Optimizer's skeleton: use advisor to optimize config options (#4169)

Summary:
In https://github.com/facebook/rocksdb/pull/3934 we introduced advisor scripts that make suggestions in the config options based on the log file and stats from a run of rocksdb. The optimizer runs the advisor on a benchmark application in a loop and automatically applies the suggested changes until the config options are optimized. This is a work in progress and the patch is the initial skeleton for the optimizer. The sample application that is run in the loop is currently dbbench.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4169

Reviewed By: maysamyabandeh

Differential Revision: D9023671

Pulled By: poojam23

fbshipit-source-id: a6192d475c462cf6eb2b316716f97cb400fcb64d

tools/advisor/advisor/bench_runner.py

@@ -0,0 +1,39 @@
+# 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 abc import ABC, abstractmethod
+import re
+
+
+class BenchmarkRunner(ABC):
+    @staticmethod
+    @abstractmethod
+    def is_metric_better(new_metric, old_metric):
+        pass
+
+    @abstractmethod
+    def run_experiment(self):
+        # should return a list of DataSource objects
+        pass
+
+    @staticmethod
+    def get_info_log_file_name(log_dir, db_path):
+        # Example: DB Path = /dev/shm and OPTIONS file has option
+        # db_log_dir=/tmp/rocks/, then the name of the log file will be
+        # 'dev_shm_LOG' and its location will be /tmp/rocks. If db_log_dir is
+        # not specified in the OPTIONS file, then the location of the log file
+        # will be /dev/shm and the name of the file will be 'LOG'
+        file_name = ''
+        if log_dir:
+            # refer GetInfoLogPrefix() in rocksdb/util/filename.cc
+            # example db_path: /dev/shm/dbbench
+            file_name = db_path[1:]  # to ignore the leading '/' character
+            to_be_replaced = re.compile('[^0-9a-zA-Z\-_\.]')
+            for character in to_be_replaced.findall(db_path):
+                file_name = file_name.replace(character, '_')
+            if not file_name.endswith('_'):
+                file_name += '_'
+        file_name += 'LOG'
+        return file_name

tools/advisor/advisor/config_optimizer_example.py

@@ -0,0 +1,134 @@
+# 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).
+
+import argparse
+from advisor.db_config_optimizer import ConfigOptimizer
+from advisor.db_log_parser import NO_COL_FAMILY
+from advisor.db_options_parser import DatabaseOptions
+from advisor.rule_parser import RulesSpec
+
+
+CONFIG_OPT_NUM_ITER = 10
+
+
+def main(args):
+    # initialise the RulesSpec parser
+    rule_spec_parser = RulesSpec(args.rules_spec)
+    # initialise the benchmark runner
+    bench_runner_module = __import__(
+        args.benchrunner_module, fromlist=[args.benchrunner_class]
+    )
+    bench_runner_class = getattr(bench_runner_module, args.benchrunner_class)
+    ods_args = {}
+    if args.ods_client and args.ods_entity:
+        ods_args['client_script'] = args.ods_client
+        ods_args['entity'] = args.ods_entity
+        if args.ods_key_prefix:
+            ods_args['key_prefix'] = args.ods_key_prefix
+    db_bench_runner = bench_runner_class(args.benchrunner_pos_args, ods_args)
+    # initialise the database configuration
+    db_options = DatabaseOptions(args.rocksdb_options, args.misc_options)
+    # set the frequency at which stats are dumped in the LOG file and the
+    # location of the LOG file.
+    db_log_dump_settings = {
+        "DBOptions.stats_dump_period_sec": {
+            NO_COL_FAMILY: args.stats_dump_period_sec
+        }
+    }
+    db_options.update_options(db_log_dump_settings)
+    # initialise the configuration optimizer
+    config_optimizer = ConfigOptimizer(
+        db_bench_runner,
+        db_options,
+        rule_spec_parser,
+        args.base_db_path
+    )
+    # run the optimiser to improve the database configuration for given
+    # benchmarks, with the help of expert-specified rules
+    final_db_options = config_optimizer.run()
+    # generate the final rocksdb options file
+    print(
+        'Final configuration in: ' +
+        final_db_options.generate_options_config('final')
+    )
+    print(
+        'Final miscellaneous options: ' +
+        repr(final_db_options.get_misc_options())
+    )
+
+
+if __name__ == '__main__':
+    '''
+    An example run of this tool from the command-line would look like:
+    python3 -m advisor.config_optimizer_example
+    --base_db_path=/tmp/rocksdbtest-155919/dbbench
+    --rocksdb_options=temp/OPTIONS_boot.tmp --misc_options bloom_bits=2
+    --rules_spec=advisor/rules.ini --stats_dump_period_sec=20
+    --benchrunner_module=advisor.db_bench_runner
+    --benchrunner_class=DBBenchRunner --benchrunner_pos_args ./../../db_bench
+    readwhilewriting use_existing_db=true duration=90
+    '''
+    parser = argparse.ArgumentParser(description='This script is used for\
+        searching for a better database configuration')
+    parser.add_argument(
+        '--rocksdb_options', required=True, type=str,
+        help='path of the starting Rocksdb OPTIONS file'
+    )
+    # these are options that are column-family agnostic and are not yet
+    # supported by the Rocksdb Options file: eg. bloom_bits=2
+    parser.add_argument(
+        '--base_db_path', required=True, type=str,
+        help='path for the Rocksdb database'
+    )
+    parser.add_argument(
+        '--misc_options', nargs='*',
+        help='whitespace-separated list of options that are not supported ' +
+        'by the Rocksdb OPTIONS file, given in the ' +
+        '<option_name>=<option_value> format eg. "bloom_bits=2 ' +
+        'rate_limiter_bytes_per_sec=128000000"')
+    parser.add_argument(
+        '--rules_spec', required=True, type=str,
+        help='path of the file containing the expert-specified Rules'
+    )
+    parser.add_argument(
+        '--stats_dump_period_sec', required=True, type=int,
+        help='the frequency (in seconds) at which STATISTICS are printed to ' +
+        'the Rocksdb LOG file'
+    )
+    # ODS arguments
+    parser.add_argument(
+        '--ods_client', type=str, help='the ODS client binary'
+    )
+    parser.add_argument(
+        '--ods_entity', type=str,
+        help='the servers for which the ODS stats need to be fetched'
+    )
+    parser.add_argument(
+        '--ods_key_prefix', type=str,
+        help='the prefix that needs to be attached to the keys of time ' +
+        'series to be fetched from ODS'
+    )
+    # benchrunner_module example: advisor.db_benchmark_client
+    parser.add_argument(
+        '--benchrunner_module', required=True, type=str,
+        help='the module containing the BenchmarkRunner class to be used by ' +
+        'the Optimizer, example: advisor.db_bench_runner'
+    )
+    # benchrunner_class example: DBBenchRunner
+    parser.add_argument(
+        '--benchrunner_class', required=True, type=str,
+        help='the name of the BenchmarkRunner class to be used by the ' +
+        'Optimizer, should be present in the module provided in the ' +
+        'benchrunner_module argument, example: DBBenchRunner'
+    )
+    parser.add_argument(
+        '--benchrunner_pos_args', nargs='*',
+        help='whitespace-separated positional arguments that are passed on ' +
+        'to the constructor of the BenchmarkRunner class provided in the ' +
+        'benchrunner_class argument, example: "use_existing_db=true ' +
+        'duration=900"'
+    )
+    args = parser.parse_args()
+    main(args)

tools/advisor/advisor/db_bench_runner.py

@@ -0,0 +1,312 @@
+from advisor.bench_runner import BenchmarkRunner
+from advisor.db_log_parser import DataSource, DatabaseLogs, NO_COL_FAMILY
+from advisor.db_options_parser import DatabaseOptions
+from advisor.db_stats_fetcher import (
+    LogStatsParser, OdsStatsFetcher, DatabasePerfContext
+)
+import os
+import re
+import shutil
+import subprocess
+import time
+
+
+'''
+NOTE: This is not thread-safe, because the output file is simply overwritten.
+'''
+
+
+class DBBenchRunner(BenchmarkRunner):
+    OUTPUT_FILE = "temp/dbbench_out.tmp"
+    ERROR_FILE = "temp/dbbench_err.tmp"
+    DB_PATH = "DB path"
+    THROUGHPUT = "ops/sec"
+    PERF_CON = " PERF_CONTEXT:"
+
+    @staticmethod
+    def is_metric_better(new_metric, old_metric):
+        # for db_bench 'throughput' is the metric returned by run_experiment
+        return new_metric >= old_metric
+
+    @staticmethod
+    def get_opt_args_str(misc_options_dict):
+        optional_args_str = ""
+        for option_name, option_value in misc_options_dict.items():
+            if option_value:
+                optional_args_str += (
+                    " --" + option_name + "=" + str(option_value)
+                )
+        return optional_args_str
+
+    def __init__(self, positional_args, ods_args=None):
+        # parse positional_args list appropriately
+        self.db_bench_binary = positional_args[0]
+        self.benchmark = positional_args[1]
+        self.db_bench_args = None
+        # TODO(poojam23): move to unittest with method get_available_workloads
+        self.supported_benchmarks = None
+        if len(positional_args) > 2:
+            # options list with each option given as "<option>=<value>"
+            self.db_bench_args = positional_args[2:]
+        # save ods_args if provided
+        self.ods_args = ods_args
+
+    def _parse_output(self, get_perf_context=False):
+        '''
+        Sample db_bench output after running 'readwhilewriting' benchmark:
+        DB path: [/tmp/rocksdbtest-155919/dbbench]\n
+        readwhilewriting : 16.582 micros/op 60305 ops/sec; 4.2 MB/s (3433828\
+        of 5427999 found)\n
+        PERF_CONTEXT:\n
+        user_key_comparison_count = 500466712, block_cache_hit_count = ...\n
+        '''
+        output = {
+            self.THROUGHPUT: None, self.DB_PATH: None, self.PERF_CON: None
+        }
+        perf_context_begins = False
+        with open(self.OUTPUT_FILE, 'r') as fp:
+            for line in fp:
+                if line.startswith(self.benchmark):
+                    print(line)  # print output of db_bench run
+                    token_list = line.strip().split()
+                    for ix, token in enumerate(token_list):
+                        if token.startswith(self.THROUGHPUT):
+                            output[self.THROUGHPUT] = (
+                                float(token_list[ix - 1])
+                            )
+                            break
+                elif line.startswith(self.PERF_CON):
+                    perf_context_begins = True
+                elif get_perf_context and perf_context_begins:
+                    # Sample perf_context output:
+                    # user_key_comparison_count = 500, block_cache_hit_count =\
+                    # 468, block_read_count = 580, block_read_byte = 445, ...
+                    token_list = line.strip().split(',')
+                    perf_context = {
+                        tk.split('=')[0].strip(): tk.split('=')[1].strip()
+                        for tk in token_list
+                        if tk
+                    }
+                    # TODO(poojam23): this is a hack and should be replaced
+                    # with the timestamp that db_bench will provide per printed
+                    # perf_context
+                    timestamp = int(time.time())
+                    perf_context_ts = {}
+                    for stat in perf_context.keys():
+                        perf_context_ts[stat] = {
+                            timestamp: int(perf_context[stat])
+                        }
+                    output[self.PERF_CON] = perf_context_ts
+                    perf_context_begins = False
+                elif line.startswith(self.DB_PATH):
+                    output[self.DB_PATH] = (
+                        line.split('[')[1].split(']')[0]
+                    )
+        return output
+
+    def get_log_options(self, db_options, db_path):
+        # get the location of the LOG file and the frequency at which stats are
+        # dumped in the LOG file
+        log_dir_path = None
+        stats_freq_sec = None
+        logs_file_prefix = None
+
+        # fetch the options
+        dump_period = 'DBOptions.stats_dump_period_sec'
+        log_dir = 'DBOptions.db_log_dir'
+        log_options = db_options.get_options([dump_period, log_dir])
+        if dump_period in log_options:
+            stats_freq_sec = int(log_options[dump_period][NO_COL_FAMILY])
+        if log_dir in log_options:
+            log_dir_path = log_options[log_dir][NO_COL_FAMILY]
+
+        log_file_name = DBBenchRunner.get_info_log_file_name(
+            log_dir_path, db_path
+        )
+
+        if not log_dir_path:
+            log_dir_path = db_path
+        if not log_dir_path.endswith('/'):
+            log_dir_path += '/'
+
+        logs_file_prefix = log_dir_path + log_file_name
+        return (logs_file_prefix, stats_freq_sec)
+
+    def _get_options_command_line_args_str(self, curr_options):
+        '''
+        This method uses the provided Rocksdb OPTIONS to create a string of
+        command-line arguments for db_bench.
+        The --options_file argument is always given and the options that are
+        not supported by the OPTIONS file are given as separate arguments.
+        '''
+        optional_args_str = DBBenchRunner.get_opt_args_str(
+            curr_options.get_misc_options()
+        )
+        # generate an options configuration file
+        options_file = curr_options.generate_options_config(nonce='12345')
+        optional_args_str += " --options_file=" + options_file
+        return optional_args_str
+
+    def _setup_db_before_experiment(self, curr_options, db_path):
+        # remove destination directory if it already exists
+        try:
+            shutil.rmtree(db_path, ignore_errors=True)
+        except OSError as e:
+            print('Error: rmdir ' + e.filename + ' ' + e.strerror)
+        command = "%s --benchmarks=fillrandom --db=%s --num=1000000" % (
+            self.db_bench_binary, db_path
+        )
+        args_str = self._get_options_command_line_args_str(curr_options)
+        command += args_str
+        self._run_command(command)
+
+    def _build_experiment_command(self, curr_options, db_path):
+        command = "%s --benchmarks=%s --statistics --perf_level=3 --db=%s" % (
+            self.db_bench_binary, self.benchmark, db_path
+        )
+        args_str = self._get_options_command_line_args_str(curr_options)
+        # handle the command-line args passed in the constructor
+        for cmd_line_arg in self.db_bench_args:
+            args_str += (" --" + cmd_line_arg)
+        command += args_str
+        return command
+
+    def _run_command(self, command):
+        # run db_bench and return the
+        out_file = open(self.OUTPUT_FILE, "w+")
+        err_file = open(self.ERROR_FILE, "w+")
+        print('executing... - ' + command)
+        subprocess.call(command, shell=True, stdout=out_file, stderr=err_file)
+        out_file.close()
+        err_file.close()
+
+    def run_experiment(self, db_options, db_path):
+        # type: (List[str], str) -> str
+        self._setup_db_before_experiment(db_options, db_path)
+        command = self._build_experiment_command(db_options, db_path)
+        self._run_command(command)
+
+        parsed_output = self._parse_output(get_perf_context=True)
+
+        # Create the LOGS object
+        # get the log options from the OPTIONS file
+        logs_file_prefix, stats_freq_sec = self.get_log_options(
+            db_options, parsed_output[self.DB_PATH]
+        )
+        db_logs = DatabaseLogs(
+            logs_file_prefix, db_options.get_column_families()
+        )
+        # Create the Log STATS object
+        db_log_stats = LogStatsParser(logs_file_prefix, stats_freq_sec)
+        # Create the PerfContext STATS object
+        db_perf_context = DatabasePerfContext(
+            parsed_output[self.PERF_CON], 0, False
+        )
+        data_sources = {
+            DataSource.Type.DB_OPTIONS: [db_options],
+            DataSource.Type.LOG: [db_logs],
+            DataSource.Type.TIME_SERIES: [db_log_stats, db_perf_context]
+        }
+        # Create the ODS STATS object
+        if self.ods_args:
+            data_sources[DataSource.Type.TIME_SERIES].append(OdsStatsFetcher(
+                self.ods_args['client_script'],
+                self.ods_args['entity'],
+                self.ods_args['key_prefix']
+            ))
+        return data_sources, parsed_output[self.THROUGHPUT]
+
+    # TODO: this method is for testing, shift it out to unit-tests when ready
+    def get_available_workloads(self):
+        if not self.supported_benchmarks:
+            self.supported_benchmarks = []
+            command = '%s --help' % self.db_bench_binary
+            self._run_command(command)
+            with open(self.OUTPUT_FILE, 'r') as fp:
+                start = False
+                for line in fp:
+                    if re.search('available benchmarks', line, re.IGNORECASE):
+                        start = True
+                        continue
+                    elif start:
+                        if re.search('meta operations', line, re.IGNORECASE):
+                            break
+                        benchmark_info = line.strip()
+                        if benchmark_info:
+                            token_list = benchmark_info.split()
+                            if len(token_list) > 2 and token_list[1] == '--':
+                                self.supported_benchmarks.append(token_list[0])
+                    else:
+                        continue
+            self.supported_benchmarks = sorted(self.supported_benchmarks)
+        return self.supported_benchmarks
+
+
+# TODO: remove this method, used only for testing
+def main():
+    pos_args = [
+        '/home/poojamalik/workspace/rocksdb/db_bench',
+        'readwhilewriting',
+        'use_existing_db=true',
+        'duration=10'
+    ]
+    db_bench_helper = DBBenchRunner(pos_args)
+    # populate benchmarks with the available ones in the db_bench tool
+    benchmarks = db_bench_helper.get_available_workloads()
+    print(benchmarks)
+    print()
+    options_file = (
+        '/home/poojamalik/workspace/rocksdb/tools/advisor/temp/' +
+        'OPTIONS_temp.tmp'
+    )
+    misc_options = ["rate_limiter_bytes_per_sec=1024000", "bloom_bits=2"]
+    db_options = DatabaseOptions(options_file, misc_options)
+    data_sources, _ = db_bench_helper.run_experiment(db_options)
+    print(data_sources[DataSource.Type.DB_OPTIONS][0].options_dict)
+    print()
+    print(data_sources[DataSource.Type.LOG][0].logs_path_prefix)
+    if os.path.isfile(data_sources[DataSource.Type.LOG][0].logs_path_prefix):
+        print('log file exists!')
+    else:
+        print('error: log file does not exist!')
+    print(data_sources[DataSource.Type.LOG][0].column_families)
+    print()
+    print(data_sources[DataSource.Type.TIME_SERIES][0].logs_file_prefix)
+    if (
+        os.path.isfile(
+            data_sources[DataSource.Type.TIME_SERIES][0].logs_file_prefix
+        )
+    ):
+        print('log file exists!')
+    else:
+        print('error: log file does not exist!')
+    print(data_sources[DataSource.Type.TIME_SERIES][0].stats_freq_sec)
+    print(data_sources[DataSource.Type.TIME_SERIES][1].keys_ts)
+
+    db_options = DatabaseOptions(options_file, None)
+    data_sources, _ = db_bench_helper.run_experiment(db_options)
+    print(data_sources[DataSource.Type.DB_OPTIONS][0].options_dict)
+    print()
+    print(data_sources[DataSource.Type.LOG][0].logs_path_prefix)
+    if os.path.isfile(data_sources[DataSource.Type.LOG][0].logs_path_prefix):
+        print('log file exists!')
+    else:
+        print('error: log file does not exist!')
+    print(data_sources[DataSource.Type.LOG][0].column_families)
+    print()
+    print(data_sources[DataSource.Type.TIME_SERIES][0].logs_file_prefix)
+    if (
+        os.path.isfile(
+            data_sources[DataSource.Type.TIME_SERIES][0].logs_file_prefix
+        )
+    ):
+        print('log file exists!')
+    else:
+        print('error: log file does not exist!')
+    print(data_sources[DataSource.Type.TIME_SERIES][0].stats_freq_sec)
+    print(data_sources[DataSource.Type.TIME_SERIES][1].keys_ts)
+    print(data_sources[DataSource.Type.TIME_SERIES][1].stats_freq_sec)
+
+
+if __name__ == "__main__":
+    main()

