做电商必须知道的网站关键词可以分为哪三类
在测试的过程中，心血来潮，想要测试下新topic中还没被消费的消息。专门查了下ai，奈何一本正经的胡说八道，浪费了点时间。现在记录下：
- 解决topic缺失时项目无法启动 ， 报错： Topic(s) [……] is/are not present and missingTopicsFatal is true
- 指定消息消费的区间
@Configuration
@Primary
public class CommonKafkaConfig extends KafkaProperties {@Value("${spring.kafka.concurrency}")public int concurrency;@Value("${spring.kafka.poll-timeout-ms}")public long pollTimeout;@Value("${spring.kafka.consumer.auto-offset-reset}")private String autoOffsetReset;@Value("${spring.kafka.consumer.auto-commit-interval-ms}")private String autoCommitInterval;@Value("${spring.kafka.consumer.bootstrap-servers}")private String mpSyncBootstrapServers;@Value("${spring.kafka.consumer.cloud-bootstrap-servers}")private String cloudSyncBootstrapServers;@Value("${spring.kafka.consumer.group-id}")private String mpSyncGroupId;@Value("${spring.kafka.consumer.max-pool-records}")private String maxPoolRecords;@Value("${spring.profiles.active}")String env;@Bean(name = "kafkaListenerContainerFactory")KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory() {ConcurrentKafkaListenerContainerFactory<String, String> factory =new ConcurrentKafkaListenerContainerFactory<>();factory.setConsumerFactory(ConsumerFactory());factory.setConcurrency(concurrency);factory.getContainerProperties().setPollTimeout(pollTimeout);//忽略不存在的topic, 针对报警： // Topic(s) [……] is/are not present and missingTopicsFatal is truefactory.getContainerProperties().setMissingTopicsFatal(false);return factory;}private ConsumerFactory<String, String> ConsumerFactory() {return new DefaultKafkaConsumerFactory<>(ConsumerConfigs());}private Map<String, Object> ConsumerConfigs() {Map<String, Object> props = new HashMap<>();props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, getBootStrap());// 配置的值为：latest： 消费最新的消息。 // earliest:（ 表示当没有初始偏移量或者偏移量无效时，）消费者会从最早的可用消息开始消费props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest");props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, autoCommitInterval);props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);props.put(ConsumerConfig.GROUP_ID_CONFIG, mpSyncGroupId);props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, maxPoolRecords);return props;}public String getBootStrap() {if (env.contains("cloud")) return cloudSyncBootstrapServers;return mpSyncBootstrapServers;}private Map<String, Object> producerConfigs() {Map<String, Object> props = new HashMap<>();props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, getBootStrap());props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);return props;}private ProducerFactory<String, String> producerFactory() {return new DefaultKafkaProducerFactory<>(producerConfigs());}@Bean(name = "commonKafkaTemplate")public KafkaTemplate<String, String> kafkaTemplate() {return new KafkaTemplate<>(producerFactory());}
}
问题1，日志里会有大量的[warn],如下：
2024-04-02 16:58:32.906 WARN 15652 --- [ errorHandler-4-C-1] org.apache.kafka.clients.NetworkClient : [Consumer clientId=consumer-69, groupId=errorHandler] Error while fetching metadata with correlation id 973 : {mp.publish.grab.high.priority=UNKNOWN_TOPIC_OR_PARTITION, mp.publish.other=UNKNOWN_TOPIC_OR_PARTITION, mp.publish.grab.low.priority=UNKNOWN_TOPIC_OR_PARTITION}
可以在logback.xml中，加一行配置，忽略日志：
<logger name="org.apache.kafka.clients.NetworkClient" level="ERROR"/>