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]