futriix/tests/load_test.lua

-- tests/load_test.lua
-- Комплексное нагрузочное тестирование всех компонентов

local function run_load_test()
    print("╔══════════════════════════════════════════════════════════════╗")
    print("║     LOAD TEST SUITE                                           ║")
    print("╚══════════════════════════════════════════════════════════════╝")
    
    local test_results = {}
    
    -- Функция для замера производительности
    local function measure_performance(name, fn, iterations)
        print(string.format("\n📊 Measuring: %s (%d iterations)", name, iterations))
        
        local times = {}
        local errors = 0
        
        for i = 1, iterations do
            local start = os.clock()
            local success, err = pcall(fn)
            local duration = os.clock() - start
            
            if success then
                table.insert(times, duration)
            else
                errors = errors + 1
                print(string.format("  Error #%d: %s", i, tostring(err)))
            end
        end
        
        if #times == 0 then
            print(string.format("  ❌ All %d iterations failed", iterations))
            return nil
        end
        
        -- Вычисляем статистику
        table.sort(times)
        local min = times[1]
        local max = times[#times]
        local sum = 0
        for _, t in ipairs(times) do sum = sum + t end
        local avg = sum / #times
        local p50 = times[math.floor(#times * 0.5)]
        local p95 = times[math.floor(#times * 0.95)]
        local p99 = times[math.floor(#times * 0.99)]
        
        print(string.format([[
  Results:
    Success rate: %.1f%% (%d/%d)
    Min: %.3f ms
    Max: %.3f ms
    Avg: %.3f ms
    P50: %.3f ms
    P95: %.3f ms
    P99: %.3f ms
        ]], (iterations - errors) / iterations * 100, iterations - errors, iterations,
            min * 1000, max * 1000, avg * 1000, p50 * 1000, p95 * 1000, p99 * 1000))
        
        return {
            success_rate = (iterations - errors) / iterations,
            min_ms = min * 1000,
            max_ms = max * 1000,
            avg_ms = avg * 1000,
            p50_ms = p50 * 1000,
            p95_ms = p95 * 1000,
            p99_ms = p99 * 1000
        }
    end
    
    -- Подготовка
    print("\n🔧 Preparing test environment...")
    db.execute("CREATE DATABASE IF NOT EXISTS load_test")
    db.execute("USE load_test")
    
    db.execute([[
        CREATE COLLECTION IF NOT EXISTS load_collection
        WITH SETTINGS {
            max_documents = 1000000,
            auto_index_id = true
        }
    ]])
    
    -- Тест 1: Вставка документов
    local insert_results = measure_performance("INSERT", function()
        local doc = {
            _id = string.format("doc_%d_%d", os.time(), math.random(1, 1000000)),
            timestamp = os.time() * 1000,
            value = math.random(1, 10000),
            data = string.rep("x", 100)
        }
        db.execute(string.format(
            "INSERT INTO load_collection VALUES (%s)",
            db.json_encode(doc)
        ))
    end, 1000)
    
    -- Тест 2: Чтение по ID
    local read_results = measure_performance("SELECT BY ID", function()
        db.execute(string.format("SELECT * FROM load_collection WHERE _id = 'doc_%d'", 
            math.random(1, 1000)))
    end, 1000)
    
    -- Тест 3: Обновление
    local update_results = measure_performance("UPDATE", function()
        db.execute(string.format([[
            UPDATE load_collection 
            SET value = %d, updated_at = %d
            WHERE _id = 'doc_%d'
        ]], math.random(1, 10000), os.time() * 1000, math.random(1, 1000)))
    end, 1000)
    
    -- Тест 4: Удаление
    local delete_results = measure_performance("DELETE", function()
        db.execute(string.format("DELETE FROM load_collection WHERE _id = 'temp_%d'", 
            math.random(1, 100)))
    end, 500)
    
    -- Тест 5: Сложный запрос с фильтром
    local query_results = measure_performance("COMPLEX QUERY", function()
        db.execute([[
            SELECT * FROM load_collection 
            WHERE value > 5000 
            AND value < 8000
            LIMIT 50
        ]])
    end, 500)
    
