So, should I change join and coGroup to have a simple return value, no
Option or Collection? Also what's happening with the relational
examples and the LinearRegression examples? I'd like to make a pull
request before this weekend.

I also added a test that checks whether the Scala API has the same
methods as the Java API (ScalaAPICompletenessTest).

On Fri, Sep 12, 2014 at 4:00 PM, Aljoscha Krettek <[email protected]> wrote:
> Yes, there is already a Collector version, you can do:
>
> left.join(right).where("foo").equalTo("bar") {
>   (left, right, out: Collector[Page]) =>
>     if (...) out.collect(...)
> }
>
> I wasn't sure on what our Function2 variant should be. That's why I
> asked. There are some cases where you want to have the option (pun
> intended) of either returning something from a join or not. But you
> could also use a filter after the join. It's a preference thing, I
> suppose.
>
> On Fri, Sep 12, 2014 at 2:43 PM, Stephan Ewen <[email protected]> wrote:
>> I think it seems weird that normal joins need to go through option.
>>
>> The option variant is to allow filters in the join function. Wouldn't a
>> collector variant allow you to do the same, and would be function3 ? I know
>> that option reads more functionally...
>>
>>
>>
>> Am 12.09.2014 14:24 schrieb "Aljoscha Krettek" <[email protected]>:
>>>
>>> As already mentioned this is not possible because of type erasure. We
>>> can only have one join variant that takes a Function2.
>>>
>>> On Fri, Sep 12, 2014 at 12:34 PM, Stephan Ewen <[email protected]> wrote:
>>> > It would be nice to have a join variant that directly returns the value
>>> > rathern than an option. Why not have both (they are wrapped as flatJoins
>>> > anyway below, right?)
>>> >
>>> > On Fri, Sep 12, 2014 at 11:50 AM, Fabian Hueske <[email protected]>
>> wrote:
>>> >
>>> >> Sweet! I'm lovin' this :-)
>>> >>
>>> >> 2014-09-12 11:46 GMT+02:00 Aljoscha Krettek <[email protected]>:
>>> >>
>>> >> > Also, you can use CaseClasses directly as the type for CSV input. So
>>> >> > instead of reading it as tuples and then having a mapper that maps to
>>> >> > your case classes you can use:
>>> >> >
>>> >> > env.readCsv[Edge](...)
>>> >> >
>>> >> > On Fri, Sep 12, 2014 at 11:43 AM, Aljoscha Krettek <
>> [email protected]>
>>> >> > wrote:
>>> >> > > I added support for specifying keys by name for CaseClasses. Check
>> out
>>> >> > > the PageRank and TriangleEnumeration examples to see it in action.
>>> >> > >
>>> >> > > @Kostas: I think you could use them for the TPC-H examples.
>>> >> > >
>>> >> > > On Fri, Sep 12, 2014 at 7:23 AM, Aljoscha Krettek <
>> [email protected]
>>> >> >
>>> >> > wrote:
>>> >> > >> Yes, that would allow list comprehensions. It would be possible to
>>> >> > >> have the Collection signature for join (and coGroup), i.e.:
>>> >> > >>
>>> >> > >> apply[R]((T, O) => TraversableOnce[O]): DataSet[O]
>>> >> > >>
>>> >> > >> (T and O are the left and right input type, R is result type)
>>> >> > >>
>>> >> > >> Then you can return collections and still return an option, as in:
>>> >> > >>
>>> >> > >> a.join(b).where(0).equalTo(0) { (l, r) => if (r > ...) Some(l)
>> else
>>> >> > None }
>>> >> > >>
>>> >> > >> Because there is an implicit conversion from Options to a
>> Collection.
>>> >> > >> This will always wrap the return value in a List with only one
>> value.
>>> >> > >> I'm not sure we want the overhead here. I'm also not sure whether
>> we
>>> >> > >> want the overhead of always having to use an Option even though
>> the
>>> >> > >> join always returns a value.
>>> >> > >>
>>> >> > >> What do you think?
>>> >> > >>
>>> >> > >> On Thu, Sep 11, 2014 at 11:22 PM, Fabian Hueske <
>> [email protected]>
>>> >> > wrote:
>>> >> > >>> Hmmm, tricky question...
>>> >> > >>> How about the Option for Join as this is a tuple-wise operation
>> and
>>> >> the
>>> >> > >>> Collection for Cogroup which is group-wise?
>>> >> > >>> Could we in that case use list comprehensions in Cogroup
>> functions?
>>> >> > >>>
>>> >> > >>> Or is that too much mixing?
>>> >> > >>>
>>> >> > >>> 2014-09-11 23:00 GMT+02:00 Aljoscha Krettek <[email protected]
>>>:
>>> >> > >>>
>>> >> > >>>> I didn't look at the example either.
>>> >> > >>>>
>>> >> > >>>> Addings collections is easy, it's just that we can either have
>>> >> > >>>> Collections or the Option, not both.
>>> >> > >>>>
>>> >> > >>>> For the coding style I followed this:
>>> >> > >>>>
>>> >> >
>> https://cwiki.apache.org/confluence/display/SPARK/Spark+Code+Style+Guide
>>> >> ,
>>> >> > >>>> which itself is based on this: http://docs.scala-lang.org/style/
>> .
