kafka大數(shù)據(jù)采集技術(shù)實(shí)驗(yàn)（未完待續(xù)）

這篇具有很好參考價值的文章主要介紹了kafka大數(shù)據(jù)采集技術(shù)實(shí)驗(yàn)（未完待續(xù)）。希望對大家有所幫助。如果存在錯誤或未考慮完全的地方，請大家不吝賜教，您也可以點(diǎn)擊"舉報違法"按鈕提交疑問。

Kafka環(huán)境搭建

下載地址：https://link.zhihu.com/?target=https%3A//kafka.apache.org/downloads
解壓
啟動zookeeper

bin/zookeeper-server-start.sh config/zookeeper.properties

$\color{red}需要注意的是:\\ "config/zookeeper.properties"目錄和 "/config/zookeeper.properties"目錄是不同的.\\ 前者指當(dāng)前目錄中config目錄下的zookeeper.properties文件，\\ 后者代表根目錄中config目錄下的zookeeper.properties文件。$

若啟動不成功，需要將zookeeper.properties中的admin.EnableServer=false修改為admin.EnableServer=true
或者關(guān)閉zookeeper并重新啟動：

bin/zookeeper-server-stop.sh

啟動kafka

bin/kafka-server-start.sh config/server.properties

創(chuàng)建topic

kafka-topics.sh --create --zookeeper cluster1:9092,cluster2: 9092,cluster3: 9092--replication-factor 3 --partitions 1 --topic ljg

若發(fā)生錯誤：”zookeeper is not a recognized option”則將參數(shù)換成“—BOOTSTRAP-SERVER”，即：

./bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1 --topic ljg

上述兩者的區(qū)別是，–zookeeper 和cluster都是老版本的命令參數(shù)，新版本可能不再支持。

創(chuàng)建生產(chǎn)者

kafka-console-producer.sh --broker-list cluster1:9092 --topic ljg

或者：

./bin/kafka-console-producer.sh --bootstrap-server localhost:9092 --topic ljg

上述兩者的區(qū)別是，–broker-list 和cluster都是老版本的命令參數(shù)，新版本可能不再支持。

創(chuàng)建消費(fèi)者

./bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic ljg

此時生產(chǎn)者即可進(jìn)入等待輸入，并將消息發(fā)送給消費(fèi)者。

kafka大數(shù)據(jù)采集技術(shù)實(shí)驗(yàn)（未完待續(xù)）,軟件開發(fā),kafka,大數(shù)據(jù),分布式

2181端口用于管理Kafka集群的元數(shù)據(jù)信息，包括Kafka的配置信息、分區(qū)信息、消費(fèi)者信息等。而9092端口是Kafka Broker的默認(rèn)端口，用于接收和處理生產(chǎn)者和消費(fèi)者的消息，以及進(jìn)行數(shù)據(jù)的存儲和傳輸。

參考鏈接：https://www.cnblogs.com/anquing/p/14523046.html

maven下載安裝、設(shè)置

下載解壓
設(shè)置工作目錄
設(shè)置鏡像
編譯java項(xiàng)目

mave命令：

mvn clean：清理
mvn compile：編譯主程序
mvn test-compile：編譯測試程序
mvn test：執(zhí)行測試
mvn package：打包
mvn install：安裝

maven項(xiàng)目目錄結(jié)構(gòu)：
kafka大數(shù)據(jù)采集技術(shù)實(shí)驗(yàn)（未完待續(xù)）,軟件開發(fā),kafka,大數(shù)據(jù),分布式

Hello.java內(nèi)容：

package com.maven.test;


public class hello {
  public String sayHello(String name){
    return "Hello "+name+"!";
  }
}

注意pom.xml中的name 和artifactId字段的區(qū)別。
pom.xml例子：

<?xml version="1.0" ?>
<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.maven.test</groupId>
    <artifactId>hello</artifactId>
    <version>0.0.1-SNAPSHOT</version>

