prosody
2f3b08ad9b8a
util/statistics.lua

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util/statistics.lua @ 8716:2f3b08ad9b8a

luacheckrc: Forget about _G.hosts, things should use _G.prosody.hosts
author Kim Alvefur <zash@zash.se>
date Thu, 29 Mar 2018 16:42:24 +0200
parent 7988:dc758422d896
child 10314:bbc879eab1bf
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rev   line source
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1 local t_sort = table.sort
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2 local m_floor = math.floor;
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3 local time = require "util.time".now;
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4
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5 local function nop_function() end
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6
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7 local function percentile(arr, length, pc)
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8 local n = pc/100 * (length + 1);
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9 local k, d = m_floor(n), n%1;
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10 if k == 0 then
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11 return arr[1] or 0;
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12 elseif k >= length then
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13 return arr[length];
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14 end
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15 return arr[k] + d*(arr[k+1] - arr[k]);
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16 end
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17
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18 local function new_registry(config)
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19 config = config or {};
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20 local duration_sample_interval = config.duration_sample_interval or 5;
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21 local duration_max_samples = config.duration_max_stored_samples or 5000;
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22
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23 local function get_distribution_stats(events, n_actual_events, since, new_time, units)
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24 local n_stored_events = #events;
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25 t_sort(events);
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26 local sum = 0;
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27 for i = 1, n_stored_events do
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28 sum = sum + events[i];
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29 end
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30
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31 return {
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32 samples = events;
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33 sample_count = n_stored_events;
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34 count = n_actual_events,
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35 rate = n_actual_events/(new_time-since);
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36 average = n_stored_events > 0 and sum/n_stored_events or 0,
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37 min = events[1] or 0,
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38 max = events[n_stored_events] or 0,
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39 units = units,
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40 };
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41 end
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42
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43
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44 local registry = {};
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45 local methods;
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46 methods = {
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47 amount = function (name, initial)
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48 local v = initial or 0;
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49 registry[name..":amount"] = function () return "amount", v; end
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50 return function (new_v) v = new_v; end
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51 end;
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52 counter = function (name, initial)
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53 local v = initial or 0;
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54 registry[name..":amount"] = function () return "amount", v; end
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55 return function (delta)
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56 v = v + delta;
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57 end;
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58 end;
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59 rate = function (name)
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60 local since, n = time(), 0;
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61 registry[name..":rate"] = function ()
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62 local t = time();
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63 local stats = {
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64 rate = n/(t-since);
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65 count = n;
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66 };
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67 since, n = t, 0;
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68 return "rate", stats.rate, stats;
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69 end;
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70 return function ()
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71 n = n + 1;
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72 end;
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73 end;
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74 distribution = function (name, unit, type)
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75 type = type or "distribution";
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76 local events, last_event = {}, 0;
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77 local n_actual_events = 0;
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78 local since = time();
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79
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80 registry[name..":"..type] = function ()
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81 local new_time = time();
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82 local stats = get_distribution_stats(events, n_actual_events, since, new_time, unit);
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83 events, last_event = {}, 0;
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84 n_actual_events = 0;
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85 since = new_time;
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86 return type, stats.average, stats;
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87 end;
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88
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89 return function (value)
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90 n_actual_events = n_actual_events + 1;
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91 if n_actual_events%duration_sample_interval == 1 then
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92 last_event = (last_event%duration_max_samples) + 1;
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93 events[last_event] = value;
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94 end
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95 end;
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96 end;
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97 sizes = function (name)
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98 return methods.distribution(name, "bytes", "size");
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99 end;
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100 times = function (name)
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101 local events, last_event = {}, 0;
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102 local n_actual_events = 0;
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103 local since = time();
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104
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105 registry[name..":duration"] = function ()
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106 local new_time = time();
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107 local stats = get_distribution_stats(events, n_actual_events, since, new_time, "seconds");
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108 events, last_event = {}, 0;
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109 n_actual_events = 0;
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110 since = new_time;
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111 return "duration", stats.average, stats;
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112 end;
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113
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114 return function ()
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115 n_actual_events = n_actual_events + 1;
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116 if n_actual_events%duration_sample_interval ~= 1 then
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117 return nop_function;
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118 end
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119
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120 local start_time = time();
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121 return function ()
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122 local end_time = time();
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123 local duration = end_time - start_time;
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124 last_event = (last_event%duration_max_samples) + 1;
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125 events[last_event] = duration;
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126 end
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127 end;
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128 end;
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129
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130 get_stats = function ()
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131 return registry;
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132 end;
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133 };
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134 return methods;
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135 end
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136
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137 return {
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138 new = new_registry;
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139 get_histogram = function (duration, n_buckets)
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140 n_buckets = n_buckets or 100;
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141 local events, n_events = duration.samples, duration.sample_count;
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142 if not (events and n_events) then
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143 return nil, "not a valid distribution stat";
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144 end
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145 local histogram = {};
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146
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147 for i = 1, 100, 100/n_buckets do
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148 histogram[i] = percentile(events, n_events, i);
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149 end
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150 return histogram;
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151 end;
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152
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153 get_percentile = function (duration, pc)
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154 local events, n_events = duration.samples, duration.sample_count;
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155 if not (events and n_events) then
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156 return nil, "not a valid distribution stat";
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157 end
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158 return percentile(events, n_events, pc);
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159 end;
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160 }