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# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from prometheus_client.core import GaugeMetricFamily
from .utils import get_data_by_named_column, get_data_by_named_row
class PgBouncerCollector(object):
def __init__(self, connection, namespace='pgbouncer'):
self.connection = connection
self.namespace = namespace
class NamedColumnCollector(PgBouncerCollector):
def get_labels_for_row(self, row):
raise NotImplementedError()
def collect(self):
# Each of the metrics is recorded per database, by calling add_metric
# with the database as the label on the appropriate GaugeMetricFamily.
# First, create the GaugeMetricFamily objects for each metric
gauges = {
key: GaugeMetricFamily(
name="%s_%s" % (self.namespace, name),
documentation="%s (%s)" % (documentation, key),
labels=self.labels,
)
for key, (name, documentation) in self.metrics.items()
}
rows = get_data_by_named_column(self.connection, self.query_parameter)
# Each row coresponds to the metrics for a particular database
for row in rows:
database = row['database']
if self.databases is not None and database not in self.databases:
continue
# Sort for deterministic ordering in the output
for key in sorted(self.metrics.keys()):
value = row[key]
label_values = self.get_labels_for_row(row)
gauges[key].add_metric(label_values, value)
for gauge in gauges.values():
yield gauge
class ListsCollector(PgBouncerCollector):
metrics = {
'databases': (
'databases',
"Number of databases",
),
'users': (
'users',
"Number of users",
),
'pools': (
'pools',
"Number of pools",
),
'free_clients': (
'free_clients',
"Number of free clients",
),
'used_clients': (
'used_clients',
"Number of used clients",
),
'login_clients': (
'login_clients',
"Number of clients in the login stats",
),
'free_servers': (
'free_servers',
"Number of free servers",
),
'used_servers': (
'used_servers',
"Number of used servers",
),
'dns_names': (
'dns_names',
"",
),
'dns_zones': (
'dns_zones',
"",
),
'dns_queries': (
'dns_queries',
"",
),
'dns_pending': (
'dns_pending',
"",
),
}
def collect(self):
data = get_data_by_named_row(self.connection, 'LISTS')
for key, (name, documentation) in sorted(
self.metrics.items(), key=lambda x: x[0]
):
yield GaugeMetricFamily(
name="%s_%s" % (self.namespace, name),
documentation="%s (%s)" % (documentation, key),
value=data[key],
)
class StatsCollector(NamedColumnCollector):
query_parameter = 'STATS'
labels = ['database']
metrics = {
'total_requests': (
'requests_total',
"Total number of SQL requests pooled by pgbouncer",
),
'total_received': (
'received_bytes_total',
"Total volume in bytes of network traffic received by pgbouncer",
),
'total_sent': (
'sent_bytes_total',
"Total volume in bytes of network traffic sent by pgbouncer",
),
'total_query_time': (
'query_microseconds_total',
"Total number of microseconds spent by pgbouncer when actively connected to PostgreSQL",
),
}
def __init__(self, databases, *args, **kwargs):
super().__init__(*args, **kwargs)
self.databases = databases
def get_labels_for_row(self, row):
return [row['database']]
class PoolsCollector(NamedColumnCollector):
query_parameter = 'POOLS'
labels = ['database', 'user']
metrics = {
'cl_active': (
'active_clients',
"Client connections that are linked to server connection and can process queries",
),
'cl_waiting': (
'waiting_clients',
"Client connections have sent queries but have not yet got a server connection",
),
}
def __init__(self, databases, *args, **kwargs):
super().__init__(*args, **kwargs)
self.databases = databases
def get_labels_for_row(self, row):
return [row['database'], row['user']]
class DatabasesCollector(NamedColumnCollector):
query_parameter = 'DATABASES'
labels = ['database']
metrics = {
'pool_size': (
'pool_size',
"",
),
'reserve_pool': (
'reserve_pool',
"",
),
}
def __init__(self, databases, *args, **kwargs):
super().__init__(*args, **kwargs)
self.databases = databases
def get_labels_for_row(self, row):
return [row['database']]
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