加快PHP中的MySQL查询速度

时间:2013-07-12 20:09:38

标签: php mysql

说,我有一张给定here的表格。该表具有以下结构(测试日,学生姓名和获得的标记)

D       NAME    MARKS
2001-01-01  a   1
2001-01-04  a   4
2001-01-06  a   3
2001-01-08  a   3
2001-01-01  b   1
2001-01-10  b   15
2001-01-01  c   1
2001-01-06  c   2
2001-01-08  c   5
2001-01-10  c   7

我想通过给那些没有参加每个考试的学生的0分来更新表格。更新表应该看起来像this

D   NAME    MARKS
2001-01-01  a   1
2001-01-02  a   0
2001-01-04  a   4
2001-01-06  a   3
2001-01-08  a   3
2001-01-02  a   0
2001-01-01  b   1
2001-01-02  b   0
2001-01-04  b   0
2001-01-06  b   0
2001-01-08  b   0
2001-01-10  b   15
2001-01-01  c   1
2001-01-02  c   2
2001-01-04  c   0
2001-01-06  c   0
2001-01-08  c   5
2001-01-10  c   7

到目前为止,我能想出的唯一解决方案(非常慢的查询)是:

SELECT DISTINCT(D) FROM tableA;
SELECT DISTINCT(NAME) FROM tableA;

使用PHP,在嵌套循环中进行SQL查询

INSERT IGNORE (D,NAME,MARKS)($D,$NAME,0);

然而,整个代码花费了太多时间(以分钟为单位),因为行数超过50k。

有什么更好的建议吗?

1 个答案:

答案 0 :(得分:4)

可能会对可能的日期和可能的名称进行交叉连接,并且与当前结果保持联接: -

INSERT INTO A (D, name, marks)
SELECT Dates.D, Names.name, 0
FROM (SELECT DISTINCT D FROM A) Dates
CROSS JOIN  (SELECT DISTINCT name FROM A) Names
LEFT OUTER JOIN A
ON Dates.D = A.D AND Names.name = A.name
WHERE A.name IS NULL

请注意,这确实假设每天至少有一个人有标记。

如果你有一个名字表和一个日期表,那就更好了,只是在表A中使用了这些行的ID

如果您想在一系列日期中执行此操作,即使当天没有人标记: -

INSERT INTO A (D, name, marks)
SELECT Dates.aDate, Names.name, 0
FROM 
(
    SELECT DATE_ADD('2001-01-01', INTERVAL units.i + tens.i * 10 + hundreds.i * 100 DAY) AS aDate
    FROM (SELECT 0 AS i UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) units
    CROSS JOIN (SELECT 0 AS i UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) tens
    CROSS JOIN (SELECT 0 AS i UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) hundreds
    HAVING aDate BETWEEN '2001-01-01' AND '2001-12-30'
) Dates
CROSS JOIN  
(
    SELECT DISTINCT name 
    FROM A
) Names
LEFT OUTER JOIN A
ON Dates.aDate = A.D AND Names.name = A.name
WHERE A.name IS NULL