    <name>hello</name>

    <dependencies>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.0</version>
            <scope>test</scope>
        </dependency>
    </dependencies>
</project>

數(shù)據(jù)庫安裝和操作

安裝mabiadb數(shù)據(jù)庫

yum install mariadb-server 
systemctl start mariadb
systemctl enable mariadb
mysql_secure_installation

創(chuàng)建數(shù)據(jù)表：

mysql -uroot -p
create database kafkaTestDB;
use kafkaTestDB;
create table kafkaTestTable(tickcount varchar(64), value  varchar(64),time varchar(64));

java連接和操作數(shù)據(jù)庫：

package Main;

import java.sql.*;

public class JDBC {
    public static void main(String[] args) throws SQLException, ClassNotFoundException {
//        1.加載驅(qū)動
        Class.forName("com.mysql.cj.jdbc.Driver");
//        2.用戶信息和url
        String url = "jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf8&useSSL=true";
        String username="root";
        String password="root";
//        3.連接成功，數(shù)據(jù)庫對象 Connection
        Connection connection = DriverManager.getConnection(url,username,password);
//        4.執(zhí)行SQL對象Statement，執(zhí)行SQL的對象
        Statement statement = connection.createStatement();
//        5.執(zhí)行SQL的對象去執(zhí)行SQL，返回結(jié)果集
        String sql = "SELECT *FROM studentinfo;";
        ResultSet resultSet = statement.executeQuery(sql);
        while(resultSet.next()){
            System.out.println("SNo="+resultSet.getString("SNo"));
            System.out.println("SName="+resultSet.getString("SName"));
            System.out.println("Birth="+resultSet.getString("Birth"));
            System.out.println("SPNo="+resultSet.getString("SPNo"));
            System.out.println("Major="+resultSet.getString("Major"));
            System.out.println("Grade="+resultSet.getString("Grade"));
            System.out.println("SInstructor="+resultSet.getString("SInstructor"));
            System.out.println("SPwd="+resultSet.getString("SPwd"));
        }
//        6.釋放連接
        resultSet.close();
        statement.close();
        connection.close();
    }
}

JAVA代碼（maven）構(gòu)建生產(chǎn)者消費(fèi)者

工程目錄：

kafka大數(shù)據(jù)采集技術(shù)實(shí)驗(yàn)（未完待續(xù)）,軟件開發(fā),kafka,大數(shù)據(jù),分布式

pom.xml:


<?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.bjtu.kafkaTest</groupId>
    <artifactId>kafkaTest</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>
 
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>2.2.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-streams</artifactId>
            <version>2.2.1</version>
        </dependency>
 
        <dependency>
            <groupId> org.apache.cassandra</groupId>
            <artifactId>cassandra-all</artifactId>
            <version>0.8.1</version>
 
            <exclusions>
                <exclusion>
                    <groupId>org.slf4j</groupId>
                    <artifactId>slf4j-log4j12</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>log4j</groupId>
                    <artifactId>log4j</artifactId>
                </exclusion>
            </exclusions>
        </dependency>

<dependency>
  <groupId>mysql</groupId>
  <artifactId>mysql-connector-java</artifactId>
  <version>8.0.26</version>
</dependency>

<dependency>
   <groupId>joda-time</groupId>
   <artifactId>joda-time</artifactId>
   <version>2.9.8</version>
</dependency>

<dependency>
    <groupId>org.json</groupId>
    <artifactId>json</artifactId>
    <version>20180130</version>
</dependency>

    </dependencies>
 
</project>

java源碼：

consumer：

package com.bjtu.kafkaTest;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
 
import java.util.Arrays;

import java.sql.*;
import java.util.Properties;
import org.json.*;
 




public class ConsumerDemo {

	


    public static void mysqlAccess(String tick,String value,String t)  {

	try{

		Class.forName("com.mysql.cj.jdbc.Driver");

		String url = "jdbc:mysql://localhost:3306/";

