Hi Viktor September 8, 2024 at 5:20 PM, "Viktor Klang" <viktor.kl...@oracle.com> wrote: > > >The non-reusability is intentional here, being a drop-in replacement for > >`Stream::concat`. > > Gatherers are designed to be reusable, Streams not. So having a Gatherer > which isn't reusable would be a bit of a non-starter I'm afraid. Or perhaps I > misunderstood?
While I understand that most Gatherers will be reusable, and that it's a desirable characteristic, surely there will also be non-reusable Gatherers? In particular, any Gatherer that is the result of a factory method with a `Stream<T>` parameter which supports infinite Streams, will be non-reusable, won't it? For concatenation, I'd expect a `Gatherer append(T...)` to be reusable. But I'd find it equally intuitive for a `Gatherer concat(Stream<T>)` not to be reusable, since its argument might be an infinite Stream. In a previous response you proposed using `Gatherer concat(Supplier<Stream<T>>)` instead, but then I'd just pass `() -> aStream`, wonder why the parameter isn't just a `Stream<T>`, and the Gatherer would still not be reusable. As another example, take Gunnar Morling's zip Gatherers: https://github.com/gunnarmorling/zip-gatherer I don't see how Gatherers like this could be made reusable, or why that would even be desirable. > Personally, when I want to concat multiple streams of the same type I do: > > Stream.of(foo, bar).flatMap(identity).filter(…).map(…).toList(); Yes, this is the idiom mentioned by `Stream::concat`, but your `foo` is not equivalent to the one in my e-mail. My use case was about a pipeline where the concatenation comes somewhere in the middle of the pipeline. Currently we have to extract a variable for the first part of the pipeline and then use either `Stream::concat` or the above idiom to maintain readability. With a `concat` Gatherer, the pipeline could be written as one fluent chain of method invocations. Kind regards, Anthony > Cheers, > > √ > > **Viktor Klang** > Software Architect, Java Platform Group > > Oracle > > ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ > > **From:** Anthony Vanelverdinghe <d...@anthonyv.be> > **Sent:** Saturday, 7 September 2024 21:03 > **To:** Viktor Klang <viktor.kl...@oracle.com>; core-libs-dev@openjdk.org > <core-libs-dev@openjdk.org> > **Subject:** Re: [External] : Re: Stream Gatherers (JEP 473) feedback > > > September 2, 2024 at 10:36 AM, "Viktor Klang" <viktor.kl...@oracle.com> wrote: > > > > > > Hi Anthony, > > Hi Viktor > > > Thank you for your patience, I needed some time to experiment and think > > about your feedback. > > > > > > >* how realistic is it for type inference to be improved to the point that > > >usage of the Gatherers API wouldn't require type arguments? Both > > >technically and in terms of cost-benefit? > > > > > > If looking at the past to inform extrapolation into the future, then the > > trend is going in the direction of improving over time. > > > > > > >Gatherers.identity() > > > > > > I still need some time to experiment with this, as there are some > > implications. > > > For instance, if you do: **Steam.of(1).gather(Gatherers.identity()) **you'd > > want that gatherer to be dropped since it is a no-op, but you can't really > > do that without breaking the contract of Stream.gather, as that operation > > should "consume" the original Stream reference and return a new one (to > > preserve stream building linearity), so you'd still need to create a new > > ReferencePipeline instance which is a copy of the current one, and mark the > > previous as consumed)—in essence Stream.gather(identity) wouldn't be a > > no-op. > > > > > > There are some other, performance-related, things I'll need to verify as > > well before coming to any conclusion on this. > > > > > > >Gatherers.concat(Stream<T> stream) > > The non-reusability is intentional here, being a drop-in replacement for > `Stream::concat`. > > (In what follows, assume the ellipses are method references, and the > pipelines are nicely formatted and perfectly readable.) > > The idea is to be able to write pipelines of the form: > > var list = > foo.filter(...).map(...).flatMap(...).concat(bar).map(...).filter(...).gather(...).toList(); > > Currently you have to write such pipelines as: > > var list = Stream.concat(foo.filter(...).map(...).flatMap(...), > bar).map(...).filter(...).gather(...).toList(); > > or: > > var head = foo.filter(...).map(...).flatMap(...); > > var concatenated = Stream.concat(head, bar); > > var list = concatenated.map(...).filter(...).gather(...).toList(); > > But now you could write them as follows and retain a single, fluent pipeline: > > var list = > foo.filter(...).map(...).flatMap(...).gather(concat(bar)).map(...).filter(...).gather(...).toList(); > > My argument for including it would be that the above use case is common > enough. `Stream::concat` could then also reference it in its Javadoc as an > alternative. > > > Creating such a Gatherer means that it is not reusable. You'd need to have > > a Supplier<Stream<T>>. Otherwise this happens: > > > > > > jshell> public static <T> Gatherer<T, ?, T> > > **concat**(Stream<T>**newStream**) { > > > ...