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concurrent_use_cases.md

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Concurrent Access Use Cases

Real-World Scenarios

1. Event Processing System

  • Scenario: Multiple services processing events from different sources
  • Example: A system receiving events from:
    • User actions (web interface)
    • IoT devices
    • External API integrations
    • Background jobs
  • Concurrency Needs:
    • Multiple writers adding events simultaneously
    • Readers querying events while new ones arrive
    • No data loss or corruption

2. Time Series Database

  • Scenario: High-frequency data collection and analysis
  • Example: Monitoring system collecting:
    • Server metrics
    • Application performance data
    • User activity logs
  • Concurrency Needs:
    • Multiple collectors writing data
    • Analytics jobs reading historical data
    • Real-time dashboards querying recent data

3. Event Scheduler

  • Scenario: Distributed task scheduling system
  • Example: System managing:
    • Background jobs
    • Scheduled reports
    • Periodic maintenance tasks
  • Concurrency Needs:
    • Multiple workers scheduling tasks
    • Task executors checking for due tasks
    • Admin interface viewing/managing schedules

4. Log Aggregation System

  • Scenario: Centralized log collection and analysis
  • Example: System collecting logs from:
    • Multiple applications
    • Different environments
    • Various services
  • Concurrency Needs:
    • Multiple log sources writing simultaneously
    • Log analysis tools reading data
    • Real-time monitoring systems

Technical Requirements

1. Thread Safety

  • Safe concurrent access from multiple threads
  • No race conditions during:
    • Event insertion
    • Event deletion
    • Range queries
    • Duration queries

2. Performance Considerations

  • Minimize lock contention
  • Allow concurrent reads when possible
  • Efficient write operations
  • Scalable under high concurrency

3. Consistency Levels

  • Strong consistency for critical operations
  • Eventual consistency where acceptable
  • Clear consistency guarantees

4. Error Handling

  • Graceful handling of concurrent modifications
  • Clear error messages for conflicts
  • Recovery mechanisms for failed operations

Implementation Approaches

1. Lock-Based Synchronization

  • Read-write locks for different operations
  • Fine-grained locking for better concurrency
  • Deadlock prevention strategies
  • Currently implemented in ThreadSafeTimeBasedStorage, ThreadSafeTimeBasedStorageHeap, and ThreadSafeTimeBasedStorageRBTree

2. Lock-Free Data Structures

  • Atomic operations where possible
  • CAS (Compare-And-Swap) operations
  • Memory ordering considerations

3. Transaction Support

  • Atomic operations
  • Isolation levels
  • Rollback capabilities

4. Version Control

  • Optimistic locking
  • Conflict resolution strategies
  • Version tracking for modifications

Testing Requirements

1. Concurrency Tests

  • Multiple threads performing operations
  • Stress testing under load
  • Race condition detection

2. Performance Tests

  • Throughput under concurrent access
  • Latency measurements
  • Resource usage monitoring

3. Consistency Tests

  • Data integrity verification
  • Consistency level validation
  • Recovery testing

4. Edge Cases

  • Deadlock scenarios
  • Resource exhaustion
  • Error conditions