| Column Name | Column Data Type |
name Required Input Column
The name of the campaign. | VARCHAR |
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT( "type" VARCHAR, "name" VARCHAR, "account_id" VARCHAR, "via_profile_name" VARCHAR, "assumed_role_arn" VARCHAR, "organization" STRUCT( "account_name" VARCHAR, "id" VARCHAR, "tags" STRUCT( "key" VARCHAR, "value" VARCHAR )[], "master_account" STRUCT( "id" VARCHAR, "email" VARCHAR ), "parents" STRUCT( "type" VARCHAR, "id" VARCHAR, "name" VARCHAR, "tags" STRUCT( "key" VARCHAR, "value" VARCHAR )[] )[] ) ) |
Show child fields- _aws_profile.account_id
The AWS account id
- _aws_profile.assumed_role_arn
The ARN of the assumed role
- _aws_profile.name
The unique name of the profile.
- _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization
- _aws_profile.organization.id
The organization id
- _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address
- _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent
- _aws_profile.organization.parents[].name
The name of the parent
- _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role'
- _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
arn
The Amazon Resource Name (ARN) of the campaign. | VARCHAR |
collection_scheme
Information about the data collection scheme associated with the campaign. | STRUCT( "time_based_collection_scheme" STRUCT( "period_ms" BIGINT ), "condition_based_collection_scheme" STRUCT( "expression" VARCHAR, "minimum_trigger_interval_ms" BIGINT, "trigger_mode" VARCHAR, "condition_language_version" BIGINT ) ) |
Show child fields- collection_scheme.condition_based_collection_scheme
Information about a collection scheme that uses a simple logical expression to recognize what data to collect. Show child fields- collection_scheme.condition_based_collection_scheme.condition_language_version
Specifies the version of the conditional expression language.
- collection_scheme.condition_based_collection_scheme.expression
The logical expression used to recognize what data to collect. For example, $variable.`Vehicle.OutsideAirTemperature` >= 105.0.
- collection_scheme.condition_based_collection_scheme.minimum_trigger_interval_ms
The minimum duration of time between two triggering events to collect data, in milliseconds. If a signal changes often, you might want to collect data at a slower rate.
- collection_scheme.condition_based_collection_scheme.trigger_mode
Whether to collect data for all triggering events (ALWAYS). Specify (RISING_EDGE), or specify only when the condition first evaluates to false. For example, triggering on "AirbagDeployed"; Users aren't interested on triggering when the airbag is already exploded; they only care about the change from not deployed => deployed.
- collection_scheme.time_based_collection_scheme
Information about a collection scheme that uses a time period to decide how often to collect data. Show child fields- collection_scheme.time_based_collection_scheme.period_ms
The time period (in milliseconds) to decide how often to collect data. For example, if the time period is 60000, the Edge Agent software collects data once every minute.
|
compression
Whether to compress signals before transmitting data to Amazon Web Services IoT FleetWise. If OFF is specified, the signals aren't compressed. If it's not specified, SNAPPY is used. | VARCHAR |
creation_time
The time the campaign was created in seconds since epoch (January 1, 1970 at midnight UTC time). | TIMESTAMP_S |
data_destination_configs
The destination where the campaign sends data. You can choose to send data to be stored in Amazon S3 or Amazon Timestream. Amazon S3 optimizes the cost of data storage and provides additional mechanisms to use vehicle data, such as data lakes, centralized data storage, data processing pipelines, and analytics. You can use Amazon Timestream to access and analyze time series data, and Timestream to query vehicle data so that you can identify trends and patterns. | STRUCT( "s3_config" STRUCT( "bucket_arn" VARCHAR, "data_format" VARCHAR, "storage_compression_format" VARCHAR, "prefix" VARCHAR ), "timestream_config" STRUCT( "timestream_table_arn" VARCHAR, "execution_role_arn" VARCHAR ) )[] |
Show child fields- data_destination_configs[]
Show child fields- data_destination_configs[].s3_config
The Amazon S3 bucket where the Amazon Web Services IoT FleetWise campaign sends data. Show child fields- data_destination_configs[].s3_config.bucket_arn
The Amazon Resource Name (ARN) of the Amazon S3 bucket.