>>> >> It
>>> >> > >>>> is different from the Java Code Guidelines we have in place,
>> yes.
>>> >> > >>>>
>>> >> > >>>> On Thu, Sep 11, 2014 at 10:10 PM, Fabian Hueske <
>> [email protected]
>>> >> >
>>> >> > >>>> wrote:
>>> >> > >>>> > I haven't looked at the LineRank example in detail, but if you
>>> >> > think that
>>> >> > >>>> > it adds something new to the examples collection, we can
>> certainly
>>> >> > port
>>> >> > >>>> it
>>> >> > >>>> > also to Java.
>>> >> > >>>> > I think the Option and Collector return types are sufficient
>> right
>>> >> > now
>>> >> > >>>> but
>>> >> > >>>> > if Collections are easy to add, go for it. ;-)
>>> >> > >>>> >
>>> >> > >>>> > Great that the Scala primitives are working! Also thanks for
>>> >> adding
>>> >> > >>>> > genSequence and adapting my examples.
>>> >> > >>>> > Btw. does the codestyle not apply for Scala files or do we
>> have a
>>> >> > >>>> different
>>> >> > >>>> > there?
>>> >> > >>>> >
>>> >> > >>>> > 2014-09-11 17:55 GMT+02:00 Aljoscha Krettek <
>> [email protected]
>>> >> >:
>>> >> > >>>> >
>>> >> > >>>> >> What about the LineRank example? We had that in Scala but
>> never
>>> >> > had a
>>> >> > >>>> >> Java Example.
>>> >> > >>>> >>
>>> >> > >>>> >> On Thu, Sep 11, 2014 at 5:51 PM, Aljoscha Krettek <
>>> >> > [email protected]>
>>> >> > >>>> >> wrote:
>>> >> > >>>> >> > Yes, I like that. For the ITCases I always just copied the
>> Java
>>> >> > >>>> ITCase.
>>> >> > >>>> >> >
>>> >> > >>>> >> > The only examples that are missing now are
>> LinearRegression and
>>> >> > the
>>> >> > >>>> >> > relational stuff.
>>> >> > >>>> >> >
>>> >> > >>>> >> > On Thu, Sep 11, 2014 at 5:48 PM, Fabian Hueske <
>>> >> > [email protected]>
>>> >> > >>>> >> wrote:
>>> >> > >>>> >> >> I just removed the old CountEdgeDegrees example.
>>> >> > >>>> >> >> That was a preprocessing step for the
>> TriangleEnumeration, and
>>> >> > is now
>>> >> > >>>> >> part
>>> >> > >>>> >> >> of the new TriangleEnumerationOpt example.
>>> >> > >>>> >> >> So I guess, we don't need to port that one. As I said
>> before,
>>> >> > I'd
>>> >> > >>>> >> prefer to
>>> >> > >>>> >> >> keep Java and Scala examples in sync.
>>> >> > >>>> >> >>
>>> >> > >>>> >> >> Cheers, Fabian
>>> >> > >>>> >> >>
>>> >> > >>>> >> >> 2014-09-11 17:40 GMT+02:00 Aljoscha Krettek <
>>> >> > [email protected]>:
>>> >> > >>>> >> >>
>>> >> > >>>> >> >>> I added the PageRank example, thanks again fabian. :D
>>> >> > >>>> >> >>>
>>> >> > >>>> >> >>> Regarding the other stuff:
>>> >> > >>>> >> >>>  - There is a comment in DataSet.scala about including
>>> >> > >>>> >> >>> org.apache.flink.api.scala._ because of the
>> TypeInformation.
>>> >> > >>>> >> >>>  - I added generateSequence to ExecutionEnvironment.
>>> >> > >>>> >> >>>  - It is possible to use Scala Primitives in Array, I
>> noticed
>>> >> > it
>>> >> > >>>> while
>>> >> > >>>> >> >>> writing the tests, you probably had an older version of
>> the
>>> >> > code.
>>> >> > >>>> >> >>>  - Yes, using List and other Interfaces is not possible,
>> this
>>> >> > is
>>> >> > >>>> also
>>> >> > >>>> >> >>> a restriction in the Java API.
>>> >> > >>>> >> >>>
>>> >> > >>>> >> >>> What do you think about the interface of join and
>> coGroup?
>>> >> > Right
>>> >> > >>>> now,
>>> >> > >>>> >> >>> you can either use a lambda that returns an Option or the
>>> >> > lambda
>>> >> > >>>> with
>>> >> > >>>> >> >>> the Collector. Originally I wanted to have also have a
>> lambda
>>> >> > that
>>> >> > >>>> >> >>> returns a Collection, but due to type erasure this has
>> the
>>> >> > same type
>>> >> > >>>> >> >>> as the lambda with the Option so I couldn't use it.
>> There is
>>> >> an
>>> >> > >>>> >> >>> implicit conversion from Option to a Collection, so I
>> could
>>> >> > change
>>> >> > >>>> it
>>> >> > >>>> >> >>> without breaking the examples we have now. What do you
>> think?
