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- create table if not exists my_timeseries as
- select
- coalesce(sector, district, area) as postcode,
- import_date,
- 'A'::character(1) as property_type,
- -1::smallint as bedrooms,
- CAST (sum(1) filter(where is_begin_ts) AS REAL) as s_listings,
- CAST (percentile_cont(array[0.25,0.5,0.75,0.9]) within group (order by asking_price) filter(where asking_price > 0) AS REAL[]) as s_price_asked
- from my_source_table
- where import_date <= '2019-05-01'::date
- grouping sets ((sector, import_date), (district, import_date), (area, import_date));
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