The name of the pipeline whose information is retrieved.

A Pipeline object that contains information about the pipeline.

The response's http status code.

The name of the dataset whose information is retrieved.

An object that contains information about the dataset.

The response's http status code.

The token for the next set of results.

The maximum number of results to return in this request.

The default value is 100.

A list of ChannelSummary objects.

The token to retrieve the next set of results, or null if there are no more results.

The response's http status code.

The token for the next set of results.

A filter to limit results to those dataset contents whose creation is scheduled before the given time. See the field triggers.schedule in the CreateDataset request. (timestamp)

The maximum number of results to return in this request.

A filter to limit results to those dataset contents whose creation is scheduled on or after the given time. See the field triggers.schedule in the CreateDataset request. (timestamp)

The name of the dataset whose contents information you want to list.

Summary information about dataset contents that have been created.

The token to retrieve the next set of results, or null if there are no more results.

The response's http status code.

The new values of the IoT Analytics logging options.

The ARN of the resource whose tags you want to list.

The tags (metadata) that you have assigned to the resource.

The response's http status code.

The name of the channel to delete.

How long, in days, message data is kept for the channel. The retention period can't be updated if the channel's Amazon S3 storage is customer-managed.

Where channel data is stored. You can choose one of serviceManagedS3 or customerManagedS3 storage. If not specified, the default is serviceManagedS3. You can't change this storage option after the channel is created.

The name of the channel to be updated.

The start of the time window from which sample messages are retrieved.

The number of sample messages to be retrieved. The limit is 10. The default is also 10.

The end of the time window from which sample messages are retrieved.

The name of the channel whose message samples are retrieved.

The list of message samples. Each sample message is returned as a base64-encoded string.

The response's http status code.

The name of pipeline for which data reprocessing is canceled.

The ID of the reprocessing task (returned by StartPipelineReprocessing).

The response's http status code.

Contains the configuration information of file formats. IoT Analytics data stores support JSON and Parquet.

The default file format is JSON. You can specify only one format.

You can't change the file format after you create the data store.

Contains information about the partition dimensions in a data store.

How long, in days, message data is kept for the data store. When customerManagedS3 storage is selected, this parameter is ignored.

Where data in a data store is stored.. You can choose serviceManagedS3 storage, customerManagedS3 storage, or iotSiteWiseMultiLayerStorage storage. The default is serviceManagedS3. You can't change the choice of Amazon S3 storage after your data store is created.

Metadata which can be used to manage the data store.

The name of the data store.

The ARN of the data store.

The name of the data store.

How long, in days, message data is kept for the data store.

The response's http status code.

The name of the pipeline to update.

A list of PipelineActivity objects. Activities perform transformations on your messages, such as removing, renaming or adding message attributes; filtering messages based on attribute values; invoking your Lambda functions on messages for advanced processing; or performing mathematical transformations to normalize device data.

The list can be 2-25 PipelineActivity objects and must contain both a channel and a datastore activity. Each entry in the list must contain only one activity. For example:

pipelineActivities = [ { "channel": { ... } }, { "lambda": { ... } }, ... ]

The name of the pipeline to delete.

The name of the dataset to delete.

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.

A list of DatasetTrigger objects. The list can be empty or can contain up to five DatasetTrigger objects.

How long, in days, dataset contents are kept for the dataset.

A list of data rules that send notifications to CloudWatch, when data arrives late. To specify lateDataRules, the dataset must use a DeltaTimer filter.

When dataset contents are created, they are delivered to destinations specified here.

The name of the dataset to update.

A list of DatasetAction objects.

The token for the next set of results.

The maximum number of results to return in this request.

The default value is 100.

A list of PipelineSummary objects.

The token to retrieve the next set of results, or null if there are no more results.

The response's http status code.

The name of the data store to delete.

Contains the configuration information of file formats. IoT Analytics data stores support JSON and Parquet.

The default file format is JSON. You can specify only one format.

You can't change the file format after you create the data store.

How long, in days, message data is kept for the data store. The retention period can't be updated if the data store's Amazon S3 storage is customer-managed.

Where data in a data store is stored.. You can choose serviceManagedS3 storage, customerManagedS3 storage, or iotSiteWiseMultiLayerStorage storage. The default is serviceManagedS3. You can't change the choice of Amazon S3 storage after your data store is created.

The name of the data store to be updated.

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.

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.

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.

A list of data rules that send notifications to CloudWatch, when data arrives late. To specify lateDataRules, the dataset must use a DeltaTimer filter.

When dataset contents are created, they are delivered to destinations specified here.

