Mencantumkan jenis entri

Mencantumkan jenis entri yang ada.

Contoh kode

Java

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Java di panduan memulai Dataplex menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat dokumentasi referensi Dataplex Java API.

Untuk melakukan autentikasi ke Dataplex, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import com.google.cloud.dataplex.v1.CatalogServiceClient;
import com.google.cloud.dataplex.v1.EntryType;
import com.google.cloud.dataplex.v1.LocationName;
import com.google.common.collect.ImmutableList;
import java.io.IOException;
import java.util.List;

public class ListEntryTypes {

  public static void main(String[] args) throws IOException {
    // 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";

    List<EntryType> entryTypes = listEntryTypes(projectId, location);
    entryTypes.forEach(entryType -> System.out.println("Entry type name: " + entryType.getName()));
  }

  // Method to list Entry Types located in projectId and location
  public static List<EntryType> listEntryTypes(String projectId, String location)
      throws IOException {
    // 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);
      CatalogServiceClient.ListEntryTypesPagedResponse listEntryTypesResponse =
          client.listEntryTypes(locationName);
      // Paging is implicitly handled by .iterateAll(), all results will be returned
      return ImmutableList.copyOf(listEntryTypesResponse.iterateAll());
    }
  }
}

Python

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Python di panduan memulai Dataplex menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat dokumentasi referensi Dataplex Python API.

Untuk melakukan autentikasi ke Dataplex, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

from typing import List

from google.cloud import dataplex_v1


def list_entry_types(project_id: str, location: str) -> List[dataplex_v1.EntryType]:
    """Method to list Entry Types located in project_id and location"""

    # 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 Entry Type location
        parent = f"projects/{project_id}/locations/{location}"
        results = client.list_entry_types(parent=parent)
        return list(results)


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"

    entry_types = list_entry_types(project_id, location)
    for entry_type in entry_types:
        print(f"Entry type name: {entry_type.name}")

Langkah selanjutnya

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