---
title: "POST /v1/projects/{projectsId}/locations/{locationsId}/migratableResources:batchMigrate"
method: POST
path: "/v1/projects/{projectsId}/locations/{locationsId}/migratableResources:batchMigrate"
tags: ["projects"]
---

# POST /v1/projects/{projectsId}/locations/{locationsId}/migratableResources:batchMigrate

`POST /v1/projects/{projectsId}/locations/{locationsId}/migratableResources:batchMigrate`

## Request

- Base URL: `https://aiplatform.googleapis.com`
- URL: `https://aiplatform.googleapis.com/v1/projects/{projectsId}/locations/{locationsId}/migratableResources:batchMigrate`
- Auth: OAuth 2 and OAuth 2
  - Implicit: `https://accounts.google.com/o/oauth2/auth`
  - Scopes: `https://www.googleapis.com/auth/cloud-platform`
  - Authorization code: `https://accounts.google.com/o/oauth2/auth`
  - Token URL: `https://accounts.google.com/o/oauth2/token` scopes: `https://www.googleapis.com/auth/cloud-platform`
- TypeScript: <https://skmtc.dev/google/apis/aiplatform/docs/v1/projects/:projectsId/locations/:locationsId/migratableResources:batchMigrate/post.ts> (a function with typed inputs; its response is checked against the schema)

Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.

## Path parameters

- `projectsId` string, required
- `locationsId` string, required

## Request body

- GoogleCloudAiplatformV1BatchMigrateResourcesRequest: Request message for MigrationService.BatchMigrateResources.
  - `migrateResourceRequests` GoogleCloudAiplatformV1MigrateResourceRequest[]: Required. The request messages specifying the resources to migrate. They must be in the same location as the destination. Up to 50 resources can be migrated in one batch.
    - `migrateAutomlDatasetConfig` GoogleCloudAiplatformV1MigrateResourceRequestMigrateAutomlDatasetConfig: Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.
      - `dataset` string: Required. Full resource name of automl Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`.
      - `datasetDisplayName` string: Required. Display name of the Dataset in Vertex AI. System will pick a display name if unspecified.
    - `migrateAutomlModelConfig` GoogleCloudAiplatformV1MigrateResourceRequestMigrateAutomlModelConfig: Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
      - `model` string: Required. Full resource name of automl Model. Format: `projects/{project}/locations/{location}/models/{model}`.
      - `modelDisplayName` string: Optional. Display name of the model in Vertex AI. System will pick a display name if unspecified.
    - `migrateDataLabelingDatasetConfig` GoogleCloudAiplatformV1MigrateResourceRequestMigrateDataLabelingDatasetConfig: Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.
      - `dataset` string: Required. Full resource name of data labeling Dataset. Format: `projects/{project}/datasets/{dataset}`.
      - `datasetDisplayName` string: Optional. Display name of the Dataset in Vertex AI. System will pick a display name if unspecified.
      - `migrateDataLabelingAnnotatedDatasetConfigs` GoogleCloudAiplatformV1MigrateResourceRequestMigrateDataLabelingDatasetConfigMigrateDataLabelingAnnotatedDatasetConfig[]: Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong to the datalabeling Dataset.
        - `annotatedDataset` string: Required. Full resource name of data labeling AnnotatedDataset. Format: `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
    - `migrateMlEngineModelVersionConfig` GoogleCloudAiplatformV1MigrateResourceRequestMigrateMlEngineModelVersionConfig: Config for migrating version in ml.googleapis.com to Vertex AI's Model.
      - `endpoint` string: Required. The ml.googleapis.com endpoint that this model version should be migrated from. Example values: * ml.googleapis.com * us-centrall-ml.googleapis.com * europe-west4-ml.googleapis.com * asia-east1-ml.googleapis.com
      - `modelDisplayName` string: Required. Display name of the model in Vertex AI. System will pick a display name if unspecified.
      - `modelVersion` string: Required. Full resource name of ml engine model version. Format: `projects/{project}/models/{model}/versions/{version}`.

## Response `200`

Successful response

- GoogleLongrunningOperation: This resource represents a long-running operation that is the result of a network API call.
  - `done` boolean: If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  - `error` GoogleRpcStatus: The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).
    - `code` integer: The status code, which should be an enum value of google.rpc.Code.
    - `details` object[]: A list of messages that carry the error details. There is a common set of message types for APIs to use.
    - `message` string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  - `metadata` object: Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
  - `name` string: The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  - `response` object: The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.

---

[API](https://skmtc.dev/google/apis/aiplatform.md) - [All operations](https://skmtc.dev/google/apis/aiplatform/llms.txt) - [OpenAPI document](https://skmtc.dev/google/apis/aiplatform/revisions/3aca3b348f0c?raw)