We recommend new projects start with resources from the AWS provider.
aws-native.iotanalytics.Dataset
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We recommend new projects start with resources from the AWS provider.
Resource Type definition for AWS::IoTAnalytics::Dataset
Example Usage
Example
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AwsNative = Pulumi.AwsNative;
return await Deployment.RunAsync(() =>
{
var dataset = new AwsNative.IoTAnalytics.Dataset("dataset", new()
{
DatasetName = "SimpleSQLDataset",
Actions = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
{
ActionName = "SqlAction",
QueryAction = new AwsNative.IoTAnalytics.Inputs.DatasetQueryActionArgs
{
SqlQuery = "select * from Datastore",
},
},
},
Triggers = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetTriggerArgs
{
Schedule = new AwsNative.IoTAnalytics.Inputs.DatasetScheduleArgs
{
ScheduleExpression = "cron(0 12 * * ? *)",
},
},
},
});
});
package main
import (
"github.com/pulumi/pulumi-aws-native/sdk/go/aws/iotanalytics"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := iotanalytics.NewDataset(ctx, "dataset", &iotanalytics.DatasetArgs{
DatasetName: pulumi.String("SimpleSQLDataset"),
Actions: iotanalytics.DatasetActionArray{
&iotanalytics.DatasetActionArgs{
ActionName: pulumi.String("SqlAction"),
QueryAction: &iotanalytics.DatasetQueryActionArgs{
SqlQuery: pulumi.String("select * from Datastore"),
},
},
},
Triggers: iotanalytics.DatasetTriggerArray{
&iotanalytics.DatasetTriggerArgs{
Schedule: &iotanalytics.DatasetScheduleArgs{
ScheduleExpression: pulumi.String("cron(0 12 * * ? *)"),
},
},
},
})
if err != nil {
return err
}
return nil
})
}
Coming soon!
import pulumi
import pulumi_aws_native as aws_native
dataset = aws_native.iotanalytics.Dataset("dataset",
dataset_name="SimpleSQLDataset",
actions=[{
"action_name": "SqlAction",
"query_action": {
"sql_query": "select * from Datastore",
},
}],
triggers=[{
"schedule": {
"schedule_expression": "cron(0 12 * * ? *)",
},
}])
import * as pulumi from "@pulumi/pulumi";
import * as aws_native from "@pulumi/aws-native";
const dataset = new aws_native.iotanalytics.Dataset("dataset", {
datasetName: "SimpleSQLDataset",
actions: [{
actionName: "SqlAction",
queryAction: {
sqlQuery: "select * from Datastore",
},
}],
triggers: [{
schedule: {
scheduleExpression: "cron(0 12 * * ? *)",
},
}],
});
Coming soon!
Example
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AwsNative = Pulumi.AwsNative;
return await Deployment.RunAsync(() =>
{
var dataset = new AwsNative.IoTAnalytics.Dataset("dataset", new()
{
DatasetName = "SimpleSQLDataset",
Actions = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
{
ActionName = "SqlAction",
QueryAction = new AwsNative.IoTAnalytics.Inputs.DatasetQueryActionArgs
{
SqlQuery = "select * from Datastore",
},
},
},
Triggers = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetTriggerArgs
{
Schedule = new AwsNative.IoTAnalytics.Inputs.DatasetScheduleArgs
{
ScheduleExpression = "cron(0 12 * * ? *)",
},
},
},
});
});
package main
import (
"github.com/pulumi/pulumi-aws-native/sdk/go/aws/iotanalytics"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := iotanalytics.NewDataset(ctx, "dataset", &iotanalytics.DatasetArgs{
DatasetName: pulumi.String("SimpleSQLDataset"),
Actions: iotanalytics.DatasetActionArray{
&iotanalytics.DatasetActionArgs{
ActionName: pulumi.String("SqlAction"),
QueryAction: &iotanalytics.DatasetQueryActionArgs{
SqlQuery: pulumi.String("select * from Datastore"),
},
},
},
Triggers: iotanalytics.DatasetTriggerArray{
&iotanalytics.DatasetTriggerArgs{
Schedule: &iotanalytics.DatasetScheduleArgs{
ScheduleExpression: pulumi.String("cron(0 12 * * ? *)"),
},
},
},
})
if err != nil {
return err
}
return nil
})
}
Coming soon!
import pulumi
import pulumi_aws_native as aws_native
dataset = aws_native.iotanalytics.Dataset("dataset",
dataset_name="SimpleSQLDataset",
actions=[{
"action_name": "SqlAction",
"query_action": {
"sql_query": "select * from Datastore",
},
}],
triggers=[{
"schedule": {
"schedule_expression": "cron(0 12 * * ? *)",
},
}])
import * as pulumi from "@pulumi/pulumi";
import * as aws_native from "@pulumi/aws-native";
const dataset = new aws_native.iotanalytics.Dataset("dataset", {
datasetName: "SimpleSQLDataset",
actions: [{
actionName: "SqlAction",
queryAction: {
sqlQuery: "select * from Datastore",
},
}],
triggers: [{
schedule: {
scheduleExpression: "cron(0 12 * * ? *)",
},
}],
});
Coming soon!
Example
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AwsNative = Pulumi.AwsNative;
return await Deployment.RunAsync(() =>
{
var dataset = new AwsNative.IoTAnalytics.Dataset("dataset", new()
{
DatasetName = "ComplexSQLDataset",
Actions = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
{
ActionName = "SqlAction",
QueryAction = new AwsNative.IoTAnalytics.Inputs.DatasetQueryActionArgs
{
SqlQuery = "select * from Datastore",
Filters = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetFilterArgs
{
DeltaTime = new AwsNative.IoTAnalytics.Inputs.DatasetDeltaTimeArgs
{
OffsetSeconds = 1,
TimeExpression = "timestamp",
},
},
},
},
},
},
Triggers = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetTriggerArgs
{
Schedule = new AwsNative.IoTAnalytics.Inputs.DatasetScheduleArgs
{
ScheduleExpression = "cron(0 12 * * ? *)",
},
},
},
RetentionPeriod = new AwsNative.IoTAnalytics.Inputs.DatasetRetentionPeriodArgs
{
Unlimited = false,
NumberOfDays = 10,
},
Tags = new[]
{
new AwsNative.Inputs.TagArgs
{
Key = "keyname1",
Value = "value1",
},
new AwsNative.Inputs.TagArgs
{
Key = "keyname2",
Value = "value2",
},
},
});
});
package main
import (
awsnative "github.com/pulumi/pulumi-aws-native/sdk/go/aws"
"github.com/pulumi/pulumi-aws-native/sdk/go/aws/iotanalytics"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := iotanalytics.NewDataset(ctx, "dataset", &iotanalytics.DatasetArgs{
DatasetName: pulumi.String("ComplexSQLDataset"),
Actions: iotanalytics.DatasetActionArray{
&iotanalytics.DatasetActionArgs{
ActionName: pulumi.String("SqlAction"),
QueryAction: &iotanalytics.DatasetQueryActionArgs{
SqlQuery: pulumi.String("select * from Datastore"),
Filters: iotanalytics.DatasetFilterArray{
&iotanalytics.DatasetFilterArgs{
DeltaTime: &iotanalytics.DatasetDeltaTimeArgs{
OffsetSeconds: pulumi.Int(1),
TimeExpression: pulumi.String("timestamp"),
},
},
},
},
},
},
Triggers: iotanalytics.DatasetTriggerArray{
&iotanalytics.DatasetTriggerArgs{
Schedule: &iotanalytics.DatasetScheduleArgs{
ScheduleExpression: pulumi.String("cron(0 12 * * ? *)"),
},
},
},
RetentionPeriod: &iotanalytics.DatasetRetentionPeriodArgs{
Unlimited: pulumi.Bool(false),
NumberOfDays: pulumi.Int(10),
},
Tags: aws.TagArray{
&aws.TagArgs{
Key: pulumi.String("keyname1"),
Value: pulumi.String("value1"),
},
&aws.TagArgs{
Key: pulumi.String("keyname2"),
Value: pulumi.String("value2"),
},
},
})
if err != nil {
return err
}
return nil
})
}
Coming soon!