tools/advisor/advisor/db_config_optimizer.py

@@ -0,0 +1,282 @@
+# 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_log_parser import NO_COL_FAMILY
+from advisor.db_options_parser import DatabaseOptions
+from advisor.rule_parser import Suggestion
+import copy
+import random
+
+
+class ConfigOptimizer:
+    SCOPE = 'scope'
+    SUGG_VAL = 'suggested values'
+
+    @staticmethod
+    def apply_action_on_value(old_value, action, suggested_values):
+        chosen_sugg_val = None
+        if suggested_values:
+            chosen_sugg_val = random.choice(list(suggested_values))
+        new_value = None
+        if action is Suggestion.Action.set or not old_value:
+            assert(chosen_sugg_val)
+            new_value = chosen_sugg_val
+        else:
+            # For increase/decrease actions, currently the code tries to make
+            # a 30% change in the option's value per iteration. An addend is
+            # also present (+1 or -1) to handle the cases when the option's
+            # old value was 0 or the final int() conversion suppressed the 30%
+            # change made to the option
+            old_value = float(old_value)
+            mul = 0
+            add = 0
+            if action is Suggestion.Action.increase:
+                if old_value < 0:
+                    mul = 0.7
+                    add = 2
+                else:
+                    mul = 1.3
+                    add = 2
+            elif action is Suggestion.Action.decrease:
+                if old_value < 0:
+                    mul = 1.3
+                    add = -2
+                else:
+                    mul = 0.7
+                    add = -2
+            new_value = int(old_value * mul + add)
+        return new_value
+
+    @staticmethod
+    def improve_db_config(options, rule, suggestions_dict):
+        # this method takes ONE 'rule' and applies all its suggestions on the
+        # appropriate options
+        required_options = []
+        rule_suggestions = []
+        for sugg_name in rule.get_suggestions():
+            option = suggestions_dict[sugg_name].option
+            action = suggestions_dict[sugg_name].action
+            # A Suggestion in the rules spec must have the 'option' and
+            # 'action' fields defined, always call perform_checks() method
+            # after parsing the rules file using RulesSpec
+            assert(option)
+            assert(action)
+            required_options.append(option)
+            rule_suggestions.append(suggestions_dict[sugg_name])
+        current_config = options.get_options(required_options)
+        # Create the updated configuration from the rule's suggestions
+        updated_config = {}
+        for sugg in rule_suggestions:
+            # case: when the option is not present in the current configuration
+            if sugg.option not in current_config:
+                try:
+                    new_value = ConfigOptimizer.apply_action_on_value(
+                        None, sugg.action, sugg.suggested_values
+                    )
+                    if sugg.option not in updated_config:
+                        updated_config[sugg.option] = {}
+                    if DatabaseOptions.is_misc_option(sugg.option):
+                        # this suggestion is on an option that is not yet
+                        # supported by the Rocksdb OPTIONS file and so it is
+                        # not prefixed by a section type.
+                        updated_config[sugg.option][NO_COL_FAMILY] = new_value
+                    else:
+                        for col_fam in rule.get_trigger_column_families():
+                            updated_config[sugg.option][col_fam] = new_value
+                except AssertionError:
+                    print(
+                        'WARNING(ConfigOptimizer): provide suggested_values ' +
+                        'for ' + sugg.option
+                    )
+                continue
+            # case: when the option is present in the current configuration
+            if NO_COL_FAMILY in current_config[sugg.option]:
+                old_value = current_config[sugg.option][NO_COL_FAMILY]
+                try:
+                    new_value = ConfigOptimizer.apply_action_on_value(
+                        old_value, sugg.action, sugg.suggested_values
+                    )
+                    if sugg.option not in updated_config:
+                        updated_config[sugg.option] = {}
+                    updated_config[sugg.option][NO_COL_FAMILY] = new_value
+                except AssertionError:
+                    print(
+                        'WARNING(ConfigOptimizer): provide suggested_values ' +
+                        'for ' + sugg.option
+                    )
+            else:
+                for col_fam in rule.get_trigger_column_families():
+                    old_value = None
+                    if col_fam in current_config[sugg.option]:
+                        old_value = current_config[sugg.option][col_fam]
+                    try:
+                        new_value = ConfigOptimizer.apply_action_on_value(
+                            old_value, sugg.action, sugg.suggested_values
+                        )
+                        if sugg.option not in updated_config:
+                            updated_config[sugg.option] = {}
+                        updated_config[sugg.option][col_fam] = new_value
+                    except AssertionError:
+                        print(
+                            'WARNING(ConfigOptimizer): provide ' +
+                            'suggested_values for ' + sugg.option
+                        )
+        return current_config, updated_config
+
+    @staticmethod
+    def pick_rule_to_apply(rules, last_rule_name, rules_tried, backtrack):
+        if not rules:
+            print('\nNo more rules triggered!')
+            return None
+        # if the last rule provided an improvement in the database performance,
+        # and it was triggered again (i.e. it is present in 'rules'), then pick
+        # the same rule for this iteration too.
+        if last_rule_name and not backtrack:
+            for rule in rules:
+                if rule.name == last_rule_name:
+                    return rule
+        # there was no previous rule OR the previous rule did not improve db
+        # performance OR it was not triggered for this iteration,
+        # then pick another rule that has not been tried yet
+        for rule in rules:
+            if rule.name not in rules_tried:
+                return rule
+        print('\nAll rules have been exhausted')
+        return None
+
+    @staticmethod
+    def apply_suggestions(
+        triggered_rules,
+        current_rule_name,
+        rules_tried,
+        backtrack,
+        curr_options,
+        suggestions_dict
+    ):
+        curr_rule = ConfigOptimizer.pick_rule_to_apply(
+            triggered_rules, current_rule_name, rules_tried, backtrack
+        )
+        if not curr_rule:
+            return tuple([None]*4)
+        # if a rule has been picked for improving db_config, update rules_tried
+        rules_tried.add(curr_rule.name)
+        # get updated config based on the picked rule
+        curr_conf, updated_conf = ConfigOptimizer.improve_db_config(
+            curr_options, curr_rule, suggestions_dict
+        )
+        conf_diff = DatabaseOptions.get_options_diff(curr_conf, updated_conf)
+        if not conf_diff:  # the current and updated configs are the same
+            curr_rule, rules_tried, curr_conf, updated_conf = (
+                ConfigOptimizer.apply_suggestions(
+                    triggered_rules,
+                    None,
+                    rules_tried,
+                    backtrack,
+                    curr_options,
+                    suggestions_dict
+                )
+            )
+        print('returning from apply_suggestions')
+        return (curr_rule, rules_tried, curr_conf, updated_conf)
+
+    # TODO(poojam23): check if this method is required or can we directly set
+    # the config equal to the curr_config
+    @staticmethod
+    def get_backtrack_config(curr_config, updated_config):
+        diff = DatabaseOptions.get_options_diff(curr_config, updated_config)
+        bt_config = {}
+        for option in diff:
+            bt_config[option] = {}
+            for col_fam in diff[option]:
+                bt_config[option][col_fam] = diff[option][col_fam][0]
+        print(bt_config)
+        return bt_config
+
+    def __init__(self, bench_runner, db_options, rule_parser, base_db):
+        self.bench_runner = bench_runner
+        self.db_options = db_options
+        self.rule_parser = rule_parser
+        self.base_db_path = base_db
+
+    def run(self):
+        # In every iteration of this method's optimization loop we pick ONE
+        # RULE from all the triggered rules and apply all its suggestions to
+        # the appropriate options.
+        # bootstrapping the optimizer
+        print('Bootstrapping optimizer:')
+        options = copy.deepcopy(self.db_options)
+        old_data_sources, old_metric = (
+            self.bench_runner.run_experiment(options, self.base_db_path)
+        )
+        print('Initial metric: ' + str(old_metric))
+        self.rule_parser.load_rules_from_spec()
+        self.rule_parser.perform_section_checks()
+        triggered_rules = self.rule_parser.get_triggered_rules(
+            old_data_sources, options.get_column_families()
+        )
+        print('\nTriggered:')
+        self.rule_parser.print_rules(triggered_rules)
+        backtrack = False
+        rules_tried = set()
+        curr_rule, rules_tried, curr_conf, updated_conf = (
+            ConfigOptimizer.apply_suggestions(
+                triggered_rules,
+                None,
+                rules_tried,
+                backtrack,
+                options,
+                self.rule_parser.get_suggestions_dict()
+            )
+        )
+        # the optimizer loop
+        while curr_rule:
+            print('\nRule picked for next iteration:')
+            print(curr_rule.name)
+            print('\ncurrent config:')
+            print(curr_conf)
+            print('updated config:')
+            print(updated_conf)
+            options.update_options(updated_conf)
+            # run bench_runner with updated config
+            new_data_sources, new_metric = (
+                self.bench_runner.run_experiment(options, self.base_db_path)
+            )
+            print('\nnew metric: ' + str(new_metric))
+            backtrack = not self.bench_runner.is_metric_better(
+                new_metric, old_metric
+            )
+            # update triggered_rules, metric, data_sources, if required
+            if backtrack:
+                # revert changes to options config
+                print('\nBacktracking to previous configuration')
+                backtrack_conf = ConfigOptimizer.get_backtrack_config(
+                    curr_conf, updated_conf
+                )
+                options.update_options(backtrack_conf)
+            else:
+                # run advisor on new data sources
+                self.rule_parser.load_rules_from_spec()  # reboot the advisor
+                self.rule_parser.perform_section_checks()
+                triggered_rules = self.rule_parser.get_triggered_rules(
+                    new_data_sources, options.get_column_families()
+                )
+                print('\nTriggered:')
+                self.rule_parser.print_rules(triggered_rules)
+                old_metric = new_metric
+                old_data_sources = new_data_sources
+                rules_tried = set()
+            # pick rule to work on and set curr_rule to that
+            curr_rule, rules_tried, curr_conf, updated_conf = (
+                ConfigOptimizer.apply_suggestions(
+                    triggered_rules,
+                    curr_rule.name,
+                    rules_tried,
+                    backtrack,
+                    options,
+                    self.rule_parser.get_suggestions_dict()
+                )
+            )
+        # return the final database options configuration
+        return options

tools/advisor/advisor/db_log_parser.py

@@ -4,18 +4,21 @@
 #  (found in the LICENSE.Apache file in the root directory).
 
 from abc import ABC, abstractmethod
+from calendar import timegm
+from enum import Enum
 import glob
 import re
-from enum import Enum
+import time
+
+
+NO_COL_FAMILY = 'DB_WIDE'
 
 
 class DataSource(ABC):
     class Type(Enum):
         LOG = 1
         DB_OPTIONS = 2
-        STATS = 3
-        PERF_CONTEXT = 4
-        ODS = 5
+        TIME_SERIES = 3
 
     def __init__(self, type):
         self.type = type
@@ -33,15 +36,30 @@ class Log:
         date_regex = '\d{4}/\d{2}/\d{2}-\d{2}:\d{2}:\d{2}\.\d{6}'
         return re.match(date_regex, log_line)
 
-    def __init__(self, log_line):
+    def __init__(self, log_line, column_families):
         token_list = log_line.strip().split()
         self.time = token_list[0]
         self.context = token_list[1]
         self.message = " ".join(token_list[2:])
+        self.column_family = None
+        # example log for 'default' column family:
+        # "2018/07/25-17:29:05.176080 7f969de68700 [db/compaction_job.cc:1634]
+        # [default] [JOB 3] Compacting 24@0 + 16@1 files to L1, score 6.00\n"
+        for col_fam in column_families:
+            search_for_str = '\[' + col_fam + '\]'
+            if re.search(search_for_str, self.message):
+                self.column_family = col_fam
+                break
+        if not self.column_family:
+            self.column_family = NO_COL_FAMILY
 
-    def get_time(self):
+    def get_human_readable_time(self):
+        # example from a log line: '2018/07/25-11:25:45.782710'
         return self.time
 
+    def get_column_family(self):
+        return self.column_family
+
     def get_context(self):
         return self.context
 
@@ -49,48 +67,65 @@ class Log:
         return self.message
 
     def append_message(self, remaining_log):
-        self.message = self.message + remaining_log
+        self.message = self.message + '\n' + remaining_log.strip()
+
+    def get_timestamp(self):
+        # example: '2018/07/25-11:25:45.782710' will be converted to the GMT
+        # Unix timestamp 1532517945 (note: this method assumes that self.time
+        # is in GMT)
+        hr_time = self.time + 'GMT'
+        timestamp = timegm(time.strptime(hr_time, "%Y/%m/%d-%H:%M:%S.%f%Z"))
+        return timestamp
 
     def __repr__(self):
-        return 'time: ' + self.time + ', context: ' + self.context +\
-             ', message: ' + self.message
+        return (
+            'time: ' + self.time + '; context: ' + self.context +
+            '; col_fam: ' + self.column_family +
+            '; message: ' + self.message
+        )
 
 
 class DatabaseLogs(DataSource):
-    def __init__(self, logs_path_prefix):
+    def __init__(self, logs_path_prefix, column_families):
         super().__init__(DataSource.Type.LOG)
         self.logs_path_prefix = logs_path_prefix
+        self.column_families = column_families
 
-    def trigger_appropriate_conditions(self, conditions, log):
-        conditions_to_be_removed = []
+    def trigger_conditions_for_log(self, conditions, log):
+        # For a LogCondition object, trigger is:
+        # Dict[column_family_name, List[Log]]. This explains why the condition
+        # was triggered and for which column families.
         for cond in conditions:
             if re.search(cond.regex, log.get_message(), re.IGNORECASE):
-                cond.set_trigger(log)
-                conditions_to_be_removed.append(cond)
-        for remove_cond in conditions_to_be_removed:
-            conditions.remove(remove_cond)
-        return conditions
+                trigger = cond.get_trigger()
+                if not trigger:
+                    trigger = {}
+                if log.get_column_family() not in trigger:
+                    trigger[log.get_column_family()] = []
+                trigger[log.get_column_family()].append(log)
+                cond.set_trigger(trigger)
 
     def check_and_trigger_conditions(self, conditions):
         for file_name in glob.glob(self.logs_path_prefix + '*'):
+            # TODO(poojam23): find a way to distinguish between log files
+            # - generated in the current experiment but are labeled 'old'
+            # because they LOGs exceeded the file size limit  AND
+            # - generated in some previous experiment that are also labeled
+            # 'old' and were not deleted for some reason
+            if re.search('old', file_name, re.IGNORECASE):
+                continue
             with open(file_name, 'r') as db_logs:
                 new_log = None
                 for line in db_logs:
-                    if not conditions:
-                        break
                     if Log.is_new_log(line):
                         if new_log:
-                            conditions = self.trigger_appropriate_conditions(
-                                conditions,
-                                new_log
+                            self.trigger_conditions_for_log(
+                                conditions, new_log
                             )
-                        new_log = Log(line)
+                        new_log = Log(line, self.column_families)
                     else:
                         # To account for logs split into multiple lines
                         new_log.append_message(line)
             # Check for the last log in the file.
-            if new_log and conditions:
-                conditions = self.trigger_appropriate_conditions(
-                    conditions,
-                    new_log
-                )
+            if new_log:
+                self.trigger_conditions_for_log(conditions, new_log)

tools/advisor/advisor/db_options_parser.py

@@ -3,8 +3,11 @@
 #  COPYING file in the root directory) and Apache 2.0 License
 #  (found in the LICENSE.Apache file in the root directory).
 
-from advisor.db_log_parser import DataSource
+import copy
+from advisor.db_log_parser import DataSource, NO_COL_FAMILY
 from advisor.ini_parser import IniParser
+from advisor.rule_parser import Condition, OptionCondition
+import os
 
 
 class OptionsSpecParser(IniParser):
@@ -16,7 +19,8 @@ class OptionsSpecParser(IniParser):
     def get_section_type(line):
         '''
         Example section header: [TableOptions/BlockBasedTable "default"]
-        Here section_type returned would be 'TableOptions.BlockBasedTable'
+        Here ConfigurationOptimizer returned would be
+        'TableOptions.BlockBasedTable'
         '''
         section_path = line.strip()[1:-1].split()[0]
         section_type = '.'.join(section_path.split('/'))
@@ -29,79 +33,407 @@ class OptionsSpecParser(IniParser):
             return None
         return token_list[1]
 
+    @staticmethod
+    def get_section_str(section_type, section_name):
+        # Example:
+        # Case 1: get_section_str('DBOptions', NO_COL_FAMILY)
+        # Case 2: get_section_str('TableOptions.BlockBasedTable', 'default')
+        section_type = '/'.join(section_type.strip().split('.'))
+        # Case 1: section_type = 'DBOptions'
+        # Case 2: section_type = 'TableOptions/BlockBasedTable'
+        section_str = '[' + section_type
+        if section_name == NO_COL_FAMILY:
+            # Case 1: '[DBOptions]'
+            return (section_str + ']')
+        else:
+            # Case 2: '[TableOptions/BlockBasedTable "default"]'
+            return section_str + ' "' + section_name + '"]'
+
+    @staticmethod
+    def get_option_str(key, values):
+        option_str = key + '='
+        # get_option_str('db_log_dir', None), returns 'db_log_dir='
+        if values:
+            # example:
+            # get_option_str('max_bytes_for_level_multiplier_additional',
+            # [1,1,1,1,1,1,1]), returned string:
+            # 'max_bytes_for_level_multiplier_additional=1:1:1:1:1:1:1'
+            if isinstance(values, list):
+                for value in values:
+                    option_str += (str(value) + ':')
+                option_str = option_str[:-1]
+            else:
+                # example: get_option_str('write_buffer_size', 1048576)
+                # returned string: 'write_buffer_size=1048576'
+                option_str += str(values)
+        return option_str
+
 
 class DatabaseOptions(DataSource):
-    def __init__(self, rocksdb_options):
+
+    @staticmethod
+    def is_misc_option(option_name):
+        return '.' not in option_name
+
+    @staticmethod
+    def get_options_diff(opt_old, opt_new):
+        # type: Dict[option, Dict[col_fam, value]] X 2 ->
+        # Dict[option, Dict[col_fam, Tuple(old_value, new_value)]]
+        # note: diff should contain a tuple of values only if they are
+        # different from each other
+        options_union = set(opt_old.keys()).union(set(opt_new.keys()))
+        diff = {}
+        for opt in options_union:
+            diff[opt] = {}
+            # if option in options_union, then it must be in one of the configs
+            if opt not in opt_old:
+                for col_fam in opt_new[opt]:
+                    diff[opt][col_fam] = (None, opt_new[opt][col_fam])
+            elif opt not in opt_new:
+                for col_fam in opt_old[opt]:
+                    diff[opt][col_fam] = (opt_old[opt][col_fam], None)
+            else:
+                for col_fam in opt_old[opt]:
+                    if col_fam in opt_new[opt]:
+                        if opt_old[opt][col_fam] != opt_new[opt][col_fam]:
+                            diff[opt][col_fam] = (
+                                opt_old[opt][col_fam],
+                                opt_new[opt][col_fam]
+                            )
+                    else:
+                        diff[opt][col_fam] = (opt_old[opt][col_fam], None)
+                for col_fam in opt_new[opt]:
+                    if col_fam in opt_old[opt]:
+                        if opt_old[opt][col_fam] != opt_new[opt][col_fam]:
+                            diff[opt][col_fam] = (
+                                opt_old[opt][col_fam],
+                                opt_new[opt][col_fam]
+                            )
+                    else:
+                        diff[opt][col_fam] = (None, opt_new[opt][col_fam])
+            if not diff[opt]:
+                diff.pop(opt)
+        return diff
+
+    def __init__(self, rocksdb_options, misc_options=None):
         super().__init__(DataSource.Type.DB_OPTIONS)
-        self.options_path = rocksdb_options
-        # Load the options from the given file to a dictionary.
-        self.load_from_source()
+        # The options are stored in the following data structure:
+        # Dict[section_type, Dict[section_name, Dict[option_name, value]]]
         self.options_dict = None
         self.column_families = None
+        # Load the options from the given file to a dictionary.
+        self.load_from_source(rocksdb_options)
+        # Setup the miscellaneous options expected to be List[str], where each
+        # element in the List has the format "<option_name>=<option_value>"
+        # These options are the ones that are not yet supported by the Rocksdb
+        # OPTIONS file, so they are provided separately
+        self.setup_misc_options(misc_options)
+
+    def setup_misc_options(self, misc_options):
+        self.misc_options = {}
+        if misc_options:
+            for option_pair_str in misc_options:
+                option_name = option_pair_str.split('=')[0].strip()
+                option_value = option_pair_str.split('=')[1].strip()
+                self.misc_options[option_name] = option_value
 
-    def load_from_source(self):
+    def load_from_source(self, options_path):
         self.options_dict = {}
-        with open(self.options_path, 'r') as db_options:
+        with open(options_path, 'r') as db_options:
             for line in db_options:
                 line = OptionsSpecParser.remove_trailing_comment(line)
                 if not line:
                     continue
                 if OptionsSpecParser.is_section_header(line):
-                    curr_sec_type = OptionsSpecParser.get_section_type(line)
+                    curr_sec_type = (
+                        OptionsSpecParser.get_section_type(line)
+                    )
                     curr_sec_name = OptionsSpecParser.get_section_name(line)
-                    if curr_sec_name:
-                        option_prefix = curr_sec_name + '.' + curr_sec_type
+                    if curr_sec_type not in self.options_dict:
+                        self.options_dict[curr_sec_type] = {}
+                    if not curr_sec_name:
+                        curr_sec_name = NO_COL_FAMILY
+                    self.options_dict[curr_sec_type][curr_sec_name] = {}
+                    # example: if the line read from the Rocksdb OPTIONS file
+                    # is [CFOptions "default"], then the section type is
+                    # CFOptions and 'default' is the name of a column family
+                    # that for this database, so it's added to the list of
+                    # column families stored in this object
                     if curr_sec_type == 'CFOptions':
                         if not self.column_families:
                             self.column_families = []
                         self.column_families.append(curr_sec_name)
-                    else:
-                        option_prefix = curr_sec_type
                 elif OptionsSpecParser.is_new_option(line):
                     key, value = OptionsSpecParser.get_key_value_pair(line)
-                    if not self.options_dict:
-                        self.options_dict = {}
-                    self.options_dict[option_prefix + '.' + key] = value
+                    self.options_dict[curr_sec_type][curr_sec_name][key] = (
+                        value
+                    )
                 else:
                     error = 'Not able to parse line in Options file.'
                     OptionsSpecParser.exit_with_parse_error(line, error)
 
+    def get_misc_options(self):
+        # these are options that are not yet supported by the Rocksdb OPTIONS
+        # file, hence they are provided and stored separately
+        return self.misc_options
+
+    def get_column_families(self):
+        return self.column_families
+
+    def get_all_options(self):
+        # This method returns all the options that are stored in this object as
+        # a: Dict[<sec_type>.<option_name>: Dict[col_fam, option_value]]
+        all_options = []
+        # Example: in the section header '[CFOptions "default"]' read from the
+        # OPTIONS file, sec_type='CFOptions'
+        for sec_type in self.options_dict:
+            for col_fam in self.options_dict[sec_type]:
+                for opt_name in self.options_dict[sec_type][col_fam]:
+                    option = sec_type + '.' + opt_name
+                    all_options.append(option)
+        all_options.extend(list(self.misc_options.keys()))
+        return self.get_options(all_options)
+
+    def get_options(self, reqd_options):
+        # type: List[str] -> Dict[str, Dict[str, Any]]
+        # List[option] -> Dict[option, Dict[col_fam, value]]
+        reqd_options_dict = {}
+        for option in reqd_options:
+            if DatabaseOptions.is_misc_option(option):
+                # the option is not prefixed by '<section_type>.' because it is
+                # not yet supported by the Rocksdb OPTIONS file; so it has to
+                # be fetched from the misc_options dictionary
+                if option not in self.misc_options:
+                    continue
+                if option not in reqd_options_dict:
+                    reqd_options_dict[option] = {}
+                reqd_options_dict[option][NO_COL_FAMILY] = (
+                    self.misc_options[option]
+                )
+            else:
+                # Example: option = 'TableOptions.BlockBasedTable.block_align'
+                # then, sec_type = 'TableOptions.BlockBasedTable'
+                sec_type = '.'.join(option.split('.')[:-1])
+                # opt_name = 'block_align'
+                opt_name = option.split('.')[-1]
+                if sec_type not in self.options_dict:
+                    continue
+                for col_fam in self.options_dict[sec_type]:
+                    if opt_name in self.options_dict[sec_type][col_fam]:
+                        if option not in reqd_options_dict:
+                            reqd_options_dict[option] = {}
+                        reqd_options_dict[option][col_fam] = (
+                            self.options_dict[sec_type][col_fam][opt_name]
+                        )
+        return reqd_options_dict
+
+    def update_options(self, options):
+        # An example 'options' object looks like:
+        # {'DBOptions.max_background_jobs': {NO_COL_FAMILY: 2},
+        # 'CFOptions.write_buffer_size': {'default': 1048576, 'cf_A': 128000},
+        # 'bloom_bits': {NO_COL_FAMILY: 4}}
+        for option in options:
+            if DatabaseOptions.is_misc_option(option):
+                # this is a misc_option i.e. an option that is not yet
+                # supported by the Rocksdb OPTIONS file, so it is not prefixed
+                # by '<section_type>.' and must be stored in the separate
+                # misc_options dictionary
+                if NO_COL_FAMILY not in options[option]:
+                    print(
+                        'WARNING(DatabaseOptions.update_options): not ' +
+                        'updating option ' + option + ' because it is in ' +
+                        'misc_option format but its scope is not ' +
+                        NO_COL_FAMILY + '. Check format of option.'
+                    )
+                    continue
+                self.misc_options[option] = options[option][NO_COL_FAMILY]
+            else:
+                sec_name = '.'.join(option.split('.')[:-1])
+                opt_name = option.split('.')[-1]
+                if sec_name not in self.options_dict:
+                    self.options_dict[sec_name] = {}
+                for col_fam in options[option]:
+                    # if the option is not already present in the dictionary,
+                    # it will be inserted, else it will be updated to the new
+                    # value
+                    if col_fam not in self.options_dict[sec_name]:
+                        self.options_dict[sec_name][col_fam] = {}
+                    self.options_dict[sec_name][col_fam][opt_name] = (
+                        copy.deepcopy(options[option][col_fam])
+                    )
+
+    def generate_options_config(self, nonce):
+        # this method generates a Rocksdb OPTIONS file in the INI format from
+        # the options stored in self.options_dict
+        this_path = os.path.abspath(os.path.dirname(__file__))
+        file_name = '../temp/OPTIONS_' + str(nonce) + '.tmp'
+        file_path = os.path.join(this_path, file_name)
+        with open(file_path, 'w') as fp:
+            for section in self.options_dict:
+                for col_fam in self.options_dict[section]:
+                    fp.write(
+                        OptionsSpecParser.get_section_str(section, col_fam) +
+                        '\n'
+                    )
+                    for option in self.options_dict[section][col_fam]:
+                        values = self.options_dict[section][col_fam][option]
+                        fp.write(
+                            OptionsSpecParser.get_option_str(option, values) +
+                            '\n'
+                        )
+                fp.write('\n')
+        return file_path
+
     def check_and_trigger_conditions(self, conditions):
-        '''
-        For every condition, if the fields are not present set_trigger will
-        not be called for it. Or if all the fields are present, then the
-        trigger will be set to whatever the expression evaluates to.
-        '''
         for cond in conditions:
-            # This contains the indices of options to whose name the column
-            # family name needs to be prepended in order to create the full
-            # option name as parsed from the options file.
+            reqd_options_dict = self.get_options(cond.options)
+            # This contains the indices of options that are specific to some
+            # column family and are not database-wide options.
             incomplete_option_ix = []
-            ix = 0
             options = []
-            for option in cond.options:
-                if option in self.options_dict.keys():
-                    options.append(self.options_dict[option])
+            missing_reqd_option = False
+            for ix, option in enumerate(cond.options):
+                if option not in reqd_options_dict:
+                    print(
+                        'WARNING(DatabaseOptions.check_and_trigger): ' +
+                        'skipping condition ' + cond.name + ' because it '
+                        'requires option ' + option + ' but this option is' +
+                        ' not available'
+                    )
+                    missing_reqd_option = True
+                    break  # required option is absent
+                if NO_COL_FAMILY in reqd_options_dict[option]:
+                    options.append(reqd_options_dict[option][NO_COL_FAMILY])
                 else:
+                    options.append(None)
                     incomplete_option_ix.append(ix)
-                    options.append(0)
-                ix += 1
 
