/usr/lib/python3/dist-packages/gnocchi/storage/s3.py is in python3-gnocchi 4.2.0-0ubuntu5.
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#
# Copyright © 2016-2017 Red Hat, Inc.
#
# 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 oslo_config import cfg
import tenacity
from gnocchi.common import s3
from gnocchi import storage
from gnocchi import utils
boto3 = s3.boto3
botocore = s3.botocore
OPTS = [
cfg.StrOpt('s3_endpoint_url',
help='S3 endpoint URL'),
cfg.StrOpt('s3_region_name',
default=os.getenv("AWS_DEFAULT_REGION"),
help='S3 region name'),
cfg.StrOpt('s3_access_key_id',
default=os.getenv("AWS_ACCESS_KEY_ID"),
help='S3 access key id'),
cfg.StrOpt('s3_secret_access_key',
default=os.getenv("AWS_SECRET_ACCESS_KEY"),
help='S3 secret access key'),
cfg.StrOpt('s3_bucket_prefix',
# Max bucket length is 63 and we use "-" as separator
# 63 - 1 - len(uuid) = 26
max_length=26,
default='gnocchi',
help='Prefix to namespace metric bucket.'),
cfg.FloatOpt('s3_check_consistency_timeout',
min=0,
default=60,
help="Maximum time to wait checking data consistency when "
"writing to S3. Set to 0 to disable data consistency "
"validation."),
cfg.IntOpt('s3_max_pool_connections',
min=1,
default=50,
help="The maximum number of connections to keep in a "
"connection pool."),
]
def retry_if_operationaborted(exception):
return (isinstance(exception, botocore.exceptions.ClientError)
and exception.response['Error'].get('Code') == "OperationAborted")
class S3Storage(storage.StorageDriver):
WRITE_FULL = True
_consistency_wait = tenacity.wait_exponential(multiplier=0.1)
def __init__(self, conf, coord=None):
super(S3Storage, self).__init__(conf, coord)
self.s3, self._region_name, self._bucket_prefix = (
s3.get_connection(conf)
)
self._bucket_name = '%s-aggregates' % self._bucket_prefix
if conf.s3_check_consistency_timeout > 0:
self._consistency_stop = tenacity.stop_after_delay(
conf.s3_check_consistency_timeout)
else:
self._consistency_stop = None
def __str__(self):
return "%s: %s" % (self.__class__.__name__, self._bucket_name)
def upgrade(self):
super(S3Storage, self).upgrade()
try:
s3.create_bucket(self.s3, self._bucket_name, self._region_name)
except botocore.exceptions.ClientError as e:
if e.response['Error'].get('Code') != "BucketAlreadyExists":
raise
@staticmethod
def _object_name(split_key, aggregation, version=3):
name = '%s_%s_%s' % (
aggregation,
utils.timespan_total_seconds(split_key.sampling),
split_key,
)
return name + '_v%s' % version if version else name
@staticmethod
def _prefix(metric):
return str(metric.id) + '/'
def _create_metric(self, metric):
pass
def _put_object_safe(self, Bucket, Key, Body):
put = self.s3.put_object(Bucket=Bucket, Key=Key, Body=Body)
if self._consistency_stop:
def _head():
return self.s3.head_object(Bucket=Bucket,
Key=Key, IfMatch=put['ETag'])
tenacity.Retrying(
retry=tenacity.retry_if_result(
lambda r: r['ETag'] != put['ETag']),
wait=self._consistency_wait,
stop=self._consistency_stop)(_head)
def _store_metric_measures(self, metric, key, aggregation,
data, offset=0, version=3):
self._put_object_safe(
Bucket=self._bucket_name,
Key=self._prefix(metric) + self._object_name(
key, aggregation, version),
Body=data)
def _delete_metric_measures(self, metric, key, aggregation,
version=3):
self.s3.delete_object(
Bucket=self._bucket_name,
Key=self._prefix(metric) + self._object_name(
key, aggregation, version))
def _delete_metric(self, metric):
bucket = self._bucket_name
response = {}
while response.get('IsTruncated', True):
if 'NextContinuationToken' in response:
kwargs = {
'ContinuationToken': response['NextContinuationToken']
}
else:
kwargs = {}
try:
response = self.s3.list_objects_v2(
Bucket=bucket, Prefix=self._prefix(metric), **kwargs)
except botocore.exceptions.ClientError as e:
if e.response['Error'].get('Code') == "NoSuchKey":
# Maybe it never has been created (no measure)
return
raise
s3.bulk_delete(self.s3, bucket,
[c['Key'] for c in response.get('Contents', ())])
def _get_measures_unbatched(self, metric, key, aggregation, version=3):
try:
response = self.s3.get_object(
Bucket=self._bucket_name,
Key=self._prefix(metric) + self._object_name(
key, aggregation, version))
except botocore.exceptions.ClientError as e:
if e.response['Error'].get('Code') == 'NoSuchKey':
try:
response = self.s3.list_objects_v2(
Bucket=self._bucket_name, Prefix=self._prefix(metric))
except botocore.exceptions.ClientError as e:
if e.response['Error'].get('Code') == 'NoSuchKey':
raise storage.MetricDoesNotExist(metric)
raise
raise storage.AggregationDoesNotExist(
metric, aggregation, key.sampling)
raise
return response['Body'].read()
def _list_split_keys(self, metric, aggregation, granularity, version=3):
bucket = self._bucket_name
keys = set()
response = {}
while response.get('IsTruncated', True):
if 'NextContinuationToken' in response:
kwargs = {
'ContinuationToken': response['NextContinuationToken']
}
else:
kwargs = {}
try:
response = self.s3.list_objects_v2(
Bucket=bucket,
Prefix=self._prefix(metric) + '%s_%s' % (
aggregation,
utils.timespan_total_seconds(granularity),
),
**kwargs)
except botocore.exceptions.ClientError as e:
if e.response['Error'].get('Code') == "NoSuchKey":
raise storage.MetricDoesNotExist(metric)
raise
for f in response.get('Contents', ()):
try:
meta = f['Key'].split('_')
if (self._version_check(f['Key'], version)):
keys.add(meta[2])
except (ValueError, IndexError):
# Might be "none", or any other file. Be resilient.
continue
return keys
@staticmethod
def _build_unaggregated_timeserie_path(metric, version):
return S3Storage._prefix(metric) + 'none' + ("_v%s" % version
if version else "")
def _get_unaggregated_timeserie(self, metric, version=3):
try:
response = self.s3.get_object(
Bucket=self._bucket_name,
Key=self._build_unaggregated_timeserie_path(metric, version))
except botocore.exceptions.ClientError as e:
if e.response['Error'].get('Code') == "NoSuchKey":
raise storage.MetricDoesNotExist(metric)
raise
return response['Body'].read()
def _store_unaggregated_timeserie(self, metric, data, version=3):
self._put_object_safe(
Bucket=self._bucket_name,
Key=self._build_unaggregated_timeserie_path(metric, version),
Body=data)
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