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We have been trying to setup s3 and sqs on local stack. What we are trying to do is any object uploaded to s3 sqs queue needs to be notified. Find below bunch commands used. 

```
aws --endpoint-url=http://localhost:4572 s3 mb s3://march
aws --endpoint-url=http://localhost:4576 sqs create-queue --queue-name march
aws --endpoint-url=http://localhost:4572 s3api put-bucket-notification-configuration --bucket march --notification-configuration file://notification.json
aws --endpoint-url=http://localhost:4572 s3 cp test.csv s3://march
aws --endpoint-url=http://localhost:4576 sqs receive-message --queue-url http://localhost:4576/queue/march
```
notification.json content
```
{
  "QueueConfigurations": [
    {
      "QueueArn": "http://localstack:4576/queue/march",
        "Events": [
          "s3:ObjectCreated:*"
        ]
    }
  ]
}
```

Is there anything missing in my above steps? Is this a know issue?
environment['AWS_LAMBDA_FUNCTION_NAME'] = context.function_name
            environment['AWS_LAMBDA_FUNCTION_VERSION'] = context.function_version
            environment['AWS_LAMBDA_FUNCTION_INVOKED_ARN'] = context.invoked_function_arn
        
        command = ''
        
        if runtime == LAMBDA_RUNTIME_JAVA8:
            java_opts = Util.get_java_opts()
            stdin = None
            
            target_file = os.path.join(lambda_cwd, os.path.basename(LAMBDA_EXECUTOR_JAR))
            if not os.path.exists(target_file):
                cp_r(LAMBDA_EXECUTOR_JAR, target_file)
            
            taskdir = '/var/task'
            save_file(os.path.join(lambda_cwd, LAMBDA_EVENT_FILE), event_body)
            classpath = Util.get_java_classpath(target_file)
            command = ("bash -c 'cd %s; java %s -cp \"%s\" \"%s\" \"%s\" \"%s\"'" %
                (taskdir, java_opts, classpath, LAMBDA_EXECUTOR_CLASS, handler, LAMBDA_EVENT_FILE))
        
        cmd = self.prepare_execution(func_arn, environment, runtime, command, handler, lambda_cwd)
        
        LOG.debug('Running lambda cmd: %s' % cmd)
        result, log_output = self.run_lambda_executor(cmd, stdin, environment)
        log_formatted = log_output.strip().replace('\n', '\n> ')
        LOG.debug('Lambda %s result / log output:\n%s\n>%s' % (func_arn, result.strip(), log_formatted))
        return result, log_output
class LambdaExecutorReuseContainers(LambdaExecutorContainers):
    """ Executor class for executing Lambda functions in re-usable Docker containers """
    def __init__(self):