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"
		}
	}]
}
```

is_java = lambda_executors.is_java_lambda(runtime)
    if is_java:
        
        
        
        lambda_handler = get_java_handler(zip_file_content, handler_name, tmp_file)
    if not is_local_mount:
        
        if not is_zip_file(zip_file_content):
            raise ClientError(
                'Uploaded Lambda code for runtime ({}) is not in Zip format'.format(runtime))
        
        if not is_java or zip_contains_jar_entries(zip_file_content, 'lib/'):
            unzip(tmp_file, lambda_cwd)
    
    if not is_java:
        handler_file = get_handler_file_from_name(handler_name, runtime=runtime)
        handler_function = get_handler_function_from_name(handler_name, runtime=runtime)
        main_file = '%s/%s' % (lambda_cwd, handler_file)
        if not os.path.exists(main_file):
            
            
            
            if not is_local_mount or not use_docker() or config.LAMBDA_REMOTE_DOCKER:
                file_list = run('cd "%s"; du -d 3 .' % lambda_cwd)
                config_debug = ('Config for local mount, docker, remote: "%s", "%s", "%s"' %
                    (is_local_mount, use_docker(), config.LAMBDA_REMOTE_DOCKER))
                LOG.debug('Lambda archive content:\n%s' % file_list)
                raise ClientError(error_response(
                    'Unable to find handler script (%s) in Lambda archive. %s' % (main_file, config_debug),