public static void GetSchemaById(string server)
{
var topicName = Guid.NewGuid().ToString();
var testSchema1 =
"{\"type\":\"record\",\"name\":\"User\",\"namespace\":\"Confluent.Kafka.Examples.AvroSpecific" +
"\",\"fields\":[{\"name\":\"name\",\"type\":\"string\"},{\"name\":\"favorite_number\",\"type\":[\"i" +
"nt\",\"null\"]},{\"name\":\"favorite_color\",\"type\":[\"string\",\"null\"]}]}";
var sr = new CachedSchemaRegistryClient(new Dictionary <string, object> {
{ "schema.registry.url", server }
});
var subject = sr.ConstructValueSubjectName(topicName);
var id = sr.RegisterSchemaAsync(subject, testSchema1).Result;
var schema = sr.GetSchemaAsync(id).Result;
Assert.Equal(schema, testSchema1);
}
public static void GetSchemaBySubjectAndVersion(Config config)
{
var topicName = Guid.NewGuid().ToString();
var testSchema1 =
"{\"type\":\"record\",\"name\":\"User\",\"namespace\":\"Confluent.Kafka.Examples.AvroSpecific" +
"\",\"fields\":[{\"name\":\"name\",\"type\":\"string\"},{\"name\":\"favorite_number\",\"type\":[\"i" +
"nt\",\"null\"]},{\"name\":\"favorite_color\",\"type\":[\"string\",\"null\"]}]}";
var sr = new CachedSchemaRegistryClient(new SchemaRegistryConfig {
Url = config.Server
});
var subject = sr.ConstructValueSubjectName(topicName);
var id = sr.RegisterSchemaAsync(subject, testSchema1).Result;
var schema = sr.GetLatestSchemaAsync(subject).Result;
var schemaString = sr.GetSchemaAsync(subject, schema.Version).Result;
Assert.Equal(schemaString, testSchema1);
}
/// <summary>
/// Creates a deserializer.
/// </summary>
/// <param name="registryConfiguration">
/// Schema Registry configuration. Using the <see cref="SchemaRegistryConfig" /> class is
/// highly recommended.
/// </param>
/// <param name="deserializerBuilder">
/// A deserializer builder (used to build deserialization functions for C# types). If none
/// is provided, the default deserializer builder will be used.
/// </param>
/// <param name="schemaReader">
/// A JSON schema reader (used to convert schemas received from the registry into abstract
/// representations). If none is provided, the default schema reader will be used.
/// </param>
/// <exception cref="ArgumentNullException">
/// Thrown when the registry configuration is null.
/// </exception>
public AsyncSchemaRegistryDeserializer(
IEnumerable <KeyValuePair <string, string> > registryConfiguration,
IBinaryDeserializerBuilder deserializerBuilder = null,
IJsonSchemaReader schemaReader = null
) : this(
deserializerBuilder,
schemaReader
)
{
if (registryConfiguration == null)
{
throw new ArgumentNullException(nameof(registryConfiguration));
}
_resolve = async id =>
{
using (var registry = new CachedSchemaRegistryClient(registryConfiguration))
{
return(await registry.GetSchemaAsync(id).ConfigureAwait(false));
}
};
}
public static void GetSchemaById(Config config)
{
var topicName = Guid.NewGuid().ToString();
var testSchema1 =
"{\"type\":\"record\",\"name\":\"User\",\"namespace\":\"Confluent.Kafka.Examples.AvroSpecific" +
"\",\"fields\":[{\"name\":\"name\",\"type\":\"string\"},{\"name\":\"favorite_number\",\"type\":[\"i" +
"nt\",\"null\"]},{\"name\":\"favorite_color\",\"type\":[\"string\",\"null\"]}]}";
var sr = new CachedSchemaRegistryClient(new SchemaRegistryConfig {
Url = config.Server
});
var subject = SubjectNameStrategy.Topic.ConstructKeySubjectName(topicName, null);
var id = sr.RegisterSchemaAsync(subject, testSchema1).Result;
var schema = sr.GetSchemaAsync(id).Result;
Assert.Equal(schema.SchemaString, testSchema1);
Assert.Empty(schema.References);
Assert.Equal(schema.SchemaType, SchemaType.Avro);
}
public static void Protobuf(Config config)
{
var srInitial = new CachedSchemaRegistryClient(new SchemaRegistryConfig {
Url = config.Server
});
var sr = new CachedSchemaRegistryClient(new SchemaRegistryConfig {
Url = config.Server
});
var testSchemaBase64 = Confluent.Kafka.Examples.Protobuf.User.Descriptor.File.SerializedData.ToBase64();
var topicName = Guid.NewGuid().ToString();
var subjectInitial = SubjectNameStrategy.Topic.ConstructValueSubjectName(topicName, null);
var subject = SubjectNameStrategy.Topic.ConstructValueSubjectName(topicName + "2", null);
// check that registering a base64 protobuf schema works.
