geog | Quick and easy geographical functions in Python | Data Manipulation library

We have a table with tens of millions of polygons and we have this index:

CREATE INDEX IF NOT EXISTS polygons_geog_idx ON polygons USING GIST(geog);

That let us query the DB really efficiently, like so:

SELECT * FROM polygons WHERE st_dwithin('SRID=4326;POINT(-1 50)'::geography, geog, 500);

Now due to the business requirements, we need to return only biggest 200 polygons. Easily doable like with:

• LIMIT 200
• ORDER BY st_area(geog)

Full Query: SELECT gid, st_area(geog) as size FROM polygons WHERE st_dwithin(geog, 'SRID=4326;POINT(-1 50)'::geography, 500) ORDER BY st_area(geog) DESC LIMIT 200.

Because of the order by and select our query slows down by 10x. I thought it will be easily fixable by adding another index like seen in this SO Answer: CREATE INDEX polygons_geog_area_idx ON polygons (st_area(geog));

But polygons_geog_area_idx doesn't seem to be picked up:

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