Reserved CPU Time in Google Dataflow -


i have question regarding reserved cpu time field in google dataflow. don't understand why varies depending on configuration of run. suspect not interpreting reserved cpu time is. understanding, cpu time needed complete job submitted, based on following evidence, seems may mistaken. time allocated job, regardless of whether using resources? if that's case, how actual cpu time of job?

first ran job variable sized pool of workers (max 24 workers). long run config

the corresponding stats follows:

long run stats

then, ran script using fixed number of workers (10):

short run config

and stats changes to:

short run stats

they went 15 days 7 hours? how possible?!

thanks!

if hover on "?" next "reserved cpu time" pop-up message show , read: "the total time dataflow active on gce instances, on per-cpu basis." indicates not cpu-time used vms. @ time dataflow not aggregate per-machine cpu usage stats; may, however, able use cloud monitoring api extract metrics yourself.


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