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  1. 123

    The Kafka Producer API is a core component of Apache Kafka, enabling developers to publish (write) streams of events to Kafka topics. Producers are responsible for sending data to specific topics, which are further divided into partitions. This API is highly configurable, allowing developers to fine-tune its behavior for various use cases.

    Key Features of the Kafka Producer API

    The Producer API allows developers to:

    • Send messages to Kafka topics: Messages can be sent asynchronously using the send() method.

    • Control message delivery semantics: Configure acknowledgments (acks) to ensure durability or performance.

    • Use message keys: Keys ensure that messages with the same key are sent to the same partition, maintaining order.

    • Enable compression: Reduce message size using compression options like gzip or snappy.

    • Handle retries: Automatically retry failed requests to ensure reliability.

    Example: Basic Kafka Producer Implementation

    Below is an example of a simple Kafka producer in Java:

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  2. Confluent Documentation
    https://docs.confluent.io › kafka › kafka-apis.htmlこの結果を翻訳する

    Kafka APIs | Confluent Documentation

    Use the Kafka Streams API to implement applications and microservices that perform stream processing operations on data in Kafka. Input is read from one or more topics to generate output to …

  3. Medium
    https://medium.com › building-an-api...この結果を翻訳する

    Building an API Endpoint for Apache Kafka: A Step-by …

    2023年9月19日 · To leverage the power of Kafka, it’s crucial to have well-defined API endpoints that allow applications to produce and consume messages …

  4. upstash.com
    https://upstash.com › blog › integrating-a…この結果を翻訳する

    Best practices for using Kafka to process 3rd-party API …

    2024年4月22日 · The best strategy for getting API data into Kafka depends on the API you're working with and which features it supports. Generally, you'll want to …

  5. Github
    https://github.com › confluentinc › kafka-streams-examplesこの結果を翻訳する

    confluentinc/kafka-streams-examples - GitHub

    • For additional examples that showcase Kafka Streams applications within an event streaming platform, please refer to the examples GitHub repository.
    github.com でさらに表示
  6. Baeldung
    https://www.baeldung.com › spring-kafkaこの結果を翻訳する

    Intro to Apache Kafka with Spring - Baeldung

    2025年12月29日 · Apache Kafka is a distributed and fault-tolerant stream processing system. In this tutorial, we’ll cover Spring support for Kafka and its …

  8. apoclyps.github.io
    https://apoclyps.github.io › kafka-by-exa…この結果を翻訳する

    Kafka By Example | kafka-by-example

    This tutorial is for you if you’ve got some programming experience and if you’re not too familiar with Kafka (v0.10.2.1). It can still be useful if already experienced …

  9. Apache Kafka
    https://kafka.apache.org › apisこの結果を翻訳する

    API | Apache Kafka

    2025年12月19日 · The Producer API allows applications to send streams of data to topics in the Kafka cluster. The Consumer API allows applications to read streams of data from topics in the Kafka cluster.

  10. DataCamp
    https://www.datacamp.com › tutorial › kafka-streams-tutorialこの結果を翻訳する

    Kafka Streams Tutorial: Introduction to Real-Time Data Processing

    2025年4月9日 · Learn how to build real-time data processing applications with Kafka Streams. This guide covers core concepts, Java & Python implementations, and step-by-step examples for building …

  11. Hevo Data
    https://hevodata.com › learn › kafka-conn…この結果を翻訳する

    How to Configure Kafka Connect Rest API Easily? - Hevo …

    2024年10月13日 · By diving into Apache Kafka And Kafka Connect, learn how to configure Kafka Connect Rest API with this step-by-step guide and its benefits.

  12. Dev Genius
    https://blog.devgenius.io › comprehensiv…この結果を翻訳する

    Comprehensive Guide to Apache Kafka: Architecture, …

    2025年1月26日 · Use Kafka to collect logs or events from various sources and analyze them in real time using Kafka Streams or Apache Flink. Example: …

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