- Fixes a 1.29.0 regression that introduced a possible data race that could cause panics in kube-controller-manager and kube-scheduler ([#124518](https://github.com/kubernetes/kubernetes/pull/124518), [@wojtek-t](https://github.com/wojtek-t)) [SIG API Machinery and Scheduling]

   * the returned list is unspecified.
   *
   * <p>The returned list is serializable.
   *
   * <p><b>Note:</b> when possible, you should represent your data as an {@link ImmutableLongArray}
   * instead, which has an {@link ImmutableLongArray#asList asList} view.
   *
   * @param backingArray the array to back the list
   * @return a list view of the array
   */

     * well as create and last write times. This method is almost twice as
     * efficient as manually copying as it employs an additional write
     * thread to read and write data concurrently.
     * <br>
     * It is not possible (nor meaningful) to copy entire workgroups or
     * servers.
     *
     * @param dest
     *            the destination file or directory

這種類型的非同步性正是 NodeJS 成功的原因（儘管 NodeJS 不是平行的），這也是 Go 語言作為程式語言的一個強大優勢。

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。

  Note that the default stored version remained alpha in 1.34, and whoever enabled beta during 1.34 needed to run a storage migration yourself to ensure you don't depend on alpha data in etcd. ([#132821](https://github.com/kubernetes/kubernetes/pull/132821), [@cici37](https://github.com/cici37)) [SIG API Machinery, Etcd and Testing]

- Changed how KMS v2 encryption at rest can generate data encryption keys.

  // For a (long) discussion about this specific issue and the general futility of life.
  //
  // For the time being we are OK with the problem discussed above since it requires a caller to
  // introduce a very specific kind of data-race. And given the other operations performed by these
  // methods that involve volatile read/write operations, in practice there is no issue. Also, the

	//Move vector element to vector.
	VMOVQ		V1.B[3], V9.B16 // 298cf772
	VMOVQ		V2.H[2], V8.H8  // 48c8f772
	VMOVQ		V3.W[1], V7.W4  // 67e4f772
	VMOVQ		V4.V[0], V6.V2  // 86f0f772

	// Load data from memory and broadcast to each element of a vector register: VMOVQ    offset(Rj), <Vd>.<T>
	VMOVQ		(R4), V0.B16	// 80008030
	VMOVQ		1(R4), V0.B16	// 80048030
	VMOVQ		-3(R4), V0.B16	// 80f4bf30

                    } catch (Exception e) {
                        log.debug("Error clearing trees during emergency cleanup", e);
                    }
                }

                // Clear sensitive data
                if (this.sessionKey != null) {
                    java.util.Arrays.fill(this.sessionKey, (byte) 0);
                    this.sessionKey = null;
                }

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