thanks for quick answer.
I wouldn't dare to delete files in InputFormat if they were splitted and
processed in parallel...
As for using notifyCheckpointComplete - thanks for suggestion, it looks
pretty interesting, I'll try to try it out. Although I wonder a bit if
relying only on modification timestamp is enough - many things may
happen in one ms :)
On 18/10/2016 11:14, Kostas Kloudas wrote:
Just a follow-up on the previous email, given that splits are read in parallel,
ContinuousFileMonitoringFunction forwards the last split, it does not mean that
final splits is going to be processed last. If the node it gets assigned is
then it may be processed faster than others.
This assumption only holds if you have a parallelism of 1.
On Oct 18, 2016, at 11:05 AM, Kostas Kloudas <k.klou...@data-artisans.com>
Currently this functionality is not supported but this seems like a good
Actually, give that the feature is rather new, we were thinking of opening a
in the dev mailing list in order to
i) discuss some current limitations of the Continuous File Processing source
ii) see how people use it and adjust our features accordingly
I will let you know as soon as I open this thread.
By the way for your use-case, we should probably have a callback in the
that will inform the source that a given checkpoint was successfully performed
we can purge the already processed files. This can be a good solution.
On Oct 18, 2016, at 9:40 AM, Maciek Próchniak <m...@touk.pl> wrote:
we want to monitor hdfs (or local) directory, read csv files that appear and
after successful processing - delete them (mainly not to run out of disk
I'm not quite sure how to achieve it with current implementation. Previously,
when we read binary data (unsplittable files) we made small hack and deleted
in our FileInputFormat - but now we want to use splits and detecting which
split is 'the last one' is no longer so obvious - of course it's also
problematic when it comes to checkpointing...
So my question is - is there a idiomatic way of deleting processed files?