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mongo/buildscripts/cost_model/start.py
2022-07-05 09:31:30 +00:00

82 lines
3.3 KiB
Python

# Copyright (C) 2022-present MongoDB, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the Server Side Public License, version 1,
# as published by MongoDB, Inc.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# Server Side Public License for more details.
#
# You should have received a copy of the Server Side Public License
# along with this program. If not, see
# <http://www.mongodb.com/licensing/server-side-public-license>.
#
# As a special exception, the copyright holders give permission to link the
# code of portions of this program with the OpenSSL library under certain
# conditions as described in each individual source file and distribute
# linked combinations including the program with the OpenSSL library. You
# must comply with the Server Side Public License in all respects for
# all of the code used other than as permitted herein. If you modify file(s)
# with this exception, you may extend this exception to your version of the
# file(s), but you are not obligated to do so. If you do not wish to do so,
# delete this exception statement from your version. If you delete this
# exception statement from all source files in the program, then also delete
# it in the license file.
#
"""Cost Model Calibrator entry point."""
import os
import json
from data_generator import DataGenerator
from database_instance import DatabaseInstance
from config import Config
import abt_calibrator
import workload_execution
__all__ = []
def main():
"""Entry point function."""
script_directory = os.path.abspath(os.path.dirname(__file__))
os.chdir(script_directory)
with open("config.json") as config_file:
config = Config.create(json.load(config_file))
# 1. Database Instance provides connectivity to a MongoDB instance, it loads data optionally
# from the dump on creating and stores data optionally to the dump on closing.
with DatabaseInstance(config.database) as database:
# 2. Data generation (optional), generates random data and populates collections with it.
generator = DataGenerator(database, config.data_generator)
generator.populate_collections()
collection_names = list(generator.list_collection_names())
# 3. Collecting data for calibration (optional).
# It runs the pipelines and stores explains to the database.
pipelines = [
[{'$match': {'f_5': 7}}],
[{'$match': {'f_1': 5}}],
[{'$match': {'f_7': 4}}],
[{'$match': {'f_5': 7}}],
[{'$match': {'f_1': 5}}],
[{'$match': {'f_2': generator.gen_random_string()}}],
[{'$match': {'f_5': generator.gen_random_string()}}],
]
workload_execution.execute(database, config.workload_execution, collection_names, pipelines)
# Calibration phase (optional).
# Reads the explains stored on the previous step (this run and/or previous runs),
# aparses the explains, nd calibrates the cost model for the ABT nodes.
models = abt_calibrator.calibrate(config.abt_calibrator, database, ['IndexScan', 'Seek'])
for abt, model in models.items():
print(abt)
print(model)
if __name__ == '__main__':
main()