Merge pull request #343 from CartoDB/342-Return_whole_xyz_from_zoom
New function to return the whole table from a zoom level/geography
This commit is contained in:
Mario de Frutos
GitHub
commit
efec69c957
@ -302,11 +302,11 @@ AS $$
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DECLARE
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mc_table TEXT;
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BEGIN
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SELECT tablename from pg_tables
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INTO mc_table
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WHERE schemaname = mc_schema
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AND tablename LIKE '%'||geo_level||'%';
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-- SELECT tablename from pg_tables
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-- INTO mc_table
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-- WHERE schemaname = mc_schema
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-- AND tablename LIKE '%'||geo_level||'%';
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mc_table := 'mc_' || geo_level;
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RETURN mc_table;
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END
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$$ LANGUAGE plpgsql PARALLEL RESTRICTED;
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@ -338,16 +338,17 @@ DECLARE
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blockgroup_geoname CONSTANT TEXT DEFAULT 'us.census.tiger.block_group';
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block_geoname CONSTANT TEXT DEFAULT 'us.census.tiger.block';
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mc_schema CONSTANT TEXT DEFAULT 'us.mastercard';
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mc_schema CONSTANT TEXT DEFAULT 'tiler';
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mc_geoid CONSTANT TEXT DEFAULT 'region_id';
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mc_category_column CONSTANT TEXT DEFAULT 'category';
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mc_month_column CONSTANT TEXT DEFAULT 'month';
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mc_table TEXT;
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mc_category TEXT;
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mc_category_name TEXT;
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mc_table_categories TEXT DEFAULT '';
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mc_month TEXT;
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mc_month_slug TEXT;
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mc_measurements_categories TEXT[];
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mc_measurement TEXT;
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bounds NUMERIC[];
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geom GEOMETRY;
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@ -490,26 +491,24 @@ BEGIN
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mc_table := cdb_observatory.OBS_GetMCTable(mc_schema, mc_geography_level);
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FOREACH mc_category IN ARRAY mc_categories LOOP
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FOREACH mc_month IN ARRAY mc_months LOOP
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mc_month_slug := replace(mc_month, '-', '');
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FOREACH mc_month IN ARRAY mc_months LOOP
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mc_month_slug := replace(mc_month, '/', '');
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FOREACH mc_category IN ARRAY mc_categories LOOP
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mc_category := lower(mc_category);
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mc_measurements_categories := ARRAY['']::TEXT[];
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SELECT CASE
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WHEN mc_category = 'NEP' THEN 'non eating places'
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WHEN mc_category = 'EP' THEN 'eating places'
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WHEN mc_category = 'APP' THEN 'apparel'
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WHEN mc_category = 'SB' THEN 'small business'
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WHEN mc_category = 'TR' THEN 'total retail'
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END INTO mc_category_name;
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FOREACH mc_measurement IN ARRAY mc_measurements LOOP
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mc_measurements_categories := array_append(mc_measurements_categories, mc_measurement||'_'||mc_category);
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END LOOP;
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SELECT string_agg(column_name||'_'||mc_category||'_'||mc_month_slug, ','),
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string_agg(mc_table||'_'||mc_category||'_'||mc_month_slug||'.'||column_name||' '||column_name||'_'||mc_category||'_'||mc_month_slug, ','),
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string_agg(distinct column_name||'_'||mc_category||'_'||mc_month_slug||area_normalization||' '||column_name||'_'||mc_category||'_'||mc_month_slug, ',')
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SELECT string_agg(column_name||'_'||mc_month_slug, ','),
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string_agg(mc_table||'_'||mc_month_slug||'.'||column_name||' '||column_name||'_'||mc_month_slug, ','),
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string_agg(distinct column_name||'_'||mc_month_slug||area_normalization||' '||column_name||'_'||mc_month_slug, ',')
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INTO numer_colnames_mc_current, numer_colnames_mc_qualified_current, numer_colnames_mc_normalized_current
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FROM information_schema.columns
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WHERE table_schema = mc_schema
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AND table_name = mc_table
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AND column_name = ANY(mc_measurements);
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AND column_name = ANY(mc_measurements_categories);
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IF numer_colnames_mc_current IS NOT NULL THEN