		String username="root";
		String password="1234";

		Connection connection = DriverManager.getConnection(url,username,password);

		Statement statement = connection.createStatement();

		String sql = "use kafkaTestDB;";
		ResultSet resultSet = statement.executeQuery(sql);
		//sql = "SELECT *FROM kafkaTestTable;";
		//resultSet = statement.executeQuery(sql);
		//while(resultSet.next()){
		//    System.out.println("tickcount:"+resultSet.getString("tickcount"));
		//}
		sql = "insert into kafkaTestTable values(" + tick +"," + value + "," + t + ")";
		resultSet = statement.executeQuery(sql);
		System.out.println(sql);
	
		resultSet.close();
		statement.close();
		connection.close();
	}
	catch(Exception e){
		System.out.println(e.toString());
	}

    }






    public static void main(String[] args){

	System.out.println("consumer start\r\n");
	Statement statement = null;
	Connection connection = null;
	ResultSet resultSet = null;
	try{

		Class.forName("com.mysql.cj.jdbc.Driver");

		String url = "jdbc:mysql://localhost:3306/";

		String username="root";
		String password="1234";

		connection = DriverManager.getConnection(url,username,password);

		statement = connection.createStatement();

		String sql = "use kafkaTestDB;";
		resultSet = statement.executeQuery(sql);
		//sql = "SELECT *FROM kafkaTestTable;";
		//resultSet = statement.executeQuery(sql);
		//while(resultSet.next()){
		//    System.out.println("tickcount:"+resultSet.getString("tickcount"));
		//}

	}
	catch(Exception e){
		System.out.println(e.toString());
		return;
	}

        Properties properties = new Properties();
      	properties.put("bootstrap.servers", "0.0.0.0:9092");
    
        properties.put("group.id", "zabbix_perf");
        properties.put("enable.auto.commit", "true");
        properties.put("auto.commit.interval.ms", "1000");
        /**
         * earliest
         *   當(dāng)各分區(qū)下有已提交的offset時，從提交的offset開始消費(fèi)；無提交的offset時，從頭開始消費(fèi)
         *   latest
         *   當(dāng)各分區(qū)下有已提交的offset時，從提交的offset開始消費(fèi)；無提交的offset時，消費(fèi)新產(chǎn)生的該分區(qū)下的數(shù)據(jù)
         *   none
         *   topic各分區(qū)都存在已提交的offset時，從offset后開始消費(fèi)；只要有一個分區(qū)不存在已提交的offset，則拋出異常
         *
         */
        properties.put("auto.offset.reset", "earliest");
        properties.put("session.timeout.ms", "30000");
        /**
         * 反序列化
         * 把kafka集群二進(jìn)制消息反序列化指定類型。
         */
        properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
 
        KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<>(properties);
        kafkaConsumer.subscribe(Arrays.asList("ljg"));
        while (true) {
            ConsumerRecords<String, String> records = kafkaConsumer.poll(100);//100是超時時間

	
            for (ConsumerRecord<String, String> record : records) {
                System.out.printf("offset = %d, value = %s", record.offset(), record.value());
		

		JSONObject jo = new JSONObject(record.value());
		try{
			String tick = jo.getString("tickcount");
			String value = jo.getString("value");
			String t = jo.getString("time");
			//mysqlAccess(tick,value,t);
			//System.out.println("tick:"+tick + ",value:"+value + ",time:"+t);


			String sql = "insert into kafkaTestTable values(\"" + 
	tick + "\",\"" + value + "\",\"" + t + "\")";
			System.out.println(sql);
			int result = statement.executeUpdate(sql);
			
	

		}catch(Exception e){
			System.out.println(e.toString());
			break;
		}

            }
        }
 

	//try{
	//resultSet.close();
	//statement.close();
	//connection.close();
	//}catch(Exception e){
	//	System.out.println(e.toString());
	//}
    }

