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Kafka快速入門系列(10) | Kafka的Consumer API操作
2021-09-02 21:13:30

??本篇博主帶來的是Kafka的Consumer API操作。

??Consumer消費(fèi)數(shù)據(jù)時(shí)的可靠性是很容易保證的，因?yàn)閿?shù)據(jù)在Kafka中是持久化的，故不用擔(dān)心數(shù)據(jù)丟失問題。
??由于consumer在消費(fèi)過程中可能會(huì)出現(xiàn)斷電宕機(jī)等故障，consumer恢復(fù)后，需要從故障前的位置的繼續(xù)消費(fèi)，所以consumer需要實(shí)時(shí)記錄自己消費(fèi)到了哪個(gè)offset，以便故障恢復(fù)后繼續(xù)消費(fèi)。
??所以offset的維護(hù)是Consumer消費(fèi)數(shù)據(jù)是必須考慮的問題。

1. 手動(dòng)提交offset
  • 1. 導(dǎo)入依賴
    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <source>8</source>
                    <target>8</target>
                </configuration>
            </plugin>
        </plugins>

    </build>


    <dependencies>
    <dependency>
        <groupId>org.apache.kafka</groupId>
        <artifactId>kafka-clients</artifactId>
        <version>0.11.0.2</version>
    </dependency>
    </dependencies>
  • 2. 編寫代碼

需要用到的類：
KafkaConsumer：需要?jiǎng)?chuàng)建一個(gè)消費(fèi)者對(duì)象，用來消費(fèi)數(shù)據(jù)
ConsumerConfig：獲取所需的一系列配置參數(shù)
ConsuemrRecord：每條數(shù)據(jù)都要封裝成一個(gè)ConsumerRecord對(duì)象

package com.buwenbuhuo.kafka.consumer;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.util.Arrays;
import java.util.Properties;

/**
 * @author 卜溫不火
 * @create 2020-05-06 23:22
 * com.buwenbuhuo.kafka.consumer - the name of the target package where the new class or interface will be created.
 * kafka0506 - the name of the current project.
 */
public class CustomConsumer {

    public static void main(String[] args) {

        Properties props = new Properties();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "hadoop002:9092");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");

        props.put(ConsumerConfig.GROUP_ID_CONFIG, "bigData-0507");
        props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,true);
        props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG,3000);

        //1.創(chuàng)建1個(gè)消費(fèi)者
        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
        consumer.subscribe(Arrays.asList("first"));

        //2.調(diào)用poll
     try {

         while (true) {
             ConsumerRecords<String, String> records = consumer.poll(100);
             for (ConsumerRecord<String, String> record : records) {
             System.out.println("record = " + record);

             }
         }
     }finally {
         consumer.close();
     }
    }
}
  • 3. 結(jié)果呈現(xiàn)

Kafka快速入門系列(10) | Kafka的Consumer API操作_數(shù)據(jù)

  • 4. 代碼分析

??手動(dòng)提交offset的方法有兩種：分別是commitSync（同步提交）和commitAsync（異步提交）。兩者的相同點(diǎn)是，都會(huì)將本次poll的一批數(shù)據(jù)最高的偏移量提交；不同點(diǎn)是，commitSync會(huì)失敗重試，一直到提交成功（如果由于不可恢復(fù)原因?qū)е?，也?huì)提交失?。?；而commitAsync則沒有失敗重試機(jī)制，故有可能提交失敗。

  • 5. 此為異步提交代碼
package com.buwenbuhuo.kafka.consumer;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.util.Arrays;
import java.util.Properties;

/**
 * @author 卜溫不火
 * @create 2020-05-06 23:22
 * com.buwenbuhuo.kafka.consumer - the name of the target package where the new class or interface will be created.
 * kafka0506 - the name of the current project.
 */
public class CustomConsumer {

    public static void main(String[] args) {

        Properties props = new Properties();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "hadoop002:9092");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");

        props.put(ConsumerConfig.GROUP_ID_CONFIG, "bigData-0507");
        props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,false);


        //1.創(chuàng)建1個(gè)消費(fèi)者
        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
        consumer.subscribe(Arrays.asList("second"));

        //2.調(diào)用poll
     try {

         while (true) {
             ConsumerRecords<String, String> records = consumer.poll(100);
             for (ConsumerRecord<String, String> record : records) {
             System.out.println("record = " + record);
             }
             // 異步提交
             consumer.commitAsync();
         }
     }finally {
         consumer.close();
     }
    }
}
  • 6. 此為同步提交代碼
package com.buwenbuhuo.kafka.consumer;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.util.Arrays;
import java.util.Properties;

/**
 * @author 卜溫不火
 * @create 2020-05-06 23:22
 * com.buwenbuhuo.kafka.consumer - the name of the target package where the new class or interface will be created.
 * kafka0506 - the name of the current project.
 */
public class CustomConsumer {

    public static void main(String[] args) {

        Properties props = new Properties();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "hadoop002:9092");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");

        props.put(ConsumerConfig.GROUP_ID_CONFIG, "bigData-0507");
        props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,false);


