响应太大而无法返回限制1; [英] Response too large to return with LIMIT 1;
问题描述
SELECT * FROM(
) SELECT a.title,a.counter,MAX(b.num_characters)as max
FROM(
SELECT title,count(*)as counter FROM publicdata:samples.wikipedia
GROUP EACH BY标题
ORDER BY counter DESC
LIMIT 10
)a JOIN
(SELECT title,num_characters FROM publicdata:samples.wikipedia
)b ON a.title = b.title
GROUP BY a.title,a.counter)
LIMIT 1;
虽然这是有效的,但我得到的回复太大而无法返回。第一个子查询运行良好,我想要做的是获得更多的列。但是我失败了。
不要担心限制1,在到达该阶段之前,响应会变得太大。
尝试跳过第二个子查询,因为它仅从大数据集中选择2列,而不进行过滤。一个可行的替代方案是:
$ pre $ SELECT
a.title,a.counter,MAX(b.num_characters)AS max
FROM
publicdata:samples.wikipedia b JOIN(
SELECT
title,COUNT(*)AS计数器
FROM
publicdata:samples.wikipedia
GROUP EACH BY标题
ORDER BY
计数器DESC
LIMIT 10)a
ON a.title = b.title
GROUP BY
a。 title,
.counter
运行时间为15.4秒。
我们可以更快地使用TOP():
$ b
SELECT
a .title title,counter,MAX(num_characters)max
FROM
publicdata:samples.wikipedia b
JOIN
(
SELECT
TOP(title,10 )AS标题,COUNT(*)AS计数器
FROM
publicdata:samples.wikipedia
)a
ON a.title = b.title
GROUP BY
TOP()的作用更简单更快(SELECT COUNT(*)/ GROUP / LIMIT)。
https://developers.google.com / bigquery / docs / query-reference#top-function
现在只运行6.5s,处理15.9 GB。 b
I was playing with bigquery and ran into a problem, my Query was:
SELECT * FROM (
SELECT a.title, a.counter , MAX(b.num_characters) as max
FROM (
SELECT title, count(*) as counter FROM publicdata:samples.wikipedia
GROUP EACH BY title
ORDER BY counter DESC
LIMIT 10
) a JOIN
(SELECT title,num_characters FROM publicdata:samples.wikipedia
) b ON a.title = b.title
GROUP BY a.title, a.counter)
LIMIT 1;
Although this is valid, I'm getting response too large to return. The first Subquery is running fine, what I want to do is get a bit more column for it. But I fail.
解决方案 Don't worry about the "limit 1", the response gets too large before reaching that stage.
Try skipping the second subquery, as it is only selecting 2 columns from the large dataset, without filtering it. A working alternative is:
SELECT
a.title, a.counter, MAX(b.num_characters) AS max
FROM
publicdata:samples.wikipedia b JOIN(
SELECT
title, COUNT(*) AS counter
FROM
publicdata:samples.wikipedia
GROUP EACH BY title
ORDER BY
counter DESC
LIMIT 10) a
ON a.title = b.title
GROUP BY
a.title,
a.counter
This runs in 15.4 seconds.
We can do it faster, using TOP():
SELECT
a.title title, counter, MAX(num_characters) max
FROM
publicdata:samples.wikipedia b
JOIN
(
SELECT
TOP(title, 10) AS title, COUNT(*) AS counter
FROM
publicdata:samples.wikipedia
) a
ON a.title=b.title
GROUP BY
title, counter
TOP() acts as a simpler and faster (SELECT COUNT(*)/GROUP/LIMIT).
https://developers.google.com/bigquery/docs/query-reference#top-function
Now it runs in only 6.5s, processing 15.9 GB.
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