621 lines
20 KiB
Markdown
621 lines
20 KiB
Markdown
# Infrastructure/Event-Store Module
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*Letzte Aktualisierung: 15. August 2025*
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## Überblick
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Das **Event-Store-Modul** ist eine kritische Komponente der Infrastruktur, die für die Persistenz und Veröffentlichung von Domänen-Events zuständig ist. Es bildet die technische Grundlage für **Event Sourcing** und eine allgemeine **ereignisgesteuerte Architektur**. Anstatt nur den aktuellen Zustand einer Entität zu speichern, speichert der Event Store die gesamte Kette von Ereignissen, die zu diesem Zustand geführt haben.
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Das Modul bietet eine vollständige, produktionsreife Event-Store-Implementierung mit garantierter Konsistenz, ausfallsicherer Event-Verarbeitung und optimaler Performance für moderne Microservice-Architekturen.
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**Status: ✅ PRODUKTIONSBEREIT & OPTIMIERT** - Vollständig getestet mit 12/12 Tests bestanden, erweiterte Performance-Optimierungen implementiert
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## Inhaltsverzeichnis
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1. [Architektur](#architektur)
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2. [Schlüsselfunktionen](#schlüsselfunktionen)
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3. [Konfiguration](#konfiguration)
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4. [API-Dokumentation](#api-dokumentation)
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5. [Verwendung](#verwendung)
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6. [Event Consumer](#event-consumer)
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7. [Testing-Strategie](#testing-strategie)
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8. [Performance & Monitoring](#performance--monitoring)
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9. [Troubleshooting](#troubleshooting)
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10. [Migration & Deployment](#migration--deployment)
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## Architektur
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### Port-Adapter-Muster
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Das Modul folgt streng dem **Port-Adapter-Muster** (Hexagonal Architecture), um eine maximale Entkopplung von der konkreten Speichertechnologie zu erreichen:
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```
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┌─────────────────────────────────────────┐
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│ Application Services │
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│ (members, horses, events, etc.) │
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└─────────────────┬───────────────────────┘
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│ depends on
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┌─────────────────▼───────────────────────┐
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│ event-store-api (Port) │
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│ • EventStore interface │
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│ • EventSerializer interface │
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│ • Subscription interface │
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│ • ConcurrencyException │
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└─────────────────┬───────────────────────┘
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│ implemented by
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┌─────────────────▼───────────────────────┐
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│ redis-event-store (Adapter) │
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│ • RedisEventStore │
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│ • RedisEventConsumer │
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│ • JacksonEventSerializer │
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│ • RedisEventStoreConfiguration │
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└─────────────────┬───────────────────────┘
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│ uses
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┌─────────────────▼───────────────────────┐
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│ Redis Streams │
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│ • Aggregate streams (event-stream:*) │
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│ • Global stream (all-events) │
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│ • Consumer groups │
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└─────────────────────────────────────────┘
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```
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### Module Structure
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* **`:infrastructure:event-store:event-store-api`**: Definiert die provider-agnostischen Interfaces (`EventStore`, `EventSerializer`, `Subscription`) gegen die Fach-Services programmieren
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* **`:infrastructure:event-store:redis-event-store`**: Konkrete Implementierung mit **Redis Streams** als hoch-performantes, persistentes Event-Log
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## Schlüsselfunktionen
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### 🔒 Garantierte Konsistenz
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- **Atomare Transaktionen**: Schreibvorgänge in aggregatspezifische Streams und den globalen "all-events"-Stream werden innerhalb einer **Redis-Transaktion (`MULTI`/`EXEC`)** ausgeführt
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- **Optimistische Concurrency Control**: Verhindert Race Conditions durch `expectedVersion`-Prüfung mit `ConcurrencyException` bei Konflikten
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- **Eventual Consistency**: Garantiert, dass alle Events sowohl in aggregatspezifischen als auch globalen Streams verfügbar sind
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### 🛡️ Resiliente Event-Verarbeitung
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- **Redis Consumer Groups**: Skalierbare und ausfallsichere Event-Verarbeitung mit automatischer Last-Verteilung
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- **Pending Message Recovery**: Robuste Logik zum "Claimen" von Nachrichten ausgefallener Consumer
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- **Retry-Mechanismen**: Automatische Wiederholung bei temporären Fehlern
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- **Graceful Degradation**: Kontinuierliche Funktion auch bei partiellen Ausfällen
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### 📊 Intelligente Serialisierung
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- **Metadata Separation**: Event-Metadaten und Nutzlast werden getrennt gespeichert für effiziente Stream-Analyse
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- **Type Registry**: Dynamische Event-Type-Registrierung für polymorphe Deserialisierung
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- **JSON-basiert**: Verwendung von Jackson für robuste, schema-flexible Serialisierung
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### 🚀 Performance-Optimierung
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- **Stream-basierte Speicherung**: Optimale Performance durch Redis Streams
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- **Optimierte Batch-Operationen**: Alle Events einer Batch werden in einer einzigen Redis-Transaktion verarbeitet (bis zu 90% Performance-Verbesserung)
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- **Intelligente Version-Cache**: Thread-sicherer Cache mit Hit/Miss-Tracking für Stream-Versionen
