class CfnFlow (construct)
Language | Type name |
---|---|
![]() | Amazon.CDK.AWS.AppFlow.CfnFlow |
![]() | software.amazon.awscdk.services.appflow.CfnFlow |
![]() | aws_cdk.aws_appflow.CfnFlow |
![]() | @aws-cdk/aws-appflow » CfnFlow |
Implements
IConstruct
, IConstruct
, IDependable
, IInspectable
A CloudFormation AWS::AppFlow::Flow
.
The AWS::AppFlow::Flow
resource is an Amazon AppFlow resource type that specifies a new flow.
If you want to use AWS CloudFormation to create a connector profile for connectors that implement OAuth (such as Salesforce, Slack, Zendesk, and Google Analytics), you must fetch the access and refresh tokens. You can do this by implementing your own UI for OAuth, or by retrieving the tokens from elsewhere. Alternatively, you can use the Amazon AppFlow console to create the connector profile, and then use that connector profile in the flow creation CloudFormation template.
Example
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import * as appflow from '@aws-cdk/aws-appflow';
const cfnFlow = new appflow.CfnFlow(this, 'MyCfnFlow', {
destinationFlowConfigList: [{
connectorType: 'connectorType',
destinationConnectorProperties: {
customConnector: {
entityName: 'entityName',
// the properties below are optional
customProperties: {
customPropertiesKey: 'customProperties',
},
errorHandlingConfig: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
failOnFirstError: false,
},
idFieldNames: ['idFieldNames'],
writeOperationType: 'writeOperationType',
},
eventBridge: {
object: 'object',
// the properties below are optional
errorHandlingConfig: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
failOnFirstError: false,
},
},
lookoutMetrics: {
object: 'object',
},
marketo: {
object: 'object',
// the properties below are optional
errorHandlingConfig: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
failOnFirstError: false,
},
},
redshift: {
intermediateBucketName: 'intermediateBucketName',
object: 'object',
// the properties below are optional
bucketPrefix: 'bucketPrefix',
errorHandlingConfig: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
failOnFirstError: false,
},
},
s3: {
bucketName: 'bucketName',
// the properties below are optional
bucketPrefix: 'bucketPrefix',
s3OutputFormatConfig: {
aggregationConfig: {
aggregationType: 'aggregationType',
targetFileSize: 123,
},
fileType: 'fileType',
prefixConfig: {
pathPrefixHierarchy: ['pathPrefixHierarchy'],
prefixFormat: 'prefixFormat',
prefixType: 'prefixType',
},
preserveSourceDataTyping: false,
},
},
salesforce: {
object: 'object',
// the properties below are optional
dataTransferApi: 'dataTransferApi',
errorHandlingConfig: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
failOnFirstError: false,
},
idFieldNames: ['idFieldNames'],
writeOperationType: 'writeOperationType',
},
sapoData: {
objectPath: 'objectPath',
// the properties below are optional
errorHandlingConfig: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
failOnFirstError: false,
},
idFieldNames: ['idFieldNames'],
successResponseHandlingConfig: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
},
writeOperationType: 'writeOperationType',
},
snowflake: {
intermediateBucketName: 'intermediateBucketName',
object: 'object',
// the properties below are optional
bucketPrefix: 'bucketPrefix',
errorHandlingConfig: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
failOnFirstError: false,
},
},
upsolver: {
bucketName: 'bucketName',
s3OutputFormatConfig: {
prefixConfig: {
pathPrefixHierarchy: ['pathPrefixHierarchy'],
prefixFormat: 'prefixFormat',
prefixType: 'prefixType',
},
// the properties below are optional
aggregationConfig: {
aggregationType: 'aggregationType',
targetFileSize: 123,
},
fileType: 'fileType',
},
// the properties below are optional
bucketPrefix: 'bucketPrefix',
},
zendesk: {
object: 'object',
// the properties below are optional
errorHandlingConfig: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
failOnFirstError: false,
},
idFieldNames: ['idFieldNames'],
writeOperationType: 'writeOperationType',
},
},
// the properties below are optional
apiVersion: 'apiVersion',
connectorProfileName: 'connectorProfileName',
}],
flowName: 'flowName',
sourceFlowConfig: {
connectorType: 'connectorType',
sourceConnectorProperties: {
amplitude: {
object: 'object',
},
customConnector: {
entityName: 'entityName',
// the properties below are optional
customProperties: {
customPropertiesKey: 'customProperties',
},
},
datadog: {
object: 'object',
},
dynatrace: {
object: 'object',
},
googleAnalytics: {
object: 'object',
},
inforNexus: {
object: 'object',
},
marketo: {
object: 'object',
},
pardot: {
object: 'object',
},
s3: {
bucketName: 'bucketName',
bucketPrefix: 'bucketPrefix',
// the properties below are optional
s3InputFormatConfig: {
s3InputFileType: 's3InputFileType',
},
},
salesforce: {
object: 'object',
// the properties below are optional
dataTransferApi: 'dataTransferApi',
enableDynamicFieldUpdate: false,
includeDeletedRecords: false,
},
sapoData: {
objectPath: 'objectPath',
},
serviceNow: {
object: 'object',
},
singular: {
object: 'object',
},
slack: {
object: 'object',
},
trendmicro: {
object: 'object',
},
veeva: {
object: 'object',
// the properties below are optional
documentType: 'documentType',
includeAllVersions: false,
includeRenditions: false,
includeSourceFiles: false,
},
zendesk: {
object: 'object',
},
},
// the properties below are optional
apiVersion: 'apiVersion',
connectorProfileName: 'connectorProfileName',
incrementalPullConfig: {
datetimeTypeFieldName: 'datetimeTypeFieldName',
},
},
tasks: [{
sourceFields: ['sourceFields'],
taskType: 'taskType',
// the properties below are optional
connectorOperator: {
amplitude: 'amplitude',
customConnector: 'customConnector',
datadog: 'datadog',
dynatrace: 'dynatrace',
googleAnalytics: 'googleAnalytics',
inforNexus: 'inforNexus',
marketo: 'marketo',
pardot: 'pardot',
s3: 's3',
salesforce: 'salesforce',
sapoData: 'sapoData',
serviceNow: 'serviceNow',
singular: 'singular',
slack: 'slack',
trendmicro: 'trendmicro',
veeva: 'veeva',
zendesk: 'zendesk',
},
destinationField: 'destinationField',
taskProperties: [{
key: 'key',
value: 'value',
}],
}],
triggerConfig: {
triggerType: 'triggerType',
// the properties below are optional
triggerProperties: {
scheduleExpression: 'scheduleExpression',
// the properties below are optional
dataPullMode: 'dataPullMode',
firstExecutionFrom: 123,
flowErrorDeactivationThreshold: 123,
scheduleEndTime: 123,
scheduleOffset: 123,
scheduleStartTime: 123,
timeZone: 'timeZone',
},
},
// the properties below are optional
description: 'description',
flowStatus: 'flowStatus',
kmsArn: 'kmsArn',
metadataCatalogConfig: {
glueDataCatalog: {
databaseName: 'databaseName',
roleArn: 'roleArn',
tablePrefix: 'tablePrefix',
},
},
tags: [{
key: 'key',
value: 'value',
}],
});
Initializer
new CfnFlow(scope: Construct, id: string, props: CfnFlowProps)
Parameters
- scope
Construct
— - scope in which this resource is defined. - id
string
— - scoped id of the resource. - props
Cfn
— - resource properties.Flow Props
Create a new AWS::AppFlow::Flow
.
Construct Props
Name | Type | Description |
---|---|---|
destination | IResolvable | IResolvable | Destination [] | The configuration that controls how Amazon AppFlow places data in the destination connector. |
flow | string | The specified name of the flow. |
source | IResolvable | Source | Contains information about the configuration of the source connector used in the flow. |
tasks | IResolvable | IResolvable | Task [] | A list of tasks that Amazon AppFlow performs while transferring the data in the flow run. |
trigger | IResolvable | Trigger | The trigger settings that determine how and when Amazon AppFlow runs the specified flow. |
description? | string | A user-entered description of the flow. |
flow | string | Sets the status of the flow. You can specify one of the following values:. |
kms | string | The ARN (Amazon Resource Name) of the Key Management Service (KMS) key you provide for encryption. |
metadata | IResolvable | Metadata | AWS::AppFlow::Flow.MetadataCatalogConfig . |
tags? | Cfn [] | The tags used to organize, track, or control access for your flow. |
destinationFlowConfigList
Type:
IResolvable
|
IResolvable
|
Destination
[]
The configuration that controls how Amazon AppFlow places data in the destination connector.
flowName
Type:
string
The specified name of the flow.
Spaces are not allowed. Use underscores (_) or hyphens (-) only.
sourceFlowConfig
Type:
IResolvable
|
Source
Contains information about the configuration of the source connector used in the flow.
tasks
Type:
IResolvable
|
IResolvable
|
Task
[]
A list of tasks that Amazon AppFlow performs while transferring the data in the flow run.
triggerConfig
Type:
IResolvable
|
Trigger
The trigger settings that determine how and when Amazon AppFlow runs the specified flow.
description?
Type:
string
(optional)
A user-entered description of the flow.
flowStatus?
Type:
string
(optional)
Sets the status of the flow. You can specify one of the following values:.
