[ aws . iotanalytics ]
create-dataset
Description
Used to create a dataset. A dataset stores data retrieved from a data store by applying a queryAction (a SQL query) or a containerAction (executing a containerized application). This operation creates the skeleton of a dataset. The dataset can be populated manually by calling CreateDatasetContent or automatically according to a trigger you specify.
See also: AWS API Documentation
Synopsis
create-dataset
--dataset-name <value>
--actions <value>
[--triggers <value>]
[--content-delivery-rules <value>]
[--retention-period <value>]
[--versioning-configuration <value>]
[--tags <value>]
[--late-data-rules <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
Options
--dataset-name (string)
--actions (list)
A list of actions that create the dataset contents.
(structure)
A DatasetAction object that specifies how dataset contents are automatically created.
actionName -> (string)
queryAction -> (structure)
An SqlQueryDatasetAction object that uses an SQL query to automatically create dataset contents.
sqlQuery -> (string)
filters -> (list)
Prefilters applied to message data.
(structure)
Information that is used to filter message data, to segregate it according to the timeframe in which it arrives.
deltaTime -> (structure)
Used to limit data to that which has arrived since the last execution of the action.
offsetSeconds -> (integer)
timeExpression -> (string)
containerAction -> (structure)
Information that allows the system to run a containerized application to create the dataset contents. The application must be in a Docker container along with any required support libraries.
image -> (string)
executionRoleArn -> (string)
containerAction . This includes, at minimum, permission to retrieve the dataset contents that are the input to the containerized application.resourceConfiguration -> (structure)
Configuration of the resource that executes the containerAction .
computeType -> (string)
containerAction . Possible values are: ACU_1 (vCPU=4, memory=16 GiB) or ACU_2 (vCPU=8, memory=32 GiB).volumeSizeInGB -> (integer)
containerAction (min: 1, max: 50).variables -> (list)
The values of variables used in 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 .
(structure)
An instance of a variable to be passed to the containerAction execution. Each variable must have a name and a value given by one of stringValue , datasetContentVersionValue , or outputFileUriValue .
name -> (string)
stringValue -> (string)
doubleValue -> (double)
datasetContentVersionValue -> (structure)
The value of the variable as a structure that specifies a dataset content version.
datasetName -> (string)
outputFileUriValue -> (structure)
The value of the variable as a structure that specifies an output file URI.
fileName -> (string)
JSON Syntax:
[
{
"actionName": "string",
"queryAction": {
"sqlQuery": "string",
"filters": [
{
"deltaTime": {
"offsetSeconds": integer,
"timeExpression": "string"
}
}
...
]
},
"containerAction": {
"image": "string",
"executionRoleArn": "string",
"resourceConfiguration": {
"computeType": "ACU_1"|"ACU_2",
"volumeSizeInGB": integer
},
"variables": [
{
"name": "string",
"stringValue": "string",
"doubleValue": double,
"datasetContentVersionValue": {
"datasetName": "string"
},
"outputFileUriValue": {
"fileName": "string"
}
}
...
]
}
}
...
]
--triggers (list)
A list of triggers. A trigger causes dataset contents to be populated at a specified time interval or when another dataset’s contents are created. The list of triggers can be empty or contain up to five DataSetTrigger objects.
(structure)
The DatasetTrigger that specifies when the dataset is automatically updated.
schedule -> (structure)
The Schedule when the trigger is initiated.
expression -> (string)
dataset -> (structure)
The dataset whose content creation triggers the creation of this dataset’s contents.
name -> (string)
Shorthand Syntax:
schedule={expression=string},dataset={name=string} ...
JSON Syntax:
[
{
"schedule": {
"expression": "string"
},
"dataset": {
"name": "string"
}
}
...
]
--content-delivery-rules (list)
When dataset contents are created, they are delivered to destinations specified here.
(structure)
When dataset contents are created, they are delivered to destination specified here.
entryName -> (string)
destination -> (structure)
The destination to which dataset contents are delivered.
iotEventsDestinationConfiguration -> (structure)
Configuration information for delivery of dataset contents to IoT Events.
inputName -> (string)
roleArn -> (string)
s3DestinationConfiguration -> (structure)
Configuration information for delivery of dataset contents to Amazon S3.
bucket -> (string)
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
Note
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 same scheduleTime but different versionId s. This means that one dataset content overwrites the other.glueConfiguration -> (structure)
Configuration information for coordination with Glue, a fully managed extract, transform and load (ETL) service.
tableName -> (string)
databaseName -> (string)
roleArn -> (string)
JSON Syntax:
[
{
"entryName": "string",
"destination": {
"iotEventsDestinationConfiguration": {
"inputName": "string",
"roleArn": "string"
},
"s3DestinationConfiguration": {
"bucket": "string",
"key": "string",
"glueConfiguration": {
"tableName": "string",
"databaseName": "string"
},
"roleArn": "string"
}
}
}
...
