AWS::IoTAnalytics::Dataset
The AWS::IoTAnalytics::Dataset resource stores data retrieved from a data store by applying a
queryAction
(an SQL query) or a containerAction
(executing a containerized application).
The data set can be populated manually by calling CreateDatasetContent
or automatically according
to a trigger
you specify. For more information, see
How to Use AWS IoT Analytics in the
AWS IoT Analytics User Guide.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::IoTAnalytics::Dataset", "Properties" : { "Actions" :
[ Action, ... ]
, "ContentDeliveryRules" :[ DatasetContentDeliveryRule, ... ]
, "DatasetName" :String
, "LateDataRules" :[ LateDataRule, ... ]
, "RetentionPeriod" :RetentionPeriod
, "Tags" :[ Tag, ... ]
, "Triggers" :[ Trigger, ... ]
, "VersioningConfiguration" :VersioningConfiguration
} }
YAML
Type: AWS::IoTAnalytics::Dataset Properties: Actions:
- Action
ContentDeliveryRules:- DatasetContentDeliveryRule
DatasetName:String
LateDataRules:- LateDataRule
RetentionPeriod:RetentionPeriod
Tags:- Tag
Triggers:- Trigger
VersioningConfiguration:VersioningConfiguration
Properties
Actions
-
The
DatasetAction
objects that automatically create the dataset contents.Required: Yes
Type: Array of Action
Minimum:
1
Maximum:
1
Update requires: No interruption
ContentDeliveryRules
-
When dataset contents are created they are delivered to destinations specified here.
Required: No
Type: Array of DatasetContentDeliveryRule
Minimum:
0
Maximum:
20
Update requires: No interruption
DatasetName
-
The name of the dataset.
Required: No
Type: String
Pattern:
(^(?!_{2}))(^[a-zA-Z0-9_]+$)
Minimum:
1
Maximum:
128
Update requires: Replacement
LateDataRules
-
A list of data rules that send notifications to CloudWatch, when data arrives late. To specify
lateDataRules
, the dataset must use a DeltaTimer filter.Required: No
Type: Array of LateDataRule
Minimum:
1
Maximum:
1
Update requires: No interruption
RetentionPeriod
-
Optional. How long, in days, message data is kept for the dataset.
Required: No
Type: RetentionPeriod
Update requires: No interruption
-
Metadata which can be used to manage the data set.
For more information, see Tag.
Required: No
Type: Array of Tag
Minimum:
1
Maximum:
50
Update requires: No interruption
Triggers
-
The
DatasetTrigger
objects that specify when the dataset is automatically updated.Required: No
Type: Array of Trigger
Minimum:
0
Maximum:
5
Update requires: No interruption
VersioningConfiguration
-
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.Required: No
Type: VersioningConfiguration
Update requires: No interruption
Examples
Simple SQL Dataset
The following example creates a simple SQL dataset.
JSON
{ "Description": "Create a simple SQL Dataset", "Resources": { "Dataset": { "Type": "AWS::IoTAnalytics::Dataset", "Properties": { "DatasetName": "SimpleSQLDataset", "Actions": [ { "ActionName": "SqlAction", "QueryAction": { "SqlQuery": "select * from Datastore" } } ], "Triggers": [ { "Schedule": { "ScheduleExpression": "cron(0 12 * * ? *)" } } ] } } } }
YAML
--- Description: "Create a simple SQL Dataset" Resources: Dataset: Type: "AWS::IoTAnalytics::Dataset" Properties: DatasetName: "SimpleSQLDataset" Actions: - ActionName: "SqlAction" QueryAction: SqlQuery: "select * from Datastore" Triggers: - Schedule: ScheduleExpression: "cron(0 12 * * ? *)"
Complex SQL Dataset
The following example creates a complex SQL dataset.
JSON
{ "Description": "Create a complex SQL Dataset", "Resources": { "Dataset": { "Type": "AWS::IoTAnalytics::Dataset", "Properties": { "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" } ] } } } }
YAML
--- Description: "Create a complex SQL Dataset" Resources: Dataset: Type: "AWS::IoTAnalytics::Dataset" Properties: 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"
Simple Container Dataset
The following example creates a simple Container dataset.
JSON
{ "Description": "Create a simple container Dataset", "Resources": { "ContainerDataset": { "Type": "AWS::IoTAnalytics::Dataset", "Properties": { "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": "ACU_1", "VolumeSizeInGB": 10 }, "Variables": [ { "VariableName": "Variable1", "StringValue": "StringValue" } ] } } ], "Triggers": [ { "Schedule": { "ScheduleExpression": "cron(0 12 * * ? *)" } } ] } } } }
YAML
--- Description: "Create a simple container Dataset" Resources: ContainerDataset: Type: "AWS::IoTAnalytics::Dataset" Properties: 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: "ACU_1" VolumeSizeInGB: 10 Variables: - VariableName: "Variable1" StringValue: StringValue Triggers: - Schedule: ScheduleExpression: "cron(0 12 * * ? *)"
Complex Container Dataset
The following example creates a complex Container dataset.
JSON
{ "Description": "Create a complex container Dataset", "Resources": { "TriggeringDataset": { "Type": "AWS::IoTAnalytics::Dataset", "Properties": { "DatasetName": "TriggeringDataset", "Actions": [ { "ActionName": "SqlAction", "QueryAction": { "SqlQuery": "select * from Datastore" } } ] } }, "ContainerDataset": { "Type": "AWS::IoTAnalytics::Dataset", "DependsOn": "TriggeringDataset", "Properties": { "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": "ACU_1", "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" } } ] } } } }
YAML
--- Description: "Create a complex container Dataset" Resources: TriggeringDataset: Type: "AWS::IoTAnalytics::Dataset" Properties: DatasetName: "TriggeringDataset" Actions: - ActionName: "SqlAction" QueryAction: SqlQuery: "select * from Datastore" ContainerDataset: Type: "AWS::IoTAnalytics::Dataset" DependsOn: TriggeringDataset Properties: 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: "ACU_1" 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"
See also
-
How to Use AWS IoT Analytics in the AWS IoT Analytics User Guide
-
CreateDataset in the AWS IoT Analytics API Reference