Github user aljoscha commented on the issue:
https://github.com/apache/flink/pull/2263
Oh, and I forgot: the checking for the correct number of elements can be
moved out of the window function and into the test itself, like this:
```
JobExecutionResult result = env.execute();
Assert.assertEquals(
(LATE_EVENTS_PER_SESSION + 1) * NUMBER_OF_SESSIONS *
EVENTS_PER_SESSION,
result.getAccumulatorResult(SESSION_COUNTER_ON_TIME_KEY));
Assert.assertEquals(
NUMBER_OF_SESSIONS * (LATE_EVENTS_PER_SESSION *
(LATE_EVENTS_PER_SESSION + 1) / 2),
result.getAccumulatorResult(SESSION_COUNTER_LATE_KEY));
```
Also, you can let the test class extend
`StreamingMultipleProgramsTestBase`. This will setup a testing cluster with
parallelism 4. You can then use this inside your test:
```
StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment()
```
If you make the source non-parallel the window operator will then run with
parallelism 4 and counting the number of elements after the job is done will
accumulate the counts from all parallel instances.
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