gcloud alpha bq tables create - create a new BigQuery table
gcloud alpha bq tables create (TABLE : --dataset=DATASET) [--description=DESCRIPTION] [--expiration=EXPIRATION] [--overwrite] [--schema=FIELD_NAME=FIELD_TYPE | --schema-file=SCHEMA_FILE | [--view=VIEW : --use-legacy-sql]] [GCLOUD_WIDE_FLAG ...]
(ALPHA) Create a new BigQuery table. Create a table or view with a specified name. A view is a collection of rows selected by a query in a flag, and manipulated as a table. The dataset to contain the table or view must already exist, and must not contain a table or view with the specified name.
The following command creates a table with ID my-table in my-dataset:
$ gcloud alpha bq tables create \ /projects/myproject/datasets/my-dataset/tables/my-table \ --description 'My New Table'
The following command creates a view with ID my-view in dataset my-other-dataset:
$ gcloud alpha bq tables create my-view --dataset my-other-dataset \ --view \ 'SELECT field1, field3 FROM `my-project.my-other-dataset.my-table`'
- Table resource - The BigQuery table you want to create. 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 table 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.
- TABLE
ID of the table or fully qualified identifier for the table. To set the table attribute:
provide the argument table on the command line.
This positional argument must be specified if any of the other arguments in this group are specified.
- --dataset=DATASET
The id of the BigQuery dataset. To set the dataset attribute:
provide the argument table on the command line with a fully specified name;
provide the argument --dataset on the command line.
- --description=DESCRIPTION
Description of the table.
- --expiration=EXPIRATION
How long after creation should this table or view expire e.g. 1d, 2w etc.
See $ gcloud topic datetimes for information on duration formats
- --overwrite
Overwrite if the resource already exists.
- Specify the table schema.
At most one of these can be specified:
- --schema=FIELD_NAME=FIELD_TYPE
A comma-separated list of entries of the form FIELD_NAME[=FIELD_TYPE] specifying field names and types for the table being created. FIELD_TYPE defaults to string if not present. Possible FIELD_TYPES are string, integer, float, boolean, record, and timestamp.
For more details on BigQuery schemas see: https://cloud.google.com/bigquery/docs/schemas.
- --schema-file=SCHEMA_FILE
The name of a JSON file containing a single object containing an array each element of which is an object with properties name, type, and, optionally a mode (one of: NULLABLE, REQUIRED or REPEATED), specifying a schema for the table being created. If mode is omitted the default is 'NULLABLE'.
For example: { 'schema': [ { 'name': 'field1', 'type': 'string', 'mode': 'REQUIRED' }, { 'name': 'field2', 'type': 'integer', 'mode': 'REPEATED' }, [ { 'name': 'fieldN', 'type': TYPE, ['mode': MODE] } ... ] ] }
For more details on BigQuery schemas see: https://cloud.google.com/bigquery/docs/schemas.
- Create a view instead of regular table.
- --view=VIEW
Create a view with this SQL query. (If this flag is not specified, a table is created.)
This flag argument must be specified if any of the other arguments in this group are specified.
- --use-legacy-sql
If specified, query will use BigQuery's legacy SQL syntax. If not specified, query will use BigQuery's standard SQL dialect by default https://cloud.google.com/bigquery/sql-reference/.
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.
This command uses the bigquery/v2 API. The full documentation for this API can be found at: https://cloud.google.com/bigquery/
This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist.