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코드 샘플

Java

이 샘플을 사용해 보기 전에 클라이언트 라이브러리 사용한 Dataplex 빠른 시작의 Java 설정 안내를 따르세요. 자세한 내용은 Dataplex Java API 참조 문서를 참고하세요.

Dataplex에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 로컬 개발 환경의 인증 설정을 참조하세요.

import com.google.cloud.dataplex.v1.Aspect;
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.EntrySource;
import com.google.protobuf.Struct;
import com.google.protobuf.Value;
import java.util.Map;

public class CreateEntry {

  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 entryGroupId = "MY_ENTRY_GROUP_ID";
    String entryId = "MY_ENTRY_ID";

    Entry createdEntry = createEntry(projectId, location, entryGroupId, entryId);
    System.out.println("Successfully created entry: " + createdEntry.getName());
  }

  // Method to create Entry located in projectId, location, entryGroupId and with entryId
  public static Entry createEntry(
      String projectId, String location, String entryGroupId, String entryId) 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()) {
      EntryGroupName entryGroupName = EntryGroupName.of(projectId, location, entryGroupId);
      Entry entry =
          Entry.newBuilder()
              // Example of system Entry Type.
              // It is also possible to specify custom Entry Type.
              .setEntryType("projects/dataplex-types/locations/global/entryTypes/generic")
              .setEntrySource(
                  EntrySource.newBuilder().setDescription("description of the entry").build())
              .putAllAspects(
                  Map.of(
                      "dataplex-types.global.generic",
                      Aspect.newBuilder()
                          // This is required Aspect Type for "generic" Entry Type.
                          // For custom Aspect Type required Entry Type would be different.
                          .setAspectType(
                              "projects/dataplex-types/locations/global/aspectTypes/generic")
                          .setData(
                              Struct.newBuilder()
                                  // "Generic" Aspect Type have fields called "type" and "system.
                                  // The values below are a sample of possible options.
                                  .putFields(
                                      "type",
                                      Value.newBuilder().setStringValue("example value").build())
                                  .putFields(
                                      "system",
                                      Value.newBuilder().setStringValue("example system").build())
                                  .build())
                          .build()))
              .build();
      return client.createEntry(entryGroupName, entry, entryId);
    }
  }
}

Python

이 샘플을 사용해 보기 전에 클라이언트 라이브러리 사용한 Dataplex 빠른 시작의 Python 설정 안내를 따르세요. 자세한 내용은 Dataplex Python API 참조 문서를 참고하세요.

Dataplex에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 로컬 개발 환경의 인증 설정을 참조하세요.

from google.cloud import dataplex_v1
from google.protobuf import struct_pb2


def create_entry(
    project_id: str, location: str, entry_group_id: str, entry_id: str
) -> dataplex_v1.Entry:
    """Method to create Entry located in project_id, location, entry_group_id and with entry_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 Entry Group
        parent = (
            f"projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}"
        )
        entry = dataplex_v1.Entry(
            # Example of system Entry Type.
            # It is also possible to specify custom Entry Type.
            entry_type="projects/dataplex-types/locations/global/entryTypes/generic",
            entry_source=dataplex_v1.EntrySource(
                description="description of the entry"
            ),
            aspects={
                "dataplex-types.global.generic": dataplex_v1.Aspect(
                    # This is required Aspect Type for "generic" Entry Type.
                    # For custom Aspect Type required Entry Type would be different.
                    aspect_type="projects/dataplex-types/locations/global/aspectTypes/generic",
                    data=struct_pb2.Struct(
                        fields={
                            # "Generic" Aspect Type have fields called "type" and "system.
                            # The values below are a sample of possible options.
                            "type": struct_pb2.Value(string_value="example value"),
                            "system": struct_pb2.Value(string_value="example system"),
                        }
                    ),
                )
            },
        )
        return client.create_entry(parent=parent, entry=entry, entry_id=entry_id)


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"

    created_entry = create_entry(project_id, location, entry_group_id, entry_id)
    print(f"Successfully created entry: {created_entry.name}")

다음 단계

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