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https://issues.apache.org/jira/browse/FLINK-3230?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15247649#comment-15247649
 ] 

ASF GitHub Bot commented on FLINK-3230:
---------------------------------------

Github user rmetzger commented on a diff in the pull request:

    https://github.com/apache/flink/pull/1910#discussion_r60220641
  
    --- Diff: 
flink-streaming-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/examples/ProduceIntoKinesis.java
 ---
    @@ -0,0 +1,75 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You 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 org.apache.flink.streaming.connectors.kinesis.examples;
    +
    +import org.apache.commons.lang3.RandomStringUtils;
    +import org.apache.flink.api.java.utils.ParameterTool;
    +import org.apache.flink.streaming.api.datastream.DataStream;
    +import 
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
    +import org.apache.flink.streaming.api.functions.source.SourceFunction;
    +import org.apache.flink.streaming.connectors.kinesis.FlinkKinesisProducer;
    +import org.apache.flink.streaming.connectors.kinesis.KinesisPartitioner;
    +import 
org.apache.flink.streaming.connectors.kinesis.KinesisSerializationSchema;
    +import org.apache.flink.streaming.util.serialization.SimpleStringSchema;
    +
    +import java.nio.ByteBuffer;
    +
    +/**
    + * This is an example on how to produce data into Kinesis
    + */
    +public class ProduceIntoKinesis {
    +
    +   public static void main(String[] args) throws Exception {
    +           ParameterTool pt = ParameterTool.fromArgs(args);
    +
    +           StreamExecutionEnvironment see = 
StreamExecutionEnvironment.getExecutionEnvironment();
    +           see.setParallelism(1);
    +
    +           DataStream<String> simpleStringStream = see.addSource(new 
EventsGenerator());
    +
    +           FlinkKinesisProducer<String> kinesis = new 
FlinkKinesisProducer<>(pt.getRequired("region"),
    +                           pt.getRequired("accessKey"),
    +                           pt.getRequired("secretKey"), new 
SimpleStringSchema());
    +
    +           kinesis.setFailOnError(true);
    +           kinesis.setDefaultStream("test-flink");
    +           kinesis.setDefaultPartition("0");
    +
    +           simpleStringStream.addSink(kinesis);
    +
    +           see.execute();
    +   }
    +
    +   public static class EventsGenerator implements SourceFunction<String> {
    +           private boolean running = true;
    +
    +           @Override
    +           public void run(SourceContext<String> ctx) throws Exception {
    +                   long seq = 0;
    +                   while(running) {
    +
    --- End diff --
    
    Its invisible code ;)


> Kinesis streaming producer
> --------------------------
>
>                 Key: FLINK-3230
>                 URL: https://issues.apache.org/jira/browse/FLINK-3230
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Streaming Connectors
>            Reporter: Tzu-Li (Gordon) Tai
>            Assignee: Robert Metzger
>
> Add a FlinkKinesisProducer for the Flink Kinesis streaming connector. We will 
> be using AWS SDK implementation for code consistency with the 
> FlinkKinesisConsumer.
> The features of FlinkKinesisProducer is rather straightforward:
> 1. Partition put records based on partition key.
> 2. Configurable put mode: Bulk put for higher throughput vs. sequential 
> single record puts. Size of bulk should also be configurable.
> 3. For bulk put, user can also choose to enforce strict ordering of the 
> result with the tradeoff of higher put latency. Ref: 
> https://brandur.org/kinesis-order



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