在阅读了这个和这个之后，我很难理解如何配置我的三叉戟拓扑。
基本上，我的storm应用程序是从Kafka那里读取数据，进行一些数据操作，最后向Cassandra写信。
以下是我当前构建拓扑的方式：

private static StormTopology buildTopology() {
// connection to kafka
ZkHosts zkHosts = new ZkHosts(broker_zk, broker_path);
TridentKafkaConfig kafkaConfig = new TridentKafkaConfig(zkHosts, topic);
kafkaConfig.scheme = new RawMultiScheme();
StateFactoryFields[] cassandraStateFactories = createStateFactories();
TransactionalTridentKafkaSpout spout = new TransactionalTridentKafkaSpout(kafkaConfig);
TridentTopology topology = new TridentTopology();
Stream kafkaSpout = topology.newStream("kafkaspout", spout).parallelismHint(1).shuffle();
Stream filterValidatStream = kafkaSpout.each(new Fields("bytes"), new SplitKafkaInput(), EventData.getEventDataFields()).parallelismHint(1);
for (StateFactoryFields stateFactoryFields : cassandraStateFactories) {
    filterValidatStream.groupBy(stateFactoryFields.groupingFields)
        .persistentAggregate(stateFactoryFields.cassandraStateFactor, new Count(), new Fields("count")).parallelismHint(2);
}
logger.info("Building topology");
return topology.build();
}

因此，我得到了一个喷口和一些操作（过滤器，groupby）与parallelishmint。我不知道如何确定最佳的parallelishmint，而且如果我在代码中设置这个值，它如何与标准的storm拓扑配置（如

topology.max.task.parallelism
topology.workers
topology.acker.executors

提前谢谢