import pulumi
import pulumi_aws_native as aws_native
dataset = aws_native.iotanalytics.Dataset("dataset",
dataset_name="ComplexSQLDataset",
actions=[{
"action_name": "SqlAction",
"query_action": {
"sql_query": "select * from Datastore",
"filters": [{
"delta_time": {
"offset_seconds": 1,
"time_expression": "timestamp",
},
}],
},
}],
triggers=[{
"schedule": {
"schedule_expression": "cron(0 12 * * ? *)",
},
}],
retention_period={
"unlimited": False,
"number_of_days": 10,
},
tags=[
{
"key": "keyname1",
"value": "value1",
},
{
"key": "keyname2",
"value": "value2",
},
])
import * as pulumi from "@pulumi/pulumi";
import * as aws_native from "@pulumi/aws-native";
const dataset = new aws_native.iotanalytics.Dataset("dataset", {
datasetName: "ComplexSQLDataset",
actions: [{
actionName: "SqlAction",
queryAction: {
sqlQuery: "select * from Datastore",
filters: [{
deltaTime: {
offsetSeconds: 1,
timeExpression: "timestamp",
},
}],
},
}],
triggers: [{
schedule: {
scheduleExpression: "cron(0 12 * * ? *)",
},
}],
retentionPeriod: {
unlimited: false,
numberOfDays: 10,
},
tags: [
{
key: "keyname1",
value: "value1",
},
{
key: "keyname2",
value: "value2",
},
],
});
Coming soon!
Example
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AwsNative = Pulumi.AwsNative;
return await Deployment.RunAsync(() =>
{
var dataset = new AwsNative.IoTAnalytics.Dataset("dataset", new()
{
DatasetName = "ComplexSQLDataset",
Actions = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
{
ActionName = "SqlAction",
QueryAction = new AwsNative.IoTAnalytics.Inputs.DatasetQueryActionArgs
{
SqlQuery = "select * from Datastore",
Filters = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetFilterArgs
{
DeltaTime = new AwsNative.IoTAnalytics.Inputs.DatasetDeltaTimeArgs
{
OffsetSeconds = 1,
TimeExpression = "timestamp",
},
},
},
},
},
},
Triggers = new[]
{
new AwsNative.IoTAnalytics.Inputs.DatasetTriggerArgs
{
Schedule = new AwsNative.IoTAnalytics.Inputs.DatasetScheduleArgs
{
ScheduleExpression = "cron(0 12 * * ? *)",
},
},
},
RetentionPeriod = new AwsNative.IoTAnalytics.Inputs.DatasetRetentionPeriodArgs
{
Unlimited = false,
NumberOfDays = 10,
},
Tags = new[]
{
new AwsNative.Inputs.TagArgs
{
Key = "keyname1",
Value = "value1",
},
new AwsNative.Inputs.TagArgs
{
Key = "keyname2",
Value = "value2",
},
},
});
});
package main
import (
awsnative "github.com/pulumi/pulumi-aws-native/sdk/go/aws"
"github.com/pulumi/pulumi-aws-native/sdk/go/aws/iotanalytics"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := iotanalytics.NewDataset(ctx, "dataset", &iotanalytics.DatasetArgs{
DatasetName: pulumi.String("ComplexSQLDataset"),
Actions: iotanalytics.DatasetActionArray{
&iotanalytics.DatasetActionArgs{
ActionName: pulumi.String("SqlAction"),
QueryAction: &iotanalytics.DatasetQueryActionArgs{
SqlQuery: pulumi.String("select * from Datastore"),
Filters: iotanalytics.DatasetFilterArray{
&iotanalytics.DatasetFilterArgs{
DeltaTime: &iotanalytics.DatasetDeltaTimeArgs{
OffsetSeconds: pulumi.Int(1),
TimeExpression: pulumi.String("timestamp"),
},
},
},
},
},
},
Triggers: iotanalytics.DatasetTriggerArray{
&iotanalytics.DatasetTriggerArgs{
Schedule: &iotanalytics.DatasetScheduleArgs{
ScheduleExpression: pulumi.String("cron(0 12 * * ? *)"),
},
},
},
RetentionPeriod: &iotanalytics.DatasetRetentionPeriodArgs{
Unlimited: pulumi.Bool(false),
NumberOfDays: pulumi.Int(10),
},
Tags: aws.TagArray{
&aws.TagArgs{
Key: pulumi.String("keyname1"),
Value: pulumi.String("value1"),
},
&aws.TagArgs{
Key: pulumi.String("keyname2"),
Value: pulumi.String("value2"),
},
},
})
if err != nil {
return err
}
return nil
})
}
Coming soon!
import pulumi
import pulumi_aws_native as aws_native
dataset = aws_native.iotanalytics.Dataset("dataset",
dataset_name="ComplexSQLDataset",
actions=[{
"action_name": "SqlAction",
"query_action": {
"sql_query": "select * from Datastore",
"filters": [{
"delta_time": {
"offset_seconds": 1,
"time_expression": "timestamp",
},
}],
},
}],
triggers=[{
"schedule": {
"schedule_expression": "cron(0 12 * * ? *)",
},
}],
retention_period={
"unlimited": False,
"number_of_days": 10,
},
tags=[
{
"key": "keyname1",
"value": "value1",
},
{
"key": "keyname2",
"value": "value2",
},
])
import * as pulumi from "@pulumi/pulumi";
import * as aws_native from "@pulumi/aws-native";
const dataset = new aws_native.iotanalytics.Dataset("dataset", {
datasetName: "ComplexSQLDataset",
actions: [{
actionName: "SqlAction",
queryAction: {
sqlQuery: "select * from Datastore",
filters: [{
deltaTime: {
offsetSeconds: 1,
timeExpression: "timestamp",
},
}],
},
}],
triggers: [{
schedule: {
scheduleExpression: "cron(0 12 * * ? *)",
},
}],
retentionPeriod: {
unlimited: false,
numberOfDays: 10,
},
tags: [
{
key: "keyname1",
value: "value1",
},
{
key: "keyname2",
value: "value2",
},
],
});
Coming soon!
Create Dataset Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Dataset(name: string, args: DatasetArgs, opts?: CustomResourceOptions);
@overload
def Dataset(resource_name: str,
args: DatasetArgs,
opts: Optional[ResourceOptions] = None)
@overload
def Dataset(resource_name: str,
opts: Optional[ResourceOptions] = None,
actions: Optional[Sequence[DatasetActionArgs]] = None,
content_delivery_rules: Optional[Sequence[DatasetContentDeliveryRuleArgs]] = None,
dataset_name: Optional[str] = None,
late_data_rules: Optional[Sequence[DatasetLateDataRuleArgs]] = None,
retention_period: Optional[DatasetRetentionPeriodArgs] = None,
tags: Optional[Sequence[_root_inputs.TagArgs]] = None,
triggers: Optional[Sequence[DatasetTriggerArgs]] = None,
versioning_configuration: Optional[DatasetVersioningConfigurationArgs] = None)
func NewDataset(ctx *Context, name string, args DatasetArgs, opts ...ResourceOption) (*Dataset, error)
public Dataset(string name, DatasetArgs args, CustomResourceOptions? opts = null)
public Dataset(String name, DatasetArgs args)
public Dataset(String name, DatasetArgs args, CustomResourceOptions options)
type: aws-native:iotanalytics:Dataset
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Dataset Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The Dataset resource accepts the following input properties:
- Actions
List<Pulumi.
