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SpecificAvroIntegrationTest.java
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SpecificAvroIntegrationTest.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.examples.streams.avro.WikiFeed;
import io.confluent.examples.streams.kafka.EmbeddedSingleNodeKafkaCluster;
import io.confluent.kafka.serializers.AbstractKafkaSchemaSerDeConfig;
import io.confluent.kafka.serializers.KafkaAvroDeserializer;
import io.confluent.kafka.serializers.KafkaAvroDeserializerConfig;
import io.confluent.kafka.serializers.KafkaAvroSerializer;
import io.confluent.kafka.streams.serdes.avro.SpecificAvroSerde;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.ByteArrayDeserializer;
import org.apache.kafka.common.serialization.ByteArraySerializer;
import org.apache.kafka.common.serialization.Serde;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.kstream.KStream;
import org.apache.kafka.streams.kstream.Produced;
import org.junit.BeforeClass;
import org.junit.ClassRule;
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 Specific Avro data.
*
* See {@link GenericAvroIntegrationTest} for the equivalent Generic Avro integration test.
*/
public class SpecificAvroIntegrationTest {
@ClassRule
public static final EmbeddedSingleNodeKafkaCluster CLUSTER = new EmbeddedSingleNodeKafkaCluster();
private static final String inputTopic = "inputTopic";
private static final String outputTopic = "outputTopic";
@BeforeClass
public static void startKafkaCluster() throws InterruptedException {
CLUSTER.createTopic(inputTopic);
CLUSTER.createTopic(outputTopic);
}
@Test
public void shouldRoundTripSpecificAvroDataThroughKafka() throws Exception {
final List<WikiFeed> inputValues = Collections.singletonList(
WikiFeed.newBuilder().setUser("alice").setIsNew(true).setContent("lorem ipsum").build()
);
//
// Step 1: Configure and start the processor topology.
//
final StreamsBuilder builder = new StreamsBuilder();
final Properties streamsConfiguration = new Properties();
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "specific-avro-integration-test");
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.ByteArray().getClass().getName());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, SpecificAvroSerde.class);
streamsConfiguration.put(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, CLUSTER.schemaRegistryUrl());
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
// 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 specific Avro serde manually.
final Serde<String> stringSerde = Serdes.String();
final Serde<WikiFeed> specificAvroSerde = new SpecificAvroSerde<>();
// Note how we must manually call `configure()` on this serde to configure the schema registry
// url. This is different from the case of setting default serdes (see `streamsConfiguration`
// above), which will be auto-configured based on the `StreamsConfiguration` instance.
final boolean isKeySerde = false;
specificAvroSerde.configure(
Collections.singletonMap(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, CLUSTER.schemaRegistryUrl()),
isKeySerde);
final KStream<String, WikiFeed> stream = builder.stream(inputTopic);
stream.to(outputTopic, Produced.with(stringSerde, specificAvroSerde));
final KafkaStreams streams = new KafkaStreams(builder.build(), streamsConfiguration);
streams.start();
//
// Step 2: Produce some input data to the input topic.
//
final Properties producerConfig = new Properties();
producerConfig.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
producerConfig.put(ProducerConfig.ACKS_CONFIG, "all");
producerConfig.put(ProducerConfig.RETRIES_CONFIG, 1);
producerConfig.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, ByteArraySerializer.class);
producerConfig.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, KafkaAvroSerializer.class);
producerConfig.put(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, CLUSTER.schemaRegistryUrl());
IntegrationTestUtils.produceValuesSynchronously(inputTopic, inputValues, producerConfig);
//
// Step 3: Verify the application's output data.
//
final Properties consumerConfig = new Properties();
consumerConfig.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
consumerConfig.put(ConsumerConfig.GROUP_ID_CONFIG, "specific-avro-integration-test-standard-consumer");
consumerConfig.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
consumerConfig.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, ByteArrayDeserializer.class);
consumerConfig.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, KafkaAvroDeserializer.class);
consumerConfig.put(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, CLUSTER.schemaRegistryUrl());
consumerConfig.put(KafkaAvroDeserializerConfig.SPECIFIC_AVRO_READER_CONFIG, true);
final List<WikiFeed> actualValues = IntegrationTestUtils.waitUntilMinValuesRecordsReceived(
consumerConfig,
outputTopic,
inputValues.size()
);
streams.close();
assertThat(actualValues, equalTo(inputValues));
}
}