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
|
load 5m
http_requests{job="api-server", instance="0", group="production"} 0+10x10
http_requests{job="api-server", instance="1", group="production"} 0+20x10
http_requests{job="api-server", instance="0", group="canary"} 0+30x10
http_requests{job="api-server", instance="1", group="canary"} 0+40x10
http_requests{job="app-server", instance="0", group="production"} 0+50x10
http_requests{job="app-server", instance="1", group="production"} 0+60x10
http_requests{job="app-server", instance="0", group="canary"} 0+70x10
http_requests{job="app-server", instance="1", group="canary"} 0+80x10
load 5m
foo{job="api-server", instance="0", region="europe"} 0+90x10
foo{job="api-server"} 0+100x10
# Simple sum.
eval instant at 50m SUM BY (group) (http_requests{job="api-server"})
{group="canary"} 700
{group="production"} 300
# Test alternative "by"-clause order.
eval instant at 50m sum by (group) (http_requests{job="api-server"})
{group="canary"} 700
{group="production"} 300
# Simple average.
eval instant at 50m avg by (group) (http_requests{job="api-server"})
{group="canary"} 350
{group="production"} 150
# Simple count.
eval instant at 50m count by (group) (http_requests{job="api-server"})
{group="canary"} 2
{group="production"} 2
# Simple without.
eval instant at 50m sum without (instance) (http_requests{job="api-server"})
{group="canary",job="api-server"} 700
{group="production",job="api-server"} 300
# Empty by.
eval instant at 50m sum by () (http_requests{job="api-server"})
{} 1000
# No by/without.
eval instant at 50m sum(http_requests{job="api-server"})
{} 1000
# Empty without.
eval instant at 50m sum without () (http_requests{job="api-server",group="production"})
{group="production",job="api-server",instance="0"} 100
{group="production",job="api-server",instance="1"} 200
# Without with mismatched and missing labels. Do not do this.
eval instant at 50m sum without (instance) (http_requests{job="api-server"} or foo)
{group="canary",job="api-server"} 700
{group="production",job="api-server"} 300
{region="europe",job="api-server"} 900
{job="api-server"} 1000
# Lower-cased aggregation operators should work too.
eval instant at 50m sum(http_requests) by (job) + min(http_requests) by (job) + max(http_requests) by (job) + avg(http_requests) by (job)
{job="app-server"} 4550
{job="api-server"} 1750
# Test alternative "by"-clause order.
eval instant at 50m sum by (group) (http_requests{job="api-server"})
{group="canary"} 700
{group="production"} 300
# Test both alternative "by"-clause orders in one expression.
# Public health warning: stick to one form within an expression (or even
# in an organization), or risk serious user confusion.
eval instant at 50m sum(sum by (group) (http_requests{job="api-server"})) by (job)
{} 1000
# Standard deviation and variance.
eval instant at 50m stddev(http_requests)
{} 229.12878474779
eval instant at 50m stddev by (instance)(http_requests)
{instance="0"} 223.60679774998
{instance="1"} 223.60679774998
eval instant at 50m stdvar(http_requests)
{} 52500
eval instant at 50m stdvar by (instance)(http_requests)
{instance="0"} 50000
{instance="1"} 50000
# Float precision test for standard deviation and variance
clear
load 5m
http_requests{job="api-server", instance="0", group="production"} 0+1.33x10
http_requests{job="api-server", instance="1", group="production"} 0+1.33x10
http_requests{job="api-server", instance="0", group="canary"} 0+1.33x10
eval instant at 50m stddev(http_requests)
{} 0.0
eval instant at 50m stdvar(http_requests)
{} 0.0
# Regression test for missing separator byte in labelsToGroupingKey.
clear
load 5m
label_grouping_test{a="aa", b="bb"} 0+10x10
label_grouping_test{a="a", b="abb"} 0+20x10
eval instant at 50m sum(label_grouping_test) by (a, b)
{a="a", b="abb"} 200
{a="aa", b="bb"} 100
# Tests for min/max.
clear
load 5m
http_requests{job="api-server", instance="0", group="production"} 1
http_requests{job="api-server", instance="1", group="production"} 2
http_requests{job="api-server", instance="0", group="canary"} NaN
http_requests{job="api-server", instance="1", group="canary"} 3
http_requests{job="api-server", instance="2", group="canary"} 4
eval instant at 0m max(http_requests)
{} 4
eval instant at 0m min(http_requests)
{} 1
eval instant at 0m max by (group) (http_requests)
{group="production"} 2
{group="canary"} 4
eval instant at 0m min by (group) (http_requests)
