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Transformateur de flux Apache Kafka

Traite les flux d'événements en temps réel à l'aide de groupes de consommateurs KafkaJS et transforme les messages avec des schémas configurables. Gère le rééquilibrage des partitions, les validations d'offset et le routage des files d'attente de lettres mortes pour les transformations échouées.

Qu'est-ce que Transformateur de flux Apache Kafka ?

Cette compétence permet de traiter des flux d'événements en temps réel avec Apache Kafka, en utilisant des groupes de consommateurs KafkaJS pour lire et transformer des messages selon des schémas configurables. Elle gère automatiquement le rééquilibrage des partitions lors des changements de configuration du groupe, valide les offsets après chaque transformation réussie, et achemine les messages ayant échoué vers une file d'attente de lettres mortes (DLQ) pour éviter la perte de données. Compatible avec KafkaJS et l'écosystème Apache Kafka, elle s'intègre facilement dans des environnements conteneurisés (Docker) et des pipelines de données en streaming. Son utilisation est particulièrement utile pour les développeurs construisant des architectures orientées événements, des pipelines de transformation en temps réel ou des microservices de traitement de flux.

Compatible avec~Claude Code~Codex CLI✓Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-kafka-stream-transformer-2
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Documentation

Que fait Transformateur de flux Apache Kafka ?

Traite les flux d'événements en temps réel à l'aide de groupes de consommateurs KafkaJS et transforme les messages avec des schémas configurables. Gère le rééquilibrage des partitions, les validations d'offset et le routage des files d'attente de lettres mortes pour les transformations échouées.

Installation

Utilisez le chemin d'installation ou de configuration en amont adapté à votre environnement :

  • docker run -p 9092:9092 apache/kafka:latest

Exigences et mises en garde provenant de l'amont :

  • Utilisation de l'image docker :
  • Voir docker/README.md pour des informations détaillées.

Notes d'utilisation de base ou de démarrage :

Documentation

Source

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This repo contains 20 individual skills — each has its own dedicated page.

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Add graph-backed memory and context retrieval to agent workflows

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