Create an EMR Studio
You can create an EMR Studio for your team using the Amazon EMR console or the AWS CLI.
Creating a Studio instance is part of setting up Amazon EMR Studio.
We’ve redesigned the Amazon EMR console to make it easier to use. See What's new with the console? to learn about the differences between the old and new console experiences.
Prerequisites
Before you create a Studio, make sure you've completed the previous tasks in
Set up an Amazon EMR Studio.
To create a Studio using the AWS CLI, you should have the latest version
installed. For more information, see Installing or updating the
latest version of the AWS CLI.
Deactivate proxy management tools such as FoxyProxy or SwitchyOmega in the browser
before you create a Studio. Active proxies can result in a Network Failure
error message when you choose Create Studio.
- New console
-
To create an EMR Studio with the new console
-
Open the Amazon EMR console at https://console.aws.amazon.com/emr/.
-
Under EMR Studio on the left navigation, choose
Getting started. You can also create a new Studio
from the Studios page.
-
Choose Create Studio to open the
Create a Studio page.
-
Enter a Studio name and an optional
Description.
-
If you use IAM authentication for the Studio, you can choose
Add new tag to add one or more key-value tags of your
choice to the Studio. You use tags to give specified users access to the
Studio. For more information, see Assign a user or group to an EMR
Studio.
You can also add tags to help you manage, identify, organize, and filter
Studios. For more information, see Tagging AWS
resources.
-
Under Networking, choose an Amazon Virtual Private Cloud
(VPC) for the Studio from the dropdown
list.
-
Under Subnets, select a maximum of five subnets in your
VPC to associate with the Studio. You have the option to add more
subnets after you create the Studio.
-
For Security groups, choose either the default security
groups or custom security groups. For more information, see Define security groups to control
EMR Studio network traffic.
| If you choose... |
Do this... |
| The default EMR Studio security groups |
To enable Git-based repository linking for the Studio,
choose Enable clusters/endpoints and Git
repository. Otherwise choose Enable
clusters/endpoints.
|
| Custom security groups for your Studio |
-
Under Cluster/endpoint security group,
select the engine security group that you configured from the
dropdown list. Your Studio uses this security group to
allow inbound access from attached Workspaces.
-
Under Workspace security group,
select the Workspace security group that you configured
from the dropdown list. Your Studio uses this security
group with Workspaces to provide outbound access to
attached Amazon EMR clusters and publicly hosted Git
repositories.
|
-
Under Authentication, choose an authentication mode for
the Studio and provide information according to the following table. To
learn more about authentication for EMR Studio, see Choose an authentication mode for
Amazon EMR Studio.
-
Under Workspace storage, choose Browse
S3 to select your Amazon S3 bucket for backing up
Workspaces and notebook files.
Your EMR Studio service role must have read and write access to the
bucket that you select.
-
Choose Create Studio to finish and navigate to
the Studios page. Your new Studio appears
in the list with details such as Studio name,
Creation date, and Studio access
URL.
After you create a Studio, follow the instructions in Assign a user or group to an EMR
Studio.
- Old console
-
To create an EMR Studio with the old console
-
Open the Amazon EMR console at https://console.aws.amazon.com/elasticmapreduce/home.
-
Choose EMR Studio from the left navigation.
-
Choose Create Studio to open the
Create a Studio page.
-
Enter a Studio name and an optional
Description.
-
If you use IAM authentication for the Studio, you can choose
Add new tag to add one or more key-value tags of your
choice to the Studio. You use tags to give specified users access to the
Studio. For more information, see Assign a user or group to an EMR
Studio.
You can also add tags to help you manage, identify, organize, and filter
Studios. For more information, see Tagging AWS
resources.
-
Under Networking, choose an Amazon Virtual Private Cloud
(VPC) for the Studio from the dropdown
list.
-
Under Subnets, select a maximum of five subnets in your
VPC to associate with the Studio. You have the option to add more
subnets after you create the Studio.
-
For Security groups, choose either the default security
groups or custom security groups. For more information, see Define security groups to control
EMR Studio network traffic.
| If you choose... |
Do this... |
| The default EMR Studio security groups |
To enable Git-based repository linking for the Studio,
choose Enable clusters/endpoints and Git
repository. Otherwise choose Enable
clusters/endpoints.
|
| Custom security groups for your Studio |
-
Under Cluster/endpoint security group,
select the engine security group that you configured from the
dropdown list. Your Studio uses this security group to
allow inbound access from attached Workspaces.
