NAME

gcloud alpha bq tables show-rows - display selected rows in a specified table or view

SYNOPSIS

gcloud alpha bq tables show-rows (--table=TABLE : --dataset=DATASET) [--limit=LIMIT; default=100] [--start=START] [GCLOUD_WIDE_FLAG ...]

DESCRIPTION

(ALPHA) Display selected rows in a specified table or view.

EXAMPLES

The following command displays 150 rows of my-table in my-dataset starting from row 10:

$ gcloud alpha bq tables show-rows \ --table \ /projects/myproject/datasets/my-dataset/tables/my-table \ --limit 150 --start 10

REQUIRED FLAGS

Table resource - The BigQuery table you want to fetch rows from. 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=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 flag 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.

OPTIONAL FLAGS

--limit=LIMIT; default=100

How many rows to return in the result.

--start=START

First row to return in the result.

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.

API REFERENCE

This command uses the bigquery/v2 API. The full documentation for this API can be found at: https://cloud.google.com/bigquery/

NOTES

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.