Kafka consumer group multiple topics. sh tool that en...

Kafka consumer group multiple topics. sh tool that enables you to check the consumer position and view general consumer group info. When messages are published to the topic, they are delivered to only one member of the group. I need to consumer messages from different kafka topics, Should i create different consumer instance per topic and then start a new processing thread as per the number of partition. The Producer API to publish (write) a stream of events to one or more Kafka topics. Now, if C1 dies, will C2 consumes message from both the topics T1 and T2 ? Learn about Kafka consumer groups and their role in enhancing scalability by enabling multiple consumers to read from the same topic in parallel. opentelemetry. SdkMeter A beginner's guide to Apache Kafka covering topics, partitions, consumer groups, and producers for event streaming. The short answer is: Yes, a Kafka consumer can listen to (or subscribe to) multiple topics. 4 I have two different kafka topics T1 and T2, both having one consumer each C1 and C2 respectively. When a new consumer is started it will join a consumer group (this happens under the hood) and Kafka will then ensure that each partition is consumed by only one consumer from that group. Unlike consumer groups, share groups balance the partitions between all members of the share group permitting multiple consumers to consume from the same partitions. We’ll explore how to configure a consumer to subscribe to multiple topics, handle offsets reliably (critical for data integrity), and scale your solution as throughput demands grow. sh Even Kafka documentation explained about this scenario but nowhere mentioned how to do it. All topics have also different message arrival View Consumer Group Info in Kafka Apache Kafka® is an open-source distributed streaming system used for stream processing, real-time data pipelines, and data integration at scale. Offsets are maintained by zookeeper, as kafka-server itself is stateless. Any help is appreciated !!! The Consumer API allows applications to read streams of data from topics in the Kafka cluster. What is a consumer group in Apache Kafka? Consumer groups allow Kafka consumers to work together and process events from a topic in parallel. When subscribing to multiple topics, the consumer. Instrument names must consist of 255 > or fewer characters including alphanumeric, _, . We have a distributed, centralized logging ELK platform, and we often receive consumer lag reports I learnt bit about back pressure in The risk of delay is accumulating technical debt against a hard deadline. If my understanding is correct based on the How does Kafka achieve this? Each topic consists of one or more partitions. Streams leverages the Java Producer and Consumer API. One of the powerful features of Kafka is the ability to consume messages from multiple topics simultaneously using a multi-topic consumer. I don't event think it's possible to use a single consumer for multiple topics with different formats. SdkMeter. We are proud to announce the release of Apache Kafka® 4. Each consumer in the group processes messages from different partitions, providing scalability and fault tolerance. In this post we discuss examples where consumers would listen to multiple topics versus only one. This is a common requirement when the same business logic is used for various topics. These consumers collectively read data as part of a consumer group. This is particularly problematic when topics have high message rates, as consumers must handle the combined throughput from all subscribed topics simultaneously. Master Kafka consumer configuration : subscribe to multiple topics for scalable, real-time data processing. For instance, consider a Kafka topic divided into five Topic-1 has 6 partitions, now I want to create 3 consumer groups cg1,cg2 and cg3 and map it like this (cg1 - 0,1 ; cg2 - 2,3 ; cg3 - 4,5). To maintain scalability while enabling delay processing in main topics, we introduced DelayProcessManager into the Consumer Proxy fetcher thread. 2. Here’s a simple breakdown: 🔹 Producer – Sends messages to Kafka. Our cluster runs Kafka 0. Let us assume I create two consumer groups for this topic - G1 and G2 via two different consumers C1 and C2. We cannot use arbitrary consumer groups so Admin has to create required consumer groups. Kafka will deliver each message in the subscribed topics to one consumer in the share group. checkValidInstrumentName (SdkMeter. Learn more about events, topics, partitions, and event processing. This allows multiple consumers to work together to process large volumes of data more efficiently. By subscribing to multiple topics, consumers can efficiently handle data ingestion for various use cases and scenarios. This blog post will highlight some of the more prominent ones. Kafka Streams natively integrates with the Kafka’s security features and supports all of the client-side security features in Kafka. Restarting the application fixes the issue temporarily for some topics. Additionally, Kafka's persistent data structure for storing Hi all, I have been trying to understand behavior of Kafka under the following scenario: Let us assume I have a topic T, that has P partitions. The Consumer API to subscribe to (read) one or more topics and to process the stream of events produced to them. Apache Kafka Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Oct 14, 2025 · This is extremely useful in scenarios where you need to process related data from different sources or perform complex data aggregations. This release contains many new features and improvements. I'm currently thinking about if it makes sense to have a Kafka consumer consuming from 20 different topics, all with a differnet number of partitions. 0. This is extremely useful in In this guide, we demonstrated how to set up multiple producers and multiple consumers in a Kafka topic without using consumer groups. Aug 1, 2025 · Using consumer groups to listen to multiple topics generates higher load on the Kafka cluster [1]. Learn to configure multiple consumers listening to different Kafka topics in a Spring boot application using Java-based bean configurations. Backpressure in Kafka I recently worked in Observability. One of these groups will have a single consumer, and the other will have two consumers. The ability to commit offsets is crucial to ensure data processing reliability. Then, each consumer gets two different partitions. In this blog post, we will explore the core concepts, typical usage, common practices, and best practices of Kafka multi-topic consumers. or I should What I know: Multiple consumers can run on a single partition when running multiple consumers with multiple consumer group id and only one consumer from a consumer group can consume at a given time from a partition. AssertionError: null at > io. I know that a consumer group can handle the consumption of multiple topics, but, what are the benefits of it? I know one con: whenever I need to reset the offset for one topic within the consumer group, kafka forces me to stop the consumption from all the topics in the consumer group, and this is a big pain for 🧠 Phase 1 – Kafka Fundamentals Learned 1️⃣ What is Apache Kafka? Apache Kafka is a distributed event streaming platform used to build real-time data pipelines and streaming applications. How Kafka Consumer Groups Work At a high level, a Kafka consumer group is a set of consumers that are subscribed to a single Kafka topic. Near term: KIP-848 client adoption. The new consumer group protocol is enabled on brokers in Kafka 4. The version of Kafka we use in the examples is 3. metrics. protocol=consumer will gain the stability benefits of incremental rebalances. A Kafka consumer group allows multiple In this hands-on lab, we will have the opportunity to consume data from a Kafka topic using multiple consumers groups. In this guide, we demonstrated how to set up multiple producers and multiple consumers in a Kafka topic without using consumer groups. One of the key features of Kafka is the concept of consumer groups. Hey all! I have a question for you, is about having more or less consumer groups. Kafka Queues (Share Groups) is now production-ready with new features like the RENEW acknowledgement type for extended processing times, adaptive We are facing an intermittent issue with Spring Kafka where a consumer stops processing messages after some time. Step-by-step guide with code examples. subscribe method is utilized, Apache Kafka is a distributed streaming platform that has gained immense popularity in the world of data processing and real-time analytics. Going through this will provide a firsthand look at how different consumers and consumer groups handle messages in Kafka. In this tutorial, we’ll discuss how to remove a specific topic from a consumer group in Kafka using the command line. lang. There is no need for multiple threads, you can have one consumer, consuming from multiple topics. , -, /, and start with a > letter. 2. Explore the benefits and challenges of multi-threading vs. What is a Kafka consumer group? Answer: A Kafka consumer group is a group of consumers that work together to consume messages from one or more topics. 🔹 Broker – Stores and serves messages (Kafka cluster = multiple brokers). . I'm thinking that a better approach would be to have a single consumer group per topic. This way, no single consumer has to handle all the requests, and the system is highly available. This installment in the Kafka series covers consumer architecture, consumer groups, how record processing is shared, and failover for Kafka consumers. 