Metadata which can be used to manage the dataset.

The name of the dataset.

A list of actions that create the dataset contents.

The ARN of the dataset.

How long, in days, dataset contents are kept for the dataset.

The name of the dataset.

The response's http status code.

The name of the channel where the messages are sent.

The list of messages to be sent. Each message has the format: { "messageId": "string", "payload": "string"}.

The field names of message payloads (data) that you send to IoT Analytics:

• Must contain only alphanumeric characters and undescores (_). No other special characters are allowed.
• Must begin with an alphabetic character or single underscore (_).
• Cannot contain hyphens (-).
• In regular expression terms: "^[A-Za-z_]([A-Za-z0-9]*|[A-Za-z0-9][A-Za-z0-9_]*)$".
• Cannot be more than 255 characters.
• Are case insensitive. (Fields named foo and FOO in the same payload are considered duplicates.)

For example, {"temp_01": 29} or {"_temp_01": 29} are valid, but {"temp-01": 29}, {"01_temp": 29} or {"__temp_01": 29} are invalid in message payloads.

A list of any errors encountered when sending the messages to the channel.

The response's http status code.

The token for the next set of results.

The maximum number of results to return in this request.

The default value is 100.

The token to retrieve the next set of results, or null if there are no more results.

A list of DatastoreSummary objects.

The response's http status code.

The version ID of the dataset content. To specify versionId for a dataset content, the dataset must use a DeltaTimer filter.

The name of the dataset.

The version ID of the dataset contents that are being created.

The response's http status code.

How long, in days, message data is kept for the channel. When customerManagedS3 storage is selected, this parameter is ignored.

Where channel data is stored. You can choose one of serviceManagedS3 or customerManagedS3 storage. If not specified, the default is serviceManagedS3. You can't change this storage option after the channel is created.

Metadata which can be used to manage the channel.

The name of the channel.

The ARN of the channel.

How long, in days, message data is kept for the channel.

The name of the channel.

The response's http status code.

The version of the dataset whose content is deleted. You can also use the strings "$LATEST" or "$LATEST_SUCCEEDED" to delete the latest or latest successfully completed data set. If not specified, "$LATEST_SUCCEEDED" is the default.

The name of the dataset whose content is deleted.

If true, additional statistical information about the data store is included in the response. This feature can't be used with a data store whose S3 storage is customer-managed.

The name of the data store

Information about the data store.

Additional statistical information about the data store. Included if the includeStatistics parameter is set to true in the request.

The response's http status code.

The version of the dataset whose contents are retrieved. You can also use the strings "$LATEST" or "$LATEST_SUCCEEDED" to retrieve the contents of the latest or latest successfully completed dataset. If not specified, "$LATEST_SUCCEEDED" is the default.

The name of the dataset whose contents are retrieved.

The status of the dataset content.

A list of DatasetEntry objects.

The time when the request was made.

The response's http status code.

The ARN of the resource whose tags you want to modify.

The new or modified tags for the resource.

The response's http status code.

The token for the next set of results.

The maximum number of results to return in this request.

The default value is 100.

The token to retrieve the next set of results, or null if there are no more results.

A list of DatasetSummary objects.

The response's http status code.

The ARN of the resource whose tags you want to remove.

The keys of those tags which you want to remove.

The response's http status code.

The pipeline activity that is run. This must not be a channel activity or a data store activity because these activities are used in a pipeline only to load the original message and to store the (possibly) transformed message. If a Lambda activity is specified, only short-running Lambda functions (those with a timeout of less than 30 seconds or less) can be used.

The sample message payloads on which the pipeline activity is run.

In case the pipeline activity fails, the log message that is generated.

The enriched or transformed sample message payloads as base64-encoded strings. (The results of running the pipeline activity on each input sample message payload, encoded in base64.)

The response's http status code.

If true, additional statistical information about the channel is included in the response. This feature can't be used with a channel whose S3 storage is customer-managed.

The name of the channel whose information is retrieved.

An object that contains information about the channel.

Statistics about the channel. Included if the includeStatistics parameter is set to true in the request.

The response's http status code.

Metadata which can be used to manage the pipeline.

The name of the pipeline.

A list of PipelineActivity objects. Activities perform transformations on your messages, such as removing, renaming or adding message attributes; filtering messages based on attribute values; invoking your Lambda unctions on messages for advanced processing; or performing mathematical transformations to normalize device data.

The list can be 2-25 PipelineActivity objects and must contain both a channel and a datastore activity. Each entry in the list must contain only one activity. For example:

pipelineActivities = [ { "channel": { ... } }, { "lambda": { ... } }, ... ]

The name of the pipeline.

