List entry types

List existing entry types.

Code sample

Java

Before trying this sample, follow the Java setup instructions in the Dataplex quickstart using client libraries. For more information, see the Dataplex Java API reference documentation.

To authenticate to Dataplex, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

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

Before trying this sample, follow the Python setup instructions in the Dataplex quickstart using client libraries. For more information, see the Dataplex Python API reference documentation.

To authenticate to Dataplex, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

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}")

What's next

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