Kafka producer multi thread. Kafka Producer Design Apache Kafka® is an open-source distributed streaming system used for stream processing, real-time data pipelines, and data integration at scale. The Kafka producer instance is shared between the main thread and the worker thread reading the Excel file. I was reading the Kafka page, the new Producer API is thread-safe and sharing single instance will improve the performance. When implementing a multi-threaded consumer architecture, it is important to note that the Kafka consumer is not thread safe. ThreadPoolExecutor(max_workers=10) as executor: A dev gives a quick tutorial on how get up and running with the ExecutorService portion of the consumers in your Kafka application in a three step process. This section gives an overview of the Kafka producer and an introduction to the configuration settings for tuning. I want to use the Transactional feature of Kafka consumer and producer in the project. When using a concurrent message listener container, a single listener instance is invoked on all consumer threads. All code samples I see seem to support a single producer, reading config from app during app startup. If you need better performance, try experimenting with multiple threads sharing one producer. 11 Kafka consumers could be either multi process or multi threading (make sure the client library used correctly supports Kafka Consumer Group, required in early version of Kafka), the choice is up to you. So if you want multiple consumers to process the message/record you can use different groups for the consumers. How can I use Spring boot for developing a multi-thread consumer and producer? There are many ways to design multi-threaded models for a Kafka consumer. This is why the single-threaded model is commonly used. This design choice simplifies the architecture of applications that require concurrent message production, as it eliminates the need for complex synchronization mechanisms. This topic provides Kafka and Confluent Platform producer configuration parameters. The kafka broker assigns the partitions whose messages will be delivered to these threads. NET library that provides a high-level producer, consumer and AdminClient compatible with all Apache Kafka® brokers version 0. Kafka’s behavior using Multiple threads Core Java implementation of a Kafka Producer-Consumer system using a queue (BlockingQueue) instead of Kafka itself. The Kafka producer is designed to be thread-safe, allowing multiple threads to share a single producer instance. I'm planning to build a critical component which produces the messages to kafka. Kafka can be run using local scripts and downloaded files or the docker image. However, using Spring Kafka, if I can easily define multiple threads within a single WAR and deploy this WAR to multiple instances, then I am optimizing my existing solution. 2. In my existing solution, I have a single threaded consumer, deployed to multiple instances. This topic describes how Kafka producers are designed to enable load balancing and asynchronous send operations. 15 I have an application that may need multiple producers. But when used with DefaultKafkaProducerFactory which produces singleton Producer object, all thread-local producer of KafkaTemplate points to same single Producer, thus sharing send queue. 8. You can find a changelog of release updates in the GitHub client repo. My doubt is: have we mutiple consumer istance with single-thread or one consumer with many threads? A consumer group refers to a set of consumers or a one multi-thread consumer?. Each thread instantiates one producer. tgz $ cd kafka_2. It will help you fill those batches quicker while keeping your messages in order. I want to use multiple threads for sending events via Kafka's Consumer Java-API. I need to produce a lot of messages in Kafka as efficient as possible. May 9, 2019 · Can anyone help me in implementing the threads in my Kafka producer program? My Producer will be producing over a million records & so I want to implement threads for the same. Your suggestion actually hints toward the second solution. Learn three different methods of subscribing a Kafka consumer to multiple topics. The Kafka producer is conceptually much simpler than the consumer since it does not need group coordination. So My question is, do I need to add multithreading code to producer (like consumergroup class has) to support huge number of requests? I read producer send method is thread safe. What is the best way to implement a multi-threaded Kafka producer in Java? Should I create a fixed-size thread pool and submit sendMessage tasks, or is there a more Kafka-friendly approach? Conclusion Effective Docker image management is crucial for maintaining an efficient and organized development environment. I have created sample kafka sync producer and consumergroup programs using kafka_2. 