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AWS Native v0.55.0, Mar 28 23

aws-native.iotanalytics.Dataset

Resource Type definition for AWS::IoTAnalytics::Dataset

Example Usage

Example

using System.Collections.Generic;
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 * * ? *)",
                },
            },
        },
    });

});

Coming soon!

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 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 * * ? *)",
                },
            },
        },
    });

});

Coming soon!

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 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",
            },
        },
    });

});

Coming soon!

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 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",
            },
        },
    });

});

Coming soon!

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 Pulumi;
using AwsNative = Pulumi.AwsNative;

return await Deployment.RunAsync(() => 
{
    var containerDataset = new AwsNative.IoTAnalytics.Dataset("containerDataset", new()
    {
        DatasetName = "SimpleContainerDataset",
        Actions = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
            {
                ActionName = "ContainerAction",
                ContainerAction = new AwsNative.IoTAnalytics.Inputs.DatasetContainerActionArgs
                {
                    Image = "<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
                    ExecutionRoleArn = "arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
                    ResourceConfiguration = new AwsNative.IoTAnalytics.Inputs.DatasetResourceConfigurationArgs
                    {
                        ComputeType = AwsNative.IoTAnalytics.DatasetResourceConfigurationComputeType.Acu1,
                        VolumeSizeInGB = 10,
                    },
                    Variables = new[]
                    {
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable1",
                            StringValue = "StringValue",
                        },
                    },
                },
            },
        },
        Triggers = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetTriggerArgs
            {
                Schedule = new AwsNative.IoTAnalytics.Inputs.DatasetScheduleArgs
                {
                    ScheduleExpression = "cron(0 12 * * ? *)",
                },
            },
        },
    });

});

Coming soon!

Coming soon!

import pulumi
import pulumi_aws_native as aws_native

container_dataset = aws_native.iotanalytics.Dataset("containerDataset",
    dataset_name="SimpleContainerDataset",
    actions=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="ContainerAction",
        container_action=aws_native.iotanalytics.DatasetContainerActionArgs(
            image="<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
            execution_role_arn="arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
            resource_configuration=aws_native.iotanalytics.DatasetResourceConfigurationArgs(
                compute_type=aws_native.iotanalytics.DatasetResourceConfigurationComputeType.ACU1,
                volume_size_in_gb=10,
            ),
            variables=[aws_native.iotanalytics.DatasetVariableArgs(
                variable_name="Variable1",
                string_value="StringValue",
            )],
        ),
    )],
    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 containerDataset = new aws_native.iotanalytics.Dataset("containerDataset", {
    datasetName: "SimpleContainerDataset",
    actions: [{
        actionName: "ContainerAction",
        containerAction: {
            image: "<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
            executionRoleArn: "arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
            resourceConfiguration: {
                computeType: aws_native.iotanalytics.DatasetResourceConfigurationComputeType.Acu1,
                volumeSizeInGB: 10,
            },
            variables: [{
                variableName: "Variable1",
                stringValue: "StringValue",
            }],
        },
    }],
    triggers: [{
        schedule: {
            scheduleExpression: "cron(0 12 * * ? *)",
        },
    }],
});

Coming soon!

Example

using System.Collections.Generic;
using Pulumi;
using AwsNative = Pulumi.AwsNative;

return await Deployment.RunAsync(() => 
{
    var containerDataset = new AwsNative.IoTAnalytics.Dataset("containerDataset", new()
    {
        DatasetName = "SimpleContainerDataset",
        Actions = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
            {
                ActionName = "ContainerAction",
                ContainerAction = new AwsNative.IoTAnalytics.Inputs.DatasetContainerActionArgs
                {
                    Image = "<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
                    ExecutionRoleArn = "arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
                    ResourceConfiguration = new AwsNative.IoTAnalytics.Inputs.DatasetResourceConfigurationArgs
                    {
                        ComputeType = AwsNative.IoTAnalytics.DatasetResourceConfigurationComputeType.Acu1,
                        VolumeSizeInGB = 10,
                    },
                    Variables = new[]
                    {
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable1",
                            StringValue = "StringValue",
                        },
                    },
                },
            },
        },
        Triggers = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetTriggerArgs
            {
                Schedule = new AwsNative.IoTAnalytics.Inputs.DatasetScheduleArgs
                {
                    ScheduleExpression = "cron(0 12 * * ? *)",
                },
            },
        },
    });

});

Coming soon!