0] at > io. It’s possible to group multiple consumers to form a consumer group. I understand that a consumer belonging to a single consumer group can consume messages from multiple topics. The consumer groups are not pre-defined, and let us say the consumer is creating a consumer group. single threading, and learn to write multi-threaded Kafka consumers for effective parallel processing. While setting up ACL to multiple topics and a single consumer group, something like below will help me read from 2 topics while belonging to the same consumer group ccloud kafka acl create --allow --service-account sa-55555 --operation READ --operation DESCRIBE --consumer-group java A Kafka consumer group is a set of consumers that supports parallel processing of records from a topic. It allows you to publish and subscribe to streams of records, similar to a message queue or enterprise messaging system. sh or kafka-consumer-groups. So if you want multiple consumers to process the message/record you can use different groups for the consumers. If a consumer fails, another consumer in the group will take over its partitions. Kafka provides a kafka-groups. The Share consumer API allows applications in a share group to cooperatively consume and process data from Kafka topics. My question is related to multiple consumers from multiple consumer groups consuming from the same topic: Hi, Is it a good idea to have multiple consumers having same group id and connecting to multiple topics? My concern is that if one consumer is likely to fail more than others, the whole group will be in rebalance mode, and it will delay consuming for healthy consumers. Kafka topics natively support multiple partitions for scalability, so we can’t apply the above delay processing method to Kafka main topics. 7. The Kafka Streams API to implement stream processing applications and microservices. The Consumer API allows applications to read streams of data from topics in the Kafka cluster. Dec 27, 2025 · In this guide, we’ll deep dive into the single consumer approach for consuming from multiple Kafka topics. Producer → Topic → Partition → Consumer Offset tracks how much data consumer has processed For example, there is a web application that handles user requests and logs them to a Kafka topic with four partitions and a consumer group with two consumers to process the request. How can i create it using kafka-console-consumer. And we address concerns about potential impacts on Kafka’s performance and hardware requirements. Consumer groups allow multiple consumers to work together to consume messages from Kafka topics in a coordinated manner. 11 and has strict restrictions on using consumer groups. jar:1. C1 and C2 have the same consumer group G1. java. java:324) > ~ [opentelemetry-sdk-metrics-1. or I should Apache Kafka is a distributed streaming platform that has become a cornerstone in modern data architectures. However, a single consumer can read all messages from a topic on its own, or multiple consumer groups can read from a single Kafka topic—it just depends on your use case. Jan 8, 2024 · In this tutorial, we’ll learn how to subscribe a Kafka consumer to multiple topics. This enables scalable and fault-tolerant message consumption Producers write data to topics, while consumers read data from topics. For a full list of changes, be sure to check the release notes. Consumer Lag and Topic Backlog Consumer lag measures how far behind a consumer group is compared to the head (latest offset) of the topic partitions it subscribes to. 0 but clients must opt in. Learn how to set up a Kafka consumer to listen to multiple topics efficiently. When Kafka needs scaling, an application will utilize multiple consumers. sdk. Consumer teams that update their configuration to use group. This configuration is beneficial when you need all consumers to process the entire stream of data independently. Consumers are assigned a subset of partitions from a topic or set of topics and can parallelize the processing of those events. To secure your Stream processing applications, configure the security settings in the corresponding Kafka producer and consumer clients, and then specify the corresponding configuration settings in your Multiple consumers in a group can read different partitions simultaneously—this is how Kafka scales horizontally. In simpler words, Kafka message/record is processed by only one consumer process per consumer group. In Kafka, consumers can subscribe to and consume messages from multiple topics using the available APIs. 53. What is a Kafka Consumer Group? At the heart of Kafka’s design is the ability to handle data at scale, and consumer groups are crucial to this capability. 🔹 Topic – Logical category for messages Kafka - Top 25 Interview Questions - tutorialQ 6. t2fmce, pia0ci, b2yc, qklucy, dg58q, z2us, jelehe, 9hpl5, gmjx, uvde,