Forum Discussion
In my pipeline I’m performing some analysis on those first N records and writing the analysis results to a file. The input file is very large and the output file containing the analysis results doesn’t appear to be closed until the pipeline completes (when the file reader finishes reading the file). The amount of time between the analysis of the first N records being complete and the file reader finishing reading the file is significant; at least significant enough that our user has complained about it.
Continuing the discussion from Reading first N records from a file?:
Ok, thanks for the explanation. That makes sense. Your issue isn’t really with the fact that snaps upstream (the File Reader + CSV Parser, or whatever) keep running. It’s with the fact that the snaps downstream (a Formatter + File Writer, perhaps) do – they don’t complete (write the file) as soon as the Head snap has written the only document it will write.
So, yes, there’s actually a simple fix we can make to the Head snap to do just that: close the output view as soon as the desired number of documents are written. This will cause the downstream snaps to finish writing their output. I just tried it and it works as expected. I think we should be able to get this fix into our forthcoming release planned for Nov 14.
- PSAmmirata5 years agoEmployee
@ptaylor - Once this change is implemented, is the Exit snap the best way to programmatically stop the pipeline once the Head’s output view is closed?
Why do you need the pipeline to stop if the output file containing the analysis results has been written and closed?
But, yes, I suppose you could add an Exit snap after the File Writer if you do want the pipeline to exit. But even if you don’t, the File Writer will have completed and written the file that your user needs, even while the Head continues to consume its input and the pipeline continues to run.
- PSAmmirata5 years agoEmployee
If we no longer need the pipeline running, I don’t want to use Snaplex node resources unnecessarily. Also, users question why is the pipeline still running once it produced the desired file.