Aws Native. Io TAnalytics. Inputs. Dataset Action> - The
DatasetAction
objects that automatically create the dataset contents. - Content
Delivery List<Pulumi.Rules Aws Native. Io TAnalytics. Inputs. Dataset Content Delivery Rule> - When dataset contents are created they are delivered to destinations specified here.
- Dataset
Name string - The name of the dataset.
- Late
Data List<Pulumi.Rules Aws Native. Io TAnalytics. Inputs. Dataset Late Data Rule> - A list of data rules that send notifications to CloudWatch, when data arrives late. To specify
lateDataRules
, the dataset must use a DeltaTimer filter. - Retention
Period Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset Retention Period - Optional. How long, in days, message data is kept for the dataset.
- List<Pulumi.
Aws Native. Inputs. Tag> Metadata which can be used to manage the data set.
For more information, see Tag .
- Triggers
List<Pulumi.
Aws Native. Io TAnalytics. Inputs. Dataset Trigger> - The
DatasetTrigger
objects that specify when the dataset is automatically updated. - Versioning
Configuration Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset Versioning Configuration - Optional. How many versions of dataset contents are kept. If not specified or set to null, only the latest version plus the latest succeeded version (if they are different) are kept for the time period specified by the
retentionPeriod
parameter. For more information, see Keeping Multiple Versions of AWS IoT Analytics datasets in the AWS IoT Analytics User Guide .
- Actions
[]Dataset
Action Args - The
DatasetAction
objects that automatically create the dataset contents. - Content
Delivery []DatasetRules Content Delivery Rule Args - When dataset contents are created they are delivered to destinations specified here.
- Dataset
Name string - The name of the dataset.
- Late
Data []DatasetRules Late Data Rule Args - A list of data rules that send notifications to CloudWatch, when data arrives late. To specify
lateDataRules
, the dataset must use a DeltaTimer filter. - Retention
Period DatasetRetention Period Args - Optional. How long, in days, message data is kept for the dataset.
- Tag
Args Metadata which can be used to manage the data set.
For more information, see Tag .
- Triggers
[]Dataset
Trigger Args - The
DatasetTrigger
objects that specify when the dataset is automatically updated. - Versioning
Configuration DatasetVersioning Configuration Args - Optional. How many versions of dataset contents are kept. If not specified or set to null, only the latest version plus the latest succeeded version (if they are different) are kept for the time period specified by the
retentionPeriod
parameter. For more information, see Keeping Multiple Versions of AWS IoT Analytics datasets in the AWS IoT Analytics User Guide .
- actions
List<Dataset
Action> - The
DatasetAction
objects that automatically create the dataset contents. - content
Delivery List<DatasetRules Content Delivery Rule> - When dataset contents are created they are delivered to destinations specified here.
- dataset
Name String - The name of the dataset.
- late
Data List<DatasetRules Late Data Rule> - A list of data rules that send notifications to CloudWatch, when data arrives late. To specify
lateDataRules
, the dataset must use a DeltaTimer filter. - retention
Period DatasetRetention Period - Optional. How long, in days, message data is kept for the dataset.
- List<Tag>
Metadata which can be used to manage the data set.
For more information, see Tag .
- triggers
List<Dataset
Trigger> - The
DatasetTrigger
objects that specify when the dataset is automatically updated. - versioning
Configuration DatasetVersioning Configuration - Optional. How many versions of dataset contents are kept. If not specified or set to null, only the latest version plus the latest succeeded version (if they are different) are kept for the time period specified by the
retentionPeriod
parameter. For more information, see Keeping Multiple Versions of AWS IoT Analytics datasets in the AWS IoT Analytics User Guide .
- actions
Dataset
Action[] - The
DatasetAction
objects that automatically create the dataset contents. - content
Delivery DatasetRules Content Delivery Rule[] - When dataset contents are created they are delivered to destinations specified here.
- dataset
Name string - The name of the dataset.
- late
Data DatasetRules Late Data Rule[] - A list of data rules that send notifications to CloudWatch, when data arrives late. To specify
lateDataRules
, the dataset must use a DeltaTimer filter. - retention
Period DatasetRetention Period - Optional. How long, in days, message data is kept for the dataset.
- Tag[]
Metadata which can be used to manage the data set.
For more information, see Tag .
- triggers
Dataset
Trigger[] - The
DatasetTrigger
objects that specify when the dataset is automatically updated. - versioning
Configuration DatasetVersioning Configuration - Optional. How many versions of dataset contents are kept. If not specified or set to null, only the latest version plus the latest succeeded version (if they are different) are kept for the time period specified by the
retentionPeriod
parameter. For more information, see Keeping Multiple Versions of AWS IoT Analytics datasets in the AWS IoT Analytics User Guide .
- actions
Sequence[Dataset
Action Args] - The
DatasetAction
objects that automatically create the dataset contents. - content_
delivery_ Sequence[Datasetrules Content Delivery Rule Args] - When dataset contents are created they are delivered to destinations specified here.
- dataset_
name str - The name of the dataset.
- late_
data_ Sequence[Datasetrules Late Data Rule Args] - A list of data rules that send notifications to CloudWatch, when data arrives late. To specify
lateDataRules
, the dataset must use a DeltaTimer filter. - retention_
period DatasetRetention Period Args - Optional. How long, in days, message data is kept for the dataset.
- Sequence[Tag
Args] Metadata which can be used to manage the data set.
For more information, see Tag .
- triggers
Sequence[Dataset
Trigger Args] - The
DatasetTrigger
objects that specify when the dataset is automatically updated. - versioning_
configuration DatasetVersioning Configuration Args - Optional. How many versions of dataset contents are kept. If not specified or set to null, only the latest version plus the latest succeeded version (if they are different) are kept for the time period specified by the
retentionPeriod
parameter. For more information, see Keeping Multiple Versions of AWS IoT Analytics datasets in the AWS IoT Analytics User Guide .
- actions List<Property Map>
- The
DatasetAction
objects that automatically create the dataset contents. - content
Delivery List<Property Map>Rules - When dataset contents are created they are delivered to destinations specified here.
- dataset
Name String - The name of the dataset.
- late
Data List<Property Map>Rules - A list of data rules that send notifications to CloudWatch, when data arrives late. To specify
lateDataRules
, the dataset must use a DeltaTimer filter. - retention
Period Property Map - Optional. How long, in days, message data is kept for the dataset.
- List<Property Map>
Metadata which can be used to manage the data set.
For more information, see Tag .
- triggers List<Property Map>
- The
DatasetTrigger
objects that specify when the dataset is automatically updated. - versioning
Configuration Property Map - Optional. How many versions of dataset contents are kept. If not specified or set to null, only the latest version plus the latest succeeded version (if they are different) are kept for the time period specified by the
retentionPeriod
parameter. For more information, see Keeping Multiple Versions of AWS IoT Analytics datasets in the AWS IoT Analytics User Guide .