>>> >> > >>>> >> >>>
>>> >> > >>>> >> >>> So far we have ported: WordCount, KMeans,
>>> >> ConnectedComponents,
>>> >> > >>>> >> >>> WebLogAnalysis, TransitiveClosureNaive,
>>> >> > >>>> TriangleEnumerationNaive/Opt,
>>> >> > >>>> >> >>> PageRank
>>> >> > >>>> >> >>>
>>> >> > >>>> >> >>> These are the examples people called dibs on:
>>> >> > >>>> >> >>>  - BatchGradientDescent (Márton) (Should be a port of
>>> >> > >>>> LinearRegression
>>> >> > >>>> >> >>> Example from Java)
>>> >> > >>>> >> >>>  - ComputeEdgeDegrees (Hermann)
>>> >> > >>>> >> >>>
>>> >> > >>>> >> >>> Those are unclaimed (if I'm not mistaken):
>>> >> > >>>> >> >>>  - The relational Stuff
>>> >> > >>>> >> >>>
>>> >> > >>>> >> >>> On Thu, Sep 11, 2014 at 3:06 PM, Stephan Ewen <
>>> >> > [email protected]>
>>> >> > >>>> >> wrote:
>>> >> > >>>> >> >>> > +1 for removing RelationQuery
>>> >> > >>>> >> >>> >
>>> >> > >>>> >> >>> > On Thu, Sep 11, 2014 at 3:04 PM, Aljoscha Krettek <
>>> >> > >>>> >> [email protected]>
>>> >> > >>>> >> >>> > wrote:
>>> >> > >>>> >> >>> >
>>> >> > >>>> >> >>> >> By the way, what was called BatchGradientDescent in
>> the
>>> >> > Scala
>>> >> > >>>> >> examples
>>> >> > >>>> >> >>> >> should be replaced by a port of the LinearRegression
>>> >> > Example from
>>> >> > >>>> >> >>> >> Java. I had them as two separate examples earlier.
>>> >> > >>>> >> >>> >>
>>> >> > >>>> >> >>> >> What about RelationalQuery and TPC-H-Q3. Any thoughts
>>> >> about
>>> >> > >>>> removing
>>> >> > >>>> >> >>> >> RelationalQuery?
>>> >> > >>>> >> >>> >>
>>> >> > >>>> >> >>> >> On Thu, Sep 11, 2014 at 11:43 AM, Aljoscha Krettek <
>>> >> > >>>> >> [email protected]
>>> >> > >>>> >> >>> >
>>> >> > >>>> >> >>> >> wrote:
>>> >> > >>>> >> >>> >> > I added the Triangle Enumeration Examples, thanks
>>> >> Fabian.
>>> >> > >>>> >> >>> >> >
>>> >> > >>>> >> >>> >> > So far we have ported: WordCount, KMeans,
>>> >> > ConnectedComponents,
>>> >> > >>>> >> >>> >> > WebLogAnalysis, TransitiveClosureNaive,
>>> >> > >>>> >> TriangleEnumerationNaive/Opt
>>> >> > >>>> >> >>> >> >
>>> >> > >>>> >> >>> >> > These are the examples people called dibs on:
>>> >> > >>>> >> >>> >> >  - PageRank (Fabian)
>>> >> > >>>> >> >>> >> >  - BatchGradientDescent (Márton)
>>> >> > >>>> >> >>> >> >  - ComputeEdgeDegrees (Hermann)
>>> >> > >>>> >> >>> >> >
>>> >> > >>>> >> >>> >> > Those are unclaimed (if I'm not mistaken):
>>> >> > >>>> >> >>> >> >  - The relational Stuff
>>> >> > >>>> >> >>> >> >  - LinearRegression
>>> >> > >>>> >> >>> >> >
>>> >> > >>>> >> >>> >> > On Wed, Sep 10, 2014 at 6:04 PM, Aljoscha Krettek <
>>> >> > >>>> >> >>> [email protected]>
>>> >> > >>>> >> >>> >> wrote:
>>> >> > >>>> >> >>> >> >> Thanks, I added it. I'll keep a running list of
>>> >> > >>>> ported/unported
>>> >> > >>>> >> >>> >> >> examples in my mails. I'll rename the java example
>>> >> > package to
>>> >> > >>>> >> >>> examples
>>> >> > >>>> >> >>> >> >> once the Scala API merge is done.
>>> >> > >>>> >> >>> >> >>
>>> >> > >>>> >> >>> >> >> I think the termination criterion is fine as it is.
