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Merged some Lint Errors into master #414

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merged 2 commits into from
Dec 5, 2018
Merged

Merged some Lint Errors into master #414

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4cb25f7
Fixed 3.x lint items
johann8384 Dec 5, 2018
b477a09
formatted hadoop collectors
johann8384 Dec 5, 2018
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88 changes: 44 additions & 44 deletions collectors/0/hadoop_yarn_node_manager.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,72 +21,72 @@
import os
import sys
import time

try:
import json
import json
except ImportError:
json = None
json = None
import argparse

SRCDIR = os.path.join(os.path.dirname(__file__))
LIBDIR = os.path.join(SRCDIR, '..', 'lib')
sys.path.append(LIBDIR)
# pylint: disable=wrong-import-position
from collectors.lib import utils
from collectors.lib.hadoop_http import HadoopHttp


REPLACEMENTS = {
}


class HadoopYarnNodeManager(HadoopHttp):
"""
Class that will retrieve metrics from an Apache Hadoop Yarn Node Manager JMX API
"""
Class that will retrieve metrics from an Apache Hadoop Yarn Node Manager JMX API

Tested on Apache Hadoop 2.7
"""
Tested on Apache Hadoop 2.7
"""

def __init__(self, host='localhost', port=8042):
super(HadoopYarnNodeManager, self).__init__('hadoop',
'yarn.node_manager',
host,
port)
def __init__(self, host='localhost', port=8042):
super(HadoopYarnNodeManager, self).__init__('hadoop',
'yarn.node_manager',
host,
port)

def emit(self):
current_time = int(time.time())
metrics = self.poll()
for context, metric_name, value in metrics:
for key, value in REPLACEMENTS.iteritems():
if any(_.startswith(key) for _ in context):
context = value
self.emit_metric(context, current_time, metric_name, value)
def emit(self):
current_time = int(time.time())
metrics = self.poll()
for context, metric_name, value in metrics:
for key, value in REPLACEMENTS.items():
if any(_.startswith(key) for _ in context):
context = value
self.emit_metric(context, current_time, metric_name, value)


# args are useful for testing but no given by TCollector so will inherit defaults normally
def main(args):
""" Calls HadoopYarnNodeManager at interval secs
and emits metrics to stdout for TCollector """
if json is None:
utils.err("This collector requires the `json' Python module.")
return 13 # Ask tcollector not to respawn us
utils.drop_privileges()
parser = argparse.ArgumentParser()
parser.add_argument('-H', '--host', default='localhost',
help='Host to connect to (default: localhost)')
parser.add_argument('-P', '--port', default=8042, type=int,
help='Port to connect to (default: 8042)')
parser.add_argument('-i', '--interval', default=90, type=int,
help='Interval at which to emit metrics')
args = parser.parse_args(args[1:])
host = args.host
port = args.port
interval = args.interval
yarn_service = HadoopYarnNodeManager(host=host, port=port)
while True:
yarn_service.emit()
time.sleep(interval)
return 0
""" Calls HadoopYarnNodeManager at interval secs
and emits metrics to stdout for TCollector """
if json is None:
utils.err("This collector requires the `json' Python module.")
return 13 # Ask tcollector not to respawn us
utils.drop_privileges()
parser = argparse.ArgumentParser()
parser.add_argument('-H', '--host', default='localhost',
help='Host to connect to (default: localhost)')
parser.add_argument('-P', '--port', default=8042, type=int,
help='Port to connect to (default: 8042)')
parser.add_argument('-i', '--interval', default=90, type=int,
help='Interval at which to emit metrics')
args = parser.parse_args(args[1:])
host = args.host
port = args.port
interval = args.interval
yarn_service = HadoopYarnNodeManager(host=host, port=port)
while True:
yarn_service.emit()
time.sleep(interval)
return 0


if __name__ == "__main__":
sys.exit(main(sys.argv))

sys.exit(main(sys.argv))
88 changes: 44 additions & 44 deletions collectors/0/hadoop_yarn_resource_manager.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,72 +21,72 @@
import os
import sys
import time

try:
import json
import json
except ImportError:
json = None
json = None
import argparse

SRCDIR = os.path.join(os.path.dirname(__file__))
LIBDIR = os.path.join(SRCDIR, '..', 'lib')
sys.path.append(LIBDIR)
# pylint: disable=wrong-import-position
from collectors.lib import utils
from collectors.lib.hadoop_http import HadoopHttp


REPLACEMENTS = {
}


class HadoopYarnResourceManager(HadoopHttp):
"""
Class that will retrieve metrics from an Apache Hadoop Yarn Resource Manager JMX API
"""
Class that will retrieve metrics from an Apache Hadoop Yarn Resource Manager JMX API

Tested on Apache Hadoop 2.7
"""
Tested on Apache Hadoop 2.7
"""

def __init__(self, host='localhost', port=8088):
super(HadoopYarnResourceManager, self).__init__('hadoop',
'yarn.resource_manager',
host,
port)
def __init__(self, host='localhost', port=8088):
super(HadoopYarnResourceManager, self).__init__('hadoop',
'yarn.resource_manager',
host,
port)

def emit(self):
current_time = int(time.time())
metrics = self.poll()
for context, metric_name, value in metrics:
for key, value in REPLACEMENTS.iteritems():
if any(_.startswith(key) for _ in context):
context = value
self.emit_metric(context, current_time, metric_name, value)
def emit(self):
current_time = int(time.time())
metrics = self.poll()
for context, metric_name, value in metrics:
for key, value in REPLACEMENTS.items():
if any(_.startswith(key) for _ in context):
context = value
self.emit_metric(context, current_time, metric_name, value)


# args are useful for testing but no given by TCollector so will inherit defaults normally
def main(args):
""" Calls HadoopYarnResourceManager at interval secs
and emits metrics to stdout for TCollector """
if json is None:
utils.err("This collector requires the `json' Python module.")
return 13 # Ask tcollector not to respawn us
utils.drop_privileges()
parser = argparse.ArgumentParser()
parser.add_argument('-H', '--host', default='localhost',
help='Host to connect to (default: localhost)')
parser.add_argument('-P', '--port', default=8088, type=int,
help='Port to connect to (default: 8088)')
parser.add_argument('-i', '--interval', default=90, type=int,
help='Interval at which to emit metrics')
args = parser.parse_args(args[1:])
host = args.host
port = args.port
interval = args.interval
yarn_service = HadoopYarnResourceManager(host=host, port=port)
while True:
yarn_service.emit()
time.sleep(interval)
return 0
""" Calls HadoopYarnResourceManager at interval secs
and emits metrics to stdout for TCollector """
if json is None:
utils.err("This collector requires the `json' Python module.")
return 13 # Ask tcollector not to respawn us
utils.drop_privileges()
parser = argparse.ArgumentParser()
parser.add_argument('-H', '--host', default='localhost',
help='Host to connect to (default: localhost)')
parser.add_argument('-P', '--port', default=8088, type=int,
help='Port to connect to (default: 8088)')
parser.add_argument('-i', '--interval', default=90, type=int,
help='Interval at which to emit metrics')
args = parser.parse_args(args[1:])
host = args.host
port = args.port
interval = args.interval
yarn_service = HadoopYarnResourceManager(host=host, port=port)
while True:
yarn_service.emit()
time.sleep(interval)
return 0


if __name__ == "__main__":
sys.exit(main(sys.argv))

sys.exit(main(sys.argv))
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