Outputs
All input properties are implicitly available as output properties. Additionally, the Dataset resource produces the following output properties:
Supporting Types
DatasetAction, DatasetActionArgs
- Action
Name string - The name of the data set action by which data set contents are automatically created.
- Container
Action Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset Container Action - Information which allows the system to run a containerized application in order to create the data set contents. The application must be in a Docker container along with any needed support libraries.
- Query
Action Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset Query Action - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- Action
Name string - The name of the data set action by which data set contents are automatically created.
- Container
Action DatasetContainer Action - Information which allows the system to run a containerized application in order to create the data set contents. The application must be in a Docker container along with any needed support libraries.
- Query
Action DatasetQuery Action - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- action
Name String - The name of the data set action by which data set contents are automatically created.
- container
Action DatasetContainer Action - Information which allows the system to run a containerized application in order to create the data set contents. The application must be in a Docker container along with any needed support libraries.
- query
Action DatasetQuery Action - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- action
Name string - The name of the data set action by which data set contents are automatically created.
- container
Action DatasetContainer Action - Information which allows the system to run a containerized application in order to create the data set contents. The application must be in a Docker container along with any needed support libraries.
- query
Action DatasetQuery Action - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- action_
name str - The name of the data set action by which data set contents are automatically created.
- container_
action DatasetContainer Action - Information which allows the system to run a containerized application in order to create the data set contents. The application must be in a Docker container along with any needed support libraries.
- query_
action DatasetQuery Action - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- action
Name String - The name of the data set action by which data set contents are automatically created.
- container
Action Property Map - Information which allows the system to run a containerized application in order to create the data set contents. The application must be in a Docker container along with any needed support libraries.
- query
Action Property Map - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
DatasetContainerAction, DatasetContainerActionArgs
- Execution
Role stringArn - The ARN of the role which gives permission to the system to access needed resources in order to run the "containerAction". This includes, at minimum, permission to retrieve the data set contents which are the input to the containerized application.
- Image string
- The ARN of the Docker container stored in your account. The Docker container contains an application and needed support libraries and is used to generate data set contents.
- Resource
Configuration Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset Resource Configuration - Configuration of the resource which executes the "containerAction".
- Variables
List<Pulumi.
Aws Native. Io TAnalytics. Inputs. Dataset Variable> - The values of variables used within the context of the execution of the containerized application (basically, parameters passed to the application). Each variable must have a name and a value given by one of "stringValue", "datasetContentVersionValue", or "outputFileUriValue".
- Execution
Role stringArn - The ARN of the role which gives permission to the system to access needed resources in order to run the "containerAction". This includes, at minimum, permission to retrieve the data set contents which are the input to the containerized application.
- Image string
- The ARN of the Docker container stored in your account. The Docker container contains an application and needed support libraries and is used to generate data set contents.
- Resource
Configuration DatasetResource Configuration - Configuration of the resource which executes the "containerAction".
- Variables
[]Dataset
Variable - The values of variables used within the context of the execution of the containerized application (basically, parameters passed to the application). Each variable must have a name and a value given by one of "stringValue", "datasetContentVersionValue", or "outputFileUriValue".
- execution
Role StringArn - The ARN of the role which gives permission to the system to access needed resources in order to run the "containerAction". This includes, at minimum, permission to retrieve the data set contents which are the input to the containerized application.
- image String
- The ARN of the Docker container stored in your account. The Docker container contains an application and needed support libraries and is used to generate data set contents.
- resource
Configuration DatasetResource Configuration - Configuration of the resource which executes the "containerAction".
- variables
List<Dataset
Variable> - The values of variables used within the context of the execution of the containerized application (basically, parameters passed to the application). Each variable must have a name and a value given by one of "stringValue", "datasetContentVersionValue", or "outputFileUriValue".
- execution
Role stringArn - The ARN of the role which gives permission to the system to access needed resources in order to run the "containerAction". This includes, at minimum, permission to retrieve the data set contents which are the input to the containerized application.
- image string
- The ARN of the Docker container stored in your account. The Docker container contains an application and needed support libraries and is used to generate data set contents.
- resource
Configuration DatasetResource Configuration - Configuration of the resource which executes the "containerAction".
- variables
Dataset
Variable[] - The values of variables used within the context of the execution of the containerized application (basically, parameters passed to the application). Each variable must have a name and a value given by one of "stringValue", "datasetContentVersionValue", or "outputFileUriValue".
- execution_
role_ strarn - The ARN of the role which gives permission to the system to access needed resources in order to run the "containerAction". This includes, at minimum, permission to retrieve the data set contents which are the input to the containerized application.
- image str
- The ARN of the Docker container stored in your account. The Docker container contains an application and needed support libraries and is used to generate data set contents.
- resource_
configuration DatasetResource Configuration - Configuration of the resource which executes the "containerAction".
- variables
Sequence[Dataset
Variable] - The values of variables used within the context of the execution of the containerized application (basically, parameters passed to the application). Each variable must have a name and a value given by one of "stringValue", "datasetContentVersionValue", or "outputFileUriValue".
- execution
Role StringArn - The ARN of the role which gives permission to the system to access needed resources in order to run the "containerAction". This includes, at minimum, permission to retrieve the data set contents which are the input to the containerized application.
- image String
- The ARN of the Docker container stored in your account. The Docker container contains an application and needed support libraries and is used to generate data set contents.
- resource
Configuration Property Map - Configuration of the resource which executes the "containerAction".
- variables List<Property Map>
- The values of variables used within the context of the execution of the containerized application (basically, parameters passed to the application). Each variable must have a name and a value given by one of "stringValue", "datasetContentVersionValue", or "outputFileUriValue".
DatasetContentDeliveryRule, DatasetContentDeliveryRuleArgs
- Destination
Pulumi.
Aws Native. Io TAnalytics. Inputs. Dataset Content Delivery Rule Destination - The destination to which dataset contents are delivered.
- Entry
Name string - The name of the dataset content delivery rules entry.
- Destination
Dataset
Content Delivery Rule Destination - The destination to which dataset contents are delivered.
- Entry
Name string - The name of the dataset content delivery rules entry.
- destination
Dataset
Content Delivery Rule Destination - The destination to which dataset contents are delivered.
- entry
Name String - The name of the dataset content delivery rules entry.
- destination
Dataset
Content Delivery Rule Destination - The destination to which dataset contents are delivered.
- entry
Name string - The name of the dataset content delivery rules entry.
- destination
Dataset
Content Delivery Rule Destination - The destination to which dataset contents are delivered.
- entry_
name str - The name of the dataset content delivery rules entry.
- destination Property Map
- The destination to which dataset contents are delivered.
- entry
Name String - The name of the dataset content delivery rules entry.
DatasetContentDeliveryRuleDestination, DatasetContentDeliveryRuleDestinationArgs
- Iot
Events Pulumi.Destination Configuration Aws Native. Io TAnalytics. Inputs. Dataset Iot Events Destination Configuration - Configuration information for delivery of dataset contents to AWS IoT Events .
- S3Destination
Configuration Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset S3Destination Configuration - Configuration information for delivery of dataset contents to Amazon S3.
- Iot
Events DatasetDestination Configuration Iot Events Destination Configuration - Configuration information for delivery of dataset contents to AWS IoT Events .
- S3Destination
Configuration DatasetS3Destination Configuration - Configuration information for delivery of dataset contents to Amazon S3.
- iot
Events DatasetDestination Configuration Iot Events Destination Configuration - Configuration information for delivery of dataset contents to AWS IoT Events .
