versioning is designed to keep multiple versions of an object in one bucket. For example, you could store `spark.csv` (version `ede336f2`) and `spark.csv` (version `fae684da`) in a single bucket. Versioning protects you from unintended overwrites, deletions, protect objects with retention policies.

To control data retention and storage usage, use object versioning with [object lifecycle management](https://github.com/minio/minio/blob/master/docs/bucket/lifecycle/README.md).  If you have an object...

 * a traditional {@code HashMap} implementation which stores keys and count values as map entries,
 * {@code ObjectCountHashMap} minimizes object allocation and reduces memory footprint.
 *
 * <p>In the absence of element deletions, this will iterate over elements in insertion order.
 */
@GwtCompatible(serializable = true, emulated = true)
@ElementTypesAreNonnullByDefault
class ObjectCountHashMap<K extends @Nullable Object> {

  // eviction request to the time when the pod is seen by PDB controller
  // as having been marked for deletion (or after a timeout). The key in the map is the name of the pod
  // and the value is the time when the API server processed the eviction request. If
  // the deletion didn't occur and a pod is still there it will be removed from
  // the list automatically by PodDisruptionBudget controller after some time.

However, all other types *cannot* be deleted explicitly, and instead are cleaned up when all references are removed. This means we can send partial updates for non-root types, without deleting unsent resources. This effectively allows doing delta updates over SotW. This optimization is critical for our endpoints generator, ensuring that...

      if (count == 0 && !isLinkedHash) {
        contents = new ObjectCountLinkedHashMap<E>(contents);
        isLinkedHash = true;
        // to preserve insertion order through deletions, we have to switch to an actual linked
        // implementation at least for now, but this should be a super rare case
      } else if (buildInvoked) {
        contents = new ObjectCountHashMap<E>(contents);

}

func (schema *Schema) setRelation(relation *Relationship) {
	// set non-embedded relation
	if rel := schema.Relationships.Relations[relation.Name]; rel != nil {
		if len(rel.Field.BindNames) > 1 {
			schema.Relationships.Relations[relation.Name] = relation
		}
	} else {
		schema.Relationships.Relations[relation.Name] = relation
	}

	// set embedded relation
	if len(relation.Field.EmbeddedBindNames) <= 1 {
		return

	}
	// warn user if deleting a tag that still has namespaces pointed to it
	if len(taggedNamespaces) > 0 && !skipConfirmation {
		if !util.Confirm(buildDeleteTagConfirmation(tagName, taggedNamespaces), w) {
			fmt.Fprintf(w, "Aborting operation.\n")
			return nil
		}
	}

	// proceed with webhook deletion
	err = DeleteTagWebhooks(ctx, kubeClient, tagName)
	if err != nil {

			for _, join := range db.Statement.Joins {
				if db.Statement.Schema != nil {
					var isRelations bool // is relations or raw sql
					var relations []*schema.Relationship
					relation, ok := db.Statement.Schema.Relationships.Relations[join.Name]
					if ok {
						isRelations = true
						relations = append(relations, relation)
					} else {
						// handle nested join like "Manager.Company"

	if err != nil {
		t.Fatalf("failed to parse schema, got error %v", err)
	}

	if len(userSchema.Relationships.Relations) != 1 {
		t.Fatalf("expects 1 relations, but got %v", len(userSchema.Relationships.Relations))
	}

	if createdByRel, ok := userSchema.Relationships.Relations["CreatedBy"]; ok {
		if createdByRel.FieldSchema != userSchema {

		if f.Size == 0 {
			f.Size = ref.ForeignKey.Size
		}
		ref.ForeignKey = f
	}

	for name, rel := range relation.JoinTable.Relationships.Relations {
		if _, ok := joinSchema.Relationships.Relations[name]; !ok {
			rel.Schema = joinSchema
			joinSchema.Relationships.Relations[name] = rel
		}
	}
	relation.JoinTable = joinSchema

	return nil
}

// Use use plugin
func (db *DB) Use(plugin Plugin) error {