Databricks CLI commands

note

This information applies to Databricks CLI versions 0.205 and above. The Databricks CLI is in Public Preview.

Databricks CLI use is subject to the Databricks License and Databricks Privacy Notice, including any Usage Data provisions.

This article provides information about available Databricks CLI commands. This information supplements the command line help. For more information about installing and using the Databricks CLI, see Install or update the Databricks CLI and What is the Databricks CLI?.

The Databricks CLI includes the command groups listed in the following tables. Command groups contain sets of related commands, which can also contain subcommands. To output usage and syntax information for a command group, an individual command, or subcommand:

• databricks <command-group> -h
• databricks <command-group> <command-name> -h
• databricks <command-group> <command-name> <subcommand-name> -h

Many CLI commands map to operations that are documented in the Databricks REST API reference.

Workspace commands

Group	Description and commands
fs	Commands for managing files and the file system: cat, cp, ls, mkdir, rm
git-credentials	Commands for registering personal access tokens for Databricks to do operations on behalf of the user: create, delete, get, list, update
repos	Commands for allowing users to manage their git repos: create, delete, get, list, update get-permission-levels, get-permissions, set-permissions, update-permissions
secrets	Commands for managing secrets, secret scopes, and access permissions: create-scope, delete-acl, delete-scope, delete-secret, get-acl, get-secret, list-acls, list-scopes, list-secrets, put-acl, put-secret
workspace	Commands to list, import, export, and delete notebooks and folders in the workspace: delete, export, export-dir, get-status, import, import-dir, list, mkdirs get-permission-levels, get-permissions, set-permissions, update-permissions

Compute commands

Group	Description and commands
cluster-policies	Commands to control users' ability to configure clusters based on a set of rules: create, delete, edit, get, list get-permission-levels, get-permissions, set-permissions, update-permissions
clusters	Commands that allow you to create, start, edit, list, terminate, and delete clusters: change-owner, create, delete, edit, events, get, list, list-node-types, list-zones, permanent-delete,pin, resize, restart, spark-versions, start, unpin get-permission-levels, get-permissions, set-permissions, update-permissions
global-init-scripts	Commands that enable workspace administrators to configure global initialization scripts for their workspace: create, delete, get, list, update
instance-pools	Commands to create, edit, delete, and list instance pools using ready-to-use cloud instances which reduces a cluster start and auto-scaling times: create, delete, edit, get, list get-permission-levels, get-permissions, set-permissions, update-permissions
instance-profiles	Commands to allow admins to add, list, and remove instance profiles that users can launch clusters with: add, edit, list, remove
libraries	Commands to install, uninstall, and get the status of libraries on a cluster: all-cluster-statuses, cluster-status, install, uninstall
policy-families	Commands to view available policy families: get, list

Jobs commands

Group	Description and commands
jobs	Commands to manage jobs: cancel-all-runs, cancel-run, create, delete, delete-run, export-run, get, get-run, get-run-output, list, list-runs, repair-run, reset, run-now, submit, update get-permission-levels, get-permissions, set-permissions, update-permissions

DLT commands

Group	Description and commands
pipelines	Commands to create, edit, delete, start, and view details about pipelines: create, delete, get, get-update, list-pipeline-events, list-pipelines, list-updates, start-update, stop, update get-permission-levels, get-permissions, set-permissions, update-permissions

Machine Learning commands

Group	Description and commands
experiments	Commands for interacting with experiments, which are the primary unit of organization in MLflow; all MLflow runs belong to an experiment: create-experiment, create-run, delete-experiment, delete-run, delete-runs, delete-tag, get-by-name, get-experiment, get-history, get-runGet, list-artifacts, list-experiments, log-batch, log-inputs, log-metric, log-model, log-param, restore-experiment, restore-run, restore-runs, search-experiments, search-runs, set-experiment-tag, set-tag, update-experiment, update-run get-permission-levels, get-permissions, set-permissions, update-permissions
model-registry	Commands for the Workspace Model Registry: approve-transition-request, create-comment, create-model, create-model-version, create-transition-request, create-webhook, delete-comment, delete-model, delete-model-tag, delete-model-version, delete-model-version-tag, delete-transition-request, delete-webhook, get-latest-versions, get-model, get-model-version,get-model-version-download-uri, list-models, list-transition-requests, list-webhooks, reject-transition-request, rename-model, search-model-versions, search-models, set-model-tag, set-model-version-tag, test-registry-webhook, transition-stage, update-comment, update-model, update-model-version, update-webhook get-permission-levels, get-permissions, set-permissions, update-permissions

