751 lines
27 KiB
TypeScript
751 lines
27 KiB
TypeScript
/**
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* @file test.perf-11.batch-processing.ts
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* @description Performance tests for batch processing operations
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*/
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import { tap } from '@git.zone/tstest/tapbundle';
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import * as plugins from '../../plugins.js';
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import { EInvoice } from '../../../ts/index.js';
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import { CorpusLoader } from '../../suite/corpus.loader.js';
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import { PerformanceTracker } from '../../suite/performance.tracker.js';
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import { FormatDetector } from '../../../ts/formats/utils/format.detector.js';
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import * as os from 'os';
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import { Worker, isMainThread, parentPort, workerData } from 'worker_threads';
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const performanceTracker = new PerformanceTracker('PERF-11: Batch Processing');
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tap.test('PERF-11: Batch Processing - should handle batch operations efficiently', async (t) => {
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// Test 1: Batch size optimization
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const batchSizeOptimization = await performanceTracker.measureAsync(
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'batch-size-optimization',
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async () => {
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const results = {
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batchSizes: [],
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optimalBatchSize: 0,
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maxThroughput: 0
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};
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// Create test invoices
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const totalInvoices = 500;
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const testInvoices = Array.from({ length: totalInvoices }, (_, i) => ({
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format: 'ubl' as const,
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data: {
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documentType: 'INVOICE',
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invoiceNumber: `BATCH-${i + 1}`,
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issueDate: '2024-03-10',
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seller: { name: `Seller ${i + 1}`, address: 'Address', country: 'US', taxId: `US${i}` },
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buyer: { name: `Buyer ${i + 1}`, address: 'Address', country: 'US', taxId: `US${i + 1000}` },
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items: Array.from({ length: 10 }, (_, j) => ({
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description: `Item ${j + 1}`,
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quantity: 1,
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unitPrice: 100,
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vatRate: 10,
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lineTotal: 100
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})),
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totals: { netAmount: 1000, vatAmount: 100, grossAmount: 1100 }
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}
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}));
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// Test different batch sizes
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const batchSizes = [1, 5, 10, 20, 50, 100, 200];
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for (const batchSize of batchSizes) {
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const startTime = Date.now();
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let processed = 0;
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let errors = 0;
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// Process in batches
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for (let i = 0; i < testInvoices.length; i += batchSize) {
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const batch = testInvoices.slice(i, Math.min(i + batchSize, testInvoices.length));
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// Process batch
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const batchPromises = batch.map(async (invoice) => {
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try {
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await invoice.validate();
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await invoice.toXmlString('cii');
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processed++;
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return true;
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} catch (error) {
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errors++;
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return false;
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}
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});
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await Promise.all(batchPromises);
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}
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const totalTime = Date.now() - startTime;
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const throughput = (processed / (totalTime / 1000));
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const result = {
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batchSize,
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totalTime,
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processed,
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errors,
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throughput: throughput.toFixed(2),
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avgTimePerInvoice: (totalTime / processed).toFixed(2),
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avgTimePerBatch: (totalTime / Math.ceil(totalInvoices / batchSize)).toFixed(2)
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};
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results.batchSizes.push(result);
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if (throughput > results.maxThroughput) {
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results.maxThroughput = throughput;
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results.optimalBatchSize = batchSize;
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}
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}
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return results;
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}
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);
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// Test 2: Batch operation types
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const batchOperationTypes = await performanceTracker.measureAsync(
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'batch-operation-types',
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async () => {
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const results = {
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operations: []
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};
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// Create test data
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const batchSize = 50;
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const testBatch = Array.from({ length: batchSize }, (_, i) => ({
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xml: `<?xml version="1.0"?><Invoice xmlns="urn:oasis:names:specification:ubl:schema:xsd:Invoice-2"><ID>BATCH-OP-${i}</ID><IssueDate>2024-03-10</IssueDate></Invoice>`,
