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An example in python on using the Stackdriver Monitoring API to query your Firebase Realtime Database's average load over the past day
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# Copyright 2017 Google 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 | |
# | |
# https://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. | |
""" | |
This is an example script that will download the latest 24 hours of | |
your realtime database load and tell you the average utilization | |
of you database instance. | |
The metric for your database's load is a percentage of the last | |
1 minute that it was busy processing requests. | |
""" | |
try: | |
from google.cloud import monitoring | |
from google.cloud.monitoring.metric import MetricKind, ValueType | |
except ImportError: | |
print "Please run 'pip install google-cloud'" | |
import sys | |
sys.exit(1) | |
def main(): | |
""" | |
See: https://googlecloudplatform.github.io/google-cloud-python/stable/monitoring-usage.html | |
for more example and documentation on how the monitoring API for python. | |
""" | |
# This is the GCP project tied to your firebase project | |
client = monitoring.Client(project = 'rockwood-test') | |
# This is from the following link: | |
# https://cloud.google.com/monitoring/api/metrics#gcp-firebasedatabase | |
METRIC = 'firebasedatabase.googleapis.com/io/utilization' | |
query = client.query(METRIC, days=1) | |
# We should only get back a single timeseries from | |
# this query, with the metric that we want. | |
for timeseries in query: | |
assert timeseries.metric_kind == MetricKind.GAUGE | |
assert timeseries.value_type == ValueType.DOUBLE | |
total = 0 | |
size = 0 | |
for point in timeseries.points: | |
total += point.value * 100.0 # Convert to percent | |
size += 1 | |
average = round(total / size, 2) | |
print "Your database's average load is", average, "%" | |
if __name__ == '__main__': | |
main() |
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