我正在尝试查询Google
BigQuery公共Reddit数据集。我的目标是使用Jaccards’Index来计算子reddit的相似性，该索引的定义如下：

我的计划是在2016年8月按评论数选择前N = 1000个子项，然后计算其笛卡尔积，以得到subreddit1, subreddit2形状中所有子项的组合。

然后使用这些组合的行来查询subreddit1和subreddit 2之间的用户并集以及交集。

我到目前为止的查询是这样的：

SELECT 
  subreddit1,
  subreddit2,
  (SELECT 
    COUNT(DISTINCT author)
  FROM `fh-bigquery.reddit_comments.2016_08`
  WHERE subreddit = subreddit1
    OR subreddit = subreddit2
  LIMIT 1
  ) as subreddits_union,

  (
    SELECT 
      COUNT(DISTINCT author)
    FROM `fh-bigquery.reddit_comments.2016_08`
    WHERE subreddit = subreddit1
    AND author IN ( 
       SELECT author 
       FROM `fh-bigquery.reddit_comments.2016_08`
       WHERE subreddit= subreddit2
       GROUP BY author 
      ) as subreddits_intersection

FROM

(SELECT a.subreddit as subreddit1, b.subreddit as subreddit2
 FROM  (
   SELECT subreddit, count(*) as n_comments
   FROM `fh-bigquery.reddit_comments.2016_08`
   GROUP BY subreddit
   ORDER BY n_comments DESC
   LIMIT 1000
   ) a
 CROSS JOIN (
   SELECT subreddit, count(*) as n_comments
   FROM `fh-bigquery.reddit_comments.2016_08`
   GROUP BY subreddit
   ORDER BY n_comments DESC
   LIMIT 1000
   ) b
 WHERE a.subreddit < b.subreddit
  )

理想情况下会给出以下结果：

subreddit1, subreddit2, subreddits_union, subreddits_interception
-----------------------------------------------------------------
   Art     |  Politics |      50000      |      21000
   Art     |  Science  |      92320      |      15000
   ...     |  ...      |      ...        |      ...

但是，此查询给我以下BigQuery错误： Error: Correlated subqueries that reference other tables are not supported unless they can be de-correlated, such as by transforming them into an efficient JOIN.

我了解的。但是，我认为此查询不能转换为有效的联接。鉴于BQ没有apply方法，是否有任何方法可以设置此查询而无需诉诸单个查询？也许有一个PARTITION BY？