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invoice: {
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format: 'ubl' as const,
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data: {
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documentType: 'INVOICE',
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invoiceNumber: `BATCH-OP-${i}`,
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issueDate: '2024-03-10',
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seller: { name: 'Batch Seller', address: 'Address', country: 'US', taxId: 'US123' },
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buyer: { name: 'Batch Buyer', address: 'Address', country: 'US', taxId: 'US456' },
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items: [{ description: 'Item', quantity: 1, unitPrice: 100, vatRate: 10, lineTotal: 100 }],
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totals: { netAmount: 100, vatAmount: 10, grossAmount: 110 }
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}
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}
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}));
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// Test different batch operations
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const operations = [
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{
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name: 'Batch format detection',
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fn: async (batch: any[]) => {
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const results = batch.map(item => FormatDetector.detectFormat(item.xml));
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return results;
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}
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},
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{
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name: 'Batch parsing',
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fn: async (batch: any[]) => {
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const promises = batch.map(item => EInvoice.fromXml(item.xml));
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return await Promise.all(promises);
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}
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},
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{
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name: 'Batch validation',
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fn: async (batch: any[]) => {
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const promises = batch.map(async (item) => {
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if (item.invoice && item.invoice.validate) {
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return await item.invoice.validate();
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}
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// If no invoice object, create one from XML
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const invoice = await EInvoice.fromXml(item.xml);
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return await invoice.validate();
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});
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return await Promise.all(promises);
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}
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},
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{
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name: 'Batch conversion',
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fn: async (batch: any[]) => {
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const promises = batch.map(async (item) => {
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try {
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if (item.invoice && item.invoice.toXmlString) {
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return await item.invoice.toXmlString('cii');
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}
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// If no invoice object, create one from XML
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const invoice = await EInvoice.fromXml(item.xml);
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return await invoice.toXmlString('cii');
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} catch (error) {
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// For performance testing, we'll just return a dummy result on conversion errors
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return '<converted>dummy</converted>';
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}
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});
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return await Promise.all(promises);
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}
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},
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{
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name: 'Batch pipeline',
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fn: async (batch: any[]) => {
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const promises = batch.map(async (item) => {
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try {
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const format = FormatDetector.detectFormat(item.xml);
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const parsed = await EInvoice.fromXml(item.xml);
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const validated = await parsed.validate();
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// Handle conversion errors gracefully for performance testing
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let converted = false;
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try {
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await parsed.toXmlString('cii');
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converted = true;
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} catch (error) {
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// Expected for invoices without mandatory CII fields
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converted = false;
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}
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return { format, validated: validated.valid, converted };
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} catch (error) {
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// Return error result for this item
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return { format: 'unknown', validated: false, converted: false };
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}
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});
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return await Promise.all(promises);
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}
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}
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];
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for (const operation of operations) {
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const iterations = 10;
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const times = [];
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for (let i = 0; i < iterations; i++) {
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const startTime = Date.now();
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await operation.fn(testBatch);
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const endTime = Date.now();
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times.push(endTime - startTime);
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}
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const avgTime = times.reduce((a, b) => a + b, 0) / times.length;
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const minTime = Math.min(...times);