]
--retention-period (structure)
Optional. How long, in days, versions of dataset contents are kept for the dataset. If not specified or set to null , versions of dataset contents are retained for at most 90 days. The number of versions of dataset contents retained is determined by the versioningConfiguration parameter. For more information, see Keeping Multiple Versions of IoT Analytics datasets in the IoT Analytics User Guide .
unlimited -> (boolean)
numberOfDays -> (integer)
unlimited parameter must be false.Shorthand Syntax:
unlimited=boolean,numberOfDays=integer
JSON Syntax:
{
"unlimited": true|false,
"numberOfDays": integer
}
--versioning-configuration (structure)
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 IoT Analytics datasets in the IoT Analytics User Guide .
unlimited -> (boolean)
maxVersions -> (integer)
unlimited parameter must be false .Shorthand Syntax:
unlimited=boolean,maxVersions=integer
JSON Syntax:
{
"unlimited": true|false,
"maxVersions": integer
}
--tags (list)
Metadata which can be used to manage the dataset.
(structure)
A set of key-value pairs that are used to manage the resource.
key -> (string)
value -> (string)
Shorthand Syntax:
key=string,value=string ...
JSON Syntax:
[
{
"key": "string",
"value": "string"
}
...
]
--late-data-rules (list)
A list of data rules that send notifications to CloudWatch, when data arrives late. To specify lateDataRules , the dataset must use a DeltaTimer filter.
(structure)
A structure that contains the name and configuration information of a late data rule.
ruleName -> (string)
ruleConfiguration -> (structure)
The information needed to configure the late data rule.
deltaTimeSessionWindowConfiguration -> (structure)
The information needed to configure a delta time session window.
timeoutInMinutes -> (integer)
A time interval. You can use timeoutInMinutes so that IoT Analytics can batch up late data notifications that have been generated since the last execution. 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 .
Shorthand Syntax:
ruleName=string,ruleConfiguration={deltaTimeSessionWindowConfiguration={timeoutInMinutes=integer}} ...
JSON Syntax:
[
{
"ruleName": "string",
"ruleConfiguration": {
"deltaTimeSessionWindowConfiguration": {
"timeoutInMinutes": integer
}
}
}
...
]
--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
Global Options
--debug (boolean)
Turn on debug logging.
--endpoint-url (string)
Override command’s default URL with the given URL.
--no-verify-ssl (boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate (boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output (string)
The formatting style for command output.
- json
- text
- table
- yaml
- yaml-stream
--query (string)
A JMESPath query to use in filtering the response data.
--profile (string)
Use a specific profile from your credential file.
--region (string)
The region to use. Overrides config/env settings.
--version (string)
Display the version of this tool.
--color (string)
Turn on/off color output.
- on
- off
- auto
--no-sign-request (boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle (string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout (int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout (int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format (string)
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.
- base64
- raw-in-base64-out
--no-cli-pager (boolean)
Disable cli pager for output.
--cli-auto-prompt (boolean)
Automatically prompt for CLI input parameters.
--no-cli-auto-prompt (boolean)
Disable automatically prompt for CLI input parameters.
Examples
Note
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
To create a dataset
The following create-dataset example creates a dataset. A dataset stores data retrieved from a data store by applying a queryAction (a SQL query) or a containerAction (executing a containerized application). This operation creates the skeleton of a dataset. You can populate the dataset manually by calling CreateDatasetContent or automatically according to a trigger you specify.
aws iotanalytics create-dataset \
--cli-input-json file://create-dataset.json
Contents of create-dataset.json:
{
"datasetName": "mydataset",
"actions": [
{
"actionName": "myDatasetAction",
"queryAction": {
"sqlQuery": "SELECT * FROM mydatastore"
}
}
],
"retentionPeriod": {
"unlimited": true
},
"tags": [
{
"key": "Environment",
"value": "Production"
}
]
}
Output:
{
"datasetName": "mydataset",
"retentionPeriod": {
"unlimited": true
},
"datasetArn": "arn:aws:iotanalytics:us-west-2:123456789012:dataset/mydataset"
}
For more information, see CreateDataset in the AWS IoT Analytics API Reference.
Output
datasetName -> (string)
datasetArn -> (string)
retentionPeriod -> (structure)
How long, in days, dataset contents are kept for the dataset.
unlimited -> (boolean)
numberOfDays -> (integer)
unlimited parameter must be false.
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