kinesis_create_channel: Creates a channel that delivers records from a Kinesis data...

In paws.analytics: 'Amazon Web Services' Analytics Services

Creates a channel that delivers records from a Kinesis data stream to a destination

Description

Creates a channel that delivers records from a Kinesis data stream to a destination. A channel reads records from the specified stream and writes them to streaming tables on Apache Iceberg (Amazon S3 Tables) or to a general purpose Amazon S3 bucket.

See https://www.paws-r-sdk.com/docs/kinesis_create_channel/ for full documentation.

Usage

kinesis_create_channel(
  ChannelName,
  ServiceExecutionRoleARN,
  StreamConfigurationList,
  S3DestinationConfiguration = NULL,
  S3TablesDestinationConfiguration = NULL,
  EncryptionConfiguration = NULL,
  Tags = NULL,
  LoggingConfiguration = NULL
)

Arguments

ChannelName	[required] The name of the channel. The name is unique within your Amazon Web Services account and Amazon Web Services Region.
ServiceExecutionRoleARN	[required] The Amazon Resource Name (ARN) of the IAM role that Amazon Kinesis Data Streams assumes to write records to the destination.
StreamConfigurationList	[required] The source stream configuration for the channel. Currently, one stream is supported per channel.
S3DestinationConfiguration	The configuration for delivery to a general purpose Amazon S3 bucket. Specify this parameter when S3TablesDestinationConfiguration is not specified.
S3TablesDestinationConfiguration	The configuration for delivery to streaming tables on Apache Iceberg in Amazon S3 Tables. Specify this parameter when S3DestinationConfiguration is not specified.
EncryptionConfiguration	The server-side encryption configuration that uses an Amazon Web Services KMS key to encrypt data delivered to the destination.
Tags	A set of key-value pairs to assign to the channel. A tag consists of a required key and an optional value.
LoggingConfiguration	The Amazon CloudWatch Logs configuration for the channel.

paws.analytics documentation built on Oct. 8, 2026, 1:09 a.m.