src/kudu/scripts/graph-metrics.py

#!/usr/bin/env python
# Copyright 2013 Cloudera, 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.
#
# Script which parses a test log for 'metrics: ' lines emited by
# TimeSeriesCollector, and constructs a graph from them

import os
import re
import simplejson
import sys

METRICS_LINE = re.compile('metrics: (.+)$')
SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))

def parse_data_from(stream, scope):
  data = []
  scanned = 0
  prev_time = 0
  for line in stream:
    if 'metrics: {' not in line:
      continue
    match = METRICS_LINE.search(line)
    if not match:
      continue
    json = match.group(1)
    try:
      data_points = simplejson.loads(json)
    except:
      print >>sys.stderr, "bad json:", json
      raise
    if data_points['scope'] != scope:
      continue
    del data_points['scope']
    if 'scan_rate' in data_points:
      scanned += (data_points['scan_rate'] * (data_points['time'] - prev_time))
      data_points['scanned'] = scanned
      del data_points['scan_rate']
    prev_time = data_points['time']

    data.append(data_points)
  return data


def get_keys(raw_data):
  keys = set()
  for row in raw_data:
    keys.update(row.keys())
  return keys

def main():
  scope = sys.argv[1]
  data = parse_data_from(sys.stdin, scope)
  keys = get_keys(data)

  with sys.stdout as f:
    print >>f, "\t".join(keys)
    for row in data:
      print >>f, "\t".join([str(row.get(k, 0)) for k in keys])


if __name__ == "__main__":
  main()