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/**
* Copyright (C) 2023-present MongoDB, Inc.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the Server Side Public License, version 1,
* as published by MongoDB, Inc.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* Server Side Public License for more details.
*
* You should have received a copy of the Server Side Public License
* along with this program. If not, see
* <http://www.mongodb.com/licensing/server-side-public-license>.
*
* As a special exception, the copyright holders give permission to link the
* code of portions of this program with the OpenSSL library under certain
* conditions as described in each individual source file and distribute
* linked combinations including the program with the OpenSSL library. You
* must comply with the Server Side Public License in all respects for
* all of the code used other than as permitted herein. If you modify file(s)
* with this exception, you may extend this exception to your version of the
* file(s), but you are not obligated to do so. If you do not wish to do so,
* delete this exception statement from your version. If you delete this
* exception statement from all source files in the program, then also delete
* it in the license file.
*/
#include "mongo/tools/workload_simulation/workload_characteristics.h"
#include "mongo/unittest/unittest.h"
namespace mongo::workload_simulation {
namespace {
TEST(ParabolicWorkloadCharacteristics, SanityCheckThroughput) {
RWPair throughputAtOptimalConcurrency{10'000, 1'000};
for (int32_t optimal = 10; optimal <= 990; ++optimal) {
ParabolicWorkloadCharacteristics characteristics{{optimal, optimal},
throughputAtOptimalConcurrency};
for (int32_t current = 2; current < 999; ++current) {
RWPair concurrency{current, current};
RWPair oneLess{current - 1, current - 1};
if (current == optimal) {
ASSERT_EQ(characteristics.readThroughput(concurrency),
throughputAtOptimalConcurrency.read);
ASSERT_EQ(characteristics.writeThroughput(concurrency),
throughputAtOptimalConcurrency.write);
} else {
ASSERT_LT(characteristics.readThroughput(concurrency),
throughputAtOptimalConcurrency.read);
ASSERT_LT(characteristics.writeThroughput(concurrency),
throughputAtOptimalConcurrency.write);
}
if (current <= optimal) {
ASSERT_LTE(characteristics.readThroughput(oneLess),
characteristics.readThroughput(concurrency));
ASSERT_LTE(characteristics.writeThroughput(oneLess),
characteristics.writeThroughput(concurrency));
} else if (current > optimal) {
ASSERT_GTE(characteristics.readThroughput(oneLess),
characteristics.readThroughput(concurrency));
ASSERT_GTE(characteristics.writeThroughput(oneLess),
characteristics.writeThroughput(concurrency));
}
}
}
}
TEST(ParabolicWorkloadCharacteristics, SanityCheckLatencies) {
RWPair throughputAtOptimalConcurrency{10'000, 1'000};
for (int32_t optimal = 10; optimal <= 990; ++optimal) {
ParabolicWorkloadCharacteristics characteristics{
{optimal, optimal}, throughputAtOptimalConcurrency, 0.0};
for (int32_t current = 2; current < 999; ++current) {
RWPair concurrency{current, current};
// Latencies should lead roughly to expected throughput
Nanoseconds latency = characteristics.readLatency(concurrency);
int32_t expectedThroughput = characteristics.readThroughput(concurrency);
int32_t observedThroughput =
static_cast<double>(1'000'000'000) * current / latency.count();
ASSERT(observedThroughput >= 0.95 * expectedThroughput);
ASSERT(observedThroughput <= 1.05 * expectedThroughput);
}
}
}
} // namespace
} // namespace mongo::workload_simulation
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