//     newerThan: "7d" # match objects newer than this value (e.g. 7d10h31s)
//     olderThan: "7d" # match objects older than this value (e.g. 7d10h31s)
//     createdAfter: "date" # match objects created after "date"
//     createdBefore: "date" # match objects created before "date"
//     tags:
//       - key: "name"
//         value: "pick*" # match objects with tag 'name', with all values starting with 'pick'
//     metadata:

	if ts2.Before(ts1) {
		v, err := dateDiff(timePart, ts2, ts1)
		if err == nil {
			v.negate()
		}
		return v, err
	}

	duration := ts2.Sub(ts1)
	y1, m1, d1 := ts1.Date()
	y2, m2, d2 := ts2.Date()

	switch timePart {
	case timePartYear:
		dy := int64(y2 - y1)
		if m2 > m1 || (m2 == m1 && d2 >= d1) {
			return FromInt(dy), nil
		}
		return FromInt(dy - 1), nil

        data.putValue(ExtractData.URL, "https://example.com/docs/document.pdf");
        data.putValue("title", "Important Document");
        data.putValue("author", "Jane Smith");
        data.putValue("date", "2025-01-15");

        // Add multiple values
        String[] keywords = { "business", "report", "analysis", "2025" };
        data.putValues("keywords", keywords);

- Kubeadm: deprecated the kubeadm `RootlessControlPlane` feature gate (previously alpha), given that the core K8s `UserNamespacesSupport` feature gate graduated to beta in 1.30.
  Once core Kubernetes support for user namespaces is generally available and kubeadm has started to support running the control plane in userns pods, the kubeadm `RootlessControlPlane` feature gate will be removed entirely.

  - type: markdown
    attributes:
      value: |
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        This allows us to keep them consistent and up-to-date.

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- This PR will introduce a feature gate CSIServiceAccountToken with two additional fields in `CSIDriverSpec`. ([#93130](https://github.com...

# /---------------------------------------------------------------------------
# commonColumnMap: (Default map:{})
#
# The definition of common column(contains auto set-up).
# For example, the date you registered the record,
# the user who updated the record and so on...
# The column names are treated as case insensitive.
#
# The variable '$$AccessContext$$' means allcommon.AccessContext.
#
# Example:
# map:{
#     ; commonColumnMap = map:{

- Added `UserNamespacesPodSecurityStandards` feature gate to enable user namespace support for Pod Security Standards.
  Enabling this feature will modify all Pod Security Standard rules to allow setting: `spec[.*].securityContext.[runAsNonRoot,runAsUser]`.
  This feature gate should only be enabled if all nodes in the cluster support the user namespace feature and have it enabled.

                return LocalDateTime.ofInstant(instant, ZoneId.systemDefault());
            } catch (final DateTimeParseException e) {
                logger.debug("Invalid date format: {}", value, e);
            }
        }
        return DfTypeUtil.toLocalDateTime(value);
    }

Hay varias maneras de hacerlo dependiendo de tu caso de uso específico y las herramientas que utilices.

Podrías **desplegar un servidor** tú mismo utilizando una combinación de herramientas, podrías usar un **servicio en la nube** que hace parte del trabajo por ti, u otras opciones posibles.