??本篇博主帶來的是Kafka的Consumer API操作。
??Consumer消費數(shù)據(jù)時的可靠性是很容易保證的,因為數(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在消費過程中可能會出現(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,所以consumer需要實時記錄自己消費到了哪個offset,以便故障恢復(fù)后繼續(xù)消費。
??所以offset的維護(hù)是Consumer消費數(shù)據(jù)是必須考慮的問題。
- 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:需要創(chuàng)建一個消費者對象,用來消費數(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ConsumerRecord對象
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個消費者
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)
- 4. 代碼分析
??手動提交offset的方法有兩種:分別是commitSync(同步提交)和commitAsync(異步提交)。兩者的相同點是,都會將本次poll的一批數(shù)據(jù)最高的偏移量提交;不同點是,commitSync會失敗重試,一直到提交成功(如果由于不可恢復(fù)原因?qū)е拢矔峤皇。?;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個消費者
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個消費者
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
??為了使我們能夠?qū)W⒂谧约旱臉I(yè)務(wù)邏輯,Kafka提供了自動提交offset的功能。
自動提交offset的相關(guān)參數(shù):
enable.auto.commit:是否開啟自動提交offset功能
auto.commit.interval.ms:自動提交offset的時間間隔
- 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
- 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");//消費者組,只要group.id相同,就屬于同一個消費者組
props.put("enable.auto.commit", "false");//自動提交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
??本次的分享就到這里了,
??
看
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就
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,
養(yǎng)
成
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color{#FF0000}{看完就贊,養(yǎng)成習(xí)慣?。。
看完就贊,養(yǎng)成習(xí)慣!!!^ _ ^ ?? ?? ??
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本文摘自 :https://blog.51cto.com/u