如下代码使用partitionBy做repartition, partitionBy即根据相应字段的值按一定算法，把tuple分配到目标partition当中（Target Partition = hash(fields) % (number of target partition)），

相同值会被分配到同一个partition当中，由于不同值有可能出现相同的hash, 根据上面的算法，不同的值，也可能分配到同一个partition中。

省略部分代码，省略部分可参考：https://blog.csdn.net/nickta/article/details/79666918

 

FixedBatchSpout spout = new FixedBatchSpout(new Fields("user", "score"), 3,                   new Values("nickt1", 4),                  new Values("nickt2", 7),                   new Values("nickt1", 8),                  new Values("nickt4", 9),                   new Values("nickt5", 7),                  new Values("nickt1", 11),                  new Values("nickt4", 5)                  );          spout.setCycle(false);          TridentTopology topology = new TridentTopology();          topology.newStream("spout1", spout)                  .partitionBy(new Fields("user"))                  .each(new Fields("user"),new Debug("print:"))                  .parallelismHint(5);

　　

输出结果：由输出，可以看出，nickt1都是在partition1中输出，nickt4都是在partition4中输出

<Fri Mar 23 15:21:46 CST 2018[partition2-Thread-53-b-0-executor[35 35]]> DEBUG(print:): [nickt2]

<Fri Mar 23 15:21:46 CST 2018[partition1-Thread-128-b-0-executor[34 34]]> DEBUG(print:): [nickt1]

<Fri Mar 23 15:21:46 CST 2018[partition1-Thread-128-b-0-executor[34 34]]> DEBUG(print:): [nickt1]

<Fri Mar 23 15:21:46 CST 2018[partition1-Thread-128-b-0-executor[34 34]]> DEBUG(print:): [nickt1]

<Fri Mar 23 15:21:46 CST 2018[partition4-Thread-126-b-0-executor[37 37]]> DEBUG(print:): [nickt4]

<Fri Mar 23 15:21:46 CST 2018[partition0-Thread-72-b-0-executor[33 33]]> DEBUG(print:): [nickt5]

<Fri Mar 23 15:21:46 CST 2018[partition4-Thread-126-b-0-executor[37 37]]> DEBUG(print:): [nickt4]