- NAME
-
- gcloud dataplex datascans create data-quality - create a Dataplex data quality scan job
- SYNOPSIS
-
-
gcloud dataplex datascans create data-quality
(DATASCAN
:--location
=LOCATION
)--data-quality-spec-file
=DATA_QUALITY_SPEC_FILE
(--data-source-entity
=DATA_SOURCE_ENTITY
|--data-source-resource
=DATA_SOURCE_RESOURCE
) [--description
=DESCRIPTION
] [--display-name
=DISPLAY_NAME
] [--labels
=[KEY
=VALUE
,…]] [--async
|--validate-only
] [--incremental-field
=INCREMENTAL_FIELD
--on-demand
=ON_DEMAND
|--schedule
=SCHEDULE
] [GCLOUD_WIDE_FLAG …
]
-
- DESCRIPTION
- Represents a user-visible job which provides the insights for the related data source and generates queries based on the rules and runs against the data to get data quality check results.
- EXAMPLES
-
To create a data quality scan
data-quality-datascan
in projecttest-project
located inus-central1
on bigquery resource tabletest-table
in datasettest-dataset
with data spec filedata-quality-spec.json
, run:gcloud dataplex datascans create data-quality data-quality-datascan --project=test-project --location=us-central1 --data-source-resource="//bigquery.googleapis.com/projects/test-project/datasets/test-dataset/tables/test-table" --data-quality-spec-file="data-quality-spec.json"
- POSITIONAL ARGUMENTS
-
-
Datascan resource - Arguments and flags that define the Dataplex datascan you
want to create a data quality 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.
-
provide the argument
--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
.
-
provide the argument
-
provide the argument
-
Datascan resource - Arguments and flags that define the Dataplex datascan you
want to create a data quality 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.
- REQUIRED FLAGS
-
--data-quality-spec-file
=DATA_QUALITY_SPEC_FILE
- path to the JSON/YAML file containing the spec for the data quality scan. The json representation reference: https://cloud.google.com/dataplex/docs/reference/rest/v1/DataQualitySpec
-
Data source for the data quality scan.
Exactly one of these must be specified:
--data-source-entity
=DATA_SOURCE_ENTITY
-
Dataplex entity that contains the data for the data quality scan, of the form:
projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}
. --data-source-resource
=DATA_SOURCE_RESOURCE
-
Fully-qualified service resource name of the cloud resource that contains the
data for the data quality scan, of the form:
//bigquery.googleapis.com/projects/{project_number}/datasets/{dataset_id}/tables/{table_id}
.
- OPTIONAL FLAGS
-
--description
=DESCRIPTION
- Description of the data quality scan.
--display-name
=DISPLAY_NAME
- Display name of the data quality 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 quality scan execution settings.
--incremental-field
=INCREMENTAL_FIELD
- Field that contains values that monotonically increase over time (e.g. timestamp).
-
Data quality 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 quality 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 * * * *
orTZ=America/New_York 1 * * * *
. This field is required for RECURRING scans.
- GCLOUD WIDE FLAGS
-
These flags are available to all commands:
--access-token-file
,--account
,--billing-project
,--configuration
,--flags-file
,--flatten
,--format
,--help
,--impersonate-service-account
,--log-http
,--project
,--quiet
,--trace-token
,--user-output-enabled
,--verbosity
.Run
$ gcloud help
for details. - NOTES
-
This variant is also available:
gcloud alpha dataplex datascans create data-quality
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-02-06 UTC.
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