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numer_colnames_mc := coalesce(numer_colnames_mc, '')||numer_colnames_mc_current||',';
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@ -520,16 +519,15 @@ BEGIN
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IF numer_colnames_mc_normalized_current IS NOT NULL THEN
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numer_colnames_mc_normalized := coalesce(numer_colnames_mc_normalized, '')||numer_colnames_mc_normalized_current||',';
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END IF;
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IF mc_table IS NOT NULL THEN
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numer_tablenames_mc := '"'||mc_schema||'".'||mc_table||' '||mc_table||'_'||mc_category||'_'||mc_month_slug;
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geom_relations_mc := mc_table||'_'||mc_category||'_'||mc_month_slug||'.'||mc_geoid||'='||geom_geomref_colnames_qualified;
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mc_table_categories := mc_table||'_'||mc_category||'_'||mc_month_slug||'.'||mc_category_column||'='''||mc_category_name||''''||
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' AND '||mc_table||'_'||mc_category||'_'||mc_month_slug||'.'||mc_month_column||'='''||mc_month||'''';
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geom_mc_outerjoins := coalesce(geom_mc_outerjoins, '')||' LEFT OUTER JOIN '||numer_tablenames_mc||' ON '||geom_relations_mc||' AND '||mc_table_categories;
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END IF;
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END LOOP;
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IF mc_table IS NOT NULL THEN
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numer_tablenames_mc := '"'||mc_schema||'".'||mc_table||' '||mc_table||'_'||mc_month_slug;
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geom_relations_mc := mc_table||'_'||mc_month_slug||'.'||mc_geoid||'='||geom_geomref_colnames_qualified;
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mc_table_categories := mc_table||'_'||mc_month_slug||'.'||mc_month_column||'='''||mc_month||'''';
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geom_mc_outerjoins := coalesce(geom_mc_outerjoins, '')||' LEFT OUTER JOIN '||numer_tablenames_mc||' ON '||geom_relations_mc||' AND '||mc_table_categories;
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END IF;
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END LOOP;
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---------Query build and execution---------
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@ -560,3 +558,282 @@ BEGIN
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RETURN;
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END
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$$ LANGUAGE plpgsql PARALLEL RESTRICTED;
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CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetMCDOMVT(
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z INTEGER,
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geography_level TEXT,
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do_measurements TEXT[],
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mc_measurements TEXT[],
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mc_categories TEXT[] DEFAULT ARRAY['TR']::TEXT[],
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mc_months TEXT[] DEFAULT ARRAY['2018-02-01']::TEXT[],
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use_meta_cache BOOLEAN DEFAULT True,
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shoreline_clipped BOOLEAN DEFAULT True,
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optimize_clipping BOOLEAN DEFAULT False,
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simplify_geometries BOOLEAN DEFAULT False,
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area_normalized BOOLEAN DEFAULT False,
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extent INTEGER DEFAULT 4096,
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buf INTEGER DEFAULT 256,
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clip_geom BOOLEAN DEFAULT True)
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RETURNS TABLE (
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x INTEGER,
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y INTEGER,
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zoom INTEGER,
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mvtgeom GEOMETRY,
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mvtdata JSONB
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)
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AS $$
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DECLARE
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state_geoname CONSTANT TEXT DEFAULT 'us.census.tiger.state';
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county_geoname CONSTANT TEXT DEFAULT 'us.census.tiger.county';
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tract_geoname CONSTANT TEXT DEFAULT 'us.census.tiger.census_tract';
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blockgroup_geoname CONSTANT TEXT DEFAULT 'us.census.tiger.block_group';
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block_geoname CONSTANT TEXT DEFAULT 'us.census.tiger.block';
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tiler_table_prefix CONSTANT TEXT DEFAULT 'tiler.xyz_us_mc_tiles_temp_';
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avg_x INTEGER;
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avg_y INTEGER;
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mc_schema CONSTANT TEXT DEFAULT 'tiler';
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mc_geoid CONSTANT TEXT DEFAULT 'region_id';
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mc_category_column CONSTANT TEXT DEFAULT 'category';
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mc_month_column CONSTANT TEXT DEFAULT 'month';
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mc_table TEXT;
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mc_category TEXT;
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mc_category_name TEXT;
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mc_table_categories TEXT DEFAULT '';
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mc_month TEXT;
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mc_month_slug TEXT;
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mc_measurements_categories TEXT[];
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mc_measurement TEXT;
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measurement TEXT;
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getmeta_parameters TEXT;
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meta JSON;
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mc_geography_level TEXT;
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simplification_tolerance NUMERIC DEFAULT 0;
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area_normalization TEXT DEFAULT '';
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clipped TEXT default '';
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i INTEGER DEFAULT 0;
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bounds NUMERIC[];
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geom GEOMETRY;
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ext BOX2D;
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numer_tablename_do TEXT DEFAULT '';
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numer_tablenames_do TEXT[] DEFAULT ARRAY['']::TEXT[];
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numer_tablenames_do_outer TEXT DEFAULT '';
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numer_tablenames_mc TEXT DEFAULT '';
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numer_colnames_do TEXT DEFAULT '';
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numer_colnames_do_qualified TEXT DEFAULT '';
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numer_colnames_do_normalized TEXT DEFAULT '';
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numer_colnames_mc TEXT DEFAULT '';
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numer_colnames_mc_current TEXT DEFAULT '';
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numer_colnames_mc_qualified TEXT DEFAULT '';
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numer_colnames_mc_qualified_current TEXT DEFAULT '';
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numer_colnames_mc_normalized TEXT DEFAULT '';
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numer_colnames_mc_normalized_current TEXT DEFAULT '';
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geom_tablenames TEXT;
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geom_colnames TEXT;
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geom_geomref_colnames TEXT;
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geom_geomref_colnames_qualified TEXT;
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geom_relations_do TEXT[] DEFAULT ARRAY['']::TEXT[];
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geom_relations_mc TEXT DEFAULT '';
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geom_mc_outerjoins TEXT DEFAULT '';
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BEGIN
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IF geography_level = 'us.census.tiger.census_tract' THEN
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mc_geography_level := 'tract';
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ELSE
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mc_geography_level := (string_to_array(geography_level, '.'))[array_length(string_to_array(geography_level, '.'), 1)];
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END IF;
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-- Get the average x and y (in the middle of the BBox)
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EXECUTE
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format(
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$query$
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SELECT ROUND(AVG(x)) AS x, ROUND(AVG(y)) as y
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FROM tiler.xyz_us_mc_tiles_temp_%1$s_%2$s
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$query$, mc_geography_level, z)
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INTO avg_x, avg_y;
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IF area_normalized THEN
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area_normalization := '/area_ratio';
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END IF;
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IF shoreline_clipped THEN
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clipped := '_clipped';
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END IF;
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CASE
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WHEN geography_level = state_geoname THEN
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simplification_tolerance := 0.1;
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IF optimize_clipping THEN
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clipped := '';
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END IF;
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WHEN geography_level = county_geoname THEN
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simplification_tolerance := 0.01;
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WHEN geography_level = tract_geoname THEN
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simplification_tolerance := 0.001;
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WHEN geography_level = blockgroup_geoname THEN
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simplification_tolerance := 0.0001;
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WHEN geography_level = block_geoname THEN
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simplification_tolerance := 0.0001;
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ELSE
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simplification_tolerance := 0;
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END CASE;
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IF NOT simplify_geometries THEN
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simplification_tolerance := 0;
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END IF;
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bounds := cdb_observatory.OBS_GetTileBounds(z, avg_x, avg_y);
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geom := ST_MakeEnvelope(bounds[1], bounds[2], bounds[3], bounds[4], 4326);
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ext := ST_MakeBox2D(ST_Transform(ST_SetSRID(ST_Point(bounds[1], bounds[2]), 4326), 3857),
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ST_Transform(ST_SetSRID(ST_Point(bounds[3], bounds[4]), 4326), 3857));
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---------DO---------
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getmeta_parameters := '[ ';
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FOREACH measurement IN ARRAY do_measurements LOOP
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getmeta_parameters := getmeta_parameters || '{"numer_id":"' || measurement || '","geom_id":"' || geography_level || clipped ||'"},';
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END LOOP;
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getmeta_parameters := substring(getmeta_parameters from 1 for length(getmeta_parameters) - 1) || ' ]';
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IF use_meta_cache THEN
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meta := cdb_observatory.OBS_RetrieveMeta(z, geom, getmeta_parameters::json, 1::integer, 1::integer, 1::integer);
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ELSE
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meta := cdb_observatory.obs_getmeta(geom, getmeta_parameters::json, 1::integer, 1::integer, 1::integer);
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END IF;
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IF meta IS NOT NULL THEN
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SELECT array_agg(distinct 'observatory.'||numer_tablename) numer_tablenames,
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string_agg(distinct numer_colname, ',')||',' numer_colnames,
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string_agg(distinct numer_tablename||'.'||numer_colname, ',')||',' numer_colnames_qualified,
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string_agg(distinct numer_colname||area_normalization||' '||numer_colname, ',')||',' numer_colnames_normalized,
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(array_agg(distinct 'observatory.'||geom_tablename))[1] geom_tablenames,
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(array_agg(distinct geom_colname))[1] geom_colnames,
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(array_agg(distinct geom_geomref_colname))[1] geom_geomref_colnames,
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(array_agg(distinct geom_tablename||'.'||geom_geomref_colname))[1] geom_geomref_colnames_qualified,
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array_agg(distinct numer_tablename||'.'||numer_geomref_colname||'='||geom_tablename||'.'||geom_geomref_colname) geom_relations
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INTO numer_tablenames_do, numer_colnames_do, numer_colnames_do_qualified, numer_colnames_do_normalized, geom_tablenames, geom_colnames,
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geom_geomref_colnames, geom_geomref_colnames_qualified, geom_relations_do
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FROM json_to_recordset(meta)
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AS x(id TEXT, numer_id TEXT, numer_aggregate TEXT, numer_colname TEXT, numer_geomref_colname TEXT, numer_tablename TEXT,
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numer_type TEXT, denom_id TEXT, denom_aggregate TEXT, denom_colname TEXT, denom_geomref_colname TEXT, denom_tablename TEXT,
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denom_type TEXT, denom_reltype TEXT, geom_id TEXT, geom_colname TEXT, geom_geomref_colname TEXT, geom_tablename TEXT,
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geom_type TEXT, numer_timespan TEXT, geom_timespan TEXT, normalization TEXT, api_method TEXT, api_args JSON);
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IF numer_tablenames_do IS NULL OR numer_colnames_do IS NULL OR numer_colnames_do_qualified IS NULL OR numer_colnames_do_normalized IS NULL
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OR geom_tablenames IS NULL OR geom_colnames IS NULL OR geom_geomref_colnames IS NULL OR geom_geomref_colnames_qualified IS NULL
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OR geom_relations_do IS NULL THEN
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RETURN;
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END IF;
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i := 0;
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FOREACH numer_tablename_do IN ARRAY numer_tablenames_do LOOP
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i := i + 1;
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numer_tablenames_do_outer := numer_tablenames_do_outer || 'LEFT OUTER JOIN ' || numer_tablename_do || ' ON ' || geom_relations_do[i] || ' ';
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END LOOP;
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ELSE
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getmeta_parameters := '[{"geom_id":"' || geography_level || clipped ||'"}]';
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meta := cdb_observatory.obs_getmeta(geom, getmeta_parameters::json, 1::integer, 1::integer, 1::integer);
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IF meta IS NULL THEN
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RETURN;
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END IF;
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SELECT (array_agg(distinct 'observatory.'||geom_tablename))[1] geom_tablenames,
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(array_agg(distinct geom_colname))[1] geom_colnames,
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(array_agg(distinct geom_geomref_colname))[1] geom_geomref_colnames,
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(array_agg(distinct geom_tablename||'.'||geom_geomref_colname))[1] geom_geomref_colnames_qualified
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FROM json_to_recordset(meta)
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INTO geom_tablenames, geom_colnames, geom_geomref_colnames, geom_geomref_colnames_qualified
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AS x(id TEXT, numer_id TEXT, numer_aggregate TEXT, numer_colname TEXT, numer_geomref_colname TEXT, numer_tablename TEXT,
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numer_type TEXT, denom_id TEXT, denom_aggregate TEXT, denom_colname TEXT, denom_geomref_colname TEXT, denom_tablename TEXT,
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denom_type TEXT, denom_reltype TEXT, geom_id TEXT, geom_colname TEXT, geom_geomref_colname TEXT, geom_tablename TEXT,
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geom_type TEXT, numer_timespan TEXT, geom_timespan TEXT, normalization TEXT, api_method TEXT, api_args JSON);
