class CfnNotebookInstance (construct)
Language | Type name |
---|---|
![]() | Amazon.CDK.AWS.Sagemaker.CfnNotebookInstance |
![]() | software.amazon.awscdk.services.sagemaker.CfnNotebookInstance |
![]() | aws_cdk.aws_sagemaker.CfnNotebookInstance |
![]() | @aws-cdk/aws-sagemaker » CfnNotebookInstance |
Implements
IConstruct
, IConstruct
, IDependable
, IInspectable
A CloudFormation AWS::SageMaker::NotebookInstance
.
The AWS::SageMaker::NotebookInstance
resource creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook. For more information, see Use Notebook Instances .
Example
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import * as sagemaker from '@aws-cdk/aws-sagemaker';
const cfnNotebookInstance = new sagemaker.CfnNotebookInstance(this, 'MyCfnNotebookInstance', {
instanceType: 'instanceType',
roleArn: 'roleArn',
// the properties below are optional
acceleratorTypes: ['acceleratorTypes'],
additionalCodeRepositories: ['additionalCodeRepositories'],
defaultCodeRepository: 'defaultCodeRepository',
directInternetAccess: 'directInternetAccess',
instanceMetadataServiceConfiguration: {
minimumInstanceMetadataServiceVersion: 'minimumInstanceMetadataServiceVersion',
},
kmsKeyId: 'kmsKeyId',
lifecycleConfigName: 'lifecycleConfigName',
notebookInstanceName: 'notebookInstanceName',
platformIdentifier: 'platformIdentifier',
rootAccess: 'rootAccess',
securityGroupIds: ['securityGroupIds'],
subnetId: 'subnetId',
tags: [{
key: 'key',
value: 'value',
}],
volumeSizeInGb: 123,
});
Initializer
new CfnNotebookInstance(scope: Construct, id: string, props: CfnNotebookInstanceProps)
Parameters
- scope
Construct
— - scope in which this resource is defined. - id
string
— - scoped id of the resource. - props
Cfn
— - resource properties.Notebook Instance Props
Create a new AWS::SageMaker::NotebookInstance
.
Construct Props
Name | Type | Description |
---|---|---|
instance | string | The type of ML compute instance to launch for the notebook instance. |
role | string | When you send any requests to AWS resources from the notebook instance, SageMaker assumes this role to perform tasks on your behalf. |
accelerator | string[] | A list of Amazon Elastic Inference (EI) instance types to associate with the notebook instance. |
additional | string[] | An array of up to three Git repositories associated with the notebook instance. |
default | string | The Git repository associated with the notebook instance as its default code repository. |
direct | string | Sets whether SageMaker provides internet access to the notebook instance. |
instance | IResolvable | Instance | Information on the IMDS configuration of the notebook instance. |
kms | string | The Amazon Resource Name (ARN) of a AWS Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to your notebook instance. |
lifecycle | string | The name of a lifecycle configuration to associate with the notebook instance. |
notebook | string | The name of the new notebook instance. |
platform | string | The platform identifier of the notebook instance runtime environment. |
root | string | Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled . |
security | string[] | The VPC security group IDs, in the form sg-xxxxxxxx. |
subnet | string | The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance. |
tags? | Cfn [] | A list of key-value pairs to apply to this resource. |
volume | number | The size, in GB, of the ML storage volume to attach to the notebook instance. |
instanceType
Type:
string
The type of ML compute instance to launch for the notebook instance.
Expect some interruption of service if this parameter is changed as CloudFormation stops a notebook instance and starts it up again to update it.
roleArn
Type:
string
When you send any requests to AWS resources from the notebook instance, SageMaker assumes this role to perform tasks on your behalf.
You must grant this role necessary permissions so SageMaker can perform these tasks. The policy must allow the SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see SageMaker Roles .
To be able to pass this role to SageMaker, the caller of this API must have the
iam:PassRole
permission.
acceleratorTypes?
Type:
string[]
(optional)
A list of Amazon Elastic Inference (EI) instance types to associate with the notebook instance.
Currently, only one instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker .
Valid Values: ml.eia1.medium | ml.eia1.large | ml.eia1.xlarge | ml.eia2.medium | ml.eia2.large | ml.eia2.xlarge
.
additionalCodeRepositories?
Type:
string[]
(optional)
An array of up to three Git repositories associated with the notebook instance.
These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker Notebook Instances .
defaultCodeRepository?
Type:
string
(optional)
The Git repository associated with the notebook instance as its default code repository.
This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker Notebook Instances .
directInternetAccess?
Type:
string
(optional)
Sets whether SageMaker provides internet access to the notebook instance.
If you set this to Disabled
this notebook instance is able to access resources only in your VPC, and is not be able to connect to SageMaker training and endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default . You can set the value of this parameter to Disabled
only if you set a value for the SubnetId
parameter.
instanceMetadataServiceConfiguration?
Type:
IResolvable
|
Instance
(optional)
Information on the IMDS configuration of the notebook instance.
kmsKeyId?
Type:
string
(optional)
The Amazon Resource Name (ARN) of a AWS Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to your notebook instance.
The KMS key you provide must be enabled. For information, see Enabling and Disabling Keys in the AWS Key Management Service Developer Guide .
lifecycleConfigName?
Type:
string
(optional)
The name of a lifecycle configuration to associate with the notebook instance.
For information about lifecycle configurations, see Customize a Notebook Instance in the Amazon SageMaker Developer Guide .
notebookInstanceName?
Type:
string
(optional)
The name of the new notebook instance.
platformIdentifier?
Type:
string
(optional)
The platform identifier of the notebook instance runtime environment.
rootAccess?
Type:
string
(optional)
Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled
.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
securityGroupIds?
Type:
string[]
(optional)
The VPC security group IDs, in the form sg-xxxxxxxx.
The security groups must be for the same VPC as specified in the subnet.
subnetId?
Type:
string
(optional)
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
tags?
Type:
Cfn
[]
(optional)
A list of key-value pairs to apply to this resource.
For more information, see Resource Tag and Using Cost Allocation Tags .
You can add tags later by using the CreateTags
API.
volumeSizeInGb?
Type:
number
(optional)
The size, in GB, of the ML storage volume to attach to the notebook instance.
The default value is 5 GB.
Expect some interruption of service if this parameter is changed as CloudFormation stops a notebook instance and starts it up again to update it.
Properties
Name | Type | Description |
---|---|---|
attr | string | The name of the notebook instance, such as MyNotebookInstance . |
cfn | ICfn | Options for this resource, such as condition, update policy etc. |
cfn | { [string]: any } | |
cfn | string | AWS resource type. |
creation | string[] | |
instance | string | The type of ML compute instance to launch for the notebook instance. |
logical | string | The logical ID for this CloudFormation stack element. |
node | Construct | The construct tree node associated with this construct. |
ref | string | Return a string that will be resolved to a CloudFormation { Ref } for this element. |
role | string | When you send any requests to AWS resources from the notebook instance, SageMaker assumes this role to perform tasks on your behalf. |
stack | Stack | The stack in which this element is defined. |
tags | Tag | A list of key-value pairs to apply to this resource. |
accelerator | string[] | A list of Amazon Elastic Inference (EI) instance types to associate with the notebook instance. |
additional | string[] | An array of up to three Git repositories associated with the notebook instance. |
default | string | The Git repository associated with the notebook instance as its default code repository. |
direct | string | Sets whether SageMaker provides internet access to the notebook instance. |
instance | IResolvable | Instance | Information on the IMDS configuration of the notebook instance. |
kms | string | The Amazon Resource Name (ARN) of a AWS Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to your notebook instance. |
lifecycle | string | The name of a lifecycle configuration to associate with the notebook instance. |
notebook | string | The name of the new notebook instance. |
platform | string | The platform identifier of the notebook instance runtime environment. |
root | string | Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled . |
security | string[] | The VPC security group IDs, in the form sg-xxxxxxxx. |
subnet | string | The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance. |
volume | number | The size, in GB, of the ML storage volume to attach to the notebook instance. |
static CFN_RESOURCE_TYPE_NAME | string | The CloudFormation resource type name for this resource class. |
attrNotebookInstanceName
Type:
string
The name of the notebook instance, such as MyNotebookInstance
.
cfnOptions
Type:
ICfn
Options for this resource, such as condition, update policy etc.
cfnProperties
Type:
{ [string]: any }
cfnResourceType
Type:
string
AWS resource type.
creationStack
Type:
string[]
instanceType
Type:
string
The type of ML compute instance to launch for the notebook instance.
