[英]Performantly update table with 2 million rows with Postgres/PostGIS
我有兩張桌子:
properties
(geo_point POINT、locality_id INTEGER、neighborhood_id INTEGER、id UUID)places_temp
(id INTEGER,poly GEOMETRY,placetype TEXT) 注意: places_temp
中的所有列都已編入索引。
properties
有大約 200 萬行,我想:
places_temp
中的id
更新properties
中每一行的locality_id
和neighborhood_id
,其中properties.geo_point
包含在places_temp.poly
中的多邊形中無論我做什么,它似乎都會掛幾個小時,在此期間我不知道它是否正常工作,連接丟失等。
關於如何高效地執行此操作的任何想法?
我的查詢:
-- drop indexes on locality_id and neighborhood_id to speed up update
DROP INDEX IF EXISTS idx_properties_locality_id;
DROP INDEX IF EXISTS idx_properties_neighborhood_id;
-- for each property find the locality and neighborhood
UPDATE
properties
SET
locality_id = (
SELECT
id
FROM
places_temp
WHERE
placetype = 'locality'
-- check if geo_point is contained by polygon. geo_point is stored as SRID 26910 so must be
-- transformed first
AND st_intersects (st_transform (geo_point, 4326), poly)
LIMIT 1),
neighborhood_id = (
SELECT
id
FROM
places_temp
WHERE
placetype = 'neighbourhood'
-- check if geo_point is contained by polygon. geo_point is stored as SRID 26910 so must be
-- transformed first
AND st_intersects (st_transform (geo_point, 4326), poly)
LIMIT 1);
-- Add indexes back after update
CREATE INDEX IF NOT EXISTS idx_properties_locality_id ON properties (locality_id);
CREATE INDEX IF NOT EXISTS idx_properties_neighborhood_id ON properties (neighborhood_id);
CREATE INDEX properties_point_idx ON properties USING gist (geo_point);
CREATE INDEX places_temp_poly_idx ON places_temp USING gist (poly);
UPDATE properties p
SET locality_id = x.id
FROM ( SELECT *
, row_number() OVER () rn
FROM places_temp t
WHERE t.placetype = 'locality'
AND st_intersects (st_transform (p.geo_point, 4326), t.poly)
)x
WHERE x.rn = 1
;
與其他字段類似(您可以將它們組合成一個查詢)
嘗試這個
UPDATE
properties
SET
locality_id =t.id, neighbourhood_id
=t.id
From(
SELECT
id
FROM
places_temp
WHERE
placetype in ('locality',
'neighbourhood')
AND st_intersects (st_transform
(geo_point, 4326), poly)
LIMIT 1)) t
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