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END IF;
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---------MC---------
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IF geography_level = 'us.census.tiger.census_tract' THEN
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mc_geography_level := 'tract';
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ELSE
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mc_geography_level := (string_to_array(geography_level, '.'))[array_length(string_to_array(geography_level, '.'), 1)];
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END IF;
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mc_table := cdb_observatory.OBS_GetMCTable(mc_schema, mc_geography_level);
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FOREACH mc_month IN ARRAY mc_months LOOP
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mc_month_slug := replace(mc_month, '/', '');
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FOREACH mc_category IN ARRAY mc_categories LOOP
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mc_category := lower(mc_category);
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mc_measurements_categories := ARRAY['']::TEXT[];
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FOREACH mc_measurement IN ARRAY mc_measurements LOOP
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mc_measurements_categories := array_append(mc_measurements_categories, mc_measurement||'_'||mc_category);
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END LOOP;
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SELECT string_agg(column_name||'_'||mc_month_slug, ','),
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string_agg(mc_table||'_'||mc_month_slug||'.'||column_name||' '||column_name||'_'||mc_month_slug, ','),
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string_agg(distinct column_name||'_'||mc_month_slug||area_normalization||' '||column_name||'_'||mc_month_slug, ',')
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INTO numer_colnames_mc_current, numer_colnames_mc_qualified_current, numer_colnames_mc_normalized_current
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FROM information_schema.columns
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WHERE table_schema = mc_schema
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AND table_name = mc_table
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AND column_name = ANY(mc_measurements_categories);
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IF numer_colnames_mc_current IS NOT NULL THEN
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numer_colnames_mc := coalesce(numer_colnames_mc, '')||numer_colnames_mc_current||',';
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END IF;
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IF numer_colnames_mc_qualified_current IS NOT NULL THEN
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numer_colnames_mc_qualified := coalesce(numer_colnames_mc_qualified, '')||numer_colnames_mc_qualified_current||',';
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END IF;
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IF numer_colnames_mc_normalized_current IS NOT NULL THEN
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numer_colnames_mc_normalized := coalesce(numer_colnames_mc_normalized, '')||numer_colnames_mc_normalized_current||',';
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END IF;
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END LOOP;
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IF mc_table IS NOT NULL THEN
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numer_tablenames_mc := '"'||mc_schema||'".'||mc_table||' '||mc_table||'_'||mc_month_slug;
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geom_relations_mc := mc_table||'_'||mc_month_slug||'.'||mc_geoid||'='||geom_geomref_colnames_qualified;
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mc_table_categories := mc_table||'_'||mc_month_slug||'.'||mc_month_column||'='''||mc_month||'''';
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geom_mc_outerjoins := coalesce(geom_mc_outerjoins, '')||' LEFT OUTER JOIN '||numer_tablenames_mc||' ON '||geom_relations_mc||' AND '||mc_table_categories;
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END IF;
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END LOOP;
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---------Query build and execution---------
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RETURN QUERY EXECUTE format(
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$query$
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SELECT x, y, z,
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mvtgeom,
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(select row_to_json(_)::jsonb from (select id, %9$s %3$s area_ratio, area) as _) as mvtdata
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FROM (
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SELECT x, y, z,
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ST_AsMVTGeom(ST_Transform(the_geom, 3857),
|
||||
bbox2d, $1, $2, $3) AS mvtgeom, %8$s as id, %6$s %7$s area_ratio, area FROM (
|
||||
SELECT tx.x, tx.y, tx.z,
|
||||
%1$s the_geom, %8$s, %2$s %10$s
|
||||
CASE WHEN ST_Within(tx.envelope, %1$s)
|
||||
THEN ST_Area(tx.envelope) / Nullif(ST_Area(%1$s), 0)
|
||||
WHEN ST_Within(%1$s, tx.envelope)
|
||||
THEN 1
|
||||
ELSE ST_Area(ST_Intersection(st_simplifyvw(%1$s, $4), tx.envelope)) / Nullif(ST_Area(%1$s), 0)
|
||||
END area_ratio,
|
||||
ROUND(ST_Area(ST_Transform(the_geom,3857))::NUMERIC, 2) area,
|
||||
ST_MakeBox2D(ST_Transform(ST_SetSRID(ST_Point(tx.bounds[1], tx.bounds[2]), 4326), 3857),
|
||||
ST_Transform(ST_SetSRID(ST_Point(tx.bounds[3], tx.bounds[4]), 4326), 3857)) bbox2d
|
||||
FROM tiler.xyz_us_mc_tiles_temp_%12$s_%13$s tx,
|
||||
%5$s
|
||||
%4$s
|
||||
%11$s
|
||||
WHERE st_intersects(%1$s, tx.envelope)
|
||||
) p
|
||||
) q
|
||||
$query$,
|
||||
geom_colnames, numer_colnames_do_qualified, numer_colnames_mc, numer_tablenames_do_outer, geom_tablenames, numer_colnames_do_normalized,
|
||||
numer_colnames_mc_normalized, geom_geomref_colnames, numer_colnames_do, numer_colnames_mc_qualified, geom_mc_outerjoins,
|
||||
mc_geography_level, z)
|
||||
USING extent, buf, clip_geom, simplification_tolerance
|
||||
RETURN;
|
||||
END
|
||||
$$ LANGUAGE plpgsql PARALLEL RESTRICTED;
|
||||
|
||||
Loading…
Reference in New Issue
Block a user