Description

Writes a single data record into an Amazon Kinesis stream. Call PutRecord to send data into the stream for real-time ingestion and subsequent processing, one record at a time. Each shard can support writes up to 1,000 records per second, up to a maximum data write total of 1 MB per second.

You must specify the name of the stream that captures, stores, and transports the data; a partition key; and the data blob itself.

The data blob can be any type of data; for example, a segment from a log file, geographic/location data, website clickstream data, and so on.

The partition key is used by Amazon Kinesis to distribute data across shards. Amazon Kinesis segregates the data records that belong to a stream into multiple shards, using the partition key associated with each data record to determine which shard a given data record belongs to.

Partition keys are Unicode strings, with a maximum length limit of 256 characters for each key. An MD5 hash function is used to map partition keys to 128-bit integer values and to map associated data records to shards using the hash key ranges of the shards. You can override hashing the partition key to determine the shard by explicitly specifying a hash value using the ExplicitHashKey parameter. For more information, see Adding Data to a Stream (http://docs.aws.amazon.com/kinesis/latest/dev/developing-producers-with-sdk.html#kinesis-using-sdk-java-add-data-to-stream) in the Amazon Kinesis Streams Developer Guide.

PutRecord returns the shard ID of where the data record was placed and the sequence number that was assigned to the data record.

Sequence numbers increase over time and are specific to a shard within a stream, not across all shards within a stream. To guarantee strictly increasing ordering, write serially to a shard and use the SequenceNumberForOrdering parameter. For more information, see Adding Data to a Stream (http://docs.aws.amazon.com/kinesis/latest/dev/developing-producers-with-sdk.html#kinesis-using-sdk-java-add-data-to-stream) in the Amazon Kinesis Streams Developer Guide.

If a PutRecord request cannot be processed because of insufficient provisioned throughput on the shard involved in the request, PutRecord throws ProvisionedThroughputExceededException.

Data records are accessible for only 24 hours from the time that they are added to a stream.