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AWS Native is in preview. AWS Classic is fully supported.

AWS Native v0.79.0 published on Monday, Oct 2, 2023 by Pulumi
pulumi/pulumi-aws-native

aws-native.iotanalytics.Dataset

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AWS Native is in preview. AWS Classic is fully supported.

AWS Native v0.79.0 published on Monday, Oct 2, 2023 by Pulumi
pulumi/pulumi-aws-native

    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{
interface{}{
ActionName: pulumi.String("SqlAction"),
QueryAction: &iotanalytics.DatasetQueryActionArgs{
SqlQuery: pulumi.String("select * from Datastore"),
},
},
},
Triggers: []iotanalytics.DatasetTriggerArgs{
{
Schedule: {
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=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="SqlAction",
        query_action=aws_native.iotanalytics.DatasetQueryActionArgs(
            sql_query="select * from Datastore",
        ),
    )],
    triggers=[aws_native.iotanalytics.DatasetTriggerArgs(
        schedule=aws_native.iotanalytics.DatasetScheduleArgs(
            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{
interface{}{
ActionName: pulumi.String("SqlAction"),
QueryAction: &iotanalytics.DatasetQueryActionArgs{
SqlQuery: pulumi.String("select * from Datastore"),
},
},
},
Triggers: []iotanalytics.DatasetTriggerArgs{
{
Schedule: {
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=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="SqlAction",
        query_action=aws_native.iotanalytics.DatasetQueryActionArgs(
            sql_query="select * from Datastore",
        ),
    )],
    triggers=[aws_native.iotanalytics.DatasetTriggerArgs(
        schedule=aws_native.iotanalytics.DatasetScheduleArgs(
            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.IoTAnalytics.Inputs.DatasetTagArgs
            {
                Key = "keyname1",
                Value = "value1",
            },
            new AwsNative.IoTAnalytics.Inputs.DatasetTagArgs
            {
                Key = "keyname2",
                Value = "value2",
            },
        },
    });

});

    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("ComplexSQLDataset"),
Actions: iotanalytics.DatasetActionArray{
interface{}{
ActionName: pulumi.String("SqlAction"),
QueryAction: interface{}{
SqlQuery: pulumi.String("select * from Datastore"),
Filters: iotanalytics.DatasetFilterArray{
&iotanalytics.DatasetFilterArgs{
DeltaTime: &iotanalytics.DatasetDeltaTimeArgs{
OffsetSeconds: pulumi.Int(1),
TimeExpression: pulumi.String("timestamp"),
},
},
},
},
},
},
Triggers: []iotanalytics.DatasetTriggerArgs{
{
Schedule: {
ScheduleExpression: pulumi.String("cron(0 12 * * ? *)"),
},
},
},
RetentionPeriod: &iotanalytics.DatasetRetentionPeriodArgs{
Unlimited: pulumi.Bool(false),
NumberOfDays: pulumi.Int(10),
},
Tags: []iotanalytics.DatasetTagArgs{
{
Key: pulumi.String("keyname1"),
Value: pulumi.String("value1"),
},
{
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=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="SqlAction",
        query_action=aws_native.iotanalytics.DatasetQueryActionArgs(
            sql_query="select * from Datastore",
            filters=[aws_native.iotanalytics.DatasetFilterArgs(
                delta_time=aws_native.iotanalytics.DatasetDeltaTimeArgs(
                    offset_seconds=1,
                    time_expression="timestamp",
                ),
            )],
        ),
    )],
    triggers=[aws_native.iotanalytics.DatasetTriggerArgs(
        schedule=aws_native.iotanalytics.DatasetScheduleArgs(
            schedule_expression="cron(0 12 * * ? *)",
        ),
    )],
    retention_period=aws_native.iotanalytics.DatasetRetentionPeriodArgs(
        unlimited=False,
        number_of_days=10,
    ),
    tags=[
        aws_native.iotanalytics.DatasetTagArgs(
            key="keyname1",
            value="value1",
        ),
        aws_native.iotanalytics.DatasetTagArgs(
            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.IoTAnalytics.Inputs.DatasetTagArgs
            {
                Key = "keyname1",
                Value = "value1",
            },
            new AwsNative.IoTAnalytics.Inputs.DatasetTagArgs
            {
                Key = "keyname2",
                Value = "value2",
            },
        },
    });

});

