mirror of https://github.com/facebook/rocksdb.git
127 lines
5.7 KiB
Python
127 lines
5.7 KiB
Python
# Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
|
|
# This source code is licensed under both the GPLv2 (found in the
|
|
# COPYING file in the root directory) and Apache 2.0 License
|
|
# (found in the LICENSE.Apache file in the root directory).
|
|
|
|
from advisor.db_stats_fetcher import LogStatsParser, DatabasePerfContext
|
|
from advisor.db_timeseries_parser import NO_ENTITY
|
|
from advisor.rule_parser import Condition, TimeSeriesCondition
|
|
import os
|
|
import time
|
|
import unittest
|
|
from unittest.mock import MagicMock
|
|
|
|
|
|
class TestLogStatsParser(unittest.TestCase):
|
|
def setUp(self):
|
|
this_path = os.path.abspath(os.path.dirname(__file__))
|
|
stats_file = os.path.join(
|
|
this_path, 'input_files/log_stats_parser_keys_ts'
|
|
)
|
|
# populate the keys_ts dictionary of LogStatsParser
|
|
self.stats_dict = {NO_ENTITY: {}}
|
|
with open(stats_file, 'r') as fp:
|
|
for line in fp:
|
|
stat_name = line.split(':')[0].strip()
|
|
self.stats_dict[NO_ENTITY][stat_name] = {}
|
|
token_list = line.split(':')[1].strip().split(',')
|
|
for token in token_list:
|
|
timestamp = int(token.split()[0])
|
|
value = float(token.split()[1])
|
|
self.stats_dict[NO_ENTITY][stat_name][timestamp] = value
|
|
self.log_stats_parser = LogStatsParser('dummy_log_file', 20)
|
|
self.log_stats_parser.keys_ts = self.stats_dict
|
|
|
|
def test_check_and_trigger_conditions_bursty(self):
|
|
# mock fetch_timeseries() because 'keys_ts' has been pre-populated
|
|
self.log_stats_parser.fetch_timeseries = MagicMock()
|
|
# condition: bursty
|
|
cond1 = Condition('cond-1')
|
|
cond1 = TimeSeriesCondition.create(cond1)
|
|
cond1.set_parameter('keys', 'rocksdb.db.get.micros.p50')
|
|
cond1.set_parameter('behavior', 'bursty')
|
|
cond1.set_parameter('window_sec', 40)
|
|
cond1.set_parameter('rate_threshold', 0)
|
|
self.log_stats_parser.check_and_trigger_conditions([cond1])
|
|
expected_cond_trigger = {
|
|
NO_ENTITY: {1530896440: 0.9767546362322214}
|
|
}
|
|
self.assertDictEqual(expected_cond_trigger, cond1.get_trigger())
|
|
# ensure that fetch_timeseries() was called once
|
|
self.log_stats_parser.fetch_timeseries.assert_called_once()
|
|
|
|
def test_check_and_trigger_conditions_eval_agg(self):
|
|
# mock fetch_timeseries() because 'keys_ts' has been pre-populated
|
|
self.log_stats_parser.fetch_timeseries = MagicMock()
|
|
# condition: evaluate_expression
|
|
cond1 = Condition('cond-1')
|
|
cond1 = TimeSeriesCondition.create(cond1)
|
|
cond1.set_parameter('keys', 'rocksdb.db.get.micros.p50')
|
|
cond1.set_parameter('behavior', 'evaluate_expression')
|
|
keys = [
|
|
'rocksdb.manifest.file.sync.micros.p99',
|
|
'rocksdb.db.get.micros.p50'
|
|
]
|
|
cond1.set_parameter('keys', keys)
|
|
cond1.set_parameter('aggregation_op', 'latest')
|
|
# condition evaluates to FALSE
|
|
cond1.set_parameter('evaluate', 'keys[0]-(keys[1]*100)>200')
|
|
self.log_stats_parser.check_and_trigger_conditions([cond1])
|
|
expected_cond_trigger = {NO_ENTITY: [1792.0, 15.9638]}
|
|
self.assertIsNone(cond1.get_trigger())
|
|
# condition evaluates to TRUE
|
|
cond1.set_parameter('evaluate', 'keys[0]-(keys[1]*100)<200')
|
|
self.log_stats_parser.check_and_trigger_conditions([cond1])
|
|
expected_cond_trigger = {NO_ENTITY: [1792.0, 15.9638]}
|
|
self.assertDictEqual(expected_cond_trigger, cond1.get_trigger())
|
|
# ensure that fetch_timeseries() was called
|
|
self.log_stats_parser.fetch_timeseries.assert_called()
|
|
|
|
def test_check_and_trigger_conditions_eval(self):
|
|
# mock fetch_timeseries() because 'keys_ts' has been pre-populated
|
|
self.log_stats_parser.fetch_timeseries = MagicMock()
|
|
# condition: evaluate_expression
|
|
cond1 = Condition('cond-1')
|
|
cond1 = TimeSeriesCondition.create(cond1)
|
|
cond1.set_parameter('keys', 'rocksdb.db.get.micros.p50')
|
|
cond1.set_parameter('behavior', 'evaluate_expression')
|
|
keys = [
|
|
'rocksdb.manifest.file.sync.micros.p99',
|
|
'rocksdb.db.get.micros.p50'
|
|
]
|
|
cond1.set_parameter('keys', keys)
|
|
cond1.set_parameter('evaluate', 'keys[0]-(keys[1]*100)>500')
|
|
self.log_stats_parser.check_and_trigger_conditions([cond1])
|
|
expected_trigger = {NO_ENTITY: {
|
|
1530896414: [9938.0, 16.31508],
|
|
1530896440: [9938.0, 16.346602],
|
|
1530896466: [9938.0, 16.284669],
|
|
1530896492: [9938.0, 16.16005]
|
|
}}
|
|
self.assertDictEqual(expected_trigger, cond1.get_trigger())
|
|
self.log_stats_parser.fetch_timeseries.assert_called_once()
|
|
|
|
|
|
class TestDatabasePerfContext(unittest.TestCase):
|
|
def test_unaccumulate_metrics(self):
|
|
perf_dict = {
|
|
"user_key_comparison_count": 675903942,
|
|
"block_cache_hit_count": 830086,
|
|
}
|
|
timestamp = int(time.time())
|
|
perf_ts = {}
|
|
for key in perf_dict:
|
|
perf_ts[key] = {}
|
|
start_val = perf_dict[key]
|
|
for ix in range(5):
|
|
perf_ts[key][timestamp+(ix*10)] = start_val + (2 * ix * ix)
|
|
db_perf_context = DatabasePerfContext(perf_ts, 10, True)
|
|
timestamps = [timestamp+(ix*10) for ix in range(1, 5, 1)]
|
|
values = [val for val in range(2, 15, 4)]
|
|
inner_dict = {timestamps[ix]: values[ix] for ix in range(4)}
|
|
expected_keys_ts = {NO_ENTITY: {
|
|
'user_key_comparison_count': inner_dict,
|
|
'block_cache_hit_count': inner_dict
|
|
}}
|
|
self.assertDictEqual(expected_keys_ts, db_perf_context.keys_ts)
|