我的查询生成一些关于超速、上次和平均速度的报告。 这是我的查询:
Select
r1 . *, r2.name, r2.notes, r2.serial
From
(SELECT
k.idgps_unit,
MIN(k.dt) AS DT_Start,
MIN(CASE
WHEN k.RowNumber = 1 THEN k.Lat
END) AS Latitude_Start,
MIN(CASE
WHEN k.RowNumber = 1 THEN k.Long
END) AS Longitude_Start,
MIN(CASE
WHEN k.RowNumber = 1 THEN k.Speed_kmh
END) AS Speed_Start,
MAX(k.dt) AS dt_end,
MIN(CASE
WHEN k.RowNumber = MaxRowNo THEN k.Lat
END) AS Latitude_End,
MIN(CASE
WHEN k.RowNumber = MaxRowNo THEN k.Long
END) AS Longitude_End,
MIN(CASE
WHEN k.RowNumber = MaxRowNo THEN k.Speed_kmh
END) AS Speed_End,
AVG(Speed_kmh) AS Average_Speed
FROM
(SELECT
gps_unit_location . *,
@i:=CASE
WHEN Speed_Kmh > 80 AND @b = 0 THEN @i + 1
ELSE @i
END AS IntervalID,
@r:=CASE
WHEN Speed_Kmh > 80 AND @b = 0 THEN 1
ELSE @r + 1
END AS RowNumber,
@b:=CASE
WHEN Speed_Kmh > 80 THEN 1
ELSE 0
END AS IntervalCheck
FROM
gps_unit_location, (SELECT @i:=0) i, (SELECT @r:=0) r, (SELECT @b:=0) b
ORDER BY dt , idgps_unit_location) k
INNER JOIN (SELECT
IntervalID, MAX(RowNumber) AS MaxRowNo
FROM
(SELECT
gps_unit_location . *,
@i:=CASE
WHEN Speed_Kmh > 80 AND @b = 0 THEN @i + 1
ELSE @i
END AS IntervalID,
@r:=CASE
WHEN Speed_Kmh > 80 AND @b = 0 THEN 1
ELSE @r + 1
END AS RowNumber,
@b:=CASE
WHEN Speed_Kmh > 80 THEN 1
ELSE 0
END AS IntervalCheck
FROM
gps_unit_location, (SELECT @i:=0) i, (SELECT @r:=0) r, (SELECT @b:=0) b
ORDER BY dt , idgps_unit_location) d
WHERE
IntervalCheck = 1
GROUP BY IntervalID) MaxInt ON MaxInt.IntervalID = k.IntervalID
WHERE
k.IntervalCheck = 1
and k.idgps_unit in (SELECT
idgps_unit
FROM
instafleet.gps_unit
where
id_customer = (select
idcustomer
from
user
where
iduser = 14))
GROUP BY k.IntervalID , k.idgps_unit) r1
Inner join
gps_unit r2 ON r1.idgps_unit = r2.idgps_unit
目前783,723条记录需要3分钟。我认为适当的索引可能会有所帮助;尽管经过反复试验,我无法弄清楚。如果您认为自己可以提供帮助,并且需要一些额外的信息 - 我很乐意为您提供。
解释
结果
最佳答案
添加索引在很多情况下都有帮助,但是您有一个子查询加入另一个子查询,当前表上没有索引可以帮助您加快速度。您可以在此处使用索引的唯一方法是创建临时表。
因此,正如 Markus 指出的那样,您需要将查询分成几个较小的查询,将它们的结果存储在一个临时表中。比您可以向它们添加索引并希望加速您的查询。将大查询分解为几个较小的查询的另一个好处是,您可以更好地分析哪部分是较慢的部分并修复它。
您还使用了一个子查询两次,这对性能不利,因为结果未被缓存。
这是一个如何做到这一点的例子:
DROP TEMPORARY TABLE IF EXISTS tmp_k;
CREATE TEMPORARY TABLE tmp_k
ENGINE=Memory
SELECT
gps_unit_location.*,
@i:= IF(((Speed_Kmh > 80) AND (@b = 0)), @i + 1, @i) AS IntervalID,
@r:= IF(((Speed_Kmh > 80) AND (@b = 0)), 1, @r + 1) AS RowNumber,
@b:= IF((Speed_Kmh > 80), 1, 0) AS IntervalCheck
FROM
gps_unit_location,
(SELECT @i:=0) i,
(SELECT @r:=0) r,
(SELECT @b:=0) b
ORDER BY
dt,
idgps_unit_location;
ALTER TABLE tmp_k ADD INDEX (IntervalID);
DROP TEMPORARY TABLE IF EXISTS tmp_max;
CREATE TEMPORARY TABLE tmp_max
ENGINE=Memory
SELECT
IntervalID,
MAX(RowNumber) AS MaxRowNo
FROM
temp_k
WHERE
IntervalCheck = 1
GROUP BY
IntervalID;
ALTER TABLE tmp_max ADD INDEX (IntervalID);
SELECT
k.idgps_unit,
MIN(k.dt) AS DT_Start,
MIN(IF(k.RowNumber = 1, k.Lat, NULL)) AS Latitude_Start,
MIN(IF(k.RowNumber = 1, k.Long, NULL)) AS Longitude_Start,
MIN(IF(k.RowNumber = 1, k.Speed_kmh, NULL) AS Speed_Start,
MAX(k.dt) AS DT_End,
MIN(IF(k.RowNumber = m.MaxRowNo, k.Lat, NULL)) AS Latitude_End
MIN(IF(k.RowNumber = m.MaxRowNo, k.Long, NULL)) AS Longitude_End
MIN(IF(k.RowNumber = m.MaxRowNo, k.Speed_kmh, NULL)) AS Speed_End,
AVG(Speed_kmh) AS Average_Speed,
gu.name,
gu.notes,
gu.serial
FROM
tmp_k AS k
INNER JOIN tmp_max AS m
USING(IntervalID)
INNER JOIN gps_unit AS gu
USING(idgps_unit)
INNER JOIN user AS u
ON (gu.idcustomer = u.idcustomer)
WHERE
(k.IntervalCheck = 1)
AND (u.iduser = 14)
GROUP BY
k.IntervalID,
k.idgps_unit;
DROP TEMPORARY TABLE tmp_k;
DROP TEMPORARY TABLE tmp_max;
关于mysql - 查询优化——花费太长时间并停止服务器,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/15367719/