summaryrefslogtreecommitdiff
path: root/src/couchdb/couch_stats_aggregator.erl
blob: 97f6bc14a5c6d92f92def5048a2317128553a164 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
% Licensed under the Apache License, Version 2.0 (the "License"); you may not
% use this file except in compliance with the License.  You may obtain a copy of
% the License at
%
%   http://www.apache.org/licenses/LICENSE-2.0
%
% Unless required by applicable law or agreed to in writing, software
% distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
% WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  See the
% License for the specific language governing permissions and limitations under
% the License.

-module(couch_stats_aggregator).
-include("couch_stats.hrl").

-behaviour(gen_server).

-export([init/1, handle_call/3, handle_cast/2, handle_info/2,
        terminate/2, code_change/3]).

-export([start/0, stop/0, 
         get/1, get/2, get_json/1, get_json/2, all/0,
         time_passed/0, clear_aggregates/1]).

-record(state, {
    aggregates = []
}).

-define(COLLECTOR, couch_stats_collector).
-define(QUEUE_MAX_LENGTH, 900). % maximimum number of seconds

% PUBLIC API

start() ->
    gen_server:start_link({local, ?MODULE}, ?MODULE, [], []).
    
stop() ->
    gen_server:call(?MODULE, stop).

get(Key) ->
    gen_server:call(?MODULE, {get, Key}).
get(Key, Time) ->
    gen_server:call(?MODULE, {get, Key, Time}).

get_json(Key) ->
    gen_server:call(?MODULE, {get_json, Key}).
get_json(Key, Time) ->
    gen_server:call(?MODULE, {get_json, Key, Time}).
    
time_passed() ->
    gen_server:call(?MODULE, time_passed).

clear_aggregates(Time) -> 
    gen_server:call(?MODULE, {clear_aggregates, Time}).

all() ->
    gen_server:call(?MODULE, all).

% GEN_SERVER
    
init(_) ->
    ets:new(?MODULE, [named_table, set, protected]),
    init_timers(),
    {ok, #state{}}.

handle_call({get, Key}, _, State) ->
    Value = get_aggregate(Key, State),
    {reply, Value, State};

handle_call({get, Key, Time}, _, State) ->
    Value = get_aggregate(Key, State, Time),
    {reply, Value, State};

handle_call({get_json, Key}, _, State) ->
    Value = aggregate_to_json_term(get_aggregate(Key, State)),
    {reply, Value, State};

handle_call({get_json, Key, Time}, _, State) ->
    Value = aggregate_to_json_term(get_aggregate(Key, State, Time)),
    {reply, Value, State};

handle_call(time_passed, _, OldState) ->

    % the foldls below could probably be refactored into a less code-duping form

    % update aggregates on incremental counters
    NextState = lists:foldl(fun(Counter, State) -> 
        {Key, Value} = Counter,
        update_aggregates_loop(Key, Value, State, incremental)
    end, OldState, ?COLLECTOR:all(incremental)),

    % update aggregates on absolute value counters
    NewState = lists:foldl(fun(Counter, State) -> 
        {Key, Value} = Counter,
        % clear the counter, we've got the important bits in State
        ?COLLECTOR:clear(Key),
        update_aggregates_loop(Key, Value, State, absolute)
    end, NextState, ?COLLECTOR:all(absolute)),

    {reply, ok, NewState};

handle_call({clear_aggregates, Time}, _, State) ->
    {reply, ok, do_clear_aggregates(Time, State)};

handle_call(all, _ , State) ->
    Results = do_get_all(State),
    {reply, Results, State};

handle_call(stop, _, State) ->
    {stop, normal, stopped, State}.


% PRIVATE API

% Stats = [{Key, TimesProplist}]
% TimesProplist = [{Time, Aggrgates}]
% Aggregates = #aggregates{}
% 
% [
%  {Key, [
%             {TimeA, #aggregates{}},
%             {TimeB, #aggregates{}},
%             {TimeC, #aggregates{}},
%             {TimeD, #aggregates{}}
%        ]
%  },
%  
% ]

%% clear the aggregats record for a specific Time = 60 | 300 | 900
do_clear_aggregates(Time, #state{aggregates=Stats}) ->
    NewStats = lists:map(fun({Key, TimesProplist}) ->
        {Key, case proplists:lookup(Time, TimesProplist) of
            % do have stats for this key, if we don't, return Stat unmodified
            none -> 
                TimesProplist;
            % there are stats, let's unset the Time one
            {_Time, _Stat} ->
                [{Time, #aggregates{}} | proplists:delete(Time, TimesProplist)]
        end}
    end, Stats),
    #state{aggregates=NewStats}.

%% default Time is 0, which is when CouchDB started
get_aggregate(Key, State) ->
    get_aggregate(Key, State, '0').
get_aggregate(Key, #state{aggregates=StatsList}, Time) ->
    Aggregates = case proplists:lookup(Key, StatsList) of
        % if we don't have any data here, return an empty record
        none -> #aggregates{};
        {Key, Stats} ->
            case proplists:lookup(Time, Stats) of
                none -> #aggregates{}; % empty record again
                {Time, Stat} -> Stat
            end
    end,
    Aggregates.

