- LegacyObjectType (preserves existing deployments and older xl.json format)
- DeleteMarker (a versionId to capture the DELETE sequences implemented primarily for AWS spec compatibility)

A sample msgpack-JSON `xl.meta`, you can debug the content inside `xl.meta` using [xl-meta.go](https://github.com/minio/minio/tree/master/docs/debugging#decoding-metadata) program.

```json
{
  "Versions": [
    {
      "Type": 1,
      "V2Obj": {

                    server = result.getServer();

                    if (logger.isDebugEnabled()) {
                        for (SettingsProblem problem : result.getProblems()) {
                            logger.debug(problem.getMessage(), problem.getException());
                        }
                    }

                    Authentication authentication = new Authentication(server.getUsername(), server.getPassword());

	ext     string
}

// record will record the profile and store it as the base.
func (p *profilerWrapper) record(profileType string, debug int, recordName string) {
	var buf bytes.Buffer
	if p.records == nil {
		p.records = make(map[string][]byte)
	}
	err := pprof.Lookup(profileType).WriteTo(&buf, debug)
	if err != nil {
		return
	}
	p.records[recordName] = buf.Bytes()
}

	systemCPUCollectorPath              collectorPath = "/system/cpu"
	systemProcessCollectorPath          collectorPath = "/system/process"

	debugGoCollectorPath collectorPath = "/debug/go"

	clusterHealthCollectorPath       collectorPath = "/cluster/health"
	clusterUsageObjectsCollectorPath collectorPath = "/cluster/usage/objects"
	clusterUsageBucketsCollectorPath collectorPath = "/cluster/usage/buckets"

                                : null)
                .build();

        context.eventSpyDispatcher.onEvent(toolchainsRequest);

        context.logger.debug("Reading installation toolchains from '" + installationToolchainsFile + "'");
        context.logger.debug("Reading user toolchains from '" + userToolchainsFile + "'");

        ToolchainsBuilderResult toolchainsResult =

O `RequestValidationError` contém o `body` que ele recebeu de dados inválidos.

Você pode utilizá-lo enquanto desenvolve seu app para registrar o *body* e debugá-lo, e assim retorná-lo ao usuário, etc.

{* ../../docs_src/handling_errors/tutorial005_py39.py hl[14] *}

Tente enviar um item inválido como este:

```JSON
{
  "title": "towel",
  "size": "XL"
}

Daten **nicht übereinstimmen**.

Sie würden also **viele Fehler sehr früh** im Entwicklungszyklus erkennen, anstatt darauf warten zu müssen, dass die Fehler Ihren Endbenutzern in der Produktion angezeigt werden, und dann zu versuchen, zu debuggen, wo das Problem liegt. ✨...

Lets start the lambda handler.

```
python lambda_handler.py
 * Serving Flask app 'webhook'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
```

#   JAVA_HOME - location of a JDK home dir
#
# Optional ENV vars
# -----------------
#   M2_HOME - location of maven2's installed home dir
#   MAVEN_OPTS - parameters passed to the Java VM when running Maven
#     e.g. to debug Maven itself, use
#       set MAVEN_OPTS=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=8000
#   MAVEN_SKIP_RC - flag to disable loading of mavenrc files

Beachten Sie, dass die Fehlermeldung auch direkt die Stelle anzeigt, wo die Validierung nicht erfolgreich war.

Das ist unglaublich hilfreich, wenn Sie Code entwickeln und debuggen, welcher mit Ihrer API interagiert.

///

## Dokumentation { #documentation }