The ARN of the pipeline.

The response's http status code.

The start time (inclusive) of raw message data that is reprocessed.

If you specify a value for the startTime parameter, you must not use the channelMessages object.

The end time (exclusive) of raw message data that is reprocessed.

If you specify a value for the endTime parameter, you must not use the channelMessages object.

Specifies one or more sets of channel messages that you want to reprocess.

If you use the channelMessages object, you must not specify a value for startTime and endTime.

The name of the pipeline on which to start reprocessing.

The ID of the pipeline reprocessing activity that was started.

The response's http status code.

The current settings of the IoT Analytics logging options.

The response's http status code.

The next activity in the pipeline.

The name of the addAttributes activity.

A list of 1-50 AttributeNameMapping objects that map an existing attribute to a new attribute.

The existing attributes remain in the message, so if you want to remove the originals, use RemoveAttributeActivity.

The code associated with the error.

The message associated with the error.

The ID of the message that caused the error. See the value corresponding to the messageId key in the message object.

When the channel was created.

The status of the channel.

The last time when a new message arrived in the channel.

IoT Analytics updates this value at most once per minute for one channel. Hence, the lastMessageArrivalTime value is an approximation.

This feature only applies to messages that arrived in the data store after October 23, 2020.

The ARN of the channel.

Where channel data is stored. You can choose one of serviceManagedS3 or customerManagedS3 storage. If not specified, the default is serviceManagedS3. You can't change this storage option after the channel is created.

How long, in days, message data is kept for the channel.

The name of the channel.

When the channel was last updated.

The next activity in the pipeline.

The name of the channel activity.

The name of the channel from which the messages are processed.

Specifies one or more keys that identify the Amazon Simple Storage Service (Amazon S3) objects that save your channel messages.

You must use the full path for the key.

Example path: channel/mychannel/__dt=2020-02-29 00:00:00/1582940490000_1582940520000_123456789012_mychannel_0_2118.0.json.gz

The estimated size of the channel.

Used to store channel data in an S3 bucket managed by IoT Analytics. You can't change the choice of S3 storage after the data store is created.

Used to store channel data in an S3 bucket that you manage. If customer managed storage is selected, the retentionPeriod parameter is ignored. You can't change the choice of S3 storage after the data store is created.

Used to store channel data in an S3 bucket managed by IoT Analytics.

Used to store channel data in an S3 bucket that you manage.

When the channel was created.

The status of the channel.

The last time when a new message arrived in the channel.

IoT Analytics updates this value at most once per minute for one channel. Hence, the lastMessageArrivalTime value is an approximation.

This feature only applies to messages that arrived in the data store after October 23, 2020.

The name of the channel.

Where channel data is stored.

The last time the channel was updated.

The name of the column.

The type of data. For more information about the supported data types, see Common data types in the Glue Developer Guide.

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.

The ARN of the Docker container stored in your account. The Docker container contains an application and required support libraries and is used to generate dataset contents.

The ARN of the role that gives permission to the system to access required resources to run the containerAction. This includes, at minimum, permission to retrieve the dataset contents that are the input to the containerized application.

Configuration of the resource that executes the containerAction.

(Optional) The prefix used to create the keys of the channel data objects. Each object in an S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).

The name of the S3 bucket in which channel data is stored.

The ARN of the role that grants IoT Analytics permission to interact with your Amazon S3 resources.

The name of the S3 bucket in which channel data is stored.

(Optional) The prefix used to create the keys of the channel data objects. Each object in an S3 bucket has a key that is its unique identifier within the bucket (each object in a bucket has exactly one key). The prefix must end with a forward slash (/).

The ARN of the role that grants IoT Analytics permission to interact with your Amazon S3 resources.

(Optional) The prefix used to create the keys of the data store data objects. Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).

The name of the Amazon S3 bucket where your data is stored.

The ARN of the role that grants IoT Analytics permission to interact with your Amazon S3 resources.

The name of the Amazon S3 bucket where your data is stored.

(Optional) The prefix used to create the keys of the data store data objects. Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).

The ARN of the role that grants IoT Analytics permission to interact with your Amazon S3 resources.

When the dataset was created.

The status of the dataset.

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.

The ARN of the dataset.

The DatasetAction objects that automatically create the dataset contents.

The DatasetTrigger objects that specify when the dataset is automatically updated.

Optional. How long, in days, message data is kept for the dataset.

A list of data rules that send notifications to CloudWatch, when data arrives late. To specify lateDataRules, the dataset must use a DeltaTimer filter.

