Re: Accessing elements from DataStream
Yes. Here: https://ci.apache.org/projects/flink/flink-docs-master/apis/streaming/index.html#example-program On Thu, May 5, 2016 at 1:16 PM, Piyush Shrivastavawrote: > Hi Robert, > > Can you share an example where flatmap is used to access elements? > > Thanks and Regards, > Piyush Shrivastava > [image: WeboGraffiti] > http://webograffiti.com > > > On Thursday, 5 May 2016 4:45 PM, Robert Metzger > wrote: > > > Hi, > > you can just use a flatMap() on a DataStream to access individual elements > from a stream. > > On Thu, May 5, 2016 at 1:00 PM, Piyush Shrivastava > wrote: > > Hi all, > > Can we access individual elements from a DataStream through an iterator > like we can in a WindowedStream with the apply function? > > I am able to access the elements of a WindowedStream using the apply > function and using the Iterable and Collector interfaces: > > val ds = ws.apply((K, W, input: Iterable[T], output: Collector[R]) => { >val it = input.toIterator >while(it.hasNext){ > ... >} > }) > > the output of this function is a DataStream. I want to perform a keyBy on > this DataStream and then again iterate through it's individual elements. We > cannot use the apply function on DataStreams like in WindowedStreams. Is > there any other way? > > Thanks and Regards, > Piyush Shrivastava > [image: WeboGraffiti] > http://webograffiti.com > > > > >
Re: Accessing elements from DataStream
Hi Robert, Can you share an example where flatmap is used to access elements? Thanks and Regards,Piyush Shrivastava http://webograffiti.com On Thursday, 5 May 2016 4:45 PM, Robert Metzgerwrote: Hi, you can just use a flatMap() on a DataStream to access individual elements from a stream. On Thu, May 5, 2016 at 1:00 PM, Piyush Shrivastava wrote: Hi all, Can we access individual elements from a DataStream through an iterator like we can in a WindowedStream with the apply function? I am able to access the elements of a WindowedStream using the apply function and using the Iterable and Collector interfaces: val ds = ws.apply((K, W, input: Iterable[T], output: Collector[R]) => { val it = input.toIterator while(it.hasNext){ ... }}) the output of this function is a DataStream. I want to perform a keyBy on this DataStream and then again iterate through it's individual elements. We cannot use the apply function on DataStreams like in WindowedStreams. Is there any other way? Thanks and Regards,Piyush Shrivastava http://webograffiti.com
Re: Accessing elements from DataStream
Hi, you can just use a flatMap() on a DataStream to access individual elements from a stream. On Thu, May 5, 2016 at 1:00 PM, Piyush Shrivastavawrote: > Hi all, > > Can we access individual elements from a DataStream through an iterator > like we can in a WindowedStream with the apply function? > > I am able to access the elements of a WindowedStream using the apply > function and using the Iterable and Collector interfaces: > > val ds = ws.apply((K, W, input: Iterable[T], output: Collector[R]) => { >val it = input.toIterator >while(it.hasNext){ > ... >} > }) > > the output of this function is a DataStream. I want to perform a keyBy on > this DataStream and then again iterate through it's individual elements. We > cannot use the apply function on DataStreams like in WindowedStreams. Is > there any other way? > > Thanks and Regards, > Piyush Shrivastava > [image: WeboGraffiti] > http://webograffiti.com >
Accessing elements from DataStream
Hi all, Can we access individual elements from a DataStream through an iterator like we can in a WindowedStream with the apply function? I am able to access the elements of a WindowedStream using the apply function and using the Iterable and Collector interfaces: val ds = ws.apply((K, W, input: Iterable[T], output: Collector[R]) => { val it = input.toIterator while(it.hasNext){ ... }}) the output of this function is a DataStream. I want to perform a keyBy on this DataStream and then again iterate through it's individual elements. We cannot use the apply function on DataStreams like in WindowedStreams. Is there any other way? Thanks and Regards,Piyush Shrivastava http://webograffiti.com