%% updates all aggregates for Key
update_aggregates_loop(Key, Values, State, CounterType) ->
    #state{aggregates=AllStats} = State,
    % if we don't have any aggregates yet, put a list of empty atoms in
    % so we can loop over them in update_aggregates().
    % [{{httpd,requests},
    %              [{'0',{aggregates,1,1,1,0,0,1,1}},
    %               {'60',{aggregates,1,1,1,0,0,1,1}},
    %               {'300',{aggregates,1,1,1,0,0,1,1}},
    %               {'900',{aggregates,1,1,1,0,0,1,1}}]}]
    [{_Key, StatsList}] = case proplists:lookup(Key, AllStats) of
        none -> [{Key, [
                {'0', empty}, 
                {'60', empty},
                {'300', empty},
                {'900', empty}
             ]}];
        AllStatsMatch -> 
        [AllStatsMatch]
    end,

    % if we  get called with a single value, wrap in in a list
    ValuesList = case is_list(Values) of
        false -> [Values];
        _True -> Values
    end,

    % loop over all Time's
    NewStats = lists:map(fun({Time, Stats}) ->
        % loop over all values for Key
        lists:foldl(fun(Value, Stat) ->
            {Time, update_aggregates(Value, Stat, CounterType)}
        end, Stats, ValuesList)
    end, StatsList),

    % put the newly calculated aggregates into State and delete the previous
    % entry
    #state{aggregates=[{Key, NewStats} | proplists:delete(Key, AllStats)]}.

% does the actual updating of the aggregate record
update_aggregates(Value, Stat, CounterType) ->
    case Stat of
        % the first time this is called, we don't have to calculate anything
        % we just populate the record with Value
        empty -> #aggregates{
            min=Value,
            max=Value,
            mean=Value,
            variance=0,
            stddev=0,
            count=1,
            last=Value
        };
        % this sure could look nicer -- any ideas?
        StatsRecord ->
            #aggregates{
                min=Min,
                max=Max,
                mean=Mean,
                variance=Variance,
                count=Count,
                last=Last
            } = StatsRecord,

            % incremental counters need to keep track of the last update's value
            NewValue = case CounterType of
                incremental -> Value - Last;
                absolute -> Value
            end,
                % Knuth, The Art of Computer Programming, vol. 2, p. 232. 
                NewCount = Count + 1,
                NewMean = Mean + (NewValue - Mean) / NewCount, % NewCount is never 0.
                NewVariance = Variance + (NewValue - Mean) * (NewValue - NewMean),
                #aggregates{
                    min=lists:min([NewValue, Min]),
                    max=lists:max([NewValue, Max]),
                    mean=NewMean,
                    variance=NewVariance,
                    stddev=math:sqrt(NewVariance / NewCount),
                    count=NewCount,
                    last=Value
                }
    end.


aggregate_to_json_term(#aggregates{min=Min,max=Max,mean=Mean,stddev=Stddev,count=Count}) ->
    {[
        % current is redundant, but reads nicer in JSON
        {current, Count},
        {count, Count},
        {mean, Mean},
        {min, Min},
        {max, Max},
        {stddev, Stddev},
        {resolution, 1}
    ]}.

get_stats(Key, State) ->
    aggregate_to_json_term(get_aggregate(Key, State)).

% convert ets2list() list into JSON-erlang-terms.
% Thanks to Paul Davis
do_get_all(#state{aggregates=Stats}=State) ->
    case Stats of
        [] -> {[{ok, no_stats_yet}]};
        _ ->
        [{LastMod, LastVals} | LastRestMods] = lists:foldl(fun({{Module, Key}, _Count}, AccIn) ->
              case AccIn of
                  [] ->
                      [{Module, [{Key, get_stats({Module, Key}, State)}]}];
                  [{Module, PrevVals} | RestMods] ->
                      [{Module, [{Key, get_stats({Module, Key}, State)} | PrevVals]} | RestMods];
                  [{OtherMod, ModVals} | RestMods] ->
                      [{Module, [{Key, get_stats({Module, Key}, State)}]}, {OtherMod, {lists:reverse(ModVals)}} | RestMods]
              end
          end, [], lists:sort(Stats)),
          {[{LastMod, {lists:sort(LastVals)}} | LastRestMods]}
    end.

% Timer

init_timers() ->
    
    % OTP docs on timer: http://erlang.org/doc/man/timer.html
    %   start() -> ok
    %   Starts the timer server. Normally, the server does not need to be 
    %   started explicitly. It is started dynamically if it is needed. This is 
    %   useful during development, but in a target system the server should be 
    %   started explicitly. Use configuration parameters for kernel for this.
    %
    % TODO: Add timer_start to kernel start options.


    % start timers every second, minute, five minutes and fifteen minutes
    % in the rare event of a timer death, couch_stats_aggregator will die,
    % too and restarted by the supervision tree, all stats (for the last
    % fifteen minutes) are gone.

    {ok, _} = timer:apply_interval(1000, ?MODULE, time_passed, []),
    {ok, _} = timer:apply_interval(6000, ?MODULE, clear_aggregates, ['60']),
    {ok, _} = timer:apply_interval(30000, ?MODULE, clear_aggregates, ['300']),
    {ok, _} = timer:apply_interval(90000, ?MODULE, clear_aggregates, ['900']).


% Unused gen_server behaviour API functions that we need to declare.
  
%% @doc Unused
handle_cast(foo, State) ->
    {noreply, State}.

handle_info(_Info, State) ->
    {noreply, State}.

%% @doc Unused
terminate(_Reason, _State) -> ok.

%% @doc Unused
code_change(_OldVersion, State, _Extra) -> {ok, State}.


%% Tests

-ifdef(TEST).
% Internal API unit tests go here


-endif.