I'm looking at
and I can see it has 6 executors running. It seems that 5 of the 6 jobs are requiring a
lot of resources because a simple execution of pyflakes and
pep8 is taking more than 10 minutes while usually took less than 1 minute.
I may be wrong but I think that in this case having more executors for running parallel
jobs will increase the total time needed for running them.
I suggest to reduce the number of executors or (if possible) to add something like a flag
to single jobs for telling if they'll require a lot of
resources in order to let the scheduler to decide how many executors allocate.
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