Crear entrada personalizada

Crea una entrada personalizada dentro del grupo de entrada

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Para obtener documentación en la que se incluye esta muestra de código, consulta lo siguiente:

Muestra de código

Java

Antes de probar esta muestra, sigue las instrucciones de configuración Java que se encuentran en la guía de inicio rápido de Data Catalog con bibliotecas cliente. Si deseas obtener más información, consulta la documentación de referencia de la API de Java de Data Catalog.

Para autenticar en Data Catalog, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

import com.google.cloud.datacatalog.v1.ColumnSchema;
import com.google.cloud.datacatalog.v1.CreateEntryGroupRequest;
import com.google.cloud.datacatalog.v1.CreateEntryRequest;
import com.google.cloud.datacatalog.v1.DataCatalogClient;
import com.google.cloud.datacatalog.v1.Entry;
import com.google.cloud.datacatalog.v1.EntryGroup;
import com.google.cloud.datacatalog.v1.LocationName;
import com.google.cloud.datacatalog.v1.Schema;
import java.io.IOException;

// Sample to create custom entry
public class CreateCustomEntry {

  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "my-project";
    String entryGroupId = "onprem_entry_group";
    String entryId = "onprem_entry_id";
    createCustomEntry(projectId, entryGroupId, entryId);
  }

  public static void createCustomEntry(String projectId, String entryGroupId, String entryId)
      throws IOException {
    // Currently, Data Catalog stores metadata in the us-central1 region.
    String location = "us-central1";

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DataCatalogClient dataCatalogClient = DataCatalogClient.create()) {
      // Construct the EntryGroup for the EntryGroup request.
      EntryGroup entryGroup =
          EntryGroup.newBuilder()
              .setDisplayName("My awesome Entry Group")
              .setDescription("This Entry Group represents an external system")
              .build();

      // Construct the EntryGroup request to be sent by the client.
      CreateEntryGroupRequest entryGroupRequest =
          CreateEntryGroupRequest.newBuilder()
              .setParent(LocationName.of(projectId, location).toString())
              .setEntryGroupId(entryGroupId)
              .setEntryGroup(entryGroup)
              .build();

      // Use the client to send the API request.
      EntryGroup createdEntryGroup = dataCatalogClient.createEntryGroup(entryGroupRequest);

      // Construct the Entry for the Entry request.
      Entry entry =
          Entry.newBuilder()
              .setUserSpecifiedSystem("onprem_data_system")
              .setUserSpecifiedType("onprem_data_asset")
              .setDisplayName("My awesome data asset")
              .setDescription("This data asset is managed by an external system.")
              .setLinkedResource("//my-onprem-server.com/dataAssets/my-awesome-data-asset")
              .setSchema(
                  Schema.newBuilder()
                      .addColumns(
                          ColumnSchema.newBuilder()
                              .setColumn("first_column")
                              .setDescription("This columns consists of ....")
                              .setMode("NULLABLE")
                              .setType("DOUBLE")
                              .build())
                      .addColumns(
                          ColumnSchema.newBuilder()
                              .setColumn("second_column")
                              .setDescription("This columns consists of ....")
                              .setMode("REQUIRED")
                              .setType("STRING")
                              .build())
                      .build())
              .build();

      // Construct the Entry request to be sent by the client.
      CreateEntryRequest entryRequest =
          CreateEntryRequest.newBuilder()
              .setParent(createdEntryGroup.getName())
              .setEntryId(entryId)
              .setEntry(entry)
              .build();

      // Use the client to send the API request.
      Entry createdEntry = dataCatalogClient.createEntry(entryRequest);
      System.out.printf("Custom entry created with name: %s", createdEntry.getName());
    }
  }
}

Node.js

Antes de probar esta muestra, sigue las instrucciones de configuración Node.js que se encuentran en la guía de inicio rápido de Data Catalog con bibliotecas cliente. Si deseas obtener más información, consulta la documentación de referencia de la API de Node.js de Data Catalog.

Para autenticar en Data Catalog, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

// Import the Google Cloud client library.
const {DataCatalogClient} = require('@google-cloud/datacatalog').v1;
const datacatalog = new DataCatalogClient();

async function createCustomEntry() {
  // Create a custom entry within an entry group.

  /**
   * TODO(developer): Uncomment the following lines before running the sample.
   */
  // const projectId = 'my_project';
  // const entryGroupId = 'my_entry_group';
  // const entryId =  'my_entry';
  // const tagTemplateId = 'my_tag_template';

  // Currently, Data Catalog stores metadata in the us-central1 region.
  const location = 'us-central1';

  // Delete any pre-existing Entry with the same name
  // that will be used to create the new Entry.
  try {
    const entryName = datacatalog.entryPath(
      projectId,
      location,
      entryGroupId,
      entryId
    );
    await datacatalog.deleteEntry({name: entryName});
    console.log(`Deleted Entry: ${entryName}`);
  } catch (err) {
    console.log('Entry does not exist.');
  }

  // Delete any pre-existing Entry Group with the same name
  // that will be used to construct the new EntryGroup.
  try {
    const entryGroupName = datacatalog.entryGroupPath(
      projectId,
      location,
      entryGroupId
    );
    await datacatalog.deleteEntryGroup({name: entryGroupName});
    console.log(`Deleted Entry Group: ${entryGroupName}`);
  } catch (err) {
    console.log('Entry Group does not exist.');
  }