}

producer:

package com.bjtu.kafkaTest;
 
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
 
import java.util.Properties;
import java.util.Random;
import java.util.Date;

import java.time.LocalDate;
import org.joda.time.DateTime;

import java.text.SimpleDateFormat;



public class ProducerDemo {

    public static void main(String[] args){

	System.out.println("producer start\r\n");
 
        Properties properties = new Properties();
        /**
         *bootstrap.server用于建立到Kafka集群的初始連接的主機(jī)/端口對的列表，如果有兩臺以上的機(jī)器，逗號分隔
         */
        properties.put("bootstrap.servers", "0.0.0.0:9092");
        /**
         * acks有三種狀態(tài)
         * acks=0 不等待服務(wù)器確認(rèn)直接發(fā)送消息，無法保證服務(wù)器收到消息數(shù)據(jù)
         * acks=1 把消息記錄寫到本地，但不會保證所有的消息數(shù)據(jù)被確認(rèn)記錄的情況下進(jìn)行釋放
         * acks=all 確認(rèn)所有的消息數(shù)據(jù)被同步副本確認(rèn)，這樣保證了記錄不會丟失
         *
         */
        properties.put("acks", "all");
        /**
         * 設(shè)置成大于0將導(dǎo)致客戶端重新發(fā)送任何發(fā)送失敗的記錄
         *
         */
        properties.put("retries", 0);
        /**
         *16384字節(jié)是默認(rèn)設(shè)置的批處理的緩沖區(qū)
         */
        properties.put("batch.size", 16384);
 
        properties.put("linger.ms", 1);
        properties.put("buffer.memory", 33554432);
        /**
         * 序列化類型。
         * kafka是以鍵值對的形式發(fā)送到kafka集群的，key是可選的，value可以是任意類型，Message再被發(fā)送到kafka之前，Producer需要
         * 把不同類型的消息轉(zhuǎn)化成二進(jìn)制類型。
         */
        properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        Producer<String, String> producer = null;
        try {
            producer = new KafkaProducer<String, String>(properties);

		Random r = new Random();

            for (int i = 0; i < 1000; i++) {

		int rv = r.nextInt(0x10000000);

		long timestamp = System.currentTimeMillis();
		Date date = new Date(timestamp + rv);
		SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMddHHmmss");
		String formattedDate = sdf.format(date);
		//System.out.println("格式化后的日期：" + formattedDate);


                String msg = "{\"tickcount\":\"" + formattedDate + "\",\"value\":\"" +formattedDate +"\",\"time\":\"" 			+ formattedDate + "\"}" ;

                producer.send(new ProducerRecord<String, String>("ljg", msg));

                System.out.println("Sent:" + msg);

		//Thread.sleep(1);
            }
        } catch (Exception e) {
            e.printStackTrace();
 
        } finally {
            producer.close();
        }
 
	System.out.println("producer end\r\n");
    }
}

安裝依賴包：

mvn idea:module

編譯運(yùn)行：

kafka大數(shù)據(jù)采集技術(shù)實(shí)驗(yàn)（未完待續(xù)）,軟件開發(fā),kafka,大數(shù)據(jù),分布式

執(zhí)行：

mvn exec:java -Dexec.mainClass="com.bjtu.kafkaTest.ConsumerDemo"

mvn exec:java -Dexec.mainClass="com.bjtu.kafkaTest.ProducerDemo"

參考鏈接：
https://www.cnblogs.com/qqran/p/14772713.html文章來源地址http://www.zghlxwxcb.cn/news/detail-861878.html

到了這里，關(guān)于kafka大數(shù)據(jù)采集技術(shù)實(shí)驗(yàn)（未完待續(xù)）的文章就介紹完了。如果您還想了解更多內(nèi)容，請在右上角搜索TOY模板網(wǎng)以前的文章或繼續(xù)瀏覽下面的相關(guān)文章，希望大家以后多多支持TOY模板網(wǎng)！