Real-time serving commands

Group	Description and commands
serving-endpoints	Commands to create, update, and delete model serving endpoints: build-logs, create, delete, export-metrics, get, list, logs, patch, put, query, update-config get-permission-levels, get-permissions, set-permissions, update-permissions

Identity and access management commands

Group	Description and commands
account	Commands for managing Databricks accounts: Identity and access: access-control, groups, service-principals, users, workspace-assignment Unity Catalog: metastore-assignments, metastores, storage-credentials Settings: ip-access-lists, network-connectivity, settings Provisioning: credentials, encryption-keys, networks, private-access, storage, vpc-endpoints, workspaces Billing: billable-usage, log-delivery OAuth: custom-app-integration, o-auth-published-apps, published-app-integration, service-principal-secrets
auth	Commands for authentication: describe, env, login, profiles, token
current-user	Commands to retrieve information about currently authenticated user or service principal: me
groups	Commands for groups that simplify identity management, making it easier to assign access to Databricks workspace, data, and other securable objects: create, delete, get, list, patch, update
permissions	Commands to create read, write, edit, update and manage access for various users on different objects and endpoints: get, set, update get-permission-levels
service-principals	Commands for identities for use with jobs, automated tools, and systems such as scripts, apps, and CI/CD platforms: create, delete, get, list, patch, update
users	Commands for user identities recognized by Databricks and represented by email addresses: create, delete, get, list, patch, update get-permission-levels, get-permissions, set-permissions, update-permissions

SQL-related commands

Group	Description and commands
alerts	Commands to perform operations on alerts: create, delete, get, list, update
alerts-legacy	Commands to perform operations on legacy alerts: create, delete, get, list, update
data-sources	Commands for making new query objects: list
queries	Commands to perform operations on query definitions: create, delete, get, list, restore, update
queries-legacy	Commands to perform operations on legacy query definitions: create, delete, get, list, restore, update
query-history	Commands to access the history of queries through SQL warehouses: list
warehouses	Commands to manage SQL warehouses, which are a compute resource that lets you run SQL commands on data objects within Databricks SQL: create, delete, edit, get, get-workspace-warehouse-config, list, set-workspace-warehouse-config, start, stop get-permission-levels, get-permissions, set-permissions, update-permissions