-            # if all the options were present as is:
+            if missing_reqd_option:
+                continue
+
+            # if all the options are database-wide options
             if not incomplete_option_ix:
-                if not eval(cond.eval_expr):
-                    cond.set_trigger(cond.eval_expr)
+                try:
+                    if eval(cond.eval_expr):
+                        cond.set_trigger({NO_COL_FAMILY: options})
+                except Exception as e:
+                    print(
+                        'WARNING(DatabaseOptions) check_and_trigger:' + str(e)
+                    )
                 continue
 
-            # for all the options that were not present as is, we prepend them
-            # their names with every column family found in options file.
+            # for all the options that are not database-wide, we look for their
+            # values specific to column families
+            col_fam_options_dict = {}
             for col_fam in self.column_families:
                 present = True
                 for ix in incomplete_option_ix:
-                    full_option = col_fam + '.' + cond.options[ix]
-                    if full_option not in self.options_dict.keys():
+                    option = cond.options[ix]
+                    if col_fam not in reqd_options_dict[option]:
                         present = False
                         break
-                    options[ix] = self.options_dict[full_option]
-                if present and not eval(cond.eval_expr):
-                    cond.set_trigger(cond.eval_expr)
+                    options[ix] = reqd_options_dict[option][col_fam]
+                if present:
+                    try:
+                        if eval(cond.eval_expr):
+                            col_fam_options_dict[col_fam] = (
+                                copy.deepcopy(options)
+                            )
+                    except Exception as e:
+                        print(
+                            'WARNING(DatabaseOptions) check_and_trigger: ' +
+                            str(e)
+                        )
+            # Trigger for an OptionCondition object is of the form:
+            # Dict[col_fam_name: List[option_value]]
+            # where col_fam_name is the name of a column family for which
+            # 'eval_expr' evaluated to True and List[option_value] is the list
+            # of values of the options specified in the condition's 'options'
+            # field
+            if col_fam_options_dict:
+                cond.set_trigger(col_fam_options_dict)
+
+
+# TODO(poojam23): remove these methods once the unit tests for this class are
+# in place
+def main():
+    options_file = 'temp/OPTIONS_default.tmp'
+    misc_options = ["misc_opt1=10", "misc_opt2=100", "misc_opt3=1000"]
+    db_options = DatabaseOptions(options_file, misc_options)
+    print(db_options.get_column_families())
+    get_op = db_options.get_options([
+        'DBOptions.db_log_dir',
+        'DBOptions.is_fd_close_on_exec',
+        'CFOptions.memtable_prefix_bloom_size_ratio',
+        'TableOptions.BlockBasedTable.verify_compression',
+        'misc_opt1',
+        'misc_opt3'
+    ])
+    print(get_op)
+    get_op['DBOptions.db_log_dir'][NO_COL_FAMILY] = 'some_random_path'
+    get_op['CFOptions.memtable_prefix_bloom_size_ratio']['default'] = 2.31
+    get_op['TableOptions.BlockBasedTable.verify_compression']['default'] = 4.4
+    get_op['misc_opt2'] = {}
+    get_op['misc_opt2'][NO_COL_FAMILY] = 2
+    db_options.update_options(get_op)
+    print('options updated in ' + db_options.generate_options_config(123))
+    print('misc options ' + repr(db_options.get_misc_options()))
+
+    options_file = 'temp/OPTIONS_123.tmp'
+    db_options = DatabaseOptions(options_file, misc_options)
+    # only CFOptions
+    cond1 = Condition('opt-cond-1')
+    cond1 = OptionCondition.create(cond1)
+    cond1.set_parameter(
+        'options', [
+            'CFOptions.level0_file_num_compaction_trigger',
+            'CFOptions.write_buffer_size',
+            'CFOptions.max_bytes_for_level_base'
+        ]
+    )
+    cond1.set_parameter(
+        'evaluate',
+        'int(options[0])*int(options[1])-int(options[2])>=0'
+    )
+    # only DBOptions
+    cond2 = Condition('opt-cond-2')
+    cond2 = OptionCondition.create(cond2)
+    cond2.set_parameter(
+        'options', [
+            'DBOptions.max_file_opening_threads',
+            'DBOptions.table_cache_numshardbits',
+            'misc_opt2',
+            'misc_opt3'
+        ]
+    )
+    cond2_expr = (
+        '(int(options[0])*int(options[2]))-' +
+        '((4*int(options[1])*int(options[3]))/10)==0'
+    )
+    cond2.set_parameter('evaluate', cond2_expr)
+    # mix of CFOptions and DBOptions
+    cond3 = Condition('opt-cond-3')
+    cond3 = OptionCondition.create(cond3)
+    cond3.set_parameter(
+        'options', [
+            'DBOptions.max_background_jobs',  # 2
+            'DBOptions.write_thread_slow_yield_usec',  # 3
+            'CFOptions.num_levels',  # 7
+            'misc_opt1'  # 10
+        ]
+    )
+    cond3_expr = (
+        '(int(options[3])*int(options[2]))-' +
+        '(int(options[1])*int(options[0]))==64'
+    )
+    cond3.set_parameter('evaluate', cond3_expr)
+
+    db_options.check_and_trigger_conditions([cond1, cond2, cond3])
+    print(cond1.get_trigger())  # {'col-fam-B': ['4', '10', '10']}
+    print(cond2.get_trigger())  # {'DB_WIDE': ['16', '4']}
+    # {'col-fam-B': ['2', '3', '10'], 'col-fam-A': ['2', '3', '7']}
+    print(cond3.get_trigger())
+
+
+if __name__ == "__main__":
+    main()

tools/advisor/advisor/db_stats_fetcher.py

@@ -0,0 +1,421 @@
+# 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_log_parser import Log
+from advisor.db_timeseries_parser import TimeSeriesData, NO_ENTITY
+from advisor.rule_parser import Condition, TimeSeriesCondition
+import copy
+import glob
+import re
+import subprocess
+import time
+
+
+class LogStatsParser(TimeSeriesData):
+    STATS = 'STATISTICS:'
+
+    @staticmethod
+    def parse_log_line_for_stats(log_line):
+        # Example stat line (from LOG file):
+        # "rocksdb.db.get.micros P50 : 8.4 P95 : 21.8 P99 : 33.9 P100 : 92.0\n"
+        token_list = log_line.strip().split()
+        # token_list = ['rocksdb.db.get.micros', 'P50', ':', '8.4', 'P95', ':',
+        # '21.8', 'P99', ':', '33.9', 'P100', ':', '92.0']
+        stat_prefix = token_list[0] + '.'  # 'rocksdb.db.get.micros.'
+        stat_values = [
+            token
+            for token in token_list[1:]
+            if token != ':'
+        ]
+        # stat_values = ['P50', '8.4', 'P95', '21.8', 'P99', '33.9', 'P100',
+        # '92.0']
+        stat_dict = {}
+        for ix, metric in enumerate(stat_values):
+            if ix % 2 == 0:
+                stat_name = stat_prefix + metric
+                stat_name = stat_name.lower()  # Note: case insensitive names
+            else:
+                stat_dict[stat_name] = float(metric)
+        # stat_dict = {'rocksdb.db.get.micros.p50': 8.4,
+        # 'rocksdb.db.get.micros.p95': 21.8, 'rocksdb.db.get.micros.p99': 33.9,
+        # 'rocksdb.db.get.micros.p100': 92.0}
+        return stat_dict
+
+    def __init__(self, logs_path_prefix, stats_freq_sec):
+        super().__init__()
+        self.logs_file_prefix = logs_path_prefix
+        self.stats_freq_sec = stats_freq_sec
+        self.duration_sec = 60
+
+    def get_keys_from_conditions(self, conditions):
+        # Note: case insensitive stat names
+        reqd_stats = []
+        for cond in conditions:
+            for key in cond.keys:
+                key = key.lower()
+                # some keys are prepended with '[]' for OdsStatsFetcher to
+                # replace this with the appropriate key_prefix, remove these
+                # characters here since the LogStatsParser does not need
+                # a prefix
+                if key.startswith('[]'):
+                    reqd_stats.append(key[2:])
+                else:
+                    reqd_stats.append(key)
+        return reqd_stats
+
+    def add_to_timeseries(self, log, reqd_stats):
+        # this method takes in the Log object that contains the Rocksdb stats
+        # and a list of required stats, then it parses the stats line by line
+        # to fetch required stats and add them to the keys_ts object
+        # Example: reqd_stats = ['rocksdb.block.cache.hit.count',
+        # 'rocksdb.db.get.micros.p99']
+        # Let log.get_message() returns following string:
+        # "[WARN] [db/db_impl.cc:485] STATISTICS:\n
+        # rocksdb.block.cache.miss COUNT : 1459\n
+        # rocksdb.block.cache.hit COUNT : 37\n
+        # ...
+        # rocksdb.db.get.micros P50 : 15.6 P95 : 39.7 P99 : 62.6 P100 : 148.0\n
+        # ..."
+        new_lines = log.get_message().split('\n')
+        # let log_ts = 1532518219
+        log_ts = log.get_timestamp()
+        # example updates to keys_ts:
+        # keys_ts[NO_ENTITY]['rocksdb.db.get.micros.p99'][1532518219] = 62.6
+        # keys_ts[NO_ENTITY]['rocksdb.block.cache.hit.count'][1532518219] = 37
+        for line in new_lines[1:]:  # new_lines[0] does not contain any stats
+            stats_on_line = self.parse_log_line_for_stats(line)
+            for stat in stats_on_line:
+                if stat in reqd_stats:
+                    if stat not in self.keys_ts[NO_ENTITY]:
+                        self.keys_ts[NO_ENTITY][stat] = {}
+                    self.keys_ts[NO_ENTITY][stat][log_ts] = stats_on_line[stat]
+
+    def fetch_timeseries(self, reqd_stats):
+        # this method parses the Rocksdb LOG file and generates timeseries for
+        # each of the statistic in the list reqd_stats
+        self.keys_ts = {NO_ENTITY: {}}
+        for file_name in glob.glob(self.logs_file_prefix + '*'):
+            # TODO(poojam23): find a way to distinguish between 'old' log files
+            # from current and previous experiments, present in the same
+            # directory
+            if re.search('old', file_name, re.IGNORECASE):
+                continue
+            with open(file_name, 'r') as db_logs:
+                new_log = None
+                for line in db_logs:
+                    if Log.is_new_log(line):
+                        if (
+                            new_log and
+                            re.search(self.STATS, new_log.get_message())
+                        ):
+                            self.add_to_timeseries(new_log, reqd_stats)
+                        new_log = Log(line, column_families=[])
+                    else:
+                        # To account for logs split into multiple lines
+                        new_log.append_message(line)
+            # Check for the last log in the file.
+            if new_log and re.search(self.STATS, new_log.get_message()):
+                self.add_to_timeseries(new_log, reqd_stats)
+
+
+class DatabasePerfContext(TimeSeriesData):
+    # TODO(poojam23): check if any benchrunner provides PerfContext sampled at
+    # regular intervals
+    def __init__(self, perf_context_ts, stats_freq_sec=0, cumulative=True):
+        '''
+        perf_context_ts is expected to be in the following format:
+        Dict[metric, Dict[timestamp, value]], where for
+        each (metric, timestamp) pair, the value is database-wide (i.e.
+        summed over all the threads involved)
+        if stats_freq_sec == 0, per-metric only one value is reported
+        '''
+        super().__init__()
+        self.stats_freq_sec = stats_freq_sec
+        self.keys_ts = {NO_ENTITY: perf_context_ts}
+        if cumulative:
+            self.unaccumulate_metrics()
+
+    def unaccumulate_metrics(self):
+        # if the perf context metrics provided are cumulative in nature, this
+        # method can be used to convert them to a disjoint format
+        epoch_ts = copy.deepcopy(self.keys_ts)
+        for stat in self.keys_ts[NO_ENTITY]:
+            timeseries = sorted(
+                list(self.keys_ts[NO_ENTITY][stat].keys()), reverse=True
+            )
+            if len(timeseries) < 2:
+                continue
+            for ix, ts in enumerate(timeseries[:-1]):
+                epoch_ts[NO_ENTITY][stat][ts] = (
+                    epoch_ts[NO_ENTITY][stat][ts] -
+                    epoch_ts[NO_ENTITY][stat][timeseries[ix+1]]
+                )
+                if epoch_ts[NO_ENTITY][stat][ts] < 0:
+                    raise ValueError('DBPerfContext: really cumulative?')
+            # drop the smallest timestamp in the timeseries for this metric
+            epoch_ts[NO_ENTITY][stat].pop(timeseries[-1])
+        self.keys_ts = epoch_ts
+
+    def get_keys_from_conditions(self, conditions):
+        reqd_stats = []
+        for cond in conditions:
+            reqd_stats.extend([key.lower() for key in cond.keys])
+        return reqd_stats
+
+    def fetch_timeseries(self, statistics):
+        # this method is redundant for DatabasePerfContext because the __init__
+        # does the job of populating 'keys_ts'
+        pass
+
+
+class OdsStatsFetcher(TimeSeriesData):
+    # class constants
+    OUTPUT_FILE = 'temp/stats_out.tmp'
+    ERROR_FILE = 'temp/stats_err.tmp'
+    RAPIDO_COMMAND = "%s --entity=%s --key=%s --tstart=%s --tend=%s --showtime"
+    ODS_COMMAND = '%s %s %s'  # client, entities, keys
+
+    # static methods
+    @staticmethod
+    def _get_string_in_quotes(value):
+        return '"' + str(value) + '"'
+
+    @staticmethod
+    def _get_time_value_pair(pair_string):
+        # example pair_string: '[1532544591, 97.3653601828]'
+        pair_string = pair_string.replace('[', '')
+        pair_string = pair_string.replace(']', '')
+        pair = pair_string.split(',')
+        first = int(pair[0].strip())
+        second = float(pair[1].strip())
+        return [first, second]
+
+    def __init__(self, client, entities, key_prefix=None):
+        super().__init__()
+        self.client = client
+        self.entities = entities
+        self.key_prefix = key_prefix
+        self.stats_freq_sec = 60
+        self.duration_sec = 60
+        # Fetch last 3 hours data by default
+        self.end_time = int(time.time())
+        self.start_time = self.end_time - (3 * 60 * 60)
+
+    def execute_script(self, command):
+        print('executing...')
+        print(command)
+        out_file = open(self.OUTPUT_FILE, "w+")
+        err_file = open(self.ERROR_FILE, "w+")
+        subprocess.call(command, shell=True, stdout=out_file, stderr=err_file)
+        out_file.close()
+        err_file.close()
+
+    def parse_rapido_output(self):
+        # Output looks like the following:
+        # <entity_name>\t<key_name>\t[[ts, value], [ts, value], ...]
+        # ts = timestamp; value = value of key_name in entity_name at time ts
+        self.keys_ts = {}
+        with open(self.OUTPUT_FILE, 'r') as fp:
+            for line in fp:
+                token_list = line.strip().split('\t')
+                entity = token_list[0]
+                key = token_list[1]
+                if entity not in self.keys_ts:
+                    self.keys_ts[entity] = {}
+                if key not in self.keys_ts[entity]:
+                    self.keys_ts[entity][key] = {}
+                list_of_lists = [
+                    self._get_time_value_pair(pair_string)
+                    for pair_string in token_list[2].split('],')
+                ]
+                value = {pair[0]: pair[1] for pair in list_of_lists}
+                self.keys_ts[entity][key] = value
+
+    def parse_ods_output(self):
+        # Output looks like the following:
+        # <entity_name>\t<key_name>\t<timestamp>\t<value>
+        # there is one line per (entity_name, key_name, timestamp)
+        self.keys_ts = {}
+        with open(self.OUTPUT_FILE, 'r') as fp:
+            for line in fp:
+                token_list = line.split()
+                entity = token_list[0]
+                if entity not in self.keys_ts:
+                    self.keys_ts[entity] = {}
+                key = token_list[1]
+                if key not in self.keys_ts[entity]:
+                    self.keys_ts[entity][key] = {}
+                self.keys_ts[entity][key][token_list[2]] = token_list[3]
+
+    def fetch_timeseries(self, statistics):
+        # this method fetches the timeseries of required stats from the ODS
+        # service and populates the 'keys_ts' object appropriately
+        print('OdsStatsFetcher: fetching ' + str(statistics))
+        if re.search('rapido', self.client, re.IGNORECASE):
+            command = self.RAPIDO_COMMAND % (
+                self.client,
+                self._get_string_in_quotes(self.entities),
+                self._get_string_in_quotes(','.join(statistics)),
+                self._get_string_in_quotes(self.start_time),
+                self._get_string_in_quotes(self.end_time)
+            )
+            # Run the tool and fetch the time-series data
+            self.execute_script(command)
+            # Parse output and populate the 'keys_ts' map
+            self.parse_rapido_output()
+        elif re.search('ods', self.client, re.IGNORECASE):
+            command = self.ODS_COMMAND % (
+                self.client,
+                self._get_string_in_quotes(self.entities),
+                self._get_string_in_quotes(','.join(statistics))
+            )
+            # Run the tool and fetch the time-series data
+            self.execute_script(command)
+            # Parse output and populate the 'keys_ts' map
+            self.parse_ods_output()
+
+    def get_keys_from_conditions(self, conditions):
+        reqd_stats = []
+        for cond in conditions:
+            for key in cond.keys:
+                use_prefix = False
+                if key.startswith('[]'):
+                    use_prefix = True
+                    key = key[2:]
+                # TODO(poojam23): this is very hacky and needs to be improved
+                if key.startswith("rocksdb"):
+                    key += ".60"
+                if use_prefix:
+                    if not self.key_prefix:
+                        print('Warning: OdsStatsFetcher might need key prefix')
+                        print('for the key: ' + key)
+                    else:
+                        key = self.key_prefix + "." + key
+                reqd_stats.append(key)
+        return reqd_stats
+
+    def fetch_rate_url(self, entities, keys, window_len, percent, display):
+        # type: (List[str], List[str], str, str, bool) -> str
+        transform_desc = (
+            "rate(" + str(window_len) + ",duration=" + str(self.duration_sec)
+        )
+        if percent:
+            transform_desc = transform_desc + ",%)"
+        else:
+            transform_desc = transform_desc + ")"
+
+        command = self.RAPIDO_COMMAND + " --transform=%s --url=%s"
+        command = command % (
+            self.client,
+            self._get_string_in_quotes(','.join(entities)),
+            self._get_string_in_quotes(','.join(keys)),
+            self._get_string_in_quotes(self.start_time),
+            self._get_string_in_quotes(self.end_time),
+            self._get_string_in_quotes(transform_desc),
+            self._get_string_in_quotes(display)
+        )
+        self.execute_script(command)
+        url = ""
+        with open(self.OUTPUT_FILE, 'r') as fp:
+            url = fp.readline()
+        return url
+
+
+# TODO(poojam23): remove these blocks once the unittests for LogStatsParser are
+# in place
+def main():
+    # populating the statistics
+    log_stats = LogStatsParser('temp/db_stats_fetcher_main_LOG.tmp', 20)
+    print(log_stats.type)
+    print(log_stats.keys_ts)
+    print(log_stats.logs_file_prefix)
+    print(log_stats.stats_freq_sec)
+    print(log_stats.duration_sec)
+    statistics = [
+        'rocksdb.number.rate_limiter.drains.count',
+        'rocksdb.number.block.decompressed.count',
+        'rocksdb.db.get.micros.p50',
+        'rocksdb.manifest.file.sync.micros.p99',
+        'rocksdb.db.get.micros.p99'
+    ]
+    log_stats.fetch_timeseries(statistics)
+    print()
+    print(log_stats.keys_ts)
+    # aggregated statistics
+    print()
+    print(log_stats.fetch_aggregated_values(
+        NO_ENTITY, statistics, TimeSeriesData.AggregationOperator.latest
+    ))
+    print(log_stats.fetch_aggregated_values(
+        NO_ENTITY, statistics, TimeSeriesData.AggregationOperator.oldest
+    ))
+    print(log_stats.fetch_aggregated_values(
+        NO_ENTITY, statistics, TimeSeriesData.AggregationOperator.max
+    ))
+    print(log_stats.fetch_aggregated_values(
+        NO_ENTITY, statistics, TimeSeriesData.AggregationOperator.min
+    ))
+    print(log_stats.fetch_aggregated_values(
+        NO_ENTITY, statistics, TimeSeriesData.AggregationOperator.avg
+    ))
+    # condition 'evaluate_expression' that evaluates to true
+    cond1 = Condition('cond-1')
+    cond1 = TimeSeriesCondition.create(cond1)
+    cond1.set_parameter('keys', statistics)
+    cond1.set_parameter('behavior', 'evaluate_expression')
+    cond1.set_parameter('evaluate', 'keys[3]-keys[2]>=0')
+    cond1.set_parameter('aggregation_op', 'avg')
+    # condition 'evaluate_expression' that evaluates to false
+    cond2 = Condition('cond-2')
+    cond2 = TimeSeriesCondition.create(cond2)
+    cond2.set_parameter('keys', statistics)
+    cond2.set_parameter('behavior', 'evaluate_expression')
+    cond2.set_parameter('evaluate', '((keys[1]-(2*keys[0]))/100)<3000')
+    cond2.set_parameter('aggregation_op', 'latest')
+    # condition 'evaluate_expression' that evaluates to true; no aggregation_op
+    cond3 = Condition('cond-3')
+    cond3 = TimeSeriesCondition.create(cond3)
+    cond3.set_parameter('keys', [statistics[2], statistics[3]])
+    cond3.set_parameter('behavior', 'evaluate_expression')
+    cond3.set_parameter('evaluate', '(keys[1]/keys[0])>23')
+    # check remaining methods
+    conditions = [cond1, cond2, cond3]
+    print()
+    print(log_stats.get_keys_from_conditions(conditions))
+    log_stats.check_and_trigger_conditions(conditions)
+    print()
+    print(cond1.get_trigger())
+    print(cond2.get_trigger())
+    print(cond3.get_trigger())
+
+
+# TODO(poojam23): shift this code to the unit tests for DatabasePerfContext
+def check_perf_context_code():
+    string = (
+        " user_key_comparison_count = 675903942, " +
+        "block_cache_hit_count = 830086, " +
+        "get_from_output_files_time = 85088293818, " +
+        "seek_on_memtable_time = 0,"
+    )
+    token_list = string.split(',')
+    perf_context = {
+        token.split('=')[0].strip(): int(token.split('=')[1].strip())
+        for token in token_list
+        if token
+    }
+    timestamp = int(time.time())
+    perf_ts = {}
+    for key in perf_context:
+        perf_ts[key] = {}
+        start_val = perf_context[key]
+        for ix in range(5):
+            perf_ts[key][timestamp+(ix*10)] = start_val + (2 * ix)
+    db_perf_context = DatabasePerfContext(perf_ts, 10, True)
+    print(db_perf_context.keys_ts)
+
+
+if __name__ == '__main__':
+    main()
+    check_perf_context_code()