- s3Destination
Configuration DatasetS3Destination Configuration - Configuration information for delivery of dataset contents to Amazon S3.
- iot
Events DatasetDestination Configuration Iot Events Destination Configuration - Configuration information for delivery of dataset contents to AWS IoT Events .
- s3Destination
Configuration DatasetS3Destination Configuration - Configuration information for delivery of dataset contents to Amazon S3.
- iot_
events_ Datasetdestination_ configuration Iot Events Destination Configuration - Configuration information for delivery of dataset contents to AWS IoT Events .
- s3_
destination_ Datasetconfiguration S3Destination Configuration - Configuration information for delivery of dataset contents to Amazon S3.
- iot
Events Property MapDestination Configuration - Configuration information for delivery of dataset contents to AWS IoT Events .
- s3Destination
Configuration Property Map - Configuration information for delivery of dataset contents to Amazon S3.
DatasetContentVersionValue, DatasetContentVersionValueArgs
- Dataset
Name string - The name of the dataset whose latest contents are used as input to the notebook or application.
- Dataset
Name string - The name of the dataset whose latest contents are used as input to the notebook or application.
- dataset
Name String - The name of the dataset whose latest contents are used as input to the notebook or application.
- dataset
Name string - The name of the dataset whose latest contents are used as input to the notebook or application.
- dataset_
name str - The name of the dataset whose latest contents are used as input to the notebook or application.
- dataset
Name String - The name of the dataset whose latest contents are used as input to the notebook or application.
DatasetDeltaTime, DatasetDeltaTimeArgs
- Offset
Seconds int - The number of seconds of estimated in-flight lag time of message data. When you create dataset contents using message data from a specified timeframe, some message data might still be in flight when processing begins, and so do not arrive in time to be processed. Use this field to make allowances for the in flight time of your message data, so that data not processed from a previous timeframe is included with the next timeframe. Otherwise, missed message data would be excluded from processing during the next timeframe too, because its timestamp places it within the previous timeframe.
- Time
Expression string - An expression by which the time of the message data might be determined. This can be the name of a timestamp field or a SQL expression that is used to derive the time the message data was generated.
- Offset
Seconds int - The number of seconds of estimated in-flight lag time of message data. When you create dataset contents using message data from a specified timeframe, some message data might still be in flight when processing begins, and so do not arrive in time to be processed. Use this field to make allowances for the in flight time of your message data, so that data not processed from a previous timeframe is included with the next timeframe. Otherwise, missed message data would be excluded from processing during the next timeframe too, because its timestamp places it within the previous timeframe.
- Time
Expression string - An expression by which the time of the message data might be determined. This can be the name of a timestamp field or a SQL expression that is used to derive the time the message data was generated.
- offset
Seconds Integer - The number of seconds of estimated in-flight lag time of message data. When you create dataset contents using message data from a specified timeframe, some message data might still be in flight when processing begins, and so do not arrive in time to be processed. Use this field to make allowances for the in flight time of your message data, so that data not processed from a previous timeframe is included with the next timeframe. Otherwise, missed message data would be excluded from processing during the next timeframe too, because its timestamp places it within the previous timeframe.
- time
Expression String - An expression by which the time of the message data might be determined. This can be the name of a timestamp field or a SQL expression that is used to derive the time the message data was generated.
- offset
Seconds number - The number of seconds of estimated in-flight lag time of message data. When you create dataset contents using message data from a specified timeframe, some message data might still be in flight when processing begins, and so do not arrive in time to be processed. Use this field to make allowances for the in flight time of your message data, so that data not processed from a previous timeframe is included with the next timeframe. Otherwise, missed message data would be excluded from processing during the next timeframe too, because its timestamp places it within the previous timeframe.
- time
Expression string - An expression by which the time of the message data might be determined. This can be the name of a timestamp field or a SQL expression that is used to derive the time the message data was generated.
- offset_
seconds int - The number of seconds of estimated in-flight lag time of message data. When you create dataset contents using message data from a specified timeframe, some message data might still be in flight when processing begins, and so do not arrive in time to be processed. Use this field to make allowances for the in flight time of your message data, so that data not processed from a previous timeframe is included with the next timeframe. Otherwise, missed message data would be excluded from processing during the next timeframe too, because its timestamp places it within the previous timeframe.
- time_
expression str - An expression by which the time of the message data might be determined. This can be the name of a timestamp field or a SQL expression that is used to derive the time the message data was generated.
- offset
Seconds Number - The number of seconds of estimated in-flight lag time of message data. When you create dataset contents using message data from a specified timeframe, some message data might still be in flight when processing begins, and so do not arrive in time to be processed. Use this field to make allowances for the in flight time of your message data, so that data not processed from a previous timeframe is included with the next timeframe. Otherwise, missed message data would be excluded from processing during the next timeframe too, because its timestamp places it within the previous timeframe.
- time
Expression String - An expression by which the time of the message data might be determined. This can be the name of a timestamp field or a SQL expression that is used to derive the time the message data was generated.
DatasetDeltaTimeSessionWindowConfiguration, DatasetDeltaTimeSessionWindowConfigurationArgs
- Timeout
In intMinutes A time interval. You can use
timeoutInMinutes
so that AWS IoT Analytics can batch up late data notifications that have been generated since the last execution. AWS IoT Analytics sends one batch of notifications to Amazon CloudWatch Events at one time.For more information about how to write a timestamp expression, see Date and Time Functions and Operators , in the Presto 0.172 Documentation .
- Timeout
In intMinutes A time interval. You can use
timeoutInMinutes
so that AWS IoT Analytics can batch up late data notifications that have been generated since the last execution. AWS IoT Analytics sends one batch of notifications to Amazon CloudWatch Events at one time.For more information about how to write a timestamp expression, see Date and Time Functions and Operators , in the Presto 0.172 Documentation .
- timeout
In IntegerMinutes A time interval. You can use
timeoutInMinutes
so that AWS IoT Analytics can batch up late data notifications that have been generated since the last execution. AWS IoT Analytics sends one batch of notifications to Amazon CloudWatch Events at one time.For more information about how to write a timestamp expression, see Date and Time Functions and Operators , in the Presto 0.172 Documentation .
- timeout
In numberMinutes A time interval. You can use
timeoutInMinutes
so that AWS IoT Analytics can batch up late data notifications that have been generated since the last execution. AWS IoT Analytics sends one batch of notifications to Amazon CloudWatch Events at one time.For more information about how to write a timestamp expression, see Date and Time Functions and Operators , in the Presto 0.172 Documentation .
- timeout_
in_ intminutes A time interval. You can use
timeoutInMinutes
so that AWS IoT Analytics can batch up late data notifications that have been generated since the last execution. AWS IoT Analytics sends one batch of notifications to Amazon CloudWatch Events at one time.For more information about how to write a timestamp expression, see Date and Time Functions and Operators , in the Presto 0.172 Documentation .
- timeout
In NumberMinutes A time interval. You can use
timeoutInMinutes
so that AWS IoT Analytics can batch up late data notifications that have been generated since the last execution. AWS IoT Analytics sends one batch of notifications to Amazon CloudWatch Events at one time.For more information about how to write a timestamp expression, see Date and Time Functions and Operators , in the Presto 0.172 Documentation .
DatasetFilter, DatasetFilterArgs
- Delta
Time Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset Delta Time - Used to limit data to that which has arrived since the last execution of the action.
- Delta
Time DatasetDelta Time - Used to limit data to that which has arrived since the last execution of the action.
- delta
Time DatasetDelta Time - Used to limit data to that which has arrived since the last execution of the action.
- delta
Time DatasetDelta Time - Used to limit data to that which has arrived since the last execution of the action.
- delta_
time DatasetDelta Time - Used to limit data to that which has arrived since the last execution of the action.
- delta
Time Property Map - Used to limit data to that which has arrived since the last execution of the action.
DatasetGlueConfiguration, DatasetGlueConfigurationArgs
- Database
Name string - The name of the database in your AWS Glue Data Catalog in which the table is located. An AWS Glue Data Catalog database contains metadata tables.
- Table
Name string - The name of the table in your AWS Glue Data Catalog that is used to perform the ETL operations. An AWS Glue Data Catalog table contains partitioned data and descriptions of data sources and targets.
- Database
Name string - The name of the database in your AWS Glue Data Catalog in which the table is located. An AWS Glue Data Catalog database contains metadata tables.
- Table
Name string - The name of the table in your AWS Glue Data Catalog that is used to perform the ETL operations. An AWS Glue Data Catalog table contains partitioned data and descriptions of data sources and targets.
- database
Name String - The name of the database in your AWS Glue Data Catalog in which the table is located. An AWS Glue Data Catalog database contains metadata tables.
- table
Name String - The name of the table in your AWS Glue Data Catalog that is used to perform the ETL operations. An AWS Glue Data Catalog table contains partitioned data and descriptions of data sources and targets.
- database
Name string - The name of the database in your AWS Glue Data Catalog in which the table is located. An AWS Glue Data Catalog database contains metadata tables.
- table
Name string - The name of the table in your AWS Glue Data Catalog that is used to perform the ETL operations. An AWS Glue Data Catalog table contains partitioned data and descriptions of data sources and targets.
- database_
name str - The name of the database in your AWS Glue Data Catalog in which the table is located. An AWS Glue Data Catalog database contains metadata tables.
- table_
name str - The name of the table in your AWS Glue Data Catalog that is used to perform the ETL operations. An AWS Glue Data Catalog table contains partitioned data and descriptions of data sources and targets.
- database
Name String - The name of the database in your AWS Glue Data Catalog in which the table is located. An AWS Glue Data Catalog database contains metadata tables.
- table
Name String - The name of the table in your AWS Glue Data Catalog that is used to perform the ETL operations. An AWS Glue Data Catalog table contains partitioned data and descriptions of data sources and targets.
DatasetIotEventsDestinationConfiguration, DatasetIotEventsDestinationConfigurationArgs
- input_
name str - The name of the AWS IoT Events input to which dataset contents are delivered.
- role_
arn str - The ARN of the role that grants AWS IoT Analytics permission to deliver dataset contents to an AWS IoT Events input.
DatasetLateDataRule, DatasetLateDataRuleArgs
- Rule
Configuration Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset Late Data Rule Configuration - The information needed to configure the late data rule.
- Rule
Name string - The name of the late data rule.
- Rule
Configuration DatasetLate Data Rule Configuration - The information needed to configure the late data rule.
- Rule
Name string - The name of the late data rule.
- rule
Configuration DatasetLate Data Rule Configuration - The information needed to configure the late data rule.
- rule
Name String - The name of the late data rule.
- rule
Configuration DatasetLate Data Rule Configuration - The information needed to configure the late data rule.
- rule
Name string - The name of the late data rule.
- rule_
configuration DatasetLate Data Rule Configuration - The information needed to configure the late data rule.
- rule_
name str - The name of the late data rule.
- rule
Configuration Property Map - The information needed to configure the late data rule.
- rule
Name String - The name of the late data rule.
DatasetLateDataRuleConfiguration, DatasetLateDataRuleConfigurationArgs
- Delta
Time Pulumi.Session Window Configuration Aws Native. Io TAnalytics. Inputs. Dataset Delta Time Session Window Configuration - The information needed to configure a delta time session window.
- Delta
Time DatasetSession Window Configuration Delta Time Session Window Configuration - The information needed to configure a delta time session window.
- delta
Time DatasetSession Window Configuration Delta Time Session Window Configuration - The information needed to configure a delta time session window.
- delta
Time DatasetSession Window Configuration Delta Time Session Window Configuration - The information needed to configure a delta time session window.
- delta_
time_ Datasetsession_ window_ configuration Delta Time Session Window Configuration - The information needed to configure a delta time session window.
- delta
Time Property MapSession Window Configuration - The information needed to configure a delta time session window.
DatasetOutputFileUriValue, DatasetOutputFileUriValueArgs
- File
Name string - The URI of the location where dataset contents are stored, usually the URI of a file in an S3 bucket.
- File
Name string - The URI of the location where dataset contents are stored, usually the URI of a file in an S3 bucket.
- file
Name String - The URI of the location where dataset contents are stored, usually the URI of a file in an S3 bucket.
- file
Name string - The URI of the location where dataset contents are stored, usually the URI of a file in an S3 bucket.
- file_
name str - The URI of the location where dataset contents are stored, usually the URI of a file in an S3 bucket.
- file
Name String - The URI of the location where dataset contents are stored, usually the URI of a file in an S3 bucket.
DatasetQueryAction, DatasetQueryActionArgs
- Sql
Query string - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- Filters
List<Pulumi.
Aws Native. Io TAnalytics. Inputs. Dataset Filter> - Pre-filters applied to message data.
- Sql
Query string - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- Filters
[]Dataset
Filter - Pre-filters applied to message data.
- sql
Query String - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- filters
List<Dataset
Filter> - Pre-filters applied to message data.
- sql
Query string - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- filters
Dataset
Filter[] - Pre-filters applied to message data.
- sql_
query str - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- filters
Sequence[Dataset
Filter] - Pre-filters applied to message data.
- sql
Query String - An "SqlQueryDatasetAction" object that uses an SQL query to automatically create data set contents.
- filters List<Property Map>
- Pre-filters applied to message data.
DatasetResourceConfiguration, DatasetResourceConfigurationArgs
- Compute
Type Pulumi.Aws Native. Io TAnalytics. Dataset Resource Configuration Compute Type - The type of the compute resource used to execute the
containerAction
. Possible values are:ACU_1
(vCPU=4, memory=16 GiB) orACU_2
(vCPU=8, memory=32 GiB). - Volume
Size intIn Gb - The size, in GB, of the persistent storage available to the resource instance used to execute the
containerAction
(min: 1, max: 50).
- Compute
Type DatasetResource Configuration Compute Type - The type of the compute resource used to execute the
containerAction
. Possible values are:ACU_1
(vCPU=4, memory=16 GiB) orACU_2
(vCPU=8, memory=32 GiB). - Volume
Size intIn Gb - The size, in GB, of the persistent storage available to the resource instance used to execute the
containerAction
(min: 1, max: 50).
- compute
Type DatasetResource Configuration Compute Type - The type of the compute resource used to execute the
containerAction
. Possible values are:ACU_1
(vCPU=4, memory=16 GiB) orACU_2
(vCPU=8, memory=32 GiB). - volume
Size IntegerIn Gb - The size, in GB, of the persistent storage available to the resource instance used to execute the
containerAction
(min: 1, max: 50).
- compute
Type DatasetResource Configuration Compute Type - The type of the compute resource used to execute the
containerAction
. Possible values are:ACU_1
(vCPU=4, memory=16 GiB) orACU_2
(vCPU=8, memory=32 GiB). - volume
Size numberIn Gb - The size, in GB, of the persistent storage available to the resource instance used to execute the
containerAction
(min: 1, max: 50).
