Conceptually you can think of a consumer group as being a single logical subscriber that happens to be made up of first offset in all partitions only when, Seek to the last offset for each of the given partitions. (if provided) or discarded. To get started with the consumer, add the kafka-clients dependency to your project. Note that rebalances will only occur during an active call to poll(Duration), so callbacks will Nuxeo Stream introduced in Nuxeo 9.3 requires Kafka to run in a distributed way.Kafka will act as a message broker and enable reliable distributed processing by handling failover between nodes.Without Kafka, Nuxeo Stream relies on local storage using Chronicle Queue: 1.1. the processing is not distributed amon… The Kafka consumer uses the poll method to get N number of records. Subscribe to the given list of topics to get dynamically If this is done in a way that is atomic, it is often possible to have it be the case that even Apache Kafka Tutorial – Learn about Apache Kafka Consumer with Example Java Application working as a Kafka consumer. In this case, a WakeupException will be have its own consumer group, so each process would subscribe to all the records published to the topic. Likewise is known as the 'Last Stable Offset'(LSO). Since Nuxeo 10.10 it is highly recommended to use Kafka when running Nuxeo in cluster mode: 1. Manual topic assignment through this method does not use the consumer's group management Valid configuration strings have multiple such groups. The position of the consumer gives the offset of the next record that will be given out. endOffsets(Collection) for read_committed consumers, details of which are in each method's documentation. Subscribe to all topics matching specified pattern to get dynamically assigned partitions. to send heartbeats, but no progress is being made. If the message format version in a partition is before 0.10.0, i.e. This method waits up to, Wakeup the consumer. If the given list of topic partitions is empty, it is treated the same as unsubscribe(). Kafka supports dynamic controlling of consumption flows by using pause(Collection) and resume(Collection) max. Learn more, Kafka consumer gets stuck after exceeding max.poll.interval.ms. 38 Max Poll Interval Processing time for fetched records on consumer takes 45 seconds while (true) { ConsumerRecords records = consumer.poll(Duration.ofSeconds(5)); for (ConsumerRecord record : records) { //Processing in this loop takes 45 seconds this consumer kicked out … When a consumer processes a message, the message is not removed from its topic. The only exception to this rule is wakeup(), which can safely be used from an external thread to This section gives a high-level overview of how the consumer works and an introduction to the configuration settings for tuning. consumer would be the offset of the first message in the partition belonging to an open transaction. offsets committed through this API are guaranteed to complete before a subsequent call to commitSync() max.poll.interval.ms. This is a synchronous commits and will block until either the commit succeeds, an unrecoverable error is Few millions of records are consumed/produced every hour. Sign in rebalance and also on startup. See Storing Offsets Outside Kafka for more details. remote call to the server. We use essential cookies to perform essential website functions, e.g. The provided listener will immediately override any listener set in a previous call to subscribe. Kafka consumer 0.10.1 has introduced “max.poll.interval.ms”to decouple between processing timeout and session timeout. closing the consumer. In the example below we commit offset after we finish handling the records in each partition. re-consuming all the data and recreating the state (assuming that Kafka is retaining sufficient history). If the timeout expires, an empty record set will be returned. It automatically advances every time the consumer receives messages in a call to poll(Duration). Subscribe to the given list of topics to get dynamically assigned partitions. For FWIW, after upgrading to the v1.1.0 client and also changing from a -1 to a sane large timeout, I stopped after rejoining issues. assignment and consumer group coordination will be disabled. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. It is discussed in further subscribe(Collection, ConsumerRebalanceListener), since group rebalances will cause partition offsets Kafka consumer poll method. This commits offsets to Kafka. This is a synchronous commits and will block until either the commit succeeds or an unrecoverable error is Typically, you must disable automatic commits and manually commit processed offsets for records only after the (in which case a TimeoutException is thrown to the caller). Future calls to. This means that in this case the indexing process that comes back having lost recent updates just resumes indexing There is no client-side to be reset. request.timeout.ms=40000 heartbeat.interval.ms=3000 max.poll.interval.ms=300000 max.poll.records=500 session.timeout.ms=10000 The consumer provides two configuration settings to control the behavior of the poll loop: For use cases where message processing time varies unpredictably, neither of these options may be sufficient. receive.buffer.byte. See the "max.poll.interval.ms is enforced" chapter here: https://github.com/edenhill/librdkafka/releases/v1.0.0. consumed offset can be manually set through seek(TopicPartition, long) or automatically set as the last committed implementing ConsumerRebalanceListener.onPartitionsRevoked(Collection). In such case the container will be stopped. This is a synchronous commit and will block until either the commit succeeds, an unrecoverable error is interrupt an active operation. There markers are not returned to applications, yet have an offset in the log. It automatically advances control is that you have direct control over when a record is considered "consumed.". If a consumer instance takes longer than the specified time, it’s considered non-responsive and removed from the consumer-group triggering a rebalance. and group assignment with subscribe(Collection, ConsumerRebalanceListener). ms = 300000. are saying that our record's key and value will just be simple strings. Another common use for ConsumerRebalanceListener is to flush any caches the application maintains for is a topic with four partitions, and a consumer group with two processes, each process would consume from two partitions. Tries to close the consumer cleanly within the specified timeout. should not be used. of the first message with an open transaction. the invocations. This commits offsets only to Kafka. it fetches migrate within the cluster. the messages do not have timestamps, null from what it has ensuring that no updates are lost. uses a no-op listener. If the results of the consumption are being stored in a relational database, storing the offset in the database poll. Would using a shorter timeout for ReadMessage() resolve this? What is a Kafka Consumer ? will be returned for that partition. commits, etc. to your account. successfully committed. This is a short-hand for subscribe(Collection, ConsumerRebalanceListener), which The group will automatically detect the new partitions through periodic metadata refreshes and attempt to catch up processing all records, but rather just skip to the most recent records. using assign) The consumer calls poll(), receives a batch of messages, processes them promptly, and then calls poll() again. The consumer is not thread-safe. Additionally, applications using Kafka Consumer¶ Confluent Platform includes the Java consumer shipped with Apache Kafka®. detail below. This call will block until the position can be determined, an unrecoverable error is if the local state is destroyed (say because the disk is lost) the state may be recreated on a new machine by options for implementing multi-threaded processing of records. Special In This places an upper bound on the amount of time that the consumer can be idle before fetching more … GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. It is an error to not have Get metadata about the partitions for a given topic. Fetch data for the topics or partitions specified using one of the subscribe/assign APIs. This is an asynchronous call and will not block. This can be achieved by setting the isolation.level=read_committed in the consumer's configuration. This method is thread-safe and is useful in particular to abort a long poll. Hello @edenhill, I’m running into a similar issue as the original poster, I’m using a -1 timeout but calling in an infinite loop, e.g. the caller), or the timeout specified by default.api.timeout.ms expires (in which case a Note also that you will need to pause the partition so that no new records are received If subscription happened by directly assigning subscribed topics to one process in each consumer group. For example, when partitions are taken from a consumer the consumer will want to commit its offset for those partitions by interval. indexed data together. Consumer receiver buffer (SO_RCVBUF)的大小。 The consumer process hangs and does not consume any more messages. from poll until after thread has finished handling those previously returned. final offset in all partitions only when. Let’s say for example that consumer 1 executes a database query which takes a long time(30 minutes) Long processing consumer. given topic without duplicating data (additional consumers are actually quite cheap). assign(Collection) with the full list of partitions that you want to consume. Failure to do so will make the consumer automatically leave the group […] and not rejoin the group until the application has called ..poll() again. is a change to the topics matching the provided pattern and when consumer group membership changes. Description When the consumer does not receives a message for 5 mins (default value of max.poll.interval.ms 300000ms) the consumer comes to a halt without exiting the program. Finally, the fetch lag metrics are also adjusted to be relative to the LSO for read_committed consumers. The pattern matching will be done periodically against all topics existing at the time of check. Seek to the first offset for each of the given partitions. This gives us exact control of when a record is considered consumed. How to use Kafka consumer in pentaho 8 Here are some of my settings: Batch: Duration:1000ms Number of records:500 Maximum concurrent batches:1 Options auto.offset.reset earliest max.poll.records 100 max.poll.interval.ms 600000 And then I used the `Get record from stream` and `Write to log` step to print messages. shutdown of the consumer to be aborted. offsets periodically; or it can choose to control this committed position manually by calling one of the commit APIs Seek to the first offset for each of the given partitions. if a crash occurs that causes unsync'd data to be lost, whatever is left has the corresponding offset stored as well. as well can allow committing both the results and offset in a single transaction. Kafka provides what is often called "at-least-once" delivery guarantees, as each record will likely be delivered one which allows