get_shard_iterator async ¶

async def get_shard_iterator(
    self,
    shard_id: "capo_kinesis.types.shard_id.ShardId",
    shard_iterator_type: "capo_kinesis.types.shard_iterator_type.ShardIteratorType",
    *,
    config_overrides: Optional[AsyncKinesisClientConfig] = None,
    stream_name: Optional["capo_kinesis.types.stream_name.StreamName"] = None,
    starting_sequence_number: Optional[
        "capo_kinesis.types.sequence_number.SequenceNumber"
    ] = None,
    timestamp: Optional["capo_kinesis.types.timestamp.Timestamp"] = None,
    stream_arn: Optional["capo_kinesis.types.stream_arn.StreamARN"] = None,
    stream_id: Optional["capo_kinesis.types.stream_id.StreamId"] = None,
    dry_run: Optional["capo_kinesis.types.boolean_object.BooleanObject"] = None,
) -> "capo_kinesis.types.get_shard_iterator_output.GetShardIteratorOutput":
    """<p>Gets an Amazon Kinesis shard iterator. A shard iterator expires 5 minutes after it is returned to the requester.</p> <note> <p>When invoking this API, you must use either the <code>StreamARN</code> or the <code>StreamName</code> parameter, or both. It is recommended that you use the <code>StreamARN</code> input parameter when you invoke this API.</p> </note> <p>A shard iterator specifies the shard position from which to start reading data records sequentially. The position is specified using the sequence number of a data record in a shard. A sequence number is the identifier associated with every record ingested in the stream, and is assigned when a record is put into the stream. Each stream has one or more shards.</p> <p>You must specify the shard iterator type. For example, you can set the <code>ShardIteratorType</code> parameter to read exactly from the position denoted by a specific sequence number by using the <code>AT_SEQUENCE_NUMBER</code> shard iterator type. Alternatively, the parameter can read right after the sequence number by using the <code>AFTER_SEQUENCE_NUMBER</code> shard iterator type, using sequence numbers returned by earlier calls to <a>PutRecord</a>, <a>PutRecords</a>, <a>GetRecords</a>, or <a>DescribeStream</a>. In the request, you can specify the shard iterator type <code>AT_TIMESTAMP</code> to read records from an arbitrary point in time, <code>TRIM_HORIZON</code> to cause <code>ShardIterator</code> to point to the last untrimmed record in the shard in the system (the oldest data record in the shard), or <code>LATEST</code> so that you always read the most recent data in the shard. </p> <p>When you read repeatedly from a stream, use a <a>GetShardIterator</a> request to get the first shard iterator for use in your first <a>GetRecords</a> request and for subsequent reads use the shard iterator returned by the <a>GetRecords</a> request in <code>NextShardIterator</code>. A new shard iterator is returned by every <a>GetRecords</a> request in <code>NextShardIterator</code>, which you use in the <code>ShardIterator</code> parameter of the next <a>GetRecords</a> request. </p> <p>If a <a>GetShardIterator</a> request is made too often, you receive a <code>ProvisionedThroughputExceededException</code>. For more information about throughput limits, see <a>GetRecords</a>, and <a href="https://docs.aws.amazon.com/kinesis/latest/dev/service-sizes-and-limits.html">Streams Limits</a> in the <i>Amazon Kinesis Data Streams Developer Guide</i>.</p> <p>If the shard is closed, <a>GetShardIterator</a> returns a valid iterator for the last sequence number of the shard. A shard can be closed as a result of using <a>SplitShard</a> or <a>MergeShards</a>.</p> <p> <a>GetShardIterator</a> has a limit of five transactions per second per account per open shard.</p>