        //1.創(chuàng)建1個(gè)消費(fèi)者
        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
        consumer.subscribe(Arrays.asList("second"));

        //2.調(diào)用poll
     try {

         while (true) {
             ConsumerRecords<String, String> records = consumer.poll(100);
             for (ConsumerRecord<String, String> record : records) {
             System.out.println("record = " + record);
             }
             // 同步提交
             consumer.commitSync();
         }
     }finally {
         consumer.close();
     }
    }
}
  • 7. 結(jié)果圖

Kafka快速入門系列(10) | Kafka的Consumer API操作_kafka_02

2. 自動(dòng)提交offset

??為了使我們能夠?qū)Ｗ⒂谧约旱臉I(yè)務(wù)邏輯，Kafka提供了自動(dòng)提交offset的功能。
自動(dòng)提交offset的相關(guān)參數(shù)：
enable.auto.commit：是否開啟自動(dòng)提交offset功能
auto.commit.interval.ms：自動(dòng)提交offset的時(shí)間間隔

  • 1. 代碼
package com.buwenbuhuo.kafka.consumer;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.util.Arrays;
import java.util.Properties;

/**
 * @author 卜溫不火
 * @create 2020-05-06 23:22
 * com.buwenbuhuo.kafka.consumer - the name of the target package where the new class or interface will be created.
 * kafka0506 - the name of the current project.
 */
public class CustomConsumer {

    public static void main(String[] args) {
        Properties props = new Properties();
        props.put("bootstrap.servers", "hadoop002:9092");
        props.put("group.id", "test");
        props.put("enable.auto.commit", "true");
        props.put("auto.commit.interval.ms", "1000");
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
        consumer.subscribe(Arrays.asList("second"));
        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(100);
            for (ConsumerRecord<String, String> record : records)
                System.out.printf("offset = %d, key = %s, value = %s%n", record.offset(), record.key(), record.value());
        }
    }
}
  • 2. 運(yùn)行結(jié)果
    Kafka快速入門系列(10) | Kafka的Consumer API操作_數(shù)據(jù)_03
3. 自己維護(hù)offset
  • 1. 代碼
package com.buwenbuhuo.kafka.consumer;

import org.apache.kafka.clients.consumer.ConsumerRebalanceListener;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.TopicPartition;

import java.util.Arrays;
import java.util.Collection;
import java.util.Properties;

/**
 * @author 卜溫不火
 * @create 2020-05-07 15:16
 * com.buwenbuhuo.kafka.consumer - the name of the target package where the new class or interface will be created.
 * kafka0506 - the name of the current project.
 */
public class CustomOffsetConsumer {

    public static void main(String[] args) {

        Properties props = new Properties();
        props.put("bootstrap.servers", "hadoop002:9092");
        props.put("group.id", "test");//消費(fèi)者組，只要group.id相同，就屬于同一個(gè)消費(fèi)者組
        props.put("enable.auto.commit", "false");//自動(dòng)提交offset
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
        consumer.subscribe(Arrays.asList("second"), new ConsumerRebalanceListener() {

            //提交當(dāng)前負(fù)責(zé)的分區(qū)的offset
            @Override
            public void onPartitionsRevoked(Collection<TopicPartition> partitions) {
                System.out.println("==========回收的分區(qū)===========");
                for (TopicPartition partition : partitions){
                    System.out.println("partition = " + partition);   // 啥也沒干不寫東西也可以
                }

            }

            //定位新分配的分區(qū)的offset
            @Override
            public void onPartitionsAssigned(Collection<TopicPartition> partitions) {
                System.out.println("========重新得到的分區(qū)===========");
                for (TopicPartition partition : partitions) {
                    Long offset = getPartitionOffset(partition);
                    consumer.seek(partition,offset);
                }
            }
        });


        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(100);
            for (ConsumerRecord<String, String> record : records) {

                System.out.printf("offset = %d, key = %s, value = %s%n", record.offset(), record.key(), record.value());
                TopicPartition topicPartition = new TopicPartition(record.topic(), record.partition());
                commitOffset(topicPartition,record.offset()+1);
            }
        }
    }

    private static void commitOffset(TopicPartition topicPartition, long l) {

    }

    private static Long getPartitionOffset(TopicPartition partition) {
        return null;
    }

}
  • 2. 結(jié)果
    Kafka快速入門系列(10) | Kafka的Consumer API操作_kafka_04

??本次的分享就到這里了,

Kafka快速入門系列(10) | Kafka的Consumer API操作_大數(shù)據(jù)_05

?? 看 完 就 贊 ， 養(yǎng) 成 習(xí) 慣 ！ ！ ！ color{#FF0000}{看完就贊，養(yǎng)成習(xí)慣?。?！} 看完就贊，養(yǎng)成習(xí)慣！！！^ _ ^ ?? ?? ??
??碼字不易，大家的支持就是我堅(jiān)持下去的動(dòng)力。點(diǎn)贊后不要忘了關(guān)注我哦！

本文摘自 ：https://blog.51cto.com/u

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