tools/advisor/advisor/db_timeseries_parser.py

@@ -0,0 +1,208 @@
+# 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 abc import abstractmethod
+from advisor.db_log_parser import DataSource
+from enum import Enum
+import math
+
+
+NO_ENTITY = 'ENTITY_PLACEHOLDER'
+
+
+class TimeSeriesData(DataSource):
+    class Behavior(Enum):
+        bursty = 1
+        evaluate_expression = 2
+
+    class AggregationOperator(Enum):
+        avg = 1
+        max = 2
+        min = 3
+        latest = 4
+        oldest = 5
+
+    def __init__(self):
+        super().__init__(DataSource.Type.TIME_SERIES)
+        self.keys_ts = None  # Dict[entity, Dict[key, Dict[timestamp, value]]]
+        self.stats_freq_sec = None
+
+    @abstractmethod
+    def get_keys_from_conditions(self, conditions):
+        # This method takes in a list of time-series conditions; for each
+        # condition it manipulates the 'keys' in the way that is supported by
+        # the subclass implementing this method
+        pass
+
+    @abstractmethod
+    def fetch_timeseries(self, required_statistics):
+        # this method takes in a list of statistics and fetches the timeseries
+        # for each of them and populates the 'keys_ts' dictionary
+        pass
+
+    def fetch_burst_epochs(
+        self, entities, statistic, window_sec, threshold, percent
+    ):
+        # type: (str, int, float, bool) -> Dict[str, Dict[int, float]]
+        # this method calculates the (percent) rate change in the 'statistic'
+        # for each entity (over 'window_sec' seconds) and returns the epochs
+        # where this rate change is greater than or equal to the 'threshold'
+        # value
+        if self.stats_freq_sec == 0:
+            # not time series data, cannot check for bursty behavior
+            return
+        if window_sec < self.stats_freq_sec:
+            window_sec = self.stats_freq_sec
+        # 'window_samples' is the number of windows to go back to
+        # compare the current window with, while calculating rate change.
+        window_samples = math.ceil(window_sec / self.stats_freq_sec)
+        burst_epochs = {}
+        # if percent = False:
+        # curr_val = value at window for which rate change is being calculated
+        # prev_val = value at window that is window_samples behind curr_window
+        # Then rate_without_percent =
+        # ((curr_val-prev_val)*duration_sec)/(curr_timestamp-prev_timestamp)
+        # if percent = True:
+        # rate_with_percent = (rate_without_percent * 100) / prev_val
+        # These calculations are in line with the rate() transform supported
+        # by ODS
+        for entity in entities:
+            if statistic not in self.keys_ts[entity]:
+                continue
+            timestamps = sorted(list(self.keys_ts[entity][statistic].keys()))
+            for ix in range(window_samples, len(timestamps), 1):
+                first_ts = timestamps[ix - window_samples]
+                last_ts = timestamps[ix]
+                first_val = self.keys_ts[entity][statistic][first_ts]
+                last_val = self.keys_ts[entity][statistic][last_ts]
+                diff = last_val - first_val
+                if percent:
+                    diff = diff * 100 / first_val
+                rate = (diff * self.duration_sec) / (last_ts - first_ts)
+                # if the rate change is greater than the provided threshold,
+                # then the condition is triggered for entity at time 'last_ts'
+                if rate >= threshold:
+                    if entity not in burst_epochs:
+                        burst_epochs[entity] = {}
+                    burst_epochs[entity][last_ts] = rate
+        return burst_epochs
+
+    def fetch_aggregated_values(self, entity, statistics, aggregation_op):
+        # type: (str, AggregationOperator) -> Dict[str, float]
+        # this method performs the aggregation specified by 'aggregation_op'
+        # on the timeseries of 'statistics' for 'entity' and returns:
+        # Dict[statistic, aggregated_value]
+        result = {}
+        for stat in statistics:
+            if stat not in self.keys_ts[entity]:
+                continue
+            agg_val = None
+            if aggregation_op is self.AggregationOperator.latest:
+                latest_timestamp = max(list(self.keys_ts[entity][stat].keys()))
+                agg_val = self.keys_ts[entity][stat][latest_timestamp]
+            elif aggregation_op is self.AggregationOperator.oldest:
+                oldest_timestamp = min(list(self.keys_ts[entity][stat].keys()))
+                agg_val = self.keys_ts[entity][stat][oldest_timestamp]
+            elif aggregation_op is self.AggregationOperator.max:
+                agg_val = max(list(self.keys_ts[entity][stat].values()))
+            elif aggregation_op is self.AggregationOperator.min:
+                agg_val = min(list(self.keys_ts[entity][stat].values()))
+            elif aggregation_op is self.AggregationOperator.avg:
+                values = list(self.keys_ts[entity][stat].values())
+                agg_val = sum(values) / len(values)
+            result[stat] = agg_val
+        return result
+
+    def check_and_trigger_conditions(self, conditions):
+        # get the list of statistics that need to be fetched
+        reqd_keys = self.get_keys_from_conditions(conditions)
+        # fetch the required statistics and populate the map 'keys_ts'
+        self.fetch_timeseries(reqd_keys)
+        # Trigger the appropriate conditions
+        for cond in conditions:
+            complete_keys = self.get_keys_from_conditions([cond])
+            # Get the entities that have all statistics required by 'cond':
+            # an entity is checked for a given condition only if we possess all
+            # of the condition's 'keys' for that entity
+            entities_with_stats = []
+            for entity in self.keys_ts:
+                stat_missing = False
+                for stat in complete_keys:
+                    if stat not in self.keys_ts[entity]:
+                        stat_missing = True
+                        break
+                if not stat_missing:
+                    entities_with_stats.append(entity)
+            if not entities_with_stats:
+                continue
+            if cond.behavior is self.Behavior.bursty:
+                # for a condition that checks for bursty behavior, only one key
+                # should be present in the condition's 'keys' field
+                result = self.fetch_burst_epochs(
+                    entities_with_stats,
+                    complete_keys[0],  # there should be only one key
+                    cond.window_sec,
+                    cond.rate_threshold,
+                    True
+                )
+                # Trigger in this case is:
+                # Dict[entity_name, Dict[timestamp, rate_change]]
+                # where the inner dictionary contains rate_change values when
+                # the rate_change >= threshold provided, with the
+                # corresponding timestamps
+                if result:
+                    cond.set_trigger(result)
+            elif cond.behavior is self.Behavior.evaluate_expression:
+                self.handle_evaluate_expression(
+                    cond,
+                    complete_keys,
+                    entities_with_stats
+                )
+
+    def handle_evaluate_expression(self, condition, statistics, entities):
+        trigger = {}
+        # check 'condition' for each of these entities
+        for entity in entities:
+            if hasattr(condition, 'aggregation_op'):
+                # in this case, the aggregation operation is performed on each
+                # of the condition's 'keys' and then with aggregated values
+                # condition's 'expression' is evaluated; if it evaluates to
+                # True, then list of the keys values is added to the
+                # condition's trigger: Dict[entity_name, List[stats]]
+                result = self.fetch_aggregated_values(
+                        entity, statistics, condition.aggregation_op
+                )
+                keys = [result[key] for key in statistics]
+                try:
+                    if eval(condition.expression):
+                        trigger[entity] = keys
+                except Exception as e:
+                    print(
+                        'WARNING(TimeSeriesData) check_and_trigger: ' + str(e)
+                    )
+            else:
+                # assumption: all stats have same series of timestamps
+                # this is similar to the above but 'expression' is evaluated at
+                # each timestamp, since there is no aggregation, and all the
+                # epochs are added to the trigger when the condition's
+                # 'expression' evaluated to true; so trigger is:
+                # Dict[entity, Dict[timestamp, List[stats]]]
+                for epoch in self.keys_ts[entity][statistics[0]].keys():
+                    keys = [
+                        self.keys_ts[entity][key][epoch]
+                        for key in statistics
+                    ]
+                    try:
+                        if eval(condition.expression):
+                            if entity not in trigger:
+                                trigger[entity] = {}
+                            trigger[entity][epoch] = keys
+                    except Exception as e:
+                        print(
+                            'WARNING(TimeSeriesData) check_and_trigger: ' +
+                            str(e)
+                        )
+        if trigger:
+            condition.set_trigger(trigger)

tools/advisor/advisor/ini_parser.py

@@ -62,8 +62,8 @@ class IniParser:
     def get_key_value_pair(line):
         line = line.strip()
         key = line.split('=')[0].strip()
-        value = line.split('=')[1].strip()
-        if not value:
+        value = "=".join(line.split('=')[1:])
+        if value == "":  # if the option has no value
             return (key, None)
         values = IniParser.get_list_from_value(value)
         if len(values) == 1:

tools/advisor/advisor/rule_parser.py

@@ -4,11 +4,11 @@
 #  (found in the LICENSE.Apache file in the root directory).
 
