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GenericAvroIntegrationTest.java
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GenericAvroIntegrationTest.java
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/*
* Copyright Confluent Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package io.confluent.examples.streams;
import io.confluent.kafka.schemaregistry.avro.AvroSchema;
import io.confluent.kafka.schemaregistry.client.SchemaRegistryClient;
import io.confluent.kafka.schemaregistry.testutil.MockSchemaRegistry;
import io.confluent.kafka.serializers.AbstractKafkaSchemaSerDeConfig;
import io.confluent.kafka.serializers.KafkaAvroDeserializer;
import io.confluent.kafka.serializers.KafkaAvroSerializer;
import io.confluent.kafka.streams.serdes.avro.GenericAvroSerde;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericRecord;
import org.apache.kafka.common.serialization.Serde;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.TestInputTopic;
import org.apache.kafka.streams.TestOutputTopic;
import org.apache.kafka.streams.TopologyTestDriver;
import org.apache.kafka.streams.kstream.KStream;
import org.apache.kafka.streams.kstream.Produced;
import org.junit.Test;
import java.util.Collections;
import java.util.List;
import java.util.Properties;
import static org.hamcrest.CoreMatchers.equalTo;
import static org.hamcrest.MatcherAssert.assertThat;
/**
* End-to-end integration test that demonstrates how to work on Generic Avro data.
* <p>
* See {@link SpecificAvroIntegrationTest} for the equivalent Specific Avro integration test.
*/
public class GenericAvroIntegrationTest {
// A mocked schema registry for our serdes to use
private static final String SCHEMA_REGISTRY_SCOPE = GenericAvroIntegrationTest.class.getName();
private static final String MOCK_SCHEMA_REGISTRY_URL = "mock://" + SCHEMA_REGISTRY_SCOPE;
private static final String inputTopic = "inputTopic";
private static final String outputTopic = "outputTopic";
@Test
public void shouldRoundTripGenericAvroDataThroughKafka() throws Exception {
final Schema schema = new Schema.Parser().parse(
getClass().getResourceAsStream("/avro/io/confluent/examples/streams/wikifeed.avsc")
);
final SchemaRegistryClient schemaRegistryClient = MockSchemaRegistry.getClientForScope(SCHEMA_REGISTRY_SCOPE);
schemaRegistryClient.register("inputTopic-value", new AvroSchema(schema));
final GenericRecord record = new GenericData.Record(schema);
record.put("user", "alice");
record.put("is_new", true);
record.put("content", "lorem ipsum");
final List<Object> inputValues = Collections.singletonList(record);
//
// Step 1: Configure and start the processor topology.
//
final StreamsBuilder builder = new StreamsBuilder();
final Properties streamsConfiguration = new Properties();
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "generic-avro-integration-test");
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "dummy config");
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.ByteArray().getClass().getName());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, GenericAvroSerde.class);
streamsConfiguration.put(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, MOCK_SCHEMA_REGISTRY_URL);
// Write the input data as-is to the output topic.
//
// Normally, because a) we have already configured the correct default serdes for keys and
// values and b) the types for keys and values are the same for both the input topic and the
// output topic, we would only need to define:
//
// builder.stream(inputTopic).to(outputTopic);
//
// However, in the code below we intentionally override the default serdes in `to()` to
// demonstrate how you can construct and configure a generic Avro serde manually.
final Serde<String> stringSerde = Serdes.String();
final Serde<GenericRecord> genericAvroSerde = new GenericAvroSerde();
// Note how we must manually call `configure()` on this serde to configure the schema registry.
// This is different from the case of setting default serdes (see `streamsConfiguration`
// above), which will be auto-configured based on the `StreamsConfiguration` instance.
genericAvroSerde.configure(
Collections.singletonMap(AbstractKafkaSchemaSerDeConfig .SCHEMA_REGISTRY_URL_CONFIG, MOCK_SCHEMA_REGISTRY_URL),
/*isKey*/ false);
final KStream<String, GenericRecord> stream = builder.stream(inputTopic);
stream.to(outputTopic, Produced.with(stringSerde, genericAvroSerde));
try (final TopologyTestDriver topologyTestDriver = new TopologyTestDriver(builder.build(), streamsConfiguration)){
//
// Step 2: Setup input and output topics.
//
final TestInputTopic<Void, Object> input = topologyTestDriver
.createInputTopic(inputTopic,
new IntegrationTestUtils.NothingSerde<>(),
new KafkaAvroSerializer(schemaRegistryClient));
final TestOutputTopic<Void, Object> output = topologyTestDriver
.createOutputTopic(outputTopic,
new IntegrationTestUtils.NothingSerde<>(),
new KafkaAvroDeserializer(schemaRegistryClient));
//
// Step 3: Produce some input data to the input topic.
//
input.pipeValueList(inputValues);
//
// Step 4: Verify the application's output data.
//
assertThat(output.readValuesToList(), equalTo(inputValues));
} finally {
MockSchemaRegistry.dropScope(SCHEMA_REGISTRY_SCOPE);
}
}
}