> return Gatherer.of( > > > ...> Gatherer.Integrator.ofGreedy((_, **e**, **d**) -> > > d.push(e)), > > > ...> (_, **d**) -> > > newStream.sequential().allMatch(d::push) > > > ...> ); > > > ...> } > > > ...> > > > | created method concat(Stream<T>) > > > > > > jshell> var **inject** = concat(Stream.of(1,2)) > > > inject ==> GathererImpl[initializer=DEFAULT, integrator=$Lam ... > > 00001c00000db898@1068e947] > > > > > > jshell> Stream.of(0).gather(inject.andThen(inject)).toList() > > > | Exception java.lang.IllegalStateException: stream has already been > > operated upon or closed > > > | at AbstractPipeline.evaluate (AbstractPipeline.java:260) > > > | at ReferencePipeline.allMatch (ReferencePipeline.java:677) > > > | at lambda$concat$1 (#4:4) > > > | at Gatherers$Composite.lambda$impl$3 (Gatherers.java:611) > > > | at GathererOp$GatherSink.end (GathererOp.java:181) > > > | at AbstractPipeline.copyInto (AbstractPipeline.java:571) > > > | at AbstractPipeline.wrapAndCopyInto (AbstractPipeline.java:560) > > > | at AbstractPipeline.evaluate (AbstractPipeline.java:636) > > > | at AbstractPipeline.evaluateToArrayNode (AbstractPipeline.java:291) > > > | at ReferencePipeline.toArray (ReferencePipeline.java:656) > > > | at ReferencePipeline.toArray (ReferencePipeline.java:662) > > > | at ReferencePipeline.toList (ReferencePipeline.java:667) > > > | at (#6:1) > > > > > > That being said, given how little code it takes to implement something like > > that, I am not sure it warrants inclusion: > > > jshell> public static <T> Gatherer<T, ?, T> > > **concat**(Supplier<?extends Stream<T>> **newStream**) { > > > ...> return Gatherer.of( > > > ...> Gatherer.Integrator.ofGreedy((**_**, **e**, **d**) > > -> d.push(e)), > > > ...> (**_**, **d**) -> > > newStream.get().sequential().allMatch(d::push) > > > ...> ); > > > ...> } > > > | created method concat(Supplier<? extends Stream<T>>) > > > > > > jshell> var **inject** = concat(() -> Stream.of(1,2)) > > > inject ==> GathererImpl[initializer=DEFAULT, integrator=$Lam ... > > 00001c00000d9c70@1a052a00] > > > > > > jshell> Stream.of(0).gather(inject.andThen(inject)).toList() > > > $1 ==> [0, 1, 2, 1, 2] > > > > > > Cheers, > > > > > > √ > > > > > > **Viktor Klang** > > > Software Architect, Java Platform Group > > > > > > Oracle > > Kind regards, > > Anthony > > > ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ > > > > > > **From:** Anthony Vanelverdinghe <d...@anthonyv.be> > > > **Sent:** Monday, 19 August 2024 20:37 > > > **To:** Viktor Klang <viktor.kl...@oracle.com>; core-libs-dev@openjdk.org > > <core-libs-dev@openjdk.org> > > > **Subject:** Re: [External] : Re: Stream Gatherers (JEP 473) feedback > > > > > > > > > August 15, 2024 at 1:27 PM, "Viktor Klang" <viktor.kl...@oracle.com> wrote: > > > > > > > > > > > > > > Hi Anthony, > > > > > > Hi Viktor > > > > > > > Thanks for the input—it's much appreciated! > > > > > > > > > > > > > > Introducing yet another, user-facing, type parameter to get slightly > > > improved type inference is unfortunately for me a too high of a price to > > > pay. Ideally, type inference/unification will be improved over time > > > making this issue go away without impacting any signatures. > > > > > > My arguments would be: > > > > > > * the type parameter enables using subtypes of Downstream, e.g. > > `Gatherer::integrator` could return an `Integrator<A, T, R, > > SpecialDownstream<R>>` > > > > > > * the type parameter improves type inference > > > > > > * the type parameter would increase usability. In my experience, nearly all > > Gatherers are created through the factory methods in Gatherer. And thanks > > to the improved type inference, I assert that all factory method > > invocations would work without any type arguments at all. Nowadays type > > inference is so good that I found it remarkable how often (relatively > > speaking) I need to provide type arguments with Gatherers, compared to > > other generic APIs. A substantial amount of Java developers has probably > > never even had to provide type arguments before, so being able to eliminate > > their need from the Gatherers API as well seems like a considerable > > advantage to me > > > > > > * how realistic is it for type inference to be improved to the point that > > usage of the Gatherers API wouldn't require type arguments? Both > > technically and in terms of cost-benefit? > > > > > > > I'm warming up to the idea of shipping a Gatherers.identity(), and before > > > that happens I would like to see more use-cases where having such a thing > > > would provide a real edge. I can come up with a bunch of synthetic > > > scenarios where it's a win, but it's always better to see app logic > > > numbers. > > > > > > To summarize previous mails, my arguments are: > > > > > > * it's a common Gatherer. Gatherers of the form `Gatherer<T, ?, T>` will > > likely have a degenerate case that is the identity. Some actual factory > > methods