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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 18:45:59 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 18:45:59 +0000 |
commit | 19fcec84d8d7d21e796c7624e521b60d28ee21ed (patch) | |
tree | 42d26aa27d1e3f7c0b8bd3fd14e7d7082f5008dc /src/test/common/test_prioritized_queue.cc | |
parent | Initial commit. (diff) | |
download | ceph-upstream/16.2.11+ds.tar.xz ceph-upstream/16.2.11+ds.zip |
Adding upstream version 16.2.11+ds.upstream/16.2.11+dsupstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r-- | src/test/common/test_prioritized_queue.cc | 206 |
1 files changed, 206 insertions, 0 deletions
diff --git a/src/test/common/test_prioritized_queue.cc b/src/test/common/test_prioritized_queue.cc new file mode 100644 index 000000000..83bd41f8c --- /dev/null +++ b/src/test/common/test_prioritized_queue.cc @@ -0,0 +1,206 @@ +// -*- mode:C++; tab-width:8; c-basic-offset:2; indent-tabs-mode:t -*- +// vim: ts=8 sw=2 smarttab + +#include "gtest/gtest.h" +#include "common/PrioritizedQueue.h" + +#include <numeric> +#include <vector> +#include <algorithm> +#include <random> + +using std::vector; + +class PrioritizedQueueTest : public testing::Test +{ +protected: + typedef int Klass; + typedef unsigned Item; + typedef PrioritizedQueue<Item, Klass> PQ; + enum { item_size = 100, }; + vector<Item> items; + + void SetUp() override { + for (int i = 0; i < item_size; i++) { + items.push_back(Item(i)); + } + std::random_device rd; + std::default_random_engine rng(rd()); + std::shuffle(items.begin(), items.end(), rng); + } + void TearDown() override { + items.clear(); + } +}; + +TEST_F(PrioritizedQueueTest, capacity) { + const unsigned min_cost = 10; + const unsigned max_tokens_per_subqueue = 50; + PQ pq(max_tokens_per_subqueue, min_cost); + EXPECT_TRUE(pq.empty()); + EXPECT_EQ(0u, pq.length()); + + pq.enqueue_strict(Klass(1), 0, Item(0)); + EXPECT_FALSE(pq.empty()); + EXPECT_EQ(1u, pq.length()); + + for (int i = 0; i < 3; i++) { + pq.enqueue(Klass(1), 0, 10, Item(0)); + } + for (unsigned i = 4; i > 0; i--) { + EXPECT_FALSE(pq.empty()); + EXPECT_EQ(i, pq.length()); + pq.dequeue(); + } + EXPECT_TRUE(pq.empty()); + EXPECT_EQ(0u, pq.length()); +} + +TEST_F(PrioritizedQueueTest, strict_pq) { + const unsigned min_cost = 1; + const unsigned max_tokens_per_subqueue = 50; + PQ pq(max_tokens_per_subqueue, min_cost); + // 0 .. item_size-1 + for (unsigned i = 0; i < item_size; i++) { + unsigned priority = items[i]; + const Item& item = items[i]; + pq.enqueue_strict(Klass(0), priority, Item(item)); + } + // item_size-1 .. 0 + for (unsigned i = item_size; i > 0; i--) { + Item item = pq.dequeue(); + unsigned priority = item; + EXPECT_EQ(i - 1, priority); + } +} + +TEST_F(PrioritizedQueueTest, lowest_among_eligible_otherwise_highest) { + // to minimize the effect of `distribute_tokens()` + // all eligible items will be assigned with cost of min_cost + const unsigned min_cost = 0; + const unsigned max_tokens_per_subqueue = 100; + PQ pq(max_tokens_per_subqueue, min_cost); + +#define ITEM_TO_COST(item_) (item_ % 5 ? min_cost : max_tokens_per_subqueue) + unsigned num_low_cost = 0, num_high_cost = 0; + for (int i = 0; i < item_size; i++) { + const Item& item = items[i]; + unsigned cost = ITEM_TO_COST(item); + unsigned priority = item; + if (cost == min_cost) { + num_low_cost++; + } else { + num_high_cost++; + } + pq.enqueue(Klass(0), priority, cost, Item(item)); + } + // the