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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 queries
command group within the Databricks CLI allows you to perform get, create, update, and delete operations on queries. A query is a Databricks SQL object that includes the target SQL warehouse, query text, name, description, tags, and parameters. See Access and manage saved queries.
databricks queries create
Create a query.
databricks queries create [flags]
Options
--auto-resolve-display-name
If true, automatically resolve query display name conflicts.
--json JSON
The inline JSON string or the @path to the JSON file with the request body.
databricks queries delete
Move a query to the trash. Trashed queries immediately disappear from searches and list views, and cannot be used for alerts. You can restore a trashed query through the UI. A trashed query is permanently deleted after 30 days.
databricks queries delete ID [flags]
Arguments
ID
The ID of the query to delete
Options
databricks queries get
Get a query.
databricks queries get ID [flags]
Arguments
ID
The ID of the query to get
Options
databricks queries list
List queries accessible to the user, ordered by creation time.
Important
Running this command concurrently 10 or more times could result in throttling, service degradation, or a temporary ban.
databricks queries list [flags]
Options
--page-size int
Number of queries to return per page
--page-token string
Token for pagination
databricks queries update
Update a query.
databricks queries update ID UPDATE_MASK [flags]
Arguments
ID
The ID of the query to update
UPDATE_MASK
The field mask must be a single string, with multiple fields separated by commas (no spaces). The field path is relative to the resource object, using a dot (.
) to navigate sub-fields (e.g., author.given_name
). Specification of elements in sequence or map fields is not allowed, as only the entire collection field can be specified. Field names must exactly match the resource field names.
An asterisk field mask (*
) indicates full replacement. It's recommended to always explicitly list the fields being updated and avoid using wildcards, as it can lead to unintended results if the API changes in the future.
Options
--auto-resolve-display-name
If true, automatically resolve alert display name conflicts.
--json JSON
The inline JSON string or the @path to the JSON file with the request body.
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