Create custom Data Catalog entries for your data sources

To integrate your custom data sources, call Data Catalog APIs that allow you to create and manage Data Catalog entries with custom data resource types. In this document, an entry for a custom data resource type is referred to as a "custom entry".

Create entry groups and custom entries

Custom entries must be placed within a user-created entry group. You create the entry group, then create the custom entry within the entry group. For more information, see Entries and entry groups.

After creating an entry, you can set IAM policies on the entry group to define who has access to the entry group and the entries inside.

Java

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

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

Before trying this sample, follow the Node.js setup instructions in the Data Catalog quickstart using client libraries. For more information, see the Data Catalog Node.js API reference documentation.

// 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

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

# 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))

REST & CMD LINE

REST & CMD LINE

See the following examples and refer to the Data Catalog REST API entryGroups.create and entryGroups.entries.create documentation.

1. Create an entry group

Before using any of the request data, make the following replacements:

  • project-id: Your GCP project ID
  • entryGroupId: The ID must begin with a letter or underscore, contain only English letters, numbers and underscores, and be at most 64 characters.
  • displayName: The textual name for the entry group.

HTTP method and URL:

POST https://datacatalog.googleapis.com/v1/projects/project-id/locations/us-central1/entryGroups?entryGroupId=entryGroupId

Request JSON body:

{
  "displayName": "Entry Group display name"
}

To send your request, expand one of these options:

You should receive a JSON response similar to the following:

{
  "name": "projects/my_projectid/locations/us-central1/entryGroups/my_entry_group",
  "displayName": "Entry Group display name",
  "dataCatalogTimestamps": {
    "createTime": "2019-10-19T16:35:50.135Z",
    "updateTime": "2019-10-19T16:35:50.135Z"
  }
}

2. Create a custom entry within the entry group

Before using any of the request data, make the following replacements:

  • project_id: Your GCP project ID.
  • entryGroupId: ID of the existing entryGroup. The entry will be created in this EntryGroup.
  • entryId: ID of the new entry. The ID must begin with a letter or underscore, contain only English letters, numbers and underscores, and have at most 64 characters.
  • description: Optional entry description
  • displayName: Optional textual name for the entry.
  • userSpecifiedType: Custom type name. The type name must begin with a letter or underscore, must only contain letters, numbers, and underscores, and must have at most 64 characters.
  • userSpecifiedSystem: The entry's non-GCP source system, which is not integrated with Data Catalog. The source system name must begin with a letter or underscore, must only contain letters, numbers, and underscores, and must have at most 64 characters.
  • linkedResource: Optional fullname of the resource the entry refers to.
  • schema: Optional data schema.

    Example JSON schema:
    { ...
      "schema": {
        "columns": [
          {
            "column": "first_name",
            "description": "First name",
            "mode": "REQUIRED",
            "type": "STRING"
          },
          {
            "column": "last_name",
            "description": "Last name",
            "mode": "REQUIRED",
            "type": "STRING"
          },
          {
            "column": "address",
            "description": "Address",
            "mode": "REPEATED",
            "subcolumns": [
              {
                "column": "city",
                "description": "City",
                "mode": "NULLABLE",
                "type": "STRING"
              },
              {
                "column": "state",
                "description": "State",
                "mode": "NULLABLE",
                "type": "STRING"
              }
            ],
            "type": "RECORD"
          }
        ]
      }
    ...
    }
    

HTTP method and URL:

POST https://datacatalog.googleapis.com/v1/projects/project_id/locations/us-central1/entryGroups/entryGroupId/entries?entryId=entryId

Request JSON body:

{
  "description": "Description",
  "displayName": "Display name",
  "user_specified_type": "my_type",
  "user_specified_system": "my_system",
  "linked_resource": "abc.com/def",
  "schema": { schema }
}

To send your request, expand one of these options:

You should receive a JSON response similar to the following:

{
  "name": "projects/my_project_id/locations/us-central1/entryGroups/my_entryGroup_id/entries/my_entry_id",
  "userSpecifiedType": "my-type",
  "userSpecifiedSystem": "my_system",
  "displayName": "On-prem entry",
  "description": "My entry description.",
  "schema": {
    "columns": [
      {
        "type": "STRING",
        "description": "First name",
        "mode": "REQUIRED",
        "column": "first_name"
      },
      {
        "type": "STRING",
        "description": "Last name",
        "mode": "REQUIRED",
        "column": "last_name"
      },
      {
        "type": "RECORD",
        "description": "Address",
        "mode": "REPEATED",
        "column": "address",
        "subcolumns": [
          {
            "type": "STRING",
            "description": "City",
            "mode": "NULLABLE",
            "column": "city"
          },
          {
            "type": "STRING",
            "description": "State",
            "mode": "NULLABLE",
            "column": "state"
          }
        ]
      }
    ]
  },
  "sourceSystemTimestamps": {
    "createTime": "2019-10-23T23:11:26.326Z",
    "updateTime": "2019-10-23T23:11:26.326Z"
  },
"linkedResource": "abc.com/def"
}