Unity Catalog commands

Group	Description and commands
artifact-allowlists	Commands to manage artifact allow lists. In Databricks Runtime 13.3 and above, you can add libraries and init scripts to the allowlist in UC so that users can leverage these artifacts on compute configured with standard access mode: get, update
catalogs	Commands to manage catalogs, the first layer of Unity Catalog's three-level namespace: create, delete, get, list, update
credentials	Commands to manage credentials, which are the authentication and authorization mechanism for accessing services on your cloud tenant. Each credential is subject to Unity Catalog access-control policies that control which users and groups can access the credential. create-credential, delete-credential, generate-temporary-service-credential, get-credential, list-credentials, update-credential, validate-credential
connections	Commands to create a connection to an external data source: create, delete, get, list, update
external-locations	Commands to manage external locations, which combine a cloud storage path with a storage credential that authorizes access to the cloud storage path: create, delete, get, list, update
functions	Commands to manage user-defined functions (UDFs) in Unity Catalog: create, delete, get, list, update
grants	Commands to grant access to data in Unity Catalog: get, get-effective, update
metastores	Commands to manage metastores, which are the top-level container of objects in Unity Catalog: assign, create, current, delete, get, list, summary, unassign, update, update-assignment
model-versions	Commands to manage model versions. Databricks provides a hosted version of MLflow Model Registry in Unity Catalog. delete, get, get-by-alias, list, update
online-tables	Commands to manage online tables, which provide lower latency and higher QPS access to data from Delta tables: create, delete, get
quality-monitors	Commands to manage monitors, which compute and monitor data or model quality metrics for a table over time: create, delete, get, get-refresh, list-refreshes, run-refresh, update
registered-models	Commands to manage registered models. Databricks provides a hosted version of MLflow Model Registry in Unity Catalog. create, delete, delete-alias, get, list, set-alias, update
resource-quotas	Commands to manage resource quotas enforced by Unity Catalog on all securable objects, which limit the number of resources that can be created. get-quota, list-quotas
schemas	Commands to manage schemas, which are the second layer of Unity Catalog's three-level namespace: create, delete, get, list, update
storage-credentials	Commands to manage storage credentials, which are an authentication and authorization mechanism for accessing data stored on your cloud tenant: create, delete, get, list, update, validate
system-schemas	Commands to manage system schemas, which are schemas that live within the system catalog: disable, enable, list
table-constraints	Commands to manage primary key and foreign key constraints that encode relationships between fields in tables: create, delete
tables	Commands to manage tables, which resides in the third layer of Unity Catalog's three-level namespace: delete, exists, get, list, list-summaries
temporary-table-credentials	Commands to manage temporary table credentials, which are short-lived, downscoped credentials used to access cloud storage locations where table data is stored in Databricks. generate-temporary-table-credentials
volumes	Commands to manage volumes, which are a Unity Catalog (UC) capability for accessing, storing, governing, organizing and processing files: create, delete, list, read, update
workspace-bindings	Commands to manage securable workspace bindings. Securables in Databricks can be configured as OPEN or ISOLATED. get, get-bindings, update, update-bindings

Delta sharing commands

Group	Description and commands
providers	Commands to manage data providers, which represent the organizations who share data: create, delete, get, list, list-shares, update
recipient-activation	Commands to manage recipient activation, which is only applicable in the open sharing model where the recipient object has the TOKEN authentication type: get-activation-url-info, retrieve-token
recipients	Commands to manage recipients, which you create using :method:recipients/create to represent an organization which you want to allow access to shares: create, delete, get, list, rotate-token, update share-permissions
shares	Commands to manage shares, which are containers instantiated with :method:shares/create: create, delete, get, list, update share-permissions, update-permissions

Settings commands

Group	Description and commands
ip-access-lists	Commands to enable admins to configure IP access lists: create, delete, get, list, replace, update
notification-destinations	Commands to manage a workspace's notification destinations: create, delete, get, list, update
settings	Commands to allow users to manage settings at the workspace level: automatic-cluster-update, csp-enablement, default-namespace, esm-enablement, restrict-workspace-admins
token-management	Commands that enable administrators to get all tokens and delete tokens for other users: create-obo-token, delete, get, list get-permission-levels, get-permissions, set-permissions, update-permissions
tokens	Commands to create, list, and revoke tokens that can be used to authenticate and access Databricks REST APIs: create, delete, list
workspace-conf	Commands to update workspace settings: get-status, set-status

Developer tools commands

Group	Description and commands
bundle	Commands to manage Databricks Asset Bundles, which let you express your Databricks projects as code: deploy, deployment, destroy, generate, init, open, run, schema, summary, sync, validate
sync	Synchronize a local directory to a workspace directory.

Vector search commands

Group	Description and commands
vector-search-endpoints	Commands to manage vector search endpoints, which represent the compute resources to host vector search indexes: create-endpoint, delete-endpoint, get-endpoint, list-endpoints
vector-search-indexes	Commands to manage vector search indexes, an efficient representation of your embedding vectors that supports real-time and efficient approximate nearest neighbor (ANN) search queries: create-index, delete-data-vector-index, delete-index, get-index, list-indexes, query-index, sync-index, upsert-data-vector-index

Dashboard commands

Group	Description and commands
dashboards	Commands for modifying legacy dashboards: create, delete, get, list, restore, update
genie	Commands for modifying Genie, which provides a no-code experience for business users, powered by AI/BI: create-message, execute-message-attachment-query, get-message, get-message-attachment-query-result, get-spaced, start-conversation
lakeview	Commands that provide specific management operations for AI/BI dashboards: create, create-schedule, create-subscription, delete-schedule, delete-subscription, get, get-published, get-schedule, get-subscription, list, list-schedules, list-subscriptions, migrate, publish, trash, unpublish, update, update-schedule

