This predefined role contains
the permissions required to read and create BigQuery models. To see the exact permissions that are
required, expand the Required permissions section:
Required permissions
The following permissions are required to read and create BigQuery models:
To read information from models:
bigquery.models.getData
You cannot change the name of an existing model. If you need to
change the model's name, follow the steps to copy the model. When
you specify the destination in the copy operation, use the new model name.
Copy models
You can copy one or more models from a source dataset to a destination dataset
by:
Using the Trusted Cloud console.
Using the bq command-line tool's bq cp command.
Calling the jobs.insert
API method directly and configuring a copy job
or by using the client libraries.
Limitations on copying models
Model copy jobs are subject to the following limitations:
When you copy a model, the name of the destination model must adhere to the
same naming conventions as when you create a model.
Model copies are subject to BigQuery
limits on copy jobs.
Copying a model is not supported by the Trusted Cloud console.
Copying multiple source models in a single command is not supported.
When you copy a model by using the CLI, the --destination_kms_key flag is
not supported.
Copy a model
You can copy a model by:
Using the command-line tool's bq cp command
Calling the jobs.insert
API method and configuring a copy job
or by using the client libraries
To copy a model:
Console
The Trusted Cloud console does not support copying models.
bq
Issue the bq cp command. Optional flags:
-f or --force overwrites an existing model in the destination dataset
and doesn't prompt you for confirmation.
-n or --no_clobber returns the following error message if the model
exists in the destination dataset: '[PROJECT_ID]:[DATASET].[MODEL]'
already exists, skipping.
If -n is not specified, the default behavior is to prompt you to choose
whether to replace the destination model.
If the source or destination dataset is in a project other than your default
project, add the project ID to the dataset names in the following format:
PROJECT_ID:DATASET.
DATASET: the name of the source or destination dataset.
SOURCE_MODEL: the model you're copying.
DESTINATION_MODEL: the name of the model in the destination dataset.
Examples:
Enter the following command to copy mydataset.mymodel to
mydataset2.
bq cp mydataset.mymodel mydataset2.mymodel
Enter the following command to copy mydataset.mymodel and to overwrite a
destination model with the same name. The source dataset is in your default
project. The destination dataset is in myotherproject. The -f shortcut is
used to overwrite the destination model without a prompt.
Enter the following command to copy mydataset.mymodel and to return an error
if the destination dataset contains a model with the same name. The source
dataset is in your default project. The destination dataset is in
myotherproject. The -n shortcut is used to prevent overwriting a model with
the same name.
Enter the following command to copy mydataset.mymodel to mydataset2 and
to rename the model mymodel2. Both datasets are in your default project.
Both datasets were created in the asia-northeast1 region.
bq cp mydataset.mymodel mydataset2.mymodel2
API
To copy a model by using the API, call the
bigquery.jobs.insert
method and configure a copy job. Specify your location in the
location property in the jobReference section of the
job resource.
You must specify the following values in your job configuration:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-25 UTC."],[[["\u003cp\u003eThis document explains how to manage BigQuery ML models, focusing on copying and renaming models, as directly renaming existing models is not supported.\u003c/p\u003e\n"],["\u003cp\u003eTo read and create BigQuery models, users need the \u003ccode\u003ebigquery.models.getData\u003c/code\u003e and \u003ccode\u003ebigquery.models.create\u003c/code\u003e permissions, respectively, which are included in the \u003ccode\u003eroles/bigquery.dataEditor\u003c/code\u003e IAM role.\u003c/p\u003e\n"],["\u003cp\u003eModels can be copied to a destination dataset using the Google Cloud command-line tool (\u003ccode\u003ebq cp\u003c/code\u003e), API (\u003ccode\u003ejobs.insert\u003c/code\u003e), or client libraries, but not the Google Cloud console, and they must adhere to specific naming conventions.