/usr/lib/python2.7/dist-packages/carbon/database.py is in graphite-carbon 1.0.2-1.
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 | """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
from os.path import exists, dirname, join, sep
from carbon.util import PluginRegistrar
from carbon import log
class TimeSeriesDatabase(object):
"Abstract base class for Carbon database backends."
__metaclass__ = PluginRegistrar
plugins = {}
"List of supported aggregation methods for the database."
aggregationMethods = []
def write(self, metric, datapoints):
"Persist datapoints in the database for metric."
raise NotImplemented()
def exists(self, metric):
"Return True if the given metric path exists, False otherwise."
raise NotImplemented()
def create(self, metric, retentions, xfilesfactor, aggregation_method):
"Create an entry in the database for metric using options."
raise NotImplemented()
def getMetadata(self, metric, key):
"Lookup metric metadata."
raise NotImplemented()
def setMetadata(self, metric, key, value):
"Modify metric metadata."
raise NotImplemented()
def getFilesystemPath(self, metric):
"Return filesystem path for metric, defaults to None."
pass
def validateArchiveList(self, archiveList):
"Validate that the database can handle the given archiveList."
pass
try:
import whisper
except ImportError:
pass
else:
class WhisperDatabase(TimeSeriesDatabase):
plugin_name = 'whisper'
aggregationMethods = whisper.aggregationMethods
def __init__(self, settings):
self.data_dir = settings.LOCAL_DATA_DIR
self.sparse_create = settings.WHISPER_SPARSE_CREATE
self.fallocate_create = settings.WHISPER_FALLOCATE_CREATE
if settings.WHISPER_AUTOFLUSH:
log.msg("Enabling Whisper autoflush")
whisper.AUTOFLUSH = True
if settings.WHISPER_FALLOCATE_CREATE:
if whisper.CAN_FALLOCATE:
log.msg("Enabling Whisper fallocate support")
else:
log.err("WHISPER_FALLOCATE_CREATE is enabled but linking failed.")
if settings.WHISPER_LOCK_WRITES:
if whisper.CAN_LOCK:
log.msg("Enabling Whisper file locking")
whisper.LOCK = True
else:
log.err("WHISPER_LOCK_WRITES is enabled but import of fcntl module failed.")
if settings.WHISPER_FADVISE_RANDOM:
try:
if whisper.CAN_FADVISE:
log.msg("Enabling Whisper fadvise_random support")
whisper.FADVISE_RANDOM = True
else:
log.err("WHISPER_FADVISE_RANDOM is enabled but import of ftools module failed.")
except AttributeError:
log.err("WHISPER_FADVISE_RANDOM is enabled but skipped because it is not compatible with the version of Whisper.")
def write(self, metric, datapoints):
path = self.getFilesystemPath(metric)
whisper.update_many(path, datapoints)
def exists(self, metric):
return exists(self.getFilesystemPath(metric))
def create(self, metric, retentions, xfilesfactor, aggregation_method):
path = self.getFilesystemPath(metric)
directory = dirname(path)
try:
if not exists(directory):
os.makedirs(directory)
except OSError, e:
log.err("%s" % e)
whisper.create(path, retentions, xfilesfactor, aggregation_method,
self.sparse_create, self.fallocate_create)
def getMetadata(self, metric, key):
if key != 'aggregationMethod':
raise ValueError("Unsupported metadata key \"%s\"" % key)
wsp_path = self.getFilesystemPath(metric)
return whisper.info(wsp_path)['aggregationMethod']
def setMetadata(self, metric, key, value):
if key != 'aggregationMethod':
raise ValueError("Unsupported metadata key \"%s\"" % key)
wsp_path = self.getFilesystemPath(metric)
return whisper.setAggregationMethod(wsp_path, value)
def getFilesystemPath(self, metric):
metric_path = metric.replace('.', sep).lstrip(sep) + '.wsp'
return join(self.data_dir, metric_path)
def validateArchiveList(self, archiveList):
try:
whisper.validateArchiveList(archiveList)
except whisper.InvalidConfiguration, e:
raise ValueError("%s" % e)
try:
import ceres
except ImportError:
pass
else:
class CeresDatabase(TimeSeriesDatabase):
plugin_name = 'ceres'
aggregationMethods = ['average','sum','last','max','min']
def __init__(self, settings):
self.data_dir = settings.LOCAL_DATA_DIR
ceres.setDefaultNodeCachingBehavior(settings.CERES_NODE_CACHING_BEHAVIOR)
ceres.setDefaultSliceCachingBehavior(settings.CERES_SLICE_CACHING_BEHAVIOR)
ceres.MAX_SLICE_GAP = int(settings.CERES_MAX_SLICE_GAP)
if settings.CERES_LOCK_WRITES:
if ceres.CAN_LOCK:
log.msg("Enabling Ceres file locking")
ceres.LOCK_WRITES = True
else:
log.err("CERES_LOCK_WRITES is enabled but import of fcntl module failed.")
self.tree = ceres.CeresTree(self.data_dir)
def write(self, metric, datapoints):
self.tree.store(metric, datapoints)
def exists(self, metric):
return self.tree.hasNode(metric)
def create(self, metric, retentions, xfilesfactor, aggregation_method):
self.tree.createNode(metric, retentions=retentions,
timeStep=retentions[0][0],
xFilesFactor=xfilesfactor,
aggregationMethod=aggregation_method)
def getMetadata(self, metric, key):
return self.tree.getNode(metric).readMetadata()[key]
def setMetadata(self, metric, key, value):
node = self.tree.getNode(metric)
metadata = node.readMetadata()
metadata[key] = value
node.writeMetadata(metadata)
def getFilesystemPath(self, metric):
return self.tree.getFilesystemPath(metric)
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