如果你是在PostgreSQL上运行,你可以试试下面这个很酷的查询:
WITH RECURSIVE
r (r, i) AS (
SELECT random(), i
FROM generate_series(1, 1000000) AS t (i)
),
s (ri, s, i) AS (
SELECT i, r, i
FROM r
UNION ALL
SELECT s.ri, r.r + s.s, s.i + 1
FROM r
JOIN s ON r.i = s.i + 1
WHERE r.r + s.s <= 1
),
n (n) AS (
SELECT max(i) - min(i) + 2
FROM s
GROUP BY ri
)
SELECT avg(n)
FROM n
它打印的是什么(经过一段时间)?它打印的是e (几乎是)。这里有一些示例结果:
2.7169115477960698
2.7164145522690296
2.7172065451410937
2.7170815462660836
不完美,当然,这里有一个用SQL写的更好的近似值:
SELECT exp(1);
产生的:
2.718281828459045
足够接近......它是如何工作的?这是一个很酷的近似值,已经被描述过很多次了,例如这里。在散文中。
平均来说,它在0和1之间取e个随机值,直到这些值的总和超过1。
再看一下这个查询:
WITH RECURSIVE
-- "random values between 0 and 1"
r (r, i) AS (
SELECT random(), i
FROM generate_series(1, 1000000) AS t (i)
),
s (ri, s, i) AS (
SELECT i, r, i
FROM r
UNION ALL
SELECT s.ri, r.r + s.s, s.i + 1
FROM r
JOIN s ON r.i = s.i + 1
-- "... until the sum exceeds 1"
WHERE r.r + s.s <= 1
),
-- "number of values taken until ..."
n (n) AS (
SELECT max(i) - min(i) + 2
FROM s
GROUP BY ri
)
-- "on average"
SELECT avg(n)
FROM n