* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

Neste exemplo, usaremos **SQLite**, porque ele usa um único arquivo e o Python tem suporte integrado. Assim, você pode copiar este exemplo e executá-lo como está.

		}
		if !vcfg.Enabled() {
			return BucketRemoteTargetNotVersioned{Bucket: tgt.TargetBucket}
		}
	}

	// Check if target is a MinIO server and alive
	hcCtx, cancel := context.WithTimeout(ctx, 3*time.Second)
	scheme := "http"
	if tgt.Secure {
		scheme = "https"
	}
	result := <-sys.hcClient.Alive(hcCtx, madmin.AliveOpts{}, madmin.ServerProperties{

              SmbTransport t2 = sess2.getTransport() ) {

            Assert.assertEquals(t1, t2);
        }

    }


    // this test is meant to test server-side session invalidation behavior
    // and not part of the regular test suite as manual steps are required
    //@Test
    public void testSessionMaintenance () throws IOException, InterruptedException {

Es ist jedoch möglich, das anzupassen, ein bestimmtes CDN festzulegen oder die Dateien selbst bereitzustellen.

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]
<span style="color: green;">INFO</span>:     Started server process [28722]
<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

</div>

/// note | "Not"

* Para corrigir um bug/questão.
* Para adicionar um novo recurso.

## Entre no chat

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do FastAPI.

/// tip | "Dica"

**FastAPI** uses it so that, if you use a Pydantic model in `response_model`, and your data has an error, you will see the error in your log.

But the client/user will not see it. Instead, the client will receive an "Internal Server Error" with an HTTP status code `500`.

It should be this way because if you have a Pydantic `ValidationError` in your *response* or anywhere in your code (not in the client's *request*), it's actually a bug in your code.

errors.failed_to_delete_file=Failed to delete {0} file.
errors.docid_not_found=Not found Doc ID:{0}
errors.document_not_found=Not found URL of Doc ID:{0}
errors.not_load_from_server=Could not load from this server: {0}
errors.failed_to_start_job=Failed to start job {0}.
errors.failed_to_stop_job=Failed to stop job {0}.
errors.failed_to_download_synonym_file=Failed to download the Synonym file.

errors.failed_to_delete_file=Failed to delete {0} file.
errors.docid_not_found=Not found Doc ID:{0}
errors.document_not_found=Not found URL of Doc ID:{0}
errors.not_load_from_server=Could not load from this server: {0}
errors.failed_to_start_job=Failed to start job {0}.
errors.failed_to_stop_job=Failed to stop job {0}.
errors.failed_to_download_synonym_file=Failed to download the Synonym file.

               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },
               "expr": "sum (pilot_xds)",
               "legendFormat": "Connections (server reported)"
            }
         ],
         "title": "Connections",
         "type": "timeseries"
      },
      {
         "datasource": {
            "type": "datasource",