Query Processing

Understanding how ageSchemaClient processes and optimizes queries.

Query Pipeline

Query Builder → Parameter Processing → Optimization → Execution → Result Processing

Query Construction

The QueryBuilder uses a fluent API to construct queries:

1. Method Chaining - Build queries step by step
2. Type Safety - TypeScript validation at compile time
3. Parameter Management - Safe parameter handling for AGE

Parameter Handling

Apache AGE has specific requirements for parameter handling:

// ageSchemaClient handles this automatically
query
  .match('(p:Person)')
  .where({ name: 'Alice' })  // Converted to AGE-compatible format
  .execute();

Query Optimization

Automatic optimizations include:

• Parameter caching
• Query plan analysis
• Batch query execution
• Index usage optimization

Execution Strategies

Different strategies for different query types:

• Simple queries - Direct execution
• Complex queries - Multi-step processing
• Batch operations - Parallel execution
• Transactions - ACID compliance

Result Processing

Results are processed and transformed:

1. Type conversion - AGE types to JavaScript types
2. Result mapping - Structure results appropriately
3. Error handling - Comprehensive error reporting

Performance Monitoring

Built-in performance monitoring:

• Query execution time
• Connection pool metrics
• Memory usage tracking
• Error rate monitoring