    -- Тест 6: Агрегация
    local agg_results = measure_performance("AGGREGATION", function()
        db.execute([[
            SELECT 
                COUNT(*) as total,
                AVG(value) as avg_value,
                MIN(value) as min_value,
                MAX(value) as max_value
            FROM load_collection
            WHERE value > 1000
        ]])
    end, 200)
    
    -- Тест 7: Пакетная вставка
    local batch_results = measure_performance("BATCH INSERT", function()
        local docs = {}
        for i = 1, 10 do
            table.insert(docs, {
                _id = string.format("batch_%d_%d", os.time(), i),
                value = i
            })
        end
        db.execute(string.format(
            "INSERT INTO load_collection VALUES %s",
            db.json_encode(docs)
        ))
    end, 100)
    
    -- Тест 8: Транзакция
    local tx_results = measure_performance("TRANSACTION", function()
        db.execute("BEGIN TRANSACTION")
        db.execute("INSERT INTO load_collection VALUES {_id = 'tx1', value = 1}")
        db.execute("INSERT INTO load_collection VALUES {_id = 'tx2', value = 2}")
        db.execute("COMMIT")
    end, 100)
    
    -- Тест 9: Поиск по индексу
    db.execute("CREATE INDEX idx_value ON load_collection(value)")
    
    local index_results = measure_performance("INDEX SEARCH", function()
        db.execute("SELECT * FROM load_collection WHERE value = 5000")
    end, 500)
    
    -- Тест 10: Сканирование с лимитом
    local scan_results = measure_performance("SCAN WITH LIMIT", function()
        db.execute("SELECT * FROM load_collection LIMIT 1000")
    end, 100)
    
    -- Сводка
    print("\n╔══════════════════════════════════════════════════════════════╗")
    print("║                     PERFORMANCE SUMMARY                        ║")
    print("╚══════════════════════════════════════════════════════════════╝")
    
    local function print_summary(name, results)
        if results then
            local status = results.success_rate > 0.99 and "✅" or "⚠️"
            print(string.format("%s %-15s: avg=%.2fms, p95=%.2fms, success=%.1f%%",
                status, name, results.avg_ms, results.p95_ms, results.success_rate * 100))
        else
            print(string.format("❌ %-15s: FAILED", name))
        end
    end
    
    print_summary("INSERT", insert_results)
    print_summary("SELECT", read_results)
    print_summary("UPDATE", update_results)
    print_summary("DELETE", delete_results)
    print_summary("QUERY", query_results)
    print_summary("AGGREGATE", agg_results)
    print_summary("BATCH", batch_results)
    print_summary("TRANSACTION", tx_results)
    print_summary("INDEX SEARCH", index_results)
    print_summary("SCAN", scan_results)
    
    -- Общий вердикт
    local success_rate = (insert_results and insert_results.success_rate or 0) +
                        (read_results and read_results.success_rate or 0) +
                        (update_results and update_results.success_rate or 0) +
                        (delete_results and delete_results.success_rate or 0) +
                        (query_results and query_results.success_rate or 0) +
                        (agg_results and agg_results.success_rate or 0) +
                        (batch_results and batch_results.success_rate or 0) +
                        (tx_results and tx_results.success_rate or 0) +
                        (index_results and index_results.success_rate or 0) +
                        (scan_results and scan_results.success_rate or 0)
    
    success_rate = success_rate / 10 * 100
    
    print("\n╔══════════════════════════════════════════════════════════════╗")
    print("║                     FINAL VERDICT                              ║")
    print("╚══════════════════════════════════════════════════════════════╝")
    
    if success_rate > 99 then
        print("✅ EXCELLENT: All operations performing optimally")
    elseif success_rate > 95 then
        print("✅ GOOD: Most operations performing well")
    elseif success_rate > 90 then
        print("⚠️ ACCEPTABLE: Some operations need optimization")
    else
        print("❌ POOR: Significant performance issues detected")
    end
    
    print(string.format("Overall success rate: %.1f%%", success_rate))
    
    -- Очистка
    print("\n🧹 Cleaning up...")
    db.execute("DROP DATABASE IF EXISTS load_test")
    
    return success_rate > 90
end

-- Запуск всех тестов
local function run_all_tests()
    print("🚀 STARTING FULL TEST SUITE\n")