Yes, for sorted groups, you need to use Pojos or Tuples. I think you have to split the input lines manually, with a mapper. How about using a TupleN<...> with only the fields you need? (returned by the mapper)
if you need all fields, you could also use a Tuple2<String, String[]> where the first position is the sort key? On Tue, Oct 21, 2014 at 2:20 PM, Gyula Fora <gyf...@apache.org> wrote: > I am not sure how you should go about that, let’s wait for some feedback > from the others. > > Until then you can always map the array to (array, keyfield) and use > groupBy(1). > > > > On 21 Oct 2014, at 14:17, Martin Neumann <mneum...@spotify.com> wrote: > > > > Hej, > > > > Unfortunately .sort() cannot take a key extractor, would I have to do the > > sort myself then? > > > > cheers Martin > > > > On Tue, Oct 21, 2014 at 2:08 PM, Gyula Fora <gyf...@apache.org> wrote: > > > >> Hey, > >> > >> Using arrays is probably a convenient way to do so. > >> > >> I think the way you described the groupBy only works for tuples now. To > do > >> the grouping on the array field, you would need to create a key > extractor > >> for this and pass that to groupBy. > >> > >> Actually we have some use-cases like this for streaming so we are > thinking > >> of writing a wrapper for the array types that would behave as you > described. > >> > >> Regards, > >> Gyula > >> > >>> On 21 Oct 2014, at 14:03, Martin Neumann <mneum...@spotify.com> wrote: > >>> > >>> Hej, > >>> > >>> I have a csv file with 54 columns each of them is string (for now). I > >> need > >>> to group and sort them on field 15. > >>> > >>> Whats the best way to load the data into Flink? > >>> There is no Tuple54 (and the <> would look awful anyway with 54 times > >>> String in it). > >>> My current Idea is to write a Mapper and split the string to Arrays of > >>> Strings would grouping and sorting work on this? > >>> > >>> So can I do something like this or does that only work on tuples: > >>> Dataset<String[]> ds; > >>> ds.groupBy(15).sort(20. ANY) > >>> > >>> cheers Martin > >> > >> > >
