fork of https://github.com/oxigraph/rocksdb and https://github.com/facebook/rocksdb for nextgraph and oxigraph
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237 lines
10 KiB
237 lines
10 KiB
# Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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# This source code is licensed under both the GPLv2 (found in the
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# COPYING file in the root directory) and Apache 2.0 License
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# (found in the LICENSE.Apache file in the root directory).
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import shutil
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import subprocess
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import time
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from advisor.bench_runner import BenchmarkRunner
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from advisor.db_log_parser import DatabaseLogs, DataSource, NO_COL_FAMILY
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from advisor.db_stats_fetcher import (
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DatabasePerfContext,
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LogStatsParser,
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OdsStatsFetcher,
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)
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"""
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NOTE: This is not thread-safe, because the output file is simply overwritten.
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"""
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class DBBenchRunner(BenchmarkRunner):
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OUTPUT_FILE = "temp/dbbench_out.tmp"
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ERROR_FILE = "temp/dbbench_err.tmp"
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DB_PATH = "DB path"
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THROUGHPUT = "ops/sec"
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PERF_CON = " PERF_CONTEXT:"
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@staticmethod
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def is_metric_better(new_metric, old_metric):
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# for db_bench 'throughput' is the metric returned by run_experiment
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return new_metric >= old_metric
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@staticmethod
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def get_opt_args_str(misc_options_dict):
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# given a dictionary of options and their values, return a string
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# that can be appended as command-line arguments
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optional_args_str = ""
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for option_name, option_value in misc_options_dict.items():
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if option_value:
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optional_args_str += " --" + option_name + "=" + str(option_value)
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return optional_args_str
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def __init__(self, positional_args, ods_args=None):
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# parse positional_args list appropriately
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self.db_bench_binary = positional_args[0]
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self.benchmark = positional_args[1]
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self.db_bench_args = None
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if len(positional_args) > 2:
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# options list with each option given as "<option>=<value>"
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self.db_bench_args = positional_args[2:]
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# save ods_args, if provided
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self.ods_args = ods_args
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def _parse_output(self, get_perf_context=False):
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"""
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Sample db_bench output after running 'readwhilewriting' benchmark:
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DB path: [/tmp/rocksdbtest-155919/dbbench]\n
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readwhilewriting : 16.582 micros/op 60305 ops/sec; 4.2 MB/s (3433828\
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of 5427999 found)\n
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PERF_CONTEXT:\n
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user_key_comparison_count = 500466712, block_cache_hit_count = ...\n
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"""
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output = {self.THROUGHPUT: None, self.DB_PATH: None, self.PERF_CON: None}
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perf_context_begins = False
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with open(self.OUTPUT_FILE, "r") as fp:
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for line in fp:
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if line.startswith(self.benchmark):
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# line from sample output:
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# readwhilewriting : 16.582 micros/op 60305 ops/sec; \
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# 4.2 MB/s (3433828 of 5427999 found)\n
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print(line) # print output of the benchmark run
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token_list = line.strip().split()
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for ix, token in enumerate(token_list):
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if token.startswith(self.THROUGHPUT):
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# in above example, throughput = 60305 ops/sec
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output[self.THROUGHPUT] = float(token_list[ix - 1])
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break
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elif get_perf_context and line.startswith(self.PERF_CON):
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# the following lines in the output contain perf context
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# statistics (refer example above)
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perf_context_begins = True
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elif get_perf_context and perf_context_begins:
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# Sample perf_context output:
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# user_key_comparison_count = 500, block_cache_hit_count =\
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# 468, block_read_count = 580, block_read_byte = 445, ...
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token_list = line.strip().split(",")
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# token_list = ['user_key_comparison_count = 500',
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# 'block_cache_hit_count = 468','block_read_count = 580'...