 from abc import ABC, abstractmethod
-import argparse
-from advisor.db_log_parser import DatabaseLogs, DataSource
-from advisor.db_options_parser import DatabaseOptions
+from advisor.db_log_parser import DataSource, NO_COL_FAMILY
+from advisor.db_timeseries_parser import TimeSeriesData
 from enum import Enum
 from advisor.ini_parser import IniParser
+import re
 
 
 class Section(ABC):
@@ -29,6 +29,9 @@ class Rule(Section):
         super().__init__(name)
         self.conditions = None
         self.suggestions = None
+        self.overlap_time_seconds = None
+        self.trigger_entities = None
+        self.trigger_column_families = None
 
     def set_parameter(self, key, value):
         # If the Rule is associated with a single suggestion/condition, then
@@ -45,6 +48,8 @@ class Rule(Section):
                 self.suggestions = [value]
             else:
                 self.suggestions = value
+        elif key == 'overlap_time_period':
+            self.overlap_time_seconds = value
 
     def get_suggestions(self):
         return self.suggestions
@@ -58,12 +63,133 @@ class Rule(Section):
             raise ValueError(
                 self.name + ': rule must have at least one suggestion'
             )
+        if self.overlap_time_seconds:
+            if len(self.conditions) != 2:
+                raise ValueError(
+                    self.name + ": rule must be associated with 2 conditions\
+                    in order to check for a time dependency between them"
+                )
+            time_format = '^\d+[s|m|h|d]$'
+            if (
+                not
+                re.match(time_format, self.overlap_time_seconds, re.IGNORECASE)
+            ):
+                raise ValueError(
+                    self.name + ": overlap_time_seconds format: \d+[s|m|h|d]"
+                )
+            else:  # convert to seconds
+                in_seconds = int(self.overlap_time_seconds[:-1])
+                if self.overlap_time_seconds[-1] == 'm':
+                    in_seconds *= 60
+                elif self.overlap_time_seconds[-1] == 'h':
+                    in_seconds *= (60 * 60)
+                elif self.overlap_time_seconds[-1] == 'd':
+                    in_seconds *= (24 * 60 * 60)
+                self.overlap_time_seconds = in_seconds
+
+    def get_overlap_timestamps(self, key1_trigger_epochs, key2_trigger_epochs):
+        # this method takes in 2 timeseries i.e. timestamps at which the
+        # rule's 2 TIME_SERIES conditions were triggered and it finds
+        # (if present) the first pair of timestamps at which the 2 conditions
+        # were triggered within 'overlap_time_seconds' of each other
+        key1_lower_bounds = [
+            epoch - self.overlap_time_seconds
+            for epoch in key1_trigger_epochs
+        ]
+        key1_lower_bounds.sort()
+        key2_trigger_epochs.sort()
+        trigger_ix = 0
+        overlap_pair = None
+        for key1_lb in key1_lower_bounds:
+            while (
+                key2_trigger_epochs[trigger_ix] < key1_lb and
+                trigger_ix < len(key2_trigger_epochs)
+            ):
+                trigger_ix += 1
+            if trigger_ix >= len(key2_trigger_epochs):
+                break
+            if (
+                key2_trigger_epochs[trigger_ix] <=
+                key1_lb + (2 * self.overlap_time_seconds)
+            ):
+                overlap_pair = (
+                    key2_trigger_epochs[trigger_ix],
+                    key1_lb + self.overlap_time_seconds
+                )
+                break
+        return overlap_pair
+
+    def get_trigger_entities(self):
+        return self.trigger_entities
+
+    def get_trigger_column_families(self):
+        return self.trigger_column_families
+
+    def is_triggered(self, conditions_dict, column_families):
+        if self.overlap_time_seconds:
+            condition1 = conditions_dict[self.conditions[0]]
+            condition2 = conditions_dict[self.conditions[1]]
+            if not (
+                condition1.get_data_source() is DataSource.Type.TIME_SERIES and
+                condition2.get_data_source() is DataSource.Type.TIME_SERIES
+            ):
+                raise ValueError(self.name + ': need 2 timeseries conditions')
+
+            map1 = condition1.get_trigger()
+            map2 = condition2.get_trigger()
+            if not (map1 and map2):
+                return False
 
-    def is_triggered(self, conditions_dict):
-        condition_triggers = []
-        for cond in self.conditions:
-            condition_triggers.append(conditions_dict[cond].is_triggered())
-        return all(condition_triggers)
+            self.trigger_entities = {}
+            is_triggered = False
+            entity_intersection = (
+                set(map1.keys()).intersection(set(map2.keys()))
+            )
+            for entity in entity_intersection:
+                overlap_timestamps_pair = (
+                    self.get_overlap_timestamps(
+                        list(map1[entity].keys()), list(map2[entity].keys())
+                    )
+                )
+                if overlap_timestamps_pair:
+                    self.trigger_entities[entity] = overlap_timestamps_pair
+                    is_triggered = True
+            if is_triggered:
+                self.trigger_column_families = set(column_families)
+            return is_triggered
+        else:
+            all_conditions_triggered = True
+            self.trigger_column_families = set(column_families)
+            for cond_name in self.conditions:
+                cond = conditions_dict[cond_name]
+                if not cond.get_trigger():
+                    all_conditions_triggered = False
+                    break
+                if (
+                    cond.get_data_source() is DataSource.Type.LOG or
+                    cond.get_data_source() is DataSource.Type.DB_OPTIONS
+                ):
+                    cond_col_fam = set(cond.get_trigger().keys())
+                    if NO_COL_FAMILY in cond_col_fam:
+                        cond_col_fam = set(column_families)
+                    self.trigger_column_families = (
+                        self.trigger_column_families.intersection(cond_col_fam)
+                    )
+                elif cond.get_data_source() is DataSource.Type.TIME_SERIES:
+                    cond_entities = set(cond.get_trigger().keys())
+                    if self.trigger_entities is None:
+                        self.trigger_entities = cond_entities
+                    else:
+                        self.trigger_entities = (
+                            self.trigger_entities.intersection(cond_entities)
+                        )
+                if not (self.trigger_entities or self.trigger_column_families):
+                    all_conditions_triggered = False
+                    break
+            if not all_conditions_triggered:  # clean up if rule not triggered
+                self.trigger_column_families = None
+                self.trigger_entities = None
+            return all_conditions_triggered
 
     def __repr__(self):
         # Append conditions
@@ -84,6 +210,10 @@ class Rule(Section):
                 is_first = False
             else:
                 rule_string += (", " + sugg)
+        if self.trigger_entities:
+            rule_string += (', entities:: ' + str(self.trigger_entities))
+        if self.trigger_column_families:
+            rule_string += (', col_fam:: ' + str(self.trigger_column_families))
         # Return constructed string
         return rule_string
 
@@ -98,18 +228,27 @@ class Suggestion(Section):
         super().__init__(name)
         self.option = None
         self.action = None
-        self.suggested_value = None
+        self.suggested_values = None
         self.description = None
 
     def set_parameter(self, key, value):
         if key == 'option':
+            # Note:
+            # case 1: 'option' is supported by Rocksdb OPTIONS file; in this
+            # case the option belongs to one of the sections in the config
+            # file and it's name is prefixed by "<section_type>."
+            # case 2: 'option' is not supported by Rocksdb OPTIONS file; the
+            # option is not expected to have the character '.' in its name
             self.option = value
         elif key == 'action':
             if self.option and not value:
                 raise ValueError(self.name + ': provide action for option')
             self.action = self.Action[value]
-        elif key == 'suggested_value':
-            self.suggested_value = value
+        elif key == 'suggested_values':
+            if isinstance(value, str):
+                self.suggested_values = [value]
+            else:
+                self.suggested_values = value
         elif key == 'description':
             self.description = value
 
@@ -119,33 +258,28 @@ class Suggestion(Section):
                 raise ValueError(self.name + ': provide option or description')
             if not self.action:
                 raise ValueError(self.name + ': provide action for option')
-            if self.action is self.Action.set and not self.suggested_value:
+            if self.action is self.Action.set and not self.suggested_values:
                 raise ValueError(
                     self.name + ': provide suggested value for option'
                 )
 
     def __repr__(self):
+        sugg_string = "Suggestion: " + self.name
         if self.description:
-            return self.description
-        sugg_string = ""
-        if self.action is self.Action.set:
-            sugg_string = (
-                self.name + ' suggests setting ' + self.option +
-                ' to ' + self.suggested_value
-            )
+            sugg_string += (' description : ' + self.description)
         else:
-            sugg_string = self.name + ' suggests ' + self.action.name + ' in '
-            sugg_string += (self.option + '.')
-            if self.suggested_value:
             sugg_string += (
-                    ' The suggested value is ' + self.suggested_value
+                ' option : ' + self.option + ' action : ' + self.action.name
+            )
+            if self.suggested_values:
+                sugg_string += (
+                    ' suggested_values : ' + str(self.suggested_values)
                 )
         return sugg_string
 
 
 class Condition(Section):
     def __init__(self, name):
-        # a rule is identified by its name, so there should be no duplicates
         super().__init__(name)
         self.data_source = None
         self.trigger = None
@@ -166,6 +300,9 @@ class Condition(Section):
     def set_trigger(self, condition_trigger):
         self.trigger = condition_trigger
 
+    def get_trigger(self):
+        return self.trigger
+
     def is_triggered(self):
         if self.trigger:
             return True
@@ -173,7 +310,7 @@ class Condition(Section):
 
     def set_parameter(self, key, value):
         # must be defined by the subclass
-        raise ValueError(self.name + ': provide source for condition')
+        raise NotImplementedError(self.name + ': provide source for condition')
 
 
 class LogCondition(Condition):
@@ -183,15 +320,9 @@ class LogCondition(Condition):
         base_condition.__class__ = cls
         return base_condition
 
-    class Scope(Enum):
-        database = 1
-        column_family = 2
-
     def set_parameter(self, key, value):
         if key == 'regex':
             self.regex = value
-        elif key == 'scope':
-            self.scope = self.Scope[value]
 
     def perform_checks(self):
         super().perform_checks()
@@ -199,10 +330,10 @@ class LogCondition(Condition):
             raise ValueError(self.name + ': provide regex for log condition')
 
     def __repr__(self):
-        log_cond_str = (
-            self.name + ' checks if the regex ' + self.regex + ' is found ' +
-            ' in the LOG file in the scope of ' + self.scope.name
-        )
+        log_cond_str = "LogCondition: " + self.name
+        log_cond_str += (" regex: " + self.regex)
+        # if self.trigger:
+        #     log_cond_str += (" trigger: " + str(self.trigger))
         return log_cond_str
 
 
@@ -215,8 +346,11 @@ class OptionCondition(Condition):
 
     def set_parameter(self, key, value):
         if key == 'options':
+            if isinstance(value, str):
+                self.options = [value]
+            else:
                 self.options = value
-        if key == 'evaluate':
+        elif key == 'evaluate':
             self.eval_expr = value
 
     def perform_checks(self):
@@ -227,15 +361,77 @@ class OptionCondition(Condition):
             raise ValueError(self.name + ': expression missing in condition')
 
     def __repr__(self):
-        log_cond_str = (
-            self.name + ' checks if the given expression evaluates to true'
-        )
-        return log_cond_str
+        opt_cond_str = "OptionCondition: " + self.name
+        opt_cond_str += (" options: " + str(self.options))
+        opt_cond_str += (" expression: " + self.eval_expr)
+        if self.trigger:
+            opt_cond_str += (" trigger: " + str(self.trigger))
+        return opt_cond_str
+
+
+class TimeSeriesCondition(Condition):
+    @classmethod
+    def create(cls, base_condition):
+        base_condition.set_data_source(DataSource.Type['TIME_SERIES'])
+        base_condition.__class__ = cls
+        return base_condition
+
+    def set_parameter(self, key, value):
+        if key == 'keys':
+            if isinstance(value, str):
+                self.keys = [value]
+            else:
+                self.keys = value
+        elif key == 'behavior':
+            self.behavior = TimeSeriesData.Behavior[value]
+        elif key == 'rate_threshold':
+            self.rate_threshold = float(value)
+        elif key == 'window_sec':
+            self.window_sec = int(value)
+        elif key == 'evaluate':
+            self.expression = value
+        elif key == 'aggregation_op':
+            self.aggregation_op = TimeSeriesData.AggregationOperator[value]
+
+    def perform_checks(self):
+        if not self.keys:
+            raise ValueError(self.name + ': specify timeseries key')
+        if not self.behavior:
+            raise ValueError(self.name + ': specify triggering behavior')
+        if self.behavior is TimeSeriesData.Behavior.bursty:
+            if not self.rate_threshold:
+                raise ValueError(self.name + ': specify rate burst threshold')
+            if not self.window_sec:
+                self.window_sec = 300  # default window length is 5 minutes
+            if len(self.keys) > 1:
+                raise ValueError(self.name + ': specify only one key')
+        elif self.behavior is TimeSeriesData.Behavior.evaluate_expression:
+            if not (self.expression):
+                raise ValueError(self.name + ': specify evaluation expression')
+        else:
+            raise ValueError(self.name + ': trigger behavior not supported')
+
+    def __repr__(self):
+        ts_cond_str = "TimeSeriesCondition: " + self.name
+        ts_cond_str += (" statistics: " + str(self.keys))
+        ts_cond_str += (" behavior: " + self.behavior.name)
+        if self.behavior is TimeSeriesData.Behavior.bursty:
+            ts_cond_str += (" rate_threshold: " + str(self.rate_threshold))
+            ts_cond_str += (" window_sec: " + str(self.window_sec))
+        if self.behavior is TimeSeriesData.Behavior.evaluate_expression:
+            ts_cond_str += (" expression: " + self.expression)
+            if hasattr(self, 'aggregation_op'):
+                ts_cond_str += (" aggregation_op: " + self.aggregation_op.name)
+        if self.trigger:
+            ts_cond_str += (" trigger: " + str(self.trigger))
+        return ts_cond_str
 
 
 class RulesSpec:
     def __init__(self, rules_path):
         self.file_path = rules_path
+
+    def initialise_fields(self):
         self.rules_dict = {}
         self.conditions_dict = {}
         self.suggestions_dict = {}
@@ -249,9 +445,13 @@ class RulesSpec:
             sugg.perform_checks()
 
     def load_rules_from_spec(self):
+        self.initialise_fields()
         with open(self.file_path, 'r') as db_rules:
             curr_section = None
             for line in db_rules:
+                line = IniParser.remove_trailing_comment(line)
+                if not line:
+                    continue
                 element = IniParser.get_element(line)
                 if element is IniParser.Element.comment:
                     continue
@@ -277,6 +477,8 @@ class RulesSpec:
                                 new_cond = LogCondition.create(new_cond)
                             elif value == 'OPTIONS':
                                 new_cond = OptionCondition.create(new_cond)
+                            elif value == 'TIME_SERIES':
+                                new_cond = TimeSeriesCondition.create(new_cond)
                         else:
                             new_cond.set_parameter(key, value)
                     elif curr_section is IniParser.Element.sugg:
@@ -291,75 +493,36 @@ class RulesSpec:
     def get_suggestions_dict(self):
         return self.suggestions_dict
 
