DataGrid 성능 비교

// run.ts의 measure() 핵심 구간
async function measure(client, page, benchmarkCase) {
  await page.evaluate(() => new Promise(requestAnimationFrame));
  await page.evaluate(() => new Promise(requestAnimationFrame));

  const beforeGc = await client.send("Performance.getMetrics");
  await client.send("HeapProfiler.collectGarbage");
  await page.waitForTimeout(100);

  const [{ metrics }, domCounters, rendered] = await Promise.all([
    client.send("Performance.getMetrics"),
    client.send("Memory.getDOMCounters"),
    page.evaluate(() => {
      const renderedRowIndexes = Array.from(
        document.querySelectorAll<HTMLElement>("[data-row-index]"),
        (element) => Number(element.dataset.rowIndex),
      ).filter(Number.isFinite);

      return {
        maxRenderedRowIndex:
          renderedRowIndexes.length > 0
            ? Math.max(...renderedRowIndexes)
            : -1,
        minRenderedRowIndex:
          renderedRowIndexes.length > 0
            ? Math.min(...renderedRowIndexes)
            : -1,
      };
    }),
  ]);

  return { beforeGc, metrics, domCounters, rendered };
}

if (endMeasurement.maxRenderedRowIndex !== benchmarkCase.rows - 1) {
  throw new Error(
    `end-scroll stopped at row ${endMeasurement.maxRenderedRowIndex}`,
  );
}

// isolation.ts의 manifest / production bundle 검사
if ([...optDependencies].some((name) => name.startsWith("@tanstack/"))) {
  throw new Error("opt-datagrid fixture must not depend on TanStack modules");
}

if (tanstackDependencies.has("@reopt-ai/opt-datagrid")) {
  throw new Error(
    "TanStack fixture must not depend on @reopt-ai/opt-datagrid",
  );
}

const sources = sourceMapSources(fixtureDirectory(workspaceRoot, system));
const normalized = sources.join("\n").toLowerCase();

if (
  system === "opt-datagrid" &&
  (normalized.includes("@tanstack") || normalized.includes("tanstack/"))
) {
  throw new Error("opt-datagrid bundle contains TanStack source modules");
}

# 빠른 계약 검증
bun run --filter @reopt/benchmark-datagrid-memory-runner benchmark:smoke

# 이 페이지의 1,000,000 × 8 reference case 재현
bun run --filter @reopt/benchmark-datagrid-memory-runner benchmark --   --case rows-1000000x8 --caseTimeoutMs 60000

# 전체 row/column matrix, 각 case 3회
bun run --filter @reopt/benchmark-datagrid-memory-runner benchmark