\u003c/p\u003e\n"],["\u003cp\u003eCopying models with the command-line tool (\u003ccode\u003ebq cp\u003c/code\u003e) supports options to overwrite (\u003ccode\u003e-f\u003c/code\u003e) or prevent overwriting (\u003ccode\u003e-n\u003c/code\u003e) existing models at the destination, but the \u003ccode\u003e--destination_kms_key\u003c/code\u003e flag is unsupported.\u003c/p\u003e\n"],["\u003cp\u003eWhile model renaming is not directly supported, it can be achieved by copying a model to a new destination and assigning it the desired name during the copy operation.\u003c/p\u003e\n"]]],[],null,["# Manage models\n=============\n\nThis document shows you how to manage BigQuery ML models, including\ncopying models and renaming models.\n\nRequired roles\n--------------\n\n\nTo get the permissions that\nyou need to read and create BigQuery models,\n\nask your administrator to grant you the\n\n\n[BigQuery Data Editor](/iam/docs/roles-permissions/bigquery#bigquery.dataEditor) (`roles/bigquery.dataEditor`)\nIAM role on the project.\n\n\nFor more information about granting roles, see [Manage access to projects, folders, and organizations](/iam/docs/granting-changing-revoking-access).\n\n\nThis predefined role contains\n\nthe permissions required to read and create BigQuery models. To see the exact permissions that are\nrequired, expand the **Required permissions** section:\n\n\n#### Required permissions\n\nThe following permissions are required to read and create BigQuery models:\n\n- To read information from models: ` ``bigquery.models.getData`\n- To create models: ` ``bigquery.models.create`\n\n\nYou might also be able to get\nthese permissions\nwith [custom roles](/iam/docs/creating-custom-roles) or\nother [predefined roles](/iam/docs/roles-overview#predefined).\n\nRename models\n-------------\n\nYou cannot change the name of an existing model. If you need to\nchange the model's name, follow the steps to [copy the model](#copy-model). When\nyou specify the destination in the copy operation, use the new model name.\n\nCopy models\n-----------\n\nYou can copy one or more models from a source dataset to a destination dataset\nby:\n\n- Using the Google Cloud console.\n- Using the bq command-line tool's `bq cp` command.\n- Calling the [jobs.insert](/bigquery/docs/reference/rest/v2/jobs/insert) API method directly and configuring a [copy job](/bigquery/docs/reference/rest/v2/Job#JobConfigurationTableCopy) or by using the client libraries.\n\n### Limitations on copying models\n\nModel copy jobs are subject to the following limitations:\n\n- When you copy a model, the name of the destination model must adhere to the same naming conventions as when you [create a model](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create#model_name).\n- Model copies are subject to BigQuery [limits](/bigquery/quotas#copy_jobs) on copy jobs.\n- Copying a model is not supported by the Google Cloud console.\n- Copying multiple source models in a single command is not supported.\n- When you copy a model by using the CLI, the `--destination_kms_key` flag is not supported.\n\n### Copy a model\n\nYou can copy a model by:\n\n- Using the command-line tool's `bq cp` command\n- Calling the [`jobs.insert`](/bigquery/docs/reference/rest/v2/jobs/insert) API method and configuring a [copy job](/bigquery/docs/reference/rest/v2/Job#JobConfigurationTableCopy) or by using the client libraries\n\nTo copy a model: \n\n### Console\n\nThe Google Cloud console does not support copying models.\n\n### bq\n\nIssue the `bq cp` command. Optional flags:\n\n- `-f` or `--force` overwrites an existing model in the destination dataset and doesn't prompt you for confirmation.\n- `-n` or `--no_clobber` returns the following error message if the model\n exists in the destination dataset: `'[PROJECT_ID]:[DATASET].[MODEL]'\n already exists, skipping`.\n\n If `-n` is not specified, the default behavior is to prompt you to choose\n whether to replace the destination model.\n\n| **Note:** The `--destination_kms_key` flag is not supported when you copy a model.\n\nIf the source or destination dataset is in a project other than your default\nproject, add the project ID to the dataset names in the following format:\n\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e`:`\u003cvar translate=\"no\"\u003eDATASET\u003c/var\u003e.