Amazon Managed Service for Apache Flink was previously known as Amazon Kinesis Data Analytics for Apache Flink.
Write data using sinks in Managed Service for Apache Flink
In your application code, you can use any Apache Flink sink
Apache Flink also provides sinks for files and sockets, and you can implement custom sinks. Among the several supported sinks, the following are frequently used:
Use Kinesis data streams
Apache Flink provides information about the Kinesis Data Streams Connector
For an example of an application that uses a Kinesis data stream for input and output, see Tutorial: Get started using the DataStream API in Managed Service for Apache Flink.
Use Apache Kafka and Amazon Managed Streaming for Apache Kafka (MSK)
The Apache Flink Kafka connector
Use Amazon S3
You can use the Apache Flink StreamingFileSink
to write objects to an Amazon S3 bucket.
For an example about how to write objects to S3, see Example: Writing to an Amazon S3 bucket.
Use Firehose
The FlinkKinesisFirehoseProducer
is a reliable, scalable Apache Flink
sink for storing application output using the Firehose service. This section describes how to set up a Maven project to
create and use a FlinkKinesisFirehoseProducer
.
Create a FlinkKinesisFirehoseProducer
The following code example demonstrates creating a FlinkKinesisFirehoseProducer
:
Properties outputProperties = new Properties(); outputProperties.setProperty(ConsumerConfigConstants.AWS_REGION, region); FlinkKinesisFirehoseProducer<String> sink = new FlinkKinesisFirehoseProducer<>(outputStreamName, new SimpleStringSchema(), outputProperties);
FlinkKinesisFirehoseProducer
Code Example
The following code example demonstrates how to create and configure a
FlinkKinesisFirehoseProducer
and send data from an Apache Flink
data stream to the Firehose service.
package com.amazonaws.services.kinesisanalytics; import com.amazonaws.services.kinesisanalytics.flink.connectors.config.ProducerConfigConstants; import com.amazonaws.services.kinesisanalytics.flink.connectors.producer.FlinkKinesisFirehoseProducer; import com.amazonaws.services.kinesisanalytics.runtime.KinesisAnalyticsRuntime; import org.apache.flink.api.common.serialization.SimpleStringSchema; import org.apache.flink.streaming.api.datastream.DataStream; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.connectors.kinesis.FlinkKinesisConsumer; import org.apache.flink.streaming.connectors.kinesis.FlinkKinesisProducer; import org.apache.flink.streaming.connectors.kinesis.config.ConsumerConfigConstants; import java.io.IOException; import java.util.Map; import java.util.Properties; public class StreamingJob { private static final String region = "us-east-1"; private static final String inputStreamName = "ExampleInputStream"; private static final String outputStreamName = "ExampleOutputStream"; private static DataStream<String> createSourceFromStaticConfig(StreamExecutionEnvironment env) { Properties inputProperties = new Properties(); inputProperties.setProperty(ConsumerConfigConstants.AWS_REGION, region); inputProperties.setProperty(ConsumerConfigConstants.STREAM_INITIAL_POSITION, "LATEST"); return env.addSource(new FlinkKinesisConsumer<>(inputStreamName, new SimpleStringSchema(), inputProperties)); } private static DataStream<String> createSourceFromApplicationProperties(StreamExecutionEnvironment env) throws IOException { Map<String, Properties> applicationProperties = KinesisAnalyticsRuntime.getApplicationProperties(); return env.addSource(new FlinkKinesisConsumer<>(inputStreamName, new SimpleStringSchema(), applicationProperties.get("ConsumerConfigProperties"))); } private static FlinkKinesisFirehoseProducer<String> createFirehoseSinkFromStaticConfig() { /* * com.amazonaws.services.kinesisanalytics.flink.connectors.config. * ProducerConfigConstants * lists of all of the properties that firehose sink can be configured with. */ Properties outputProperties = new Properties(); outputProperties.setProperty(ConsumerConfigConstants.AWS_REGION, region); FlinkKinesisFirehoseProducer<String> sink = new FlinkKinesisFirehoseProducer<>(outputStreamName, new SimpleStringSchema(), outputProperties); ProducerConfigConstants config = new ProducerConfigConstants(); return sink; } private static FlinkKinesisFirehoseProducer<String> createFirehoseSinkFromApplicationProperties() throws IOException { /* * com.amazonaws.services.kinesisanalytics.flink.connectors.config. * ProducerConfigConstants * lists of all of the properties that firehose sink can be configured with. */ Map<String, Properties> applicationProperties = KinesisAnalyticsRuntime.getApplicationProperties(); FlinkKinesisFirehoseProducer<String> sink = new FlinkKinesisFirehoseProducer<>(outputStreamName, new SimpleStringSchema(), applicationProperties.get("ProducerConfigProperties")); return sink; } public static void main(String[] args) throws Exception { // set up the streaming execution environment final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); /* * if you would like to use runtime configuration properties, uncomment the * lines below * DataStream<String> input = createSourceFromApplicationProperties(env); */ DataStream<String> input = createSourceFromStaticConfig(env); // Kinesis Firehose sink input.addSink(createFirehoseSinkFromStaticConfig()); // If you would like to use runtime configuration properties, uncomment the // lines below // input.addSink(createFirehoseSinkFromApplicationProperties()); env.execute("Flink Streaming Java API Skeleton"); } }
For a complete tutorial about how to use the Firehose sink, see Example: Writing to Firehose.