动态ip做网站,网站建设实现的目标,小程序是什么东西,app界面设计模板免费下载默认情况下#xff0c;一个分区只能被消费者组中的一个消费者消费。但可以自定义PartitionAssignor来打破这个限制。 一、自定义PartitionAssignor.
package com.cisdi.dsp.modules.metaAnalysis.rest.kafka2023;import org.apache.kafka.clients.consumer.internals.Abstrac…默认情况下一个分区只能被消费者组中的一个消费者消费。但可以自定义PartitionAssignor来打破这个限制。 一、自定义PartitionAssignor.
package com.cisdi.dsp.modules.metaAnalysis.rest.kafka2023;import org.apache.kafka.clients.consumer.internals.AbstractPartitionAssignor;
import org.apache.kafka.common.TopicPartition;import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;public class BroadcastAssignor extends AbstractPartitionAssignor {Overridepublic String name() {return broadcast;}private MapString, ListString consumersPerTopic(MapString, Subscription consumerMetadata) {MapString, ListString res new HashMap();for (Map.EntryString, Subscription subscriptionEntry : consumerMetadata.entrySet()) {String consumerId subscriptionEntry.getKey();for (String topic : subscriptionEntry.getValue().topics())put(res, topic, consumerId);}return res;}Overridepublic MapString, ListTopicPartition assign(MapString, Integer partitionsPerTopic,MapString, Subscription subscriptions) {MapString, ListString consumersPerTopic consumersPerTopic(subscriptions);MapString, ListTopicPartition assignment new HashMap();subscriptions.keySet().forEach(memberId -assignment.put(memberId, new ArrayList()));consumersPerTopic.entrySet().forEach(topicEntry-{String topic topicEntry.getKey();ListString members topicEntry.getValue();Integer numPartitionsForTopic partitionsPerTopic.get(topic);if (numPartitionsForTopic null || members.isEmpty())return;ListTopicPartition partitions AbstractPartitionAssignor.partitions(topic, numPartitionsForTopic);if (!partitions.isEmpty()) {members.forEach(memberId -assignment.get(memberId).addAll(partitions));}});return assignment;}
}二、定义两个消费者给其配置上述PartitionAssignor.
package com.cisdi.dsp.modules.metaAnalysis.rest.kafka2023;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.clients.producer.ProducerConfig;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;import java.time.Duration;
import java.time.temporal.TemporalUnit;
import java.util.Arrays;
import java.util.Properties;
import java.util.concurrent.TimeUnit;public class KafkaTest19 {private static Properties getProperties(){Properties propertiesnew Properties();properties.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());properties.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());properties.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG,xx.xx.xx.xx:9092);properties.setProperty(ConsumerConfig.GROUP_ID_CONFIG,testGroup2023);properties.setProperty(ConsumerConfig.PARTITION_ASSIGNMENT_STRATEGY_CONFIG,BroadcastAssignor.class.getName());return properties;}public static void main(String[] args) {KafkaConsumerString,String myConsumernew KafkaConsumerString, String(getProperties());String topicstudy2023;myConsumer.subscribe(Arrays.asList(topic));while(true){ConsumerRecordsString,String consumerRecordsmyConsumer.poll(Duration.ofMillis(5000));for(ConsumerRecord record: consumerRecords){System.out.println(record.value());System.out.println(record offset is: record.offset());}}}
}
package com.cisdi.dsp.modules.metaAnalysis.rest.kafka2023;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.clients.producer.ProducerConfig;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;import java.time.Duration;
import java.time.temporal.TemporalUnit;
import java.util.Arrays;
import java.util.Properties;
import java.util.concurrent.TimeUnit;public class KafkaTest20 {private static Properties getProperties(){Properties propertiesnew Properties();properties.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());properties.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());properties.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG,xx.xx.xx.xx:9092);properties.setProperty(ConsumerConfig.GROUP_ID_CONFIG,testGroup2023);properties.setProperty(ConsumerConfig.PARTITION_ASSIGNMENT_STRATEGY_CONFIG,BroadcastAssignor.class.getName());return properties;}public static void main(String[] args) {KafkaConsumerString,String myConsumernew KafkaConsumerString, String(getProperties());String topicstudy2023;myConsumer.subscribe(Arrays.asList(topic));while(true){ConsumerRecordsString,String consumerRecordsmyConsumer.poll(Duration.ofMillis(5000));for(ConsumerRecord record: consumerRecords){System.out.println(record.value());System.out.println(record offset is: record.offset());}}}
}
在kafka创建只有一个分区的topic study2023
创建一个生产者往study2023这个 topic发送消息
package com.cisdi.dsp.modules.metaAnalysis.rest.kafka2023;import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.apache.kafka.common.serialization.StringSerializer;import java.util.Date;
import java.util.Properties;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;public class KafkaTest01 {public static void main(String[] args) {Properties properties new Properties();properties.setProperty(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());properties.setProperty(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());properties.setProperty(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG,xx.xx.xx.xx:9092);KafkaProducerString,String kafkaProducernew KafkaProducerString, String(properties);ProducerRecordString,String producerRecordnew ProducerRecord(study2023,0,fff,hello sister,now is: new Date());FutureRecordMetadata future kafkaProducer.send(producerRecord);long offset 0;try {offset future.get().offset();} catch (InterruptedException e) {e.printStackTrace();} catch (ExecutionException e) {e.printStackTrace();}System.out.println(offset);kafkaProducer.close();}
}
分别运行生产者和消费者可以看到相同消费者组里两个消费者可以消费study2023这个topic的同一个分区的数据
