return b, err
	}
	if err == nil {
		b.defaultTimestamps()
	}

	// If bucket metadata is missing look for legacy files,
	// since we only ever had b.Created as non-zero when
	// migration was complete in 2020-May release. So this
	// a check to avoid migrating for buckets that already
	// have this field set.
	if b.Created.IsZero() {
		configs, err := b.getAllLegacyConfigs(ctx, objectAPI)

	go renameAllBucketMetacache(diskPath)
}

// Following error message is added to fix a regression in release
// RELEASE.2018-03-16T22-52-12Z after migrating v1 to v2 to v3. This
// migration failed to capture '.This' field properly which indicates
// the disk UUID association. Below error message is returned when
// we see this situation in format.json, for more info refer

No, an upgrade should not cause any downtime. However, on the first startup -
since MinIO will attempt to migrate any existing IAM data - the boot process may
take slightly longer, but may not be visibly noticeable. Once the migration has

## Guia oficial { #official-guide }

O Pydantic tem um <a href="https://docs.pydantic.dev/latest/migration/" class="external-link" target="_blank">Guia de Migração</a> oficial do v1 para o v2.

Ele também inclui o que mudou, como as validações agora são mais corretas e rigorosas, possíveis ressalvas, etc.

	// In some db (e.g. MySQL), Unique and UniqueIndex are indistinguishable.
	// When a column has a (not Mul) UniqueIndex, Migrator always reports its gorm.ColumnType is Unique.
	// It causes field unnecessarily migration.
	// Therefore, we need to record the UniqueIndex on this column (exclude Mul UniqueIndex) for MigrateColumnUnique.
	UniqueIndex string
}

func (field *Field) BindName() string {

    "docs_src/dependencies/tutorial013_an_py310.py",  # temporary code example?
    "docs_src/dependencies/tutorial014_an_py310.py",  # temporary code example?
    # Pydantic v1 migration, no longer tested
    "docs_src/pydantic_v1_in_v2/tutorial001_an_py310.py",
    "docs_src/pydantic_v1_in_v2/tutorial001_an_py39.py",
    "docs_src/pydantic_v1_in_v2/tutorial002_an_py310.py",

Here we create the tables on an application startup event.

For production you would probably use a migration script that runs before you start your app. 🤓

/// tip

SQLModel will have migration utilities wrapping Alembic, but for now, you can use <a href="https://alembic.sqlalchemy.org/en/latest/" class="external-link" target="_blank">Alembic</a> directly.

///

	if err := json.Unmarshal(b, format); err != nil {
		return "", err
	}
	return format.Erasure.Version, nil
}

// Migrates all previous versions to latest version of `format.json`,
// this code calls migration in sequence, such as V1 is migrated to V2
// first before it V2 migrates to V3.n
func formatErasureMigrate(export string) ([]byte, fs.FileInfo, error) {
	formatPath := pathJoin(export, minioMetaBucket, formatConfigFile)

		t.Fatalf("expected value false, got %t", ok)
	}

	formats[2].Erasure.This = ""
	if ok := formatErasureV3ThisEmpty(formats); !ok {
		t.Fatalf("expected value true, got %t", ok)
	}
}

// Tests xl format migration.
func TestFormatErasureMigrate(t *testing.T) {
	// Get test root.
	rootPath := t.TempDir()

	m := &formatErasureV1{}
	m.Format = formatBackendErasure
	m.Version = formatMetaVersionV1

   *
   * <p><b>Warning:</b> as with all function types in this package, avoid depending on the specific
   * {@code equals}, {@code hashCode} or {@code toString} behavior of the returned function. A
   * future migration to {@code java.util.function} will not preserve this behavior.
   *
   * <p>As discussed above, prefer to use the method reference {@code Object::toString} instead,