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This document helps you understand the concept of workspaces in
BigQuery. You can use workspaces within
repositories to edit the code stored in the
repository. Repositories perform version control on files by using Git
to record changes and manage file versions.
On the BigQuery page, your workspaces are displayed in
alphabetical order under the repository they are associated with. Repositories
are displayed in the Repositories folder of the Explorer pane.
Supported file types
You can create or upload the following types of files to a repository:
As you create and modify files in a workspace, you can perform Git
actions like committing changes and pushing changes to the repository. For
more information, see
Use version control with a file.
Locations
Each workspace uses the same
location as the repository that
contains it.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-21 UTC."],[[["Workspaces in BigQuery allow users to edit code stored within repositories, which utilize Git for version control, tracking changes, and managing file versions."],["Workspaces, displayed alphabetically under their associated repository in the Explorer pane, support various file types, including SQL queries, Python notebooks, data canvases, data preparations, and other general files."],["Users can perform Git actions within workspaces, like committing and pushing changes, to manage file versions within the associated repository."],["Workspaces inherit the location settings from their parent repository, and Dataform quotas apply to the use of BigQuery workspaces."],["Creating, updating, deleting, or storing files in a workspace is free, as these actions do not incur a cost, with the standard BigQuery pricing being applicable otherwise."]]],[]]