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Error if we hit pending spawn limit

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The backlog actually doesn't help - almost all of them fail,
and the exponential backoff just adds more work for our ticks
This commit is contained in:
yuvipanda
2017-07-27 20:36:59 -07:00
parent 27de44b0ec
commit d6827a2794
1 changed files with 3 additions and 5 deletions
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8
jupyterhub/handlers/base.py
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@@ -369,15 +369,13 @@ class BaseHandler(RequestHandler):
if self.settings['concurrent_spawn_limit'] is not None and \ if self.settings['concurrent_spawn_limit'] is not None and \
self.hub.pending_spawns > self.settings['concurrent_spawn_limit']: self.hub.pending_spawns > self.settings['concurrent_spawn_limit']:
# This will throw an error if we hit our timeout
self.log.info( self.log.info(
'More than %s pending spawns, throttling', 'More than %s pending spawns, throttling',
self.settings['concurrent_spawn_limit'] self.settings['concurrent_spawn_limit']
) )
yield exponential_backoff( raise web.HTTPError(
lambda: self.hub.pending_spawns < self.settings['concurrent_spawn_limit'], 429,
'Too many users are starting right now, try again later', "Too many users are starting now, try again shortly")
)
self.hub.pending_spawns += 1 self.hub.pending_spawns += 1
tic = IOLoop.current().time() tic = IOLoop.current().time()