  // Delete any pre-existing Template with the same name
  // that will be used to create a new Template.
  const tagTemplateName = datacatalog.tagTemplatePath(
    projectId,
    location,
    tagTemplateId
  );

  let tagTemplateRequest = {
    name: tagTemplateName,
    force: true,
  };

  try {
    await datacatalog.deleteTagTemplate(tagTemplateRequest);
    console.log(`Deleted template: ${tagTemplateName}`);
  } catch (error) {
    console.log(`Cannot delete template: ${tagTemplateName}`);
  }

  // Construct the EntryGroup for the EntryGroup request.
  const entryGroup = {
    displayName: 'My awesome Entry Group',
    description: 'This Entry Group represents an external system',
  };

  // Construct the EntryGroup request to be sent by the client.
  const entryGroupRequest = {
    parent: datacatalog.locationPath(projectId, location),
    entryGroupId: entryGroupId,
    entryGroup: entryGroup,
  };

  // Use the client to send the API request.
  const [createdEntryGroup] =
    await datacatalog.createEntryGroup(entryGroupRequest);
  console.log(`Created entry group: ${createdEntryGroup.name}`);

  // Construct the Entry for the Entry request.
  const entry = {
    userSpecifiedSystem: 'onprem_data_system',
    userSpecifiedType: 'onprem_data_asset',
    displayName: 'My awesome data asset',
    description: 'This data asset is managed by an external system.',
    linkedResource: '//my-onprem-server.com/dataAssets/my-awesome-data-asset',
    schema: {
      columns: [
        {
          column: 'first_column',
          description: 'This columns consists of ....',
          mode: 'NULLABLE',
          type: 'STRING',
        },
        {
          column: 'second_column',
          description: 'This columns consists of ....',
          mode: 'NULLABLE',
          type: 'DOUBLE',
        },
      ],
    },
  };

  // Construct the Entry request to be sent by the client.
  const entryRequest = {
    parent: datacatalog.entryGroupPath(projectId, location, entryGroupId),
    entryId: entryId,
    entry: entry,
  };

  // Use the client to send the API request.
  const [createdEntry] = await datacatalog.createEntry(entryRequest);
  console.log(`Created entry: ${createdEntry.name}`);

  // Create a Tag Template.
  // For more field types, including ENUM, please refer to
  // https://cloud.google.com/data-catalog/docs/quickstarts/quickstart-search-tag#data-catalog-quickstart-nodejs.
  const fieldSource = {
    displayName: 'Source of data asset',
    type: {
      primitiveType: 'STRING',
    },
  };

  const tagTemplate = {
    displayName: 'Demo Tag Template',
    fields: {
      source: fieldSource,
    },
  };

  tagTemplateRequest = {
    parent: datacatalog.locationPath(projectId, location),
    tagTemplateId: tagTemplateId,
    tagTemplate: tagTemplate,
  };

  // Use the client to send the API request.
  const [createdTagTemplate] =
    await datacatalog.createTagTemplate(tagTemplateRequest);
  console.log(`Created template: ${createdTagTemplate.name}`);

  // Attach a Tag to the custom Entry.
  const tag = {
    template: createdTagTemplate.name,
    fields: {
      source: {
        stringValue: 'On-premises system name',
      },
    },
  };

  const tagRequest = {
    parent: createdEntry.name,
    tag: tag,
  };

  // Use the client to send the API request.
  const [createdTag] = await datacatalog.createTag(tagRequest);
  console.log(`Created tag: ${createdTag.name}`);
}
createCustomEntry();

Python

Antes de probar esta muestra, sigue las instrucciones de configuración Python que se encuentran en la guía de inicio rápido de Data Catalog con bibliotecas cliente. Si deseas obtener más información, consulta la documentación de referencia de la API de Python de Data Catalog.

Para autenticar en Data Catalog, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

# Import required modules.
from google.cloud import datacatalog_v1

# Google Cloud Platform project.
project_id = "my-project"
# Entry Group to be created.
entry_group_id = "my_new_entry_group_id"
# Entry to be created.
entry_id = "my_new_entry_id"
# Currently, Data Catalog stores metadata in the us-central1 region.
location = "us-central1"

datacatalog = datacatalog_v1.DataCatalogClient()

# Create an Entry Group.
entry_group_obj = datacatalog_v1.types.EntryGroup()
entry_group_obj.display_name = "My awesome Entry Group"
entry_group_obj.description = "This Entry Group represents an external system"

entry_group = datacatalog.create_entry_group(
    parent=datacatalog_v1.DataCatalogClient.common_location_path(
        project_id, location
    ),
    entry_group_id=entry_group_id,
    entry_group=entry_group_obj,
)
entry_group_name = entry_group.name
print("Created entry group: {}".format(entry_group_name))

# Create an Entry.
entry = datacatalog_v1.types.Entry()
entry.user_specified_system = "onprem_data_system"
entry.user_specified_type = "onprem_data_asset"
entry.display_name = "My awesome data asset"
entry.description = "This data asset is managed by an external system."
entry.linked_resource = "//my-onprem-server.com/dataAssets/my-awesome-data-asset"

# Create the Schema, this is optional.
entry.schema.columns.append(
    datacatalog_v1.types.ColumnSchema(
        column="first_column",
        type_="STRING",
        description="This columns consists of ....",
        mode=None,
    )
)

entry.schema.columns.append(
    datacatalog_v1.types.ColumnSchema(
        column="second_column",
        type_="DOUBLE",
        description="This columns consists of ....",
        mode=None,
    )
)

entry = datacatalog.create_entry(
    parent=entry_group_name, entry_id=entry_id, entry=entry
)
print("Created entry: {}".format(entry.name))

¿Qué sigue?

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