Hmmm after expanding the dataset such that there was additional data that
ended up on shard-0 (everything in my original dataset was coincidentally
landing on shard-1) I am now getting output... should I expect this kind of
behaviour if no data arrives at shard-0 ever?

On Tue, 19 Feb 2019 at 11:14, Stephen Connolly <
[email protected]> wrote:

> Hi, I’m having a strange situation and I would like to know where I should
> start trying to debug.
>
> I have set up a configurable swap in source, with three implementations:
>
> 1. A mock implementation
> 2. A Kafka consumer implementation
> 3. A Kinesis consumer implementation
>
> From injecting a log and no-op map function I can see that all three
> sources pass through the events correctly.
>
> I then have a window based on event time stamps… and from inspecting the
> aggregation function I can see that the data is getting aggregated…, I’m
> using the `.aggregate(AggregateFunction.WindowFunction)` variant so that I
> can retrieve the key
>
> Here’s the strange thing, I only change the source (and each source uses
> the same deserialization function) but:
>
>
>    - When I use either Kafka or my Mock source, the WindowFunction gets
>    called as events pass the end of the window
>    - When I use the Kinesis source, however, the window function never
>    gets called. I have even tried injecting events into kinesis with really
>    high timestamps to flush the watermarks in my
>    BoundedOutOfOrdernessTimestampExtractor... but nothing
>
> I cannot see how this source switching could result in such a different
> behaviour:
>
>         Properties sourceProperties = new Properties();
>         ConsumerFactory sourceFactory;
>         String sourceName = configParams.getRequired("source");
>         switch (sourceName.toLowerCase(Locale.ENGLISH)) {
>             case "kinesis":
>                 sourceFactory = FlinkKinesisConsumer::new;
>                 copyOptionalArg(configParams, "aws-region",
> sourceProperties, AWSConfigConstants.AWS_REGION);
>                 copyOptionalArg(configParams, "aws-endpoint",
> sourceProperties, AWSConfigConstants.AWS_ENDPOINT);
>                 copyOptionalArg(configParams, "aws-access-key",
> sourceProperties, AWSConfigConstants.AWS_ACCESS_KEY_ID);
>                 copyOptionalArg(configParams, "aws-secret-key",
> sourceProperties, AWSConfigConstants.AWS_SECRET_ACCESS_KEY);
>                 copyOptionalArg(configParams, "aws-profile",
> sourceProperties, AWSConfigConstants.AWS_PROFILE_NAME);
>                 break;
>             case "kafka":
>                 sourceFactory = FlinkKafkaConsumer010::new;
>                 copyRequiredArg(configParams, "bootstrap-server",
> sourceProperties, "bootstrap.servers");
>                 copyOptionalArg(configParams, "group-id",
> sourceProperties, "group.id");
>                 break;
>             case "mock":
>                 sourceFactory = MockSourceFunction::new;
>                 break;
>             default:
>                 throw new RuntimeException("Unknown source '" + sourceName
> + '\'');
>         }
>
>         // set up the streaming execution environment
>         final StreamExecutionEnvironment env =
> StreamExecutionEnvironment.getExecutionEnvironment();
>
>         // poll watermark every second because using
> BoundedOutOfOrdernessTimestampExtractor
>         env.getConfig().setAutoWatermarkInterval(1000L);
>         env.enableCheckpointing(5000);
>
>         SplitStream<JsonNode> eventsByType =
> env.addSource(sourceFactory.create(
>                 configParams.getRequired("topic"),
>                 new ObjectNodeDeserializationSchema(),
>                 sourceProperties
>         ))
>                 .returns(ObjectNode.class) // the use of ConsumerFactory
> erases the type info so add it back
>                 .name("raw-events")
>                 .assignTimestampsAndWatermarks(
>                         new
> ObjectNodeBoundedOutOfOrdernessTimestampExtractor("timestamp",
> Time.seconds(5))
>                 )
>                 .split(new JsonNodeOutputSelector("eventType"));
> ...
>         eventsByType.select(...)
>                 .keyBy(new JsonNodeStringKeySelector("_key"))
>
> .window(TumblingEventOffsetPerKeyEventTimeWindows.of(Time.seconds(windowDuration),
>                         (KeySelector<JsonNode, Time>)
> TasksMain::offsetPerMaster))
>                 .trigger(EventTimeTrigger.create())
>                 .aggregate(new CountsAggregator<>(), new KeyTagger<>()) //
> <==== The CountsAggregator is seeing the data
>                 .print() // <==== HERE is where we get no output from
> Kinesis... but Kafka and my Mock are just fine!
>
>
>

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