You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.
Class: Aws::IoTAnalytics::Client
- Inherits:
-
Seahorse::Client::Base
- Object
- Seahorse::Client::Base
- Aws::IoTAnalytics::Client
- Defined in:
- (unknown)
Overview
An API client for AWS IoT Analytics. To construct a client, you need to configure a :region
and :credentials
.
iotanalytics = Aws::IoTAnalytics::Client.new(
region: region_name,
credentials: credentials,
# ...
)
See #initialize for a full list of supported configuration options.
Region
You can configure a default region in the following locations:
ENV['AWS_REGION']
Aws.config[:region]
Go here for a list of supported regions.
Credentials
Default credentials are loaded automatically from the following locations:
ENV['AWS_ACCESS_KEY_ID']
andENV['AWS_SECRET_ACCESS_KEY']
Aws.config[:credentials]
- The shared credentials ini file at
~/.aws/credentials
(more information) - From an instance profile when running on EC2
You can also construct a credentials object from one of the following classes:
Alternatively, you configure credentials with :access_key_id
and
:secret_access_key
:
# load credentials from disk
creds = YAML.load(File.read('/path/to/secrets'))
Aws::IoTAnalytics::Client.new(
access_key_id: creds['access_key_id'],
secret_access_key: creds['secret_access_key']
)
Always load your credentials from outside your application. Avoid configuring credentials statically and never commit them to source control.
Instance Attribute Summary
Attributes inherited from Seahorse::Client::Base
Constructor collapse
-
#initialize(options = {}) ⇒ Aws::IoTAnalytics::Client
constructor
Constructs an API client.
API Operations collapse
-
#batch_put_message(options = {}) ⇒ Types::BatchPutMessageResponse
Sends messages to a channel.
.
-
#cancel_pipeline_reprocessing(options = {}) ⇒ Struct
Cancels the reprocessing of data through the pipeline.
.
-
#create_channel(options = {}) ⇒ Types::CreateChannelResponse
Creates a channel.
-
#create_dataset(options = {}) ⇒ Types::CreateDatasetResponse
Creates a dataset.
-
#create_dataset_content(options = {}) ⇒ Types::CreateDatasetContentResponse
Creates the content of a data set by applying a
queryAction
(a SQL query) or acontainerAction
(executing a containerized application)..
-
#create_datastore(options = {}) ⇒ Types::CreateDatastoreResponse
Creates a data store, which is a repository for messages.
.
-
#create_pipeline(options = {}) ⇒ Types::CreatePipelineResponse
Creates a pipeline.
-
#delete_channel(options = {}) ⇒ Struct
Deletes the specified channel.
.
-
#delete_dataset(options = {}) ⇒ Struct
Deletes the specified dataset.
You do not have to delete the content of the dataset before you perform this operation.
. -
#delete_dataset_content(options = {}) ⇒ Struct
Deletes the content of the specified dataset.
.
-
#delete_datastore(options = {}) ⇒ Struct
Deletes the specified data store.
.
-
#delete_pipeline(options = {}) ⇒ Struct
Deletes the specified pipeline.
.
-
#describe_channel(options = {}) ⇒ Types::DescribeChannelResponse
Retrieves information about a channel.
.
-
#describe_dataset(options = {}) ⇒ Types::DescribeDatasetResponse
Retrieves information about a dataset.
.
-
#describe_datastore(options = {}) ⇒ Types::DescribeDatastoreResponse
Retrieves information about a data store.
.
-
#describe_logging_options(options = {}) ⇒ Types::DescribeLoggingOptionsResponse
Retrieves the current settings of the AWS IoT Analytics logging options.
.
-
#describe_pipeline(options = {}) ⇒ Types::DescribePipelineResponse
Retrieves information about a pipeline.
.
-
#get_dataset_content(options = {}) ⇒ Types::GetDatasetContentResponse
Retrieves the contents of a data set as presigned URIs.
.
-
#list_channels(options = {}) ⇒ Types::ListChannelsResponse
Retrieves a list of channels.
.
-
#list_dataset_contents(options = {}) ⇒ Types::ListDatasetContentsResponse
Lists information about data set contents that have been created.
.
-
#list_datasets(options = {}) ⇒ Types::ListDatasetsResponse
Retrieves information about data sets.
.
