I have a setup where there is a node.js application that writes to a kinesis stream using putRecords for two items. The kinesis stream feeds a Lambda function that is configured with an eventSourceMapping with a batch size of 1. However, when I debug what the Records Kinesis feeds the lambda for an invocation, I see that the lambda is processing two records. Both of these records are on the same shard and have a sequence number which is pretty close.

The interesting thing is that if I switch the node.js published to use putRecord instead of putRecords, the kinesis records have a slightly farther apart sequence number and the lambda is fed the records individually.

The java code to configure the event source mapping
```
        AWSLambdaAsync lambdaClient = AWSResourceFactory.getLambdaClient();
        CreateEventSourceMappingRequest request = new CreateEventSourceMappingRequest();
        request.setEventSourceArn(kinesisArn);
        request.setFunctionName(functionName);
        request.setEnabled(true);
        request.setStartingPosition(EventSourcePosition.TRIM_HORIZON);
        request.setBatchSize(1);
        lambdaClient.createEventSourceMapping(request);
```

The localstack lambda output that shows multiple records being read at a time:

```
{
	"Records": [{
		"eventID": "shardId-000000000000:49593014281924840790139112603493819506073986345293840386",
		"eventSourceARN": "arn:aws:kinesis:us-east-1:000000000000:stream/MyStream",
		"kinesis": {
			"partitionKey": "ed0f756b97234f4fae9e3d1a886b8fbc",
			"data": "myData1",
			"sequenceNumber": "49593014281924840790139112603493819506073986345293840386"
		}
	}, {
		"eventID": "shardId-000000000000:49593014281924840790139112603495028431893600974468546562",
		"eventSourceARN": "arn:aws:kinesis:us-east-1:000000000000:stream/MyStream",
		"kinesis": {
			"partitionKey": "abee63a9299385699d65e89a290a9065",
			"data": "myData2",
			"sequenceNumber": "49593014281924840790139112603495028431893600974468546562"
		}
	}]
}
```

:param function_code: https://docs.aws.amazon.com/lambda/latest/dg/API_FunctionCode.html
    :returns: bytes of the Zip file.
    """
    if 'S3Bucket' in function_code:
        s3_client = aws_stack.connect_to_service('s3')
        bytes_io = BytesIO()
        try:
            s3_client.download_fileobj(function_code['S3Bucket'], function_code['S3Key'], bytes_io)
            zip_file_content = bytes_io.getvalue()
        except Exception as e:
            raise ClientError('Unable to fetch Lambda archive from S3: %s' % e, 404)
    elif 'ZipFile' in function_code:
        zip_file_content = function_code['ZipFile']
        zip_file_content = base64.b64decode(zip_file_content)
    else:
        raise ClientError('No valid Lambda archive specified.')
    return zip_file_content
def get_java_handler(zip_file_content, handler, main_file):
    """Creates a Java handler from an uploaded ZIP or JAR.
    :type zip_file_content: bytes
    :param zip_file_content: ZIP file bytes.
    :type handler: str
    :param handler: The lambda handler path.
    :type main_file: str
    :param main_file: Filepath to the uploaded ZIP or JAR file.
    :returns: function or flask.Response
    """
    if is_zip_file(zip_file_content):
        def execute(event, context):
            result, log_output = lambda_executors.EXECUTOR_LOCAL.execute_java_lambda(