使用kafka客戶端例子(开启kerberos验证)
1.pom配置
<!--kafka支持--> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka-clients</artifactId> <version> 2.3.0</version> </dependency> <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> </dependency> <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka-test</artifactId> <scope>test</scope> </dependency>
2.kafka配置
import java.util.HashMap; import java.util.Map; import org.apache.kafka.clients.CommonClientConfigs; import org.apache.kafka.clients.consumer.ConsumerConfig; import org.apache.kafka.common.config.SaslConfigs; import org.apache.kafka.common.security.auth.SecurityProtocol; import org.springframework.beans.factory.annotation.Value; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory; import org.springframework.kafka.config.KafkaListenerContainerFactory; import org.springframework.kafka.core.DefaultKafkaConsumerFactory; import org.springframework.kafka.listener.ConcurrentMessageListenerContainer; /** * @Description:kafka配置 * @author op * */ @Configuration public class KafkaConfig { @Value("${spring.kafka.bootstrap-servers}") private String bootstrapServers; @Value("${spring.kafka.consumer.enable-auto-commit}") private Boolean autoCommit; @Value("${spring.kafka.consumer.auto-commit-interval-ms}") private Integer autoCommitInterval; @Value("3000") private Integer maxNum; @Value("1048576")//最大数据大小为10M private Integer maxBytes; @Value("${spring.kafka.consumer.auto-offset-reset}") private String autoOffsetReset; @Value("${spring.kafka.consumer.key-deserializer}") private String keyDeserializer; @Value("${spring.kafka.consumer.value-deserializer}") private String valDeserializer; /** * 监听器工厂 批量消费 * @return */ @Bean public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, String>> kafkaListenerFactory() { ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(new DefaultKafkaConsumerFactory<>(consumerConfigs())); //设置为批量消费,每个批次数量在Kafka配置参数中设置ConsumerConfig.MAX_POLL_RECORDS_CONFIG factory.setBatchListener(true); //设置要监听的线程数。(设置10个消费者进行消费。) factory.setConcurrency(10); return factory; } @Bean public Map<String, Object> consumerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, autoCommit); props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, autoCommitInterval); props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "15000"); props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, keyDeserializer); props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, valDeserializer); props.put(ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG,maxBytes);//每一批 props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, maxNum);//每一批最多数量 props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset); //kerberos安全认证 props.put(CommonClientConfigs.SECURITY_PROTOCOL_CONFIG, SecurityProtocol.SASL_PLAINTEXT.name); props.put(SaslConfigs.SASL_MECHANISM, "GSSAPI"); props.put(SaslConfigs.SASL_KERBEROS_SERVICE_NAME, "kafka"); return props; } }
3.消费者
import java.util.List; import org.apache.kafka.clients.consumer.ConsumerRecord; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.kafka.annotation.KafkaListener; import org.springframework.stereotype.Component; import org.springframework.util.CollectionUtils; import lombok.extern.slf4j.Slf4j; /** * @Description:kafka消费者监听 * @author op * */ @Slf4j @Component public class KafkaConsumerListener { // 配置要监听的主题、消费者组、消费者工厂 @KafkaListener( groupId = "自定义", topics = "test", containerFactory = "kafkaListenerFactory" ) public void newbulkWebsiteAlert(List<ConsumerRecord<?, ?>> records){ log.newTrace(); if (CollectionUtils.isEmpty(records)) { return; } try { for (ConsumerRecord<?, ?> record : records) { String value = record.value().toString(); //业务代码 xxx } } catch (Exception e) { log.info("订阅kafka消息出现异常" + e.getMessage(),e); } } }
4.配置
spring.kafka.bootstrap-servers=ip:端口 spring.kafka.consumer.properties.group.id=自定义 spring.kafka.consumer.enable-auto-commit=true spring.kafka.consumer.auto-commit-interval-ms=1000 spring.kafka.consumer.auto-offset-reset=earliest spring.kafka.consumer.properties.session.timeout.ms=120000 spring.kafka.consumer.properties.request.timeout.ms=180000 spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializer spring.kafka.listener.missing-topics-fatal=false
5.在启动服务的时候加上kerberos配置文件的读取,比如 java -jar -Djava.security.krb5.conf=xxx/krb5.conf -Djava.security.auth.login.config=xxx/jaas.conf xxx.jar &
-Djava.security.krb5.conf=xxx/krb5.conf -Djava.security.auth.login.config=xxx/jaas.conf
需要注意jaas.conf文件中serviceName和principal读取的时候是合起来用的,用户名密码是在kafka目录下的,如果serviceName存在principal只是用户名加密码,没有serviceName字段的时候principal需要配置为kafka/用户名密码
KafkaClient {
com.sun.security.auth.module.Krb5LoginModule required
useKeyTab=true
storeKey=true
serviceName="kafka"
keyTab="D:/logs/kafka.keytab"
principal="用户名密码";
};