\n\nSupply the\n`--location` flag and set the value to your\n[location](/bigquery/docs/locations). \n\n```bash\nbq --location=LOCATION cp -f -n PROJECT_ID:DATASET.SOURCE_MODEL PROJECT_ID:DATASET.DESTINATION_MODEL\n```\n\nReplace the following:\n\n- \u003cvar translate=\"no\"\u003eLOCATION\u003c/var\u003e: the name of your location. The `--location` flag is optional. For example, if you are using BigQuery in the Tokyo region, you can set the flag's value to `asia-northeast1`. You can set a default value for the location using the [.bigqueryrc file](/bigquery/docs/bq-command-line-tool#setting_default_values_for_command-line_flags). For a full list of locations, see [BigQuery locations](/bigquery/docs/locations).\n- \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: your project ID.\n- \u003cvar translate=\"no\"\u003eDATASET\u003c/var\u003e: the name of the source or destination dataset.\n- \u003cvar translate=\"no\"\u003eSOURCE_MODEL\u003c/var\u003e: the model you're copying.\n- \u003cvar translate=\"no\"\u003eDESTINATION_MODEL\u003c/var\u003e: the name of the model in the destination dataset.\n\nExamples:\n\nEnter the following command to copy `mydataset.mymodel` to\n`mydataset2`.\n\nBoth datasets are in your default project and were\ncreated in the `US` multi-region location. \n\n```\nbq --location=US cp mydataset.mymodel mydataset2.mymodel\n```\n\nEnter the following command to copy `mydataset.mymodel` and to overwrite a\ndestination model with the same name. The source dataset is in your default\nproject. The destination dataset is in `myotherproject`. The `-f` shortcut is\nused to overwrite the destination model without a prompt.\n`mydataset` and\n`myotherdataset` were created in the `US` multi-region\nlocation. \n\n```\nbq --location=US cp -f mydataset.mymodel myotherproject:myotherdataset.mymodel\n```\n\nEnter the following command to copy `mydataset.mymodel` and to return an error\nif the destination dataset contains a model with the same name. The source\ndataset is in your default project. The destination dataset is in\n`myotherproject`. The `-n` shortcut is used to prevent overwriting a model with\nthe same name.\nBoth\ndatasets were created in the `US` multi-region location. \n\n```\nbq --location=US cp -n mydataset.mymodel myotherproject:myotherdataset.mymodel\n```\n\nEnter the following command to copy `mydataset.mymodel` to `mydataset2` and\nto rename the model `mymodel2`. Both datasets are in your default project.\nBoth datasets were created in the `asia-northeast1` region. \n\n```\nbq --location=asia-northeast1 cp mydataset.mymodel mydataset2.mymodel2\n```\n\n### API\n\nTo copy a model by using the API, call the\n[`bigquery.jobs.insert`](/bigquery/docs/reference/rest/v2/jobs/insert)\nmethod and configure a `copy` job. Specify your location in the\n`location` property in the `jobReference` section of the\n[job resource](/bigquery/docs/reference/rest/v2/jobs).\n\nYou must specify the following values in your job configuration: \n\n```\n\"copy\": {\n \"sourceTable\": { // Required\n \"projectId\": string, // Required\n \"datasetId\": string, // Required\n \"tableId\": string // Required\n },\n \"destinationTable\": { // Required\n \"projectId\": string, // Required\n \"datasetId\": string, // Required\n \"tableId\": string // Required\n },\n \"createDisposition\": string, // Optional\n \"writeDisposition\": string, // Optional\n },\n```\n\nWhere:\n\n- `sourceTable`: provides information about the model to be copied.\n- `destinationTable`: provides information about the new model.\n- [createDisposition](/bigquery/docs/reference/rest/v2/Job#JobConfigurationTableCopy.FIELDS.create_disposition): specifies whether to create the model if it doesn't exist.\n- [writeDisposition](/bigquery/docs/reference/rest/v2/Job#JobConfigurationTableCopy.FIELDS.write_disposition): specifies whether to overwrite an existing model.\n\nEncrypt models\n--------------\n\nFor more information about using a customer-managed encryption key (CMEK) to\nencrypt a model, see\n[Use CMEK to protect BigQuery ML models](/bigquery/docs/customer-managed-encryption#cmek-bqml).\n\nWhat's next\n-----------\n\n- For an overview of BigQuery ML, see [Introduction to BigQuery ML](/bigquery/docs/bqml-introduction).\n- To get started using BigQuery ML, see [Create machine learning models in BigQuery ML](/bigquery/docs/create-machine-learning-model).\n- To learn more about working with models, see:\n - [Get model metadata](/bigquery/docs/getting-model-metadata)\n - [List models](/bigquery/docs/listing-models)\n - [Update model metadata](/bigquery/docs/updating-model-metadata)\n - [Delete models](/bigquery/docs/deleting-models)\n - [Manage models with Vertex AI](/bigquery/docs/managing-models-vertex)"]]