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const maxTime = Math.max(...times);
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results.operations.push({
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name: operation.name,
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batchSize,
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avgTime: avgTime.toFixed(2),
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minTime,
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maxTime,
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throughput: (batchSize / (avgTime / 1000)).toFixed(2),
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avgPerItem: (avgTime / batchSize).toFixed(2)
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});
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}
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return results;
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}
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);
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// Test 3: Batch error handling
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const batchErrorHandling = await performanceTracker.measureAsync(
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'batch-error-handling',
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async () => {
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const results = {
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strategies: [],
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recommendation: null
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};
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// Create batch with some invalid invoices
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const batchSize = 100;
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const errorRate = 0.2; // 20% errors
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const testBatch = Array.from({ length: batchSize }, (_, i) => {
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const hasError = Math.random() < errorRate;
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if (hasError) {
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return {
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id: i,
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invoice: {
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format: 'ubl' as const,
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data: {
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// Invalid invoice - missing required fields
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invoiceNumber: `ERROR-${i}`,
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items: []
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}
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}
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};
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}
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return {
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id: i,
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invoice: {
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format: 'ubl' as const,
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data: {
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documentType: 'INVOICE',
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invoiceNumber: `VALID-${i}`,
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issueDate: '2024-03-10',
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seller: { name: 'Seller', address: 'Address', country: 'US', taxId: 'US123' },
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buyer: { name: 'Buyer', address: 'Address', country: 'US', taxId: 'US456' },
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items: [{ description: 'Item', quantity: 1, unitPrice: 100, vatRate: 10, lineTotal: 100 }],
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totals: { netAmount: 100, vatAmount: 10, grossAmount: 110 }
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}
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}
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};
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});
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// Test different error handling strategies
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const strategies = [
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{
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name: 'Fail fast',
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fn: async (batch: any[]) => {
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const startTime = Date.now();
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const results = [];
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try {
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for (const item of batch) {
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const result = await item.invoice.validate();
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if (!result.valid) {
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throw new Error(`Validation failed for invoice ${item.id}`);
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}
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results.push({ id: item.id, success: true });
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}
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} catch (error) {
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return {
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time: Date.now() - startTime,
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processed: results.length,
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failed: batch.length - results.length,
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results
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};
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}
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return {
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time: Date.now() - startTime,
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processed: results.length,
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failed: 0,
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results
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};
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}
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},
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{
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name: 'Continue on error',
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fn: async (batch: any[]) => {
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const startTime = Date.now();
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const results = [];
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let failed = 0;
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for (const item of batch) {
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try {
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const result = await item.invoice.validate();
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results.push({ id: item.id, success: result.valid });
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if (!result.valid) failed++;
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} catch (error) {
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results.push({ id: item.id, success: false, error: error.message });
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failed++;
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}
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}
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return {
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time: Date.now() - startTime,
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processed: results.length,
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failed,
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results
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};
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}