+    def get_triggered_rules(self, data_sources, column_families):
+        self.trigger_conditions(data_sources)
+        triggered_rules = []
+        for rule in self.rules_dict.values():
+            if rule.is_triggered(self.conditions_dict, column_families):
+                triggered_rules.append(rule)
+        return triggered_rules
 
-def trigger_conditions(data_sources, conditions_dict):
-    for source in data_sources:
+    def trigger_conditions(self, data_sources):
+        for source_type in data_sources:
             cond_subset = [
                 cond
-            for cond in conditions_dict.values()
-            if cond.get_data_source() is source.type
+                for cond in self.conditions_dict.values()
+                if cond.get_data_source() is source_type
             ]
             if not cond_subset:
                 continue
+            for source in data_sources[source_type]:
                 source.check_and_trigger_conditions(cond_subset)
 
-
-def get_triggered_rules(rules_dict, conditions_dict):
-    triggered_rules = []
-    for rule in rules_dict.values():
-        if rule.is_triggered(conditions_dict):
-            triggered_rules.append(rule)
-    return triggered_rules
-
-
-def main(args):
-    # Load the rules with their conditions and suggestions.
-    db_rules = RulesSpec(args.rules_spec)
-    db_rules.load_rules_from_spec()
-    # Perform some basic sanity checks for each section.
-    db_rules.perform_section_checks()
-    rules_dict = db_rules.get_rules_dict()
-    conditions_dict = db_rules.get_conditions_dict()
-    suggestions_dict = db_rules.get_suggestions_dict()
-    print()
-    print('RULES')
-    for rule in rules_dict.values():
-        print(repr(rule))
-    print()
-    print('CONDITIONS')
-    for cond in conditions_dict.values():
-        print(repr(cond))
-    print()
-    print('SUGGESTIONS')
-    for sugg in suggestions_dict.values():
-        print(repr(sugg))
-
-    # Initialise the data sources.
-    data_sources = []
-    data_sources.append(DatabaseOptions(args.rocksdb_options))
-    data_sources.append(DatabaseLogs(args.rocksdb_log_prefix))
-
-    # Initialise the ConditionChecker with the provided data sources.
-    trigger_conditions(data_sources, conditions_dict)
-
-    # Check for the conditions read in from the Rules spec, if triggered.
-    print()
-    triggered_rules = get_triggered_rules(rules_dict, conditions_dict)
-    for rule in triggered_rules:
-        print('Rule: ' + rule.name + ' has been triggered and:')
-        rule_suggestions = rule.get_suggestions()
-        for sugg_name in rule_suggestions:
-            print(suggestions_dict[sugg_name])
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description='This script is used for\
-        gauging rocksdb performance using as input: Rocksdb LOG, OPTIONS,\
-        performance context, command-line statistics and statistics published\
-        on ODS and providing as output: suggestions to improve Rocksdb\
-        performance')
-    parser.add_argument('--rules_spec', required=True, type=str)
-    parser.add_argument('--rocksdb_options', required=True, type=str)
-    parser.add_argument('--rocksdb_log_prefix', required=True, type=str)
-    args = parser.parse_args()
-    main(args)
+    def print_rules(self, rules):
+        for rule in rules:
+            print('\nRule: ' + rule.name)
+            for cond_name in rule.conditions:
+                print(repr(self.conditions_dict[cond_name]))
+            for sugg_name in rule.suggestions:
+                print(repr(self.suggestions_dict[sugg_name]))
+            if rule.trigger_entities:
+                print('scope: entities:')
+                print(rule.trigger_entities)
+            if rule.trigger_column_families:
+                print('scope: col_fam:')
+                print(rule.trigger_column_families)

tools/advisor/advisor/rules.ini

@@ -3,24 +3,28 @@
 #  COPYING file in the root directory) and Apache 2.0 License
 #  (found in the LICENSE.Apache file in the root directory).
 #
-# This ini file is very similar to the Rocksdb ini file in terms of syntax.
+# FORMAT: very similar to the Rocksdb ini file in terms of syntax
 # (refer rocksdb/examples/rocksdb_option_file_example.ini)
-# It is made up of multiple sections and each section is made up of multiple
-# key-value pairs. Each section must have a name. The recognized sections are
-# Rule, Suggestion, Condition followed by their name in "" that acts as an
-# identifier. There should be at least one Rule section in the file.
 #
-# Each rule must be associated with at least one condition and one suggestion.
-# If a Rule is associated with multiple Conditions, then all the conditions
-# must be triggered in order for the Rule to be triggered.
-# The suggestions don't have any ordering amongst them as of now.
+# The Rules INI file is made up of multiple sections and each section is made
+# up of multiple key-value pairs. The recognized section types are:
+# Rule, Suggestion, Condition. Each section must have a name specified in ""
+# in the section header. This name acts as an identifier in that section
+# type's namespace. A section header looks like:
+# [<section_type> "<section_name_identifier>"]
 #
-# A Condition must be associated to a data source specified by the parameter
+# There should be at least one Rule section in the file with its corresponding
+# Condition and Suggestion sections. A Rule is triggered only when all of its
+# conditions are triggered. The order in which a Rule's conditions and
+# suggestions are specified has no significance.
+#
+# A Condition must be associated with a data source specified by the parameter
 # 'source' and this must be the first parameter specified for the Condition.
+# A condition can be associated with one or more Rules.
 #
-# A suggestion is an advised change to a database or column_family option to
-# improve the performance of the database in some way. Every suggestion is
-# is associated with one or more Rules.
+# A Suggestion is an advised change to a Rocksdb option to improve the
+# performance of the database in some way. Every suggestion can be a part of
+# one or more Rules.
 
 [Rule "stall-too-many-memtables"]
 suggestions=inc-bg-flush:inc-write-buffer
@@ -29,7 +33,6 @@ conditions=stall-too-many-memtables
 [Condition "stall-too-many-memtables"]
 source=LOG
 regex=Stopping writes because we have \d+ immutable memtables \(waiting for flush\), max_write_buffer_number is set to \d+
-scope=column_family
 
 [Rule "stall-too-many-L0"]
 suggestions=inc-max-subcompactions:inc-max-bg-compactions:inc-write-buffer-size:dec-max-bytes-for-level-base:inc-l0-slowdown-writes-trigger
@@ -38,7 +41,6 @@ conditions=stall-too-many-L0
 [Condition "stall-too-many-L0"]
 source=LOG
 regex=Stalling writes because we have \d+ level-0 files
-scope=column_family
 
 [Rule "stop-too-many-L0"]
 suggestions=inc-max-bg-compactions:inc-write-buffer-size:inc-l0-stop-writes-trigger
@@ -47,7 +49,6 @@ conditions=stop-too-many-L0
 [Condition "stop-too-many-L0"]
 source=LOG
 regex=Stopping writes because we have \d+ level-0 files
-scope=column_family
 
 [Rule "stall-too-many-compaction-bytes"]
 suggestions=inc-max-bg-compactions:inc-write-buffer-size:inc-hard-pending-compaction-bytes-limit:inc-soft-pending-compaction-bytes-limit
@@ -56,11 +57,11 @@ conditions=stall-too-many-compaction-bytes
 [Condition "stall-too-many-compaction-bytes"]
 source=LOG
 regex=Stalling writes because of estimated pending compaction bytes \d+
-scope=column_family
 
 [Suggestion "inc-bg-flush"]
 option=DBOptions.max_background_flushes
 action=increase
+suggested_values=2
 
 [Suggestion "inc-write-buffer"]
 option=CFOptions.max_write_buffer_number
@@ -73,6 +74,7 @@ action=increase
 [Suggestion "inc-max-bg-compactions"]
 option=DBOptions.max_background_compactions
 action=increase
+suggested_values=2
 
 [Suggestion "inc-write-buffer-size"]
 option=CFOptions.write_buffer_size
@@ -100,12 +102,113 @@ action=increase
 
 [Rule "level0-level1-ratio"]
 conditions=level0-level1-ratio
-suggestions=l0-l1-ratio-health-check
+suggestions=inc-base-max-bytes
 
 [Condition "level0-level1-ratio"]
 source=OPTIONS
 options=CFOptions.level0_file_num_compaction_trigger:CFOptions.write_buffer_size:CFOptions.max_bytes_for_level_base
-evaluate=int(options[0])*int(options[1])-int(options[2])<(-251659456)  # should evaluate to a boolean
+evaluate=int(options[0])*int(options[1])-int(options[2])>=1  # should evaluate to a boolean, condition triggered if evaluates to true
+
+[Suggestion "inc-base-max-bytes"]
+option=CFOptions.max_bytes_for_level_base
+action=increase
+
+[Rules "tuning-iostat-burst"]
+conditions=large-db-get-p99
+suggestions=bytes-per-sync-non0:wal-bytes-per-sync-non0:set-rate-limiter
+#overlap_time_period=10m
+
+[Condition "write-burst"]
+source=TIME_SERIES
+keys=dyno.flash_write_bytes_per_sec
+behavior=bursty
+window_sec=300  # the smaller this window, the more sensitivity to changes in the time series, so the rate_threshold should be bigger; when it's 60, then same as diff(%)
+rate_threshold=20
+
+[Condition "large-p99-read-latency"]
+source=TIME_SERIES
+keys=[]rocksdb.read.block.get.micros.p99
+behavior=bursty
+window_sec=300
+rate_threshold=10
+
+[Condition "large-db-get-p99"]
+source=TIME_SERIES
+keys=[]rocksdb.db.get.micros.p50:[]rocksdb.db.get.micros.p99
+behavior=evaluate_expression
+evaluate=(keys[1]/keys[0])>5
+
+[Suggestion "bytes-per-sync-non0"]
+option=DBOptions.bytes_per_sync
+action=set
+suggested_values=1048576
+
+[Suggestion "wal-bytes-per-sync-non0"]
+option=DBOptions.wal_bytes_per_sync
+action=set
+suggested_values=1048576
+
+[Suggestion "set-rate-limiter"]
+option=rate_limiter_bytes_per_sec
+action=set
+suggested_values=1024000
+
+[Rule "bloom-filter-percent-useful"]
+conditions=bloom-filter-percent-useful
+suggestions=inc-bloom-bits-per-key
+
+[Condition "bloom-filter-percent-useful"]
+source=TIME_SERIES
+keys=[]rocksdb.bloom.filter.useful.count:[]rocksdb.bloom.filter.full.positive.count:[]rocksdb.bloom.filter.full.true.positive.count
+behavior=evaluate_expression
+evaluate=((keys[0]+keys[2])/(keys[0]+keys[1]))<0.9  # should evaluate to a boolean
+aggregation_op=latest
+
+[Rule "bloom-not-enabled"]
+conditions=bloom-not-enabled
+suggestions=inc-bloom-bits-per-key
+
+[Condition "bloom-not-enabled"]
+source=TIME_SERIES
+keys=[]rocksdb.bloom.filter.useful.count:[]rocksdb.bloom.filter.full.positive.count:[]rocksdb.bloom.filter.full.true.positive.count
+behavior=evaluate_expression
+evaluate=keys[0]+keys[1]+keys[2]==0
+aggregation_op=avg
+
+[Suggestion "inc-bloom-bits-per-key"]
+option=bloom_bits
+action=increase
+suggested_values=2
+
+[Rule "small-l0-files"]
+conditions=small-l0-files
+suggestions=dec-max-bytes-for-level-base:inc-write-buffer-size
+
+[Condition "small-l0-files"]
+source=OPTIONS
+options=CFOptions.max_bytes_for_level_base:CFOptions.level0_file_num_compaction_trigger:CFOptions.write_buffer_size
+evaluate=int(options[0])>(10*int(options[1])*int(options[2]))
+
+[Rule "decompress-time-long"]
+conditions=decompress-time-long
+suggestions=dec-block-size:inc-block-cache-size:faster-compression-type
+
+[Condition "decompress-time-long"]
+source=TIME_SERIES
+keys=block_decompress_time:block_read_time:block_checksum_time
+behavior=evaluate_expression
+evaluate=(keys[0]/(keys[0]+keys[1]+keys[2]))>0.3
+
+[Suggestion "dec-block-size"]
+option=TableOptions.BlockBasedTable.block_size
+action=decrease
+
+[Suggestion "inc-block-cache-size"]
+option=cache_size
+action=increase
+suggested_values=16000000
 
-[Suggestion "l0-l1-ratio-health-check"]
-description='modify options such that (level0_file_num_compaction_trigger * write_buffer_size - max_bytes_for_level_base < 5) is satisfied'
+[Suggestion "faster-compression-type"]
+option=CFOptions.compression
+action=set
+suggested_values=kLZ4Compression

tools/advisor/test/input_files/LOG-0

@@ -23,3 +23,8 @@
 2018/05/25-14:34:21.048592 7f82bd676200 [DEBUG] [db/db_impl_files.cc:261] [JOB 45] Delete /tmp/rocksdbtest-155919/dbbench/000084.sst type=2 #84 -- OK
 2018/05/25-14:34:21.048603 7f82bd676200 EVENT_LOG_v1 {"time_micros": 1527284061048600, "job": 45, "event": "table_file_deletion", "file_number": 84}
 2018/05/25-14:34:21.048981 7f82bd676200 [db/db_impl.cc:398] Shutdown complete
+2018/05/25-14:34:21.049000 7f82bd676200 [db/db_impl.cc:563] [col-fam-A] random log message for testing
+2018/05/25-14:34:21.049010 7f82bd676200 [db/db_impl.cc:234] [col-fam-B] log continuing on next line
+remaining part of the log
+2018/05/25-14:34:21.049020 7f82bd676200 [db/db_impl.cc:653] [col-fam-A] another random log message
+2018/05/25-14:34:21.049025 7f82bd676200 [db/db_impl.cc:331] [unknown] random log message no column family

tools/advisor/test/input_files/rules_err1.ini

@@ -5,7 +5,6 @@ conditions=missing-source
 [Condition "normal-rule"]
 source=LOG
 regex=Stopping writes because we have \d+ immutable memtables \(waiting for flush\), max_write_buffer_number is set to \d+
-scope=column_family
 
 [Suggestion "inc-bg-flush"]
 option=DBOptions.max_background_flushes
@@ -43,7 +42,6 @@ conditions=missing-regex
 [Condition "missing-regex"]
 source=LOG
 regex=
-scope=column_family
 
 [Suggestion "missing-option"]
 option=

tools/advisor/test/input_files/rules_err2.ini

@@ -5,7 +5,6 @@ conditions=missing-source
 [Condition "missing-source"]
 source=
 regex=Stopping writes because we have \d+ immutable memtables \(waiting for flush\), max_write_buffer_number is set to \d+
-scope=column_family
 
 [Suggestion "inc-bg-flush"]
 option=DBOptions.max_background_flushes

tools/advisor/test/input_files/rules_err3.ini

@@ -5,7 +5,6 @@ conditions=missing-source
 [Condition "normal-condition"]
 source=LOG
 regex=Stopping writes because we have \d+ immutable memtables \(waiting for flush\), max_write_buffer_number is set to \d+
-scope=column_family
 