token in all buckets is 0 at the beginning, so dequeue() should pick + // the first one with the highest priority. + unsigned highest_priority; + { + Item item = pq.dequeue(); + unsigned cost = ITEM_TO_COST(item); + unsigned priority = item; + if (cost == min_cost) { + num_low_cost--; + } else { + num_high_cost--; + } + EXPECT_EQ(item_size - 1u, priority); + highest_priority = priority; + } + unsigned lowest_priority = 0; + for (unsigned i = 0; i < num_low_cost; i++) { + Item item = pq.dequeue(); + unsigned cost = ITEM_TO_COST(item); + unsigned priority = item; + EXPECT_EQ(min_cost, cost); + EXPECT_GT(priority, lowest_priority); + lowest_priority = priority; + } + for (unsigned i = 0; i < num_high_cost; i++) { + Item item = pq.dequeue(); + unsigned cost = ITEM_TO_COST(item); + unsigned priority = item; + EXPECT_EQ(max_tokens_per_subqueue, cost); + EXPECT_LT(priority, highest_priority); + highest_priority = priority; + } +#undef ITEM_TO_COST +} + +static const unsigned num_classes = 4; +// just a determinitic number +#define ITEM_TO_CLASS(item_) Klass((item_ + 43) % num_classes) + +TEST_F(PrioritizedQueueTest, fairness_by_class) { + // dequeue should be fair to all classes in a certain bucket + const unsigned min_cost = 1; + const unsigned max_tokens_per_subqueue = 50; + PQ pq(max_tokens_per_subqueue, min_cost); + + for (int i = 0; i < item_size; i++) { + const Item& item = items[i]; + Klass k = ITEM_TO_CLASS(item); + unsigned priority = 0; + unsigned cost = 1; + pq.enqueue(k, priority, cost, Item(item)); + } + // just sample first 1/2 of the items + // if i pick too small a dataset, the result won't be statisitcally + // significant. if the sample dataset is too large, it will converge to the + // distribution of the full set. + vector<unsigned> num_picked_in_class(num_classes, 0u); + for (int i = 0; i < item_size / 2; i++) { + Item item = pq.dequeue(); + Klass k = ITEM_TO_CLASS(item); + num_picked_in_class[k]++; + } + unsigned total = std::accumulate(num_picked_in_class.begin(), + num_picked_in_class.end(), + 0); + float avg = float(total) / num_classes; + for (unsigned i = 0; i < num_classes; i++) { + EXPECT_NEAR(avg, num_picked_in_class[i], 0.5); + } +} + + +TEST_F(PrioritizedQueueTest, remove_by_class) { + const unsigned min_cost = 1; + const unsigned max_tokens_per_subqueue = 50; + PQ pq(max_tokens_per_subqueue, min_cost); + const Klass class_to_remove(2); + unsigned num_to_remove = 0; + for (int i = 0; i < item_size; i++) { + const Item& item = items[i]; + Klass k = ITEM_TO_CLASS(item); + pq.enqueue(k, 0, 0, Item(item)); + if (k == class_to_remove) { + num_to_remove++; + } + } + std::list<Item> removed; + pq.remove_by_class(class_to_remove, &removed); + + // see if the removed items are expected ones. + for (std::list<Item>::iterator it = removed.begin(); + it != removed.end(); + ++it) { + const Item& item = *it; + Klass k = ITEM_TO_CLASS(item); + EXPECT_EQ(class_to_remove, k); + items.erase(remove(items.begin(), items.end(), item), items.end()); + } + EXPECT_EQ(num_to_remove, removed.size()); + EXPECT_EQ(item_size - num_to_remove, pq.length()); + EXPECT_EQ(item_size - num_to_remove, items.size()); + // see if the remainder are expeceted also. + while (!pq.empty()) { + const Item item = pq.dequeue(); + Klass k = ITEM_TO_CLASS(item); + EXPECT_NE(class_to_remove, k); + items.erase(remove(items.begin(), items.end(), item), items.end()); + } + EXPECT_TRUE(items.empty()); +} |