Coming soon!

import pulumi
import pulumi_aws_native as aws_native

container_dataset = aws_native.iotanalytics.Dataset("containerDataset",
    dataset_name="SimpleContainerDataset",
    actions=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="ContainerAction",
        container_action=aws_native.iotanalytics.DatasetContainerActionArgs(
            image="<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
            execution_role_arn="arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
            resource_configuration=aws_native.iotanalytics.DatasetResourceConfigurationArgs(
                compute_type=aws_native.iotanalytics.DatasetResourceConfigurationComputeType.ACU1,
                volume_size_in_gb=10,
            ),
            variables=[aws_native.iotanalytics.DatasetVariableArgs(
                variable_name="Variable1",
                string_value="StringValue",
            )],
        ),
    )],
    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 containerDataset = new aws_native.iotanalytics.Dataset("containerDataset", {
    datasetName: "SimpleContainerDataset",
    actions: [{
        actionName: "ContainerAction",
        containerAction: {
            image: "<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
            executionRoleArn: "arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
            resourceConfiguration: {
                computeType: aws_native.iotanalytics.DatasetResourceConfigurationComputeType.Acu1,
                volumeSizeInGB: 10,
            },
            variables: [{
                variableName: "Variable1",
                stringValue: "StringValue",
            }],
        },
    }],
    triggers: [{
        schedule: {
            scheduleExpression: "cron(0 12 * * ? *)",
        },
    }],
});

Coming soon!

Example

using System.Collections.Generic;
using Pulumi;
using AwsNative = Pulumi.AwsNative;

return await Deployment.RunAsync(() => 
{
    var triggeringDataset = new AwsNative.IoTAnalytics.Dataset("triggeringDataset", new()
    {
        DatasetName = "TriggeringDataset",
        Actions = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
            {
                ActionName = "SqlAction",
                QueryAction = new AwsNative.IoTAnalytics.Inputs.DatasetQueryActionArgs
                {
                    SqlQuery = "select * from Datastore",
                },
            },
        },
    });

    var containerDataset = new AwsNative.IoTAnalytics.Dataset("containerDataset", new()
    {
        DatasetName = "ComplexContainerDataset",
        Actions = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
            {
                ActionName = "ContainerAction",
                ContainerAction = new AwsNative.IoTAnalytics.Inputs.DatasetContainerActionArgs
                {
                    Image = "<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
                    ExecutionRoleArn = "arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
                    ResourceConfiguration = new AwsNative.IoTAnalytics.Inputs.DatasetResourceConfigurationArgs
                    {
                        ComputeType = AwsNative.IoTAnalytics.DatasetResourceConfigurationComputeType.Acu1,
                        VolumeSizeInGB = 10,
                    },
                    Variables = new[]
                    {
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable1",
                            StringValue = "StringValue",
                        },
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable2",
                            DoubleValue = 1,
                        },
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable3",
                            DatasetContentVersionValue = new AwsNative.IoTAnalytics.Inputs.DatasetContentVersionValueArgs
                            {
                                DatasetName = "BasicDataset",
                            },
                        },
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable4",
                            OutputFileUriValue = new AwsNative.IoTAnalytics.Inputs.DatasetOutputFileUriValueArgs
                            {
                                FileName = "fileName",
                            },
                        },
                    },
                },
            },
        },
        Triggers = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetTriggerArgs
            {
                TriggeringDataset = new AwsNative.IoTAnalytics.Inputs.DatasetTriggeringDatasetArgs
                {
                    DatasetName = "TriggeringDataset",
                },
            },
        },
    }, new CustomResourceOptions
    {
        DependsOn = new[]
        {
            triggeringDataset,
        },
    });

});

Coming soon!

Coming soon!

import pulumi
import pulumi_aws_native as aws_native

triggering_dataset = aws_native.iotanalytics.Dataset("triggeringDataset",
    dataset_name="TriggeringDataset",
    actions=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="SqlAction",
        query_action=aws_native.iotanalytics.DatasetQueryActionArgs(
            sql_query="select * from Datastore",
        ),
    )])
container_dataset = aws_native.iotanalytics.Dataset("containerDataset",
    dataset_name="ComplexContainerDataset",
    actions=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="ContainerAction",
        container_action=aws_native.iotanalytics.DatasetContainerActionArgs(
            image="<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
            execution_role_arn="arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
            resource_configuration=aws_native.iotanalytics.DatasetResourceConfigurationArgs(
                compute_type=aws_native.iotanalytics.DatasetResourceConfigurationComputeType.ACU1,
                volume_size_in_gb=10,
            ),
            variables=[
                aws_native.iotanalytics.DatasetVariableArgs(
                    variable_name="Variable1",
                    string_value="StringValue",
                ),
                aws_native.iotanalytics.DatasetVariableArgs(
                    variable_name="Variable2",
                    double_value=1,
                ),
                aws_native.iotanalytics.DatasetVariableArgs(
                    variable_name="Variable3",
                    dataset_content_version_value=aws_native.iotanalytics.DatasetContentVersionValueArgs(
                        dataset_name="BasicDataset",
                    ),
                ),
                aws_native.iotanalytics.DatasetVariableArgs(
                    variable_name="Variable4",
                    output_file_uri_value=aws_native.iotanalytics.DatasetOutputFileUriValueArgs(
                        file_name="fileName",
                    ),
                ),
            ],
        ),
    )],
    triggers=[aws_native.iotanalytics.DatasetTriggerArgs(
        triggering_dataset=aws_native.iotanalytics.DatasetTriggeringDatasetArgs(
            dataset_name="TriggeringDataset",
        ),
    )],
    opts=pulumi.ResourceOptions(depends_on=[triggering_dataset]))
import * as pulumi from "@pulumi/pulumi";
import * as aws_native from "@pulumi/aws-native";

