def _get_or_create_unaggregated_timeseries(self, metrics, version=3):
pipe = self._client.pipeline(transaction=False)
for metric in metrics:
metric_key = self._metric_key(metric)
unagg_key = self._unaggregated_field(version)
# Create the metric if it was not created
pipe.hsetnx(metric_key, unagg_key, "")
# Get the data
pipe.hget(metric_key, unagg_key)
ts = {
# Replace "" by None
metric: data or None
for metric, (created, data)
in six.moves.zip(metrics, utils.grouper(pipe.execute(), 2))
}
return ts
def _get_or_create_unaggregated_timeseries(self, metrics, version=3):
pipe = self._client.pipeline(transaction=False)
for metric in metrics:
metric_key = self._metric_key(metric)
unagg_key = self._unaggregated_field(version)
# Create the metric if it was not created
pipe.hsetnx(metric_key, unagg_key, "")
# Get the data
pipe.hget(metric_key, unagg_key)
ts = {
# Replace "" by None
metric: data or None
for metric, (created, data)
in six.moves.zip(metrics, utils.grouper(pipe.execute(), 2))
}
return ts
def bulk_delete(conn, bucket, objects):
# NOTE(jd) The maximum object to delete at once is 1000
# TODO(jd) Parallelize?
deleted = 0
for obj_slice in utils.grouper(objects, 1000):
d = {
'Objects': [{'Key': o} for o in obj_slice],
# FIXME(jd) Use Quiet mode, but s3rver does not seem to
# support it
# 'Quiet': True,
}
response = conn.delete_objects(
Bucket=bucket,
Delete=d)
deleted += len(response['Deleted'])
LOG.debug('%s objects deleted, %s objects skipped',
deleted, len(objects) - deleted)
def bulk_delete(conn, bucket, objects):
# NOTE(jd) The maximum object to delete at once is 1000
# TODO(jd) Parallelize?
deleted = 0
for obj_slice in utils.grouper(objects, 1000):
d = {
'Objects': [{'Key': o} for o in obj_slice],
# FIXME(jd) Use Quiet mode, but s3rver does not seem to
# support it
# 'Quiet': True,
}
response = conn.delete_objects(
Bucket=bucket,
Delete=d)
deleted += len(response['Deleted'])
LOG.debug('%s objects deleted, %s objects skipped',
deleted, len(objects) - deleted)
from gnocchi import utils
WORST_CASE_BYTES_PER_POINT = 8.04
if (len(sys.argv) - 1) % 2 != 0:
print("Usage: %s <granularity> <timespan> ... <granularity> <timespan>"
% sys.argv[0])
sys.exit(1)
def sizeof_fmt(num, suffix='B'):
for unit in ('', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi'):
if abs(num) < 1024.0:
return "%3.1f%s%s" % (num, unit, suffix)
num /= 1024.0
return "%.1f%s%s" % (num, 'Yi', suffix)
size = 0
for g, t in utils.grouper(sys.argv[1:], 2):
granularity = utils.to_timespan(g)
timespan = utils.to_timespan(t)
points = timespan.total_seconds() / granularity.total_seconds()
cursize = points * WORST_CASE_BYTES_PER_POINT
size += cursize
print("%s over %s = %d points = %s" % (g, t, points, sizeof_fmt(cursize)))
print("Total: " + sizeof_fmt(size))
WORST_CASE_BYTES_PER_POINT = 8.04
if (len(sys.argv) - 2) % 2 != 0:
print("Usage: %s <number of agg methods> <granularity> <timespan> ..."
% sys.argv[0])
sys.exit(1)
def sizeof_fmt(num, suffix='B'):
for unit in ('', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi'):
if abs(num) < 1024.0:
return "%3.1f%s%s" % (num, unit, suffix)
num /= 1024.0
return "%.1f%s%s" % (num, 'Yi', suffix)
size = 0
agg_methods = int(sys.argv[1])
for g, t in utils.grouper(sys.argv[2:], 2):
granularity = utils.to_timespan(g)
timespan = utils.to_timespan(t)
points = timespan / granularity
cursize = points * WORST_CASE_BYTES_PER_POINT
size += cursize
print("%s over %s = %d points = %s" % (g, t, points, sizeof_fmt(cursize)))
size *= agg_methods
print("Total: " + sizeof_fmt(size))