- compute_
type DatasetResource Configuration Compute Type - The type of the compute resource used to execute the
containerAction
. Possible values are:ACU_1
(vCPU=4, memory=16 GiB) orACU_2
(vCPU=8, memory=32 GiB). - volume_
size_ intin_ gb - The size, in GB, of the persistent storage available to the resource instance used to execute the
containerAction
(min: 1, max: 50).
- compute
Type "ACU_1" | "ACU_2" - The type of the compute resource used to execute the
containerAction
. Possible values are:ACU_1
(vCPU=4, memory=16 GiB) orACU_2
(vCPU=8, memory=32 GiB). - volume
Size NumberIn Gb - The size, in GB, of the persistent storage available to the resource instance used to execute the
containerAction
(min: 1, max: 50).
DatasetResourceConfigurationComputeType, DatasetResourceConfigurationComputeTypeArgs
- Acu1
- ACU_1
- Acu2
- ACU_2
- Dataset
Resource Configuration Compute Type Acu1 - ACU_1
- Dataset
Resource Configuration Compute Type Acu2 - ACU_2
- Acu1
- ACU_1
- Acu2
- ACU_2
- Acu1
- ACU_1
- Acu2
- ACU_2
- ACU1
- ACU_1
- ACU2
- ACU_2
- "ACU_1"
- ACU_1
- "ACU_2"
- ACU_2
DatasetRetentionPeriod, DatasetRetentionPeriodArgs
- Number
Of intDays - The number of days that message data is kept. The
unlimited
parameter must be false. - Unlimited bool
- If true, message data is kept indefinitely.
- Number
Of intDays - The number of days that message data is kept. The
unlimited
parameter must be false. - Unlimited bool
- If true, message data is kept indefinitely.
- number
Of IntegerDays - The number of days that message data is kept. The
unlimited
parameter must be false. - unlimited Boolean
- If true, message data is kept indefinitely.
- number
Of numberDays - The number of days that message data is kept. The
unlimited
parameter must be false. - unlimited boolean
- If true, message data is kept indefinitely.
- number_
of_ intdays - The number of days that message data is kept. The
unlimited
parameter must be false. - unlimited bool
- If true, message data is kept indefinitely.
- number
Of NumberDays - The number of days that message data is kept. The
unlimited
parameter must be false. - unlimited Boolean
- If true, message data is kept indefinitely.
DatasetS3DestinationConfiguration, DatasetS3DestinationConfigurationArgs
- Bucket string
- The name of the S3 bucket to which dataset contents are delivered.
- Key string
The key of the dataset contents object in an S3 bucket. Each object has a key that is a unique identifier. Each object has exactly one key.
You can create a unique key with the following options:
- Use
!{iotanalytics:scheduleTime}
to insert the time of a scheduled SQL query run. - Use
!{iotanalytics:versionId}
to insert a unique hash that identifies a dataset content. - Use
!{iotanalytics:creationTime}
to insert the creation time of a dataset content.
The following example creates a unique key for a CSV file:
dataset/mydataset/!{iotanalytics:scheduleTime}/!{iotanalytics:versionId}.csv
If you don't use
!{iotanalytics:versionId}
to specify the key, you might get duplicate keys. For example, you might have two dataset contents with the samescheduleTime
but differentversionId
s. This means that one dataset content overwrites the other.- Use
- Role
Arn string - The ARN of the role that grants AWS IoT Analytics permission to interact with your Amazon S3 and AWS Glue resources.
- Glue
Configuration Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset Glue Configuration - Configuration information for coordination with AWS Glue , a fully managed extract, transform and load (ETL) service.
- Bucket string
- The name of the S3 bucket to which dataset contents are delivered.
- Key string
The key of the dataset contents object in an S3 bucket. Each object has a key that is a unique identifier. Each object has exactly one key.
You can create a unique key with the following options:
- Use
!{iotanalytics:scheduleTime}
to insert the time of a scheduled SQL query run. - Use
!{iotanalytics:versionId}
to insert a unique hash that identifies a dataset content. - Use
!{iotanalytics:creationTime}
to insert the creation time of a dataset content.
The following example creates a unique key for a CSV file:
dataset/mydataset/!{iotanalytics:scheduleTime}/!{iotanalytics:versionId}.csv
If you don't use
!{iotanalytics:versionId}
to specify the key, you might get duplicate keys. For example, you might have two dataset contents with the samescheduleTime
but differentversionId
s. This means that one dataset content overwrites the other.- Use
- Role
Arn string - The ARN of the role that grants AWS IoT Analytics permission to interact with your Amazon S3 and AWS Glue resources.
- Glue
Configuration DatasetGlue Configuration - Configuration information for coordination with AWS Glue , a fully managed extract, transform and load (ETL) service.
- bucket String
- The name of the S3 bucket to which dataset contents are delivered.
- key String
The key of the dataset contents object in an S3 bucket. Each object has a key that is a unique identifier. Each object has exactly one key.
You can create a unique key with the following options:
- Use
!{iotanalytics:scheduleTime}
to insert the time of a scheduled SQL query run. - Use
!{iotanalytics:versionId}
to insert a unique hash that identifies a dataset content. - Use
!{iotanalytics:creationTime}
to insert the creation time of a dataset content.
The following example creates a unique key for a CSV file:
dataset/mydataset/!{iotanalytics:scheduleTime}/!{iotanalytics:versionId}.csv
If you don't use
!{iotanalytics:versionId}
to specify the key, you might get duplicate keys. For example, you might have two dataset contents with the samescheduleTime
but differentversionId
s. This means that one dataset content overwrites the other.- Use
- role
Arn String - The ARN of the role that grants AWS IoT Analytics permission to interact with your Amazon S3 and AWS Glue resources.
- glue
Configuration DatasetGlue Configuration - Configuration information for coordination with AWS Glue , a fully managed extract, transform and load (ETL) service.
- bucket string
- The name of the S3 bucket to which dataset contents are delivered.
- key string
The key of the dataset contents object in an S3 bucket. Each object has a key that is a unique identifier. Each object has exactly one key.
You can create a unique key with the following options:
- Use
!{iotanalytics:scheduleTime}
to insert the time of a scheduled SQL query run. - Use
!{iotanalytics:versionId}
to insert a unique hash that identifies a dataset content. - Use
!{iotanalytics:creationTime}
to insert the creation time of a dataset content.
The following example creates a unique key for a CSV file:
dataset/mydataset/!{iotanalytics:scheduleTime}/!{iotanalytics:versionId}.csv
If you don't use
!{iotanalytics:versionId}
to specify the key, you might get duplicate keys. For example, you might have two dataset contents with the samescheduleTime
but differentversionId
s. This means that one dataset content overwrites the other.- Use
- role
Arn string - The ARN of the role that grants AWS IoT Analytics permission to interact with your Amazon S3 and AWS Glue resources.
- glue
Configuration DatasetGlue Configuration - Configuration information for coordination with AWS Glue , a fully managed extract, transform and load (ETL) service.
- bucket str
- The name of the S3 bucket to which dataset contents are delivered.
- key str
The key of the dataset contents object in an S3 bucket. Each object has a key that is a unique identifier. Each object has exactly one key.
You can create a unique key with the following options:
- Use
!{iotanalytics:scheduleTime}
to insert the time of a scheduled SQL query run. - Use
!{iotanalytics:versionId}
to insert a unique hash that identifies a dataset content. - Use
!{iotanalytics:creationTime}
to insert the creation time of a dataset content.