Expect some interruption of service if this parameter is changed as CloudFormation stops a notebook instance and starts it up again to update it.
logicalId
Type:
string
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use overrideLogicalId(newLogicalId)
.
node
Type:
Construct
The construct tree node associated with this construct.
ref
Type:
string
Return a string that will be resolved to a CloudFormation { Ref }
for this element.
If, by any chance, the intrinsic reference of a resource is not a string, you could
coerce it to an IResolvable through Lazy.any({ produce: resource.ref })
.
roleArn
Type:
string
When you send any requests to AWS resources from the notebook instance, SageMaker assumes this role to perform tasks on your behalf.
You must grant this role necessary permissions so SageMaker can perform these tasks. The policy must allow the SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see SageMaker Roles .
To be able to pass this role to SageMaker, the caller of this API must have the
iam:PassRole
permission.
stack
Type:
Stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
tags
Type:
Tag
A list of key-value pairs to apply to this resource.
For more information, see Resource Tag and Using Cost Allocation Tags .
You can add tags later by using the CreateTags
API.
acceleratorTypes?
Type:
string[]
(optional)
A list of Amazon Elastic Inference (EI) instance types to associate with the notebook instance.
Currently, only one instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker .
Valid Values: ml.eia1.medium | ml.eia1.large | ml.eia1.xlarge | ml.eia2.medium | ml.eia2.large | ml.eia2.xlarge
.
additionalCodeRepositories?
Type:
string[]
(optional)
An array of up to three Git repositories associated with the notebook instance.
These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker Notebook Instances .
defaultCodeRepository?
Type:
string
(optional)
The Git repository associated with the notebook instance as its default code repository.
This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker Notebook Instances .
directInternetAccess?
Type:
string
(optional)
Sets whether SageMaker provides internet access to the notebook instance.
If you set this to Disabled
this notebook instance is able to access resources only in your VPC, and is not be able to connect to SageMaker training and endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default . You can set the value of this parameter to Disabled
only if you set a value for the SubnetId
parameter.
instanceMetadataServiceConfiguration?
Type:
IResolvable
|
Instance
(optional)
Information on the IMDS configuration of the notebook instance.
kmsKeyId?
Type:
string
(optional)
The Amazon Resource Name (ARN) of a AWS Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to your notebook instance.
The KMS key you provide must be enabled. For information, see Enabling and Disabling Keys in the AWS Key Management Service Developer Guide .
lifecycleConfigName?
Type:
string
(optional)
The name of a lifecycle configuration to associate with the notebook instance.
For information about lifecycle configurations, see Customize a Notebook Instance in the Amazon SageMaker Developer Guide .
notebookInstanceName?
Type:
string
(optional)
The name of the new notebook instance.
platformIdentifier?
Type:
string
(optional)
The platform identifier of the notebook instance runtime environment.
rootAccess?
Type:
string
(optional)
Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled
.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
securityGroupIds?
Type:
string[]
(optional)
The VPC security group IDs, in the form sg-xxxxxxxx.
The security groups must be for the same VPC as specified in the subnet.
subnetId?
Type:
string
(optional)
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
volumeSizeInGb?
Type:
number
(optional)
The size, in GB, of the ML storage volume to attach to the notebook instance.
The default value is 5 GB.
Expect some interruption of service if this parameter is changed as CloudFormation stops a notebook instance and starts it up again to update it.
static CFN_RESOURCE_TYPE_NAME
Type:
string
The CloudFormation resource type name for this resource class.