{group="production"} 1
{group="canary"} 3
clear
# Tests for topk/bottomk.
load 5m
http_requests{job="api-server", instance="0", group="production"} 0+10x10
http_requests{job="api-server", instance="1", group="production"} 0+20x10
http_requests{job="api-server", instance="2", group="production"} NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
http_requests{job="api-server", instance="0", group="canary"} 0+30x10
http_requests{job="api-server", instance="1", group="canary"} 0+40x10
http_requests{job="app-server", instance="0", group="production"} 0+50x10
http_requests{job="app-server", instance="1", group="production"} 0+60x10
http_requests{job="app-server", instance="0", group="canary"} 0+70x10
http_requests{job="app-server", instance="1", group="canary"} 0+80x10
eval_ordered instant at 50m topk(3, http_requests)
http_requests{group="canary", instance="1", job="app-server"} 800
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="production", instance="1", job="app-server"} 600
eval_ordered instant at 50m topk(5, http_requests{group="canary",job="app-server"})
http_requests{group="canary", instance="1", job="app-server"} 800
http_requests{group="canary", instance="0", job="app-server"} 700
eval_ordered instant at 50m bottomk(3, http_requests)
http_requests{group="production", instance="0", job="api-server"} 100
http_requests{group="production", instance="1", job="api-server"} 200
http_requests{group="canary", instance="0", job="api-server"} 300
eval_ordered instant at 50m bottomk(5, http_requests{group="canary",job="app-server"})
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="canary", instance="1", job="app-server"} 800
eval instant at 50m topk by (group) (1, http_requests)
http_requests{group="production", instance="1", job="app-server"} 600
http_requests{group="canary", instance="1", job="app-server"} 800
eval instant at 50m bottomk by (group) (2, http_requests)
http_requests{group="canary", instance="0", job="api-server"} 300
http_requests{group="canary", instance="1", job="api-server"} 400
http_requests{group="production", instance="0", job="api-server"} 100
http_requests{group="production", instance="1", job="api-server"} 200
eval_ordered instant at 50m bottomk by (group) (2, http_requests{group="production"})
http_requests{group="production", instance="0", job="api-server"} 100
http_requests{group="production", instance="1", job="api-server"} 200
# Test NaN is sorted away from the top/bottom.
eval_ordered instant at 50m topk(3, http_requests{job="api-server",group="production"})
http_requests{job="api-server", instance="1", group="production"} 200
http_requests{job="api-server", instance="0", group="production"} 100
http_requests{job="api-server", instance="2", group="production"} NaN
eval_ordered instant at 50m bottomk(3, http_requests{job="api-server",group="production"})
http_requests{job="api-server", instance="0", group="production"} 100
http_requests{job="api-server", instance="1", group="production"} 200
http_requests{job="api-server", instance="2", group="production"} NaN
# Test topk and bottomk allocate min(k, input_vector) for results vector
eval_ordered instant at 50m bottomk(9999999999, http_requests{job="app-server",group="canary"})
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="canary", instance="1", job="app-server"} 800
eval_ordered instant at 50m topk(9999999999, http_requests{job="api-server",group="production"})
http_requests{job="api-server", instance="1", group="production"} 200
http_requests{job="api-server", instance="0", group="production"} 100
http_requests{job="api-server", instance="2", group="production"} NaN
clear
# Tests for count_values.
load 5m
version{job="api-server", instance="0", group="production"} 6
version{job="api-server", instance="1", group="production"} 6
version{job="api-server", instance="2", group="production"} 6
version{job="api-server", instance="0", group="canary"} 8
version{job="api-server", instance="1", group="canary"} 8
version{job="app-server", instance="0", group="production"} 6
version{job="app-server", instance="1", group="production"} 6
version{job="app-server", instance="0", group="canary"} 7
version{job="app-server", instance="1", group="canary"} 7
eval instant at 5m count_values("version", version)
{version="6"} 5
{version="7"} 2
{version="8"} 2
eval instant at 5m count_values without (instance)("version", version)
{job="api-server", group="production", version="6"} 3
{job="api-server", group="canary", version="8"} 2
{job="app-server", group="production", version="6"} 2
{job="app-server", group="canary", version="7"} 2
# Overwrite label with output. Don't do this.
eval instant at 5m count_values without (instance)("job", version)
{job="6", group="production"} 5
{job="8", group="canary"} 2
{job="7", group="canary"} 2
# Overwrite label with output. Don't do this.
eval instant at 5m count_values by (job, group)("job", version)
{job="6", group="production"} 5
{job="8", group="canary"} 2
{job="7", group="canary"} 2
# Tests for quantile.
clear
load 10s
data{test="two samples",point="a"} 0
data{test="two samples",point="b"} 1
data{test="three samples",point="a"} 0
data{test="three samples",point="b"} 1
data{test="three samples",point="c"} 2
data{test="uneven samples",point="a"} 0
data{test="uneven samples",point="b"} 1
data{test="uneven samples",point="c"} 4
eval instant at 1m quantile without(point)(0.8, data)
{test="two samples"} 0.8
{test="three samples"} 1.6
{test="uneven samples"} 2.8
|