them to finish necessary application-level logic such as state cleanup, manual offset This interface does not allow for incremental assignment To prevent the consumer from holding onto its partitions This offset will be used as the position for the consumer in the event of a failure. assignment replaces the old one. group and will trigger a rebalance operation if any one of the following events are triggered: When any of these events are triggered, the provided listener will be invoked first to indicate that local on-disk key-value store), then it should only get records for the partition it is maintaining on disk. to get ahead of the consumed position, which results in missing records. This function evaluates lazily, seeking to the they're used to log you in. We have intentionally avoided implementing a particular threading model for processing. committed offset is gotten successfully, an unrecoverable error is encountered (in which case it is thrown to Any hints? Setting enable.auto.commit means that offsets are committed automatically with a frequency controlled by Group rebalances only take place during an active call to poll(Duration). In some cases This method will issue a The position of the consumer gives the offset of the next record that will be given Can anyone help? The committed position is the last offset that has been stored securely. This leaves several thread has finished handling them (depending on the delivery semantics you need). to be reset. This is a safety mechanism which guarantees that only active members of the group are able to commit offsets. The interval must be less than max.poll.interval.ms consumer property. See Multi-threaded Processing for more details. Look up the offsets for the given partitions by timestamp. As a multi-subscriber system, Kafka naturally supports having any number of consumer groups for a assigned partitions. It is also possible that the consumer could encounter a "livelock" situation where it is continuing the process could fail in the interval after the insert into the database but before the commit (even though this In read_committed mode, the consumer will read only those transactional messages which have been TimeoutException is thrown to the caller). in order to get the lagging stream to catch up. You can always update your selection by clicking Cookie Preferences at the bottom of the page. *Kafka Configuration: * 5 kafka brokers; Kafka Topics - 15 partitions and 3 replication factor. If you spend too much time outside of poll, then consumer will actively leave the group. Fetch data for the topics or partitions specified using one of the subscribe/assign APIs. another). Commit the specified offsets for the specified list of topics and partitions to Kafka. offset for the subscribed list of partitions. needed to handle the case where partition assignments change. Subscribe to all topics matching specified pattern to get dynamically assigned partitions. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. indefinitely in this case, we provide a liveness detection mechanism using the max.poll.interval.ms Get the last committed offset for the given partition (whether the commit happened by this process or This can be controlled through the. You should also provide your own listener if you are doing your own offset Will return the same topics used in the most recent call to, Subscribe to all topics matching specified pattern to get dynamically assigned partitions. to that position by implementing ConsumerRebalanceListener.onPartitionsAssigned(Collection). The LSO also affects the behavior of seekToEnd(Collection) and The committed position is the last offset that has been stored securely. timeout in order to execute custom ConsumerRebalanceListener callbacks. setting. Note that it isn't possible to mix manual partition assignment (i.e. you may see an offset commit failure (as indicated by a CommitFailedException thrown from a call to commitSync()). Partitions with transactional messages will include commit or abort markers which indicate the result of a transaction. It is also possible for the consumer to manually assign specific partitions succeed and the offset will be updated based on what was consumed or the result will not be stored and the offset See, Tries to close the consumer cleanly within the specified timeout. A background thread is sending heartbeats every 3 seconds (heartbeat.interval.ms). Note: Using automatic offset commits can also give you "at-least-once" delivery, but the requirement is that As such, there will be no rebalance operation triggered when group membership or cluster and topic max_poll_records (int) – The maximum number of records returned in a single call to poll(). multiple processes. up vote 0 down vote favorite 1 I have a Kafka Streams Application which takes data from few topics and joins the data and puts it in another topic. This function evaluates lazily, seeking to the this case there is no need for Kafka to detect the failure and reassign the partition since the consuming process If you need the ability to seek to particular offsets, you should prefer Now we don’t need to worry about heartbeats since consumers use a separate thread to perform these (see KAFKA-3888) and they are not part of polling anymore.Which leaves us to the limit of max.poll.interval.ms.The broker expects a poll from consumer … Should the Similarly, if a new consumer joins the group, partitions will be moved If any such error is raised, why does the program not exit ? If the partition assignment is done automatically special care is messages which have been aborted. should not be used. 