Re: Cartesian product over windows

2017-02-23 Thread Robert Metzger
I think Till is referring to regular windows. The *All variants combine the data into one task. On Fri, Feb 17, 2017 at 4:14 PM, Sonex wrote: > Hi Till, > > when you say parallel windows, what do you mean? Do you mean the use of > timeWindowAll which has all the elements of a window in a single

Re: Cartesian product over windows

2017-02-17 Thread Sonex
Hi Till, when you say parallel windows, what do you mean? Do you mean the use of timeWindowAll which has all the elements of a window in a single task? -- View this message in context: http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Cartesian-product-over-windows-tp11676p11

Re: Cartesian product over windows

2017-02-17 Thread Till Rohrmann
Hi Ioannis, with a flatMap operation which replicates elements and assigning them a proper key followed by a keyBy operation you can practically generate all different kinds of partitionings. So if you first collect the data in parallel windows, you can then replicate half of the data of each win