const triggeringDataset = new aws_native.iotanalytics.Dataset("triggeringDataset", {
    datasetName: "TriggeringDataset",
    actions: [{
        actionName: "SqlAction",
        queryAction: {
            sqlQuery: "select * from Datastore",
        },
    }],
});
const containerDataset = new aws_native.iotanalytics.Dataset("containerDataset", {
    datasetName: "ComplexContainerDataset",
    actions: [{
        actionName: "ContainerAction",
        containerAction: {
            image: "<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
            executionRoleArn: "arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
            resourceConfiguration: {
                computeType: aws_native.iotanalytics.DatasetResourceConfigurationComputeType.Acu1,
                volumeSizeInGB: 10,
            },
            variables: [
                {
                    variableName: "Variable1",
                    stringValue: "StringValue",
                },
                {
                    variableName: "Variable2",
                    doubleValue: 1,
                },
                {
                    variableName: "Variable3",
                    datasetContentVersionValue: {
                        datasetName: "BasicDataset",
                    },
                },
                {
                    variableName: "Variable4",
                    outputFileUriValue: {
                        fileName: "fileName",
                    },
                },
            ],
        },
    }],
    triggers: [{
        triggeringDataset: {
            datasetName: "TriggeringDataset",
        },
    }],
}, {
    dependsOn: [triggeringDataset],
});

Coming soon!

Example

using System.Collections.Generic;
using Pulumi;
using AwsNative = Pulumi.AwsNative;

return await Deployment.RunAsync(() => 
{
    var triggeringDataset = new AwsNative.IoTAnalytics.Dataset("triggeringDataset", new()
    {
        DatasetName = "TriggeringDataset",
        Actions = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
            {
                ActionName = "SqlAction",
                QueryAction = new AwsNative.IoTAnalytics.Inputs.DatasetQueryActionArgs
                {
                    SqlQuery = "select * from Datastore",
                },
            },
        },
    });

    var containerDataset = new AwsNative.IoTAnalytics.Dataset("containerDataset", new()
    {
        DatasetName = "ComplexContainerDataset",
        Actions = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetActionArgs
            {
                ActionName = "ContainerAction",
                ContainerAction = new AwsNative.IoTAnalytics.Inputs.DatasetContainerActionArgs
                {
                    Image = "<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
                    ExecutionRoleArn = "arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
                    ResourceConfiguration = new AwsNative.IoTAnalytics.Inputs.DatasetResourceConfigurationArgs
                    {
                        ComputeType = AwsNative.IoTAnalytics.DatasetResourceConfigurationComputeType.Acu1,
                        VolumeSizeInGB = 10,
                    },
                    Variables = new[]
                    {
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable1",
                            StringValue = "StringValue",
                        },
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable2",
                            DoubleValue = 1,
                        },
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable3",
                            DatasetContentVersionValue = new AwsNative.IoTAnalytics.Inputs.DatasetContentVersionValueArgs
                            {
                                DatasetName = "BasicDataset",
                            },
                        },
                        new AwsNative.IoTAnalytics.Inputs.DatasetVariableArgs
                        {
                            VariableName = "Variable4",
                            OutputFileUriValue = new AwsNative.IoTAnalytics.Inputs.DatasetOutputFileUriValueArgs
                            {
                                FileName = "fileName",
                            },
                        },
                    },
                },
            },
        },
        Triggers = new[]
        {
            new AwsNative.IoTAnalytics.Inputs.DatasetTriggerArgs
            {
                TriggeringDataset = new AwsNative.IoTAnalytics.Inputs.DatasetTriggeringDatasetArgs
                {
                    DatasetName = "TriggeringDataset",
                },
            },
        },
    }, new CustomResourceOptions
    {
        DependsOn = new[]
        {
            triggeringDataset,
        },
    });

});

Coming soon!