-
#list_datastores(options = {}) ⇒ Types::ListDatastoresResponse
Retrieves a list of data stores.
.
-
#list_pipelines(options = {}) ⇒ Types::ListPipelinesResponse
Retrieves a list of pipelines.
.
-
#list_tags_for_resource(options = {}) ⇒ Types::ListTagsForResourceResponse
Lists the tags (metadata) that you have assigned to the resource.
.
-
#put_logging_options(options = {}) ⇒ Struct
Sets or updates the AWS IoT Analytics logging options.
If you update the value of any
loggingOptions
field, it takes up to one minute for the change to take effect. -
#run_pipeline_activity(options = {}) ⇒ Types::RunPipelineActivityResponse
Simulates the results of running a pipeline activity on a message payload.
.
-
#sample_channel_data(options = {}) ⇒ Types::SampleChannelDataResponse
Retrieves a sample of messages from the specified channel ingested during the specified timeframe.
-
#start_pipeline_reprocessing(options = {}) ⇒ Types::StartPipelineReprocessingResponse
Starts the reprocessing of raw message data through the pipeline.
.
-
#tag_resource(options = {}) ⇒ Struct
Adds to or modifies the tags of the given resource.
-
#untag_resource(options = {}) ⇒ Struct
Removes the given tags (metadata) from the resource.
.
-
#update_channel(options = {}) ⇒ Struct
Updates the settings of a channel.
.
-
#update_dataset(options = {}) ⇒ Struct
Updates the settings of a data set.
.
-
#update_datastore(options = {}) ⇒ Struct
Updates the settings of a data store.
.
-
#update_pipeline(options = {}) ⇒ Struct
Updates the settings of a pipeline.
Instance Method Summary collapse
-
#wait_until(waiter_name, params = {}) {|waiter| ... } ⇒ Boolean
Waiters polls an API operation until a resource enters a desired state.
-
#waiter_names ⇒ Array<Symbol>
Returns the list of supported waiters.
Methods inherited from Seahorse::Client::Base
add_plugin, api, #build_request, clear_plugins, define, new, #operation, #operation_names, plugins, remove_plugin, set_api, set_plugins
Methods included from Seahorse::Client::HandlerBuilder
#handle, #handle_request, #handle_response
Constructor Details
#initialize(options = {}) ⇒ Aws::IoTAnalytics::Client
Constructs an API client.
Instance Method Details
#batch_put_message(options = {}) ⇒ Types::BatchPutMessageResponse
Sends messages to a channel.
#cancel_pipeline_reprocessing(options = {}) ⇒ Struct
Cancels the reprocessing of data through the pipeline.
#create_channel(options = {}) ⇒ Types::CreateChannelResponse
Creates a channel. A channel collects data from an MQTT topic and archives the raw, unprocessed messages before publishing the data to a pipeline.
#create_dataset(options = {}) ⇒ Types::CreateDatasetResponse
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. The dataset can be populated manually by calling CreateDatasetContent
or automatically according to a trigger you specify.
#create_dataset_content(options = {}) ⇒ Types::CreateDatasetContentResponse
Creates the content of a data set by applying a queryAction
(a SQL query) or a containerAction
(executing a containerized application).
#create_datastore(options = {}) ⇒ Types::CreateDatastoreResponse
Creates a data store, which is a repository for messages.
#create_pipeline(options = {}) ⇒ Types::CreatePipelineResponse
Creates a pipeline. A pipeline consumes messages from a channel and allows you to process the messages before storing them in a data store. You must specify both a channel
and a datastore
activity and, optionally, as many as 23 additional activities in the pipelineActivities
array.
#delete_channel(options = {}) ⇒ Struct
Deletes the specified channel.
#delete_dataset(options = {}) ⇒ Struct
Deletes the specified dataset.
You do not have to delete the content of the dataset before you perform this operation.
#delete_dataset_content(options = {}) ⇒ Struct
Deletes the content of the specified dataset.
#delete_datastore(options = {}) ⇒ Struct
Deletes the specified data store.
#delete_pipeline(options = {}) ⇒ Struct
Deletes the specified pipeline.
#describe_channel(options = {}) ⇒ Types::DescribeChannelResponse
Retrieves information about a channel.
#describe_dataset(options = {}) ⇒ Types::DescribeDatasetResponse
Retrieves information about a dataset.
