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util/statistics.lua @ 8629:ddb04cacb8b1
util.async: Bump log warnings to error level
author | Matthew Wild <mwild1@gmail.com> |
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date | Mon, 19 Mar 2018 11:51:40 +0000 |
parent | 7988:dc758422d896 |
child | 10314:bbc879eab1bf |
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 } |