Sorting allows you to control the order of search results based on specific fields or relevance scores.

Understanding Sorting

Key Concepts

  1. Sort Fields

    • Relevance score (default)
    • Metadata fields
    • Feature properties
    • Custom fields
  2. Sort Direction

    • Ascending order
    • Descending order
    • Multiple fields
    • Default ordering

Sort Configuration

Basic Structure

{
  "sort": {
    "direction": "desc",
    "field": "relevance"
  }
}

Configuration Options

  1. Field Selection

    • Must be indexed fields
    • Supports dot notation
    • Multiple field types
    • Special fields (e.g., relevance)
  2. Direction Control

    • ”asc” for ascending
    • ”desc” for descending
    • Default: descending
    • Per-field control

Common Use Cases

Result Ordering

  1. Relevance-Based

    • Search result ranking
    • Similarity ordering
    • Quality-based sorting
    • Confidence scores
  2. Temporal Ordering

    • Date created
    • Last modified
    • Sequence order
    • Time-based relevance
  3. Metadata Sorting

    • Alphabetical order
    • Numerical values
    • Custom rankings
    • Category order

Limitations

Technical Constraints

  1. Field Restrictions

    • Only indexed fields
    • Type limitations
    • No computed fields
    • No dynamic sorting
  2. Performance Impact

    • Sort field complexity
    • Result set size
    • Memory requirements
    • Query optimization
  3. Functionality Restrictions

    • Single sort direction
    • Limited field combinations
    • No custom sort functions
    • Type compatibility

Performance Considerations

  1. Resource Usage

    • Index utilization
    • Memory consumption
    • CPU utilization
    • I/O impact
  2. Scaling Factors

    • Dataset size
    • Field cardinality
    • Sort complexity
    • Result volume

Best Practices

Optimization Tips

  1. Field Selection

    • Use indexed fields
    • Consider cardinality
    • Monitor performance
    • Test combinations
  2. Implementation

    • Cache sorted results
    • Use appropriate indexes
    • Handle missing values
    • Consider defaults

Common Patterns

  1. Mixed Sorting

    • Combine with filters
    • Use with pagination
    • Apply to groups
    • Preserve relevance
  2. Dynamic Ordering

    • User preferences
    • Context-aware
    • Adaptive sorting
    • Business rules

Error Handling

Common Issues

  1. Invalid Configuration

    • Unknown fields
    • Type mismatches
    • Missing indexes
    • Direction errors
  2. Performance Problems

    • Slow sorts
    • Memory limits
    • Large datasets
    • Complex fields

Resolution Steps

  1. Configuration Validation

    • Verify fields
    • Check types
    • Validate direction
    • Test performance
  2. Performance Optimization

    • Use proper indexes
    • Limit result sets
    • Cache results
    • Monitor resources

For implementation details and examples, see the Search API Reference.