>>> >> Just
>>> >> > >>>> because
>>> >> > >>>> >> >>> Scala
>>> >> > >>>> >> >>> >> >> enables functional programming doesn't mean it's
>> always
>>> >> > the
>>> >> > >>>> best
>>> >> > >>>> >> >>> >> >> choice. :D
>>> >> > >>>> >> >>> >> >>
>>> >> > >>>> >> >>> >> >> So far we have ported: WordCount, KMeans,
>>> >> > ConnectedComponents,
>>> >> > >>>> >> >>> >> >> WebLogAnalysis, TransitiveClosureNaive
>>> >> > >>>> >> >>> >> >>
>>> >> > >>>> >> >>> >> >> These are the examples people called dibs on:
>>> >> > >>>> >> >>> >> >>  - TriangleEnumration and PageRank (Fabian)
>>> >> > >>>> >> >>> >> >>  - BatchGradientDescent (Márton)
>>> >> > >>>> >> >>> >> >>  - ComputeEdgeDegrees (Hermann)
>>> >> > >>>> >> >>> >> >>
>>> >> > >>>> >> >>> >> >> Those are unclaimed (if I'm not mistaken):
>>> >> > >>>> >> >>> >> >>  - The relational Stuff
>>> >> > >>>> >> >>> >> >>  - LinearRegression
>>> >> > >>>> >> >>> >> >>
>>> >> > >>>> >> >>> >> >> Cheers,
>>> >> > >>>> >> >>> >> >> Aljoscha
>>> >> > >>>> >> >>> >> >>
>>> >> > >>>> >> >>> >> >> On Wed, Sep 10, 2014 at 4:23 PM, Kostas Tzoumas <
>>> >> > >>>> >> [email protected]
>>> >> > >>>> >> >>> >
>>> >> > >>>> >> >>> >> wrote:
>>> >> > >>>> >> >>> >> >>> Transitive closure here, I also added a
>> termination
>>> >> > criterion
>>> >> > >>>> >> in the
>>> >> > >>>> >> >>> >> Java
>>> >> > >>>> >> >>> >> >>> version:
>>> >> > >>>> >> >>> >>
>>> >> > >>>>
>> https://github.com/ktzoumas/incubator-flink/tree/tc-scala-example
>>> >> > >>>> >> >>> >> >>>
>>> >> > >>>> >> >>> >> >>> Perhaps you can make the termination criterion in
>>> >> Scala
>>> >> > more
>>> >> > >>>> >> >>> >> functional?
>>> >> > >>>> >> >>> >> >>>
>>> >> > >>>> >> >>> >> >>> I noticed that the examples package name is
>>> >> > example.java but
>>> >> > >>>> >> >>> >> examples.scala
>>> >> > >>>> >> >>> >> >>>
>>> >> > >>>> >> >>> >> >>> Kostas
>>> >> > >>>> >> >>> >> >>>
>>> >> > >>>> >> >>> >> >>> On Tue, Sep 9, 2014 at 6:12 PM, Kostas Tzoumas <
>>> >> > >>>> >> [email protected]
>>> >> > >>>> >> >>> >
>>> >> > >>>> >> >>> >> wrote:
>>> >> > >>>> >> >>> >> >>>>
>>> >> > >>>> >> >>> >> >>>> I'll take TransitiveClosure and PiEstimation
>> (was not
>>> >> > on
>>> >> > >>>> your
>>> >> > >>>> >> >>> list).
>>> >> > >>>> >> >>> >> >>>>
>>> >> > >>>> >> >>> >> >>>> If nobody volunteers for the relational stuff I
>> can
>>> >> > take
>>> >> > >>>> those
>>> >> > >>>> >> as
>>> >> > >>>> >> >>> >> well.
>>> >> > >>>> >> >>> >> >>>>
>>> >> > >>>> >> >>> >> >>>> How about removing the "RelationalQuery" from
>> both
>>> >> > Scala and
>>> >> > >>>> >> Java?
>>> >> > >>>> >> >>> It
>>> >> > >>>> >> >>> >> >>>> seems to be a proper subset of TPC-H Q3. Does it
>> add
>>> >> > some
>>> >> > >>>> >> teaching
>>> >> > >>>> >> >>> >> value on
>>> >> > >>>> >> >>> >> >>>> top of TPC-H Q3?
>>> >> > >>>> >> >>> >> >>>>
>>> >> > >>>> >> >>> >> >>>> Kostas
>>> >> > >>>> >> >>> >> >>>>
>>> >> > >>>> >> >>> >> >>>> On Tue, Sep 9, 2014 at 5:57 PM, Aljoscha Krettek
>> <
>>> >> > >>>> >> >>> [email protected]
>>> >> > >>>> >> >>> >> >
>>> >> > >>>> >> >>> >> >>>> wrote:
>>> >> > >>>> >> >>> >> >>>>>
>>> >> > >>>> >> >>> >> >>>>> Thanks, I added it, along with an ITCase.
>>> >> > >>>> >> >>> >> >>>>>
>>> >> > >>>> >> >>> >> >>>>> So far we have ported: WordCount, KMeans,
>>> >> > >>>> ConnectedComponents,
>>> >> > >>>> >> >>> >> >>>>> WebLogAnalysis
>>> >> > >>>> >> >>> >> >>>>>
>>> >> > >>>> >> >>> >> >>>>> These are the examples people called dibs on:
>>> >> > >>>> >> >>> >> >>>>>  - TriangleEnumration and PageRank (Fabian)
>>> >> > >>>> >> >>> >> >>>>>  - BatchGradientDescent (Márton)
>>> >> > >>>> >> >>> >> >>>>>  - ComputeEdgeDegrees (Hermann)
>>> >> > >>>> >> >>> >> >>>>>
>>> >> > >>>> >> >>> >> >>>>> Those are unclaimed (if I'm not mistaken):
>>> >> > >>>> >> >>> >> >>>>>  - TransitiveClosure
>>> >> > >>>> >> >>> >> >>>>>  - The relational Stuff
>>> >> > >>>> >> >>> >> >>>>>  - LinearRegression
>>> >> > >>>> >> >>> >> >>>>>
>>> >> > >>>> >> >>> >> >>>>> Cheers,
>>> >> > >>>> >> >>> >> >>>>> Aljoscha
>>> >> > >>>> >> >>> >> >>>>>
>>> >> > >>>> >> >>> >> >>>>> On Tue, Sep 9, 2014 at 5:21 PM, Kostas Tzoumas <
>>> >> > >>>> >> >>> [email protected]>
>>> >> > >>>> >> >>> >> >>>>> wrote:
>>> >> > >>>> >> >>> >> >>>>> > WebLog here:
>>> >> > >>>> >> >>> >> >>>>> >
>>> >> > >>>> >> >>> >> >>>>> >
>>> >> > >>>> >> >>> >>
>>> >> > >>>> >> >>>
>>> >> > >>>> >>
>>> >> > >>>>
>>> >> >
>>> >>
>> https://github.com/ktzoumas/incubator-flink/tree/webloganalysis-example-scala
>>> >> > >>>> >> >>> >> >>>>> >
>>> >> > >>>> >> >>> >> >>>>> > Do you need any more done?