 [Suggestion "missing-action"]
 option=DBOptions.max_background_flushes

tools/advisor/test/input_files/rules_err4.ini

@@ -5,7 +5,6 @@ conditions=missing-source
 [Condition "normal-condition"]
 source=LOG
 regex=Stopping writes because we have \d+ immutable memtables \(waiting for flush\), max_write_buffer_number is set to \d+
-scope=column_family
 
 [Suggestion "inc-bg-flush"]
 option=DBOptions.max_background_flushes

tools/advisor/test/input_files/test_rules.ini

@@ -17,22 +17,18 @@ conditions=log-4-false:options-1-false
 [Condition "log-1-true"]
 source=LOG
 regex=Stopping writes because we have \d+ immutable memtables \(waiting for flush\), max_write_buffer_number is set to \d+
-scope=column_family
 
 [Condition "log-2-true"]
 source=LOG
 regex=Stalling writes because we have \d+ level-0 files
-scope=column_family
 
 [Condition "log-3-true"]
 source=LOG
 regex=Stopping writes because we have \d+ level-0 files
-scope=column_family
 
 [Condition "log-4-false"]
 source=LOG
 regex=Stalling writes because of estimated pending compaction bytes \d+
-scope=column_family
 
 [Condition "options-1-false"]
 source=OPTIONS

tools/advisor/test/input_files/triggered_rules.ini

@@ -0,0 +1,83 @@
+[Rule "stall-too-many-memtables"]
+suggestions=inc-bg-flush:inc-write-buffer
+conditions=stall-too-many-memtables
+
+[Condition "stall-too-many-memtables"]
+source=LOG
+regex=Stopping writes because we have \d+ immutable memtables \(waiting for flush\), max_write_buffer_number is set to \d+
+
+[Rule "stall-too-many-L0"]
+suggestions=inc-max-subcompactions:inc-max-bg-compactions:inc-write-buffer-size:dec-max-bytes-for-level-base:inc-l0-slowdown-writes-trigger
+conditions=stall-too-many-L0
+
+[Condition "stall-too-many-L0"]
+source=LOG
+regex=Stalling writes because we have \d+ level-0 files
+
+[Rule "stop-too-many-L0"]
+suggestions=inc-max-bg-compactions:inc-write-buffer-size:inc-l0-stop-writes-trigger
+conditions=stop-too-many-L0
+
+[Condition "stop-too-many-L0"]
+source=LOG
+regex=Stopping writes because we have \d+ level-0 files
+
+[Rule "stall-too-many-compaction-bytes"]
+suggestions=inc-max-bg-compactions:inc-write-buffer-size:inc-hard-pending-compaction-bytes-limit:inc-soft-pending-compaction-bytes-limit
+conditions=stall-too-many-compaction-bytes
+
+[Condition "stall-too-many-compaction-bytes"]
+source=LOG
+regex=Stalling writes because of estimated pending compaction bytes \d+
+
+[Suggestion "inc-bg-flush"]
+option=DBOptions.max_background_flushes
+action=increase
+
+[Suggestion "inc-write-buffer"]
+option=CFOptions.max_write_buffer_number
+action=increase
+
+[Suggestion "inc-max-subcompactions"]
+option=DBOptions.max_subcompactions
+action=increase
+
+[Suggestion "inc-max-bg-compactions"]
+option=DBOptions.max_background_compactions
+action=increase
+
+[Suggestion "inc-write-buffer-size"]
+option=CFOptions.write_buffer_size
+action=increase
+
+[Suggestion "dec-max-bytes-for-level-base"]
+option=CFOptions.max_bytes_for_level_base
+action=decrease
+
+[Suggestion "inc-l0-slowdown-writes-trigger"]
+option=CFOptions.level0_slowdown_writes_trigger
+action=increase
+
+[Suggestion "inc-l0-stop-writes-trigger"]
+option=CFOptions.level0_stop_writes_trigger
+action=increase
+
+[Suggestion "inc-hard-pending-compaction-bytes-limit"]
+option=CFOptions.hard_pending_compaction_bytes_limit
+action=increase
+
+[Suggestion "inc-soft-pending-compaction-bytes-limit"]
+option=CFOptions.soft_pending_compaction_bytes_limit
+action=increase
+
+[Rule "level0-level1-ratio"]
+conditions=level0-level1-ratio
+suggestions=l0-l1-ratio-health-check
+
+[Condition "level0-level1-ratio"]
+source=OPTIONS
+options=CFOptions.level0_file_num_compaction_trigger:CFOptions.write_buffer_size:CFOptions.max_bytes_for_level_base
+evaluate=int(options[0])*int(options[1])-int(options[2])>=-268173312  # should evaluate to a boolean, condition triggered if evaluates to true
+
+[Suggestion "l0-l1-ratio-health-check"]
+description='modify options such that (level0_file_num_compaction_trigger * write_buffer_size - max_bytes_for_level_base < -268173312) is satisfied'

tools/advisor/test/test_db_log_parser.py

@@ -0,0 +1,98 @@
+from advisor.db_log_parser import DatabaseLogs, Log, NO_COL_FAMILY
+from advisor.rule_parser import Condition, LogCondition
+import os
+import unittest
+
+
+class TestLog(unittest.TestCase):
+    def setUp(self):
+        self.column_families = ['default', 'col_fam_A']
+
+    def test_get_column_family(self):
+        test_log = (
+            "2018/05/25-14:34:21.047233 7f82ba72e700 [db/flush_job.cc:371] " +
+            "[col_fam_A] [JOB 44] Level-0 flush table #84: 1890780 bytes OK"
+        )
+        db_log = Log(test_log, self.column_families)
+        self.assertEqual('col_fam_A', db_log.get_column_family())
+
+        test_log = (
+            "2018/05/25-14:34:21.047233 7f82ba72e700 [db/flush_job.cc:371] " +
+            "[JOB 44] Level-0 flush table #84: 1890780 bytes OK"
+        )
+        db_log = Log(test_log, self.column_families)
+        db_log.append_message('[default] some remaining part of log')
+        self.assertEqual(NO_COL_FAMILY, db_log.get_column_family())
+
+    def test_get_methods(self):
+        hr_time = "2018/05/25-14:30:25.491635"
+        context = "7f82ba72e700"
+        message = (
+            "[db/flush_job.cc:331] [default] [JOB 10] Level-0 flush table " +
+            "#23: started"
+        )
+        test_log = hr_time + " " + context + " " + message
+        db_log = Log(test_log, self.column_families)
+        self.assertEqual(db_log.get_message(), message)
+        remaining_message = "[col_fam_A] some more logs"
+        db_log.append_message(remaining_message)
+        self.assertEqual(
+            db_log.get_human_readable_time(), "2018/05/25-14:30:25.491635"
+        )
+        self.assertEqual(db_log.get_context(), "7f82ba72e700")
+        self.assertEqual(db_log.get_timestamp(), 1527258625)
+        self.assertEqual(
+            db_log.get_message(), str(message + '\n' + remaining_message)
+        )
+
+    def test_is_new_log(self):
+        new_log = "2018/05/25-14:34:21.047233 context random new log"
+        remaining_log = "2018/05/25 not really a new log"
+        self.assertTrue(Log.is_new_log(new_log))
+        self.assertFalse(Log.is_new_log(remaining_log))
+
+
+class TestDatabaseLogs(unittest.TestCase):
+    def test_check_and_trigger_conditions(self):
+        this_path = os.path.abspath(os.path.dirname(__file__))
+        logs_path_prefix = os.path.join(this_path, 'input_files/LOG-0')
+        column_families = ['default', 'col-fam-A', 'col-fam-B']
+        db_logs = DatabaseLogs(logs_path_prefix, column_families)
+        # matches, has 2 col_fams
+        condition1 = LogCondition.create(Condition('cond-A'))
+        condition1.set_parameter('regex', 'random log message')
+        # matches, multiple lines message
+        condition2 = LogCondition.create(Condition('cond-B'))
+        condition2.set_parameter('regex', 'continuing on next line')
+        # does not match
+        condition3 = LogCondition.create(Condition('cond-C'))
+        condition3.set_parameter('regex', 'this should match no log')
+        db_logs.check_and_trigger_conditions(
+            [condition1, condition2, condition3]
+        )
+        cond1_trigger = condition1.get_trigger()
+        self.assertEqual(2, len(cond1_trigger.keys()))
+        self.assertSetEqual(
+            {'col-fam-A', NO_COL_FAMILY}, set(cond1_trigger.keys())
+        )
+        self.assertEqual(2, len(cond1_trigger['col-fam-A']))
+        messages = [
+            "[db/db_impl.cc:563] [col-fam-A] random log message for testing",
+            "[db/db_impl.cc:653] [col-fam-A] another random log message"
+        ]
+        self.assertIn(cond1_trigger['col-fam-A'][0].get_message(), messages)
+        self.assertIn(cond1_trigger['col-fam-A'][1].get_message(), messages)
+        self.assertEqual(1, len(cond1_trigger[NO_COL_FAMILY]))
+        self.assertEqual(
+            cond1_trigger[NO_COL_FAMILY][0].get_message(),
+            "[db/db_impl.cc:331] [unknown] random log message no column family"
+        )
+        cond2_trigger = condition2.get_trigger()
+        self.assertEqual(['col-fam-B'], list(cond2_trigger.keys()))
+        self.assertEqual(1, len(cond2_trigger['col-fam-B']))
+        self.assertEqual(
+            cond2_trigger['col-fam-B'][0].get_message(),
+            "[db/db_impl.cc:234] [col-fam-B] log continuing on next line\n" +
+            "remaining part of the log"
+        )
+        self.assertIsNone(condition3.get_trigger())

tools/advisor/test/test_rule_parser.py

@@ -5,8 +5,9 @@
 
 import os
 import unittest
-from advisor.rule_parser import RulesSpec, DatabaseLogs, DatabaseOptions
-from advisor.rule_parser import get_triggered_rules, trigger_conditions
+from advisor.rule_parser import RulesSpec
+from advisor.db_log_parser import DatabaseLogs, DataSource
+from advisor.db_options_parser import DatabaseOptions
 
 RuleToSuggestions = {
     "stall-too-many-memtables": [
@@ -41,16 +42,17 @@ class TestAllRulesTriggered(unittest.TestCase):
     def setUp(self):
         # load the Rules
         this_path = os.path.abspath(os.path.dirname(__file__))
-        ini_path = os.path.join(this_path, '../advisor/rules.ini')
+        ini_path = os.path.join(this_path, 'input_files/triggered_rules.ini')
         self.db_rules = RulesSpec(ini_path)
         self.db_rules.load_rules_from_spec()
         self.db_rules.perform_section_checks()
         # load the data sources: LOG and OPTIONS
         log_path = os.path.join(this_path, 'input_files/LOG-0')
         options_path = os.path.join(this_path, 'input_files/OPTIONS-000005')
-        self.data_sources = []
-        self.data_sources.append(DatabaseOptions(options_path))
-        self.data_sources.append(DatabaseLogs(log_path))
+        db_options_parser = DatabaseOptions(options_path)
+        self.column_families = db_options_parser.get_column_families()
+        db_logs_parser = DatabaseLogs(log_path, self.column_families)
+        self.data_sources = [db_options_parser, db_logs_parser]
 
     def test_triggered_conditions(self):
         conditions_dict = self.db_rules.get_conditions_dict()
@@ -59,18 +61,25 @@ class TestAllRulesTriggered(unittest.TestCase):
         for cond in conditions_dict.values():
             self.assertFalse(cond.is_triggered(), repr(cond))
         for rule in rules_dict.values():
-            self.assertFalse(rule.is_triggered(conditions_dict), repr(rule))
+            self.assertFalse(
+                rule.is_triggered(conditions_dict, self.column_families),
+                repr(rule)
+            )
 
-        # Trigger the conditions as per the data sources.
-        trigger_conditions(self.data_sources, conditions_dict)
+        # # Trigger the conditions as per the data sources.
+        # trigger_conditions(, conditions_dict)
+
+        # Get the set of rules that have been triggered
+        triggered_rules = self.db_rules.get_triggered_rules(
+            self.data_sources, self.column_families
+        )
 
         # Make sure each condition and rule is triggered
         for cond in conditions_dict.values():
+            if cond.get_data_source() is DataSource.Type.TIME_SERIES:
+                continue
             self.assertTrue(cond.is_triggered(), repr(cond))
 
-        # Get the set of rules that have been triggered
-        triggered_rules = get_triggered_rules(rules_dict, conditions_dict)
-
         for rule in rules_dict.values():
             self.assertIn(rule, triggered_rules)
             # Check the suggestions made by the triggered rules
@@ -94,9 +103,10 @@ class TestConditionsConjunctions(unittest.TestCase):
         # load the data sources: LOG and OPTIONS
         log_path = os.path.join(this_path, 'input_files/LOG-1')
         options_path = os.path.join(this_path, 'input_files/OPTIONS-000005')
-        self.data_sources = []
-        self.data_sources.append(DatabaseOptions(options_path))
-        self.data_sources.append(DatabaseLogs(log_path))
+        db_options_parser = DatabaseOptions(options_path)
+        self.column_families = db_options_parser.get_column_families()
+        db_logs_parser = DatabaseLogs(log_path, self.column_families)
+        self.data_sources = [db_options_parser, db_logs_parser]
 
     def test_condition_conjunctions(self):
         conditions_dict = self.db_rules.get_conditions_dict()
@@ -105,10 +115,13 @@ class TestConditionsConjunctions(unittest.TestCase):
         for cond in conditions_dict.values():
             self.assertFalse(cond.is_triggered(), repr(cond))
         for rule in rules_dict.values():
-            self.assertFalse(rule.is_triggered(conditions_dict), repr(rule))
+            self.assertFalse(
+                rule.is_triggered(conditions_dict, self.column_families),
+                repr(rule)
+            )
 
         # Trigger the conditions as per the data sources.
-        trigger_conditions(self.data_sources, conditions_dict)
+        self.db_rules.trigger_conditions(self.data_sources)
 
         # Check for the conditions
         conds_triggered = ['log-1-true', 'log-2-true', 'log-3-true']
@@ -125,14 +138,16 @@ class TestConditionsConjunctions(unittest.TestCase):
             'multiple-conds-one-false',
             'multiple-conds-all-false'
         ]
-        for rule in rules_triggered:
+        for rule_name in rules_triggered:
+            rule = rules_dict[rule_name]
             self.assertTrue(
-                rules_dict[rule].is_triggered(conditions_dict),
+                rule.is_triggered(conditions_dict, self.column_families),
                 repr(rule)
             )
-        for rule in rules_not_triggered:
+        for rule_name in rules_not_triggered:
+            rule = rules_dict[rule_name]
             self.assertFalse(
-                rules_dict[rule].is_triggered(conditions_dict),
+                rule.is_triggered(conditions_dict, self.column_families),
                 repr(rule)
             )
 
@@ -191,7 +206,7 @@ class TestParsingErrors(unittest.TestCase):
         ini_path = os.path.join(self.this_path, 'input_files/rules_err2.ini')
         db_rules = RulesSpec(ini_path)
         regex = '.*provide source for condition.*'
-        with self.assertRaisesRegex(ValueError, regex):
+        with self.assertRaisesRegex(NotImplementedError, regex):
             db_rules.load_rules_from_spec()
 
     def test_suggestion_missing_action(self):
@@ -204,7 +219,7 @@ class TestParsingErrors(unittest.TestCase):
     def test_section_no_name(self):
         ini_path = os.path.join(self.this_path, 'input_files/rules_err4.ini')
         db_rules = RulesSpec(ini_path)
-        regex = 'Parsing error: section header be like:.*'
+        regex = 'Parsing error: needed section header:.*'
         with self.assertRaisesRegex(ValueError, regex):
             db_rules.load_rules_from_spec()