Re: dataset sort

The reason why this isn't working in Flink are that * a file can only be written by a single process * Flink does not support merging of sorted network partitions but reads round-robin from incoming network channels. I think if you sort the historic data in parallel (without range partitioning,

Re: dataset sort

Thanks. I have to stream in the historical data and its out-of-boundedness >> real-time data. I thought there was some elegant way using mapPartition that I wasn't seeing. On Fri, Feb 9, 2018 at 5:10 AM, Fabian Hueske wrote: > You can also partition by range and sort and

Re: dataset sort

You can also partition by range and sort and write each partition. Once all partitions have been written to files, you can concatenate the files. As Till said it is not possible to sort in parallel and write in order to a single file. Best, Fabian 2018-02-09 10:35 GMT+01:00 Till Rohrmann

Re: dataset sort

Hi David, Flink only supports sorting within partitions. Thus, if you want to write out a globally sorted dataset you should set the parallelism to 1 which effectively results in a single partition. Decreasing the parallelism of an operator will cause the individual partitions to lose its sort

dataset sort

Hi: I would like to sort historical data using the dataset api. env.setParallelism(10) val dataset = [(Long, String)] .. .paritionByRange(_._1) .sortPartition(_._1, Order.ASCEDING) .writeAsCsv("mydata.csv").setParallelism(1) the data is out of order (in local order) but .print() prints the