org.apache.flink.formats.avro.registry.confluent.ConfluentRegistryAvroDeserializationSchema Java Examples

The following examples show how to use org.apache.flink.formats.avro.registry.confluent.ConfluentRegistryAvroDeserializationSchema. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: TestAvroConsumerConfluent.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
public static void main(String[] args) throws Exception {
	// parse input arguments
	final ParameterTool parameterTool = ParameterTool.fromArgs(args);

	if (parameterTool.getNumberOfParameters() < 6) {
		System.out.println("Missing parameters!\n" +
			"Usage: Kafka --input-topic <topic> --output-topic <topic> " +
			"--bootstrap.servers <kafka brokers> " +
			"--zookeeper.connect <zk quorum> " +
			"--schema-registry-url <confluent schema registry> --group.id <some id>");
		return;
	}
	Properties config = new Properties();
	config.setProperty("bootstrap.servers", parameterTool.getRequired("bootstrap.servers"));
	config.setProperty("group.id", parameterTool.getRequired("group.id"));
	config.setProperty("zookeeper.connect", parameterTool.getRequired("zookeeper.connect"));
	String schemaRegistryUrl = parameterTool.getRequired("schema-registry-url");

	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.getConfig().disableSysoutLogging();

	DataStreamSource<User> input = env
		.addSource(
			new FlinkKafkaConsumer010<>(
				parameterTool.getRequired("input-topic"),
				ConfluentRegistryAvroDeserializationSchema.forSpecific(User.class, schemaRegistryUrl),
				config).setStartFromEarliest());

	SingleOutputStreamOperator<String> mapToString = input
		.map((MapFunction<User, String>) SpecificRecordBase::toString);

	FlinkKafkaProducer010<String> stringFlinkKafkaProducer010 = new FlinkKafkaProducer010<>(
		parameterTool.getRequired("output-topic"),
		new SimpleStringSchema(),
		config);

	mapToString.addSink(stringFlinkKafkaProducer010);
	env.execute("Kafka 0.10 Confluent Schema Registry AVRO Example");
}
Example #2
Source File: TestAvroConsumerConfluent.java    From flink with Apache License 2.0 4 votes vote down vote up 
public static void main(String[] args) throws Exception {
	// parse input arguments
	final ParameterTool parameterTool = ParameterTool.fromArgs(args);

	if (parameterTool.getNumberOfParameters() < 6) {
		System.out.println("Missing parameters!\n" +
			"Usage: Kafka --input-topic <topic> --output-topic <topic> " +
			"--bootstrap.servers <kafka brokers> " +
			"--zookeeper.connect <zk quorum> " +
			"--schema-registry-url <confluent schema registry> --group.id <some id>");
		return;
	}
	Properties config = new Properties();
	config.setProperty("bootstrap.servers", parameterTool.getRequired("bootstrap.servers"));
	config.setProperty("group.id", parameterTool.getRequired("group.id"));
	config.setProperty("zookeeper.connect", parameterTool.getRequired("zookeeper.connect"));
	String schemaRegistryUrl = parameterTool.getRequired("schema-registry-url");

	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.getConfig().disableSysoutLogging();

	DataStreamSource<User> input = env
		.addSource(
			new FlinkKafkaConsumer010<>(
				parameterTool.getRequired("input-topic"),
				ConfluentRegistryAvroDeserializationSchema.forSpecific(User.class, schemaRegistryUrl),
				config).setStartFromEarliest());

	SingleOutputStreamOperator<String> mapToString = input
		.map((MapFunction<User, String>) SpecificRecordBase::toString);

	FlinkKafkaProducer010<String> stringFlinkKafkaProducer010 = new FlinkKafkaProducer010<>(
		parameterTool.getRequired("output-topic"),
		new SimpleStringSchema(),
		config);

	mapToString.addSink(stringFlinkKafkaProducer010);
	env.execute("Kafka 0.10 Confluent Schema Registry AVRO Example");
}
Example #3
Source File: TestAvroConsumerConfluent.java    From flink with Apache License 2.0 3 votes vote down vote up 
public static void main(String[] args) throws Exception {
	// parse input arguments
	final ParameterTool parameterTool = ParameterTool.fromArgs(args);

	if (parameterTool.getNumberOfParameters() < 6) {
		System.out.println("Missing parameters!\n" +
			"Usage: Kafka --input-topic <topic> --output-string-topic <topic> --output-avro-topic <topic> " +
			"--bootstrap.servers <kafka brokers> " +
			"--schema-registry-url <confluent schema registry> --group.id <some id>");
		return;
	}
	Properties config = new Properties();
	config.setProperty("bootstrap.servers", parameterTool.getRequired("bootstrap.servers"));
	config.setProperty("group.id", parameterTool.getRequired("group.id"));
	String schemaRegistryUrl = parameterTool.getRequired("schema-registry-url");

	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

	DataStreamSource<User> input = env
		.addSource(
			new FlinkKafkaConsumer010<>(
				parameterTool.getRequired("input-topic"),
				ConfluentRegistryAvroDeserializationSchema.forSpecific(User.class, schemaRegistryUrl),
				config).setStartFromEarliest());

	SingleOutputStreamOperator<String> mapToString = input
		.map((MapFunction<User, String>) SpecificRecordBase::toString);

	FlinkKafkaProducer010<String> stringFlinkKafkaProducer010 = new FlinkKafkaProducer010<>(
		parameterTool.getRequired("output-string-topic"),
		new SimpleStringSchema(),
		config);
	mapToString.addSink(stringFlinkKafkaProducer010);

	FlinkKafkaProducer010<User> avroFlinkKafkaProducer010 = new FlinkKafkaProducer010<>(
			parameterTool.getRequired("output-avro-topic"),
			ConfluentRegistryAvroSerializationSchema.forSpecific(User.class, parameterTool.getRequired("output-subject"), schemaRegistryUrl),
			config);
	input.addSink(avroFlinkKafkaProducer010);

	env.execute("Kafka 0.10 Confluent Schema Registry AVRO Example");
}