Einträge auflisten

Vorhandene Einträge auflisten

Codebeispiel

Java

Folgen Sie der Java Einrichtungsanleitung in der Kurzanleitung zu Knowledge Catalog mit Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zur Knowledge Catalog Java API.

Richten Sie zur Authentifizierung bei Knowledge Catalog die Standardanmeldedaten für Anwendungen (ADC) ein. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.

import com.google.cloud.dataplex.v1.CatalogServiceClient;
import com.google.cloud.dataplex.v1.Entry;
import com.google.cloud.dataplex.v1.EntryGroupName;
import com.google.cloud.dataplex.v1.ListEntriesRequest;
import com.google.common.collect.ImmutableList;
import java.io.IOException;
import java.util.List;

public class ListEntries {

  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";
    String entryGroupId = "MY_ENTRY_GROUP_ID";

    List<Entry> entries = listEntries(projectId, location, entryGroupId);
    entries.forEach(aspectType -> System.out.println("Entry name: " + aspectType.getName()));
  }

  // Method to list Entries located in projectId, location and entryGroupId
  public static List<Entry> listEntries(String projectId, String location, String entryGroupId)
      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()) {
      ListEntriesRequest listEntriesRequest =
          ListEntriesRequest.newBuilder()
              .setParent(EntryGroupName.of(projectId, location, entryGroupId).toString())
              // A filter on the entries to return. Filters are case-sensitive.
              // You can filter the request by the following fields:
              // * entry_type
              // * entry_source.display_name
              // To learn more about filters in general, see:
              // https://cloud.google.com/sdk/gcloud/reference/topic/filters
              .setFilter("entry_type=projects/dataplex-types/locations/global/entryTypes/generic")
              .build();
      CatalogServiceClient.ListEntriesPagedResponse listEntriesResponse =
          client.listEntries(listEntriesRequest);
      // Paging is implicitly handled by .iterateAll(), all results will be returned
      return ImmutableList.copyOf(listEntriesResponse.iterateAll());
    }
  }
}

Python

Folgen Sie der Python Einrichtungsanleitung in der Kurzanleitung zu Knowledge Catalog mit Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zur Knowledge Catalog Python API.

Richten Sie zur Authentifizierung bei Knowledge Catalog die Standardanmeldedaten für Anwendungen (ADC) ein. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.

from typing import List

from google.cloud import dataplex_v1


def list_entries(
    project_id: str, location: str, entry_group_id: str
) -> List[dataplex_v1.Entry]:
    """Method to list Entries located in project_id, location and entry_group_id"""

    # 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 Entries location
        parent = (
            f"projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}"
        )
        list_entries_request = dataplex_v1.ListEntriesRequest(
            parent=parent,
            # A filter on the entries to return. Filters are case-sensitive.
            # You can filter the request by the following fields:
            # * entry_type
            # * entry_source.display_name
            # To learn more about filters in general, see:
            # https://cloud.google.com/sdk/gcloud/reference/topic/filters
            filter="entry_type=projects/dataplex-types/locations/global/entryTypes/generic",
        )

        results = client.list_entries(request=list_entries_request)
        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_group_id = "MY_ENTRY_GROUP_ID"

    entries = list_entries(project_id, location, entry_group_id)
    for entry in entries:
        print(f"Entry name: {entry.name}")

Weitere Informationen

Wenn Sie nach Codebeispielen für andere Produkte von Google Cloud suchen und filtern möchten, können Sie den Beispielbrowser fürGoogle Cloud verwenden.