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This patch now requires users of the Leopard framework to supply a DOCKER_IMAGE_NAME. The cloudera/impala image isn't being maintained, and until Apache Impala (incubating) decides to publish its own image, no default image name is possible. It is still possible to run the Leopard framework against a homegrown Docker image that has Apache Impala (incubating) and PostgreSQL installed: simply build such an image and export the DOCKER_IMAGE_NAME environment variable before running the controller. While here, fix some flake8 non-indent problems. Testing: short Leopard controller / query generator run. Change-Id: Ic1cb96cb5c9a894f40e0892f3bdd3f3d0158e887 Reviewed-on: http://gerrit.cloudera.org:8080/4936 Reviewed-by: Matthew Jacobs <mj@cloudera.com> Reviewed-by: Jim Apple <jbapple@cloudera.com> Reviewed-by: Taras Bobrovytsky <tbobrovytsky@cloudera.com> Tested-by: Jim Apple <jbapple@cloudera.com>
169 lines
6.5 KiB
Python
Executable File
169 lines
6.5 KiB
Python
Executable File
#!/usr/bin/env impala-python
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from time import sleep, localtime, strftime
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from tests.comparison.query_profile import DefaultProfile, ImpalaNestedTypesProfile
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from schedule_item import ScheduleItem
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from threading import Thread
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import os
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import pickle
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import time
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import logging
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PATH_TO_SCHEDULE = '/tmp/query_gen/schedule'
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PATH_TO_REPORTS = '/tmp/query_gen/reports'
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PATH_TO_FINISHED_JOBS = '/tmp/query_gen/completed_jobs'
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PATH_TO_LOG = '/tmp/query_gen/log'
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RUN_TIME_LIMIT = 12 * 3600
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GENERATION_FREQUENCY = RUN_TIME_LIMIT
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MAX_CONCURRENCY = 2
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DEFAULT_RUN_NAME = 'AUTO_RUN'
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SLEEP_LENGTH = 3
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NESTED_TYPES_MODE = False
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DELETE_SCHEDULE_ITEMS_ON_STARTUP = True
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SHOULD_BUILD_IMPALA = True
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SHOULD_LOAD_DATA = False
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SHOULD_PULL_DOCKER_IMAGE = True
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DATABASE_NAME = 'randomness'
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POSTGRES_DATABASE_NAME = 'randomness'
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LOG = logging.getLogger('Controller')
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class Controller(object):
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'''This class controls the query generator. Generates new schedule_items regularly and
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places them into the schedule directory. Schedule_items can also be generated by other
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means (for example front_end.py), so it checks schedule directory regularly and starts
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running new jobs. It seemed easier and more convenient to implement the scheduling
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mechanism this way, rather than use Jenkins.
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This is indended to be running on machine dedicated to be running the query generator.
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TARGET_HOST environment variable should be set to the address of the host that will be
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running Impala. The target machine should have Docker installed and configured. Each job
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will be run in a separate Docker container. The Docker Image can be specified by setting
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the DOCKER_IMAGE_NAME environment variable. The Image needs have Postgres installed and
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appropriate data loaded.
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Attributes:
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schedule_items: Keeps track of active job threads. This maps job id to the thread that
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running it.
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time_last_generated: Stores the time when a schedule was last generated automatically.
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Used to control the rate at which new schedule_items are generated.
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'''
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def __init__(self):
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self.check_env_vars()
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self.make_local_dirs()
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self.schedule_items = {}
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self.time_last_generated = 0
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def make_local_dirs(self):
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'''Create directories for schedule, log and results.
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'''
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if not os.path.exists(PATH_TO_SCHEDULE):
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os.makedirs(PATH_TO_SCHEDULE)
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if DELETE_SCHEDULE_ITEMS_ON_STARTUP:
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for job_id in os.listdir(PATH_TO_SCHEDULE):
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os.remove(os.path.join(PATH_TO_SCHEDULE, job_id))
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if not os.path.exists(PATH_TO_FINISHED_JOBS):
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os.makedirs(PATH_TO_FINISHED_JOBS)
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if not os.path.exists(PATH_TO_REPORTS):
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os.makedirs(PATH_TO_REPORTS)
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try:
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os.remove(PATH_TO_LOG)
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except OSError:
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# Log file could not be removed most likely because it does not exist, so this
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# exception can be ignored.
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pass
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def check_env_vars(self):
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'''Check if all necessary enivornment variables have been set.'''
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if 'DOCKER_PASSWORD' not in os.environ:
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exit('DOCKER_PASSWORD environment variable not set')
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if 'TARGET_HOST' not in os.environ:
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exit('TARGET_HOST environment variable not set')
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if 'TARGET_HOST_USERNAME' not in os.environ:
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exit('TARGET_HOST_USERNAME environment variable not set')
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if 'DOCKER_IMAGE_NAME' not in os.environ:
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exit('DOCKER_IMAGE_NAME environment variable not set')
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def start_new_jobs(self):
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'''Check the schedule directory for new items. If a new item is present, start a new
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job (if maximum concurrency level has not been reached). Each job gets it's own
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thread.
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'''
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finished_jobs = set(os.listdir(PATH_TO_FINISHED_JOBS))
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for job_id in os.listdir(PATH_TO_SCHEDULE):
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# If schedule item is not already running, start running it
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if job_id not in self.schedule_items and job_id not in finished_jobs and len(
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self.schedule_items) < MAX_CONCURRENCY:
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with open(os.path.join(PATH_TO_SCHEDULE, job_id), 'r') as f:
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schedule_item = pickle.load(f)
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job = schedule_item.generate_job()
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thread = Thread(target = job.start, name = job_id)
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thread.daemon = True
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LOG.info('Created Job Thread: {0}'.format(job_id))
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self.schedule_items[job_id] = thread
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thread.start()
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sleep(SLEEP_LENGTH)
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def generate_schedule_item(self):
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'''Generate a default schedule_item. This method should normally be called every few
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hours.
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'''
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if self.should_generate_new_item():
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profile = ImpalaNestedTypesProfile() if NESTED_TYPES_MODE else DefaultProfile()
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schedule_item = ScheduleItem(
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run_name = '{0}-{1}'.format(strftime(
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"%Y-%b-%d-%H:%M:%S", localtime()), DEFAULT_RUN_NAME),
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query_profile=profile,
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time_limit_sec=RUN_TIME_LIMIT)
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schedule_item.save_pickle()
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self.time_last_generated = time.time()
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LOG.info('Generated Schedule Item')
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sleep(2)
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def should_generate_new_item(self):
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'''Returns true if a new item should be generated.
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'''
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return time.time() - self.time_last_generated > GENERATION_FREQUENCY
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def run(self):
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'''Main method for the Controller class. Keeps track of how many threads are alive,
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generates new schedule items and starts running new jobs.
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'''
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while True:
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self.schedule_items = dict([(run_id, thread) for run_id, thread
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in self.schedule_items.items() if self.schedule_items[run_id].isAlive()])
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LOG.info('Number of Active Threads: {0}'.format(len(self.schedule_items)))
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self.generate_schedule_item()
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self.start_new_jobs()
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sleep(SLEEP_LENGTH)
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if __name__ == '__main__':
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controller = Controller()
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logging.basicConfig(level=logging.DEBUG,
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filename=PATH_TO_LOG,
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format='%(asctime)s %(threadName)s:%(module)s[%(lineno)s]:%(message)s',
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datefmt='%H:%M:%S')
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controller.run()
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