gcloud alpha bq tables insert - insert records specified into an existing table
gcloud alpha bq tables insert (TABLE : --dataset=DATASET) --data=DATA [GCLOUD_WIDE_FLAG ...]
(ALPHA) Insert records specified into an existing table.
The following command inserts rows from data_file.json into my-table in my-dataset:
$ gcloud alpha bq tables insert \ --table \ /projects/myproject/datasets/my-dataset/tables/my-table \ --data data_file.json
- Table resource - The BigQuery table you want to insert data into. 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.
- --data=DATA
The file containing the newline-delimited array of JSON objects representing rows to insert.
- —
For example: [ {"string_col": "value1", "bool_col": false}, {"string_col": "value2", "bool_col": true}, {"string_col": "value3", "bool_col": false}, {"string_col": "value4", "bool_col": true}, {"string_col": "value5", "bool_col": false}, ]
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.