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postgresql - 帮助改进查询。尝试使用 EXPLAIN

转载 作者:行者123 更新时间:2023-11-29 12:27:57 24 4
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我有一个实际上并不复杂的查询。它需要接近 250 毫秒才能运行,这非常慢。我已经使用 EXPLAIN 分析了查询并注意到了 seq 扫描。我为该查询中使用的所有列设置了适当的索引。所以我不确定从这里去哪里。

这是我所拥有的:

cl_production=# EXPLAIN SELECT count(DISTINCT events.id) AS count_distinct_events_id FROM "events" INNER JOIN "events_tickets" ON "events_tickets".event_id = "events".id INNER JOIN "tickets" ON "tickets".id = "events_tickets".ticket_id WHERE ((events.occurs_at > '2011-08-20 07:00:00.000000') AND (tickets.company_id = 175));
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=15735.79..15735.80 rows=1 width=4)
-> Hash Join (cost=10540.01..15651.89 rows=33562 width=4)
Hash Cond: (events_tickets.event_id = events.id)
-> Hash Join (cost=3510.07..7516.61 rows=33562 width=4)
Hash Cond: (events_tickets.ticket_id = tickets.id)
-> Seq Scan on events_tickets (cost=0.00..1803.80 rows=124980 width=8)
-> Hash (cost=3058.63..3058.63 rows=27475 width=4)
-> Bitmap Heap Scan on tickets (cost=521.19..3058.63 rows=27475 width=4)
Recheck Cond: (company_id = 175)
-> Bitmap Index Scan on index_tickets_on_company_id (cost=0.00..514.33 rows=27475 width=0)
Index Cond: (company_id = 175)
-> Hash (cost=5963.87..5963.87 rows=64965 width=4)
-> Index Scan using index_events_on_occurs_at on events (cost=0.00..5963.87 rows=64965 width=4)
Index Cond: (occurs_at > '2011-08-20 07:00:00'::timestamp without time zone)

如前所述,这是我从模式文件中获得的索引:

add_index "events_tickets", ["event_id", "ticket_id"], :name => "index_events_tickets_on_event_id_and_ticket_id", :unique => true
add_index "events_tickets", ["event_id"], :name => "index_events_tickets_on_event_id"
add_index "events_tickets", ["ticket_id"], :name => "index_events_tickets_on_ticket_id"
add_index "events", ["occurs_at"], :name => "index_events_on_occurs_at"
add_index "tickets", ["company_id"], :name => "index_tickets_on_company_id"

我假设序列扫描是杀死这个查询的原因。我在那张 table 上有非常详尽的索引。所以我迷路了。任何帮助将不胜感激。

谢谢。

最佳答案

您应该执行 EXPLAIN ANALYZE 以获得计划每个节点的实际时间,而不仅仅是成本估算。

也许这种使用半连接而不是 count-distinct 聚合的查询形式会有所帮助:

SELECT COUNT(*)
FROM events
WHERE EXISTS (SELECT 1
FROM events_tickets
JOIN tickets ON tickets.id = events_tickets.ticket_id
WHERE tickets.company_id = 175
AND events_tickets.event_id = events.id)
AND events.occurs_at > '2011-08-20 07:00:00'::timestamp

关于postgresql - 帮助改进查询。尝试使用 EXPLAIN,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/7134247/

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