- data_destination_configs[].s3_config.data_format
Specify the format that files are saved in the Amazon S3 bucket. You can save files in an Apache Parquet or JSON format. -
Parquet - Store data in a columnar storage file format. Parquet is optimal for fast data retrieval and can reduce costs. This option is selected by default. -
JSON - Store data in a standard text-based JSON file format.
- data_destination_configs[].s3_config.prefix
(Optional) Enter an S3 bucket prefix. The prefix is the string of characters after the bucket name and before the object name. You can use the prefix to organize data stored in Amazon S3 buckets. For more information, see Organizing objects using prefixes in the Amazon Simple Storage Service User Guide. By default, Amazon Web Services IoT FleetWise sets the prefix processed-data/year=YY/month=MM/date=DD/hour=HH/ (in UTC) to data it delivers to Amazon S3. You can enter a prefix to append it to this default prefix. For example, if you enter the prefix vehicles, the prefix will be vehicles/processed-data/year=YY/month=MM/date=DD/hour=HH/.
- data_destination_configs[].s3_config.storage_compression_format
By default, stored data is compressed as a .gzip file. Compressed files have a reduced file size, which can optimize the cost of data storage.
- data_destination_configs[].timestream_config
The Amazon Timestream table where the campaign sends data. Show child fields- data_destination_configs[].timestream_config.execution_role_arn
The Amazon Resource Name (ARN) of the task execution role that grants Amazon Web Services IoT FleetWise permission to deliver data to the Amazon Timestream table.
- data_destination_configs[].timestream_config.timestream_table_arn
The Amazon Resource Name (ARN) of the Amazon Timestream table.
|
data_extra_dimensions
A list of vehicle attributes associated with the campaign. | VARCHAR[] |
Show child fields- data_extra_dimensions[]
|
description
The description of the campaign. | VARCHAR |
diagnostics_mode
Option for a vehicle to send diagnostic trouble codes to Amazon Web Services IoT FleetWise. | VARCHAR |
expiry_time
The time the campaign expires, in seconds since epoch (January 1, 1970 at midnight UTC time). Vehicle data won't be collected after the campaign expires. | TIMESTAMP_S |
last_modification_time
The last time the campaign was modified. | TIMESTAMP_S |
post_trigger_collection_duration
How long (in seconds) to collect raw data after a triggering event initiates the collection. | BIGINT |
priority
A number indicating the priority of one campaign over another campaign for a certain vehicle or fleet. A campaign with the lowest value is deployed to vehicles before any other campaigns. | BIGINT |
signal_catalog_arn
The ARN of a signal catalog. | VARCHAR |
signals_to_collect
Information about a list of signals to collect data on. | STRUCT( "name" VARCHAR, "max_sample_count" BIGINT, "minimum_sampling_interval_ms" BIGINT )[] |
Show child fields- signals_to_collect[]
Show child fields- signals_to_collect[].max_sample_count
The maximum number of samples to collect.
- signals_to_collect[].minimum_sampling_interval_ms
The minimum duration of time (in milliseconds) between two triggering events to collect data. If a signal changes often, you might want to collect data at a slower rate.
- signals_to_collect[].name
The name of the signal.
|
spooling_mode
Whether to store collected data after a vehicle lost a connection with the cloud. After a connection is re-established, the data is automatically forwarded to Amazon Web Services IoT FleetWise. | VARCHAR |
start_time
The time, in milliseconds, to deliver a campaign after it was approved. | TIMESTAMP_S |
status
The state of the campaign. The status can be one of: CREATING, WAITING_FOR_APPROVAL, RUNNING, and SUSPENDED. | VARCHAR |
target_arn
The ARN of the vehicle or the fleet targeted by the campaign. | VARCHAR |