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Example 08: Data Context Management

Overview​

The data context pattern manages database connections and Entity Framework contexts efficiently while respecting SYSPRO's connection management and security requirements.

Implementation​

Context Lifecycle​

Proper context management:

  • Singleton pattern for long-lived contexts
  • Scoped contexts for transactions
  • Disposal patterns
  • Connection pooling

SYSPRO Integration​

Seamless SYSPRO integration:

  • Session-based connections
  • Security context
  • Transaction coordination
  • Audit integration

Performance Optimization​

Optimized for performance:

  • Query optimization
  • Lazy loading control
  • Change tracking
  • Batch operations

Connection Management​

Connection Pooling​

Efficient connection usage:

  • Pool configuration
  • Connection limits
  • Timeout handling
  • Recovery strategies

Transaction Patterns​

Robust transaction handling:

  • Distributed transactions
  • Rollback strategies
  • Compensation logic
  • Deadlock prevention

Entity Configuration​

Model Building​

Entity Framework configuration:

  • Fluent API usage
  • Convention configuration
  • Relationship mapping
  • Index optimization

Benefits​

The pattern provides:

  • Efficient resource usage
  • Transaction safety
  • Performance optimization
  • Clean abstraction

Summary​

The data context pattern provides efficient, safe database access while maintaining compatibility with SYSPRO's database infrastructure and security model.