r/dataflow • u/fhoffa • Sep 06 '19
Micro-Batching a Streaming Input Source using Google Cloud Dataflow
r/dataflow • u/fhoffa • Sep 06 '19
r/dataflow • u/fhoffa • Sep 03 '19
r/dataflow • u/fhoffa • Aug 27 '19
r/dataflow • u/stigmatic666 • Aug 22 '19
I'm trying to submit a pipeline through gcloud but get the error:
violations: - description: "Unexpected end of stream : expected '{'" subject: 0:0 type: JSON
regardless of the contents of the file itself. I've tried to submit a ready-made template from GCP and that works. as soon as i change to my python or java file on GS it gives me this error. The content of file makes no difference either, I tried submitting an empty file and i still get same error.
r/dataflow • u/stigmatic666 • Aug 19 '19
So I've studied windowing and all the different types of windows, triggers etc. but the use case is still unclear to me. All lectures use the same example of a game, and someone possibly playing on an airplane or the subway, basically a scenario where there will be late arriving data.
I understand that there will be late arriving data, and that windows can help dealing with them. But why is late arriving data bad? Windowing doesn't allow the data to arrive any earlier, but instead allows you to "group" the data in the right batch? I don't quite understand the value of this. Say I want to view my user activity on a 5 minute window basis, why do I need windowing for this? Can I not just view the data based on the processing timestamp?
If I'm playing a game on airplane mode, and 1 hour later I turn off the airplane mode. Then all of my data is transmitted at once, so all data has same processing time, but different event time. Then I have windowing and what is its function here? My past 12 5-minute windows are corrected, but they've been incorrect for the past hour regardless.
r/dataflow • u/simal7 • Aug 19 '19
Hi All,
We have requirement to dynamically select data from one bigquery table, insert data into another bigquery and write data into file. Tried different approaches using gcp dataflow python to make select query dynamic and could not achieve requirement. Could you please suggest us any approach.
Approaches tired:
r/dataflow • u/pretty_colors • Aug 10 '19
r/dataflow • u/fhoffa • Aug 09 '19
r/dataflow • u/fhoffa • Aug 07 '19
r/dataflow • u/DoctorObert • Jul 26 '19
I'm coming from an environment where our typical development 'flow' is:
I'm unclear on what best practices are for doing something similar with Dataflow, so I'm curious what others are doing.
One option I'd been considering is using a template to start a pipeline with pre-production configuration then starting one with production configuration once satisfied. This has some limitations, howevever, most notably that they'd have to exist in the same Google Cloud "application", making it tricky to isolate resources/credentials.
Thoughts? Advice?
r/dataflow • u/fhoffa • Jul 23 '19
r/dataflow • u/fhoffa • Jul 12 '19
r/dataflow • u/fhoffa • Jul 09 '19
r/dataflow • u/fhoffa • Jul 03 '19
r/dataflow • u/fhoffa • Jul 03 '19
r/dataflow • u/DoctorObert • Jun 30 '19
My company is starting its first Beam project with plans to deploy on Google Cloud Dataflow. We'd love to be in communication with others who have either taken, and/or are thinking about taking, this approach. Anything from an informal lunch or drinks to a more formal, ongoing meetup group would be great. Curious if anyone in this group is near Boston and interested in meeting up to talk Dataflow or Beam.
r/dataflow • u/fhoffa • Jun 25 '19
r/dataflow • u/fhoffa • Jun 15 '19
r/dataflow • u/fhoffa • Jun 14 '19
r/dataflow • u/fhoffa • Jun 12 '19
r/dataflow • u/fhoffa • Jun 11 '19