Request-Response Pattern
Synchronous communication where a client makes a request and waits for a response
The request-response pattern is one of the most fundamental integration approaches, where a client sends a request to a server and waits for the server to respond.
Request-Response Overview
The request-response pattern has several key characteristics:
- Synchronous: The client typically waits for a response before proceeding
- Direct communication: Clear sender and receiver relationship
- Immediate feedback: Client receives immediate confirmation of success or failure
- Simple mental model: Follows natural question-answer paradigm
- Stateless: Each request-response pair is typically self-contained
When to Use Request-Response
Request-response is ideal for scenarios where:
- Immediate answers are required
- Operations must complete before proceeding
- Simple, direct interactions are needed
- Low latency is expected
- The client needs confirmation of success/failure
- Data lookups or validations are performed
Request-Response Variations
Synchronous Request-Response
The client waits (blocks) until the server responds:
- Direct coupling: Client operation pauses until response arrives
- Simple implementation: Straightforward to code and understand
- Immediate results: No additional mechanisms needed to retrieve response
- Timeout handling: May require timeout management for slow responses
Asynchronous Request-Response
The client doesn't block, but checks for the response later:
- Non-blocking: Client continues processing while waiting
- Callback mechanism: Client is notified when response arrives
- Correlation ID: Used to match responses to requests
- Greater complexity: Requires additional mechanisms to handle responses
Fire and Forget
A request with no expected response:
- Simplest form: Client sends request and continues
- No confirmation: Client doesn't know if request succeeded
- Lowest overhead: Minimal resource usage
- Use case: Non-critical notifications or logging
FileMaker as Request Sender
FileMaker offers several ways to implement request-response:
Insert From URL
The primary script step for making HTTP requests:
cURL Options
Configure detailed request parameters:
Handling Responses
Processing different response types:
FileMaker as Response Provider
FileMaker can also serve as the responder in request-response patterns:
Data API
FileMaker Server's REST API for external systems:
- REST interface: Standard HTTP methods for CRUD operations
- JSON format: Structured data exchange
- Authentication: OAuth or basic authentication
- Versioned API: Consistent interface across versions
Custom Web Publishing
Create custom endpoints for specialized needs:
- PHP API: Traditional web publishing option
- XML response: Structure data for clients
- Custom business logic: Implement specific rules
- Direct database access: Full control over data operations
Claris Connect Implementation
Claris Connect supports request-response patterns through:
- HTTP actions: Make requests to external services
- Response parsing: Extract data from responses
- Conditional logic: React differently based on response content
- Error handling: Manage failed requests
- Transformation: Convert between different data formats
Example approach:
- Create a flow triggered by a schedule or event
- Add an HTTP action to make the request
- Parse the response using transformation steps
- Implement conditional logic based on the response
- Configure error handling for request failures
Common Request-Response Scenarios
Data Lookups
- Customer information: Retrieve customer details by ID
- Product data: Get current pricing and availability
- Validation: Verify addresses, tax IDs, or other information
Transaction Processing
- Payment processing: Submit payment info, get authorization
- Order submission: Send order details, receive confirmation
- Reservation systems: Check availability, make bookings
Authentication
- Login flows: Submit credentials, receive tokens
- Token validation: Verify authentication status
- Permission checks: Determine if actions are allowed
Advantages and Challenges
Advantages
- Simple to understand and implement
- Immediate confirmation of success/failure
- Clear communication path
- Predictable behavior
- Works well for simple integrations
Challenges
- Blocking operations can cause performance issues
- Timeout handling can be complex
- Network reliability impacts effectiveness
- Limited scalability with many concurrent requests
- Not suitable for long-running operations
Best Practices
- Implement timeouts: Don't wait indefinitely for responses
- Handle all response codes: Plan for success, failure, and edge cases
- Consider retries: Implement backoff algorithms for transient failures
- Keep requests idempotent: Enable safe retry operations
- Validate responses: Don't assume response data is always valid
- Log transactions: Maintain an audit trail of requests and responses
- Use correlation IDs: Include unique identifiers to track requests
- Implement response caching: Cache responses for frequently used data