HEX
Server: Apache/2.4.68 (Debian)
System: Linux as-cs-widget-demo-us-central1 6.1.0-44-cloud-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.164-1 (2026-03-09) x86_64
User: root (0)
PHP: 8.2.32
Disabled: NONE
Upload Files
File: //lib/google-cloud-sdk/lib/surface/bq/tables/insert.yaml
# Copyright 2018 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
- release_tracks: [ALPHA]
  help_text:
    brief:   Insert records specified into an existing table.
    description: |-
        Insert records specified into an existing table.
    examples: |
      The following command inserts rows from `data_file.json` into `my-table` in `my-dataset`:

        $ {command} --table /projects/myproject/datasets/my-dataset/tables/my-table --data data_file.json
  request:
    collection: bigquery.tabledata
    method: insertAll

  arguments:
    resource:
      help_text: The BigQuery table you want to insert data into.
      override_resource_collection: true
      spec: !REF googlecloudsdk.command_lib.bq.resources:table

    params:
    - arg_name: data
      api_field: tableDataInsertAllRequest.rows
      required: true
      repeated: false
      type: "googlecloudsdk.calliope.arg_parsers:FileContents:"
      processor: googlecloudsdk.command_lib.bq.hooks:BqTableDataFileProcessor
      help_text: |-
        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},
          ]