are `append(T... elements)` and `concat(Stream<T> stream)`, > > `prepend(T... elements)`, and `withInterpolationAt(Set<Instant> instants)`. > > > > > > * optimization: if a Stream pipeline only contains compositions of > > `Gatherer.identity()`, the Gatherers can be eliminated entirely from the > > pipeline and characteristics can be propagated. So for example > > `list.stream().gather(withInterpolationAt(aSetThatHappensToBeEmpty)).count()` > > would be optimized to `list.stream().count()` and return instantly. Note > > that while a homemade implementation could optimize its `andThen` > > implementation, it wouldn't be able to optimize `Gatherer::andThen` and > > `Stream::gather`. > > > > > > * API consistency: there's `Function.identity()`, so why not > > `Gatherers.identity()` (or `Gatherer.identity()`)? Actually I'd argue this > > method is more useful for Gatherers, since for Functions, this is often > > written as `o -> o` instead. For Gatherers there's no alternative like that. > > > > > > On a final note, in case it hasn't been done yet, I'd like to propose > > `Gatherers.concat(Stream<T> stream)`. The current `Stream::concat` doesn't > > allow fluent/readable concatenation of multiple streams. > > > > > > > Getting rid of the rawtypes in Value could be done, at any point since it > > > isn't exposed to user code. I'll keep this in mind for any upcoming > > > maintenance 👍 > > > > > > > > > > > > > > Keep the feedback coming 🙂 > > > > > > > > > > > > > > Cheers, > > > > > > > > > > > > > > √ > > > > > > Kind regards, > > > > > > Anthony > > > > > > > **Viktor Klang** > > > > > > > Software Architect, Java Platform Group > > > > > > > > > > > > > > Oracle > > > > > > > > > > > > > > ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ > > > > > > > > > > > > > > **From:** Anthony Vanelverdinghe <d...@anthonyv.be> > > > > > > > **Sent:** Tuesday, 13 August 2024 18:32 > > > > > > > **To:** Viktor Klang <viktor.kl...@oracle.com>; core-libs-dev@openjdk.org > > > <core-libs-dev@openjdk.org> > > > > > > > **Subject:** [External] : Re: Stream Gatherers (JEP 473) feedback > > > > > > > > > > > > > > > > > > > > > Hi Viktor > > > > > > > > > > > > > > Your previous response inspired me to experiment some more with Gatherers > > > > > > > > > > > > > > As a result I'd like to make a couple propositions: > > > > > > > > > > > > > > * add an additional type parameter. > > > > > > > > > > > > > > After doing so, type inference no longer needs any assistance: > > > > > > > > > > > > > > `var maxGatherer = Gatherer.ofSequential(State::new, State::integrate, > > > State::finish);` > > > > > > > > > > > > > > * add an identity Gatherer with an optimized `andThen` implementation > > > > > > > > > > > > > > as well as an optimization in the default implementation of > > > `Gatherer::andThen` > > > > > > > > > > > > > > * eliminate the use of raw types in `Gatherers.Value` > > > > > > > > > > > > > > Code that implements these propositions is in this gist: > > > https://urldefense.com/v3/__https://gist.github.com/anthonyvdotbe/37c85eaa86a7833051bc33f6fe88046c__;!!ACWV5N9M2RV99hQ!J9jmL_Q8cHhLAre5Oz5Dq3qafSXAQ2V8f-LrbjNY_tU4qSEx0LDudohXkxCugKiIJpm708DXqVct8oxUqg$ > > > > > > > > > > > > > > Kind regards, > > > > > > > > > > > > > > Anthony > > > > > > > > > > > > > > July 31, 2024 at 7:58 PM, "Viktor Klang" <viktor.kl...@oracle.com> wrote: > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Hi Anthony, > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >The use case is a time series, which has methods to return a Stream of > > > > >data points, `record DataPoint(Instant, BigDecimal)`. In DataPoint, > > > > >there are several Gatherer factory methods, one of which is > > > > >`Gatherer<DataPoint, ?, DataPoint> > > > > >withInterpolationAt(NavigableSet<Instant> instants)`. If > > > > >`instants.isEmpty()`, it returns a no-op Gatherer. In general, I guess > > > > >most factory methods with a collection parameter (and compatible type > > > > >arguments for T and R) will have a degenerate case like this when the > > > > >collection is empty. `<T> Gatherer<T, ?, T> append(T... elements)` > > > > >would be another example. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > `identity()` would also allow an optimized `andThen` implementation, > > > > simply returning its argument. And when uncomposed, the Stream library > > > > could eliminate the `gather` stage, allowing characteristics to > > > > propogate in this case. So > > > > `treeSet.stream().gather(identity()).sorted().distinct().toList()` > > > > could be optimized to `treeSet.stream().toList()`. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Have you experimented with implementing your own identity Gatherer and > > > > implemented its andThen to return the second argument? > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >That being said, I hadn't considered cases where an intermediate stage > > > > >in the pipeline would not propagate the characteristics. And in cases > > > > >where the intermediate stage doesn't affect the characteristics, it > > > > >would actually be worse to use something like > > > > >`Gatherers.sorted().andThen(…)`, instead of just keeping track of the > > > > >previous element and throwing an IllegalStateException if necessary. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Yeah, that or implementing a reorder buffer Gatherer (in case you have > > > > unique and continuous sequence numbers). > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >This raises a new question though: on line 27 I'd expect I wouldn't > > > > >need to specify the type arguments for the `ofSequential` method > > > > >invocation. Is this hitting inherent limitations of type inference or > > > > >is it possible that some generic type bounds aren't as generic as they > > > > >could be, prohibiting type inference in certain cases? > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Yes, there are some limitations to inference, you can see usage > > > > examples in the implementation of Gatherers which does need some > > > > assistance to > > > > inference:https://urldefense.com/v3/__https://github.com/openjdk/jdk/blob/master/src/java.base/share/classes/java/util/stream/Gatherers.java__;!!ACWV5N9M2RV99hQ!J9jmL_Q8cHhLAre5Oz5Dq3qafSXAQ2V8f-LrbjNY_tU4qSEx0LDudohXkxCugKiIJpm708DXqVdv0LXetA$ > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Cheers, > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > √ > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > **Viktor Klang** > > > > > > > > > > > > > > > Software Architect, Java Platform Group > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Oracle > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > **From:** Anthony Vanelverdinghe <d...@anthonyv.be> > > > > > > > > > > > > > > > **Sent:** Tuesday, 30 July 2024 17:20 > > > > > > > > > > > > > > > **To:** Viktor Klang <viktor.kl...@oracle.com>; > > > > core-libs-dev@openjdk.org <core-libs-dev@openjdk.org> > > > > > > > > > > > > > > > **Subject:** [External] : Re: Stream Gatherers (JEP 473) feedback > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > July 29, 2024 at 8:08 PM, "Viktor Klang" <viktor.kl...@oracle.com> > > > > wrote: > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Hi Anthony, > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Hi Viktor > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Thank you for your patience, and for providing feedback, it is always > > > > > much appreciated. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >When writing factory methods for Gatherers, there's sometimes a > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > degenerate case that requires returning a no-op Gatherer. So I'd like > > > > > a > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > way to mark a no-op Gatherer as such, allowing the Stream > > > > > implementation > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > to recognize and eliminate it from the pipeline. One idea is to add > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Gatherer.defaultIntegrator(), analogous to the other default… methods. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Another is to add Gatherers.identity(), analogous to > > > > > Function.identity(). > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > I contemplated adding that but in the end I decided I didn't want to > > > > > add it for the sake of adding it, > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > but rather adding it in case it was deemed necessary. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Do you have a concrete use-case (code) that you could share? > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > The use case is a time series, which has methods to return a Stream of > > > > data points, `record DataPoint(Instant, BigDecimal)`. In DataPoint, > > > > there are several Gatherer factory methods, one of which is > > > > `Gatherer<DataPoint, ?, DataPoint> > > > > withInterpolationAt(NavigableSet<Instant> instants)`. If > > > > `instants.isEmpty()`, it returns a no-op Gatherer. In general, I guess > > > > most factory methods with a collection parameter (and compatible type > > > > arguments for T and R) will have a degenerate case like this when the > > > > collection is empty. `<T> Gatherer<T, ?, T> append(T... elements)` > > > > would be another example. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > `identity()` would also allow an optimized `andThen` implementation, > > > > simply returning its argument. And when uncomposed, the Stream library > > > > could eliminate the `gather` stage, allowing characteristics to > > > > propogate in this case. So > > > > `treeSet.stream().gather(identity()).sorted().distinct().toList()` > > > > could be optimized to `treeSet.stream().toList()`. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >Sometimes a factory method returns a Gatherer that only works > > > > > >correctly > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > if the upstream has certain characteristics, for example > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Spliterator.SORTED or Spliterator.DISTINCT. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Do you have a concrete use-case (code) that you could share? > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > All the Streams that are returned from TimeSeries are well-formed: > > > > their data points are sorted and distinct. And the Gatherer factory > > > > methods in DataPoint assume that their upstreams have these > > > > characteristics. However, we can't prevent clients from constructing > > > > malformed Streams and invoking the Gatherers on them, which will give > > > > erroneous results. Now the Gatherer could keep track of the previous > > > > element and verify that the current element is greater than the > > > > previous. But the idea was to eliminate this bookkeeping for > > > > well-formed Streams, while still preventing erroneous results. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >One idea is to add methods > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > like Gatherers.sorted() and Gatherers.distinct(), where the Stream > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > implementation would be able to recognize and eliminate these from the > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > pipeline if the upstream already has these characteristics. That way > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > we'd be able to write `return Gatherers.sorted().andThen(…);`. Another > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > idea is to provide a Gatherer with a way to inspect the upstream > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > characteristics. If the upstream is missing the required > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > characteristic(s), it could then throw an IllegalStateException. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > I figured the latter idea isn't useful: the upstream might be sorted, > > > > even though it doesn't have the sorted characteristic. So it would be > > > > harsh for the Gatherer to throw an exception in that case. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > For a rather long time Gatherer had characteristics, however, > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > what I noticed is that given composition of Gatherers what ended up > > > > > happening > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > almost always was that the combination of characteristics added > > > > > overhead and devolved into the empty set > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > real fast. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Also, when it comes to things like sorted() and distinct(), they (by > > > > > necessity) have to get processed in full > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > before emitting anything downstream, which creates a lot of extra > > > > > memory allocation and doesn't lend themselves all that well to any > > > > > depth-first streaming. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > In the given use case, well-formed Streams would already have the > > > > sorted and distinct characteristics. So the idea was that the sorted() > > > > and distinct() gatherers would be eliminated from the pipeline entirely > > > > in those cases. Only malformed Streams would have to pay the cost of > > > > sorted() and distinct(), but that'd be an acceptable price for them to > > > > pay. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > That being said, I hadn't considered cases where an intermediate stage > > > > in the pipeline would not propagate the characteristics. And in cases > > > > where the intermediate stage doesn't affect the characteristics, it > > > > would actually be worse to use something like > > > > `Gatherers.sorted().andThen(…)`, instead of just keeping track of the > > > > previous element and throwing an IllegalStateException if necessary. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >The returns clause of Gatherer.Integrator::integrate just states > > > > > >"true > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > if subsequent integration is desired, false if not". In particular, it > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > doesn't document the behavior I'm observing, that returning false also > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > causes downstream to reject any further output elements. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Do you have a test case? (There was a bug fixed in this area after 22 > > > > > was released, so you may want to test it on a 23-ea) > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > I've uploaded a test case ( > > > > https://urldefense.com/v3/__https://gist.github.com/anthonyvdotbe/17e2285bb4f497ed91502b3c09b9a000__;!!ACWV5N9M2RV99hQ!K6tYLK81tcE53MJoE6Dy5VsdhRBlKjNSIbt2BZ-ymlsPWKXiD1FLu-nWwI8WoOyZWihFugQZw9kXEKupSw$ > > > > ), but this is indeed already fixed in JDK 23-ea. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > This raises a new question though: on line 27 I'd expect I wouldn't > > > > need to specify the type arguments for the `ofSequential` method > > > > invocation. Is this hitting inherent limitations of type inference or > > > > is it possible that some generic type bounds aren't as generic as they > > > > could be, prohibiting type inference in certain cases? > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Cheers, > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > √ > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > **Viktor Klang** > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Software Architect, Java Platform Group > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Oracle > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Kind regards, > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Anthony > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > **From:** core-libs-dev <core-libs-dev-r...@openjdk.org> on behalf of > > > > > Anthony Vanelverdinghe <d...@anthonyv.be> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > **Sent:** Saturday, 27 July 2024 08:57 > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > **To:** core-libs-dev@openjdk.org <core-libs-dev@openjdk.org> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > **Subject:** Stream Gatherers (JEP 473) feedback > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > When writing factory methods for Gatherers, there's sometimes a > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > degenerate case that requires returning a no-op Gatherer. So I'd like > > > > > a > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > way to mark a no-op Gatherer as such, allowing the Stream > > > > > implementation > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > to recognize and eliminate it from the pipeline. One idea is to add > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Gatherer.defaultIntegrator(), analogous to the other default… methods. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Another is to add Gatherers.identity(), analogous to > > > > > Function.identity(). > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Sometimes a factory method returns a Gatherer that only works > > > > > correctly > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > if the upstream has certain characteristics, for example > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Spliterator.SORTED or Spliterator.DISTINCT. One idea is to add methods > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > like Gatherers.sorted() and Gatherers.distinct(), where the Stream > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > implementation would be able to recognize and eliminate these from the > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > pipeline if the upstream already has these characteristics. That way > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > we'd be able to write `return Gatherers.sorted().andThen(…);`. Another > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > idea is to provide a Gatherer with a way to inspect the upstream > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > characteristics. If the upstream is missing the required > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > characteristic(s), it could then throw an IllegalStateException. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > The returns clause of Gatherer.Integrator::integrate just states "true > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > if subsequent integration is desired, false if not". In particular, it > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > doesn't document the behavior I'm observing, that returning false also > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > causes downstream to reject any further output elements. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > In the Implementation Requirements section of Gatherer, rephrasing > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > "Outputs and state later in the input sequence will be discarded if > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > processing an earlier partition short-circuits." to something like the > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > following would be clearer to me: "As soon as any partition > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > short-circuits, the whole Gatherer short-circuits. The state of other > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > partitions is discarded, i.e. there are no further invocations of the > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > combiner. The finisher is invoked with the short-circuiting > > > > > partition's > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > state." I wouldn't mention discarding of outputs, since that's implied > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > by the act of short-circuiting. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Anthony > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >