CfnRefreshSchedule

class aws_cdk.aws_quicksight.CfnRefreshSchedule(scope, id, *, aws_account_id=None, data_set_id=None, schedule=None)

Bases: CfnResource

Creates a refresh schedule for a dataset in Amazon QuickSight .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-quicksight-refreshschedule.html
CloudformationResource:: AWS::QuickSight::RefreshSchedule
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_quicksight as quicksight

cfn_refresh_schedule = quicksight.CfnRefreshSchedule(self, "MyCfnRefreshSchedule",
    aws_account_id="awsAccountId",
    data_set_id="dataSetId",
    schedule=quicksight.CfnRefreshSchedule.RefreshScheduleMapProperty(
        refresh_type="refreshType",
        schedule_frequency=quicksight.CfnRefreshSchedule.ScheduleFrequencyProperty(
            interval="interval",
            refresh_on_day=quicksight.CfnRefreshSchedule.RefreshOnDayProperty(
                day_of_month="dayOfMonth",
                day_of_week="dayOfWeek"
            ),
            time_of_the_day="timeOfTheDay",
            time_zone="timeZone"
        ),
        schedule_id="scheduleId",
        start_after_date_time="startAfterDateTime"
    )
)

Parameters:

scope (Construct) – Scope in which this resource is defined.
id (str) – Construct identifier for this resource (unique in its scope).
aws_account_id (Optional[str]) – The AWS account ID of the account that you are creating a schedule in.
data_set_id (Optional[str]) – The ID of the dataset that you are creating a refresh schedule for.
schedule (Union[IResolvable, RefreshScheduleMapProperty, Dict[str, Any], None]) – The refresh schedule of a dataset.

Methods

add_deletion_override(path)

Syntactic sugar for addOverride(path, undefined).

Parameters:: path (str) – The path of the value to delete.
Return type:: None

add_dependency(target)

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.

Parameters:

target (CfnResource) –

Return type:

None

add_depends_on(target)

(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

Parameters:

target (CfnResource) –

Deprecated:

use addDependency

Stability:

deprecated

Return type:

None

add_metadata(key, value)

Add a value to the CloudFormation Resource Metadata.

Parameters:

key (str) –
value (Any) –

See:

Return type:

None

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.

add_override(path, 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:

cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"])
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")

would add the overrides Example:

"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.

Parameters:

path (str) –
- The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (Any) –
- The value. Could be primitive or complex.

Return type:

None

add_property_deletion_override(property_path)

Adds an override that deletes the value of a property from the resource definition.

Parameters:: property_path (str) – The path to the property.
Return type:: None

add_property_override(property_path, value)

Adds an override to a resource property.

Syntactic sugar for addOverride("Properties.<...>", value).

Parameters:

property_path (str) – The path of the property.
value (Any) – The value.

Return type:

None

apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)

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). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT). A list of resources that support this policy can be found in the following link:

Parameters:

policy (Optional[RemovalPolicy]) –
apply_to_update_replace_policy (Optional[bool]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: true
default (Optional[RemovalPolicy]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.

See:

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html#aws-attribute-deletionpolicy-options

Return type:

None

get_att(attribute_name, type_hint=None)

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.

Parameters:

attribute_name (str) – The name of the attribute.
type_hint (Optional[ResolutionTypeHint]) –

Return type:

Reference

get_metadata(key)

Retrieve a value value from the CloudFormation Resource Metadata.

Parameters:

key (str) –

See:

Return type:

Any

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)

Examines the CloudFormation resource and discloses attributes.

Parameters:: inspector (TreeInspector) – tree inspector to collect and process attributes.
Return type:: None

obtain_dependencies()

Retrieves an array of resources this resource depends on.

This assembles dependencies on resources across stacks (including nested stacks) automatically.

Return type:: List[Union[Stack, CfnResource]]

obtain_resource_dependencies()

Get a shallow copy of dependencies between this resource and other resources in the same stack.

Return type:: List[CfnResource]

override_logical_id(new_logical_id)

Overrides the auto-generated logical ID with a specific ID.

Parameters:: new_logical_id (str) – The new logical ID to use for this stack element.
Return type:: None

remove_dependency(target)

Indicates that this resource no longer depends on another resource.

This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.

Parameters:

target (CfnResource) –

Return type:

None

replace_dependency(target, new_target)

Replaces one dependency with another.

Parameters:

target (CfnResource) – The dependency to replace.
new_target (CfnResource) – The new dependency to add.

Return type:

None

to_string()

Returns a string representation of this construct.

Return type:: str
Returns:: a string representation of this resource

Attributes

CFN_RESOURCE_TYPE_NAME = 'AWS::QuickSight::RefreshSchedule'

attr_arn

The Amazon Resource Name (ARN) for the refresh schedule.

CloudformationAttribute:: Arn

aws_account_id: The AWS account ID of the account that you are creating a schedule in.

cfn_options: Options for this resource, such as condition, update policy etc.

cfn_resource_type: AWS resource type.

creation_stack

return:

the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.

data_set_id: The ID of the dataset that you are creating a refresh schedule for.

logical_id

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).

Returns:

the logical ID as a stringified token. This value will only get resolved during synthesis.

node: The tree node.

ref

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 }).

schedule: The refresh schedule of a dataset.

stack

The stack in which this element is defined.

CfnElements must be defined within a stack scope (directly or indirectly).

Static Methods

classmethod is_cfn_element(x)

Returns true if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of instanceof to allow stack elements from different versions of this library to be included in the same stack.

Parameters:

x (Any) –

Return type:

bool

Returns:

The construct as a stack element or undefined if it is not a stack element.

classmethod is_cfn_resource(x)

Check whether the given object is a CfnResource.

Parameters:

x (Any) –

Return type:

bool

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the constructs library on disk are seen as independent, completely different libraries. As a consequence, the class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof the other class. npm install will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, and using this type-testing method instead.

Parameters:: x (Any) – Any object.
Return type:: bool
Returns:: true if x is an object created from a class which extends Construct.

RefreshOnDayProperty

class CfnRefreshSchedule.RefreshOnDayProperty(*, day_of_month=None, day_of_week=None)

Bases: object

The day that you want yout dataset to refresh.

Parameters:

day_of_month (Optional[str]) – The day of the month that you want your dataset to refresh. This value is required for monthly refresh intervals.
day_of_week (Optional[str]) – The day of the week that you want to schedule the refresh on. This value is required for weekly and monthly refresh intervals.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-refreshonday.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_quicksight as quicksight

refresh_on_day_property = quicksight.CfnRefreshSchedule.RefreshOnDayProperty(
    day_of_month="dayOfMonth",
    day_of_week="dayOfWeek"
)

Attributes

day_of_month

The day of the month that you want your dataset to refresh.

This value is required for monthly refresh intervals.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-refreshonday.html#cfn-quicksight-refreshschedule-refreshonday-dayofmonth

day_of_week

The day of the week that you want to schedule the refresh on.

This value is required for weekly and monthly refresh intervals.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-refreshonday.html#cfn-quicksight-refreshschedule-refreshonday-dayofweek

RefreshScheduleMapProperty

class CfnRefreshSchedule.RefreshScheduleMapProperty(*, refresh_type=None, schedule_frequency=None, schedule_id=None, start_after_date_time=None)

Bases: object

A summary of a configured refresh schedule for a dataset.

Parameters:

refresh_type (Optional[str]) – The type of refresh that a dataset undergoes. Valid values are as follows:. - FULL_REFRESH : A complete refresh of a dataset. - INCREMENTAL_REFRESH : A partial refresh of some rows of a dataset, based on the time window specified. For more information on full and incremental refreshes, see Refreshing SPICE data in the Amazon QuickSight User Guide .
schedule_frequency (Union[IResolvable, ScheduleFrequencyProperty, Dict[str, Any], None]) – The frequency for the refresh schedule.
schedule_id (Optional[str]) – An identifier for the refresh schedule.
start_after_date_time (Optional[str]) – Time after which the refresh schedule can be started, expressed in YYYY-MM-DDTHH:MM:SS format.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-refreshschedulemap.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_quicksight as quicksight

refresh_schedule_map_property = quicksight.CfnRefreshSchedule.RefreshScheduleMapProperty(
    refresh_type="refreshType",
    schedule_frequency=quicksight.CfnRefreshSchedule.ScheduleFrequencyProperty(
        interval="interval",
        refresh_on_day=quicksight.CfnRefreshSchedule.RefreshOnDayProperty(
            day_of_month="dayOfMonth",
            day_of_week="dayOfWeek"
        ),
        time_of_the_day="timeOfTheDay",
        time_zone="timeZone"
    ),
    schedule_id="scheduleId",
    start_after_date_time="startAfterDateTime"
)

Attributes

refresh_type

.

FULL_REFRESH : A complete refresh of a dataset.
INCREMENTAL_REFRESH : A partial refresh of some rows of a dataset, based on the time window specified.

For more information on full and incremental refreshes, see Refreshing SPICE data in the Amazon QuickSight User Guide .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-refreshschedulemap.html#cfn-quicksight-refreshschedule-refreshschedulemap-refreshtype
Type:: The type of refresh that a dataset undergoes. Valid values are as follows

schedule_frequency

The frequency for the refresh schedule.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-refreshschedulemap.html#cfn-quicksight-refreshschedule-refreshschedulemap-schedulefrequency

schedule_id

An identifier for the refresh schedule.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-refreshschedulemap.html#cfn-quicksight-refreshschedule-refreshschedulemap-scheduleid

start_after_date_time

Time after which the refresh schedule can be started, expressed in YYYY-MM-DDTHH:MM:SS format.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-refreshschedulemap.html#cfn-quicksight-refreshschedule-refreshschedulemap-startafterdatetime

ScheduleFrequencyProperty

class CfnRefreshSchedule.ScheduleFrequencyProperty(*, interval=None, refresh_on_day=None, time_of_the_day=None, time_zone=None)

Bases: object

The frequency for the refresh schedule.

Parameters:

interval (Optional[str]) – The interval between scheduled refreshes. Valid values are as follows:. - MINUTE15 : The dataset refreshes every 15 minutes. This value is only supported for incremental refreshes. This interval can only be used for one schedule per dataset. - MINUTE30 : The dataset refreshes every 30 minutes. This value is only supported for incremental refreshes. This interval can only be used for one schedule per dataset. - HOURLY : The dataset refreshes every hour. This interval can only be used for one schedule per dataset. - DAILY : The dataset refreshes every day. - WEEKLY : The dataset refreshes every week. - MONTHLY : The dataset refreshes every month.
refresh_on_day (Union[IResolvable, RefreshOnDayProperty, Dict[str, Any], None]) – The day of the week that you want to schedule the refresh on. This value is required for weekly and monthly refresh intervals.
time_of_the_day (Optional[str]) – The time of day that you want the dataset to refresh. This value is expressed in HH:MM format. This field is not required for schedules that refresh hourly.
time_zone (Optional[str]) – The timezone that you want the refresh schedule to use. The timezone ID must match a corresponding ID found on java.util.time.getAvailableIDs() .

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-schedulefrequency.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_quicksight as quicksight

schedule_frequency_property = quicksight.CfnRefreshSchedule.ScheduleFrequencyProperty(
    interval="interval",
    refresh_on_day=quicksight.CfnRefreshSchedule.RefreshOnDayProperty(
        day_of_month="dayOfMonth",
        day_of_week="dayOfWeek"
    ),
    time_of_the_day="timeOfTheDay",
    time_zone="timeZone"
)

Attributes

interval

.

MINUTE15 : The dataset refreshes every 15 minutes. This value is only supported for incremental refreshes. This interval can only be used for one schedule per dataset.
MINUTE30 : The dataset refreshes every 30 minutes. This value is only supported for incremental refreshes. This interval can only be used for one schedule per dataset.
HOURLY : The dataset refreshes every hour. This interval can only be used for one schedule per dataset.
DAILY : The dataset refreshes every day.
WEEKLY : The dataset refreshes every week.
MONTHLY : The dataset refreshes every month.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-schedulefrequency.html#cfn-quicksight-refreshschedule-schedulefrequency-interval
Type:: The interval between scheduled refreshes. Valid values are as follows

refresh_on_day

The day of the week that you want to schedule the refresh on.

This value is required for weekly and monthly refresh intervals.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-schedulefrequency.html#cfn-quicksight-refreshschedule-schedulefrequency-refreshonday

time_of_the_day

The time of day that you want the dataset to refresh.

This value is expressed in HH:MM format. This field is not required for schedules that refresh hourly.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-schedulefrequency.html#cfn-quicksight-refreshschedule-schedulefrequency-timeoftheday

time_zone

The timezone that you want the refresh schedule to use.

The timezone ID must match a corresponding ID found on java.util.time.getAvailableIDs() .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-quicksight-refreshschedule-schedulefrequency.html#cfn-quicksight-refreshschedule-schedulefrequency-timezone