blob: bbf851b06c5c01a5a3b354758c5dfecba8156326 [file] [log] [blame]
class ResourceType():
CACHE = 0
DOWNLOAD = 1
PROCESS = 2
UPLOAD = 3
class Resources():
def __init__(self, num_builders, num_fetchers, num_pushers):
self._max_resources = {
ResourceType.CACHE: 1,
ResourceType.DOWNLOAD: num_fetchers,
ResourceType.PROCESS: num_builders,
ResourceType.UPLOAD: num_pushers
}
# Resources jobs are currently using.
self._used_resources = {
ResourceType.CACHE: 0,
ResourceType.DOWNLOAD: 0,
ResourceType.PROCESS: 0,
ResourceType.UPLOAD: 0
}
# Resources jobs currently want exclusive access to. The set
# of jobs that have asked for exclusive access is the value -
# this is so that we can avoid scheduling any other jobs until
# *all* exclusive jobs that "register interest" have finished
# - which avoids starving them of scheduling time.
self._exclusive_resources = {
ResourceType.CACHE: set(),
ResourceType.DOWNLOAD: set(),
ResourceType.PROCESS: set(),
ResourceType.UPLOAD: set()
}
def clear_job_resources(self, job):
for resource in job.exclusive_resources:
self._exclusive_resources[resource].remove(hash(job))
for resource in job.resources:
self._used_resources[resource] -= 1
def reserve_exclusive_resources(self, job):
exclusive = job.exclusive_resources
# The very first thing we do is to register any exclusive
# resources this job may want. Even if the job is not yet
# allowed to run (because another job is holding the resource
# it wants), we can still set this - it just means that any
# job *currently* using these resources has to finish first,
# and no new jobs wanting these can be launched (except other
# exclusive-access jobs).
#
for resource in exclusive:
self._exclusive_resources[resource].add(hash(job))
def reserve_job_resources(self, job):
# First, we check if the job wants to access a resource that
# another job wants exclusive access to. If so, it cannot be
# scheduled.
#
# Note that if *both* jobs want this exclusively, we don't
# fail yet.
#
# FIXME: I *think* we can deadlock if two jobs want disjoint
# sets of exclusive and non-exclusive resources. This
# is currently not possible, but may be worth thinking
# about.
#
for resource in job.resources - job.exclusive_resources:
# If our job wants this resource exclusively, we never
# check this, so we can get away with not (temporarily)
# removing it from the set.
if self._exclusive_resources[resource]:
return False
# Now we check if anything is currently using any resources
# this job wants exclusively. If so, the job cannot be
# scheduled.
#
# Since jobs that use a resource exclusively are also using
# it, this means only one exclusive job can ever be scheduled
# at a time, despite being allowed to be part of the exclusive
# set.
#
for exclusive in job.exclusive_resources:
if self._used_resources[exclusive] != 0:
return False
# Finally, we check if we have enough of each resource
# available. If we don't have enough, the job cannot be
# scheduled.
for resource in job.resources:
if (self._max_resources[resource] > 0 and
self._used_resources[resource] >= self._max_resources[resource]):
return False
# Now we register the fact that our job is using the resources
# it asked for, and tell the scheduler that it is allowed to
# continue.
for resource in job.resources:
self._used_resources[resource] += 1
return True