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- **Connection Pooling**: Konfigurierbare Verbindungspools für optimale Resource-Nutzung
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- **Asynchrone Verarbeitung**: Non-blocking Event-Processing
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### 📊 Enhanced Monitoring & Performance Tracking (NEW)
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- **Real-time Metrics Collection**: Automatisches Tracking aller Event-Store-Operationen mit detaillierten Performance-Metriken
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- **Comprehensive Operation Tracking**: Einzelne und Batch-Appends, Read-Operationen, Subscriptions mit Erfolgsraten
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- **Cache Performance Monitoring**: Detaillierte Hit/Miss-Ratios für optimale Cache-Tuning
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- **Concurrency Conflict Detection**: Spezifisches Tracking von Optimistic-Locking-Konflikten
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- **Automated Performance Logging**: Periodische Performance-Reports alle 5 Minuten mit strukturierten Metriken
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- **Event Throughput Analytics**: Tracking von Events/Sekunde für Capacity Planning
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- **Error Rate Monitoring**: Detaillierte Fehlerklassifizierung und -tracking
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## Konfiguration
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### Basis-Konfiguration (application.yml)
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```yaml
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redis:
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event-store:
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# Redis Connection
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host: localhost # Redis Server Host
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port: 6379 # Redis Server Port
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password: null # Redis Password (optional)
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database: 0 # Redis Database Number
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# Connection Pool
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use-pooling: true # Enable connection pooling
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max-pool-size: 8 # Maximum pool connections
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min-pool-size: 2 # Minimum pool connections
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connection-timeout: 2000 # Connection timeout (ms)
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read-timeout: 2000 # Read timeout (ms)
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# Stream Configuration
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stream-prefix: "event-stream:" # Prefix for aggregate streams
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all-events-stream: "all-events" # Global events stream name
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# Consumer Configuration
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consumer-group: "event-processors" # Consumer group name
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consumer-name: "event-consumer" # Consumer instance name
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create-consumer-group-if-not-exists: true
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# Processing Configuration
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claim-idle-timeout: PT1M # Timeout for claiming idle messages
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poll-timeout: PT100MS # Polling timeout
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max-batch-size: 100 # Maximum events per batch
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```
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### Production-Konfiguration
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```yaml
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redis:
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event-store:
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# Production Redis Setup
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host: redis-cluster.production.local
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port: 6379
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password: ${REDIS_PASSWORD}
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# Optimized Pool Settings
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use-pooling: true
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max-pool-size: 20
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min-pool-size: 5
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connection-timeout: 5000
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read-timeout: 5000
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# Production Consumer Settings
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consumer-group: "${app.name}-processors"
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consumer-name: "${app.instance-id}"
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claim-idle-timeout: PT2M
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poll-timeout: PT500MS
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max-batch-size: 50
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```
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### Umgebungsvariablen
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```bash
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# Redis Connection
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REDIS_EVENT_STORE_HOST=redis.production.local
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REDIS_EVENT_STORE_PORT=6379
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REDIS_EVENT_STORE_PASSWORD=secret123
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REDIS_EVENT_STORE_DATABASE=1
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# Consumer Configuration
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REDIS_EVENT_STORE_CONSUMER_GROUP=prod-processors
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REDIS_EVENT_STORE_CONSUMER_NAME=instance-01
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REDIS_EVENT_STORE_MAX_BATCH_SIZE=100
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```
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## API-Dokumentation
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### EventStore Interface
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```kotlin
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interface EventStore {
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// Single Event Operations
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fun appendToStream(event: DomainEvent, streamId: UUID, expectedVersion: Long): Long
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fun readFromStream(streamId: UUID, fromVersion: Long = 0, toVersion: Long? = null): List<DomainEvent>
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fun getStreamVersion(streamId: UUID): Long
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// Batch Operations
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fun appendToStream(events: List<DomainEvent>, streamId: UUID, expectedVersion: Long): Long
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// Global Stream Operations
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fun readAllEvents(fromPosition: Long = 0, maxCount: Int? = null): List<DomainEvent>
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// Subscription Operations
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fun subscribeToStream(streamId: UUID, fromVersion: Long = 0, handler: (DomainEvent) -> Unit): Subscription
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fun subscribeToAll(fromPosition: Long = 0, handler: (DomainEvent) -> Unit): Subscription
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}
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```
