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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.
The schemas
command group within the Databricks CLI contains commands to manage schemas in Unity Catalog. A schema is the second layer of Unity Catalog's three-level namespace. A schema organizes tables, views and functions. See What are schemas in Azure Databricks?.
databricks schemas create
Create a new schema for catalog in the metastore. The caller must be a metastore admin, or have the CREATE_SCHEMA
privilege in the parent catalog.
databricks schemas create NAME CATALOG_NAME [flags]
Arguments
NAME
Name of schema, relative to parent catalog.
CATALOG_NAME
Name of parent catalog.
Options
--comment string
User-provided free-form text description.
--json JSON
The inline JSON string or the @path to the JSON file with the request body.
--storage-root string
Storage root URL for managed tables within schema.
Examples
The following example creates a new schema named analytics
in the main
catalog:
databricks schemas create analytics main
The following example creates a new schema with a comment:
databricks schemas create analytics main --comment "Schema for analytics data"
databricks schemas delete
Delete the specified schema from the parent catalog. The caller must be the owner of the schema or an owner of the parent catalog.
databricks schemas delete FULL_NAME [flags]
Arguments
FULL_NAME
Full name of the schema.
Options
--force
Force deletion even if the schema is not empty.
Examples
The following example deletes a schema:
databricks schemas delete main.analytics
The following example force deletes a schema even if it's not empty:
databricks schemas delete main.analytics --force
databricks schemas get
Get the specified schema within the metastore. The caller must be a metastore admin, the owner of the schema, or a user that has the USE_SCHEMA
privilege on the schema.
databricks schemas get FULL_NAME [flags]
Arguments
FULL_NAME
Full name of the schema.
Options
--include-browse
Whether to include schemas in the response for which the principal can only access selective metadata for.
Examples
The following example gets information about a schema:
databricks schemas get main.analytics
The following example gets schema information including browse permissions:
databricks schemas get main.analytics --include-browse
databricks schemas list
List the schemas for a catalog in the metastore. If the caller is the metastore admin or the owner of the parent catalog, all schemas for the catalog will be retrieved. Otherwise, only schemas owned by the caller (or for which the caller has the USE_SCHEMA
privilege) will be retrieved. There is no guarantee of a specific ordering of the elements in the array.
databricks schemas list CATALOG_NAME [flags]
Arguments
CATALOG_NAME
Parent catalog for schemas of interest.
Options
--include-browse
Whether to include schemas in the response for which the principal can only access selective metadata for.
--max-results int
Maximum number of schemas to return.
--page-token string
Opaque pagination token to go to next page based on previous query.
Examples
The following example lists all schemas in the main
catalog:
databricks schemas list main
The following example lists schemas with a maximum of 10 results:
databricks schemas list main --max-results 10
The following example lists schemas using pagination:
databricks schemas list main --page-token <token>
databricks schemas update
Update a schema for a catalog. The caller must be the owner of the schema or a metastore admin. If the caller is a metastore admin, only the owner
field can be changed in the update. If the name
field must be updated, the caller must be a metastore admin or have the CREATE_SCHEMA
privilege on the parent catalog.
databricks schemas update FULL_NAME [flags]
Arguments
FULL_NAME
Full name of the schema.
Options
--comment string
User-provided free-form text description.
--enable-predictive-optimization EnablePredictiveOptimization
Whether predictive optimization should be enabled for this object and objects under it. Supported values: [DISABLE, ENABLE, INHERIT]
--json JSON
The inline JSON string or the @path to the JSON file with the request body.
--new-name string
New name for the schema.
--owner string
Username of current owner of schema.
Examples
The following example updates a schema's comment:
databricks schemas update main.analytics --comment "Updated analytics schema"
The following example changes the owner of a schema:
databricks schemas update main.analytics --owner someone@example.com
The following example renames a schema:
databricks schemas update main.analytics --new-name analytics_v2
Global flags
--debug
Whether to enable debug logging.
-h
or --help
Display help for the Databricks CLI or the related command group or the related command.
--log-file
string
A string representing the file to write output logs to. If this flag is not specified then the default is to write output logs to stderr.
--log-format
format
The log format type, text
or json
. The default value is text
.
--log-level
string
A string representing the log format level. If not specified then the log format level is disabled.
-o, --output
type
The command output type, text
or json
. The default value is text
.
-p, --profile
string
The name of the profile in the ~/.databrickscfg
file to use to run the command. If this flag is not specified then if it exists, the profile named DEFAULT
is used.
--progress-format
format
The format to display progress logs: default
, append
, inplace
, or json
-t, --target
string
If applicable, the bundle target to use