>>> >> > >>>> >> >>> >> >>>>> >
>>> >> > >>>> >> >>> >> >>>>> > On Tue, Sep 9, 2014 at 3:08 PM, Aljoscha
>> Krettek <
>>> >> > >>>> >> >>> >> [email protected]>
>>> >> > >>>> >> >>> >> >>>>> > wrote:
>>> >> > >>>> >> >>> >> >>>>> >
>>> >> > >>>> >> >>> >> >>>>> >> I added the ConnectedComponents Example from
>>> >> Vasia.
>>> >> > >>>> >> >>> >> >>>>> >>
>>> >> > >>>> >> >>> >> >>>>> >> Keep 'em coming, people. :D
>>> >> > >>>> >> >>> >> >>>>> >>
>>> >> > >>>> >> >>> >> >>>>> >> On Mon, Sep 8, 2014 at 6:07 PM, Fabian
>> Hueske <
>>> >> > >>>> >> >>> [email protected]
>>> >> > >>>> >> >>> >> >
>>> >> > >>>> >> >>> >> >>>>> >> wrote:
>>> >> > >>>> >> >>> >> >>>>> >> > Alright, will do.
>>> >> > >>>> >> >>> >> >>>>> >> > Thanks!
>>> >> > >>>> >> >>> >> >>>>> >> >
>>> >> > >>>> >> >>> >> >>>>> >> > 2014-09-08 17:48 GMT+02:00 Aljoscha
>> Krettek <
>>> >> > >>>> >> >>> >> [email protected]>:
>>> >> > >>>> >> >>> >> >>>>> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> Ok people, executive decision. :D
>>> >> > >>>> >> >>> >> >>>>> >> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> Please look at KMeansData.java and
>>> >> > KMeans.scala. I'm
>>> >> > >>>> >> storing
>>> >> > >>>> >> >>> >> the
>>> >> > >>>> >> >>> >> >>>>> >> >> data
>>> >> > >>>> >> >>> >> >>>>> >> >> in multi-dimensional object arrays and
>> then
>>> >> > >>>> converting
>>> >> > >>>> >> it to
>>> >> > >>>> >> >>> >> the
>>> >> > >>>> >> >>> >> >>>>> >> >> required Java or Scala objects.
>>> >> > >>>> >> >>> >> >>>>> >> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> Also, I changed isEqualTo to equalTo to
>> make
>>> >> it
>>> >> > >>>> >> consistent
>>> >> > >>>> >> >>> >> with the
>>> >> > >>>> >> >>> >> >>>>> >> >> Java
>>> >> > >>>> >> >>> >> >>>>> >> >> API.
>>> >> > >>>> >> >>> >> >>>>> >> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> Regarding Join (and coGroup). There is no
>> need
>>> >> > for a
>>> >> > >>>> >> >>> keyword,
>>> >> > >>>> >> >>> >> you
>>> >> > >>>> >> >>> >> >>>>> >> >> can
>>> >> > >>>> >> >>> >> >>>>> >> >> just write:
>>> >> > >>>> >> >>> >> >>>>> >> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> left.join(right).where(0).equalTo(1) {
>> (le,
>>> >> re)
>>> >> > =>
>>> >> > >>>> new
>>> >> > >>>> >> >>> >> MyResult(le,
>>> >> > >>>> >> >>> >> >>>>> >> >> re)
>>> >> > >>>> >> >>> >> >>>>> >> }
>>> >> > >>>> >> >>> >> >>>>> >> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> On Mon, Sep 8, 2014 at 2:07 PM, Fabian
>> Hueske
>>> >> <
>>> >> > >>>> >> >>> >> [email protected]>
>>> >> > >>>> >> >>> >> >>>>> >> wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> > Aside from the DataSet issue, I also
>> found
>>> >> an
>>> >> > >>>> >> >>> inconsistency
>>> >> > >>>> >> >>> >> with
>>> >> > >>>> >> >>> >> >>>>> >> >> > the
>>> >> > >>>> >> >>> >> >>>>> >> Java
>>> >> > >>>> >> >>> >> >>>>> >> >> > API. In Java join is done as:
>>> >> > >>>> >> >>> >> >>>>> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> > ds1.join(ds2).where(...).equalTo(...)
>>> >> > >>>> >> >>> >> >>>>> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> > where in the current Scala this is:
>>> >> > >>>> >> >>> >> >>>>> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> > ds1.join(d2).where(...).isEqualTo(...)