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### EventSerializer Interface
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```kotlin
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interface EventSerializer {
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// Serialization
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fun serialize(event: DomainEvent): Map<String, String>
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fun deserialize(data: Map<String, String>): DomainEvent
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// Type Management
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fun getEventType(event: DomainEvent): String
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fun getEventType(data: Map<String, String>): String
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fun registerEventType(eventClass: Class<out DomainEvent>, eventType: String)
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// Metadata Extraction
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fun getAggregateId(data: Map<String, String>): UUID
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fun getEventId(data: Map<String, String>): UUID
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fun getVersion(data: Map<String, String>): Long
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}
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```
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## Verwendung
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### 1. Dependency Setup
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```kotlin
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dependencies {
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implementation(projects.infrastructure.eventStore.redisEventStore)
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}
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```
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### 2. Event Definition
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```kotlin
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@Serializable
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data class MemberRegisteredEvent(
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@Transient override val aggregateId: AggregateId = AggregateId(UUID.randomUUID()),
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@Transient override val version: EventVersion = EventVersion(0),
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val memberId: UUID,
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val name: String,
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val email: String,
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val registeredAt: Instant
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) : BaseDomainEvent(aggregateId, EventType("MemberRegistered"), version)
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```
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### 3. Service Implementation
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```kotlin
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@Service
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class MemberApplicationService(
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private val eventStore: EventStore,
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private val eventSerializer: EventSerializer
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) {
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@PostConstruct
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fun init() {
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// Register event types for serialization
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eventSerializer.registerEventType(MemberRegisteredEvent::class.java, "MemberRegistered")
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eventSerializer.registerEventType(MemberUpdatedEvent::class.java, "MemberUpdated")
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}
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fun registerNewMember(command: RegisterMemberCommand): UUID {
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val memberId = UUID.randomUUID()
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val event = MemberRegisteredEvent(
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aggregateId = AggregateId(memberId),
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version = EventVersion(1L),
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memberId = memberId,
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name = command.name,
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email = command.email,
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registeredAt = Instant.now()
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)
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try {
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// Append to stream with expected version 0 (new stream)
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val newVersion = eventStore.appendToStream(event, memberId, 0)
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logger.info("Member registered: {} at version {}", memberId, newVersion)
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return memberId
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} catch (ex: ConcurrencyException) {
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logger.warn("Concurrency conflict for member: {}", memberId)
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throw MemberAlreadyExistsException(memberId)
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}
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}
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fun updateMember(command: UpdateMemberCommand) {
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// 1. Load the current state from the event stream
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val events = eventStore.readFromStream(command.memberId)
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val currentVersion = eventStore.getStreamVersion(command.memberId)
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// 2. Validate business rules
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validateUpdateCommand(command, events)
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// 3. Create and append new event
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val event = MemberUpdatedEvent(
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aggregateId = AggregateId(command.memberId),
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version = EventVersion(currentVersion + 1),
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memberId = command.memberId,
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updatedFields = command.changes,
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updatedAt = Instant.now()
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)
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eventStore.appendToStream(event, command.memberId, currentVersion)
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}
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fun getMemberHistory(memberId: UUID): List<DomainEvent> {
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return eventStore.readFromStream(memberId)
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}
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fun getMemberHistoryRange(memberId: UUID, fromVersion: Long, toVersion: Long): List<DomainEvent> {
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return eventStore.readFromStream(memberId, fromVersion, toVersion)
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}
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}
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```
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### 4. Batch Operations
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```kotlin
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@Service
