String name
The name of the 'addAttributes' activity.
Map<K,V> attributes
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".
String next
The next activity in the pipeline.
String name
The name of the channel.
String arn
The ARN of the channel.
String status
The status of the channel.
RetentionPeriod retentionPeriod
How long, in days, message data is kept for the channel.
Date creationTime
When the channel was created.
Date lastUpdateTime
When the channel was last updated.
String channelName
The name of the channel.
RetentionPeriod retentionPeriod
How long, in days, message data is kept for the channel.
String channelName
The name of the channel.
String channelArn
The ARN of the channel.
RetentionPeriod retentionPeriod
How long, in days, message data is kept for the channel.
String datasetName
The name of the data set.
String datasetName
The name of the data set.
List<E> actions
A list of actions that create the data set. Only one action is supported at this time.
List<E> triggers
A list of triggers. A trigger causes data set content to be populated at a specified time or time interval. The list of triggers can be empty or contain up to five DataSetTrigger objects.
String datastoreName
The name of the data store.
RetentionPeriod retentionPeriod
How long, in days, message data is kept for the data store.
String datastoreName
The name of the data store.
String datastoreArn
The ARN of the data store.
RetentionPeriod retentionPeriod
How long, in days, message data is kept for the data store.
String pipelineName
The name of the pipeline.
List<E> pipelineActivities
A list of pipeline activities.
The list can be 1-25 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.
String name
The name of the data set.
String arn
The ARN of the data set.
List<E> actions
The "DatasetAction" objects that create the data set.
List<E> triggers
The "DatasetTrigger" objects that specify when the data set is automatically updated.
String status
The status of the data set.
Date creationTime
When the data set was created.
Date lastUpdateTime
The last time the data set was updated.
String actionName
The name of the data set action.
SqlQueryDatasetAction queryAction
An "SqlQueryDatasetAction" object that contains the SQL query to modify the message.
Schedule schedule
The "Schedule" when the trigger is initiated.
String name
The name of the data store.
String arn
The ARN of the data store.
String status
The status of a data store:
The data store is being created.
The data store has been created and can be used.
The data store is being deleted.
RetentionPeriod retentionPeriod
How long, in days, message data is kept for the data store.
Date creationTime
When the data store was created.
Date lastUpdateTime
The last time the data store was updated.
String channelName
The name of the channel to delete.
String datasetName
The name of the data set whose content is deleted.
String versionId
The version of the data set 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, "$LATEST_SUCCEEDED" is the default.
String datasetName
The name of the data set to delete.
String datastoreName
The name of the data store to delete.
String pipelineName
The name of the pipeline to delete.
String channelName
The name of the channel whose information is retrieved.
Channel channel
An object that contains information about the channel.
String datasetName
The name of the data set whose information is retrieved.
Dataset dataset
An object that contains information about the data set.
String datastoreName
The name of the data store
Datastore datastore
Information about the data store.
LoggingOptions loggingOptions
The current settings of the AWS IoT Analytics logging options.
String pipelineName
The name of the pipeline whose information is retrieved.
Pipeline pipeline
A "Pipeline" object that contains information about the pipeline.
String name
The name of the 'deviceRegistryEnrich' activity.
String attribute
The name of the attribute that is added to the message.
String thingName
The name of the IoT device whose registry information is added to the message.
String roleArn
The ARN of the role that allows access to the device's registry information.
String next
The next activity in the pipeline.
String name
The name of the 'deviceShadowEnrich' activity.
String attribute
The name of the attribute that is added to the message.
String thingName
The name of the IoT device whose shadow information is added to the message.
String roleArn
The ARN of the role that allows access to the device's shadow.
String next
The next activity in the pipeline.
String datasetName
The name of the data set whose contents are retrieved.
String versionId
The version of the data set whose contents are retrieved. You can also use the strings "$LATEST" or "$LATEST_SUCCEEDED" to retrieve the contents of the latest or latest successfully completed data set. If not specified, "$LATEST_SUCCEEDED" is the default.
List<E> entries
A list of "DatasetEntry" objects.
Date timestamp
The time when the request was made.
DatasetContentStatus status
The status of the data set content.
String name
The name of the 'lambda' activity.
String lambdaName
The name of the Lambda function that is run on the message.
Integer batchSize
The number of messages passed to the Lambda function for processing.
The AWS Lambda function must be able to process all of these messages within five minutes, which is the maximum timeout duration for Lambda functions.
String next
The next activity in the pipeline.
String name
The name of the 'math' activity.
String attribute
The name of the attribute that will contain the result of the math operation.
String math
An expression that uses one or more existing attributes and must return an integer value.
String next
The next activity in the pipeline.
String messageId
The ID you wish to assign to the message.
ByteBuffer payload
The payload of the message.
String name
The name of the pipeline.
String arn
The ARN of the pipeline.
List<E> activities
The activities that perform transformations on the messages.
List<E> reprocessingSummaries
A summary of information about the pipeline reprocessing.
Date creationTime
When the pipeline was created.
Date lastUpdateTime
The last time the pipeline was updated.
ChannelActivity channel
Determines the source of the messages to be processed.
LambdaActivity lambda
Runs a Lambda function to modify the message.
DatastoreActivity datastore
Specifies where to store the processed message data.
AddAttributesActivity addAttributes
Adds other attributes based on existing attributes in the message.
RemoveAttributesActivity removeAttributes
Removes attributes from a message.
SelectAttributesActivity selectAttributes
Creates a new message using only the specified attributes from the original message.
FilterActivity filter
Filters a message based on its attributes.
MathActivity math
Computes an arithmetic expression using the message's attributes and adds it to the message.
DeviceRegistryEnrichActivity deviceRegistryEnrich
Adds data from the AWS IoT device registry to your message.
DeviceShadowEnrichActivity deviceShadowEnrich
Adds information from the AWS IoT Device Shadows service to a message.
String pipelineName
The name of the pipeline.
List<E> reprocessingSummaries
A summary of information about the pipeline reprocessing.
Date creationTime
When the pipeline was created.
Date lastUpdateTime
When the pipeline was last updated.
LoggingOptions loggingOptions
The new values of the AWS IoT Analytics logging options.
PipelineActivity pipelineActivity
The pipeline activity that is run. This must not be a 'channel' activity or a 'datastore' 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.
List<E> payloads
The sample message payloads on which the pipeline activity is run.
List<E> payloads
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.)
String logResult
In case the pipeline activity fails, the log message that is generated.
String channelName
The name of the channel whose message samples are retrieved.
Integer maxMessages
The number of sample messages to be retrieved. The limit is 10, the default is also 10.
Date startTime
The start of the time window from which sample messages are retrieved.
Date endTime
The end of the time window from which sample messages are retrieved.
String expression
The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.
String sqlQuery
An SQL query string.
String reprocessingId
The ID of the pipeline reprocessing activity that was started.
String channelName
The name of the channel to be updated.
RetentionPeriod retentionPeriod
How long, in days, message data is kept for the channel.
String datasetName
The name of the data set to update.
List<E> actions
A list of "DatasetAction" objects. Only one action is supported at this time.
List<E> triggers
A list of "DatasetTrigger" objects. The list can be empty or can contain up to five DataSetTrigger objects.
String datastoreName
The name of the data store to be updated.
RetentionPeriod retentionPeriod
How long, in days, message data is kept for the data store.
String pipelineName
The name of the pipeline to update.
List<E> pipelineActivities
A list of "PipelineActivity" objects.
The list can be 1-25 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.
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