Apache光束中的Gamma分布

时间:2018-05-18 08:45:45

标签: java google-cloud-platform apache-beam

我试图在apache beam中实现Gamma Distribution。首先,我使用Apache beam的TextIO类读取CSV文件CSV文件:

Pipeline p = Pipeline.create();  
p.apply(TextIO.read().from("gs://path/to/file.csv"));  

之后,我应用一个转换来解析CSV文件中的每一行并返回一个对象。这里只有我尝试执行Gamma分配操作:

.apply(ParDo.of(new DoFn<String, Entity>() {
@ProcessElement
public void processElement(ProcessContext c) {
    String[] strArr = c.element().split(",");
    ClassxNorms xn = new ClassxNorms();
    xn.setDuration(Double.parseDouble(strArr[0]));
    xn.setAlpha(Double.parseDouble(strArr[1]));
    xn.setBeta(Double.parseDouble(strArr[2]));
    GammaDistribution gdValue = new GammaDistribution(Double.parseDouble(strArr[0]), Double.parseDouble(strArr[1]), Double.parseDouble(strArr[2]));
    System.out.println("gdValue : " + gdValue);
    c.output(xn);
}
}));

我创建了一个beamRecord,并在下一步中将光束记录转换为字符串,将最终输出写入Google存储:

PCollection<String> gs_output_final = xnorm_trig.apply(ParDo.of(new DoFn<BeamRecord, String>() {
                    private static final long serialVersionUID = 1L;
                    @ProcessElement
                    public void processElement(ProcessContext c) {
                        c.output(c.element().toString());
                        System.out.println(c.element().toString());
                    }
                })); 
   gs_output_final.apply(TextIO.write().to("gs://output/op_1/Q40test111"));  

我获得了输出但是伽马分配操作没有得到实现。任何帮助都会非常感激。

1 个答案:

答案 0 :(得分:1)

我能够在apache beam中实现gamma分布。以下是供参考的代码段:

.apply(ParDo.of(new DoFn<String, ClassxNorms>() { 
    @ProcessElement
    public void processElement(ProcessContext c) throws ParseException {
      String[] strArr = c.element().split(",");
      ClassxNorms xn = new ClassxNorms();
      double sample = new GammaDistribution(Double.parseDouble(strArr[11]), Double.parseDouble(strArr[12])).cumulativeProbability(Double.parseDouble(strArr[6]));
      xn.setDuration(Double.parseDouble(strArr[6]));
      xn.setAlpha(Double.parseDouble(strArr[11]));
      xn.setBeta(Double.parseDouble(strArr[12]));
      xn.setVolume(Double.parseDouble(strArr[13]));
      xn.setSpend(Double.parseDouble(strArr[14]));
      xn.setEfficiency(Double.parseDouble(strArr[15]));
      xn.setXnorm(Double.parseDouble(strArr[16]));
      xn.setKey(strArr[17]);
      xn.setGamma(sample);
      c.output(xn);
    }
  }));