我有以下查询产生预期结果,但速度非常慢(大约需要10秒。在我的开发环境中,gstats表有大约130k行,并且生产量要大得多):
SELECT count(d.id) AS dcount, s.id, s.name
FROM sites s
LEFT JOIN deals d ON (s.id = d.site_id AND d.is_active = 1)
WHERE (s.is_active = 1)
AND s.id IN(
SELECT g.site_id
FROM gstats g
WHERE g.start_date > '2015-04-30'
GROUP BY g.site_id
HAVING SUM(g.results) > 100
)
GROUP BY s.id
ORDER BY dcount ASC
我做错了吗?我怎样才能加快速度呢?
使用视图帮助添加索引吗?
答案 0 :(得分:1)
快速解决方法是在子查询中过滤:
SELECT count(d.id) AS dcount, s.id, s.name
FROM sites s
LEFT JOIN deals d ON (s.id = d.site_id AND d.is_active = 1)
WHERE (s.is_active = 1)
AND s.id IN(
SELECT g.site_id
FROM gstats g
WHERE g.start_date > '2015-04-30' AND g.site_id = s.id
GROUP BY g.site_id
HAVING SUM(g.results) > 100
)
GROUP BY s.id
ORDER BY dcount ASC
否则,您会为每个可能的候选人执行此类分组查询。我们可以使用EXISTS
:
SELECT count(d.id) AS dcount, s.id, s.name
FROM sites s
LEFT JOIN deals d ON (s.id = d.site_id AND d.is_active = 1)
WHERE (s.is_active = 1)
AND EXISTS (
SELECT 1
FROM gstats g
WHERE g.site_id = s.id AND g.start_date > '2015-04-30'
HAVING SUM(g.results) > 100
)
GROUP BY s.id
ORDER BY dcount ASC
但我们还没有完成,现在我们将EXISTS
用于每个元素。这很奇怪,因为查询仅取决于s.id
,因此它仅取决于组,而不是单个行。所以潜在的加速,但这取决于表的大小等,是将条件移动到HAVING
语句:
SELECT count(d.id) AS dcount, s.id, s.name
FROM sites s
LEFT JOIN deals d ON (s.id = d.site_id AND d.is_active = 1)
WHERE (s.is_active = 1)
GROUP BY s.id
ORDER BY dcount ASC
HAVING EXISTS (
SELECT 1
FROM gstats g
WHERE g.site_id = s.id AND g.start_date > '2015-04-30'
HAVING SUM(g.results) > 100
)
答案 1 :(得分:1)
尝试将子查询移动到FROM
子句:
SELECT count(d.id) AS dcount, s.id, s.name
FROM sites s JOIN
(SELECT g.site_id
FROM gstats g
WHERE g.start_date > '2015-04-30'
GROUP BY g.site_id
HAVING SUM(g.results) > 100
) g
ON g.site_id = s.site_id LEFT JOIN
deals d
ON s.id = d.site_id AND d.is_active = 1
WHERE s.is_active = 1
GROUP BY s.id
ORDER BY dcount ASC;
我假设您在join
列上有索引。您可能还会发现这有助于提高性能:
SELECT s.id, s.name,
(SELECT COUNT(*)
FROM deals d
WHERE d.site_id = s.id AND d.is_active = 1
) as dcount
FROM sites s JOIN
(SELECT g.site_id
FROM gstats g
WHERE g.start_date > '2015-04-30'
GROUP BY g.site_id
HAVING SUM(g.results) > 100
) g
ON g.site_id = s.site_id
WHERE s.is_active = 1
ORDER BY dcount ASC;
对于此版本,您需要deals(site_id, is_active)
上的索引。
答案 2 :(得分:0)
查询看起来很好。我建议使用以下索引:
create index idx_gstats on gstats(start_date, results, site_id);
create index idx_deals1 on deals(is_active, site_id);
create index idx_deals2 on deals(site_id, is_active);
然后查看查询的执行计划并删除未使用的交易索引。