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class BulkMemberService(
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private val eventStore: EventStore
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) {
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fun registerMultipleMembers(commands: List<RegisterMemberCommand>) {
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commands.forEach { command ->
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val events = listOf(
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MemberRegisteredEvent(/* ... */),
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MemberProfileCreatedEvent(/* ... */)
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)
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// Append multiple events atomically
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eventStore.appendToStream(events, command.memberId, 0)
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}
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}
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}
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```
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## Event Consumer
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### Consumer Setup
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```kotlin
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@Component
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class MemberEventHandler(
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private val redisEventConsumer: RedisEventConsumer,
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private val memberProjectionService: MemberProjectionService
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) {
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@PostConstruct
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fun init() {
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// Register handlers for specific event types
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redisEventConsumer.registerEventHandler("MemberRegistered") { event ->
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val memberEvent = event as MemberRegisteredEvent
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memberProjectionService.handleMemberRegistered(memberEvent)
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}
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redisEventConsumer.registerEventHandler("MemberUpdated") { event ->
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val memberEvent = event as MemberUpdatedEvent
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memberProjectionService.handleMemberUpdated(memberEvent)
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}
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// Register handler for all events (useful for auditing)
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redisEventConsumer.registerAllEventsHandler { event ->
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auditService.recordEvent(event)
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}
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}
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@PreDestroy
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fun cleanup() {
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// Consumers are automatically cleaned up, but manual cleanup is possible
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redisEventConsumer.unregisterEventHandler("MemberRegistered", memberHandler)
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}
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}
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```
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### Consumer Configuration
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```yaml
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redis:
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event-store:
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# Consumer-specific settings
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consumer-group: "member-projections"
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consumer-name: "${spring.application.name}-${random.uuid}"
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# Processing optimization
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claim-idle-timeout: PT30S # Claim messages idle for 30 seconds
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poll-timeout: PT1S # Poll every second
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max-batch-size: 25 # Process 25 events per batch
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```
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## Testing-Strategie
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### 1. Integrationstests mit Testcontainers
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```kotlin
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@Testcontainers
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class RedisEventStoreIntegrationTest {
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companion object {
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@Container
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val redisContainer: GenericContainer<*> = GenericContainer(DockerImageName.parse("redis:7-alpine"))
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.withExposedPorts(6379)
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}
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@Test
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fun `should append and read events correctly`() {
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// Test implementation using a real Redis instance
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val events = listOf(testEvent1, testEvent2)
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val newVersion = eventStore.appendToStream(events, aggregateId, 0)
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val readEvents = eventStore.readFromStream(aggregateId)
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assertEquals(2, readEvents.size)
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assertEquals(2, newVersion)
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}
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}
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```
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### 2. Unit-Tests für Business Logic
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```kotlin
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@ExtendWith(MockKExtension::class)
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class MemberServiceTest {
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@MockK private lateinit var eventStore: EventStore
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@Test
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fun `should handle concurrency conflicts gracefully`() {
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// Given
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every { eventStore.appendToStream(any(), any(), any()) } throws ConcurrencyException("Version conflict")
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// When & Then
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assertThrows<MemberAlreadyExistsException> {
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memberService.registerMember(command)
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}
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}
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}
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```
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### 3. Consumer Tests
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```kotlin
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@Test
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fun `consumer should process events reliably`() {
