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From Emmanuel <ele...@msn.com>
Subject Socket output stream
Date Thu, 12 Mar 2015 00:05:59 GMT
Hi Marton,
Thanks for the info.
I've been trying to implement a socket sink but running into 'Not Serializable' kind of issues.I
was seeing in the Spark docs that this is typically an issue, where the socket should be created
on the worker node, as it can't be serialized to be moved from the supervisor.http://spark.apache.org/docs/1.1.0/streaming-programming-guide.html#design-patterns-for-using-foreachrdd
So, not sure how this would be implemented in Flink...My attempt (maybe very naive) looked
like this:
public static final class SocketSink extends RichSinkFunction<String> {
    private PrintWriter out;

    public SocketSink(String host, Integer port) throws IOException {
        Socket clientSocket = new Socket(host,port);
        out = new PrintWriter(clientSocket.getOutputStream(), true);

    public void invoke(String s) {

maybe i should just move to Kafka directly... ;/Thanks for helpEmmanuel

From: mbalassi@apache.org
Date: Wed, 11 Mar 2015 16:37:41 +0100
Subject: Fwd: Flink questions
To: eleroy@msn.com
CC: rmetzger@apache.org; hsaputra@apache.org; user@flink.apache.org

Dear Emmanuel,
I'm Marton, one of the Flink Streaming developers - Robert forwarded your issue to me. Thanks
for trying out our project.
1) Debugging: TaskManager logs are currently not forwarded to the UI, but you can find them
on the taskmanager machines in the log folder of your Flink distribution. We have this issue
on our agenda in the very near future - they need to be accessible from the UI.
2) Output to socket: Currently we do not have a preimplemented sink for sockets (although
we offer a socket source and sinks writing to Apache Kafka, Flume and RabbitMQ). You can easily
implement a socket sink by extending the abstract RichSinkFunction class though. [1]
For using that you can simply say dataStream.addSink(MySinkFunction()) - in that you can bring
up a socket or any other service. You would create a socket in the open function and then
in the invoke method you would write every value out to it.
I do agree that this is a nice tool to have so I have opened a JIRA ticket for it. [2]
3) Internal data format: Robert was kind enough to offer a more detailed answer on this issue.
In general streaming sinks support any file output that is supported by batch Flink including
Avro. You can use this functionality by dataStream.addSink(new FileSinkFunction<>(OutputFormat)).
[1] http://ci.apache.org/projects/flink/flink-docs-master/streaming_guide.html#connecting-to-the-outside-world
[2] https://issues.apache.org/jira/browse/FLINK-1688
MartonFrom: Emmanuel <eleroy@msn.com>
Date: 11. März 2015 14:59:31 MEZ
To: Robert Metzger <rmetzger@apache.org>, Henry Saputra <hsaputra@apache.org>
Subject: Flink questions


Thanks again for the help yesterday: the simple things go a long way to get me moving...
I have more questions i hope I can get your opinion and input about:
Debugging:What's the preferred or recommended way to proceed? I have been using some System.out.println()
statements in my simple test code, and the results are confusing:First, in the UI, the logs
are for the jobmanager.out, but there is never anything there; wherever i see output in a
log it's on the taskmanager.out fileAlso, even more confusing is the fact that often times
I just get no log at all... the UI says the topology is running, but nothing get printed out...Is
there a process you'd recommend to follow to debug properly with logs? 
Output to socketIdeally I'd like to print out to a socket/stream and read from another machine
so as not to choke the node with disk I/Os when testing performances. Not sure how to do that.
Internal Data formatFinally, a practical question about data format: we ingest JSON, which
is not convenient, and uses a lot of space. Internally Java/Scala prefers Tuples, and we were
thinking of using ProtoBuffs. There is also Avro that could do this as I understand it...
What would be the recommended way to format data internally?
Thanks for your input.


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