Kafka Consumer Commit 我自己的偏移量 ID 不起作用 - commitSync（最终 Map<TopicPartition, OffsetAndMetadata> 偏移量）
Kakfa Consumer Commit on my own offset id not working - commitSync(final Map<TopicPartition, OffsetAndMetadata> offsets)
我正在使用 poll() 从主题中获取一堆消息（比如说 100 条）。我在我的配置中将自动提交设置为 false 并将 max.poll.records 设置为 100。
我将使用我收到的 100 条消息中的 10 条消息进行处理。因此，我希望我收到的剩余 90 条消息成为下一个后续民意调查响应的一部分。
因此我提取了第 10 个消息偏移量并将其作为参数传递给 commitSync() API，如下所示。
consumer.commitSync(Collections.singletonMap(
new TopicPartition(message.topic(), message.partition()),
new OffsetAndMetadata(message.offset() + 1, message.leaderEpoch(), "")));
但是，在下一次后续投票中，我收到的消息是从第 101 条消息开始的，而不是从第 11 条消息开始的。
请帮助我在这里做错了什么。
我不想在这里使用 seek() 方法。
我的 Class 文件
public class KafkaMessageConsumerImpl implements IKafkaConsumer {
private Logger logger = LoggerFactory.getLogger(KafkaMessageConsumerImpl.class);
private final String appGroupName;
private Map<String, String> configs;
private KafkaConsumer<String, Message> consumer;
private final static int maxFetchRecords = 100;
@Override
public List<Message> poll(int maxMessages)throws CommunicationException {
int totalMesssages = 0;
try {
logger.debug("going poll invoked with request count "+maxMessages);
final ConsumerRecords<String, Message> messages = consumer.poll(Duration.ofMillis(Long.MAX_VALUE));
logger.debug("poll completed with count: " +messages.count());
final List<Message> _messages = new ArrayList<>();
for (ConsumerRecord<String, Message> message : messages) {
logger.debug("Received" + message.toString());
String actorName = message.value().getMessageDetail().getActorName();
if(actorName.equals(this.actor)) {
_messages.add(message.value());
totalMesssages++;
}
if(totalMesssages == maxMessages) {
/**
* commitSync is not working :(
*/
consumer.commitSync(Collections.singletonMap(
new TopicPartition(message.topic(), message.partition()),
new OffsetAndMetadata(message.offset() + 1, message.leaderEpoch(), "")));
break;
}
}
return _messages;
} catch (Throwable e) {
logger.error("issue while fetching data from Kafka", e);
throw e;
}
}
private KafkaConsumer<String, Message> createConsumer(final CommunicationConfig config,
final String actor) throws CommunicationException {
Properties props = new Properties();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, configs.get("kafka.bootstrapServers"));
props.put("group.id", this.appGroupName+"_"+actor);
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.put("value.deserializer", "impl.MessageDeserializer");
props.put("enable.auto.commit", false);
props.put("max.poll.records", maxFetchRecords);
logger.info("consumer group {} "+this.appGroupName+"_"+actor);
KafkaConsumer<String, Message> consumer = new KafkaConsumer<String, Message>(props);
consumer.subscribe(Arrays.asList(this.configs.get("TOPIC_NAME")));
return consumer;
}
}
日志文件：-
[Thread-5] INFO org.apache.kafka.clients.consumer.ConsumerConfig - ConsumerConfig values:
auto.commit.interval.ms = 5000
auto.offset.reset = latest
bootstrap.servers = [192.168.112.219:9092]
check.crcs = true
client.dns.lookup = default
client.id =
connections.max.idle.ms = 540000
default.api.timeout.ms = 60000
enable.auto.commit = false
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = harisurya221_dd
heartbeat.interval.ms = 3000
interceptor.classes = []
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 = 100
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 = null
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 = 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 = https
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 = impl.MessageDeserializer
[Thread-5] INFO org.apache.kafka.common.utils.AppInfoParser - Kafka version: 2.2.1
[Thread-5] INFO org.apache.kafka.common.utils.AppInfoParser - Kafka commitId: 55783d3133a5a49a