Coming soon!

import pulumi
import pulumi_aws_native as aws_native

triggering_dataset = aws_native.iotanalytics.Dataset("triggeringDataset",
    dataset_name="TriggeringDataset",
    actions=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="SqlAction",
        query_action=aws_native.iotanalytics.DatasetQueryActionArgs(
            sql_query="select * from Datastore",
        ),
    )])
container_dataset = aws_native.iotanalytics.Dataset("containerDataset",
    dataset_name="ComplexContainerDataset",
    actions=[aws_native.iotanalytics.DatasetActionArgs(
        action_name="ContainerAction",
        container_action=aws_native.iotanalytics.DatasetContainerActionArgs(
            image="<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
            execution_role_arn="arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
            resource_configuration=aws_native.iotanalytics.DatasetResourceConfigurationArgs(
                compute_type=aws_native.iotanalytics.DatasetResourceConfigurationComputeType.ACU1,
                volume_size_in_gb=10,
            ),
            variables=[
                aws_native.iotanalytics.DatasetVariableArgs(
                    variable_name="Variable1",
                    string_value="StringValue",
                ),
                aws_native.iotanalytics.DatasetVariableArgs(
                    variable_name="Variable2",
                    double_value=1,
                ),
                aws_native.iotanalytics.DatasetVariableArgs(
                    variable_name="Variable3",
                    dataset_content_version_value=aws_native.iotanalytics.DatasetContentVersionValueArgs(
                        dataset_name="BasicDataset",
                    ),
                ),
                aws_native.iotanalytics.DatasetVariableArgs(
                    variable_name="Variable4",
                    output_file_uri_value=aws_native.iotanalytics.DatasetOutputFileUriValueArgs(
                        file_name="fileName",
                    ),
                ),
            ],
        ),
    )],
    triggers=[aws_native.iotanalytics.DatasetTriggerArgs(
        triggering_dataset=aws_native.iotanalytics.DatasetTriggeringDatasetArgs(
            dataset_name="TriggeringDataset",
        ),
    )],
    opts=pulumi.ResourceOptions(depends_on=[triggering_dataset]))
import * as pulumi from "@pulumi/pulumi";
import * as aws_native from "@pulumi/aws-native";

const triggeringDataset = new aws_native.iotanalytics.Dataset("triggeringDataset", {
    datasetName: "TriggeringDataset",
    actions: [{
        actionName: "SqlAction",
        queryAction: {
            sqlQuery: "select * from Datastore",
        },
    }],
});
const containerDataset = new aws_native.iotanalytics.Dataset("containerDataset", {
    datasetName: "ComplexContainerDataset",
    actions: [{
        actionName: "ContainerAction",
        containerAction: {
            image: "<your_Account_Id>.dkr.ecr.us-east-1.amazonaws.com/sampleimage",
            executionRoleArn: "arn:aws:iam::<your_Account_Id>:role/ExecutionRole",
            resourceConfiguration: {
                computeType: aws_native.iotanalytics.DatasetResourceConfigurationComputeType.Acu1,
                volumeSizeInGB: 10,
            },
            variables: [
                {
                    variableName: "Variable1",
                    stringValue: "StringValue",
                },
                {
                    variableName: "Variable2",
                    doubleValue: 1,
                },
                {
                    variableName: "Variable3",
                    datasetContentVersionValue: {
                        datasetName: "BasicDataset",
                    },
                },
                {
                    variableName: "Variable4",
                    outputFileUriValue: {
                        fileName: "fileName",
                    },
                },
            ],
        },
    }],
    triggers: [{
        triggeringDataset: {
            datasetName: "TriggeringDataset",
        },
    }],
}, {
    dependsOn: [triggeringDataset],
});

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

DatasetContainerAction

DatasetContentDeliveryRule

DatasetContentDeliveryRuleDestination

DatasetContentVersionValue

DatasetDeltaTime

DatasetDeltaTimeSessionWindowConfiguration

DatasetFilter

DatasetGlueConfiguration

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

DatasetIotEventsDestinationConfiguration

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

DatasetLateDataRule

DatasetLateDataRuleConfiguration

DatasetOutputFileUriValue

FileName string
FileName string
fileName String
fileName string
fileName String

DatasetQueryAction

DatasetResourceConfiguration

DatasetResourceConfigurationComputeType

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

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

DatasetS3DestinationConfiguration

DatasetSchedule

DatasetTag

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

DatasetTriggeringDataset

DatasetVariable

DatasetVersioningConfiguration

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