gcloud dataplex content update - update a Dataplex Content Resource with the given configurations

gcloud dataplex content update(CONTENT :--lake=LAKE--location=LOCATION)[--data-text=DATA_TEXT][--description=DESCRIPTION][--labels=[KEY=VALUE,…]][--path=PATH][--validate-only][--kernel-type=KERNEL_TYPE    |--query-engine=QUERY_ENGINE][GCLOUD_WIDE_FLAG …]

Content resource - The Content to Update a Content to. The arguments in thisgroup can be used to specify the attributes of this resource. (NOTE) Someattributes are not given arguments in this group but can be set in other ways.

To set theproject attribute:

• provide the argumentcontent on the command line with a fullyspecified name;
• provide the argument--project on the command line;
• set the propertycore/project.

This must be specified.

CONTENT

ID of the content or fully qualified identifier for the content.

To set thecontent attribute:

• provide the argumentcontent on the command line.

This positional argument must be specified if any of the other arguments in thisgroup are specified.

--lake=LAKE

The identifier of the Dataplex lake resource.

To set thelake attribute:

• provide the argumentcontent on the command line with a fullyspecified name;
• provide the argument--lake on the command line.

--location=LOCATION

The location of the Dataplex resource.

To set thelocation attribute:

• provide the argumentcontent on the command line with a fullyspecified name;
• provide the argument--location on the command line;
• set the propertydataplex/location.

--data-text=DATA_TEXT

Content data in string format

--description=DESCRIPTION

Description of the Content

--labels=[KEY=VALUE,…]

List of label KEY=VALUE pairs to add.

Keys must start with a lowercase character and contain only hyphens(-), underscores (_), lowercase characters, andnumbers. Values must contain only hyphens (-), underscores(_), lowercase characters, and numbers.

--path=PATH

The path for the Content file, represented as directory structure

--validate-only

Validate the update action, but don't actually perform it.

Sql script or notebook related configurations.

At most one of these can be specified:

Notebook related configurations.

--kernel-type=KERNEL_TYPE

Kernel Type of the notebook.KERNEL_TYPE must be (onlyone value is supported):

PYTHON3

python3

Sql script related configurations.

--query-engine=QUERY_ENGINE

Query Engine to be used for the Sql Query.QUERY_ENGINEmust be (only one value is supported):

SPARK

spark

Run$gcloud help for details.