Marketplace commands

Group	Description and commands
consumer-fulfillments	Commands for managing fulfillments, which are entities that allow consumers to preview installations. get, list
consumer-installations	Commands for managing installations, which are entities that allow consumers to interact with Databricks Marketplace listings. create, delete, list, list-listing-installations, update
consumer-listings	Commands for managing Databricks Marketplace consumer listings: batch-get, get, list, search
consumer-personalization-requests	Commands for managing personalization requests, which allow customers to interact with the individualized Marketplace listing flow. create, get, list
consumer-providers	Commands for managing providers, which are the entities that publish listings to the Marketplace. batch-get, get, list
provider-exchange-filters	Commands for managing Marketplace exchanges filters, which curate which groups can access an exchange. create, delete, list, update
provider-exchanges	Commands for managing Marketplace exchanges, which allow providers to share their listings with a curated set of customers. add-listing-to-exchange, create, delete, delete-listing-from-exchange, get, list, list-exchanges-for-listing, list-listings-for-exchange, update
provider-files	Commands for managing Marketplace files, such as preview notebooks and provider icons. create, delete, get, list
provider-listings	Commands for managing provider listings: create, delete, get, list, update
provider-personalization-requests	Commands for managing personalization requests, which are an alternate to instantly available listings. list, update
provider-provider-analytics-dashboards	Commands to manage the templated analytics for providers: create, get, get-latest-version, update
provider-providers	Commands to manage providers, which manage assets in Marketplace. create, delete, get, list, update

Apps commands

Group	Description and commands
apps	Commands to manage Databricks apps, which run directly on your Databricks instance, integrate with your data, use and extend Databricks services, and enable users to interact through single sign-on. create, delete, deploy, get, get-deployment, list, list-deployments, run-local, start, stop, update

Clean rooms commands

Group	Description and commands
clean-room-assets	Commands to manage clean room assets, which are data and code objects such as tables, volumes, and notebooks that are shared with the clean room. create, delete, get, list, update
clean-room-task-runs	Commands to manage clean room task runs, which are the executions of notebooks in a clean room. list
clean-rooms	Commands to manage clean rooms. Clean rooms use Delta Sharing and serverless compute to provide a secure and privacy-protecting environment where multiple parties can work together on sensitive enterprise data without direct access to each other’s data. create, create-output-catalog, delete, get, list, update

Additional commands

Group	Description and commands
api	Commands to make requests to the Databricks REST API: delete, get, head, patch, post, put
completion	Commands to generate the autocompletion script for the specified shell: bash, fish, powershell, zsh
configure	Configure the Databricks CLI.
help	Output usage information for any command.
labs	Commands to manage Databricks Labs installations: clear-cache, install, installed, list, show, uninstall, upgrade
version	Retrieve the version of the CLI currently being used.

Global flags

The following flags are available to all Databricks CLI commands. Note that some flags do not apply to some commands. For detailed information about specific commands and their flags, see the command-line help.

Flag	Description
-h or --help	Display help for the Databricks CLI or the related command group or the related command.
-e or --environment string	A string representing the bundle environment to use if applicable for the related command.
--log-file	A string representing the to write output logs to. If this flag is not specified then the default is to write output logs to stderr.
--log-format	text to write output logs to text or json to write output logs to JSON. If this flag is not specified then output logs are written as text.
--log-level	A string representing the log format level. If not specified then the log format level is disabled.
-o or --output	text to write output as text or json to write output as JSON. If this flag is not specified then output is written as text.
-p or --profile	A string representing the named configuration profile to use within your .databrickscfg file. If this flag is not specified then the DEFAULT named profile is used if one exists. You can press Tab after --profile or -p to display a list of existing available configuration profiles to choose from instead of entering the configuration profile name manually.
--progress-format	The format for progress logs to display (default (the default) or append or inplace or json).