我有巨大的表,每分钟都有数据行。一些列是用的差值计算的,最后的值是之前的最后一个区间的值。但是有什么方法可以加快查询速度吗?已经有主索引和日期索引了。不应该创建任何额外的索引。目前,大约有500.000行的查询运行在11s左右。
这个问题接近DATE_SUB()函数的计算结果。
MySQL: 10.1.44-MariaDB-0ubuntu0.18.04.1
PHP: 7.2.24-0ubuntu0.18.04.3
*id* || *select_type* || *table* || *type* || *possible_keys* || *key* || *key_len* || *ref* || *rows* || *filtered* || *Extra*
1 || PRIMARY || a10 || ALL || date || || || || 513754 || 21.86 || Using where; Using temporary; Using filesort
4 || DEPENDENT SUBQUERY || table_min || index || date || date || 5 || || 1 || 100.00 || Using where
3 || DEPENDENT SUBQUERY || table_min || index || date || date || 5 || || 1 || 100.00 || Using where
2 || DEPENDENT SUBQUERY || table_min || index || date || date || 5 || || 1 || 100.00 || Using where查询:
EXPLAIN EXTENDED
SELECT SQL_CALC_FOUND_ROWS tm.date,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD10_float ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-44-2`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD14_float ORDER BY tm.date DESC),
",", 1) AS double) AS `10-45-3`, MIN(tm.DB221_DBD218_float
) AS `10-2-4`,
MAX(tm.DB221_DBD218_float) AS `10-2-5`, MIN(tm.DB221_DBD222_float) AS `10-3-6`,
MAX(tm.DB221_DBD222_float) AS `10-3-7`, MIN(tm.DB221_DBD278_float) AS `10-4-8`,
MAX(tm.DB221_DBD278_float) AS `10-4-9`, (CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB222_DBD10_integer
ORDER BY tm.date DESC), ",", 1) AS double) -
(
SELECT DB222_DBD10_integer
FROM table_min
WHERE date <= DATE_SUB(tm.date, INTERVAL 1 DAY)
ORDER BY date DESC
LIMIT 1)
) AS `10-18-10`,
(CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB222_DBD46_integer
ORDER BY tm.date DESC),
",", 1) AS double) - (
SELECT DB222_DBD46_integer
FROM table_min
WHERE date <= DATE_SUB(tm.date, INTERVAL 1 DAY)
ORDER BY date DESC
LIMIT 1)
) AS `10-36-11`,
(CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB222_DBD50_integer
ORDER BY tm.date DESC),
",", 1) AS double
) - (
SELECT DB222_DBD50_integer
FROM table_min
WHERE date <= DATE_SUB(tm.date, INTERVAL 1 DAY)
ORDER BY date DESC
LIMIT 1)
) AS `10-37-12`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD124_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-47-13`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD120_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-46-14`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD128_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-48-15`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD132_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-49-17`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD136_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-50-18`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD140_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-51-19`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD144_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-52-21`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD148_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-53-22`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD310_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-54-24`,
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD314_float
ORDER BY tm.date DESC),
",", 1) AS double
) AS `10-55-25`,
(CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD310_float
ORDER BY tm.date DESC),
",",
",", 1) AS double),NULL)) AS `10-0-26`,
1) AS double)/NULLIF(CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB223_DBD314_float
ORDER BY tm.date DESC),
CAST(SUBSTRING_INDEX(GROUP_CONCAT(tm.DB221_DBD538_float
ORDER BY tm.date DESC),
",", 1) AS double) AS `10-31-27`,
MIN(tm.DB221_DBD326_float) AS `10-9-28`,
MAX(tm.DB221_DBD326_float) AS `10-9-29`,
MIN(tm.DB221_DBD450_float) AS `10-29-30`,
MAX(tm.DB221_DBD450_float) AS `10-29-31`,
MIN(tm.DB221_DBD406_float) AS `10-27-32`,
MAX(tm.DB221_DBD406_float) AS `10-27-33`,
MIN(tm.DB221_DBD562_float) AS `10-41-34`,
MAX(tm.DB221_DBD562_float) AS `10-41-35`
FROM table_min AS tm WHERE tm.date>="2020-01-01 00:00"
AND tm.date<="2020-01-31 23:59:59"
GROUP BY YEAR(tm.date), MONTH(tm.date), DAY(tm.date)
ORDER BY tm.date
LIMIT 0,20今年开始的数据转储:min.zip
发布于 2020-03-27 23:50:31
id,把date推广到PK?SQL_CALC_FOUND_ROWS强制遍历所有选定的行。你能把它扔掉吗?LIMIT 0,20 --这是“分页”的序曲吗?如果是这样的话,它对记得你停下来的地方吗的效率要高得多。GROUP BY YEAR(tm.date), MONTH(tm.date), DAY(tm.date) ORDER BY tm.date可能导致两种情况。(请参见EXPLAIN FORMAT=JSON SELECT ...进行验证。我认为,这将避免第二类,更简单,但可能不会更快:GROUP BY DATE(tm.date) ORDER BY DATE(tm.date)。请注意,他们现在说的是相同的东西,从而避免了额外的排序。SELECT tm.date ... GROUP BY ...是不适当的,也要改变它。SELECTs。)https://stackoverflow.com/questions/60863384
复制相似问题