To me (6) PCollection<TypeDescribingWhatIsComplete> feels like an obvious
choice, and is actually the same as (4) at the core, as I think has pretty
much been said. Basically, the type actually describes what is going on. If
there's one or more PCollections doesn't really matter. All of the other
options seem strange to me, though I trust the authors had design reasons
that drove them to their choices, that we should anyhow respect and
consider. But using a worse type to make it easier to change doesn't make
sense to me. If we are in that unstable state, we should communicate it as
experimental, and there are easy backwards-compatible alternatives.

On Thu, Jun 27, 2019 at 9:32 AM Reuven Lax <re...@google.com> wrote:

> This is a good question, because many sinks are logically _not_ windowed.
> They aren't producing aggregations, so logically they are often treated as
> if they are in the global window (and many internal window into the global
> window first thing).
>

I would go farther and say that this applies to *all* sinks unless there's
a very special design consideration. When data exits the pipeline it is by
definition in the global window, even if there is windowing internally to
the write transform. "Windowed writes" is a particular way of _converting_
data into the global window.

The event time of the output from a write transform might naturally
describe either of: (a) the time at which the write took place (b) some
summary of the events that were written. So that output can then be
windowed. It is an interesting design decision how to balance these two.

Kenn


> Wait is a nice transform that reuses existing windowing, but I wonder if
> there's another way to model this without relying on windowing.
> Essentially you want way to track element provenance - when all results
> from a single element are flushed through another transform, then trigger a
> second transform. Element provenance is interesting in many other use cases
> as well (e.g. debugging: given an output element, what input elements
> caused it?). Maybe there's a more direct way to model this problem without
> trying to use windowing to track causality?
>
> Reuven
>
> On Thu, Jun 27, 2019 at 4:38 AM Reza Rokni <r...@google.com> wrote:
>
>> The use case of a transform  waiting for a SInk or Sinks to complete is
>> very interesting indeed!
>>
>> Curious, if a sink internally makes use of a Global Window with
>> processing time triggers to push its writes, what mechanism could be used
>> to release a transform waiting for a signal from the Sink(s) that all
>> processing is done and it can move forward?
>>
>> On Thu, 27 Jun 2019 at 03:58, Robert Bradshaw <rober...@google.com>
>> wrote:
>>
>>> Regarding Python, yes and no. Python doesn't distinguish at compile
>>> time between (1), (2), and (6), but that doesn't mean it isn't part of
>>> the public API and people might start counting on it, so it's in some
>>> sense worse. We can also do (3) (which is less cumbersome in Python,
>>> either returning a tuple or a dict) or (4).
>>>
>>> Good point about providing a simple solution (something that can be
>>> waited on at least) and allowing for with* modifiers to return more.
>>>
>>> On Wed, Jun 26, 2019 at 7:08 PM Chamikara Jayalath <chamik...@google.com>
>>> wrote:
>>> >
>>> > BTW regarding Python SDK, I think the answer to this question is
>>> simpler for Python SDK due to the lack of types. Most examples I know just
>>> return a PCollection from the Write transform which may or may not be
>>> ignored by users. If the PCollection is used, the user should be aware of
>>> the element type of the returned PCollection and should use it accordingly
>>> in subsequent transforms.
>>> >
>>> > Thanks,
>>> > Cham
>>> >
>>> > On Wed, Jun 26, 2019 at 9:57 AM Chamikara Jayalath <
>>> chamik...@google.com> wrote:
>>> >>
>>> >>
>>> >>
>>> >> On Wed, Jun 26, 2019 at 5:46 AM Robert Bradshaw <rober...@google.com>
>>> wrote:
>>> >>>
>>> >>> Good question.
>>> >>>
>>> >>> I'm not sure what could be done with (5) if it contains no deferred
>>> >>> objects (e.g there's nothing to wait on).
>>> >>>
>>> >>> There is also (6) return PCollection<SourceSpecificWriteResult>. The
>>> >>> advantage of (2) is that one can migrate to (1) or (6) without
>>> >>> changing the public API, while giving something to wait on without
>>> >>> promising anything about its contents.
>>> >>>
>>> >>>
>>> >>> I would probably lean towards (4) for anything that would want to
>>> >>> return multiple signals/outputs (e.g. successful vs. failed writes)
>>> >>> and view (3) as being a "cheap" but more cumbersome for the user way
>>> >>> of writing (4). In both cases, more information can be added in a
>>> >>> forward-compatible way. Technically (4) could extend (3) if one wants
>>> >>> to migrate from (3) to (4) to provide a nicer API in the future. (As
>>> >>> an aside, it would be interesting if any of the schema work that lets
>>> >>> us get rid of tuple tags for elements (e.g. join operations) could
>>> let
>>> >>> us get rid of tuple tags for PCollectionTuples (e.g. letting a POJO
>>> >>> with PCollection members be as powerful as a PCollectionTuple).
>>> >>>
>>> >>> On Wed, Jun 26, 2019 at 2:23 PM Ismaël Mejía <ieme...@gmail.com>
>>> wrote:
>>> >>> >
>>> >>> > Beam introduced in version 2.4.0 the Wait transform to delay
>>> >>> > processing of each window in a PCollection until signaled. This
>>> opened
>>> >>> > new interesting patterns for example writing to a database and when
>>> >>> > ‘fully’ done write to another database.
>>> >>> >
>>> >>> > To support this pattern an IO connector Write transform must
>>> return a
>>> >>> > type different from PDone to signal the processing of the next
>>> step.
>>> >>> > Some IOs have already started to implement this return type, but
>>> each
>>> >>> > returned type has different pros and cons so I wanted to open the
>>> >>> > discussion on this to see if we could somehow find a common
>>> pattern to
>>> >>> > suggest IO authors to follow (Note: It may be the case that there
>>> is
>>> >>> > not a pattern that fits certain use cases).
>>> >>> >
>>> >>> > So far the approaches in our code base are:
>>> >>> >
>>> >>> > 1. Write returns ‘PCollection<Void>’
>>> >>> >
>>> >>> > This is the simplest case but if subsequent transforms require more
>>> >>> > data that could have been produced during the write it gets ‘lost’.
>>> >>> > Used by JdbcIO and DynamoDBIO.
>>> >>> >
>>> >>> > 2. Write returns ‘PCollection<?>’
>>> >>> >
>>> >>> > We can return whatever we want but the return type is uncertain for
>>> >>> > the user in case he wants to use information from it. This is less
>>> >>> > user friendly but has the maintenance advantage of not changing
>>> >>> > signatures if we want to change the return type in the future.
>>> Used by
>>> >>> > RabbitMQIO.
>>> >>> >
>>> >>> > 3. Write returns a `PCollectionTuple`
>>> >>> >
>>> >>> > It is like (2) but with the advantage of returning an untyped
>>> tuple of
>>> >>> > PCollections so we can return more things. Used by SnsIO.
>>> >>> >
>>> >>> > 4. Write returns ‘a class that implements POutput’
>>> >>> >
>>> >>> > This class wraps inside of the PCollections that were part of the
>>> >>> > write, e.g. SpannerWriteResult. This is useful because we can be
>>> >>> > interested on saving inside a PCollection of failed mutations
>>> apart of
>>> >>> > the ‘done’ signal. Used by BigQueryIO and SpannerIO. A generics
>>> case
>>> >>> > of this one is used by FileIO for Destinations via:
>>> >>> > ‘WriteFilesResult<DestinationT>’.
>>> >>> >
>>> >>> > 5. Write returns ‘a class that implements POutput’ with specific
>>> data
>>> >>> > (no PCollections)
>>> >>> >
>>> >>> > This is similar to (4) but with the difference that the returned
>>> type
>>> >>> > contains the specific data that may be needed next, for example
>>> not a
>>> >>> > PCollection but values like the number of rows written. Used by
>>> >>> > BigtableIO (PR in review at the moment). (This can be seen as a
>>> >>> > simpler version of 4).
>>> >>
>>> >>
>>> >> Thanks Ismaël for detailing various approaches with examples.
>>> >>
>>> >> I think current PR for BigTable returns a
>>> PCollection<BigTableWriteResult>  from a PTransform 'WithWriteResults' that
>>> can be optionally invoked through a BigTableIO.Write.withWriteResults(). So
>>> this is more closer to (6) Robert mentioned. But (1) was also discussed as
>>> an option. PR is https://github.com/apache/beam/pull/7805 for anybody
>>> interested.
>>> >>
>>> >> I think (6) is less cumbersome to implement/use and allows us to
>>> easily extend the transform through more chaining or by changing the return
>>> transform through additional "with*" methods to the FooIO.Write class.
>>> >>
>>> >> Thanks,
>>> >> Cham
>>> >>
>>> >>> >
>>> >>> > I would like to have your opinions on which approach you think it
>>> is
>>> >>> > better or worse and arguments if you see other
>>> >>> > advantages/disadvantages. I am probably more in the (4) camp but I
>>> >>> > feel somehow attracted by the flexibility that the lack of strict
>>> >>> > typing brings in (2, 3) in case of changes to the public IO API (of
>>> >>> > course this can be contested too).
>>> >>> >
>>> >>> > Any other ideas, preferences, issues we may be missing?
>>>
>>
>>
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