Methods
Name | Description |
---|---|
add | Syntactic sugar for addOverride(path, undefined) . |
add | Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned. |
add | Add a value to the CloudFormation Resource Metadata. |
add | Adds an override to the synthesized CloudFormation resource. |
add | Adds an override that deletes the value of a property from the resource definition. |
add | Adds an override to a resource property. |
apply | Sets the deletion policy of the resource based on the removal policy specified. |
get | Returns a token for an runtime attribute of this resource. |
get | Retrieve a value value from the CloudFormation Resource Metadata. |
inspect(inspector) | Examines the CloudFormation resource and discloses attributes. |
override | Overrides the auto-generated logical ID with a specific ID. |
to | Returns a string representation of this construct. |
protected render |
addDeletionOverride(path)
public addDeletionOverride(path: string): void
Parameters
- path
string
— The path of the value to delete.
Syntactic sugar for addOverride(path, undefined)
.
addDependsOn(target)
public addDependsOn(target: CfnResource): void
Parameters
- target
Cfn
Resource
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
addMetadata(key, value)
public addMetadata(key: string, value: any): void
Parameters
- key
string
- value
any
Add a value to the CloudFormation Resource Metadata.
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.)
addOverride(path, value)
public addOverride(path: string, value: any): void
Parameters
- path
string
— - The path of the property, you can use dot notation to override values in complex types. - value
any
— - The value.
Adds an override to the synthesized CloudFormation resource.
To add a
property override, either use addPropertyOverride
or prefix path
with
"Properties." (i.e. Properties.TopicName
).
If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal .
in the property name, prefix with a \
. In most
programming languages you will need to write this as "\\."
because the
\
itself will need to be escaped.
For example,
cfnResource.addOverride('Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes', ['myattribute']);
cfnResource.addOverride('Properties.GlobalSecondaryIndexes.1.ProjectionType', 'INCLUDE');
would add the overrides
"Properties": {
"GlobalSecondaryIndexes": [
{
"Projection": {
"NonKeyAttributes": [ "myattribute" ]
...
}
...
},
{
"ProjectionType": "INCLUDE"
...
},
]
...
}
The value
argument to addOverride
will not be processed or translated
in any way. Pass raw JSON values in here with the correct capitalization
for CloudFormation. If you pass CDK classes or structs, they will be
rendered with lowercased key names, and CloudFormation will reject the
template.
addPropertyDeletionOverride(propertyPath)
public addPropertyDeletionOverride(propertyPath: string): void
Parameters
- propertyPath
string
— The path to the property.
Adds an override that deletes the value of a property from the resource definition.
addPropertyOverride(propertyPath, value)
public addPropertyOverride(propertyPath: string, value: any): void
Parameters
- propertyPath
string
— The path of the property. - value
any
— The value.
Adds an override to a resource property.
Syntactic sugar for addOverride("Properties.<...>", value)
.
applyRemovalPolicy(policy?, options?)
public applyRemovalPolicy(policy?: RemovalPolicy, options?: RemovalPolicyOptions): void
Parameters
- policy
Removal
Policy - options
Removal
Policy Options
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you've removed it from the CDK application or because you've made a change that requires the resource to be replaced.
The resource can be deleted (RemovalPolicy.DESTROY
), or left in your AWS
account for data recovery and cleanup later (RemovalPolicy.RETAIN
).
getAtt(attributeName)
public getAtt(attributeName: string): Reference
Parameters
- attributeName
string
— The name of the attribute.
Returns
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g. resource.arn
), but this can be used for future compatibility
in case there is no generated attribute.
getMetadata(key)
public getMetadata(key: string): any
Parameters
- key
string
Returns
any
Retrieve a value value from the CloudFormation Resource Metadata.
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.)
inspect(inspector)
public inspect(inspector: TreeInspector): void
Parameters
- inspector
Tree
— - tree inspector to collect and process attributes.Inspector
Examines the CloudFormation resource and discloses attributes.
overrideLogicalId(newLogicalId)
public overrideLogicalId(newLogicalId: string): void
Parameters
- newLogicalId
string
— The new logical ID to use for this stack element.
Overrides the auto-generated logical ID with a specific ID.
toString()
public toString(): string
Returns
string
Returns a string representation of this construct.
protected renderProperties(props)
protected renderProperties(props: { [string]: any }): { [string]: any }
Parameters
- props
{ [string]: any }
Returns
{ [string]: any }