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perf_context = {
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tk.split("=")[0].strip(): tk.split("=")[1].strip()
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for tk in token_list
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if tk
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}
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# TODO(poojam23): this is a hack and should be replaced
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# with the timestamp that db_bench will provide per printed
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# perf_context
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timestamp = int(time.time())
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perf_context_ts = {}
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for stat in perf_context.keys():
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perf_context_ts[stat] = {timestamp: int(perf_context[stat])}
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output[self.PERF_CON] = perf_context_ts
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perf_context_begins = False
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elif line.startswith(self.DB_PATH):
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# line from sample output:
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# DB path: [/tmp/rocksdbtest-155919/dbbench]\n
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output[self.DB_PATH] = line.split("[")[1].split("]")[0]
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return output
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def get_log_options(self, db_options, db_path):
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# get the location of the LOG file and the frequency at which stats are
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# dumped in the LOG file
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log_dir_path = None
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stats_freq_sec = None
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logs_file_prefix = None
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# fetch frequency at which the stats are dumped in the Rocksdb logs
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dump_period = "DBOptions.stats_dump_period_sec"
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# fetch the directory, if specified, in which the Rocksdb logs are
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# dumped, by default logs are dumped in same location as database
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log_dir = "DBOptions.db_log_dir"
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log_options = db_options.get_options([dump_period, log_dir])
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if dump_period in log_options:
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stats_freq_sec = int(log_options[dump_period][NO_COL_FAMILY])
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if log_dir in log_options:
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log_dir_path = log_options[log_dir][NO_COL_FAMILY]
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log_file_name = DBBenchRunner.get_info_log_file_name(log_dir_path, db_path)
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if not log_dir_path:
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log_dir_path = db_path
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if not log_dir_path.endswith("/"):
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log_dir_path += "/"
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logs_file_prefix = log_dir_path + log_file_name
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return (logs_file_prefix, stats_freq_sec)
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def _get_options_command_line_args_str(self, curr_options):
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"""
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This method uses the provided Rocksdb OPTIONS to create a string of
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command-line arguments for db_bench.
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The --options_file argument is always given and the options that are
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not supported by the OPTIONS file are given as separate arguments.
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"""
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optional_args_str = DBBenchRunner.get_opt_args_str(
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curr_options.get_misc_options()
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)
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# generate an options configuration file
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options_file = curr_options.generate_options_config(nonce="12345")
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optional_args_str += " --options_file=" + options_file
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return optional_args_str
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def _setup_db_before_experiment(self, curr_options, db_path):
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# remove destination directory if it already exists
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try:
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shutil.rmtree(db_path, ignore_errors=True)
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except OSError as e:
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print("Error: rmdir " + e.filename + " " + e.strerror)
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# setup database with a million keys using the fillrandom benchmark
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command = "%s --benchmarks=fillrandom --db=%s --num=1000000" % (
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self.db_bench_binary,
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db_path,
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)
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args_str = self._get_options_command_line_args_str(curr_options)
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command += args_str
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self._run_command(command)
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def _build_experiment_command(self, curr_options, db_path):
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command = "%s --benchmarks=%s --statistics --perf_level=3 --db=%s" % (
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self.db_bench_binary,
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self.benchmark,
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db_path,
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)
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# fetch the command-line arguments string for providing Rocksdb options
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args_str = self._get_options_command_line_args_str(curr_options)
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# handle the command-line args passed in the constructor, these
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# arguments are specific to db_bench
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for cmd_line_arg in self.db_bench_args:
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args_str += " --" + cmd_line_arg
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command += args_str
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return command
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def _run_command(self, command):
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out_file = open(self.OUTPUT_FILE, "w+")
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err_file = open(self.ERROR_FILE, "w+")
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print("executing... - " + command)
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subprocess.call(command, shell=True, stdout=out_file, stderr=err_file)
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out_file.close()
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err_file.close()
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def run_experiment(self, db_options, db_path):
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# setup the Rocksdb database before running experiment
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self._setup_db_before_experiment(db_options, db_path)
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# get the command to run the experiment
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command = self._build_experiment_command(db_options, db_path)
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experiment_start_time = int(time.time())
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# run experiment
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self._run_command(command)
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experiment_end_time = int(time.time())
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# parse the db_bench experiment output
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parsed_output = self._parse_output(get_perf_context=True)
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# get the log files path prefix and frequency at which Rocksdb stats
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# are dumped in the logs
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logs_file_prefix, stats_freq_sec = self.get_log_options(
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db_options, parsed_output[self.DB_PATH]
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)
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# create the Rocksbd LOGS object
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db_logs = DatabaseLogs(logs_file_prefix, db_options.get_column_families())
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# Create the Log STATS object
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db_log_stats = LogStatsParser(logs_file_prefix, stats_freq_sec)
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# Create the PerfContext STATS object
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db_perf_context = DatabasePerfContext(parsed_output[self.PERF_CON], 0, False)
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# create the data-sources dictionary
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data_sources = {
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DataSource.Type.DB_OPTIONS: [db_options],
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DataSource.Type.LOG: [db_logs],
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DataSource.Type.TIME_SERIES: [db_log_stats, db_perf_context],
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}
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# Create the ODS STATS object
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if self.ods_args:
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key_prefix = ""
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if "key_prefix" in self.ods_args:
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key_prefix = self.ods_args["key_prefix"]
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data_sources[DataSource.Type.TIME_SERIES].append(
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OdsStatsFetcher(
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self.ods_args["client_script"],
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self.ods_args["entity"],
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experiment_start_time,
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experiment_end_time,
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key_prefix,
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)
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)
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# return the experiment's data-sources and throughput
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return data_sources, parsed_output[self.THROUGHPUT]
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