summaryrefslogtreecommitdiffstats
path: root/staging_vespalib/src/tests/metrics/simple_metrics_test.cpp
blob: d0a7ca4c4a9882030582f8560bb5fab134ebd770 (plain) (blame)
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
// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/vespalib/testkit/testapp.h>
#include <vespa/vespalib/metrics/simple_metrics.h>
#include <vespa/vespalib/metrics/simple_metrics_manager.h>
#include <vespa/vespalib/metrics/stable_store.h>
#include <vespa/vespalib/metrics/json_formatter.h>
#include <stdio.h>
#include <unistd.h>

using namespace vespalib;
using namespace vespalib::metrics;

TEST("require that simple metrics gauge merge works")
{
    MetricIdentifier id(MetricName(42), Point(17));
    Gauge::Measurement a1(id, 0.0);
    Gauge::Measurement b1(id, 7.0);
    Gauge::Measurement b2(id, 9.0);
    Gauge::Measurement b3(id, 8.0);
    Gauge::Measurement c1(id, 10.0);
    Gauge::Measurement c2(id, 1.0);

    GaugeAggregator a(a1), b(b1), c(c1);
    b.merge(b2);
    b.merge(b3);
    c.merge(c2);

    EXPECT_EQUAL(a.observedCount, 1u);
    EXPECT_EQUAL(a.sumValue, 0.0);
    EXPECT_EQUAL(a.minValue, 0.0);
    EXPECT_EQUAL(a.maxValue, 0.0);
    EXPECT_EQUAL(a.lastValue, 0.0);

    EXPECT_EQUAL(b.observedCount, 3u);
    EXPECT_EQUAL(b.sumValue, 24.0);
    EXPECT_EQUAL(b.minValue, 7.0);
    EXPECT_EQUAL(b.maxValue, 9.0);
    EXPECT_EQUAL(b.lastValue, 8.0);

    EXPECT_EQUAL(c.observedCount, 2u);
    EXPECT_EQUAL(c.sumValue, 11.0);
    EXPECT_EQUAL(c.minValue, 1.0);
    EXPECT_EQUAL(c.maxValue, 10.0);
    EXPECT_EQUAL(c.lastValue, 1.0);

    a.minValue = 8;

    a.merge(b);
    EXPECT_EQUAL(a.observedCount, 4u);
    EXPECT_EQUAL(a.sumValue, 24.0);
    EXPECT_EQUAL(a.minValue, 7.0);
    EXPECT_EQUAL(a.maxValue, 9.0);
    EXPECT_EQUAL(a.lastValue, 8.0);

    a.merge(b);
    EXPECT_EQUAL(a.observedCount, 7u);
    EXPECT_EQUAL(a.sumValue, 48.0);
    EXPECT_EQUAL(a.minValue, 7.0);
    EXPECT_EQUAL(a.maxValue, 9.0);
    EXPECT_EQUAL(a.lastValue, 8.0);

    a.merge(c);
    EXPECT_EQUAL(a.observedCount, 9u);
    EXPECT_EQUAL(a.sumValue, 59.0);
    EXPECT_EQUAL(a.minValue, 1.0);
    EXPECT_EQUAL(a.maxValue, 10.0);
    EXPECT_EQUAL(a.lastValue, 1.0);
}


TEST("use simple_metrics_collector")
{
    using namespace vespalib::metrics;
    SimpleManagerConfig cf;
    cf.sliding_window_seconds = 5;
    auto manager = SimpleMetricsManager::create(cf);
    Counter myCounter = manager->counter("foo");
    myCounter.add();
    myCounter.add(16);

    Gauge myGauge = manager->gauge("bar");
    myGauge.sample(42.0);
    myGauge.sample(41.0);
    myGauge.sample(43.0);
    myGauge.sample(42.0);

    Point one = manager->pointBuilder()
            .bind("chain", "default")
            .bind("documenttype", "music")
            .bind("thread", "0").build();
    Point two = manager->pointBuilder()
            .bind("chain", "vespa")
            .bind("documenttype", "blogpost")
            .bind("thread", "1");
    EXPECT_EQUAL(one.id(), 1u);
    EXPECT_EQUAL(two.id(), 2u);

    Point anotherOne = manager->pointBuilder()
            .bind("chain", "default")
            .bind("documenttype", "music")
            .bind("thread", "0");
    EXPECT_EQUAL(anotherOne.id(), 1u);

    Point three = manager->pointBuilder(two).bind("thread", "2");
    EXPECT_EQUAL(three.id(), 3u);

    myCounter.add(3, one);
    myCounter.add(one);
    myGauge.sample(14.0, two);
    myGauge.sample(11.0, three);

    for (int i = 0; i < 61; ++i) {
        ((SimpleMetricsManager &)*manager).tick();
    }

    Snapshot snap = manager->totalSnapshot();
    fprintf(stdout, "snap begin: %15f\n", snap.startTime());
    fprintf(stdout, "snap end: %15f\n", snap.endTime());

 // for (const auto& entry : snap.points()) {
 //     fprintf(stdout, "snap point: %zd dimension(s)\n", entry.dimensions.size());
 //     for (const auto& dim : entry.dimensions) {
 //         fprintf(stdout, "       label: [%s] = '%s'\n",
 //                 dim.dimensionName().c_str(), dim.labelValue().c_str());
 //     }
 // }
    for (const auto& entry : snap.counters()) {
        fprintf(stdout, "snap counter: '%s'\n", entry.name().c_str());
        for (const auto& dim : entry.point().dimensions) {
            fprintf(stdout, "       label: [%s] = '%s'\n",
                    dim.dimensionName().c_str(), dim.labelValue().c_str());
        }
        fprintf(stdout, "       count: %zd\n", entry.count());
    }
    for (const auto& entry : snap.gauges()) {
        fprintf(stdout, "snap gauge: '%s'\n", entry.name().c_str());
        for (const auto& dim : entry.point().dimensions) {
            fprintf(stdout, "       label: [%s] = '%s'\n",
                    dim.dimensionName().c_str(), dim.labelValue().c_str());
        }
        fprintf(stdout, "  observed: %zd\n", entry.observedCount());
        fprintf(stdout, "       avg: %f\n", entry.averageValue());
        fprintf(stdout, "       min: %f\n", entry.minValue());
        fprintf(stdout, "       max: %f\n", entry.maxValue());
        fprintf(stdout, "      last: %f\n", entry.lastValue());
    }

    JsonFormatter fmt(snap);
    fprintf(stdout, "JSON format:\n>>>\n%s\n<<<\n", fmt.asString().c_str());
}

TEST_MAIN() { TEST_RUN_ALL(); }