    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("ComplexSQLDataset"),
Actions: iotanalytics.DatasetActionArray{
interface{}{
ActionName: pulumi.String("SqlAction"),
QueryAction: interface{}{
SqlQuery: pulumi.String("select * from Datastore"),
Filters: iotanalytics.DatasetFilterArray{
&iotanalytics.DatasetFilterArgs{
DeltaTime: &iotanalytics.DatasetDeltaTimeArgs{
OffsetSeconds: pulumi.Int(1),
TimeExpression: pulumi.String("timestamp"),
},
},
},
},
},
},
Triggers: []iotanalytics.DatasetTriggerArgs{
{
Schedule: {
ScheduleExpression: pulumi.String("cron(0 12 * * ? *)"),
},
},
},
RetentionPeriod: &iotanalytics.DatasetRetentionPeriodArgs{
Unlimited: pulumi.Bool(false),
NumberOfDays: pulumi.Int(10),
},
Tags: []iotanalytics.DatasetTagArgs{
{
Key: pulumi.String("keyname1"),
Value: pulumi.String("value1"),
},
{
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=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="SqlAction",
        query_action=aws_native.iotanalytics.DatasetQueryActionArgs(
            sql_query="select * from Datastore",
            filters=[aws_native.iotanalytics.DatasetFilterArgs(
                delta_time=aws_native.iotanalytics.DatasetDeltaTimeArgs(
                    offset_seconds=1,
                    time_expression="timestamp",
                ),
            )],
        ),
    )],
    triggers=[aws_native.iotanalytics.DatasetTriggerArgs(
        schedule=aws_native.iotanalytics.DatasetScheduleArgs(
            schedule_expression="cron(0 12 * * ? *)",
        ),
    )],
    retention_period=aws_native.iotanalytics.DatasetRetentionPeriodArgs(
        unlimited=False,
        number_of_days=10,
    ),
    tags=[
        aws_native.iotanalytics.DatasetTagArgs(
            key="keyname1",
            value="value1",
        ),
        aws_native.iotanalytics.DatasetTagArgs(
            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

    new Dataset(name: string, args: DatasetArgs, opts?: CustomResourceOptions);
    @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[DatasetTagArgs]] = None,
            triggers: Optional[Sequence[DatasetTriggerArgs]] = None,
            versioning_configuration: Optional[DatasetVersioningConfigurationArgs] = None)
@overload
def Dataset(resource_name: str,
            args: DatasetArgs,
            opts: Optional[ResourceOptions] = 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.
    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:

    Outputs

    All input properties are implicitly available as output properties. Additionally, the Dataset resource produces the following output properties:

    Id string

    The provider-assigned unique ID for this managed resource.

    Id string

    The provider-assigned unique ID for this managed resource.

    id String

    The provider-assigned unique ID for this managed resource.

    id string

    The provider-assigned unique ID for this managed resource.

    id str

    The provider-assigned unique ID for this managed resource.

    id String

    The provider-assigned unique ID for this managed resource.

    Supporting Types

    DatasetAction, DatasetActionArgs

    DatasetContainerAction, DatasetContainerActionArgs

    DatasetContentDeliveryRule, DatasetContentDeliveryRuleArgs

    DatasetContentDeliveryRuleDestination, DatasetContentDeliveryRuleDestinationArgs

    DatasetContentVersionValue, DatasetContentVersionValueArgs

    DatasetDeltaTime, DatasetDeltaTimeArgs

    DatasetDeltaTimeSessionWindowConfiguration, DatasetDeltaTimeSessionWindowConfigurationArgs

    DatasetFilter, DatasetFilterArgs

    DatasetGlueConfiguration, DatasetGlueConfigurationArgs

    DatabaseName string
    TableName string
    DatabaseName string
    TableName string
    databaseName String
    tableName String
    databaseName string
    tableName string
    databaseName String
    tableName String

    DatasetIotEventsDestinationConfiguration, DatasetIotEventsDestinationConfigurationArgs

    InputName string
    RoleArn string
    InputName string
    RoleArn string
    inputName String
    roleArn String
    inputName string
    roleArn string
    inputName String
    roleArn String

    DatasetLateDataRule, DatasetLateDataRuleArgs

    DatasetLateDataRuleConfiguration, DatasetLateDataRuleConfigurationArgs

    DatasetOutputFileUriValue, DatasetOutputFileUriValueArgs

    FileName string
    FileName string
    fileName String
    fileName string
    fileName String

    DatasetQueryAction, DatasetQueryActionArgs

    DatasetResourceConfiguration, DatasetResourceConfigurationArgs

    DatasetResourceConfigurationComputeType, DatasetResourceConfigurationComputeTypeArgs

    Acu1
    ACU_1
    Acu2
    ACU_2
    DatasetResourceConfigurationComputeTypeAcu1
    ACU_1
    DatasetResourceConfigurationComputeTypeAcu2
    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

    numberOfDays Integer
    unlimited Boolean
    numberOfDays number
    unlimited boolean
    numberOfDays Number
    unlimited Boolean

    DatasetS3DestinationConfiguration, DatasetS3DestinationConfigurationArgs

    DatasetSchedule, DatasetScheduleArgs

    DatasetTag, DatasetTagArgs

    Key string
    Value string
    Key string
    Value string
    key String
    value String
    key string
    value string
    key str
    value str
    key String
    value String

    DatasetTrigger, DatasetTriggerArgs

    DatasetTriggeringDataset, DatasetTriggeringDatasetArgs

    DatasetVariable, DatasetVariableArgs

    DatasetVersioningConfiguration, DatasetVersioningConfigurationArgs

    maxVersions Integer
    unlimited Boolean
    maxVersions number
    unlimited boolean
    maxVersions Number
    unlimited Boolean

    Package Details

    Repository
    AWS Native pulumi/pulumi-aws-native
    License
    Apache-2.0
    aws-native logo

    AWS Native is in preview. AWS Classic is fully supported.

    AWS Native v0.79.0 published on Monday, Oct 2, 2023 by Pulumi
    pulumi/pulumi-aws-native