springcloud 整合kafka的producer生产数据

贴代码,producer生产配置类

 

package com.trs.idap.config;

import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.core.ProducerFactory;

import java.util.HashMap;
import java.util.Map;

@Configuration
@EnableKafka
public class KafkaProducerConfiguration {
    @Value("${spring.data.kafka.producer.servers}")
    private String servers;
    @Value("${spring.data.kafka.producer.retries}")
    private int retries;
    @Value("${spring.data.kafka.producer.batch-size}")
    private int batchSize;
    @Value("${spring.data.kafka.producer.linger}")
    private int linger;
    @Value("${spring.data.kafka.producer.buffer-memory}")
    private int bufferMemory;
    @Bean
    public KafkaTemplate kafkaTemplate() {
        return new KafkaTemplate(producerFactory());
    }
    public ProducerFactory producerFactory() {
        return new DefaultKafkaProducerFactory<>(producerConfigs());
    }
    public Map producerConfigs() {
        Map props = new HashMap<>();
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, servers);
        props.put(ProducerConfig.RETRIES_CONFIG, retries);
        props.put(ProducerConfig.BATCH_SIZE_CONFIG, batchSize);
        props.put(ProducerConfig.LINGER_MS_CONFIG, linger);
        props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, bufferMemory);
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        return props;
    }
}

 

在其他模块调用的时候,只需要注入,直接调用使用就ok了......