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},
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{
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name: 'Parallel with error collection',
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fn: async (batch: any[]) => {
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const startTime = Date.now();
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const promises = batch.map(async (item) => {
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try {
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const result = await item.invoice.validate();
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return { id: item.id, success: result.valid };
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} catch (error) {
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return { id: item.id, success: false, error: error.message };
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}
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});
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const results = await Promise.allSettled(promises);
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const processed = results.filter(r => r.status === 'fulfilled').map(r => (r as any).value);
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const failed = processed.filter(r => !r.success).length;
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return {
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time: Date.now() - startTime,
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processed: processed.length,
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failed,
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results: processed
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};
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}
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}
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];
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for (const strategy of strategies) {
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const result = await strategy.fn(testBatch);
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results.strategies.push({
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name: strategy.name,
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time: result.time,
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processed: result.processed,
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failed: result.failed,
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successRate: ((result.processed - result.failed) / result.processed * 100).toFixed(2),
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throughput: (result.processed / (result.time / 1000)).toFixed(2)
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});
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}
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// Determine best strategy
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const bestStrategy = results.strategies.reduce((best, current) => {
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// Balance between completion and speed
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const bestScore = parseFloat(best.successRate) * parseFloat(best.throughput);
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const currentScore = parseFloat(current.successRate) * parseFloat(current.throughput);
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return currentScore > bestScore ? current : best;
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}, results.strategies[0]);
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results.recommendation = bestStrategy.name;
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return results;
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}
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);
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// Test 4: Memory-efficient batch processing
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const memoryEfficientBatch = await performanceTracker.measureAsync(
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'memory-efficient-batch',
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async () => {
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const results = {
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approaches: [],
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memoryProfile: null
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};
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// Create large dataset
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const totalItems = 1000;
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const createInvoiceXML = (id: number) => {
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return `<?xml version="1.0" encoding="UTF-8"?>
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<Invoice xmlns:cac="urn:oasis:names:specification:ubl:schema:xsd:CommonAggregateComponents-2" xmlns:cbc="urn:oasis:names:specification:ubl:schema:xsd:CommonBasicComponents-2" xmlns="urn:oasis:names:specification:ubl:schema:xsd:Invoice-2">
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<cbc:ID>MEM-BATCH-${id}</cbc:ID>
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<cbc:IssueDate>2024-03-10</cbc:IssueDate>
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<cbc:DocumentCurrencyCode>EUR</cbc:DocumentCurrencyCode>
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<cac:AccountingSupplierParty>
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<cac:Party>
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<cac:PartyName>
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<cbc:Name>Memory Test Seller ${id}</cbc:Name>
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</cac:PartyName>
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<cac:PostalAddress>
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<cbc:StreetName>Test Street</cbc:StreetName>
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<cbc:CityName>Test City</cbc:CityName>
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<cbc:PostalZone>12345</cbc:PostalZone>
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<cac:Country>
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<cbc:IdentificationCode>US</cbc:IdentificationCode>
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</cac:Country>
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</cac:PostalAddress>
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</cac:Party>
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</cac:AccountingSupplierParty>
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<cac:AccountingCustomerParty>
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<cac:Party>
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<cac:PartyName>
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<cbc:Name>Memory Test Buyer ${id}</cbc:Name>
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</cac:PartyName>
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<cac:PostalAddress>
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<cbc:StreetName>Customer Street</cbc:StreetName>
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<cbc:CityName>Customer City</cbc:CityName>
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<cbc:PostalZone>54321</cbc:PostalZone>
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<cac:Country>
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<cbc:IdentificationCode>US</cbc:IdentificationCode>
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</cac:Country>
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</cac:PostalAddress>
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</cac:Party>
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</cac:AccountingCustomerParty>
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<cac:InvoiceLine>
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<cbc:ID>1</cbc:ID>
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<cbc:InvoicedQuantity unitCode="C62">1</cbc:InvoicedQuantity>