    Args:
        stream_name: <p>The name of the Amazon Kinesis data stream.</p>
        shard_id: <p>The shard ID of the Kinesis Data Streams shard to get the iterator for.</p>
        shard_iterator_type: <p>Determines how the shard iterator is used to start reading data records from the shard.</p> <p>The following are the valid Amazon Kinesis shard iterator types:</p> <ul> <li> <p>AT_SEQUENCE_NUMBER - Start reading from the position denoted by a specific sequence number, provided in the value <code>StartingSequenceNumber</code>.</p> </li> <li> <p>AFTER_SEQUENCE_NUMBER - Start reading right after the position denoted by a specific sequence number, provided in the value <code>StartingSequenceNumber</code>.</p> </li> <li> <p>AT_TIMESTAMP - Start reading from the position denoted by a specific time stamp, provided in the value <code>Timestamp</code>.</p> </li> <li> <p>TRIM_HORIZON - Start reading at the last untrimmed record in the shard in the system, which is the oldest data record in the shard.</p> </li> <li> <p>LATEST - Start reading just after the most recent record in the shard, so that you always read the most recent data in the shard.</p> </li> </ul>
        starting_sequence_number: <p>The sequence number of the data record in the shard from which to start reading. Used with shard iterator type AT_SEQUENCE_NUMBER and AFTER_SEQUENCE_NUMBER.</p>
        timestamp: <p>The time stamp of the data record from which to start reading. Used with shard iterator type AT_TIMESTAMP. A time stamp is the Unix epoch date with precision in milliseconds. For example, <code>2016-04-04T19:58:46.480-00:00</code> or <code>1459799926.480</code>. If a record with this exact time stamp does not exist, the iterator returned is for the next (later) record. If the time stamp is older than the current trim horizon, the iterator returned is for the oldest untrimmed data record (TRIM_HORIZON).</p>
        stream_arn: <p>The ARN of the stream.</p>
        stream_id: <p>Not Implemented. Reserved for future use.</p>
        dry_run: <p>Checks if your request will succeed. <code>DryRun</code> is an optional parameter.</p>

    Raises:
        capo_kinesis.errors.access_denied_exception.AccessDeniedException: <p>Specifies that you do not have the permissions required to perform this operation.</p>
        capo_kinesis.errors.dry_run_operation_exception.DryRunOperationException: <p>The request was rejected because the DryRun parameter was specified.</p>
        capo_kinesis.errors.internal_failure_exception.InternalFailureException: <p>The processing of the request failed because of an unknown error, exception, or failure.</p>
        capo_kinesis.errors.invalid_argument_exception.InvalidArgumentException: <p>A specified parameter exceeds its restrictions, is not supported, or can't be used. For more information, see the returned message.</p>
        capo_kinesis.errors.provisioned_throughput_exceeded_exception.ProvisionedThroughputExceededException: <p>The request rate for the stream is too high, or the requested data is too large for the available throughput. Reduce the frequency or size of your requests. For more information, see <a href="https://docs.aws.amazon.com/kinesis/latest/dev/service-sizes-and-limits.html">Streams Limits</a> in the <i>Amazon Kinesis Data Streams Developer Guide</i>, and <a href="https://docs.aws.amazon.com/general/latest/gr/api-retries.html">Error Retries and Exponential Backoff in Amazon Web Services</a> in the <i>Amazon Web Services General Reference</i>.</p>
        capo_kinesis.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource could not be found. The stream might not be specified correctly.</p>
        capo_kinesis.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_kinesis.types.get_shard_iterator_input.GetShardIteratorInput]",
    ) -> AsyncOperationResponse[
        "capo_kinesis.types.get_shard_iterator_output.GetShardIteratorOutput"
    ]:
        import capo_kinesis._operations.kinesis_20131202.get_shard_iterator

        (
            output,
            http_response,
        ) = await capo_kinesis._operations.kinesis_20131202.get_shard_iterator.async_get_shard_iterator(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetShardIterator")
    )
    input_: capo_kinesis.types.get_shard_iterator_input.GetShardIteratorInput = {
        "shard_id": shard_id,
        "shard_iterator_type": shard_iterator_type,
    }
    if stream_name is not None:
        input_["stream_name"] = stream_name
    if starting_sequence_number is not None:
        input_["starting_sequence_number"] = starting_sequence_number
    if timestamp is not None:
        input_["timestamp"] = timestamp
    if stream_arn is not None:
        input_["stream_arn"] = stream_arn
    if stream_id is not None:
        input_["stream_id"] = stream_id
    if dry_run is not None:
        input_["dry_run"] = dry_run

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output