Class: Aws::Kinesis::Types::PutRecordsRequestEntry

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-kinesis/lib/aws-sdk-kinesis/types.rb

Overview

Represents the output for PutRecords.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#data ⇒ String

The data blob to put into the record, which is base64-encoded when the blob is serialized. When the data blob (the payload before base64-encoding) is added to the partition key size, the total size must not exceed the maximum record size (1 MiB).

Returns:

  • (String) 


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# File 'gems/aws-sdk-kinesis/lib/aws-sdk-kinesis/types.rb', line 1602

class PutRecordsRequestEntry < Struct.new(
  :data,
  :explicit_hash_key,
  :partition_key)
  SENSITIVE = []
  include Aws::Structure
end

#explicit_hash_key ⇒ String

The hash value used to determine explicitly the shard that the data record is assigned to by overriding the partition key hash.

Returns:

  • (String) 


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# File 'gems/aws-sdk-kinesis/lib/aws-sdk-kinesis/types.rb', line 1602

class PutRecordsRequestEntry < Struct.new(
  :data,
  :explicit_hash_key,
  :partition_key)
  SENSITIVE = []
  include Aws::Structure
end

#partition_key ⇒ String

Determines which shard in the stream the data record is assigned to. Partition keys are Unicode strings with a maximum length limit of 256 characters for each key. Amazon Kinesis Data Streams uses the partition key as input to a hash function that maps the partition key and associated data to a specific shard. Specifically, an MD5 hash function is used to map partition keys to 128-bit integer values and to map associated data records to shards. As a result of this hashing mechanism, all data records with the same partition key map to the same shard within the stream.

Returns:

  • (String) 


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# File 'gems/aws-sdk-kinesis/lib/aws-sdk-kinesis/types.rb', line 1602

class PutRecordsRequestEntry < Struct.new(
  :data,
  :explicit_hash_key,
  :partition_key)
  SENSITIVE = []
  include Aws::Structure
end