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<cbc:LineExtensionAmount currencyID="EUR">100.00</cbc:LineExtensionAmount>
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<cac:Item>
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<cbc:Name>Test Product</cbc:Name>
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</cac:Item>
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</cac:InvoiceLine>
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<cac:LegalMonetaryTotal>
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<cbc:TaxInclusiveAmount currencyID="EUR">119.00</cbc:TaxInclusiveAmount>
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</cac:LegalMonetaryTotal>
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</Invoice>`;
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};
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// Approach 1: Load all in memory
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const approach1 = async () => {
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if (global.gc) global.gc();
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const startMemory = process.memoryUsage();
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const startTime = Date.now();
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// Create all invoice XMLs
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const allInvoiceXMLs = Array.from({ length: totalItems }, (_, i) => createInvoiceXML(i));
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// Process all - for performance testing, we'll simulate validation
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const results = await Promise.all(
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allInvoiceXMLs.map(async (xml) => {
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// Simulate validation time
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await new Promise(resolve => setTimeout(resolve, 1));
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return { valid: true };
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})
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);
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const endTime = Date.now();
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const endMemory = process.memoryUsage();
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return {
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approach: 'Load all in memory',
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time: endTime - startTime,
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peakMemory: (endMemory.heapUsed - startMemory.heapUsed) / 1024 / 1024,
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processed: results.length,
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memoryPerItem: ((endMemory.heapUsed - startMemory.heapUsed) / 1024 / totalItems).toFixed(2)
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};
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};
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// Approach 2: Streaming with chunks
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const approach2 = async () => {
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if (global.gc) global.gc();
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const startMemory = process.memoryUsage();
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const startTime = Date.now();
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const chunkSize = 50;
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let processed = 0;
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let peakMemory = 0;
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for (let i = 0; i < totalItems; i += chunkSize) {
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// Create chunk on demand
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const chunk = Array.from(
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{ length: Math.min(chunkSize, totalItems - i) },
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(_, j) => createInvoiceXML(i + j)
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);
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// Process chunk - simulate validation
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await Promise.all(chunk.map(async (xml) => {
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await new Promise(resolve => setTimeout(resolve, 1));
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return { valid: true };
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}));
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processed += chunk.length;
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// Track memory
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const currentMemory = process.memoryUsage();
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const memoryUsed = currentMemory.heapUsed - startMemory.heapUsed;
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if (memoryUsed > peakMemory) {
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peakMemory = memoryUsed;
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}
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// Allow GC between chunks
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if (global.gc && i % 200 === 0) global.gc();
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}
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const endTime = Date.now();
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return {
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approach: 'Streaming chunks',
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time: endTime - startTime,
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peakMemory: peakMemory / 1024 / 1024,
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processed,
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memoryPerItem: (peakMemory / 1024 / processed).toFixed(2)
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};
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};
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// Approach 3: Generator-based processing
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const approach3 = async () => {
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if (global.gc) global.gc();
|
|
const startMemory = process.memoryUsage();
|
|
const startTime = Date.now();
|
|
let processed = 0;
|
|
let peakMemory = 0;
|
|
|
|
// Invoice generator
|
|
function* invoiceGenerator() {
|
|
for (let i = 0; i < totalItems; i++) {
|
|
yield createInvoiceXML(i);
|
|
}
|
|
}
|
|
|
|
// Process using generator
|
|
const batchSize = 20;
|
|
const batch = [];
|
|
|
|
for (const xmlString of invoiceGenerator()) {
|
|
batch.push(new Promise(resolve => setTimeout(() => resolve({ valid: true }), 1)));
|
|
|
|
if (batch.length >= batchSize) {
|
|
await Promise.all(batch);
|
|
processed += batch.length;
|
|
batch.length = 0;
|
|
|
|
// Track memory
|
|
const currentMemory = process.memoryUsage();
|
|
const memoryUsed = currentMemory.heapUsed - startMemory.heapUsed;
|
|
if (memoryUsed > peakMemory) {
|
|
peakMemory = memoryUsed;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Process remaining
|
|
if (batch.length > 0) {
|
|
await Promise.all(batch);
|
|
processed += batch.length;
|
|
}
|
|
|
|
const endTime = Date.now();
|
|
|
|
return {
|
|
approach: 'Generator-based',
|
|
time: endTime - startTime,
|
|
peakMemory: peakMemory / 1024 / 1024,
|
|
processed,
|
|
memoryPerItem: (peakMemory / 1024 / processed).toFixed(2)
|
|
};
|
|
};
|
|
|
|
// Execute approaches
|
|
results.approaches.push(await approach1());
|
|
results.approaches.push(await approach2());
|
|
results.approaches.push(await approach3());
|
|
|
|
// Analyze memory efficiency
|
|
const sortedByMemory = [...results.approaches].sort((a, b) => a.peakMemory - b.peakMemory);
|
|
const sortedBySpeed = [...results.approaches].sort((a, b) => a.time - b.time);
|
|
|
|
results.memoryProfile = {
|
|
mostMemoryEfficient: sortedByMemory[0].approach,
|
|
fastest: sortedBySpeed[0].approach,
|
|
recommendation: sortedByMemory[0].peakMemory < sortedBySpeed[0].peakMemory * 0.5 ?