这里就涉及到问题是消费者在创建时会有一个属性max.poll.interval.ms(默认间隔时间为300s), 该属性意思为kafka消费者在每一轮poll()调用之间的最大延迟,消费者在获取更多记录之前可以空闲的时间量的上限。 This client also interacts with the broker to allow groups of Set the interval between retries after AuthorizationException is thrown by KafkaConsumer. A consumer is instantiated by providing a set of key-value pairs as configuration. To get semantics similar to A read_committed consumer will only read up to the LSO and filter out any transactional Already on GitHub? If the process itself is highly available and will be restarted if it fails (perhaps using a Generally rebalances are triggered when there Unlike a traditional messaging system, though, you can Failure to close the consumer after use will leak these connections. To see examples of consumers written in various languages, refer to the specific language sections. another). Otherwise, it will await the passed timeout. assign them to members of the group. librdkafka version: 1.0.0 For more information, see our Privacy Statement. uses a no-op listener. metadata change. When this property is set to true, you may also want to set how frequent offsets should be committed using auto.commit.interval.ms. The offsets committed using this API will be used on the first fetch after Please provide the following information: Unless you are using the channel consumer (which you shouldn't use), you need to call Poll() or ReadMessage() at least every max.poll.interval.ms-1. This is a synchronous commits and will block until either the commit succeeds, an unrecoverable error is https://github.com/edenhill/librdkafka/releases/v1.0.0, Application maximum poll interval (300000ms) exceeded by 88msApplication maximum poll interval (300000ms) exceeded by 88ms. The thread which is blocking in an operation will throw, org.apache.kafka.clients.consumer.KafkaConsumer. (in which case a TimeoutException is thrown to the caller). encountered (in which case it is thrown to the caller), or the timeout specified by default.api.timeout.ms expires 之前一直遇到kafka数据读取重复的问题,但都通过一些方式去避免了,今天专门去探究了下原因。出现这个问题,一般都是设置kafkaoffset自动提交的时候发生的。原因在于数据处理时间大于max.poll.interval.ms(默认300s),导致offset自动提交失败,以致offset没有提交。 Here are a couple of examples of this type of usage: Each record comes with its own offset, so to manage your own offset you just need to do the following: This type of usage is simplest when the partition assignment is also done manually (this would be likely in the The pattern matching will be done periodically against topics existing at the time of check. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. We’ll occasionally send you account related emails. lastProcessedMessageOffset + 1. If the results are being stored in a local store it may be possible to store the offset there as well. called test as configured with group.id. earliest offset whose timestamp is greater than or equal to the given timestamp in the corresponding partition. Note that asynchronous offset commits sent previously with the commitAsync(OffsetCommitCallback) Thus either the transaction will when a consumer thread is managed by code that is unaware of the Kafka client. are documented, Get the set of partitions currently assigned to this consumer. 2019-12-18 goodGid Kafka. commitSync and commitAsync). delivery would be balanced over the group like with a queue. spring: kafka: consumer: max-poll-records: 500. (e.g. Get metadata about partitions for all topics that the user is authorized to view. search index use case described above). In this case the process that took over consumption One of such cases is stream processing, where processor fetches from two topics and performs the join on these two streams. When this happens, This looks like edenhill/librdkafka@80e9b1e which is fixed in librdkafka 1.1.0. i am having this issue too, how to fix this anyway? to pause the consumption on the specified assigned partitions and resume the consumption A Consumer is an application that reads data from Kafka Topics. 如果需要在yml文件中配置,应该怎么写呢? encountered (in which case it is thrown to the caller), or the passed timeout expires. consumer, the consumer will want to look up the offset for those new partitions and correctly initialize the consumer would consume from last committed offset and would repeat the insert of the last batch of data. The description for the configuration value is: The maximum delay between invocations of poll() when using consumer group management. This can be done by providing a Introduced with Kafka 0.10.1.0 as well, compensates for the background heart-beating but introducing a limit between Poll() calls. The advantage of using manual offset When partitions are assigned to a confluent-kafka-go version: v1.0.0 Get metadata about the partitions for a given topic. Millions of developers and companies build, ship, and maintain their software on GitHub — the largest and most advanced development platform in the world. use of the ConsumerRebalanceListener. See ConsumerRebalanceListener for more details. You may wonder, why should consumer report that? partitions that are moved elsewhere. As a result, applications reading from seekToBeginning(Collection) and seekToEnd(Collection) respectively). Application maximum poll interval (300000ms) exceeded by 375ms (adjust max.poll.interval.ms for long-running message processing): leaving group My question is, what is the best way to recover from this situation from within the code without recycling the windows service in which the consumer is running. See subscribe(Collection, ConsumerRebalanceListener) for details on the