I have implemented the kafka consumer as follows
@Bean
public Consumer<Message<String>> input(){
return -> {
// external service call
};
}
if any exception occurs in external call or in consumer, I want to retry consumer after 10 min. can any one tell me how to achieve this. I have few of the SO links and spring docs. I didn't understood perfectly. I am new to this and want to try it.
links i gone through
Backoff settings for spring cloud stream rabbit
Spring cloud stream kafka consumer error handling and retries issues
Update : I have added below properties but on exception it retrying consumer more than 8 times and the interval between retry is 1 sec only
spring.cloud.stream.bindings.poppyPants.consumer.maxAttempts=2
spring.cloud.stream.bindings.poppyPants.consumer.backOffInitialInterval=900000
spring.cloud.stream.bindings.poppyPants.consumer.backOffMaxInterval=900000
spring.cloud.stream.bindings.poppyPants.consumer.backoffMultiplier=1.0
spring.cloud.stream.bindings.poppyPants.consumer.defaultRetryable=false
Update2 below are my config properties in console
00:51:17.996 [pool-8-thread-2] INFO o.a.k.c.consumer.ConsumerConfig - ConsumerConfig values:
allow.auto.create.topics = true
auto.commit.interval.ms = 5000
auto.offset.reset = latest
bootstrap.servers = [server.domian:9092]
check.crcs = true
client.dns.lookup = use_all_dns_ips
client.id = consumer-fsf-gateway-5
client.rack =
connections.max.idle.ms = 540000
default.api.timeout.ms = 60000
enable.auto.commit = true
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = group_id_val
group.instance.id = null
heartbeat.interval.ms = 3000
interceptor.classes = []
internal.leave.group.on.close = true
internal.throw.on.fetch.stable.offset.unsupported = false
isolation.level = read_uncommitted
key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
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 = 30000
retry.backoff.ms = 100
sasl.client.callback.handler.class = null
sasl.jaas.config = null
sasl.kerberos.kinit.cmd = /usr/bin/kinit
sasl.kerberos.min.time.before.relogin = 60000
sasl.kerberos.service.name = kafka
sasl.kerberos.ticket.renew.jitter = 0.05
sasl.kerberos.ticket.renew.window.factor = 0.8
sasl.login.callback.handler.class = null
sasl.login.class = null
sasl.login.refresh.buffer.seconds = 300
sasl.login.refresh.min.period.seconds = 60
sasl.login.refresh.window.factor = 0.8
sasl.login.refresh.window.jitter = 0.05
sasl.mechanism = GSSAPI
security.protocol = SASL_SSL
security.providers = null
send.buffer.bytes = 131072
session.timeout.ms = 10000
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.3]
ssl.endpoint.identification.algorithm = https
ssl.engine.factory.class = null
ssl.key.password = null
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = null
ssl.keystore.password = null
ssl.keystore.type = JKS
ssl.protocol = TLSv1.3
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.apache.kafka.common.serialization.ByteArrayDeserializer
any thing wrong? any extra config required @Gary Russell any suggestion?