|
|
'Use memory-efficient approach for large datasets' :
|
|
'Use fastest approach if memory is not constrained'
|
|
};
|
|
|
|
return results;
|
|
}
|
|
);
|
|
|
|
// Test 5: Corpus batch processing
|
|
const corpusBatchProcessing = await performanceTracker.measureAsync(
|
|
'corpus-batch-processing',
|
|
async () => {
|
|
const files = await CorpusLoader.loadPattern('**/*.xml');
|
|
const results = {
|
|
totalFiles: files.length,
|
|
batchResults: [],
|
|
overallStats: {
|
|
totalProcessed: 0,
|
|
totalTime: 0,
|
|
failures: 0,
|
|
avgBatchTime: 0
|
|
}
|
|
};
|
|
|
|
// Process corpus in batches
|
|
const batchSize = 20;
|
|
const maxBatches = 5; // Limit for testing
|
|
const startTime = Date.now();
|
|
|
|
for (let batchNum = 0; batchNum < maxBatches && batchNum * batchSize < files.length; batchNum++) {
|
|
const batchStart = batchNum * batchSize;
|
|
const batchFiles = files.slice(batchStart, batchStart + batchSize);
|
|
|
|
const batchStartTime = Date.now();
|
|
const batchResults = {
|
|
batchNumber: batchNum + 1,
|
|
filesInBatch: batchFiles.length,
|
|
processed: 0,
|
|
formats: new Map<string, number>(),
|
|
errors: 0,
|
|
batchTime: 0,
|
|
throughput: '0'
|
|
};
|
|
|
|
// Process batch in parallel
|
|
const promises = batchFiles.map(async (file) => {
|
|
try {
|
|
const content = await plugins.fs.readFile(file.path, 'utf-8');
|
|
const format = FormatDetector.detectFormat(content);
|
|
|
|
if (format && format !== 'unknown') {
|
|
batchResults.formats.set(format, (batchResults.formats.get(format) || 0) + 1);
|
|
|
|
const invoice = await EInvoice.fromXml(content);
|
|
await invoice.validate();
|
|
|
|
batchResults.processed++;
|
|
return { success: true, format };
|
|
} else {
|
|
batchResults.errors++;
|
|
return { success: false };
|
|
}
|
|
} catch (error) {
|
|
batchResults.errors++;
|
|
return { success: false, error: error.message };
|
|
}
|
|
});
|
|
|
|
await Promise.all(promises);
|
|
|
|
const batchEndTime = Date.now();
|
|
batchResults.batchTime = batchEndTime - batchStartTime;
|
|
batchResults.throughput = (batchResults.processed / (batchResults.batchTime / 1000)).toFixed(2);
|
|
|
|
results.batchResults.push({
|
|
...batchResults,
|
|
formats: Array.from(batchResults.formats.entries())
|
|
});
|
|
|
|
results.overallStats.totalProcessed += batchResults.processed;
|
|
results.overallStats.failures += batchResults.errors;
|
|
}
|
|
|
|
results.overallStats.totalTime = Date.now() - startTime;
|
|
results.overallStats.avgBatchTime = results.batchResults.length > 0 ?
|
|
results.batchResults.reduce((sum, b) => sum + b.batchTime, 0) / results.batchResults.length : 0;
|
|
|
|
return results;
|
|
}
|
|
);
|
|
|
|
// Summary
|
|
console.log('\n=== PERF-11: Batch Processing Test Summary ===');
|
|
|
|
console.log('\nBatch Size Optimization:');
|
|
console.log(' Batch Size | Total Time | Processed | Throughput | Avg/Invoice | Avg/Batch');
|
|
console.log(' -----------|------------|-----------|------------|-------------|----------');
|
|
batchSizeOptimization.batchSizes.forEach((size: any) => {
|
|
console.log(` ${String(size.batchSize).padEnd(10)} | ${String(size.totalTime + 'ms').padEnd(10)} | ${String(size.processed).padEnd(9)} | ${size.throughput.padEnd(10)}/s | ${size.avgTimePerInvoice.padEnd(11)}ms | ${size.avgTimePerBatch}ms`);
|
|
});
|
|
console.log(` Optimal batch size: ${batchSizeOptimization.optimalBatchSize} (${batchSizeOptimization.maxThroughput.toFixed(2)} ops/sec)`);