The name of the dataset.

When dataset contents are created they are delivered to destinations specified here.

The last time the dataset was updated.

An SqlQueryDatasetAction object that uses an SQL query to automatically create dataset contents.

The name of the dataset action by which dataset contents are automatically created.

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.

The name of the action that automatically creates the dataset's contents.

The type of action by which the dataset's contents are automatically created.

Configuration information for delivery of dataset contents to Amazon S3.

Configuration information for delivery of dataset contents to IoT Events.

The name of the dataset content delivery rules entry.

The destination to which dataset contents are delivered.

The state of the dataset contents. Can be one of READY, CREATING, SUCCEEDED, or FAILED.

The reason the dataset contents are in this state.

The actual time the creation of the dataset contents was started.

The status of the dataset contents.

The time the creation of the dataset contents was scheduled to start.

The time the dataset content status was updated to SUCCEEDED or FAILED.

The version of the dataset contents.

The name of the dataset whose latest contents are used as input to the notebook or application.

The name of the dataset item.

The presigned URI of the dataset item.

The time the dataset was created.

The status of the dataset.

A list of DataActionSummary objects.

A list of triggers. A trigger causes dataset content to be populated at a specified time interval or when another dataset is populated. The list of triggers can be empty or contain up to five DataSetTrigger objects

The name of the dataset.

The last time the dataset was updated.

The dataset whose content creation triggers the creation of this dataset's contents.

The Schedule when the trigger is initiated.

When the data store was created.

The status of a data store:

CREATING

The data store is being created.

ACTIVE

The data store has been created and can be used.

DELETING

The data store is being deleted.

The last time when a new message arrived in the data store.

IoT Analytics updates this value at most once per minute for Amazon Simple Storage Service one data store. Hence, the lastMessageArrivalTime value is an approximation.

This feature only applies to messages that arrived in the data store after October 23, 2020.

The ARN of the data store.

Contains the configuration information of file formats. IoT Analytics data stores support JSON and Parquet.

The default file format is JSON. You can specify only one format.

You can't change the file format after you create the data store.

Contains information about the partition dimensions in a data store.

Where data in a data store is stored.. You can choose serviceManagedS3 storage, customerManagedS3 storage, or iotSiteWiseMultiLayerStorage storage. The default is serviceManagedS3. You can't change the choice of Amazon S3 storage after your data store is created.

How long, in days, message data is kept for the data store. When customerManagedS3 storage is selected, this parameter is ignored.

The name of the data store.

The last time the data store was updated.

The name of the datastore activity.

The name of the data store where processed messages are stored.

Used to store data used by IoT SiteWise in an Amazon S3 bucket that you manage.

Used to store data used by IoT SiteWise in an Amazon S3 bucket that you manage.

A partition dimension defined by an attributeName.

A partition dimension defined by a timestamp attribute.

A list of partition dimensions in a data store.

The estimated size of the data store.

Used to store data in an Amazon S3 bucket managed by IoT Analytics. You can't change the choice of Amazon S3 storage after your data store is created.

S3-customer-managed; When you choose customer-managed storage, the retentionPeriod parameter is ignored. You can't change the choice of Amazon S3 storage after your data store is created.

Used to store data used by IoT SiteWise in an Amazon S3 bucket that you manage. You can't change the choice of Amazon S3 storage after your data store is created.

Used to store data in an Amazon S3 bucket managed by IoT Analytics.

Used to store data in an Amazon S3 bucket managed by IoT Analytics.

Used to store data used by IoT SiteWise in an Amazon S3 bucket that you manage.

When the data store was created.

The status of the data store.

The last time when a new message arrived in the data store.

IoT Analytics updates this value at most once per minute for Amazon Simple Storage Service one data store. Hence, the lastMessageArrivalTime value is an approximation.

This feature only applies to messages that arrived in the data store after October 23, 2020.

The name of the data store.

Contains information about the partition dimensions in a data store.

The file format of the data in the data store.

The last time the data store was updated.

Where data in a data store is stored.

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.

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.

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.

The next activity in the pipeline.

The name of the deviceRegistryEnrich activity.

The name of the attribute that is added to the message.

The name of the IoT device whose registry information is added to the message.

The ARN of the role that allows access to the device's registry information.

The next activity in the pipeline.

The name of the deviceShadowEnrich activity.

The name of the attribute that is added to the message.

The name of the IoT device whose shadow information is added to the message.

The ARN of the role that allows access to the device's shadow.

The time when the estimate of the size of the resource was made.

The estimated size of the resource, in bytes.

Contains the configuration information of the JSON format.

Contains the configuration information of the Parquet format.

The next activity in the pipeline.

The name of the filter activity.

An expression that looks like a SQL WHERE clause that must return a Boolean value. Messages that satisfy the condition are passed to the next activity.

The name of the table in your Glue Data Catalog that is used to perform the ETL operations. An Glue Data Catalog table contains partitioned data and descriptions of data sources and targets.

The name of the database in your Glue Data Catalog in which the table is located. An Glue Data Catalog database contains metadata tables.

The name of the IoT Events input to which dataset contents are delivered.

The ARN of the role that grants IoT Analytics permission to deliver dataset contents to an IoT Events input.

(Optional) The prefix used to create the keys of the data store data objects. Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).

The name of the Amazon S3 bucket where your data is stored.

The name of the Amazon S3 bucket where your data is stored.

(Optional) The prefix used to create the keys of the data store data objects. Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).

The next activity in the pipeline.

The name of the lambda activity.

The name of the Lambda function that is run on the message.

The number of messages passed to the Lambda function for processing.

The Lambda function must be able to process all of these messages within five minutes, which is the maximum timeout duration for Lambda functions.

The name of the late data rule.

The information needed to configure the late data rule.

The information needed to configure a delta time session window.

The ARN of the role that grants permission to IoT Analytics to perform logging.

The logging level. Currently, only ERROR is supported.

If true, logging is enabled for IoT Analytics.

The next activity in the pipeline.

The name of the math activity.

The name of the attribute that contains the result of the math operation.

An expression that uses one or more existing attributes and must return an integer value.

The ID you want to assign to the message. Each messageId must be unique within each batch sent.

The payload of the message. This can be a JSON string or a base64-encoded string representing binary data, in which case you must decode it by means of a pipeline activity.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

The URI of the location where dataset contents are stored, usually the URI of a file in an S3 bucket.

Information needed to define a schema.

The name of the attribute that defines a partition dimension.

When the pipeline was created.

The ARN of the pipeline.

The activities that perform transformations on the messages.

The name of the pipeline.

A summary of information about the pipeline reprocessing.

The last time the pipeline was updated.

Used to create a new message using only the specified attributes from the original message.

Determines the source of the messages to be processed.

Adds other attributes based on existing attributes in the message.

Adds data from the IoT device registry to your message.

Removes attributes from a message.

Runs a Lambda function to modify the message.

Specifies where to store the processed message data.

Adds information from the IoT Device Shadow service to a message.

Filters a message based on its attributes.

Computes an arithmetic expression using the message's attributes and adds it to the message.

When the pipeline was created.

The name of the pipeline.

A summary of information about the pipeline reprocessing.

When the pipeline was last updated.

Used to limit data to that which has arrived since the last execution of the action.

The next activity in the pipeline.

The name of the removeAttributes activity.

A list of 1-50 attributes to remove from the message.

The time the pipeline reprocessing was created.

The status of the pipeline reprocessing.

The reprocessingId returned by StartPipelineReprocessing.

The type of the compute resource used to execute the containerAction. Possible values are: ACU_1 (vCPU=4, memory=16 GiB) or ACU_2 (vCPU=8, memory=32 GiB).

The size, in GB, of the persistent storage available to the resource instance used to execute the containerAction (min: 1, max: 50).

If true, message data is kept indefinitely.

The number of days that message data is kept. The unlimited parameter must be false.

Configuration information for coordination with Glue, a fully managed extract, transform and load (ETL) service.

The name of the S3 bucket to which dataset contents are delivered.

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 same scheduleTime but different versionIds. This means that one dataset content overwrites the other.

The ARN of the role that grants IoT Analytics permission to interact with your Amazon S3 and Glue resources.

The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch Events User Guide.

Specifies one or more columns that store your data.

Each schema can have up to 100 columns. Each column can have up to 100 nested types.

The next activity in the pipeline.

The name of the selectAttributes activity.

A list of the attributes to select from the message.

Prefilters applied to message data.

A SQL query string.

The tag's key.

The tag's value.

The timestamp format of a partition defined by a timestamp. The default format is seconds since epoch (January 1, 1970 at midnight UTC time).

The attribute name of the partition defined by a timestamp.

The name of the dataset whose content generation triggers the new dataset content generation.

The value of the variable as a structure that specifies an output file URI.

The value of the variable as a double (numeric).

The value of the variable as a string.

The value of the variable as a structure that specifies a dataset content version.

The name of the variable.

If true, unlimited versions of dataset contents are kept.

How many versions of dataset contents are kept. The unlimited parameter must be false.