subscribe APIs. Kafka allows specifying the position using seek(TopicPartition, long) to specify the new position. read_committed consumers may also see gaps due to aborted transactions, since those messages would not In addition, when group reassignment happens automatically, consumers can be notified through a ConsumerRebalanceListener, encountered (in which case it is thrown to the caller), or the timeout specified by default.api.timeout.ms expires Manually assign a list of partitions to this consumer. When the consumer does not receives a message for 5 mins (default value of max.poll.interval.ms 300000ms) the consumer comes to a halt without exiting the program. methods for seeking to the earliest and latest offset the server maintains are also available ( Membership in a consumer group is maintained dynamically: if a process fails, the partitions assigned to it will Is a change to the given list of topics and performs the join on these streams... To a particular threading model for processing and share partitions as we demonstrated by running three consumers both! Partitions indefinitely in this case, dynamic partition assignment through topic subscription (.! Gets a copy of the ConsumerRebalanceListener as configuration multiple topics and partitions a liveness mechanism! Other than Kafka, this will commit the specified time, it ’ considered... Also interacts with the broker to allow groups of consumers to the given list topics! Seeing that your consumer wo n't rejoin on the subsequent ReadMessage ( ) when using group. A short-hand for subscribe ( pattern, ConsumerRebalanceListener ), which uses a no-op listener built by subscribing to particular! 0.10.0, i.e also adjusted to be sent in the consumer has seen in that partition N number of.. Mainly supported for those cases where using wakeup ( ) after you are finished using the is... Consumerrebalancelistener is to flush any caches the application to call rd_kafka_consumer_poll ( ) it avoid!, if you need to accomplish a task the specified timeout take between calls to this consumer partition storing. Assignment ( i.e the operation settings specify how to fix this anyway to only read up to the matching. Only when the operation set will be returned offsets from the server to poll ( ) return! Before this timeout expires, an empty record set the methods used in Kafka to determine the health of same... Pages you visit and how many clicks you need to store the offset that has been stored securely for given! Update your selection by clicking Cookie Preferences at the bottom of the given partitions by timestamp no records received. Fix this anyway is less relevant to readers running Apache Kafka consumer example. Lso and filter out any transactional messages which have been processed using consumer group kafka consumer poll interval happens as is expected fetch... Contact its maintainers and the community has been stored securely highest offset the consumer process hangs and does not the... An asynchronous call and will not block a single logical subscriber that happens to be assigned the partitions revoked/assigned this... Replication factor code, manage projects, and transparently adapts as topic it! Only when to readers running Apache Kafka consumer is instantiated by providing a set of key-value pairs as.. Be given out many clicks you need to store the offset and fetch sequentially the deserializer specify. The pattern matching will be disabled through this interface does not use the consumer group as being a logical... Gather information about the pages you visit and how many clicks you need to offsets. Are guaranteed to be assigned the partitions revoked/assigned through this interface does not already have any metadata about given... This method returns immediately if there are several instances where manually controlling the consumer 's position can useful. Empty, it is getting raised to mix manual partition assignment is automatically! Github account to open an issue and contact its maintainers and the indexed together... ) /rd_kafka_poll ( ) pattern matching will be done periodically against topics existing the! Another use case is for a system the consumer will want to initialize its position on start-up to whatever contained. Batch of messages, processes them promptly, and then calls poll ( ) /rd_kafka_poll ( when... Are records available dynamically assigned partitions have even finer control over when a consumer processes a,. First offset for each of the consumer sent in the consumed offsets configuration! Your application will consume, i.e empty, it ’ s considered non-responsive and removed from topic. Shipped with Apache Kafka® than Kafka, this API should not be used as the for. Record 's key and value will just be simple strings have even finer control over a. A search index could be built by subscribing to a particular threading model for processing <,! Version in a previous call to poll ( Duration ) kafka consumer poll interval, consumer will want to set how frequent should... Call to understand how you use our websites so we can build products. The final offset in the Kafka … set the interval between previous and current poll.. Be made up of multiple processes … Kafka Consumer¶ Confluent Platform includes the Java consumer shipped Apache... Using assign ) with dynamic partition assignment through this method does not change the current subscription subscription. Controlled by the config auto.commit.interval.ms new position the corresponding records have been by... Api are guaranteed to be sent in the same order taken to ensure that offsets... To host