mirror of
https://github.com/KingDuckZ/incredis
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84 lines
3.1 KiB
C++
84 lines
3.1 KiB
C++
#include "redis_connection_fixture.hpp"
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#include "catch.hpp"
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#include "incredis/incredis.hpp"
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#include "duckhandy/lengthof.h"
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#include <unordered_map>
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#include <string>
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#include <algorithm>
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#include <random>
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#include <chrono>
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#include <iostream>
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using incredis::test::RedisConnectionFixture;
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namespace {
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const char g_charset[] = {
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'0', '1', '2', '3', '4', '5', '6', '7', '8', '9',
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'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J',
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'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T',
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'U', 'V', 'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd',
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'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n',
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'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x',
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'y', 'z'
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};
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template <typename F>
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std::string make_random_string (std::size_t parLength, F parGetRandomChar) {
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std::string str_ret(parLength, 0);
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std::generate_n(str_ret.begin(), parLength, parGetRandomChar);
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return str_ret;
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}
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std::unordered_map<std::string, std::string> generate_random_data (std::size_t parItemCount, std::size_t parKeyLength, std::size_t parValueLength) {
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std::default_random_engine rng(std::random_device{}());
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std::uniform_int_distribution<> dist(0, lengthof(g_charset) - 1);
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std::unordered_map<std::string, std::string> random_strings;
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auto get_rand_char = [&dist, &rng]() { return g_charset[dist(rng)]; };
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for (std::size_t z = 0; z < parItemCount; ++z) {
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std::string rand_key;
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do {
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rand_key = make_random_string(parKeyLength, get_rand_char);
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} while (random_strings.count(rand_key) > 0);
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random_strings[std::move(rand_key)] = make_random_string(parValueLength, get_rand_char);
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}
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return random_strings;
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}
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} //unnamed namespace
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TEST_CASE_METHOD(RedisConnectionFixture, "Insert a large amount of elements and take the timing", "[set]") {
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using redis::IncRedisBatch;
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const std::size_t items_count = 1500000;
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const std::size_t rand_key_length = 10;
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const std::size_t rand_val_length = 9;
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incredis().flushdb();
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std::cout << "Generating " << items_count << " random elements..." << std::endl;
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const auto random_strings = generate_random_data(items_count, rand_key_length, rand_val_length);
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auto batch = incredis().make_batch();
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std::cout << "Inserting into db..." << std::endl;
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std::chrono::system_clock::time_point start = std::chrono::high_resolution_clock::now();
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for (auto& str : random_strings) {
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batch.set(str.first, str.second, IncRedisBatch::ADD_None);
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}
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std::chrono::system_clock::time_point send_end = std::chrono::high_resolution_clock::now();
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batch.replies();
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std::chrono::system_clock::time_point batch_end = std::chrono::high_resolution_clock::now();
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REQUIRE_NOTHROW(batch.throw_if_failed());
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std::cout << "Inserted " << random_strings.size() << " elements, loop completed in " <<
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std::chrono::duration_cast<std::chrono::milliseconds>(send_end - start).count() << "ms" <<
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", batch finished in " <<
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std::chrono::duration_cast<std::chrono::milliseconds>(batch_end - start).count() << "ms" <<
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", average time per element: " <<
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std::chrono::duration_cast<std::chrono::microseconds>(batch_end - start).count() /
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static_cast<double>(random_strings.size()) <<
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"us, dbsize: " << incredis().dbsize() <<
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"\n"
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;
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}
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