PostgreSQL COUNT（DISTINCT…）非常慢

我有一个非常简单的SQL查询：

SELECT COUNT(DISTINCT x) FROM table;

我的表大约有150万行。该查询运行缓慢。大约需要7.5秒，而

 SELECT COUNT(x) FROM table;

大约需要435ms。有什么方法可以更改查询以提高性能？我试过分组并进行常规计数，以及在x上放置索引；两者具有相同的7.5s执行时间。

您可以使用此：

SELECT COUNT(*) FROM (SELECT DISTINCT column_name FROM table_name) AS temp;

这比以下要快得多：

COUNT(DISTINCT column_name)

-- My default settings (this is basically a single-session machine, so work_mem is pretty high)
SET effective_cache_size='2048MB';
SET work_mem='16MB';

\echo original
EXPLAIN ANALYZE
SELECT
        COUNT (distinct val) as aantal
FROM one
        ;

\echo group by+count(*)
EXPLAIN ANALYZE
SELECT
        distinct val
       -- , COUNT(*)
FROM one
GROUP BY val;

\echo with CTE
EXPLAIN ANALYZE
WITH agg AS (
    SELECT distinct val
    FROM one
    GROUP BY val
    )
SELECT COUNT (*) as aantal
FROM agg
        ;

结果：

original                                                      QUERY PLAN                                                      
----------------------------------------------------------------------------------------------------------------------
 Aggregate  (cost=36448.06..36448.07 rows=1 width=4) (actual time=1766.472..1766.472 rows=1 loops=1)
   ->  Seq Scan on one  (cost=0.00..32698.45 rows=1499845 width=4) (actual time=31.371..185.914 rows=1499845 loops=1)
 Total runtime: 1766.642 ms
(3 rows)

group by+count(*)
                                                         QUERY PLAN                                                         
----------------------------------------------------------------------------------------------------------------------------
 HashAggregate  (cost=36464.31..36477.31 rows=1300 width=4) (actual time=412.470..412.598 rows=1300 loops=1)
   ->  HashAggregate  (cost=36448.06..36461.06 rows=1300 width=4) (actual time=412.066..412.203 rows=1300 loops=1)
         ->  Seq Scan on one  (cost=0.00..32698.45 rows=1499845 width=4) (actual time=26.134..166.846 rows=1499845 loops=1)
 Total runtime: 412.686 ms
(4 rows)

with CTE
                                                             QUERY PLAN                                                             
------------------------------------------------------------------------------------------------------------------------------------
 Aggregate  (cost=36506.56..36506.57 rows=1 width=0) (actual time=408.239..408.239 rows=1 loops=1)
   CTE agg
     ->  HashAggregate  (cost=36464.31..36477.31 rows=1300 width=4) (actual time=407.704..407.847 rows=1300 loops=1)
           ->  HashAggregate  (cost=36448.06..36461.06 rows=1300 width=4) (actual time=407.320..407.467 rows=1300 loops=1)
                 ->  Seq Scan on one  (cost=0.00..32698.45 rows=1499845 width=4) (actual time=24.321..165.256 rows=1499845 loops=1)
       ->  CTE Scan on agg  (cost=0.00..26.00 rows=1300 width=0) (actual time=407.707..408.154 rows=1300 loops=1)
     Total runtime: 408.300 ms
    (7 rows)

与CTE相同的计划也可能通过其他方法（窗口函数）来制定

如果您count(distinct(x))的速度慢得多，count(x)则可以通过将x值计数保持在不同表中（例如table_name_x_counts (x integer not null, x_count int not null)使用触发器）来加快此查询的速度。但是您的写入性能会受到影响，如果您x在单个事务中更新多个值，则需要以某种明确的顺序执行此操作，以避免可能的死锁。

我也在搜索相同的答案，因为在某个时间点，我需要具有不同值的total_count以及limit / offset。

因为这样做很麻烦-要获得具有不同值以及限制/偏移量的总数。通常很难获得带有限制/偏移量的总数。终于我有了办法-

SELECT DISTINCT COUNT(*) OVER() as total_count, * FROM table_name limit 2 offset 0;

查询性能也很高。