在 Postgres 中加入两个子查询

Question

尝试对两个子查询运行内部联接，但收到错误消息：

org.postgresql.util.PSQLException: ERROR: syntax error at or near "JOIN"
  Position: 550
  GROUP BY year 
JOIN temp ON temp.year = MN.ye
^
  -- INNER JOIN (

这是我的查询

   WITH temp as(
      SELECT 
        SUM(CASE WHEN rain = 'TRUE' THEN 1 END)*1.0/COUNT(date) * 100 as rain, 
        EXTRACT(YEAR FROM date) as year 
        FROM sample
      GROUP BY year
      )
    SELECT AVG(mind) as avg_min,
        AVG(maxd) as avg_max,
        EXTRACT(YEAR FROM date) as year
      FROM sample MN
      GROUP BY year 
    JOIN temp ON temp.year = MN.year

和我的数据样本

date    prcp    maxd    mind    rain
1948-01-01 00:00:00 0.47    51  42  TRUE
1948-01-02 00:00:00 0.59    45  36  TRUE
1948-01-03 00:00:00 0.42    45  35  TRUE
1948-01-04 00:00:00 0.31    45  34  TRUE
1948-01-05 00:00:00 0.17    45  32  TRUE
1948-01-06 00:00:00 0.44    48  39  TRUE
1948-01-07 00:00:00 0.41    50  40  TRUE
1948-01-08 00:00:00 0.04    48  35  TRUE
1948-01-09 00:00:00 0.12    50  31  TRUE
1948-01-10 00:00:00 0.74    43  34  TRUE
1948-01-11 00:00:00 0.01    42  32  TRUE
1948-01-12 00:00:00 0   41  26  FALSE
1948-01-13 00:00:00 0   45  29  FALSE
1948-01-14 00:00:00 0   38  26  FALSE
1948-01-15 00:00:00 0   34  31  FALSE
1948-01-16 00:00:00 0   34  28  FALSE
1948-01-17 00:00:00 0   35  29  FALSE
1948-01-18 00:00:00 0   33  28  FALSE
1948-01-19 00:00:00 0   34  27  FALSE
1948-01-20 00:00:00 0   36  29  FALSE
1948-01-21 00:00:00 0   48  32  FALSE
1948-01-22 00:00:00 0.21    47  44  TRUE
1948-01-23 00:00:00 0   47  43  FALSE
1948-01-24 00:00:00 0.1 45  34  TRUE
1948-01-25 00:00:00 0   46  30  FALSE
1948-01-26 00:00:00 0   45  32  FALSE
1948-01-27 00:00:00 0   53  33  FALSE
1948-01-28 00:00:00 0   53  25  FALSE
1948-01-29 00:00:00 0.22    42  34  TRUE
1948-01-30 00:00:00 0.03    47  30  TRUE
1948-01-31 00:00:00 0.21    35  27  TRUE

我的理想结果是类似这样的

avg_tmin, avg_tmax, avg_rain, year
 x          x         x       1948
 x          x         x       1949
...  

所以我的数据集中每年的平均思想（tmin），maxd（tmax）和降雨

Answer 1

我不明白您的查询试图实现的逻辑。 但是，从您的示例数据和预期结果来看，您似乎只想要聚合：

select
    avg(mind) avg_mind,
    avg(maxd) avg_maxd,
    avg( (rain)::int ) avg_rain,
    extract(year from date) year
from sample
group by extract(year from date)

Answer 2

我认为不需要 JOIN 开始：

SELECT count(*) filter (where rain = 'TRUE') * 1.0  / count(*) as rain, 
       AVG(mind) as avg_min,
       AVG(maxd) as avg_max,
       EXTRACT(YEAR FROM date) as year 
FROM sample
GROUP BY year

---

以上是做你想做的最有效的方法。

但是，要回答为什么您的代码不起作用的直接问题：您需要在加入后移动组，并且不能在定义它的同一级别 ( mn ) 上使用列别名year ：

WITH temp as (
  SELECT count(*) filter (where rain = 'TRUE') *1.0 / COUNT(date) * 100 as rain, 
         EXTRACT(YEAR FROM date) as year 
  FROM sample
  GROUP BY year
), 
SELECT AVG(mn.mind) as avg_min,
       AVG(mn.maxd) as avg_max,
       tmp.year 
FROM sample MN
  JOIN temp ON temp.year = EXTRACT(YEAR FROM mn.date)
GROUP BY tmp.year 

请注意，这不使用 CTE 中的rain列。 如果要添加它，则需要通过以下方式将其包含在组中：

WITH temp as (
  SELECT count(*) filter (where rain = 'TRUE') *1.0 / COUNT(date) * 100 as rain, 
         EXTRACT(YEAR FROM date) as year 
  FROM sample
  GROUP BY year
), 
SELECT AVG(mn.mind) as avg_min,
       AVG(mn.maxd) as avg_max,
       tmp.year, 
       tmp.rain
FROM sample MN
  JOIN temp ON temp.year = EXTRACT(YEAR FROM mn.date)
GROUP BY tmp.year, tmp.rain

或者将其拆分为两个连接的聚合查询。

WITH temp1 as (
  SELECT count(*) filter (where rain = 'TRUE') *1.0 / COUNT(date) * 100 as rain, 
         EXTRACT(YEAR FROM date) as year 
  FROM sample
  GROUP BY year
), temp2 as (
  SELECT AVG(mind) as avg_min,
         AVG(maxd) as avg_max,
         EXTRACT(YEAR FROM date) as year 
  FROM sample MN
  GROUP BY year 
)
select *
from temp1
  join temp2 using (year);  

但同样：不需要加入，这会降低整个事情的效率。