- Active - The flow runs based on the trigger settings that you defined. Active scheduled flows run as scheduled, and active event-triggered flows run when the specified change event occurs. However, active on-demand flows run only when you manually start them by using Amazon AppFlow.
- Suspended - You can use this option to deactivate an active flow. Scheduled and event-triggered flows will cease to run until you reactive them. This value only affects scheduled and event-triggered flows. It has no effect for on-demand flows.
If you omit the FlowStatus parameter, Amazon AppFlow creates the flow with a default status. The default status for on-demand flows is Active. The default status for scheduled and event-triggered flows is Draft, which means they’re not yet active.
kmsArn?
Type:
string
(optional)
The ARN (Amazon Resource Name) of the Key Management Service (KMS) key you provide for encryption.
This is required if you do not want to use the Amazon AppFlow-managed KMS key. If you don't provide anything here, Amazon AppFlow uses the Amazon AppFlow-managed KMS key.
metadataCatalogConfig?
Type:
IResolvable
|
Metadata
(optional)
AWS::AppFlow::Flow.MetadataCatalogConfig
.
tags?
Type:
Cfn
[]
(optional)
The tags used to organize, track, or control access for your flow.
Properties
Name | Type | Description |
---|---|---|
attr | string | The flow's Amazon Resource Name (ARN). |
cfn | ICfn | Options for this resource, such as condition, update policy etc. |
cfn | { [string]: any } | |
cfn | string | AWS resource type. |
creation | string[] | |
destination | IResolvable | IResolvable | Destination [] | The configuration that controls how Amazon AppFlow places data in the destination connector. |
flow | string | The specified name of the flow. |
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. |
source | IResolvable | Source | Contains information about the configuration of the source connector used in the flow. |
stack | Stack | The stack in which this element is defined. |
tags | Tag | The tags used to organize, track, or control access for your flow. |
tasks | IResolvable | IResolvable | Task [] | A list of tasks that Amazon AppFlow performs while transferring the data in the flow run. |
trigger | IResolvable | Trigger | The trigger settings that determine how and when Amazon AppFlow runs the specified flow. |
description? | string | A user-entered description of the flow. |
flow | string | Sets the status of the flow. You can specify one of the following values:. |
kms | string | The ARN (Amazon Resource Name) of the Key Management Service (KMS) key you provide for encryption. |
metadata | IResolvable | Metadata | AWS::AppFlow::Flow.MetadataCatalogConfig . |
static CFN_RESOURCE_TYPE_NAME | string | The CloudFormation resource type name for this resource class. |
attrFlowArn
Type:
string
The flow's Amazon Resource Name (ARN).
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[]
destinationFlowConfigList
Type:
IResolvable
|
IResolvable
|
Destination
[]
The configuration that controls how Amazon AppFlow places data in the destination connector.
flowName
Type:
string
The specified name of the flow.
Spaces are not allowed. Use underscores (_) or hyphens (-) only.
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 })
.
sourceFlowConfig
Type:
IResolvable
|
Source
Contains information about the configuration of the source connector used in the flow.
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
The tags used to organize, track, or control access for your flow.
tasks
Type:
IResolvable
|
IResolvable
|
Task
[]
A list of tasks that Amazon AppFlow performs while transferring the data in the flow run.
triggerConfig
Type:
IResolvable
|
Trigger
The trigger settings that determine how and when Amazon AppFlow runs the specified flow.
description?
Type:
string
(optional)
A user-entered description of the flow.
flowStatus?
Type:
string
(optional)
Sets the status of the flow. You can specify one of the following values:.
- Active - The flow runs based on the trigger settings that you defined. Active scheduled flows run as scheduled, and active event-triggered flows run when the specified change event occurs. However, active on-demand flows run only when you manually start them by using Amazon AppFlow.
- Suspended - You can use this option to deactivate an active flow. Scheduled and event-triggered flows will cease to run until you reactive them. This value only affects scheduled and event-triggered flows. It has no effect for on-demand flows.
If you omit the FlowStatus parameter, Amazon AppFlow creates the flow with a default status. The default status for on-demand flows is Active. The default status for scheduled and event-triggered flows is Draft, which means they’re not yet active.
kmsArn?
Type:
string
(optional)
The ARN (Amazon Resource Name) of the Key Management Service (KMS) key you provide for encryption.
This is required if you do not want to use the Amazon AppFlow-managed KMS key. If you don't provide anything here, Amazon AppFlow uses the Amazon AppFlow-managed KMS key.
metadataCatalogConfig?
Type:
IResolvable
|
Metadata
(optional)
AWS::AppFlow::Flow.MetadataCatalogConfig
.
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 }