-
Under Workspace security group,
select the Workspace security group that you configured
from the dropdown list. Your Studio uses this security
group with Workspaces to provide outbound access to
attached Amazon EMR clusters and publicly hosted Git
repositories.
|
-
Under Authentication, choose an authentication mode for
the Studio and provide information according to the following table. To
learn more about authentication for EMR Studio, see Choose an authentication mode for
Amazon EMR Studio.
-
Under Workspace storage, choose Browse
S3 to select your Amazon S3 bucket for backing up
Workspaces and notebook files.
Your EMR Studio service role must have read and write access to the
bucket that you select.
-
Choose Create Studio to finish and navigate to
the Studios page. Your new Studio appears
in the list with details such as Studio name,
Creation date, and Studio access
URL.
After you create a Studio, follow the instructions in Assign a user or group to an EMR
Studio.
- CLI
Linux line continuation characters (\) are included for readability. They can be removed or used in Linux commands. For Windows, remove them or replace with a caret (^).
Example CLI command to create an EMR Studio with IAM authentication
mode
The following example AWS CLI command creates an EMR Studio with IAM
authentication mode. When you use IAM authentication or federation for the
Studio, you don't specify a --user-role.
To let federated users log in using the Studio URL and credentials for
your identity provider (IdP), specify your --idp-auth-url and
--idp-relay-state-parameter-name. For a list of IdP
authentication URLs and RelayState names, see Identity provider RelayState parameters
and authentication URLs.
aws emr create-studio \
--name <example-studio-name> \
--auth-mode IAM \
--vpc-id <example-vpc-id> \
--subnet-ids <subnet-id-1> <subnet-id-2>... <subnet-id-5> \
--service-role <example-studio-service-role-name> \
--workspace-security-group-id <example-workspace-sg-id> \
--engine-security-group-id <example-engine-sg-id> \
--default-s3-location <example-s3-location> \
--idp-auth-url <https://EXAMPLE/login/> \
--idp-relay-state-parameter-name <example-RelayState>
Example CLI command to create an EMR Studio with IAM Identity Center authentication
mode
The following AWS CLI example command creates an EMR Studio that uses IAM Identity Center
authentication mode. When you use IAM Identity Center authentication, you must specify a
--user-role.
For more information about IAM Identity Center authentication mode, see Set up IAM Identity Center authentication mode for
Amazon EMR Studio.
aws emr create-studio \
--name <example-studio-name> \
--auth-mode SSO \
--vpc-id <example-vpc-id> \
--subnet-ids <subnet-id-1> <subnet-id-2>... <subnet-id-5> \
--service-role <example-studio-service-role-name> \
--user-role <example-studio-user-role-name> \
--workspace-security-group-id <example-workspace-sg-id> \
--engine-security-group-id <example-engine-sg-id> \
--default-s3-location <example-s3-location>
Example CLI output for aws emr create-studio
The following is an example of the output that appears after you create a
Studio.
{
StudioId: "es-123XXXXXXXXX",
Url: "https://es-123XXXXXXXXX.emrstudio-prod.us-east-1.amazonaws.com"
}
For more information about the create-studio command, see AWS CLI Command Reference.
Identity provider RelayState parameters
and authentication URLs
When you use IAM federation, and you want users to log in using your
Studio URL and credentials for your identity provider (IdP), you can specify
your Identity provider (IdP) login URL and
RelayState parameter name when you Create an EMR Studio.
The following table shows the standard authentication URL and RelayState parameter
name for some popular identity providers.
| Identity provider |
Parameter |
Authentication URL |
| Auth0 |
RelayState |
https://<sub_domain>.auth0.com/samlp/<app_id> |
| Google accounts |
RelayState |
https://accounts.google.com/o/saml2/initsso?idpid=<idp_id>&spid=<sp_id>&forceauthn=false |
| Microsoft Azure |
RelayState |
https://myapps.microsoft.com/signin/<app_name>/<app_id>?tenantId=<tenant_id> |
| Okta |
RelayState |
https://<sub_domain>.okta.com/app/<app_name>/<app_id>/sso/saml |
| PingFederate |
TargetResource |
https://<host>/idp/<idp_id>/startSSO.ping?PartnerSpId=<sp_id> |
| PingOne |
TargetResource |
https://sso.connect.pingidentity.com/sso/sp/initsso?saasid=<app_id>&idpid=<idp_id> |
