Advanced Schema Registry Topics
Dive deeper into the capabilities and best practices of using the Azure Event Hubs Schema Registry to manage your event schemas effectively.
Understanding Schema Evolution
Managing schema evolution is crucial for maintaining backward and forward compatibility in your event streams. Learn how the Schema Registry facilitates this through versioning and compatibility checks.
- Defining compatibility rules (Backward, Forward, Full, None).
- Strategies for updating schemas without breaking consumers.
- Handling schema deletion and deprecation.
Integrating with Different Serialization Formats
While Avro is the primary supported format, the Schema Registry can be adapted for other serialization formats like JSON Schema or Protobuf. Understand the patterns and considerations for these integrations.
- Custom serializer/deserializer implementations.
- Using the registry as a central source of truth for schema definitions across technologies.
- Example integration with Protobuf.
Advanced Use Cases
Schema Validation at Runtime
Implement robust data validation by integrating schema checks directly into your producer or consumer applications, leveraging the Schema Registry's validation APIs.
Learn MoreDynamic Schema Discovery
Explore patterns for consumers to dynamically discover and load the correct schema version based on metadata within the event payload or topic configuration.
Learn MoreMulti-Tenant Schema Management
Architect solutions for managing schemas across multiple tenants or applications, ensuring isolation and preventing conflicts using groups and custom configurations.
Learn MorePerformance Optimizations
Understand how to optimize the performance of schema registration and retrieval, especially in high-throughput scenarios, by caching schemas and optimizing network calls.
Learn MoreCode Examples & Scenarios
Here are some practical examples demonstrating advanced Schema Registry features:
Schema Versioning Example (C#)
This example shows how to register a new version of a schema and retrieve an existing one using the Azure SDK.
using Azure.Data.SchemaRegistry;
using System;
using System.Text.Json;
using System.Threading.Tasks;
// ... connection string and group name setup ...
var client = new SchemaRegistryClient(schemaRegistryConnectionString, new SchemaRegistryClientOptions());
var schemaGroupName = "my-event-group";
var schemaId = Guid.NewGuid(); // Example schema ID
// Registering a new schema version
var schemaContent = JsonSerializer.Serialize(new { Message = "Initial schema", Version = 1 });
var registrationResponse = await client.RegisterSchemaAsync(schemaGroupName, "my-schema", SchemaFormat.Avro, schemaContent);
Console.WriteLine($"Registered schema with ID: {registrationResponse.Value.SchemaId}");
// Retrieving a schema by ID
var getSchemaResponse = await client.GetSchemaAsync(registrationResponse.Value.SchemaId);
Console.WriteLine($"Retrieved schema content: {getSchemaResponse.Value.Content}");
Schema Compatibility Check
Illustrates checking if a new schema is compatible with existing registered schemas.
// Assuming 'client' and 'schemaGroupName' are initialized
var existingSchemaContent = /* content of an existing schema */ ;
var newSchemaContent = JsonSerializer.Serialize(new { Message = "Updated message", Version = 2, Timestamp = DateTime.UtcNow });
// Check compatibility (e.g., backward compatibility)
var compatibilityResponse = await client.GetCompatibilityAsync(
schemaGroupName,
"my-schema",
SchemaFormat.Avro,
newSchemaContent,
SchemaRegistryCompatibility.Backward);
if (compatibilityResponse.Value.IsCompatible)
{
Console.WriteLine("New schema is compatible with existing ones.");
}
else
{
Console.WriteLine("WARNING: New schema is NOT compatible. Review compatibility rules.");
}