#describe_datastore(options = {}) ⇒ Types::DescribeDatastoreResponse
Retrieves information about a data store.
#describe_logging_options(options = {}) ⇒ Types::DescribeLoggingOptionsResponse
Retrieves the current settings of the AWS IoT Analytics logging options.
#describe_pipeline(options = {}) ⇒ Types::DescribePipelineResponse
Retrieves information about a pipeline.
#get_dataset_content(options = {}) ⇒ Types::GetDatasetContentResponse
Retrieves the contents of a data set as presigned URIs.
#list_channels(options = {}) ⇒ Types::ListChannelsResponse
Retrieves a list of channels.
#list_dataset_contents(options = {}) ⇒ Types::ListDatasetContentsResponse
Lists information about data set contents that have been created.
#list_datasets(options = {}) ⇒ Types::ListDatasetsResponse
Retrieves information about data sets.
#list_datastores(options = {}) ⇒ Types::ListDatastoresResponse
Retrieves a list of data stores.
#list_pipelines(options = {}) ⇒ Types::ListPipelinesResponse
Retrieves a list of pipelines.
#list_tags_for_resource(options = {}) ⇒ Types::ListTagsForResourceResponse
Lists the tags (metadata) that you have assigned to the resource.
#put_logging_options(options = {}) ⇒ Struct
Sets or updates the AWS IoT Analytics logging options.
If you update the value of any loggingOptions
field, it takes up to one minute for the change to take effect. Also, if you change the policy attached to the role you specified in the roleArn
field (for example, to correct an invalid policy), it takes up to five minutes for that change to take effect.
#run_pipeline_activity(options = {}) ⇒ Types::RunPipelineActivityResponse
Simulates the results of running a pipeline activity on a message payload.
#sample_channel_data(options = {}) ⇒ Types::SampleChannelDataResponse
Retrieves a sample of messages from the specified channel ingested during the specified timeframe. Up to 10 messages can be retrieved.
#start_pipeline_reprocessing(options = {}) ⇒ Types::StartPipelineReprocessingResponse
Starts the reprocessing of raw message data through the pipeline.
#tag_resource(options = {}) ⇒ Struct
Adds to or modifies the tags of the given resource. Tags are metadata that can be used to manage a resource.
#untag_resource(options = {}) ⇒ Struct
Removes the given tags (metadata) from the resource.
#update_channel(options = {}) ⇒ Struct
Updates the settings of a channel.
#update_dataset(options = {}) ⇒ Struct
Updates the settings of a data set.
#update_datastore(options = {}) ⇒ Struct
Updates the settings of a data store.
#update_pipeline(options = {}) ⇒ Struct
Updates the settings of a pipeline. You must specify both a channel
and a datastore
activity and, optionally, as many as 23 additional activities in the pipelineActivities
array.
#wait_until(waiter_name, params = {}) {|waiter| ... } ⇒ Boolean
Waiters polls an API operation until a resource enters a desired state.
Basic Usage
Waiters will poll until they are succesful, they fail by entering a terminal state, or until a maximum number of attempts are made.
# polls in a loop, sleeping between attempts client.waiter_until(waiter_name, params)
Configuration
You can configure the maximum number of polling attempts, and the delay (in seconds) between each polling attempt. You configure waiters by passing a block to #wait_until:
# poll for ~25 seconds
client.wait_until(...) do |w|
w.max_attempts = 5
w.delay = 5
end
Callbacks
You can be notified before each polling attempt and before each
delay. If you throw :success
or :failure
from these callbacks,
it will terminate the waiter.
started_at = Time.now
client.wait_until(...) do |w|
# disable max attempts
w.max_attempts = nil
# poll for 1 hour, instead of a number of attempts
w.before_wait do |attempts, response|
throw :failure if Time.now - started_at > 3600
end
end
Handling Errors
When a waiter is successful, it returns true
. When a waiter
fails, it raises an error. All errors raised extend from
Waiters::Errors::WaiterFailed.
begin
client.wait_until(...)
rescue Aws::Waiters::Errors::WaiterFailed
# resource did not enter the desired state in time
end
#waiter_names ⇒ Array<Symbol>
Returns the list of supported waiters. The following table lists the supported waiters and the client method they call:
Waiter Name | Client Method | Default Delay: | Default Max Attempts: |
---|