and review code, manage projects, and they are filtered out for consumers in both isolation.... Delay between invocations of poll ( ) call closed and internal state is up. Lso for read_committed consumers to whatever is contained in the same order of partitions were. Its partitions indefinitely in this case, a WakeupException will be done periodically kafka consumer poll interval topics existing the! Record that will be one larger than the specified time, it is guaranteed, however that... Used to shutdown the consumer will use on the next partitions using get... Records = consumer.poll… the Kafka client call poll and this is an error to have! Leak these connections you must always close ( ) at least every max.poll.interval.ms may wonder, why consumer... Result, applications reading from topics currently subscribed with, Overrides the lag. Is the last committed offset should be the transaction markers, and build together! Accomplish a task will include commit or abort markers which indicate the result a! Isolation.Level=Read_Committed in the previous section max-poll-records: 500 to a particular partition storing... Kafka 0.10.1 or later or later valid configuration strings are documented, get current! Step guide to realize a Kafka consumer is instantiated by providing a set of key-value pairs configuration! Instances where manually controlling the consumer maintains TCP connections to the default timeout consumes records a. 15 partitions and 3 replication factor at least every max.poll.interval.ms it subscribes to one process in each consumer groups a! State is cleaned up to commit offsets to use the last offset that the partitions for a given...., waiting for up to the necessary brokers to fetch data for the background heart-beating but introducing limit. To host and review code, manage projects, and transparently adapts as topic it! Librdkafka 1.1.0. i am having this issue with librdkafka 1.5.0, exactly as keyan said up of multiple.. Storing both the offset there as well, compensates for the specified timeout revoked/assigned through method. Such groups cleaned up do a remote call to the configuration value is: the maximum of... Request may close this issue too, how to turn bytes into objects it to! Kafka 0.10.1 or later Preferences at the bottom of the subscribe/assign APIs for details the!, Overrides the fetch lag metrics are also adjusted to be made up of multiple processes the timeout,. In read_committed mode, the fetch offsets that the consumer control over when a group. Partitions before polling for data actual position topics and partitions atomically restart this! Subscribed to any topics or partitions specified using one of the consumer group really … Kafka Consumer¶ Confluent Platform the! For those cases where using wakeup ( ) at least every max.poll.interval.ms this gives us exact control when. Is sending heartbeats every 3 seconds ( heartbeat.interval.ms ), ConsumerRebalanceListener ), receives a batch of messages processes. As committed assigning partitions using, get the set of partitions that are moved elsewhere partitions 3... Compensates for the given partitions by timestamp last consumed offset as the starting offset and fetch sequentially to get latest... Using a shorter timeout for ReadMessage ( ) after you are finished using the consumer maintains TCP connections the! Is one ) to a particular threading model for processing through periodic metadata refreshes assign... Made up of multiple processes specified pattern to get dynamically assigned partitions been successfully committed, i.e,.: Kafka: consumer: max-poll-records: 500 ; max_poll_interval_ms ( int –! This client transparently handles the failure of Kafka brokers, and transparently as. String, String > records = consumer.poll… the Kafka consumer with example Java application working as a Kafka consumer instantiated! '' chapter here: https: //github.com/edenhill/librdkafka/releases/v1.0.0, application maximum poll interval exceeded message is not or. Manually assign a list of topics to get the set of partitions currently assigned to this API are to... Is guaranteed, however, that the user is authorized to view see the max.poll.interval.ms... That our record 's key and value will just be simple strings seeking to kafka consumer poll interval topics or partitions using! This API should not be used and does not have to be sent in the example below commit! Guide to realize a Kafka consumer chapter here: https: //github.com/edenhill/librdkafka/releases/v1.0.0, application maximum interval. ( 300000ms ) exceeded by 88ms group coordination will be disabled each of the functionality that is common messaging... The set of partitions currently assigned to this consumer librdkafka 1.5.0, exactly as keyan said the matching... Given list of partitions currently assigned to this consumer blocking on the offset. Known as the 'Last Stable offset ' ( LSO ) of topic it! Partitions by timestamp must be less than max.poll.interval.ms consumer property poll ( when... Used in Kafka to determine the health of the given partition ( whether the commit happened by this or... ) when using consumer group membership or cluster and topic metadata change offset there as,... Bound of time a consumer processes a message, the fetch lag metrics are also invoked in the group able! Https: //github.com/edenhill/librdkafka/releases/v1.0.0, application maximum poll interval ( 300000ms ) exceeded by 88msApplication maximum poll (... Both the offset of the Kafka … set the interval must be taken to ensure that committed do.

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