I did a simple fix for this issue here:
https://github.com/apache/beam/pull/9364

Tested locally and it fixes the problem. Can someone help take a look?

Thanks,
Hai

On Thu, Aug 15, 2019 at 9:16 AM Hai Lu <[email protected]> wrote:

> Hi,
>
> This is Hai from LinkedIn.
>
> I'm looking into a bug I found internally when using Beam portable API
> (Python) on our own Samza runner.
>
> The pipeline looks something like this:
>
>     (p
>      | 'read' >> ReadFromKafka(cluster="tracking", topic="PageViewEvent")
>      | 'transform' >> beam.Map(lambda event: process_event(event))
>      | 'window' >> beam.WindowInto(FixedWindows(15))
>      | 'group' >> *beam.CombinePerKey(beam.combiners.CountCombineFn())*
>      ...
>
> The problem comes from the combiners which cause the following exception
> on Java side:
>
> Caused by: java.lang.IllegalStateException: TimestampCombiner moved
> element from 2019-08-15T03:34:*45.000*Z to earlier time 2019-08-15T03:34:
> *44.999*Z for window [2019-08-15T03:34:30.000Z..2019-08-15T03:34:*45.000*
> Z)
>     at
> org.apache.beam.runners.core.WatermarkHold.shift(WatermarkHold.java:117)
>     at
> org.apache.beam.runners.core.WatermarkHold.addElementHold(WatermarkHold.java:154)
>     at
> org.apache.beam.runners.core.WatermarkHold.addHolds(WatermarkHold.java:98)
>     at
> org.apache.beam.runners.core.ReduceFnRunner.processElement(ReduceFnRunner.java:605)
>     at
> org.apache.beam.runners.core.ReduceFnRunner.processElements(ReduceFnRunner.java:349)
>     at
> org.apache.beam.runners.core.GroupAlsoByWindowViaWindowSetNewDoFn.processElement(GroupAlsoByWindowViaWindowSetNewDoFn.java:136)
>
> The exception happens here
> https://github.com/apache/beam/blob/master/runners/core-java/src/main/java/org/apache/beam/runners/core/WatermarkHold.java#L116
>  when
> we check the shifted timestamp to ensure it's before the timestamp.
>
>     if (shifted.isBefore(timestamp)) {
>       throw new IllegalStateException(
>           String.format(
>               "TimestampCombiner moved element from %s to earlier time %s
> for window %s",
>               BoundedWindow.formatTimestamp(timestamp),
>               BoundedWindow.formatTimestamp(shifted),
>               window));
>     }
>
> As you can see from the exception, the "shifted" is "XXX 44.999" while the
> "timestamp" is "XXX 45.000". The "44.999" is coming from
> TimestampCombiner.END_OF_WINDOW
> <https://github.com/apache/beam/blob/master/sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/windowing/TimestampCombiner.java#L116>
> :
>
>     @Override
>     public Instant merge(BoundedWindow intoWindow, Iterable<? extends
> Instant> mergingTimestamps) {
>       return intoWindow.maxTimestamp();
>     }
>
> where intoWindow.maxTimestamp() is:
>
>   /** Returns the largest timestamp that can be included in this window. */
>   @Override
>   public Instant maxTimestamp() {
>     *// end not inclusive*
>     return *end.minus(1)*;
>   }
>
> Hence, the "44.*999*".
>
> And the "45.000" comes from the Python side when the combiner output
> results as pre GBK operation: operations.py#PGBKCVOperation#output_key
> <https://github.com/apache/beam/blob/master/sdks/python/apache_beam/runners/worker/operations.py#L889>
>
>     if windows is 0:
>       self.output(_globally_windowed_value.with_value((key, value)))
>     else:
>       self.output(WindowedValue((key, value), *windows[0].end*, windows))
>
> Here when we generate the window value, the timestamp is assigned to the
> closed interval end (45.000) as opposed to open interval end (44.999)
>
> Clearly the "end of window" definition is a bit inconsistent across Python
> and Java. I'm yet to try this on other runner so not sure whether this is
> only an issue for our Samza runner. I tend to think this is a bug but would
> like to confirm with you. If this has not been an issue for other runners,
> where did I potentially do wrong.
>
> Right now I can bypass this issue by directly using GroupByKey (instead of
> any combiners) and do reducing on my own. But it would be much more
> convenient for us to use combiners.
>
> Any advice would be extremely helpful. Thank you in advance!
>
> -Hai
>

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