var id1 = srInitial.RegisterSchemaAsync(subjectInitial, new Schema(testSchemaBase64, SchemaType.Protobuf)).Result;
var schema1 = sr.GetSchemaAsync(id1, "serialized").Result; // use a different sr instance to ensure a cached value is not read.
Assert.Equal(SchemaType.Protobuf, schema1.SchemaType);
Assert.NotNull(schema1.SchemaString); // SR slightly munges the schema as a result of moving to a text representation and back so can't check for equality.
// check that the id of the schema just registered can be retrieved.
var id = sr.GetSchemaIdAsync(subjectInitial, new Schema(schema1.SchemaString, SchemaType.Protobuf)).Result;
Assert.Equal(id1, id);
// re-register the munged schema (to a different subject) and check that it is not re-munged.
var id2 = sr.RegisterSchemaAsync(subject, schema1).Result;
var schema2 = sr.GetSchemaAsync(id2, "serialized").Result;
Assert.Equal(schema1.SchemaString, schema2.SchemaString);
Assert.Equal(schema1.SchemaType, schema2.SchemaType);
// This sequence of operations is designed to test caching behavior (and two alternat schema getting methods).
var schemaAsText = sr.GetSchemaAsync(id2).Result;
var schemaAsSerialized = sr.GetSchemaAsync(id2, "serialized").Result;
var schemaAsText2 = sr.GetSchemaAsync(id2).Result;
var schemaAsSerialized2 = sr.GetSchemaAsync(id2, "serialized").Result;
var latestSchema = sr.GetLatestSchemaAsync(subject).Result; // should come back as text.
var schemaAsSerialized3 = sr.GetSchemaAsync(id2, "serialized").Result;
var latestSchema2 = sr.GetRegisteredSchemaAsync(subject, latestSchema.Version).Result; // should come back as text.
Assert.Equal(schema1.SchemaString, schemaAsSerialized.SchemaString);
Assert.Equal(SchemaType.Protobuf, schemaAsSerialized.SchemaType);
Assert.Empty(schemaAsSerialized.References);
Assert.Equal(schema1.SchemaString, schemaAsSerialized2.SchemaString);
Assert.Equal(schema1.SchemaString, schemaAsSerialized3.SchemaString);
Assert.NotEqual(schema1.SchemaString, schemaAsText.SchemaString);
Assert.Equal(schemaAsText.SchemaString, schemaAsText2.SchemaString);
Assert.Equal(schemaAsText.SchemaString, latestSchema.SchemaString);
Assert.Equal(schemaAsText.SchemaString, latestSchema2.SchemaString);
Assert.Equal(SchemaType.Protobuf, schemaAsText.SchemaType);
Assert.Empty(schemaAsText2.References);
// compatibility
var compat = sr.IsCompatibleAsync(subject, schema2).Result;
Assert.True(compat);
var avroSchema =
"{\"type\":\"record\",\"name\":\"User\",\"namespace\":\"Confluent.Kafka.Examples.AvroSpecific" +
"\",\"fields\":[{\"name\":\"name\",\"type\":\"string\"},{\"name\":\"favorite_number\",\"type\":[\"i" +
"nt\",\"null\"]},{\"name\":\"favorite_color\",\"type\":[\"string\",\"null\"]}]}";
var compat2 = sr.IsCompatibleAsync(subject, avroSchema).Result;
Assert.False(compat2);
var compat3 = sr.IsCompatibleAsync(subject, new Schema(avroSchema, SchemaType.Avro)).Result;
Assert.False(compat3);
// invalid type
Assert.ThrowsAny <Exception>(() => {
sr.RegisterSchemaAsync(SubjectNameStrategy.Topic.ConstructKeySubjectName(topicName + "3", null), new Schema(avroSchema, SchemaType.Protobuf)).Wait();
});
}
