import signal
except ImportError:
log.msg("Couldn't import signal module")
SCHEMAS = loadStorageSchemas()
AGGREGATION_SCHEMAS = loadAggregationSchemas()
CACHE_SIZE_LOW_WATERMARK = settings.MAX_CACHE_SIZE * 0.95
# Inititalize token buckets so that we can enforce rate limits on creates and
# updates if the config wants them.
CREATE_BUCKET = None
UPDATE_BUCKET = None
if settings.MAX_CREATES_PER_MINUTE != float('inf'):
capacity = settings.MAX_CREATES_PER_MINUTE
fill_rate = float(settings.MAX_CREATES_PER_MINUTE) / 60
CREATE_BUCKET = TokenBucket(capacity, fill_rate)
if settings.MAX_UPDATES_PER_SECOND != float('inf'):
capacity = settings.MAX_UPDATES_PER_SECOND
fill_rate = settings.MAX_UPDATES_PER_SECOND
UPDATE_BUCKET = TokenBucket(capacity, fill_rate)
def optimalWriteOrder():
"""Generates metrics with the most cached values first and applies a soft
rate limit on new metrics"""
while MetricCache:
(metric, datapoints) = MetricCache.pop()
if state.cacheTooFull and MetricCache.size < CACHE_SIZE_LOW_WATERMARK:
events.cacheSpaceAvailable()
import signal
except ImportError:
log.msg("Couldn't import signal module")
SCHEMAS = loadStorageSchemas()
AGGREGATION_SCHEMAS = loadAggregationSchemas()
# Inititalize token buckets so that we can enforce rate limits on creates and
# updates if the config wants them.
CREATE_BUCKET = None
UPDATE_BUCKET = None
if settings.MAX_CREATES_PER_MINUTE != float('inf'):
capacity = settings.MAX_CREATES_PER_MINUTE
fill_rate = float(settings.MAX_CREATES_PER_MINUTE) / 60
CREATE_BUCKET = TokenBucket(capacity, fill_rate, reactor)
if settings.MAX_UPDATES_PER_SECOND != float('inf'):
capacity = settings.MAX_UPDATES_PER_SECOND
fill_rate = settings.MAX_UPDATES_PER_SECOND
UPDATE_BUCKET = TokenBucket(capacity, fill_rate, reactor)
class TagQueue(object):
def __init__(self, maxsize=0, update_interval=1):
self.add_queue = queue.Queue(maxsize)
self.update_queue = queue.Queue(maxsize)
self.update_interval = update_interval
self.update_counter = 0
def add(self, metric):