The following example creates a unique key for a CSV file:
dataset/mydataset/!{iotanalytics:scheduleTime}/!{iotanalytics:versionId}.csv
If you don't use
!{iotanalytics:versionId}
to specify the key, you might get duplicate keys. For example, you might have two dataset contents with the samescheduleTime
but differentversionId
s. This means that one dataset content overwrites the other.- Use
- role_
arn str - The ARN of the role that grants AWS IoT Analytics permission to interact with your Amazon S3 and AWS Glue resources.
- glue_
configuration DatasetGlue Configuration - Configuration information for coordination with AWS Glue , a fully managed extract, transform and load (ETL) service.
- bucket String
- The name of the S3 bucket to which dataset contents are delivered.
- key String
The key of the dataset contents object in an S3 bucket. Each object has a key that is a unique identifier. Each object has exactly one key.
You can create a unique key with the following options:
- Use
!{iotanalytics:scheduleTime}
to insert the time of a scheduled SQL query run. - Use
!{iotanalytics:versionId}
to insert a unique hash that identifies a dataset content. - Use
!{iotanalytics:creationTime}
to insert the creation time of a dataset content.
The following example creates a unique key for a CSV file:
dataset/mydataset/!{iotanalytics:scheduleTime}/!{iotanalytics:versionId}.csv
If you don't use
!{iotanalytics:versionId}
to specify the key, you might get duplicate keys. For example, you might have two dataset contents with the samescheduleTime
but differentversionId
s. This means that one dataset content overwrites the other.- Use
- role
Arn String - The ARN of the role that grants AWS IoT Analytics permission to interact with your Amazon S3 and AWS Glue resources.
- glue
Configuration Property Map - Configuration information for coordination with AWS Glue , a fully managed extract, transform and load (ETL) service.
DatasetSchedule, DatasetScheduleArgs
- Schedule
Expression string - The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.
- Schedule
Expression string - The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.
- schedule
Expression String - The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.
- schedule
Expression string - The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.
- schedule_
expression str - The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.
- schedule
Expression String - The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.
DatasetTrigger, DatasetTriggerArgs
- Schedule
Pulumi.
Aws Native. Io TAnalytics. Inputs. Dataset Schedule - The "Schedule" when the trigger is initiated.
- Triggering
Dataset Pulumi.Aws Native. Io TAnalytics. Inputs. Dataset Triggering Dataset - Information about the data set whose content generation triggers the new data set content generation.
- Schedule
Dataset
Schedule - The "Schedule" when the trigger is initiated.
- Triggering
Dataset DatasetTriggering Dataset - Information about the data set whose content generation triggers the new data set content generation.
- schedule
Dataset
Schedule - The "Schedule" when the trigger is initiated.
- triggering
Dataset DatasetTriggering Dataset - Information about the data set whose content generation triggers the new data set content generation.
- schedule
Dataset
Schedule - The "Schedule" when the trigger is initiated.
- triggering
Dataset DatasetTriggering Dataset - Information about the data set whose content generation triggers the new data set content generation.
- schedule
Dataset
Schedule - The "Schedule" when the trigger is initiated.
- triggering_
dataset DatasetTriggering Dataset - Information about the data set whose content generation triggers the new data set content generation.
- schedule Property Map
- The "Schedule" when the trigger is initiated.
- triggering
Dataset Property Map - Information about the data set whose content generation triggers the new data set content generation.
DatasetTriggeringDataset, DatasetTriggeringDatasetArgs
- Dataset
Name string - The name of the data set whose content generation triggers the new data set content generation.
- Dataset
Name string - The name of the data set whose content generation triggers the new data set content generation.
- dataset
Name String - The name of the data set whose content generation triggers the new data set content generation.
- dataset
Name string - The name of the data set whose content generation triggers the new data set content generation.
- dataset_
name str - The name of the data set whose content generation triggers the new data set content generation.
- dataset
Name String - The name of the data set whose content generation triggers the new data set content generation.
DatasetVariable, DatasetVariableArgs
- Variable
Name string - The name of the variable.
- Dataset
Content Pulumi.Version Value Aws Native. Io TAnalytics. Inputs. Dataset Content Version Value - The value of the variable as a structure that specifies a dataset content version.
- Double
Value double - The value of the variable as a double (numeric).
- Output
File Pulumi.Uri Value Aws Native. Io TAnalytics. Inputs. Dataset Output File Uri Value - The value of the variable as a structure that specifies an output file URI.
- String
Value string - The value of the variable as a string.
- Variable
Name string - The name of the variable.
- Dataset
Content DatasetVersion Value Content Version Value - The value of the variable as a structure that specifies a dataset content version.
- Double
Value float64 - The value of the variable as a double (numeric).
- Output
File DatasetUri Value Output File Uri Value - The value of the variable as a structure that specifies an output file URI.
- String
Value string - The value of the variable as a string.
- variable
Name String - The name of the variable.
- dataset
Content DatasetVersion Value Content Version Value - The value of the variable as a structure that specifies a dataset content version.
- double
Value Double - The value of the variable as a double (numeric).
- output
File DatasetUri Value Output File Uri Value - The value of the variable as a structure that specifies an output file URI.
- string
Value String - The value of the variable as a string.
- variable
Name string - The name of the variable.
- dataset
Content DatasetVersion Value Content Version Value - The value of the variable as a structure that specifies a dataset content version.
- double
Value number - The value of the variable as a double (numeric).
- output
File DatasetUri Value Output File Uri Value - The value of the variable as a structure that specifies an output file URI.
- string
Value string - The value of the variable as a string.
- variable_
name str - The name of the variable.
- dataset_
content_ Datasetversion_ value Content Version Value - The value of the variable as a structure that specifies a dataset content version.
- double_
value float - The value of the variable as a double (numeric).
- output_
file_ Dataseturi_ value Output File Uri Value - The value of the variable as a structure that specifies an output file URI.
- string_
value str - The value of the variable as a string.
- variable
Name String - The name of the variable.
- dataset
Content Property MapVersion Value - The value of the variable as a structure that specifies a dataset content version.
- double
Value Number - The value of the variable as a double (numeric).
- output
File Property MapUri Value - The value of the variable as a structure that specifies an output file URI.
- string
Value String - The value of the variable as a string.
DatasetVersioningConfiguration, DatasetVersioningConfigurationArgs
- Max
Versions int - How many versions of dataset contents are kept. The
unlimited
parameter must befalse
. - Unlimited bool
- If true, unlimited versions of dataset contents are kept.
- Max
Versions int - How many versions of dataset contents are kept. The
unlimited
parameter must befalse
. - Unlimited bool
- If true, unlimited versions of dataset contents are kept.
- max
Versions Integer - How many versions of dataset contents are kept. The
unlimited
parameter must befalse
. - unlimited Boolean
- If true, unlimited versions of dataset contents are kept.
- max
Versions number - How many versions of dataset contents are kept. The
unlimited
parameter must befalse
. - unlimited boolean
- If true, unlimited versions of dataset contents are kept.
- max_
versions int - How many versions of dataset contents are kept. The
unlimited
parameter must befalse
. - unlimited bool
- If true, unlimited versions of dataset contents are kept.
- max
Versions Number - How many versions of dataset contents are kept. The
unlimited
parameter must befalse
. - unlimited Boolean
- If true, unlimited versions of dataset contents are kept.
Tag, TagArgs
Package Details
- Repository
- AWS Native pulumi/pulumi-aws-native
- License
- Apache-2.0
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