Storm Trident示例batchGlobal

batchGlobal把同属于一个batch的tuples分配到相同的partition当中。

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("nickt3", 8),  
                new Values("nickt4", 9),   
                new Values("nickt5", 7),  
                new Values("nickt6", 11),  
                new Values("nickt7", 5)  
                );  
        spout.setCycle(false);  
        TridentTopology topology = new TridentTopology();  
        topology.newStream("spout1", spout)  
                .batchGlobal()  
                .each(new Fields("user"),new Debug("print:"))  
                .parallelismHint(5);  

　　

分析以上代码：使用FixedBatchSpout发射数据，每个batch设置的size为3，对于如上的nickt1到nickt7共7条数据，则

batch1的内容为：

nickt1 4
nickt2 7

nickt3 8

batch2的内容为:

nickt4 9

nickt5 7

nickt6 11

batch3的内容为：

nickt7 5

因为batchGlobal，把相同batch的tuples分配到同一个partition，可以看如下输出：

输出结果：

<Fri Mar 23 17:31:03 CST 2018[partition1-Thread-116-b-0-executor[34 34]]> DEBUG(print:): [nickt1]
<Fri Mar 23 17:31:03 CST 2018[partition1-Thread-116-b-0-executor[34 34]]> DEBUG(print:): [nickt2]
<Fri Mar 23 17:31:03 CST 2018[partition1-Thread-116-b-0-executor[34 34]]> DEBUG(print:): [nickt3]
<Fri Mar 23 17:31:03 CST 2018[partition2-Thread-55-b-0-executor[35 35]]> DEBUG(print:): [nickt4]
<Fri Mar 23 17:31:03 CST 2018[partition2-Thread-55-b-0-executor[35 35]]> DEBUG(print:): [nickt5]
<Fri Mar 23 17:31:03 CST 2018[partition2-Thread-55-b-0-executor[35 35]]> DEBUG(print:): [nickt6]
<Fri Mar 23 17:31:03 CST 2018[partition3-Thread-108-b-0-executor[36 36]]> DEBUG(print:): [nickt7]