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Aspekttyp erstellen

Erstellen Sie einen Aspekttyp.

Weitere Informationen

Eine ausführliche Dokumentation, die dieses Codebeispiel enthält, finden Sie hier:

Dataplex-Clientbibliotheken

Codebeispiel

Java

Bevor Sie dieses Beispiel ausprobieren, folgen Sie der Einrichtungsanleitung für Java in der Dataplex-Kurzanleitung zur Verwendung von Clientbibliotheken. Weitere Informationen finden Sie in der Referenzdokumentation zur Dataplex Java API.

Richten Sie die Standardanmeldedaten für Anwendungen ein, um sich bei Dataplex zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.

import com.google.cloud.dataplex.v1.AspectType;
import com.google.cloud.dataplex.v1.CatalogServiceClient;
import com.google.cloud.dataplex.v1.LocationName;
import java.util.List;

public class CreateAspectType {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "MY_PROJECT_ID";
    // Available locations: https://cloud.google.com/dataplex/docs/locations
    String location = "MY_LOCATION";
    String aspectTypeId = "MY_ASPECT_TYPE_ID";

    AspectType.MetadataTemplate aspectField =
        AspectType.MetadataTemplate.newBuilder()
            // The name must follow regex ^(([a-zA-Z]{1})([\\w\\-_]{0,62}))$
            // That means name must only contain alphanumeric character or dashes or underscores,
            // start with an alphabet, and must be less than 63 characters.
            .setName("name_of_the_field")
            // Metadata Template is recursive structure,
            // primitive types such as "string" or "integer" indicate leaf node,
            // complex types such as "record" or "array" would require nested Metadata Template
            .setType("string")
            .setIndex(1)
            .setAnnotations(
                AspectType.MetadataTemplate.Annotations.newBuilder()
                    .setDescription("description of the field")
                    .build())
            .setConstraints(
                AspectType.MetadataTemplate.Constraints.newBuilder()
                    // Specifies if field will be required in Aspect Type.
                    .setRequired(true)
                    .build())
            .build();
    List<AspectType.MetadataTemplate> aspectFields = List.of(aspectField);
    AspectType createdAspectType =
        createAspectType(projectId, location, aspectTypeId, aspectFields);
    System.out.println("Successfully created aspect type: " + createdAspectType.getName());
  }

  // Method to create Aspect Type located in projectId, location and with aspectTypeId and
  // aspectFields specifying schema of the Aspect Type
  public static AspectType createAspectType(
      String projectId,
      String location,
      String aspectTypeId,
      List<AspectType.MetadataTemplate> aspectFields)
      throws Exception {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (CatalogServiceClient client = CatalogServiceClient.create()) {
      LocationName locationName = LocationName.of(projectId, location);
      AspectType aspectType =
          AspectType.newBuilder()
              .setDescription("description of the aspect type")
              .setMetadataTemplate(
                  AspectType.MetadataTemplate.newBuilder()
                      // The name must follow regex ^(([a-zA-Z]{1})([\\w\\-_]{0,62}))$
                      // That means name must only contain alphanumeric character or dashes or
                      // underscores, start with an alphabet, and must be less than 63 characters.
                      .setName("name_of_the_template")
                      .setType("record")
                      // Aspect Type fields, that themselves are Metadata Templates
                      .addAllRecordFields(aspectFields)
                      .build())
              .build();
      return client.createAspectTypeAsync(locationName, aspectType, aspectTypeId).get();
    }
  }
}

Python

Bevor Sie dieses Beispiel ausprobieren, folgen Sie der Einrichtungsanleitung für Python in der Dataplex-Kurzanleitung zur Verwendung von Clientbibliotheken. Weitere Informationen finden Sie in der Referenzdokumentation zur Dataplex Python API.

from typing import List

from google.cloud import dataplex_v1


# Method to create Aspect Type located in project_id, location and with aspect_type_id and
# aspect_fields specifying schema of the Aspect Type
def create_aspect_type(
    project_id: str,
    location: str,
    aspect_type_id: str,
    aspect_fields: List[dataplex_v1.AspectType.MetadataTemplate],
) -> dataplex_v1.AspectType:
    """Method to create Aspect Type located in project_id, location and with aspect_type_id and
    aspect_fields specifying schema of the Aspect Type"""

    # Initialize client that will be used to send requests across threads. This
    # client only needs to be created once, and can be reused for multiple requests.
    # After completing all of your requests, call the "__exit__()" method to safely
    # clean up any remaining background resources. Alternatively, use the client as
    # a context manager.
    with dataplex_v1.CatalogServiceClient() as client:
        # The resource name of the Aspect Type location
        parent = f"projects/{project_id}/locations/{location}"
        aspect_type = dataplex_v1.AspectType(
            description="description of the aspect type",
            metadata_template=dataplex_v1.AspectType.MetadataTemplate(
                # The name must follow regex ^(([a-zA-Z]{1})([\\w\\-_]{0,62}))$
                # That means name must only contain alphanumeric character or dashes or underscores,
                # start with an alphabet, and must be less than 63 characters.
                name="name_of_the_template",
                type="record",
                # Aspect Type fields, that themselves are Metadata Templates.
                record_fields=aspect_fields,
            ),
        )
        create_operation = client.create_aspect_type(
            parent=parent, aspect_type=aspect_type, aspect_type_id=aspect_type_id
        )
        return create_operation.result(60)


if __name__ == "__main__":
    # TODO(developer): Replace these variables before running the sample.
    project_id = "MY_PROJECT_ID"
    # Available locations: https://cloud.google.com/dataplex/docs/locations
    location = "MY_LOCATION"
    aspect_type_id = "MY_ASPECT_TYPE_ID"
    aspect_field = dataplex_v1.AspectType.MetadataTemplate(
        # The name must follow regex ^(([a-zA-Z]{1})([\\w\\-_]{0,62}))$
        # That means name must only contain alphanumeric character or dashes or underscores,
        # start with an alphabet, and must be less than 63 characters.
        name="name_of_the_field",
        # Metadata Template is recursive structure,
        # primitive types such as "string" or "integer" indicate leaf node,
        # complex types such as "record" or "array" would require nested Metadata Template
        type="string",
        index=1,
        annotations=dataplex_v1.AspectType.MetadataTemplate.Annotations(
            description="description of the field"
        ),
        constraints=dataplex_v1.AspectType.MetadataTemplate.Constraints(
            # Specifies if field will be required in Aspect Type.
            required=True
        ),
    )
    aspect_fields = [aspect_field]

    created_aspect_type = create_aspect_type(
        project_id, location, aspect_type_id, aspect_fields
    )
    print(f"Successfully created aspect type: {created_aspect_type.name}")

Nächste Schritte

Informationen zum Suchen und Filtern von Codebeispielen für andere Google Cloud -Produkte finden Sie im Google Cloud Beispielbrowser.