Question

我试图在我的推特数据中找到前十名（@xxxxx）。我创建了初始表twitter.full_text_ts并用我的数据加载它。

create table twitter.full_text_ts as
select id, cast(concat(substr(ts,1,10), ' ', substr(ts,12,8)) as timestamp) as  ts, lat, lon, tweet
from full_text;

我已经能够通过使用此查询（模式）提取推文中的提及

select id, ts, regexp_extract(lower(tweet), '(.*)@user_(\\S{8})([:| ])(.*)',2) as patterns
from twitter.full_text_ts
order by patterns desc
limit 50;

执行此操作会给我

USER_a3ed4b5a   2010-03-07 03:46:23 fffed220
USER_dc8cfa6f   2010-03-05 18:28:39 fffdabf9
USER_dc8cfa6f   2010-03-05 18:32:55 fffdabf9
USER_915e3f8c   2010-03-07 03:39:09 fffdabf9
and so on...

你可以看到fffed220等是提取的模式。

现在我想做的是计算每次提及（模式）的次数并输出前10位。例如fffdabf9发生20次，fffxxxx发生17次，依此类推。

Answer 1

with mentions as 
(select id, ts, 
 regexp_extract(lower(tweet), '(.*)@user_(\\S{8})([:| ])(.*)',2) as patterns
from twitter.full_text_ts
order by patterns desc
limit 50)
select patterns, count(*) 
from mentions
group by patterns
order by count(*) desc
limit 10;

Answer 2

最可读的方法是将第一个查询保存到临时表中，然后在临时表上执行groupby：

create table tmp as
--your query

select patterns, count(*) n_mentions
from tmp
group by patterns
order by count(*) desc
limit 10;

查找数据中的前10个匹配项

2 个答案: