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observatory-extension/release/observatory--1.1.0.sql
Javier Goizueta 06e0b5bcf8 Release 1.1.0
2016-10-05 16:24:55 +02:00

2503 lines
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PL/PgSQL
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--DO NOT MODIFY THIS FILE, IT IS GENERATED AUTOMATICALLY FROM SOURCES
-- Complain if script is sourced in psql, rather than via CREATE EXTENSION
\echo Use "CREATE EXTENSION observatory" to load this file. \quit
-- Version number of the extension release
CREATE OR REPLACE FUNCTION cdb_observatory_version()
RETURNS text AS $$
SELECT '1.1.0'::text;
$$ language 'sql' STABLE STRICT;
-- Internal identifier of the installed extension instence
-- e.g. 'dev' for current development version
CREATE OR REPLACE FUNCTION _cdb_observatory_internal_version()
RETURNS text AS $$
SELECT installed_version FROM pg_available_extensions where name='observatory' and pg_available_extensions IS NOT NULL;
$$ language 'sql' STABLE STRICT;
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_ConnectRemoteTable(fdw_name text, schema_name text, user_dbname text, user_hostname text, username text, user_tablename text, user_schema text)
RETURNS void
AS $$
DECLARE
row record;
option record;
connection_str json;
BEGIN
-- Build connection string
connection_str := '{"server":{"extensions":"postgis", "dbname":"'
|| user_dbname ||'", "host":"' || user_hostname ||'", "port":"6432"}, "users":{"public"'
|| ':{"user":"' || username ||'", "password":""} } }';
-- This function tries to be as idempotent as possible, by not creating anything more than once
-- (not even using IF NOT EXIST to avoid throwing warnings)
IF NOT EXISTS ( SELECT * FROM pg_extension WHERE extname = 'postgres_fdw') THEN
CREATE EXTENSION postgres_fdw;
END IF;
-- Create FDW first if it does not exist
IF NOT EXISTS ( SELECT * FROM pg_foreign_server WHERE srvname = fdw_name)
THEN
EXECUTE FORMAT('CREATE SERVER %I FOREIGN DATA WRAPPER postgres_fdw', fdw_name);
END IF;
-- Set FDW settings
FOR row IN SELECT p.key, p.value from lateral json_each_text(connection_str->'server') p
LOOP
IF NOT EXISTS (WITH a AS (select split_part(unnest(srvoptions), '=', 1) as options from pg_foreign_server where srvname=fdw_name) SELECT * from a where options = row.key)
THEN
EXECUTE FORMAT('ALTER SERVER %I OPTIONS (ADD %I %L)', fdw_name, row.key, row.value);
ELSE
EXECUTE FORMAT('ALTER SERVER %I OPTIONS (SET %I %L)', fdw_name, row.key, row.value);
END IF;
END LOOP;
-- Create user mappings
FOR row IN SELECT p.key, p.value from lateral json_each(connection_str->'users') p LOOP
-- Check if entry on pg_user_mappings exists
IF NOT EXISTS ( SELECT * FROM pg_user_mappings WHERE srvname = fdw_name AND usename = row.key ) THEN
EXECUTE FORMAT ('CREATE USER MAPPING FOR %I SERVER %I', row.key, fdw_name);
END IF;
-- Update user mapping settings
FOR option IN SELECT o.key, o.value from lateral json_each_text(row.value) o LOOP
IF NOT EXISTS (WITH a AS (select split_part(unnest(umoptions), '=', 1) as options from pg_user_mappings WHERE srvname = fdw_name AND usename = row.key) SELECT * from a where options = option.key) THEN
EXECUTE FORMAT('ALTER USER MAPPING FOR %I SERVER %I OPTIONS (ADD %I %L)', row.key, fdw_name, option.key, option.value);
ELSE
EXECUTE FORMAT('ALTER USER MAPPING FOR %I SERVER %I OPTIONS (SET %I %L)', row.key, fdw_name, option.key, option.value);
END IF;
END LOOP;
END LOOP;
-- Create schema if it does not exist.
IF NOT EXISTS ( SELECT * from pg_namespace WHERE nspname=fdw_name) THEN
EXECUTE FORMAT ('CREATE SCHEMA %I', fdw_name);
END IF;
-- Bring the remote cdb_tablemetadata
IF NOT EXISTS ( SELECT * FROM PG_CLASS WHERE relnamespace = (SELECT oid FROM pg_namespace WHERE nspname=fdw_name) and relname='cdb_tablemetadata') THEN
EXECUTE FORMAT ('CREATE FOREIGN TABLE %I.cdb_tablemetadata (tabname text, updated_at timestamp with time zone) SERVER %I OPTIONS (table_name ''cdb_tablemetadata_text'', schema_name ''public'', updatable ''false'')', fdw_name, fdw_name);
END IF;
-- Import target table
EXECUTE FORMAT ('IMPORT FOREIGN SCHEMA %I LIMIT TO (%I) from SERVER %I INTO %I', user_schema, user_tablename, fdw_name, schema_name);
END;
$$ LANGUAGE PLPGSQL;
-- Returns the table name with geoms for the given geometry_id
-- TODO probably needs to take in the column_id array to get the relevant
-- table where there is multiple sources for a column from multiple
-- geometries.