Kafka 为消费者位置和提交的偏移量维护 2 个指针。
提交偏移量与当前位置无关。
如果你关闭消费者并重新打开，你会得到你想要的结果。
如果想从11号位置重新fetch，不关闭consumer，必须执行seek操作重新设置位置。
我正在使用 poll() 从主题中获取一堆消息（比如说 100 条）。我在我的配置中将自动提交设置为 false 并将 max.poll.records 设置为 100。
我将使用我收到的 100 条消息中的 10 条消息进行处理。因此，我希望我收到的剩余 90 条消息成为下一个后续民意调查响应的一部分。
因此我提取了第 10 个消息偏移量并将其作为参数传递给 commitSync() API，如下所示。
consumer.commitSync(Collections.singletonMap(
new TopicPartition(message.topic(), message.partition()),
new OffsetAndMetadata(message.offset() + 1, message.leaderEpoch(), "")));
但是，在下一次后续投票中，我收到的消息是从第 101 条消息开始的，而不是从第 11 条消息开始的。
请帮助我在这里做错了什么。 我不想在这里使用 seek() 方法。
我的 Class 文件
public class KafkaMessageConsumerImpl implements IKafkaConsumer {
private Logger logger = LoggerFactory.getLogger(KafkaMessageConsumerImpl.class);
private final String appGroupName;
private Map<String, String> configs;
private KafkaConsumer<String, Message> consumer;
private final static int maxFetchRecords = 100;
@Override
public List<Message> poll(int maxMessages)throws CommunicationException {
int totalMesssages = 0;
try {
logger.debug("going poll invoked with request count "+maxMessages);
final ConsumerRecords<String, Message> messages = consumer.poll(Duration.ofMillis(Long.MAX_VALUE));
logger.debug("poll completed with count: " +messages.count());
final List<Message> _messages = new ArrayList<>();
for (ConsumerRecord<String, Message> message : messages) {
logger.debug("Received" + message.toString());
String actorName = message.value().getMessageDetail().getActorName();
if(actorName.equals(this.actor)) {
_messages.add(message.value());
totalMesssages++;
}
if(totalMesssages == maxMessages) {
/**
* commitSync is not working :(
*/
consumer.commitSync(Collections.singletonMap(
new TopicPartition(message.topic(), message.partition()),
new OffsetAndMetadata(message.offset() + 1, message.leaderEpoch(), "")));
break;
}
}
return _messages;
} catch (Throwable e) {
logger.error("issue while fetching data from Kafka", e);
throw e;
}
}
private KafkaConsumer<String, Message> createConsumer(final CommunicationConfig config,
final String actor) throws CommunicationException {
Properties props = new Properties();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, configs.get("kafka.bootstrapServers"));
props.put("group.id", this.appGroupName+"_"+actor);
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.put("value.deserializer", "impl.MessageDeserializer");
props.put("enable.auto.commit", false);
props.put("max.poll.records", maxFetchRecords);
logger.info("consumer group {} "+this.appGroupName+"_"+actor);
KafkaConsumer<String, Message> consumer = new KafkaConsumer<String, Message>(props);
consumer.subscribe(Arrays.asList(this.configs.get("TOPIC_NAME")));
return consumer;
}
}
日志文件：-
[Thread-5] INFO org.apache.kafka.clients.consumer.ConsumerConfig - ConsumerConfig values:
auto.commit.interval.ms = 5000
auto.offset.reset = latest
bootstrap.servers = [192.168.112.219:9092]
check.crcs = true
client.dns.lookup = default
client.id =
connections.max.idle.ms = 540000
default.api.timeout.ms = 60000
enable.auto.commit = false
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = harisurya221_dd
heartbeat.interval.ms = 3000
interceptor.classes = []
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 = 100
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 = null
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 = 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 = https
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 = impl.MessageDeserializer
[Thread-5] INFO org.apache.kafka.common.utils.AppInfoParser - Kafka version: 2.2.1
[Thread-5] INFO org.apache.kafka.common.utils.AppInfoParser - Kafka commitId: 55783d3133a5a49a
Kafka 为消费者位置和提交的偏移量维护 2 个指针。
提交偏移量与当前位置无关。
如果你关闭消费者并重新打开，你会得到你想要的结果。
如果想从11号位置重新fetch，不关闭consumer，必须执行seek操作重新设置位置。