>>> >> > >>>> >> >>> >> >>>>> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> > isEqualTo() should be renamed to
>> equalTo(),
>>> >> > IMO.
>>> >> > >>>> >> >>> >> >>>>> >> >> > Also, join (+cross and coGroup?) lacks
>> the
>>> >> > with()
>>> >> > >>>> >> method
>>> >> > >>>> >> >>> >> because
>>> >> > >>>> >> >>> >> >>>>> >> "with"
>>> >> > >>>> >> >>> >> >>>>> >> >> is
>>> >> > >>>> >> >>> >> >>>>> >> >> > a keyword in Scala. Should be offer
>>> >> something
>>> >> > >>>> similar
>>> >> > >>>> >> for
>>> >> > >>>> >> >>> >> Scala
>>> >> > >>>> >> >>> >> >>>>> >> >> > or go
>>> >> > >>>> >> >>> >> >>>>> >> >> with
>>> >> > >>>> >> >>> >> >>>>> >> >> > map() on Tuple2(left, right)?
>>> >> > >>>> >> >>> >> >>>>> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> > 2014-09-08 13:51 GMT+02:00 Stephan Ewen
>> <
>>> >> > >>>> >> [email protected]
>>> >> > >>>> >> >>> >:
>>> >> > >>>> >> >>> >> >>>>> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> Instead of Strings, Object[][] would
>> work
>>> >> as
>>> >> > well.
>>> >> > >>>> >> That
>>> >> > >>>> >> >>> is a
>>> >> > >>>> >> >>> >> >>>>> >> >> >> generic
>>> >> > >>>> >> >>> >> >>>>> >> >> >> representation of a Tuple.
>>> >> > >>>> >> >>> >> >>>>> >> >> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> Alternatively, they could be stored as
>> Java
>>> >> > or
>>> >> > >>>> Scala
>>> >> > >>>> >> >>> Tuples,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> with a
>>> >> > >>>> >> >>> >> >>>>> >> >> generic
>>> >> > >>>> >> >>> >> >>>>> >> >> >> utility method to convert between the
>> two.
>>> >> > >>>> >> >>> >> >>>>> >> >> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> On Mon, Sep 8, 2014 at 10:55 AM, Fabian
>>> >> > Hueske
>>> >> > >>>> >> >>> >> >>>>> >> >> >> <[email protected]>
>>> >> > >>>> >> >>> >> >>>>> >> >> wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > Yeah, I ran into the same problem...
>>> >> > >>>> >> >>> >> >>>>> >> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > +1 for using Strings and parsing
>> them,
>>> >> but
>>> >> > >>>> using
>>> >> > >>>> >> the
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > CSVFormat
>>> >> > >>>> >> >>> >> >>>>> >> won't
>>> >> > >>>> >> >>> >> >>>>> >> >> >> work
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > because this is based on a
>>> >> FileInputFormat.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > So we would need to parse the Strings
>>> >> > >>>> manually...
>>> >> > >>>> >> >>> >> >>>>> >> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > 2014-09-08 10:35 GMT+02:00 Aljoscha
>>> >> Krettek
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > <[email protected]>:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > Hi,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > on second thought. Maybe we should
>> just
>>> >> > change
>>> >> > >>>> >> all
>>> >> > >>>> >> >>> the
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > example
>>> >> > >>>> >> >>> >> >>>>> >> input
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > data to strings and use CSV input
>>> >> > formats in
>>> >> > >>>> all
>>> >> > >>>> >> the
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > examples.
>>> >> > >>>> >> >>> >> >>>>> >> What
>>> >> > >>>> >> >>> >> >>>>> >> >> do
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > you think?
