Hello,
Trying to understand why my code was giving strange results, I’ve ended up
adding “useless” controls in my code and came with what seems to me a bug. I
group my dataset according to a key, but in the reduceGroup function I am
passed values with different keys.
My code has the following pattern (mix of java & pseudo-code in []) :
inputDataSet [of InputRecord]
.joinWithTiny(referencesDataSet [of Reference])
.where([InputRecord SecondaryKeySelector]).equalTo([Reference KeySelector])
.groupBy([PrimaryKeySelector : Tuple2<InputRecord, Reference> ->
value.f0.getPrimaryKey()])
.sortGroup([DateKeySelector], Order.ASCENDING)
.reduceGroup(new ReduceFunction<InputRecord, OutputRecord>() {
@Override
public void reduce(Iterable< Tuple2<InputRecord, Reference>> values,
Collector<OutputRecord> out) throws Exception {
// Issue : all values do not share the same key
final List<Tuple2<InputRecord, Reference>> listValues = new
ArrayList<Tuple2<InputRecord, Reference>>();
for (final Tuple2<InputRecord, Reference>value : values) {
listValues.add(value); }
final long primkey = listValues.get(0).f0.getPrimaryKey();
for (int i = 1; i < listValues.size(); i++) {
if (listValues.get(i).f0.getPrimaryKey() != primkey) {
throw new IllegalStateException(primkey + " != " +
listValues.get(i).f0.getPrimaryKey());
==> This exception is fired !
}
}
}
}) ;
I use the current 0.10 snapshot. The issue appears in local cluster mode unit
tests as well as in yarn mode (however it’s ok when I test it with very few
elements).
The sortGroup is not the cause of the problem, as I do get the same error
without it.
Have I misunderstood the grouping concept or is it really an awful bug?
Best regards,
Arnaud
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