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Posted to issues@flink.apache.org by "Aljoscha Krettek (JIRA)" <ji...@apache.org> on 2015/08/27 17:50:45 UTC

[jira] [Comment Edited] (FLINK-2585) KafkaSource not working

    [ https://issues.apache.org/jira/browse/FLINK-2585?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14716900#comment-14716900 ] 

Aljoscha Krettek edited comment on FLINK-2585 at 8/27/15 3:49 PM:
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I see, I think the problem is that you are using a StdOut Sink ({{print()}}) for emitting the data. If you run the program on a cluster this will print to the StdOut on the TaskManager. If you look into the logs directories of the TaskManagers you should see the output. 

The {{print()}} method is useful for quick stuff inside an IDE where you get the StdOut in your terminal but I admit that the documentation is not very good in telling people that it is problematic in a cluster setting.

I think if you also emit your data to another kafka topic you should have it a lot easier. 


was (Author: aljoscha):
I see, I think the problem is that you are using a StdOut Sink ({print()}) for emitting the data. If you run the program on a cluster this will print to the StdOut on the TaskManager. If you look into the logs directories of the TaskManagers you should see the output. 

The {print()} method is useful for quick stuff inside an IDE where you get the StdOut in your terminal but I admit that the documentation is not very good in telling people that it is problematic in a cluster setting.

I think if you also emit your data to another kafka topic you should have it a lot easier. 

> KafkaSource not working
> -----------------------
>
>                 Key: FLINK-2585
>                 URL: https://issues.apache.org/jira/browse/FLINK-2585
>             Project: Flink
>          Issue Type: Bug
>            Reporter: Boyang Jerry Peng
>
> I tried running the KafkaConsumerExample with that is subscribing to a console producer of kafka but the KafkaConsumerExample topology was not receiving any data from Kafka.  Then I wrote my own topology that uses Kafka as a source but it didn't work as well.  The topologies would run but receive not data.  If I run a console consumer that subscibes to the topic of the console producer, the console consumer receives data from the producer which indicates the producer is working correctly.  Can someone help me with this problem?  
> Kafka console producer I am running:
> bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test 
> The flink code I am running:
> {code}
> public class KafkaDataProcessor {
> 	private static int port;
> 	private static String hostname;
> 	private static String topic;
> 	private static final Logger LOG = LoggerFactory.getLogger(KafkaDataProcessor.class);
> 	public static void main(String[] args) {
> 		if (!parseParameters(args)) {
> 			return;
> 		}
> 		System.out.println("Start listening for data on: " + hostname + ":" + port + " for topic: " + topic);
> 		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
> 		DataStream<Tuple2<String, Integer>> dataStream = env
> 						.addSource(new KafkaSource(hostname + ":" + port, topic, "test-consumer-group", new SimpleStringSchema(), 200L), "Kafka source").setParallelism(2)
> 										.flatMap(new Splitter()).setParallelism(2)
> 										.groupBy(0)
> 										.sum(1).setParallelism(2);
> 		dataStream.print().setParallelism(2);
> 		try {
> 			env.execute("kafka processor");
> 		} catch (Exception e) {
> 			e.printStackTrace();
> 		}
> 	}
> 	public static class Splitter implements FlatMapFunction<String, Tuple2<String, Integer>> {
> 		@Override
> 		public void flatMap(String sentence, Collector<Tuple2<String, Integer>> out) throws Exception {
> 			for (String word : sentence.split(" ")) {
> 				System.out.println("word: " + word);
> 				LOG.info("word: {}", word);
> 				out.collect(new Tuple2<String, Integer>(word, 1));
> 			}
> 		}
> 	}
> 	private static boolean parseParameters(String[] args) {
> 		if (args.length > 0) {
> 			if (args.length == 3) {
> 				hostname = args[0];
> 				port = Integer.parseInt(args[1]);
> 				topic = args[2];
> 			} else {
> 				System.err.println("Usage: KafkaDataProcessor <hostname> <Port> <topic>");
> 				return false;
> 			}
> 		} else {
> 			System.out.println("Executing KafkaDataProcessor example with built-in default data.");
> 			System.out.println("  Provide Hostname and Port to read input data from.");
> 			System.out.println("  Usage: KafkaDataProcessor <Hostname> <Port> <topic>");
> 			return false;
> 		}
> 		return true;
> 	}
> }
> {code}



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