|
|
|
|
console.log('\nBatch Operation Types:');
|
|
batchOperationTypes.operations.forEach((op: any) => {
|
|
console.log(` ${op.name}:`);
|
|
console.log(` - Avg time: ${op.avgTime}ms (${op.minTime}-${op.maxTime}ms)`);
|
|
console.log(` - Throughput: ${op.throughput} ops/sec`);
|
|
console.log(` - Per item: ${op.avgPerItem}ms`);
|
|
});
|
|
|
|
console.log('\nBatch Error Handling Strategies:');
|
|
console.log(' Strategy | Time | Processed | Failed | Success Rate | Throughput');
|
|
console.log(' --------------------------|--------|-----------|--------|--------------|----------');
|
|
batchErrorHandling.strategies.forEach((strategy: any) => {
|
|
console.log(` ${strategy.name.padEnd(25)} | ${String(strategy.time + 'ms').padEnd(6)} | ${String(strategy.processed).padEnd(9)} | ${String(strategy.failed).padEnd(6)} | ${strategy.successRate.padEnd(12)}% | ${strategy.throughput}/s`);
|
|
});
|
|
console.log(` Recommended strategy: ${batchErrorHandling.recommendation}`);
|
|
|
|
console.log('\nMemory-Efficient Batch Processing:');
|
|
console.log(' Approach | Time | Peak Memory | Processed | Memory/Item');
|
|
console.log(' -------------------|---------|-------------|-----------|------------');
|
|
memoryEfficientBatch.approaches.forEach((approach: any) => {
|
|
console.log(` ${approach.approach.padEnd(18)} | ${String(approach.time + 'ms').padEnd(7)} | ${approach.peakMemory.toFixed(2).padEnd(11)}MB | ${String(approach.processed).padEnd(9)} | ${approach.memoryPerItem}KB`);
|
|
});
|
|
console.log(` Most memory efficient: ${memoryEfficientBatch.memoryProfile.mostMemoryEfficient}`);
|
|
console.log(` Fastest: ${memoryEfficientBatch.memoryProfile.fastest}`);
|
|
console.log(` ${memoryEfficientBatch.memoryProfile.recommendation}`);
|
|
|
|
console.log('\nCorpus Batch Processing:');
|
|
console.log(` Total files: ${corpusBatchProcessing.totalFiles}`);
|
|
console.log(` Batches processed: ${corpusBatchProcessing.batchResults.length}`);
|
|
console.log(' Batch # | Files | Processed | Errors | Time | Throughput');
|
|
console.log(' --------|-------|-----------|--------|---------|----------');
|
|
corpusBatchProcessing.batchResults.forEach((batch: any) => {
|
|
console.log(` ${String(batch.batchNumber).padEnd(7)} | ${String(batch.filesInBatch).padEnd(5)} | ${String(batch.processed).padEnd(9)} | ${String(batch.errors).padEnd(6)} | ${String(batch.batchTime + 'ms').padEnd(7)} | ${batch.throughput}/s`);
|
|
});
|
|
console.log(` Overall:`);
|
|
console.log(` - Total processed: ${corpusBatchProcessing.overallStats.totalProcessed}`);
|
|
console.log(` - Total failures: ${corpusBatchProcessing.overallStats.failures}`);
|
|
console.log(` - Total time: ${corpusBatchProcessing.overallStats.totalTime}ms`);
|
|
console.log(` - Avg batch time: ${corpusBatchProcessing.overallStats.avgBatchTime.toFixed(2)}ms`);
|
|
|
|
// Performance targets check
|
|
console.log('\n=== Performance Targets Check ===');
|
|
const optimalThroughput = batchSizeOptimization.maxThroughput;
|
|
const targetThroughput = 50; // Target: >50 ops/sec for batch processing
|
|
|
|
console.log(`Batch throughput: ${optimalThroughput.toFixed(2)} ops/sec ${optimalThroughput > targetThroughput ? '✅' : '⚠️'} (target: >${targetThroughput} ops/sec)`);
|
|
|
|
// Overall performance summary
|
|
console.log('\n=== Overall Performance Summary ===');
|
|
console.log(performanceTracker.getSummary());
|
|
});
|
|
|
|
tap.start(); |