我有分组和汇总的数据,看起来像这样 -
Date Country Browser Count
---- ------- ------- -----
2015-07-11,US,Chrome,13
2015-07-11,US,Opera Mini,1
2015-07-11,US,Firefox,2
2015-07-11,US,IE,1
2015-07-11,US,Safari,1
...
2015-07-11,UK,Chrome Mobile,1026
2015-07-11,UK,IE,455
2015-07-11,UK,Mobile Safari,4782
2015-07-11,UK,Mobile Firefox,40
...
2015-07-11,DE,Android browser,1316
2015-07-11,DE,Opera Mini,3
2015-07-11,DE,PS4 Web browser,11
我希望每个国家/地区获得前n个浏览器(按计数),并希望将其余浏览器汇总到其他'其他'。我查看了Pig的内置TOP功能,但是如何在其他地方进行分组。我想要的结果,例如(n = 2) - >
2015-07-11,US,Chrome,13
2015-07-11,US,Firefox,2
2015-07-11,US,Other,3
最好的方法是什么?
答案 0 :(得分:1)
好的..这个要求很好..
我只是在Pig脚本的LOAD语句中使用你的输入。
输入:
2015-07-11,US,Chrome,13
2015-07-11,US,Opera Mini,1
2015-07-11,US,Firefox,2
2015-07-11,US,IE,1
2015-07-11,US,Safari,1
2015-07-11,UK,Chrome Mobile,1026
2015-07-11,UK,IE,455
2015-07-11,UK,Mobile Safari,4782
2015-07-11,UK,Mobile Firefox,40
2015-07-11,DE,Android browser,1316
2015-07-11,DE,Opera Mini,3
2015-07-11,DE,PS4 Web browser,11
2015-07-11,US,Chrome,13
2015-07-11,US,Firefox,2
2015-07-11,US,Other,3
以下是对此的编码。
你可以将n参数的值传递给pig脚本,目前我在LIMIT语句中为n设置值2(即n = 2)。
实际上我在下面的代码中硬编码了n = 2.
records = LOAD '/user/cloudera/inputfiles/entries.txt' USING PigStorage(',') as (dt:chararray,country:chararray,browser:chararray,count:int);
records_each = FOREACH(GROUP records BY (dt,country,browser)) GENERATE flatten(group) AS (dt,country,browser), MAX(records.count) as counts;
records_grp_order = ORDER records_each BY dt ASC , country ASC , counts DESC;
records_grp = GROUP records_grp_order BY (dt, country);
rec_each = FOREACH records_grp {
top_2_recs = LIMIT records_grp_order 2;
generate MAX(top_2_recs.dt) AS temp_dt, MAX(top_2_recs.country) AS temp_country, flatten(top_2_recs.browser) AS temp_browser;
};
rec_join = JOIN records_each BY (dt,country,browser) left outer , rec_each BY (temp_dt,temp_country,temp_browser);
rec_join_each = FOREACH rec_join generate dt,country, (temp_browser is not null ? browser : 'OTHERS') AS browser, counts AS counts;
rec_final_grp = GROUP rec_join_each BY (dt,country,browser);
final_output = FOREACH rec_final_grp generate flatten(group) AS (dt,country,browser), SUM(rec_join_each.counts) AS total_counts;
sorted_output = ORDER final_output BY dt ASC , country ASC, total_counts DESC;
dump sorted_output;
输出
(2015-07-11,DE,Android browser,1316)
(2015-07-11,DE,PS4 Web browser,11)
(2015-07-11,DE,OTHERS,3)
(2015-07-11,UK,Mobile Safari,4782)
(2015-07-11,UK,Chrome Mobile,1026)
(2015-07-11,UK,OTHERS,495)
(2015-07-11,US,Chrome,13)
(2015-07-11,US,OTHERS,3)
(2015-07-11,US,Firefox,2)