This page shows you how to create Cloud Storage buckets. If not
otherwise specified in your request, buckets are created in the
US
multi-region with a default storage class of Standard storage
and have a seven-day soft delete retention duration.
Required roles
In order to get the required permissions for creating a Cloud Storage
bucket, ask your administrator to grant you the Storage Admin
(roles/storage.admin
) IAM role for the project.
This predefined role contains the permission required to create a bucket. To see the exact permissions that are required, expand the Required permissions section:
Required permissions
storage.buckets.create
storage.buckets.enableObjectRetention
(only required if enabling object retention configurations for the bucket)storage.buckets.list
(only required if creating a bucket using the Google Cloud console)resourcemanager.projects.get
(only required if creating a bucket using the Google Cloud console)
You might also be able to get these permissions with custom roles or other predefined roles. To see which roles are associated with which permissions, refer to IAM roles for Cloud Storage.
For instructions on granting roles for projects, see Manage access to projects.
Create a new bucket
If you are creating a bucket for the first time, see Discover object storage with the Google Cloud console or Discover object storage with the Google Cloud CLI tool.
To create buckets with specific settings or advanced configurations, complete the following steps:
Console
- In the Google Cloud console, go to the Cloud Storage Buckets page.
Click
Create.On the Create a bucket page, enter your bucket information. After each of the following steps, click Continue to proceed to the next step:
In the Get started section, do the following:
- Enter a globally unique name that meets the bucket name requirements.
To enable hierarchical namespace, click the expander arrow to expand the Optimize for file oriented and data-intensive workloads section, and then select Enable Hierarchical namespace on this bucket.
To add a bucket label, click the expander arrow to expand the Labels section, click add_box Add label, and specify a
key
and avalue
for your label.
In the Choose where to store your data section, do the following:
Select a Location type.
Use the location type's drop-down menu to select a Location where object data within your bucket will be permanently stored.
- If you select the dual-region location type, you can also choose to enable turbo replication by using the relevant checkbox.
To set up cross-bucket replication, expand the Set up cross-bucket replication section and follow the steps:
Set up cross-bucket replication
- Select the checkbox next to Add cross-bucket replication via Storage Transfer Service.
- In the Destination bucket menu, select a destination bucket.
In the Replication settings section, click Configure to configure settings for the replication job.
The Configure cross-bucket replication pane appears.
- To filter objects to replicate by object name prefix, enter a prefix with which you want to include or exclude objects, then click Add a prefix.
- To set a storage class for the replicated objects, select a storage class from the Storage class menu. If you skip this step, the replicated objects will use the destination bucket's storage class by default.
- Click Done.
In the Choose a storage class for your data section, either select a default storage class for the bucket, or select Autoclass for automatic storage class management of your bucket's data.
In the Choose how to control access to objects section, select whether or not your bucket enforces public access prevention, and select an access control model for your bucket's objects.
In the Choose how to protect object data section, do the following:
Select any of the options under Data protection that you want to set for your bucket.
To choose how your object data will be encrypted, click the Data encryption method.
expander arrow labeled Data encryption, and select a
Click Create.
To learn how to get detailed error information about failed Cloud Storage operations in the Google Cloud console, see Troubleshooting.
Command line
-
In the Google Cloud console, activate Cloud Shell.
At the bottom of the Google Cloud console, a Cloud Shell session starts and displays a command-line prompt. Cloud Shell is a shell environment with the Google Cloud CLI already installed and with values already set for your current project. It can take a few seconds for the session to initialize.
In your development environment, run the
gcloud storage buckets create
command:gcloud storage buckets create gs:https://BUCKET_NAME --location=BUCKET_LOCATION
Where:
BUCKET_NAME
is the name you want to give your bucket, subject to naming requirement. For example,my-bucket
.BUCKET_LOCATION
is the location of your bucket. For example,us-east1
.
If the request is successful, the command returns the following message:
Creating gs:https://BUCKET_NAME/...
Set the following flags to have greater control over the creation of your bucket:
--project
: Specify the project ID or project number with which your bucket will be associated. For example,my-project
.--default-storage-class
: Specify the default storage class of your bucket. For example,STANDARD
.--uniform-bucket-level-access
: Enable uniform bucket-level access for your bucket.
For example:
gcloud storage buckets create gs:https://BUCKET_NAME --project=PROJECT_ID --default-storage-class=STORAGE_CLASS --location=BUCKET_LOCATION --uniform-bucket-level-access
For a complete list of options for bucket creation use the gcloud CLI, see
buckets create
options.
Client libraries
For more information, see the
Cloud Storage C++ API
reference documentation.
To authenticate to Cloud Storage, set up Application Default Credentials.
For more information, see
Set up authentication for client libraries.
For more information, see the
Cloud Storage C# API
reference documentation.
To authenticate to Cloud Storage, set up Application Default Credentials.
For more information, see
Set up authentication for client libraries.
For more information, see the
Cloud Storage Go API
reference documentation.
To authenticate to Cloud Storage, set up Application Default Credentials.
For more information, see
Set up authentication for client libraries.
For more information, see the
Cloud Storage Java API
reference documentation.
To authenticate to Cloud Storage, set up Application Default Credentials.
For more information, see
Set up authentication for client libraries.
For more information, see the
Cloud Storage Node.js API
reference documentation.
To authenticate to Cloud Storage, set up Application Default Credentials.
For more information, see
Set up authentication for client libraries.
For more information, see the
Cloud Storage PHP API
reference documentation.
To authenticate to Cloud Storage, set up Application Default Credentials.
For more information, see
Set up authentication for client libraries.
For more information, see the
Cloud Storage Python API
reference documentation.
To authenticate to Cloud Storage, set up Application Default Credentials.
For more information, see
Set up authentication for client libraries.
For more information, see the
Cloud Storage Ruby API
reference documentation.
To authenticate to Cloud Storage, set up Application Default Credentials.
For more information, see
Set up authentication for client libraries.
C++
C#
Go
Java
Node.js
PHP
Python
Ruby
Terraform
You can use a Terraform resource to create a storage bucket.
REST APIs
JSON API
Have gcloud CLI installed and initialized, which lets you generate an access token for the
Authorization
header.Create a JSON file that contains the settings for the bucket, which must include a
name
for the bucket. See the Buckets:Insert documentation for a complete list of settings. The following are common settings to include:{ "name": "BUCKET_NAME", "location": "BUCKET_LOCATION", "storageClass": "STORAGE_CLASS", "iamConfiguration": { "uniformBucketLevelAccess": { "enabled": true }, } }
Where:
BUCKET_NAME
is the name you want to give your bucket, subject to naming requirements. For example,my-bucket
.BUCKET_LOCATION
is the location where you want to store your bucket's object data. For example,US-EAST1
.STORAGE_CLASS
is the default storage class of your bucket. For example,STANDARD
.
Use
cURL
to call the JSON API:curl -X POST --data-binary @JSON_FILE_NAME \ -H "Authorization: Bearer $(gcloud auth print-access-token)" \ -H "Content-Type: application/json" \ "https://storage.googleapis.com/storage/v1/b?project=PROJECT_IDENTIFIER"
Where:
JSON_FILE_NAME
is name of the JSON file you created in Step 2.PROJECT_IDENTIFIER
is the ID or number of the project with which your bucket will be associated. For example,my-project
.
XML API
Have gcloud CLI installed and initialized, which lets you generate an access token for the
Authorization
header.Create an XML file that contains settings for the bucket. See the XML: Create a bucket documentation for a complete list of settings. The following are common settings to include:
<CreateBucketConfiguration> <StorageClass>STORAGE_CLASS</StorageClass> <LocationConstraint>BUCKET_LOCATION</LocationConstraint> </CreateBucketConfiguration>
Where:
STORAGE_CLASS
is the default storage class of your bucket. For example,STANDARD
.BUCKET_LOCATION
is the location where you want to store your bucket's object data. For example,US-EAST1
.
-
curl -X PUT --data-binary @XML_FILE_NAME \ -H "Authorization: Bearer $(gcloud auth print-access-token)" \ -H "x-goog-project-id: PROJECT_ID" \ "https://storage.googleapis.com/BUCKET_NAME"
Where:
XML_FILE_NAME
is name of the XML file you created in Step 2.PROJECT_ID
is the ID of the project with which your bucket will be associated. For example,my-project
.BUCKET_NAME
is the name you want to give your bucket, subject to naming requirements. For example,my-bucket
.
If the request was successful, a response is not returned.
What's next
- List buckets in a project.
- Learn about the metadata associated with a bucket.
- Move or rename a bucket.
- Delete a bucket.
- Upload an object to your bucket.
- Create and configure buckets declaratively with the Kubernetes Config Connector, which lets you describe Google Cloud resources using Kubernetes tooling, APIs, and configurations. For more information, see the Config Connector API documentation.
Try it for yourself
If you're new to Google Cloud, create an account to evaluate how Cloud Storage performs in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
Try Cloud Storage free