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Class: Aws::KinesisAnalytics::Types::Input
- Inherits:
-
Struct
- Object
- Struct
- Aws::KinesisAnalytics::Types::Input
- Defined in:
- (unknown)
Overview
When passing Input as input to an Aws::Client method, you can use a vanilla Hash:
{
name_prefix: "InAppStreamName", # required
input_processing_configuration: {
input_lambda_processor: { # required
resource_arn: "ResourceARN", # required
role_arn: "RoleARN", # required
},
},
kinesis_streams_input: {
resource_arn: "ResourceARN", # required
role_arn: "RoleARN", # required
},
kinesis_firehose_input: {
resource_arn: "ResourceARN", # required
role_arn: "RoleARN", # required
},
input_parallelism: {
count: 1,
},
input_schema: { # required
record_format: { # required
record_format_type: "JSON", # required, accepts JSON, CSV
mapping_parameters: {
json_mapping_parameters: {
record_row_path: "RecordRowPath", # required
},
csv_mapping_parameters: {
record_row_delimiter: "RecordRowDelimiter", # required
record_column_delimiter: "RecordColumnDelimiter", # required
},
},
},
record_encoding: "RecordEncoding",
record_columns: [ # required
{
name: "RecordColumnName", # required
mapping: "RecordColumnMapping",
sql_type: "RecordColumnSqlType", # required
},
],
},
}
When you configure the application input, you specify the streaming source, the in-application stream name that is created, and the mapping between the two. For more information, see Configuring Application Input.
Returned by:
Instance Attribute Summary collapse
-
#input_parallelism ⇒ Types::InputParallelism
Describes the number of in-application streams to create.
-
#input_processing_configuration ⇒ Types::InputProcessingConfiguration
The [InputProcessingConfiguration][1] for the input.
-
#input_schema ⇒ Types::SourceSchema
Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.
-
#kinesis_firehose_input ⇒ Types::KinesisFirehoseInput
If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the delivery stream\'s ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
-
#kinesis_streams_input ⇒ Types::KinesisStreamsInput
If the streaming source is an Amazon Kinesis stream, identifies the stream\'s Amazon Resource Name (ARN) and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
-
#name_prefix ⇒ String
Name prefix to use when creating an in-application stream.
Instance Attribute Details
#input_parallelism ⇒ Types::InputParallelism
Describes the number of in-application streams to create.
Data from your source is routed to these in-application input streams.
#input_processing_configuration ⇒ Types::InputProcessingConfiguration
The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application\'s SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.
#input_schema ⇒ Types::SourceSchema
Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.
Also used to describe the format of the reference data source.
#kinesis_firehose_input ⇒ Types::KinesisFirehoseInput
If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the delivery stream\'s ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
Note: Either KinesisStreamsInput
or KinesisFirehoseInput
is
required.
#kinesis_streams_input ⇒ Types::KinesisStreamsInput
If the streaming source is an Amazon Kinesis stream, identifies the stream\'s Amazon Resource Name (ARN) and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
Note: Either KinesisStreamsInput
or KinesisFirehoseInput
is
required.
#name_prefix ⇒ String
Name prefix to use when creating an in-application stream. Suppose that
you specify a prefix \"MyInApplicationStream.\" Amazon Kinesis Analytics
then creates one or more (as per the InputParallelism
count you
specified) in-application streams with names
\"MyInApplicationStream_001,\" \"MyInApplicationStream_002,\" and so
on.