我正在尝试使用将 spring boot 项目连接到 kafka 。 在我的 application.properties 文件中,我有以下配置:
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.value-serializer=org.springframework.kafka.support.serializer.JsonSerializer
spring.kafka.consumer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.consumer.value-serializer=org.springframework.kafka.support.serializer.JsonSerializer
spring.kafka.template.default-topic=my_default_topic
spring.kafka.admin.fail-fast=true
spring.kafka.consumer.auto-offset-reset=latest
spring.kafka.consumer.group-id=my_group_id
spring.kafka.listener.concurrency=10
spring.kafka.bootstrap-servers=kafka:9092
但在日志中我看到只有其中一些值进入了消费配置。日志中的配置在这里:
2018-08-01 15:20:34.640 WARN 1 --- [ main] s.c.a.AnnotationConfigApplicationContext : Exception encountered during context initialization - cancelling refr[3/5548]
mpt: org.springframework.context.ApplicationContextException: Failed to start bean 'org.springframework.kafka.config.internalKafkaListenerEndpointRegistry'; nested exception is org.apache.kafka.common.KafkaException: Failed to cons[2/5548]
fka consumer [1/5548]
isolation.level = read_uncommitted [46/5548]
key.deserializer = class org.apache.kafka.common.serialization.StringDeserializer [45/5548]
max.partition.fetch.bytes = 1048576 [44/5548]
max.poll.interval.ms = 300000 [43/5548]
check.crcs = true [58/5548]
client.id =
connections.max.idle.ms = 540000
enable.auto.commit = true
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = null
heartbeat.interval.ms = 3000
interceptor.classes = null
internal.leave.group.on.close = true
isolation.level = read_uncommitted
key.deserializer = class org.apache.kafka.common.serialization.StringDeserializer
max.partition.fetch.bytes = 1048576
max.poll.interval.ms = 300000
max.poll.records = 500
metadata.max.age.ms = 300000
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 30000
partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor]
receive.buffer.bytes = 65536
reconnect.backoff.max.ms = 1000
reconnect.backoff.ms = 50
request.timeout.ms = 305000
retry.backoff.ms = 100
sasl.jaas.config = null
sasl.kerberos.kinit.cmd = /usr/bin/kinit
sasl.kerberos.min.time.before.relogin = 60000
sasl.kerberos.service.name = null
sasl.kerberos.ticket.renew.jitter = 0.05
sasl.kerberos.ticket.renew.window.factor = 0.8
sasl.mechanism = GSSAPI
security.protocol = PLAINTEXT
send.buffer.bytes = 131072
session.timeout.ms = 10000
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
ssl.endpoint.identification.algorithm = null
ssl.key.password = null
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = null
ssl.keystore.password = null
ssl.keystore.type = JKS
ssl.protocol = TLS
ssl.provider = null
ssl.secure.random.implementation = null
ssl.trustmanager.algorithm = PKIX
ssl.truststore.location = null
ssl.truststore.password = null
ssl.truststore.type = JKS
value.deserializer = class org.springframework.kafka.support.serializer.JsonDeserializer
特别是 bootstrap.servers 和 group.id 丢失了。然后我得到一个例外
org.springframework.context.ApplicationContextException: Failed to start bean 'org.springframework.kafka.config.internalKafkaListenerEndpointRegistry'; nested exception is or
g.apache.kafka.common.KafkaException: Failed to construct kafka consumer
因为它找不到引导服务器。我知道我可以手动将属性传递到
DefaultKafkaConsumerFactory
bean 中,但我希望 Spring Boot 能够自动处理该问题。有什么办法可以做到这一点吗?
谢谢!
编辑: 我正在尝试使用
@KafkaListener
来消费消息,就像这样......
@KafkaListener(topics = "${app-name.inputTopic}")
public void handleMessage(CustomMessage message){
//my code
}
我意识到项目中其他地方有 @Configuration beans 手动设置属性。我删除了它们,一切正常。
查看
KafkaProperties
对象。它包含标准属性。就像工厂一样。
@Bean
public KafkaTemplate<Integer, String> createTemplate(KafkaProperties properties)
{
Map<String, Object> props = properties.buildProducerProperties();
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, JsonSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
KafkaTemplate<Integer, String> template = new KafkaTemplate<>(new DefaultKafkaProducerFactory<>(props));
return template;
}