apache pig分位数分组

fv2wmkja  于 2021-05-30  发布在  Hadoop
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我正在努力寻找一些方法来解决Pig的分组问题。目前我有一个数据集,看起来像;

Group | Height | Weight
  A   | 96.5   | 110.2
  B   | 88.2   | 122.5
  A   | 94.1   | 100.8
  B   | 84.1   | 115.6

我使用datafu库中的streamingquantile方法来计算高度变量上的分位数(25,50…etch)。目前它是可行的,但我还需要计算每个组的平均权重+它们的分位数;所以它看起来像这样;

A | Quantile1 | 88.5 (height)  | 134.4 (avg weight)
A | Quantile2 | 125.3 (height) | 156.2 (avg weight)
etc.....
B | Quantile4 | 144.3 (height) | 134.2 (avg weight)

作为参考,这里是计算分位数的简单pig;

REGISTER /usr/lib/datafu-1.2.0.jar;
define Quantile datafu.pig.stats.StreamingQuantile('0.0','0.25','0.5','0.75','1.0');
A = load 'mydata';
Group_A = GROUP A BY $0;
Quant = FOREACH GROUP_A GENERATE group,Quantile(A.$1);

我是否也可以计算每个分位数和组的平均值2美元?

knsnq2tg

knsnq2tg1#

我给这些列命名是为了避免混淆。

REGISTER /usr/lib/datafu-1.2.0.jar;
define Quantile datafu.pig.stats.StreamingQuantile('0.0','0.25','0.5','0.75','1.0');
A = load 'mydata' using PigStorage('|') as (grouping:chararray, height:double, weight:double);
Group_A = GROUP A BY grouping;
Quant = FOREACH GROUP_A GENERATE group, Quantile(A.height) as q;
joined = join Quant by group, A by grouping;
grouped = group joined by (grouping, q)
average = foreach grouped generate group, AVG(joined.weight);

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