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Esempio di codice

Java

Prima di provare questo esempio, segui le istruzioni di configurazione di Java riportate nella guida rapida di Dataplex che utilizza le librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Dataplex Java.

Per autenticarti a Dataplex, configura le Credenziali predefinite dell'applicazione. Per ulteriori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.

import com.google.cloud.dataplex.v1.CatalogServiceClient;
import com.google.cloud.dataplex.v1.Entry;
import com.google.cloud.dataplex.v1.EntryName;
import com.google.cloud.dataplex.v1.EntryView;
import com.google.cloud.dataplex.v1.LookupEntryRequest;
import java.io.IOException;

public class LookupEntry {

  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";
    String entryId = "MY_ENTRY_ID";

    Entry entry = lookupEntry(projectId, location, entryGroupId, entryId);
    System.out.println("Entry retrieved successfully: " + entry.getName());
    entry
        .getAspectsMap()
        .keySet()
        .forEach(aspectKey -> System.out.println("Retrieved aspect for entry: " + aspectKey));
  }

  // Method to retrieve Entry located in projectId, location, entryGroupId and with entryId
  // When Entry is created in Dataplex for example for BigQuery table,
  // access permissions might differ between Dataplex and source system.
  // "Lookup" method checks permissions in source system.
  // Please also refer how to get an Entry, which checks permissions in Dataplex.
  public static Entry lookupEntry(
      String projectId, String location, String entryGroupId, String entryId) 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()) {
      String projectLocation = String.format("projects/%s/locations/%s", projectId, location);
      LookupEntryRequest lookupEntryRequest =
          LookupEntryRequest.newBuilder()
              // The project to which the request should be attributed
              .setName(projectLocation)
              // The resource name of the Entry
              .setEntry(EntryName.of(projectId, location, entryGroupId, entryId).toString())
              // View determines which Aspects are returned with the Entry.
              // For all available options, see:
              // https://cloud.google.com/sdk/gcloud/reference/dataplex/entries/lookup#--view
              .setView(EntryView.FULL)
              // Following 2 lines will be ignored, because "View" is set to FULL.
              // Their purpose is to demonstrate how to filter the Aspects returned for Entry
              // when "View" is set to CUSTOM.
              .addAspectTypes("projects/dataplex-types/locations/global/aspectTypes/generic")
              .addPaths("my_path")
              .build();
      return client.lookupEntry(lookupEntryRequest);
    }
  }
}

Python

Prima di provare questo esempio, segui le istruzioni di configurazione di Python riportate nella guida rapida di Dataplex che utilizza le librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Dataplex Python.

Per autenticarti a Dataplex, configura le Credenziali predefinite dell'applicazione. Per ulteriori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.

from google.cloud import dataplex_v1


def lookup_entry(
    project_id: str, location: str, entry_group_id: str, entry_id: str
) -> dataplex_v1.Entry:
    """Method to retrieve Entry located in project_id, location, entry_group_id and with entry_id

    When Entry is created in Dataplex for example for BigQuery table,
    access permissions might differ between Dataplex and source system.
    "Lookup" method checks permissions in source system.
    Please also refer how to get an Entry, which checks permissions in Dataplex.
    """

    # 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:
        lookup_entry_request = dataplex_v1.LookupEntryRequest(
            # The project to which the request should be attributed
            name=f"projects/{project_id}/locations/{location}",
            # The resource name of the Entry
            entry=f"projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id}",
            # View determines which Aspects are returned with the Entry.
            # For all available options, see:
            # https://cloud.google.com/sdk/gcloud/reference/dataplex/entries/lookup#--view
            view=dataplex_v1.EntryView.FULL,
            # Following 2 lines will be ignored, because "View" is set to FULL.
            # Their purpose is to demonstrate how to filter the Aspects returned for Entry
            # when "View" is set to CUSTOM.
            aspect_types=[
                "projects/dataplex-types/locations/global/aspectTypes/generic"
            ],
            paths=["my_path"],
        )
        return client.lookup_entry(request=lookup_entry_request)


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"
    entry_id = "MY_ENTRY_ID"

    entry = lookup_entry(project_id, location, entry_group_id, entry_id)
    print(f"Entry retrieved successfully: {entry.name}")
    for aspect_key in entry.aspects.keys():
        print(f"Retrieved aspect for entry: {aspect_key}")

Passaggi successivi

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