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monitor.py
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monitor.py
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#!/usr/bin/env python3
# Copyright 2018 The Kubernetes Authors.
#
# 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.
"""
A dead-simple Influxdb data pusher to report BigQuery database statistics.
"""
import argparse
import json
import os
import sys
import time
import influxdb
try:
from google.cloud import bigquery
import google.cloud.exceptions
except ImportError:
print('WARNING: unable to load google cloud (test environment?)')
import traceback
traceback.print_exc()
def collect(tables, stale_hours, influx_client):
lines = []
stale = False
for table_spec in tables:
project, dataset_name = table_spec.split(':')
dataset, name = dataset_name.split('.')
table = bigquery.Client(project).dataset(dataset).table(name)
try:
table.reload()
except google.cloud.exceptions.NotFound: # pylint: disable=no-member
continue
# converting datetimes back into epoch-milliseconds is tiresome
# pylint: disable=protected-access
fields = {
'size_bytes': table.num_bytes,
'modified_time': int(table._properties.get('lastModifiedTime')),
'row_count': table.num_rows
}
sbuf = table._properties.get('streamingBuffer')
if sbuf:
fields.update({
'streaming_buffer_estimated_bytes': sbuf['estimatedBytes'],
'streaming_buffer_estimated_row_count': sbuf['estimatedRows'],
'streaming_buffer_oldest_entry_time': int(sbuf['oldestEntryTime']),
})
hours_old = (time.time() - fields['modified_time'] / 1000) / (3600.0)
if stale_hours and hours_old > stale_hours:
print('ERROR: table %s is %.1f hours old. Max allowed: %s hours.' % (
table.table_id, hours_old, stale_hours))
stale = True
lines.append(influxdb.line_protocol.make_lines({
'tags': {'db': table.table_id},
'points': [{'measurement': 'bigquery', 'fields': fields}]
}))
print('Collected data:')
print(''.join(lines))
if influx_client:
influx_client.write_points(lines, time_precision='ms', protocol='line')
else:
print('Not uploading to influxdb; missing client.')
return int(stale)
def make_influx_client():
"""Make an InfluxDB client from config at path $VELODROME_INFLUXDB_CONFIG"""
if 'VELODROME_INFLUXDB_CONFIG' not in os.environ:
return None
with open(os.environ['VELODROME_INFLUXDB_CONFIG']) as config_file:
config = json.load(config_file)
return influxdb.InfluxDBClient(
host=config['host'],
port=config['port'],
username=config['user'],
password=config['password'],
database='metrics',
)
def main(args):
parser = argparse.ArgumentParser()
parser.add_argument('--table', nargs='+', required=True,
help='List of datasets to return information about.')
parser.add_argument('--stale', type=int,
help='Number of hours to consider stale.')
opts = parser.parse_args(args)
return collect(opts.table, opts.stale, make_influx_client())
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]))