* Microsoft SQL Server，等等其它数据库

在此示例中，我们将使用**SQLite**，因为它使用单个文件并且 在Python中具有集成支持。因此，您可以复制此示例并按原样来运行它。

稍后，对于您的产品级别的应用程序，您可能会要使用像**PostgreSQL**这样的数据库服务器。

/// tip

这儿有一个**FastAPI**和**PostgreSQL**的官方项目生成器，全部基于**Docker**，包括前端和更多工具：<a href="https://github.com/tiangolo/full-stack-fastapi-postgresql" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-fastapi-postgresql</a>

///

/// note

			g := Granted{index: index}
			if c == nil {
				log("dsync: nil locker\n")
				ch <- g
				return
			}

			var locked bool
			var err error
			if isReadLock {
				if locked, err = c.RLock(netLockCtx, args); err != nil {
					log("dsync: Unable to call RLock failed with %s for %#v at %s\n", err, args, c)
				}
			} else {
				if locked, err = c.Lock(netLockCtx, args); err != nil {

	}
}

func TestSimpleWriteLockTimedOut(t *testing.T) {
	locked := testSimpleWriteLock(t, time.Second)

	expected := false
	if locked != expected {
		t.Errorf("TestSimpleWriteLockTimedOut(): \nexpected %#v\ngot      %#v", expected, locked)
	}
}

func testDualWriteLock(t *testing.T, duration time.Duration) (locked bool) {
	ctx := context.Background()

[Python 2's EOL on January 1, 2020](https://www.python.org/dev/peps/pep-0373/#update).

Coinciding with this change, new releases of
[TensorFlow's Docker images](https://hub.docker.com/r/tensorflow/tensorflow/)
provide Python 3 exclusively. Because all images now use Python 3, Docker tags
containing `-py3` will no longer be provided and existing `-py3` tags like
`latest-py3` will not be updated.

## Major Features and Improvements

```
mc ls myminio/images-thumbnail
[2017-02-08 11:39:40 IST]   992B images-thumbnail.jpg
```

## Publish MinIO events to NSQ

Install an NSQ Daemon from [here](https://nsq.io/). Or use the following Docker
command for starting an nsq daemon:

```
podman run --rm -p 4150-4151:4150-4151 nsqio/nsq /nsqd
```

### Step 1: Add NSQ endpoint to MinIO

			lm.ref = 1
			lm.isWriteLock = true
			locked = true
		}
	} else {
		if !lm.isWriteLock {
			lm.ref++
			locked = true
		}
	}

	return locked
}

const (
	lockRetryInterval = 50 * time.Millisecond
)

// lockLoop will acquire either a read or a write lock
//
// The call will block until the lock is granted using a built-in
// timing randomized back-off algorithm to try again until successful

	}
	nsLk.ref++
	n.lockMap[resource] = nsLk
	n.lockMapMutex.Unlock()

	// Locking here will block (until timeout).
	if readLock {
		locked = nsLk.GetRLock(ctx, opsID, lockSource, timeout)
	} else {
		locked = nsLk.GetLock(ctx, opsID, lockSource, timeout)
	}

	if !locked { // We failed to get the lock
		// Decrement ref count since we failed to get the lock
		n.lockMapMutex.Lock()
		n.lockMap[resource].ref--

			go func(i int, endpoint Endpoint) {
				defer wg.Done()

				lk.Lock()
				// Only add lockers only one per endpoint and per erasure set.
				if locker, ok := erasureLockers[endpoint.Host]; ok && !lockerEpSet.Contains(endpoint.Host) {
					lockerEpSet.Add(endpoint.Host)
					s.erasureLockers[i] = append(s.erasureLockers[i], locker)
				}
				lk.Unlock()
			}(i, endpoints.Endpoints[i*setDriveCount+j])
		}
	}
	wg.Wait()

  map<string, string> options = 5;
}

// Represents a Flocker volume mounted by the Flocker agent.
// One and only one of datasetName and datasetUUID should be set.
// Flocker volumes do not support ownership management or SELinux relabeling.
message FlockerVolumeSource {
  // datasetName is Name of the dataset stored as metadata -> name on the dataset for Flocker
  // should be considered as deprecated
  // +optional

		TimeLastRefresh: UTCNow().UnixNano(),
	}

	locker.ll.lockMap["name"] = []lockRequesterInfo{
		lockRequesterInfo1,
		lockRequesterInfo2,
	}

	lri := locker.ll.lockMap["name"]

	// test unknown uid
	if locker.ll.removeEntry("name", dsync.LockArgs{
		Owner: "owner",
		UID:   "unknown-uid",
	}, &lri) {
		t.Errorf("Expected %#v, got %#v", false, true)
	}

	if !locker.ll.removeEntry("name", dsync.LockArgs{