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > Cheers,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > Aljoscha
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > On Mon, Sep 8, 2014 at 7:46 AM,
>>> >> Aljoscha
>>> >> > >>>> Krettek
>>> >> > >>>> >> <
>>> >> > >>>> >> >>> >> >>>>> >> >> [email protected]>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > Hi,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > yes it's unfortunate that the
>> data
>>> >> > types are
>>> >> > >>>> >> >>> >> incompatible.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > I'm
>>> >> > >>>> >> >>> >> >>>>> >> >> afraid
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > you have to to what you proposed:
>>> >> move
>>> >> > the
>>> >> > >>>> >> data to
>>> >> > >>>> >> >>> a
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > static
>>> >> > >>>> >> >>> >> >>>>> >> field
>>> >> > >>>> >> >>> >> >>>>> >> >> and
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > convert it in the
>>> >> > getDefaultEdgeDataSet()
>>> >> > >>>> >> method in
>>> >> > >>>> >> >>> >> Scala.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > It's
>>> >> > >>>> >> >>> >> >>>>> >> >> not
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > nice, but copying would
>> duplicate the
>>> >> > data
>>> >> > >>>> and
>>> >> > >>>> >> >>> make it
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > easier
>>> >> > >>>> >> >>> >> >>>>> >> for
>>> >> > >>>> >> >>> >> >>>>> >> >> it
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > to go out of sync in the Java and
>>> >> Scala
>>> >> > >>>> >> versions.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > What do the others think? This
>> will
>>> >> > probably
>>> >> > >>>> >> occur
>>> >> > >>>> >> >>> in
>>> >> > >>>> >> >>> >> all
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > the
>>> >> > >>>> >> >>> >> >>>>> >> >> >> examples.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > Cheers,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > Aljoscha
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > On Sun, Sep 7, 2014 at 10:04 PM,
>>> >> > Vasiliki
>>> >> > >>>> >> Kalavri
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > > <[email protected]>
>> wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> Hey,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> I have ported the Connected
>>> >> Components
>>> >> > >>>> >> example,
>>> >> > >>>> >> >>> but
>>> >> > >>>> >> >>> >> I am
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> not
>>> >> > >>>> >> >>> >> >>>>> >> sure
>>> >> > >>>> >> >>> >> >>>>> >> >> >> how
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > to
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> reuse the example input data
>> from
>>> >> > >>>> >> java-examples.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> In the ConnectedComponentsData
>>> >> class,
>>> >> > the
>>> >> > >>>> >> vertices
>>> >> > >>>> >> >>> >> and
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> edges
>>> >> > >>>> >> >>> >> >>>>> >> data
>>> >> > >>>> >> >>> >> >>>>> >> >> >> are
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> produced by the methods
>>> >> > >>>> >> getDefaultVertexDataSet()
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> and getDefaultEdgeDataSet(),
>> which
>>> >> > take
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> an
>>> >> > >>>> >> org.apache.flink.api.java.ExecutionEnvironment
>>> >> > >>>> >> >>> as
>>> >> > >>>> >> >>> >> >>>>> >> parameter.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> One way is to provide public
>> static
>>> >> > fields
>>> >> > >>>> >> (like
>>> >> > >>>> >> >>> in
>>> >> > >>>> >> >>> >> the
>>> >> > >>>> >> >>> >> >>>>> >> >> >> WordCountData
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> class), but this introduces a
>>> >> > conversion
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> from
>>> >> > >>>> org.apache.flink.api.java.tuple.Tuple2 to
>>> >> > >>>> >> >>> Scala
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> tuple and
>>> >> > >>>> >> >>> >> >>>>> >> >> from
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> java.lang.Long to scala.Long
>> and I
>>> >> > guess
>>> >> > >>>> this
>>> >> > >>>> >> is
>>> >> > >>>> >> >>> an
>>> >> > >>>> >> >>> >> >>>>> >> unnecessary
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > complexity
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> for an example (?).
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> Another way is, of course, to
>> copy
>>> >> the
>>> >> > >>>> example
>>> >> > >>>> >> >>> data
>>> >> > >>>> >> >>> >> in
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> the
>>> >> > >>>> >> >>> >> >>>>> >> Scala
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > example.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> Am I missing something here?
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> Thanks!
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> Cheers,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> V.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >> On 5 September 2014 15:52,
>> Aljoscha
>>> >> > >>>> Krettek <
>>> >> > >>>> >> >>> >> >>>>> >> [email protected]
>>> >> > >>>> >> >>> >> >>>>> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> Alright, I updated my repo:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>>
>>> >> > >>>> >> >>> >> >>>>> >> >>
>>> >> > >>>> >> >>> >>
>>> >> > https://github.com/aljoscha/incubator-flink/commits/scala-rework
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> This now has a working
>> WordCount
>>> >> > example.
>>> >> > >>>> >> It's
>>> >> > >>>> >> >>> >> pretty
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> much a
>>> >> > >>>> >> >>> >> >>>>> >> >> copy
>>> >> > >>>> >> >>> >> >>>>> >> >> >> of
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> the Java example with some
>> fixups
>>> >> > for the
>>> >> > >>>> >> syntax
>>> >> > >>>> >> >>> and
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> lambda
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > functions.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> You'll also notice that I
>> added the
>>> >> > >>>> >> java-examples
>>> >> > >>>> >> >>> >> as a
>>> >> > >>>> >> >>> >> >>>>> >> >> dependency
>>> >> > >>>> >> >>> >> >>>>> >> >> >> for
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> the scala-examples. I did this
>> to
>>> >> > reuse
>>> >> > >>>> the
>>> >> > >>>> >> >>> example
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> input
>>> >> > >>>> >> >>> >> >>>>> >> data.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> When you ported a program you
>> can
>>> >> do
>>> >> > a
>>> >> > >>>> pull
>>> >> > >>>> >> >>> request
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> against
>>> >> > >>>> >> >>> >> >>>>> >> my
>>> >> > >>>> >> >>> >> >>>>> >> >> repo
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> and I will collect the
>> examples.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> Happy coding. :D
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> On Fri, Sep 5, 2014 at 12:19
>> PM,
>>> >> > Hermann
>>> >> > >>>> >> Gábor <
>>> >> > >>>> >> >>> >> >>>>> >> >> >> [email protected]
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> > +1
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> > ComputeEdgeDegrees for me!
