[英]MySQL Multiple Subqueries vs. whole queries
我想知道從MySQL數據庫獲取數據的哪種方式具有更好的性能特征。
在一個主查詢中使用子查詢:
SELECT
(SELECT SUM(`number`) FROM `table`) as `number_sum`,
(SELECT MAX(`number`) FROM `table`) as `number_max`,
(SELECT MIN(`number`) FROM `table`) as `number_min`
或者,3個不同的SELECT
語句檢索相同的數據。
提前致謝!
由於這三個聚合來自具有相同WHERE
條件的同一個表,因此您不需要子選擇。 所有三個聚合都在相同的行分組上運行(沒有指定GROUP BY
,因此整個表都有一行),因此它們都可以直接存在於SELECT
列表中。
SELECT
SUM(number) AS number_sum,
MAX(number) AS number_max,
MIN(number) AS number_min
FROM `table`
如果任何聚合需要基於您在WHERE
子句中過濾的不同條件,那么您將需要對不同的條件使用子選擇,或者進行笛卡爾連接。 對於僅返回一行的聚合,此子選擇和以下LEFT JOIN
方法應該是等效的,性能方面:
SELECT
/* Unique filtering condition - must be done in a subselect */
(SELECT SUM(number) FROM `table` WHERE `somecolumn` = `somevalue`) AS number_sum,
MAX(number) AS number_max,
MIN(number) AS number_min
FROM `table`
或者等效於上面的查詢,您可以對沒有ON
子句的子查詢LEFT JOIN
。 只有當您知道子查詢只返回一行時才應該這樣做。 否則,您將得到一個笛卡爾積 - 由連接的一側返回的行數乘以另一側返回的行數。
這是方便,如果你需要用一組返回幾列WHERE
子句條件和幾列一組不同的WHERE
條件,但是從每邊只有一排的JOIN
。 在這種情況下, JOIN
應該比使用相同WHERE
子句執行兩個子選擇更快。
這應該更快......
SELECT
/* this one has two aggregates sharing a WHERE condition */
subq.number_sum_filtered,
subq.number_max_filtered,
/* ...and two aggregates on the main table with no WHERE clause filtering */
MAX(`table`.number) AS number_max,
MIN(`table`.number) AS number_min
FROM
`table`
LEFT JOIN (
SELECT
SUM(number) AS number_sum_filtered,
MAX(number) AS number_max_filtered
FROM `table`
WHERE `somecolumn = `somevalue`
) subq /* No ON clause here since there's no common column to join on... */
比這個...
SELECT
/* Two different subselects each over the same filtered set */
(SELECT SUM(number) FROM `table` WHERE `somecolumn` = `somevalue`) AS number_sum_filtered,
(SELECT MAX(number) FROM `table` WHERE `somecolumn` = `somevalue`) AS number_max_filtered,
MAX(`table`.number) AS number_max,
MIN(`table`.number) AS number_min
FROM
`table`
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