"intervalFactor": 1,
          "legendFormat": "{{server}}",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Goroutines",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

	cpuSubsystem              MetricSubsystem = "cpu_avg"
	storageClassSubsystem     MetricSubsystem = "storage_class"
	fileDescriptorSubsystem   MetricSubsystem = "file_descriptor"
	goRoutines                MetricSubsystem = "go_routine"
	ioSubsystem               MetricSubsystem = "io"
	nodesSubsystem            MetricSubsystem = "nodes"
	objectsSubsystem          MetricSubsystem = "objects"

	go func() {
		select {
		case <-cc:
			return
		case <-c:
			buf := make([]byte, 1<<20)
			stacklen := runtime.Stack(buf, true)
			fmt.Printf("=== Timeout, assuming deadlock ===\n*** goroutine dump...\n%s\n*** end\n", string(buf[:stacklen]))
			os.Exit(2)
		}
	}()
	return func() {
		close(cc)
	}

	go func() {
		select {
		case <-cc:
			return
		case <-c:
			buf := make([]byte, 1<<20)
			stacklen := runtime.Stack(buf, true)
			fmt.Printf("=== Timeout, assuming deadlock ===\n*** goroutine dump...\n%s\n*** end\n", string(buf[:stacklen]))
			os.Exit(2)
		}
	}()
	return func() {
		close(cc)
	}
}

func assertNoActive(t *testing.T, c *Connection) {
	t.Helper()

				globalLocalSetDrives[endpoint.PoolIdx][endpoint.SetIdx][endpoint.DiskIdx] = storage
				return true
			}

			if createStorage(endpoint) {
				continue
			}

			// Start async goroutine to create storage.
			go func(endpoint Endpoint) {
				for {
					time.Sleep(3 * time.Second)
					if createStorage(endpoint) {
						return
					}
				}
			}(endpoint)

		}
	}

## 协程

**协程**只是 `async def` 函数返回的一个非常奇特的东西的称呼。Python 知道它有点像一个函数，它可以启动，也会在某个时刻结束，而且它可能会在内部暂停 ⏸ ，只要内部有一个 `await`。

通过使用 `async` 和 `await` 的异步代码的所有功能大多数被概括为"协程"。它可以与 Go 的主要关键特性 "Goroutines" 相媲美。

## 结论

让我们再来回顾下上文所说的：

> Python 的现代版本可以通过使用 `async` 和 `await` 语法创建**协程**，并用于支持**异步代码**。

现在应该能明白其含义了。✨

所有这些使得 FastAPI（通过 Starlette）如此强大，也是它拥有如此令人印象深刻的性能的原因。

## 非常技术性的细节

* Version-guard Kubectl client Guestbook application test against deployments ([#24478](https://github.com/kubernetes/kubernetes/pull/24478), [@ihmccreery](https://github.com/ihmccreery))
* Fix goroutine leak in ssh-tunnel healthcheck. ([#24487](https://github.com/kubernetes/kubernetes/pull/24487), [@cjcullen](https://github.com/cjcullen))

      V value = entry.getValue();
      if (value == null) {
        tryDrainReferenceQueues();
        return null;
      }

      return value;
    }

    /**
     * Performs routine cleanup following a read. Normally cleanup happens during writes, or from
     * the cleanupExecutor. If cleanup is not observed after a sufficient number of reads, try
     * cleaning up from the read thread.
     */

      V value = entry.getValue();
      if (value == null) {
        tryDrainReferenceQueues();
        return null;
      }

      return value;
    }

    /**
     * Performs routine cleanup following a read. Normally cleanup happens during writes, or from
     * the cleanupExecutor. If cleanup is not observed after a sufficient number of reads, try
     * cleaning up from the read thread.
     */

	defer func() {
		if rec := recover(); rec != nil {
			gridLogIf(ctx, fmt.Errorf("handleMessages: panic recovered: %v", rec))
			debug.PrintStack()
		}
		if debugPrint {
			fmt.Println("handleMessages: write goroutine exited")
		}
		cancel(ErrDisconnected)
		c.connChange.L.Lock()
		if atomic.CompareAndSwapUint32((*uint32)(&c.state), StateConnected, StateConnectionError) {
			c.connChange.Broadcast()
		}