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> > On Fri, Sep 5, 2014 at 11:44
>> AM,
>>> >> > Márton
>>> >> > >>>> >> >>> Balassi <
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> [email protected]>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> > wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> +1
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> BatchGradientDescent for me
>> :)
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> On Fri, Sep 5, 2014 at
>> 11:15 AM,
>>> >> > Kostas
>>> >> > >>>> >> >>> Tzoumas <
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > [email protected]>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > +1
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > I go for WebLogAnalysis.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > My experience with Scala
>>> >> > consists of
>>> >> > >>>> >> going
>>> >> > >>>> >> >>> >> through
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > a
>>> >> > >>>> >> >>> >> >>>>> >> >> tutorial
>>> >> > >>>> >> >>> >> >>>>> >> >> >> so
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > this
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> will
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > be a good stress test
>> both for
>>> >> > me and
>>> >> > >>>> >> the
>>> >> > >>>> >> >>> new
>>> >> > >>>> >> >>> >> API
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > :-)
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > On Thu, Sep 4, 2014 at
>> 9:09
>>> >> PM,
>>> >> > >>>> Vasiliki
>>> >> > >>>> >> >>> >> Kalavri <
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > [email protected]>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > +1 for having other
>> people
>>> >> > >>>> implement
>>> >> > >>>> >> the
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > examples!
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > Connected Components and
>>> >> > Kmeans for
>>> >> > >>>> >> me :)
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > -V.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > On 4 September 2014
>> 21:03,
>>> >> > Fabian
>>> >> > >>>> >> Hueske <
>>> >> > >>>> >> >>> >> >>>>> >> >> >> [email protected]>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > I go for
>>> >> > TriangleEnumeration and
>>> >> > >>>> >> >>> PageRank.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > Let's also do the
>> examples
>>> >> > >>>> similar
>>> >> > >>>> >> to
>>> >> > >>>> >> >>> the
>>> >> > >>>> >> >>> >> Java
>>> >> > >>>> >> >>> >> >>>>> >> >> examples:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > - running
>> out-of-the-box
>>> >> > without
>>> >> > >>>> >> >>> parameters
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > - parameters for
>> external
>>> >> > data
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > - follow a similar
>> code
>>> >> > structure
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > 2014-09-04 20:56
>> GMT+02:00
>>> >> > >>>> Aljoscha
>>> >> > >>>> >> >>> >> Krettek <
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > [email protected]
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > Will do, then
>> people can
>>> >> > >>>> reserve
>>> >> > >>>> >> their
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > favourite
>>> >> > >>>> >> >>> >> >>>>> >> >> >> examples
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > here.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > On Thu, Sep 4, 2014
>> at
>>> >> > 8:55 PM,
>>> >> > >>>> >> Fabian
>>> >> > >>>> >> >>> >> Hueske
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > <
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> [email protected]>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > wrote:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > Hi,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > I think having
>>> >> examples
>>> >> > >>>> >> implemented
>>> >> > >>>> >> >>> by
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > different
>>> >> > >>>> >> >>> >> >>>>> >> >> >> people
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> proved to
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > be
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > valuable in the
>> past.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > I'd help with two
>> or
>>> >> > three
>>> >> > >>>> >> examples.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > It might be
>> helpful if
>>> >> > you'd
>>> >> > >>>> >> port a
>>> >> > >>>> >> >>> >> simple
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > first
>>> >> > >>>> >> >>> >> >>>>> >> >> one
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > such
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > as
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > WordCount.
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > Fabian
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > 2014-09-04 18:47
>>> >> > GMT+02:00
>>> >> > >>>> >> Aljoscha
>>> >> > >>>> >> >>> >> Krettek
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > > <
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> [email protected]
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> >:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> Hi,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> I have a working
>>> >> > rewrite of
>>> >> > >>>> the
>>> >> > >>>> >> >>> Scala
>>> >> > >>>> >> >>> >> API
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> here:
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >>
>>> >> > >>>> >> >>> >>
>>> >> > https://github.com/aljoscha/incubator-flink/commits/scala-rework
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> I'm hoping that
>> I'll
>>> >> > only
>>> >> > >>>> have
>>> >> > >>>> >> to
>>> >> > >>>> >> >>> >> write
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> the
>>> >> > >>>> >> >>> >> >>>>> >> tests
>>> >> > >>>> >> >>> >> >>>>> >> >> and
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > port
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> the
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> examples. Do you
>>> >> think
>>> >> > it
>>> >> > >>>> makes
>>> >> > >>>> >> >>> sense
>>> >> > >>>> >> >>> >> to
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> let
>>> >> > >>>> >> >>> >> >>>>> >> other
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > people
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> port
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> the
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> examples, so that
>>> >> > someone
>>> >> > >>>> else
>>> >> > >>>> >> uses
>>> >> > >>>> >> >>> >> it and
>>> >> > >>>> >> >>> >> >>>>> >> maybe
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > notices
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > some
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > quirks
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> in the API?
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> Cheers,
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >> Aljoscha
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > > >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>> >>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > > >>>
>>> >> > >>>> >> >>> >> >>>>> >> >> >> > >
>>> >> > >>>> >> >>> >> >>>>> >> >> >> >
>>> >> > >>>> >> >>> >> >>>>> >> >> >>
>>> >> > >>>> >> >>> >> >>>>> >> >>
>>> >> > >>>> >> >>> >> >>>>> >>
>>> >> > >>>> >> >>> >> >>>>
>>> >> > >>>> >> >>> >> >>>>
>>> >> > >>>> >> >>> >> >>>
>>> >> > >>>> >> >>> >>
>>> >> > >>>> >> >>>
>>> >> > >>>> >>
>>> >> > >>>>
>>> >> >
>>> >>

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