char *
 STRNCAT (char *s1, const char *s2, size_t n)
 {
-  char c;
   char *s = s1;
 
   /* Find the end of S1.  */
-  do
-    c = *s1++;
-  while (c != '\0');
-
-  /* Make S1 point before next character, so we can increment
-     it while memory is read (wins on pipelined cpus).  */
-  s1 -= 2;
+  s1 += strlen (s1);
 
-  if (n >= 4)
-    {
-      size_t n4 = n >> 2;
-      do
-	{

    connection reuse.

 *  Breaking: Replace our parameters-based JUnit 5 extension with a new annotation, `@StartStop`.
    Put this annotation on a `MockWebServer` property and the extension will start it before your
    test executes and stop it after it completes. No further configuration is required.

    ```kotlin
    @StartStop val server = MockWebServer()
    ```

          // this is technically unnecessary, but should speed up later accesses
          delegateIndex = i + 1;
          return;
        }
      }
      // If all the delegates were complete, no reason for the next listener to have to
      // go through the whole list. Avoids O(n^2) behavior when the entire output list is
      // cancelled.
      delegateIndex = delegates.size();
    }

* [action required] The `MasterConfiguration` kind in the kubeadm v1alpha2 API has been renamed `InitConfiguration`...

這與 **FastAPI** 所能提供的性能水平相同。

你可以同時利用並行性和平行性，進一步提升效能，這比大多數已測試的 NodeJS 框架都更快，並且與 Go 語言相當，而 Go 是一種更接近 C 的編譯語言（<a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">感謝 Starlette</a>）。

### 並行比平行更好嗎？

不是的！這不是故事的本意。

並行與平行不同。並行在某些 **特定** 的需要大量等待的情境下表現更好。正因如此，並行在 Web 應用程式開發中通常比平行更有優勢。但並不是所有情境都如此。

因此，為了平衡報導，想像下面這個短故事

                    context.search(bindDn, "(name=" + escapeLDAPSearchFilter(groupName) + ")", searchControls);
            if (results.hasMore()) {
                final SearchResult searchResult = results.next();
                final Attribute attribute = searchResult.getAttributes().get("sAMAccountName");
                if (logger.isDebugEnabled()) {
                    logger.debug("sAMAccountName: {}", attribute);

    assertFinallyFailsWithException(closingFuture);
    waitUntilClosed(closingFuture);
    assertStillOpen(closeable1);
    assertClosed(closeable2, closeable3);
  }

  // We don't need to test the happy case for SuccessfulCombiner.call(Async) because it's the same
  // as Combiner.

  public void testWhenAllSucceed_call_failedInput() throws Exception {
    assertFinallyFailsWithException(

			ChecksumCRC64NVME: objPart.Checksums["CRC64NVME"],
		})
		count--
		if count == 0 {
			break
		}
	}

	if len(objParts) > len(result.Parts) {
		result.IsTruncated = true
		// Make sure to fill next part number marker if IsTruncated is true for subsequent listing.
		result.NextPartNumberMarker = result.Parts[len(result.Parts)-1].PartNumber
	}

	return result, nil
}

그리고 **FastAPI**를 사용함으로써 동일한 성능을 낼 수 있습니다.

또한 병렬성과 비동기성을 동시에 사용할 수 있기 때문에, 대부분의 테스트가 완료된 NodeJS 프레임워크보다 더 높은 성능을 얻고 C에 더 가까운 컴파일 언어인 Go와 동등한 성능을 얻을 수 있습니다<a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(모두 Starlette 덕분입니다)</a>.

### 동시성이 병렬성보다 더 나은가?

그렇지 않습니다! 그것이 이야기의 교훈은 아닙니다.

		}, idx, *client.host)
	}
	nerrs := ng.Wait()
	if freeze {
		freezeServices()
	} else {
		unfreezeServices()
	}
	return nerrs
}

// Netperf - perform mesh style network throughput test
func (sys *NotificationSys) Netperf(ctx context.Context, duration time.Duration) []madmin.NetperfNodeResult {
	length := len(sys.allPeerClients)
	if length == 0 {
		// For single node erasure setup.
		return nil