问题描述
我有一个包含大约 700 万条记录的表，想知道如何加快此查询的速度：
SELECT sold_at as m,AVG(sold_price) as sold_avg,SUM(sold_price) as sold_sum,MIN(sold_price) as sold_min,MAX(sold_price) as sold_max,MEDIAN(sold_price) as sold_median
FROM listings l
INNER JOIN styles s ON s.id = l.style_id
INNER JOIN addresses a on a.id = l.address_id
WHERE municipality = 'Toronto'
AND status_id = 3
AND sold_at >= '2000-01-01'
AND sold_at < '2020-12-01'
AND is_rental = false
and lower(s.name) = lower('detached house')
group by 1
order by 1;
运行大约需要 15 秒。我希望能够实时绘制此时间序列数据，但此查询太慢了。
这里是解释分析：
GroupAggregate (cost=734376.47..736238.98 rows=6043 width=168) (actual time=14270.391..14487.870 rows=6539 loops=1)
Group Key: l.sold_at
-> Sort (cost=734376.47..734413.77 rows=14921 width=14) (actual time=14270.016..14291.047 rows=217907 loops=1)
Sort Key: l.sold_at
Sort Method: external merge disk: 5208kB
-> nested Loop (cost=8751.70..733342.07 rows=14921 width=14) (actual time=352.173..14169.688 rows=217907 loops=1)
-> Hash Join (cost=8751.27..629773.16 rows=15243 width=22) (actual time=352.084..12756.543 rows=218943 loops=1)
Hash Cond: (l.style_id = s.id)
-> Bitmap Heap Scan on listings l (cost=8750.08..629122.23 rows=182916 width=26) (actual time=351.995..12621.513 rows=635687 loops=1)
Recheck Cond: ((municipality = 'Toronto'::text) AND (status_id = 3) AND (sold_at >= '2000-01-01 00:00:00-05'::timestamp with time zone) AND (sold_at < '2020-12-01 00:00:00-05'::timestamp with time zone))
Rows Removed by Index Recheck: 1463154
Filter: (NOT is_rental)
Rows Removed by Filter: 117250
Heap Blocks: exact=53497 lossy=433073
-> Bitmap Index Scan on muni_status_sold_at_is_rental_idx (cost=0.00..8704.35 rows=182916 width=0) (actual time=340.924..340.925 rows=635687 loops=1)
Index Cond: ((municipality = 'Toronto'::text) AND (status_id = 3) AND (sold_at >= '2000-01-01 00:00:00-05'::timestamp with time zone) AND (sold_at < '2020-12-01 00:00:00-05'::timestamp with time zone) AND (is_rental = false))
-> Hash (cost=1.18..1.18 rows=1 width=4) (actual time=0.041..0.041 rows=1 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 9kB
-> Seq Scan on styles s (cost=0.00..1.18 rows=1 width=4) (actual time=0.026..0.030 rows=1 loops=1)
Filter: (lower(name) = 'detached house'::text)
Rows Removed by Filter: 11
-> Index Only Scan using addresses_pkey on addresses a (cost=0.43..6.79 rows=1 width=8) (actual time=0.006..0.006 rows=1 loops=218943)
Index Cond: (id = l.address_id)
Heap Fetches: 217907
Planning Time: 4.145 ms
Execution Time: 14490.964 ms
解决方法
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