13-4. Scaling up Kafka producers are thread-safe. Since the file reading is done in one thread, thread safety concerns related to Kafka producer access are minimized. NET Client for Apache Kafka Confluent develops and maintains confluent-kafka-dotnet, a . So I need a multi-thread consuming and producing for this requirement. Oct 2, 2024 · To implement a multi-threaded Kafka consumer using Java, you can follow several strategies. Does it mean i can use single Producer to publish messages to multiple topics? class kafka. Contribute to howtoprogram/Kafka-MultiThread-Java-Example development by creating an account on GitHub. The run-method of my thread looks like this: @Override public void run() { logger. A producer partitioner maps each I am a new student studying Kafka and I've run into some fundamental issues with understanding multiple consumers that articles, documentations, etc. A naive approach might be to process each message in a separate thread taken from a thread pool, while using automatic In this article, we’ll explore how Kafka can seamlessly integrate with multi-threaded applications, enabling parallel processing, fault tolerance, and high scalability. Kafka Producer for Confluent Platform An Apache Kafka® Producer is a client application that publishes (writes) events to a Kafka cluster. TABLE_CACHE_MAX_STORAGE_FRACTION_FOR_INGEST_AND_HTTP_ONLY Instead, divide your logic into threads that use the same Kafka producer. The jist of this approach is as follows: Apache Kafka is a distributed streaming platform that has become a cornerstone in modern data processing architectures. Explore the threading models and concurrency strategies in Apache Kafka, focusing on optimizing performance and ensuring thread safety in producers and consumers. 10 I am just exploring Kafka, currently i am using One producer and One topic to produce messages and it is consumed by one Consumer. Multi-threaded consumer model In the thread per consumer model, each thread is instantiated and connects to Kafka broker. In multi-threaded web environment, every thread must wait for the messages not only from its own but all the messages other threads already sent. Producer Latency Increase – Troubleshooting in 7 Points 1️⃣ Check Producer Metrics Analyze request latency, retry rate, batch size, and buffer availability to identify where delays originate. 0. 2️⃣ Abstract This paper examines multi-threaded Kafka producer applications, and how the per-formance of such applications is afected by how the number of producer instances relates to the number of executing threads. We will analyze how to achieve it with Spring Boot and Spring for Kafka. We will explore a multi-threaded consumer model. In this c Parallel Apache Kafka client wrapper with per message ACK, client side queueing, a simpler consumer/producer API with key concurrency and extendable non-blocking IO processing. That is the recommended way of scaling up. It takes messages from your application and delivers them to Kafka topics with guaranteed reliability. info("Producer This post describes how to configure Multiple Kafka Producer in Spring Boot application from a property file having different configurations such as Kafka cluster, topic, etc. Thread per consumer model. One th Kafka Producer Configuration Reference for Confluent Platform Confluent Platform is a data-streaming platform that completes Kafka with advanced capabilities designed to help accelerate application development and connectivity for enterprise use cases. So, let’s delve into the world of Kafka’s architecture and practical benefits of this tool for a multi-threaded application. If the code you include runs in a single thread, your producer can issue only a single message at once. Answer Sharing a Kafka producer between threads is crucial for optimal throughput and resource utilization in multi-threaded applications. very simple. Step 1: Get Kafka Download the latest Kafka release and extract it: $ tar -xzf kafka_2. What happens now is assuming you have 10 partitions of a topic, each partition will be submitted to its own thread and it will be processed concurrently. In Kafka topics, records are grouped into In a high volume real time java web app I'm sending messages to apache kafka. Learn about thread safety, sharing producer instances, and best practices for error handling in multi-threaded environments. 2-0. Producer parallelism refers to the ability to send messages to Kafka topics from multiple threads or processes simultaneously, which can significantly improve the Need more context on both your code and the question, but to produce events in parallel, you need multiple threads to produce messages. In this tutorial, learn how to optimize a Kafka producer for throughput, with step-by-step instructions and supporting code. 9. Explore advanced threading models for Kafka producers, focusing on maximizing throughput and ensuring safe concurrent message production. Listeners, therefore, need to be thread-safe, and it is preferable to use stateless listeners. The topic described today, concurrency with Kafka and Spring Boot, rather deals with the basic issues. In the multi-threaded consumer mode, a single thread connects to Kafka and may get data from multiple / single partition (s). Multi-threaded access must be properly synchronized, which can be tricky. This producer will read the History table to find which table and which row to pick and then that row will be added Kafka topic. Multi-Threaded Kafka Consumer. Conceptually you can think of a consumer group as being a single logical subscriber that happens to be made up of multiple processes. Here is a simple example of using the producer to send records with strings containing sequential numbers as the key/value pairs. One of the key aspects of using Kafka effectively is understanding how to achieve parallelism in Kafka producers. A typical single-threaded implementation is centered around a poll loop. 1. 