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// 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/no_realloc_bunch.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(42);
GaugeAggregator a(id), b(id), c(id);
b.observedCount = 3;
b.sumValue = 24.0;
b.minValue = 7.0;
b.maxValue = 9.0;
b.lastValue = 8.0;
EXPECT_EQUAL(a.observedCount, 0u);
EXPECT_EQUAL(a.sumValue, 0.0);
EXPECT_EQUAL(a.minValue, 0.0);
EXPECT_EQUAL(a.maxValue, 0.0);
EXPECT_EQUAL(a.lastValue, 0.0);
a.merge(b);
EXPECT_EQUAL(a.observedCount, 3u);
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, 6u);
EXPECT_EQUAL(a.sumValue, 48.0);
EXPECT_EQUAL(a.minValue, 7.0);
EXPECT_EQUAL(a.maxValue, 9.0);
EXPECT_EQUAL(a.lastValue, 8.0);
c.observedCount = 2;
c.sumValue = 11.0;
c.minValue = 1.0;
c.maxValue = 10.0;
c.lastValue = 1.0;
a.merge(c);
EXPECT_EQUAL(a.observedCount, 8u);
EXPECT_EQUAL(a.sumValue, 59.0);
EXPECT_EQUAL(a.minValue, 1.0);
EXPECT_EQUAL(a.maxValue, 10.0);
EXPECT_EQUAL(a.lastValue, 1.0);
}
struct Foo {
int a;
char *p;
explicit Foo(int v) : a(v), p(nullptr) {}
bool operator==(const Foo &other) const {
return a == other.a;
}
};
TEST("require that no_realloc_bunch works")
{
vespalib::NoReallocBunch<Foo> bunch;
bunch.add(Foo(1));
bunch.add(Foo(2));
bunch.add(Foo(3));
bunch.add(Foo(5));
bunch.add(Foo(8));
bunch.add(Foo(13));
bunch.add(Foo(21));
bunch.add(Foo(34));
bunch.add(Foo(55));
bunch.add(Foo(89));
EXPECT_EQUAL(bunch.size(), 10u);
int sum = 0;
bunch.apply([&sum](const Foo& value) { sum += value.a; });
EXPECT_EQUAL(231, sum);
const Foo& val = bunch.lookup(8);
EXPECT_TRUE(Foo(55) == val);
for (int i = 0; i < 20000; ++i) {
bunch.add(Foo(i));
}
EXPECT_TRUE(Foo(19999) == bunch.lookup(20009));
}
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);
// sleep(2);
Snapshot snap = manager->snapshot();
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(); }
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