/usr/share/pyshared/carbon/writer.py is in graphite-carbon 0.9.10-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 | """Copyright 2009 Chris Davis
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License."""
import os
import time
from os.path import join, exists, dirname, basename
import whisper
from carbon import state
from carbon.cache import MetricCache
from carbon.storage import getFilesystemPath, loadStorageSchemas, loadAggregationSchemas
from carbon.conf import settings
from carbon import log, events, instrumentation
from twisted.internet import reactor
from twisted.internet.task import LoopingCall
from twisted.application.service import Service
lastCreateInterval = 0
createCount = 0
schemas = loadStorageSchemas()
agg_schemas = loadAggregationSchemas()
CACHE_SIZE_LOW_WATERMARK = settings.MAX_CACHE_SIZE * 0.95
def optimalWriteOrder():
"Generates metrics with the most cached values first and applies a soft rate limit on new metrics"
global lastCreateInterval
global createCount
metrics = MetricCache.counts()
t = time.time()
metrics.sort(key=lambda item: item[1], reverse=True) # by queue size, descending
log.msg("Sorted %d cache queues in %.6f seconds" % (len(metrics), time.time() - t))
for metric, queueSize in metrics:
if state.cacheTooFull and MetricCache.size < CACHE_SIZE_LOW_WATERMARK:
events.cacheSpaceAvailable()
dbFilePath = getFilesystemPath(metric)
dbFileExists = exists(dbFilePath)
if not dbFileExists:
createCount += 1
now = time.time()
if now - lastCreateInterval >= 60:
lastCreateInterval = now
createCount = 1
elif createCount >= settings.MAX_CREATES_PER_MINUTE:
# dropping queued up datapoints for new metrics prevents filling up the entire cache
# when a bunch of new metrics are received.
try:
MetricCache.pop(metric)
except KeyError:
pass
continue
try: # metrics can momentarily disappear from the MetricCache due to the implementation of MetricCache.store()
datapoints = MetricCache.pop(metric)
except KeyError:
log.msg("MetricCache contention, skipping %s update for now" % metric)
continue # we simply move on to the next metric when this race condition occurs
yield (metric, datapoints, dbFilePath, dbFileExists)
def writeCachedDataPoints():
"Write datapoints until the MetricCache is completely empty"
updates = 0
lastSecond = 0
while MetricCache:
dataWritten = False
for (metric, datapoints, dbFilePath, dbFileExists) in optimalWriteOrder():
dataWritten = True
if not dbFileExists:
archiveConfig = None
xFilesFactor, aggregationMethod = None, None
for schema in schemas:
if schema.matches(metric):
log.creates('new metric %s matched schema %s' % (metric, schema.name))
archiveConfig = [archive.getTuple() for archive in schema.archives]
break
for schema in agg_schemas:
if schema.matches(metric):
log.creates('new metric %s matched aggregation schema %s' % (metric, schema.name))
xFilesFactor, aggregationMethod = schema.archives
break
if not archiveConfig:
raise Exception("No storage schema matched the metric '%s', check your storage-schemas.conf file." % metric)
dbDir = dirname(dbFilePath)
os.system("mkdir -p -m 755 '%s'" % dbDir)
log.creates("creating database file %s (archive=%s xff=%s agg=%s)" %
(dbFilePath, archiveConfig, xFilesFactor, aggregationMethod))
whisper.create(dbFilePath, archiveConfig, xFilesFactor, aggregationMethod, settings.WHISPER_SPARSE_CREATE)
os.chmod(dbFilePath, 0755)
instrumentation.increment('creates')
try:
t1 = time.time()
whisper.update_many(dbFilePath, datapoints)
t2 = time.time()
updateTime = t2 - t1
except:
log.msg("Error writing to %s" % (dbFilePath))
log.err()
instrumentation.increment('errors')
else:
pointCount = len(datapoints)
instrumentation.increment('committedPoints', pointCount)
instrumentation.append('updateTimes', updateTime)
if settings.LOG_UPDATES:
log.updates("wrote %d datapoints for %s in %.5f seconds" % (pointCount, metric, updateTime))
# Rate limit update operations
thisSecond = int(t2)
if thisSecond != lastSecond:
lastSecond = thisSecond
updates = 0
else:
updates += 1
if updates >= settings.MAX_UPDATES_PER_SECOND:
time.sleep( int(t2 + 1) - t2 )
# Avoid churning CPU when only new metrics are in the cache
if not dataWritten:
time.sleep(0.1)
def writeForever():
while reactor.running:
try:
writeCachedDataPoints()
except:
log.err()
time.sleep(1) # The writer thread only sleeps when the cache is empty or an error occurs
def reloadStorageSchemas():
global schemas
try:
schemas = loadStorageSchemas()
except:
log.msg("Failed to reload storage schemas")
log.err()
def reloadAggregationSchemas():
global agg_schemas
try:
schemas = loadAggregationSchemas()
except:
log.msg("Failed to reload aggregation schemas")
log.err()
class WriterService(Service):
def __init__(self):
self.storage_reload_task = LoopingCall(reloadStorageSchemas)
self.aggregation_reload_task = LoopingCall(reloadAggregationSchemas)
def startService(self):
self.storage_reload_task.start(60, False)
self.aggregation_reload_task.start(60, False)
reactor.callInThread(writeForever)
Service.startService(self)
def stopService(self):
self.storage_reload_task.stop()
self.aggregation_reload_task.stop()
Service.stopService(self)
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