2 I am newbie to kafka. By regularly removing unnecessary images, you can save disk space and improve system performance. Think of a Kafka producer as a high-speed postal service that never sleeps. Oct 14, 2025 · In this blog post, we will explore the core concepts of Kafka producer thread safety, provide typical usage examples, discuss common practices, and present best practices for using Kafka producers in a multi-threaded environment. Ensure that you understand each command and its implications before executing them, especially when using force deletion or pruning all resources. The producer manages a single background thread that does I/O as well as a TCP connection to each of the brokers it needs to communicate with. Apache Kafka is a powerful distributed streaming platform that allows multiple producers and consumers to interact with data in real-time… Learn how to configure multiple listeners for the same Kafka topic using Spring Boot. The producer is thread safe and sharing a single producer instance across threads will generally be faster than having multiple instances. Now the producer needs to make sure the events are added to the Kafka topic in the same way the History table has logged In. Multi-threaded consumer model ⌗ In this blog, we will explore ways to increase the concurrency of a kafka consumer so that we can achieve more with a single consumer than simply increasing the number of partitions. This approach simulates Kafka’s … Is it possible to have single instance of a Kafka producer shared between multiple threads to send messages to multiple topics? Is there any concurrency issue I might want to be aware of before? On the other hand, Kafka producers are thread-safe and can be shared among multiple threads. What is a producer? In Kafka Consumer, There are different threaded methods for consuming messages from topics. 0 Step 2: Start the Kafka environment NOTE: Your local environment must have Java 17+ installed. If there are multiple producers and we want to pass in different producer config, is there out of the box support in Spring? Or should I just go without spring in that case? a CONSUMER of the the group can have multiple streams namely the number of threads that read from the topic and the best practice is to have one thread for partition. Multi-threaded Kafka Consumer Start a thread pool with max_workers equivalent to the number of partitions your topic has. 8 and later, Confluent Cloud and Confluent Platform. New requests are queued to one of the multiple queues in an event server instance, which is then processed by multiple parallel Kafka producer threads. The default Kafka consumer is only single-threaded, so it can only process records sequentially, with committing done automatically upon successful record processing. Currently I'm sending to a single topic, but in the future I might need to send messages to multiple topics. KafkaProducer(**configs) [source] A Kafka client that publishes records to the Kafka cluster. If it is not possible to make your listener thread-safe or adding synchronization would significantly reduce the benefit of adding concurrency, you can use one of a few techniques: Although each consumer is single-threaded, the processing of records can leverage multiple threads. The producer consists of a RecordAccumulator which holds records that haven’t yet been transmitted to the server, and a Sender background I/O thread Overall, the use of multi-threaded consumers has proven to be a valuable strategy for improving the efficiency and scalability of our Kafka-based event processing systems. The most common approach is to assign each Kafka partition to a separate thread. with concurrent. Simply call the `producer` function of the client to create it: TABLE_CACHE_MAX_STORAGE_FRACTION_FOR_INGEST_AND_HTTP_ONLY Kafka producer是单线程的，但是有时候会有单进程大量写入数据到kafka的需求，这时单线程的producer往往就难以满足需求，但是如果在每个发送线程里new一个新的producer又太浪费资源，因此我们想是否能有办法像数据库连接池一样复用kafka连接最终实现多线程写入 . When done correctly, it reduces the overhead of creating multiple producer instances and allows for more efficient message production. Event server also uses multiple sliding queues to control the number of outstanding requests from clients. In simpler words, Kafka message/record is processed by only one consumer process per consumer group. If it is not possible to make your listener thread-safe or adding synchronization would significantly reduce the benefit of adding concurrency, you can use one of a few techniques: When using a concurrent message listener container, a single listener instance is invoked on all consumer threads. futures. Basically, it’s an in Mar 24, 2016 · The producer is thread safe and should generally be shared among all threads for best performance. - confluentinc/paral To publish messages to Kafka you have to create a producer. Multi-threaded Application With Simple Apache Kafka Consumers With code examples in Kotlin The first time any new-to-Kafka engineer tries to do anything more complex than a simple read-quick … Create Multi-threaded Apache Kafka Consumer. have not been too helpful with so far. I'm just thinking, is there any way that python multithreading will help us in writing the efficient kafka producer A high throughput multi-threaded ordered Kafka consumer When events are being consumed from a Kafka topic which has multiple partitions and high volume of generated events, the slow speed of … How multi threaded Kafka Producer will work when u have single source of streaming data? You might want to use some sort of intermediate state to track the primary keys of your events which are successfully stored in kafkastream. I have a producer which will be multi-threaded. 7siso3, j3uyq, tq66s, ikyqv, 9x6dw2, eiq9, qnatx, uheur, 8hdcgz, sob9g9,