分享的是有關Flink1.8中如何進行流處理SocketWordCount,小編覺得挺實用的,因此分享給大家學習,希望大家閱讀完這篇文章后可以有所收獲,話不多說,跟著小編一起來看看吧。
概述:
這里主要演示flink源碼實例中“WordCount”程序的流窗口版本。
此程序連接到socket服務器并從socket讀取字符串。最簡單的嘗試方法是打開一個文本服務器(在端口9999),使用netcat工具
我這里也貼一下:
/*
* 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
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* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
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*/
package com.hadoop.ljs.flink.streaming;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.util.Collector;
/**
* Implements a streaming windowed version of the "WordCount" program.
*
* <p>This program connects to a server socket and reads strings from the socket.
* The easiest way to try this out is to open a text server (at port 12345)
* using the <i>netcat</i> tool via
* <pre>
* nc -l 12345 on Linux or nc -l -p 12345 on Windows
* </pre>
* and run this example with the hostname and the port as arguments.
*/
@SuppressWarnings("serial")
public class SocketWordCount {
public static void main(String[] args) throws Exception {
// the host and the port to connect to
final String hostname;
final int port;
try {
final ParameterTool params = ParameterTool.fromArgs(args);
hostname = params.has("hostname") ? params.get("hostname") : "localhost";
port = params.getInt("port");
/*hostname = "10.124.165.98";
port = 9999;*/
} catch (Exception e) {
System.err.println("No port specified. Please run 'SocketWordCount " +
"--hostname <hostname> --port <port>', where hostname (localhost by default) " +
"and port is the address of the text server");
System.err.println("To start a simple text server, run 'netcat -l <port>' and " +
"type the input text into the command line");
return;
}
// get the execution environment
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
// get input data by connecting to the socket
DataStream<String> text = env.socketTextStream(hostname, port, "\n");
// parse the data, group it, window it, and aggregate the counts
DataStream<WordWithCount> windowCounts = text
.flatMap(new FlatMapFunction<String, WordWithCount>() {
@Override
public void flatMap(String value, Collector<WordWithCount> out) {
for (String word : value.split("\\s")) {
out.collect(new WordWithCount(word, 1L));
}
}
})
.keyBy("word")
.timeWindow(Time.seconds(5))
.reduce(new ReduceFunction<WordWithCount>() {
@Override
public WordWithCount reduce(WordWithCount a, WordWithCount b) {
return new WordWithCount(a.word, a.count + b.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.
*/
public static class WordWithCount {
public String word;
public long count;
public WordWithCount() {}
public WordWithCount(String word, long count) {
this.word = word;
this.count = count;
}
@Override
public String toString() {
return word + " : " + count;
}
}
}
通過maven package打出jar包:flink191-1.0-SNAPSHOT-jar-with-dependencies
直接提交到flink在yarn中已啟動的一個session中,從flink界面上傳jar:
上傳后,選中jar前面的復選框,可直接填寫相關參數:
參數格式:--參數名 參數值 --參數名2 參數值2
參數獲取是通過上面代碼第49行的工具類獲取(固定格式):
ParameterTool params = ParameterTool.fromArgs(args);
最后點擊“Submit”按鈕,提交任務運行即可。
界面也可查看日志和輸出:
以上就是Flink1.8中如何進行流處理SocketWordCount,小編相信有部分知識點可能是我們日常工作會見到或用到的。希望你能通過這篇文章學到更多知識。更多詳情敬請關注億速云行業資訊頻道。
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