gcloud alpha dataplex datascans create data-discovery

Stay organized with collections Save and categorize content based on your preferences.

gcloud alpha dataplex datascans create data-discovery - create a Dataplex data discovery scan job

gcloud alpha dataplex datascans create data-discovery (DATASCAN : --location=LOCATION) --data-source-resource=DATA_SOURCE_RESOURCE [--description=DESCRIPTION] [--display-name=DISPLAY_NAME] [--labels=[KEY=VALUE,…]] [--async     | --validate-only] [--bigquery-publishing-connection=BIGQUERY_PUBLISHING_CONNECTION --bigquery-publishing-dataset-location=BIGQUERY_PUBLISHING_DATASET_LOCATION --bigquery-publishing-table-type=BIGQUERY_PUBLISHING_TABLE_TYPE --storage-exclude-patterns=[PATTERN,…] --storage-include-patterns=[PATTERN,…] --csv-delimiter=CSV_DELIMITER --csv-disable-type-inference=CSV_DISABLE_TYPE_INFERENCE --csv-encoding=CSV_ENCODING --csv-header-row-count=CSV_HEADER_ROW_COUNT --csv-quote-character=CSV_QUOTE_CHARACTER --json-disable-type-inference=JSON_DISABLE_TYPE_INFERENCE --json-encoding=JSON_ENCODING] [--on-demand=ON_DEMAND     | --schedule=SCHEDULE] [GCLOUD_WIDE_FLAG …]

Datascan resource - Arguments and flags that define the Dataplex datascan you want to create a data discovery scan for. The arguments in this group can be used to specify the attributes of this resource. (NOTE) Some attributes are not given arguments in this group but can be set in other ways.

To set the project attribute:

• provide the argument datascan on the command line with a fully specified name;
• provide the argument --project on the command line;
• set the property core/project.

This must be specified.

DATASCAN

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

To set the dataScans attribute:

• provide the argument datascan on the command line.

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

--location=LOCATION

The location of the Dataplex resource.

To set the location attribute:

• provide the argument datascan on the command line with a fully specified name;
• provide the argument --location on the command line;
• set the property dataplex/location.

--data-source-resource=DATA_SOURCE_RESOURCE

Fully-qualified service resource name of the cloud resource bucket that contains the data for the data discovery scan, of the form: //storage.googleapis.com/projects/{project_id_or_number}/buckets/{bucket_id}.

--description=DESCRIPTION

Description of the data discovery scan.

--display-name=DISPLAY_NAME

Display name of the data discovery scan.

--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, and numbers. Values must contain only hyphens (-), underscores (_), lowercase characters, and numbers.

At most one of --async | --validate-only can be specified.

At most one of these can be specified:

--async

Return immediately, without waiting for the operation in progress to complete.

--validate-only

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

Data spec for the data discovery scan.

BigQuery publishing config arguments for the data discovery scan.

--bigquery-publishing-connection=BIGQUERY_PUBLISHING_CONNECTION

BigQuery connection to use for auto discovering cloud resource bucket to BigLake tables in format projects/{project_id}/locations/{location_id}/connections/{connection_id}. Connection is required for BIGLAKE BigQuery publishing table type.

--bigquery-publishing-dataset-location=BIGQUERY_PUBLISHING_DATASET_LOCATION

The location of the BigQuery dataset to publish BigLake external or non-BigLake external tables to. If not specified, the dataset location will be set to the location of the data source resource. Refer to https://cloud.google.com/bigquery/docs/locations#supportedLocations for supported locations.

--bigquery-publishing-table-type=BIGQUERY_PUBLISHING_TABLE_TYPE

BigQuery table type to discover the cloud resource bucket. Can be either EXTERNAL or BIGLAKE. If not specified, the table type will be set to EXTERNAL. BIGQUERY_PUBLISHING_TABLE_TYPE must be one of:

BIGLAKE

Cloud Storage bucket is discovered to BigQuery BigLake tables.

EXTERNAL

Default value. Cloud Storage bucket is discovered to BigQuery External tables.

Storage config arguments for the data discovery scan.

--storage-exclude-patterns=[PATTERN,…]

List of patterns that identify the data to exclude during discovery. When both include and exclude patterns exist at the same time, exclude patterns are applied first.

--storage-include-patterns=[PATTERN,…]

List of patterns that identify the data to include during discovery when only a subset of the data should be considered.

CSV options arguments for the data discovery scan.

--csv-delimiter=CSV_DELIMITER

Delimiter used to separate values in the CSV file. If not specified, the delimiter will be set to comma (",").

--csv-disable-type-inference=CSV_DISABLE_TYPE_INFERENCE

Whether to disable the inference of data types for CSV data. If true, all columns are registered as strings.

--csv-encoding=CSV_ENCODING

Character encoding of the CSV file. If not specified, the encoding will be set to UTF-8.

--csv-header-row-count=CSV_HEADER_ROW_COUNT

The number of rows to interpret as header rows that should be skipped when reading data rows. The default value is 1.

--csv-quote-character=CSV_QUOTE_CHARACTER

The character used to quote column values. Accepts " (double quotation mark) or ' (single quotation mark). If unspecified, defaults to " (double quotation mark).

JSON options arguments for the data discovery scan.

--json-disable-type-inference=JSON_DISABLE_TYPE_INFERENCE

Whether to disable the inference of data types for JSON data. If true, all columns are registered as strings.

--json-encoding=JSON_ENCODING

Character encoding of the JSON file. If not specified, the encoding will be set to UTF-8.

Data discovery scan execution settings.

Data discovery scan scheduling and trigger settings.

At most one of these can be specified:

--on-demand=ON_DEMAND

If set, the scan runs one-time shortly after data discovery scan creation.

--schedule=SCHEDULE

Cron schedule (https://en.wikipedia.org/wiki/Cron) for running scans periodically. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, CRON_TZ=America/New_York 1 * * * * or TZ=America/New_York 1 * * * *. This field is required for RECURRING scans.

Run $ gcloud help for details.