org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase Java Examples

The following examples show how to use org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase. 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: Kafka010DynamicSink.java    From flink with Apache License 2.0 5 votes vote down vote up
@Override
protected FlinkKafkaProducerBase<RowData> createKafkaProducer(
		String topic,
		Properties properties,
		SerializationSchema<RowData> serializationSchema,
		Optional<FlinkKafkaPartitioner<RowData>> partitioner) {
	return new FlinkKafkaProducer010<>(
		topic,
		serializationSchema,
		properties,
		partitioner.orElse(null));
}
 
Example #2
Source File: Kafka09AvroTableSink.java    From df_data_service with Apache License 2.0 4 votes vote down vote up
@Override
protected FlinkKafkaProducerBase<Tuple2<Boolean, Row>> createKafkaProducer(String topic, Properties properties, SerializationSchema<Tuple2<Boolean, Row>> serializationSchema, FlinkKafkaPartitioner<Tuple2<Boolean, Row>> partitioner) {
	return new FlinkKafkaProducer09<>(topic, serializationSchema, properties, partitioner);
}
 
Example #3
Source File: KafkaTableSink.java    From df_data_service with Apache License 2.0 2 votes vote down vote up
/**
 * Returns the version-specifid Kafka producer.
 *
 * @param topic               Kafka topic to produce to.
 * @param properties          Properties for the Kafka producer.
 * @param serializationSchema Serialization schema to use to create Kafka records.
 * @param partitioner         Partitioner to select Kafka partition.
 * @return The version-specific Kafka producer
 */
protected abstract FlinkKafkaProducerBase<Tuple2<Boolean, Row>> createKafkaProducer(
	String topic, Properties properties,
	SerializationSchema<Tuple2<Boolean, Row>> serializationSchema,
	FlinkKafkaPartitioner<Tuple2<Boolean, Row>> partitioner);