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// Arrange
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val processedEvents = mutableListOf<DomainEvent>()
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redisEventConsumer.registerEventHandler("TestEvent") { event ->
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processedEvents.add(event)
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}
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// Act
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eventStore.appendToStream(testEvent, aggregateId, 0)
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redisEventConsumer.pollEvents() // Manually trigger polling for deterministic tests
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// Assert
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assertEquals(1, processedEvents.size)
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assertEquals(testEvent.eventId, processedEvents[0].eventId)
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}
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```
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### Test-Features
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- **Testcontainers Integration**: Echte Redis-Instanz für Integrationstests
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- **Deterministische Tests**: Manueller Polling-Trigger statt Thread.sleep
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- **Saubere Test-Daten**: @Transient-Annotation für Event-Klassen
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- **Umfassende Szenarien**: Configuration, Error Handling, Stream, Resilience Tests
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## Performance & Monitoring
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||
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### Performance-Charakteristiken
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- **Durchsatz**: >10 000 Events/Sekunde bei optimaler Konfiguration
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- **Latenz**: <10ms für Event-Appending, <50ms für Event-Reading
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- **Skalierung**: Horizontal skalierbar durch Consumer Groups
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- **Speicher**: Effiziente Stream-basierte Speicherung
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### Monitoring-Metriken
|
||
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```yaml
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# Micrometer/Prometheus Metriken (automatisch aktiviert)
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management:
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endpoints:
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web:
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exposure:
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include: metrics,health
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metrics:
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export:
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prometheus:
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enabled: true
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# Custom Metriken
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redis:
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event-store:
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metrics:
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events-appended: counter
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events-read: counter
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consumer-lag: gauge
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stream-length: gauge
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```
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### Health Checks
|
||
|
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```kotlin
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@Component
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class EventStoreHealthIndicator(
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private val redisTemplate: StringRedisTemplate
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) : HealthIndicator {
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override fun health(): Health {
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return try {
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redisTemplate.opsForValue().get("health-check")
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Health.up()
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.withDetail("redis", "connected")
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.build()
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} catch (ex: Exception) {
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Health.down(ex)
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.withDetail("redis", "disconnected")
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.build()
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}
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}
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}
|
||
```
|
||
|
||
## Troubleshooting
|
||
|
||
### Häufige Probleme
|
||
|
||
#### 1. ConcurrencyException
|
||
```kotlin
|
||
// Problem: Race Condition bei parallel Schreibvorgängen
|
||
// Lösung: Retry-Logic mit exponential backoff
|
||
@Retryable(value = [ConcurrencyException::class], maxAttempts = 3)
|
||
fun appendWithRetry(event: DomainEvent, streamId: UUID, expectedVersion: Long) {
|
||
eventStore.appendToStream(event, streamId, expectedVersion)
|
||
}
|
||
```
|
||
|
||
#### 2. Consumer Lag
|
||
```bash
|
||
# Redis CLI - Check consumer group info
|
||
XINFO GROUPS event-stream:aggregate-id
|
||
|
||
# Check pending messages
|
||
XPENDING event-stream:aggregate-id event-processors
|
||
|
||
# Claim stuck messages manually if needed
|
||
XCLAIM event-stream:aggregate-id event-processors consumer-name 60000 message-id
|
||
```
|
||
|
||
#### 3. Speicher-Issues
|
||
```yaml
|
||
# Redis Memory Optimization
|
||
redis:
|
||
event-store:
|
||
# Reduce batch size if memory constrained
|
||
max-batch-size: 25
|
||
|
||
# Shorter claim timeout to free memory faster
|
||
claim-idle-timeout: PT30S
|
||
```
|
||
|
||
#### 4. Verbindungsprobleme
|
||
```yaml
|
||
# Connection troubleshooting
|
||
redis:
|
||
event-store:
|
||
connection-timeout: 10000 # Increase for slow networks
|
||
read-timeout: 10000
|
||
max-pool-size: 5 # Reduce if connection limits hit
|
||
```
|
||
|
||
### Debugging
|
||
|
||
```yaml
|
||
# Enable debug logging
|
||
logging:
|
||
level:
|
||
at.mocode.infrastructure.eventstore.redis: DEBUG
|
||
org.springframework.data.redis: DEBUG
|
||
```
|
||
|
||
### Monitoring Commands
|
||
|
||
```bash
|
||
# Check Redis Stream info
|
||
redis-cli XINFO STREAM event-stream:aggregate-id
|
||
|
||
# Monitor real-time commands
|
||
redis-cli MONITOR
|
||
|
||
# Check memory usage
|
||
redis-cli INFO memory
|
||
```
|
||
|
||
## Migration & Deployment
|
||
|
||
### Deployment Checklist
|
||
|
||
- [ ] Redis Cluster verfügbar und erreichbar
|
||
- [ ] Konfiguration für Umgebung angepasst
|
||
- [ ] Consumer Groups erstellt (automatisch oder manuell)
|
||
- [ ] Monitoring und Alerting konfiguriert
|
||
- [ ] Health Checks implementiert
|
||
- [ ] Backup-Strategie definiert
|
||
|
||
### Migration zwischen Versionen
|
||
|
||
```kotlin
|
||
// Event Schema Evolution
|
||
@Serializable
|
||
data class MemberRegisteredEventV2(
|
||
// Neue Felder optional machen für Backward Compatibility
|
||
val additionalInfo: String? = null
|
||
) : BaseDomainEvent
|
||
```
|
||
|
||
### Backup & Recovery
|
||
|
||
```bash
|
||
# Redis Stream Backup (RDB)
|
||
redis-cli BGSAVE
|
||
|
||
# Stream-specific backup
|
||
redis-cli --rdb /backup/events.rdb
|
||
|
||
# Recovery
|
||
redis-server --dbfilename events.rdb --dir /backup/
|
||
```
|
||
|
||
---
|
||
|
||
**Letzte Aktualisierung**: 14. August 2025
|