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GeomTable(
geom geometry(Geometry, 4326),
geometry_id text,
time_span text DEFAULT NULL
)
RETURNS TEXT
AS $$
DECLARE
result text;
BEGIN
EXECUTE '
SELECT tablename FROM observatory.OBS_table
WHERE id IN (
SELECT table_id
FROM observatory.OBS_table tab,
observatory.OBS_column_table coltable,
observatory.OBS_column col
WHERE type ILIKE ''geometry''
AND coltable.column_id = col.id
AND coltable.table_id = tab.id
AND col.id = $1
AND CASE WHEN $3::TEXT IS NOT NULL THEN timespan ILIKE $3::TEXT ELSE TRUE END
ORDER BY timespan DESC LIMIT 1
)
'
USING geometry_id, geom, time_span
INTO result;
return result;
END;
$$ LANGUAGE plpgsql;
-- A function that gets the column data for multiple columns
-- Old: OBS_GetColumnData
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetColumnData(
geometry_id text,
column_ids text[],
timespan text
)
RETURNS SETOF JSON
AS $$
BEGIN
-- figure out highest-weight geometry_id/timespan pair for the first data column
-- TODO this should be done for each data column separately
IF geometry_id IS NULL OR timespan IS NULL THEN
EXECUTE '
SELECT data_t.timespan timespan, geom_c.id boundary_id
FROM observatory.obs_table data_t,
observatory.obs_column_table data_ct,
observatory.obs_column data_c,
observatory.obs_column_table geoid_ct,
observatory.obs_column_to_column c2c,
observatory.obs_column geom_c
WHERE data_c.id = $2
AND data_ct.column_id = data_c.id
AND data_ct.table_id = data_t.id
AND geoid_ct.table_id = data_t.id
AND geoid_ct.column_id = c2c.source_id
AND c2c.reltype = ''geom_ref''
AND geom_c.id = c2c.target_id
AND CASE WHEN $3 IS NULL THEN True ELSE $3 = timespan END
AND CASE WHEN $1 IS NULL THEN True ELSE $1 = geom_c.id END
ORDER BY geom_c.weight DESC,
data_t.timespan DESC
LIMIT 1
' INTO timespan, geometry_id
USING geometry_id, (column_ids)[1], timespan;
END IF;
RETURN QUERY
EXECUTE '
WITH geomref AS (
SELECT ct.table_id id
FROM observatory.OBS_column_to_column c2c,
observatory.OBS_column_table ct
WHERE c2c.reltype = ''geom_ref''
AND c2c.target_id = $1
AND c2c.source_id = ct.column_id
),
column_ids as (
select row_number() over () as no, a.column_id as column_id from (select unnest($2) as column_id) a
)
SELECT row_to_json(a) from (
select colname,
tablename,
aggregate,
name,
type,
c.description,
$1 AS boundary_id
FROM column_ids, observatory.OBS_column c, observatory.OBS_column_table ct, observatory.OBS_table t
WHERE column_ids.column_id = c.id
AND c.id = ct.column_id
AND t.id = ct.table_id
AND t.timespan = $3
AND t.id in (SELECT id FROM geomref)
order by column_ids.no
) a
'
USING geometry_id, column_ids, timespan
RETURN;
END;
$$ LANGUAGE plpgsql;
--Test point cause Stuart always seems to make random points in the water
CREATE OR REPLACE FUNCTION cdb_observatory._TestPoint()
RETURNS geometry(Point, 4326)
AS $$
BEGIN
-- new york city
RETURN ST_SetSRID(ST_Point( -73.936669, 40.704512), 4326);
END;
$$ LANGUAGE plpgsql;
--Test polygon cause Stuart always seems to make random points in the water
-- TODO: remove as it's not used anywhere?
CREATE OR REPLACE FUNCTION cdb_observatory._TestArea()
RETURNS geometry(Geometry, 4326)
AS $$
BEGIN
-- Buffer NYC point by 500 meters
RETURN ST_Buffer(cdb_observatory._TestPoint()::geography, 500)::geometry;
END;
$$ LANGUAGE plpgsql;
--Problematic test area that tends to cause errors
CREATE OR REPLACE FUNCTION cdb_observatory._ProblemTestArea()
RETURNS geometry(Geometry, 4326)
AS $$
BEGIN
RETURN ST_Translate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geometry(geometry, 4326), -73.9366690032303 - -104.729102126902, 40.7045120351809 - 39.620441302097);
END;
$$ LANGUAGE plpgsql;
--Used to expand a column based response to a table based one. Give it the desired
--columns and it will return a partial query for rolling them out to a table.
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_BuildSnapshotQuery(names text[])
RETURNS TEXT
AS $$
DECLARE
q text;
i numeric;
BEGIN
q := 'SELECT ';
FOR i IN 1..array_upper(names,1)
LOOP
q = q || format(' vals[%s] As %I', i, names[i]);
IF i < array_upper(names, 1) THEN
q= q || ',';
END IF;
END LOOP;
RETURN q;
END;
$$ LANGUAGE plpgsql;
-- Function that replaces all non digits or letters with _ trims and lowercases the
-- passed measure name
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_StandardizeMeasureName(measure_name text)
RETURNS text
AS $$
DECLARE
result text;
BEGIN
-- Turn non letter or digits to _
result = regexp_replace(measure_name, '[^\dA-Za-z]+','_', 'g');
-- Remove duplicate _'s
result = regexp_replace(result,'_{2,}','_', 'g');
-- Trim _'s from beginning and end
result = trim(both '_' from result);
result = lower(result);
RETURN result;
END;
$$ LANGUAGE plpgsql;
-- Function that returns the currently deployed obs_dump_version from the
-- remote table of the same name.
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_DumpVersion(
)
RETURNS TEXT
AS $$
DECLARE
result text;
BEGIN
EXECUTE '
SELECT MAX(dump_id) FROM observatory.obs_dump_version
' INTO result;
RETURN result;
END;
$$ LANGUAGE plpgsql;
-- Create a function that always returns the first non-NULL item
CREATE OR REPLACE FUNCTION cdb_observatory.first_agg ( anyelement, anyelement )
RETURNS anyelement LANGUAGE SQL IMMUTABLE STRICT AS $$
SELECT $1;
$$;
DROP AGGREGATE IF EXISTS cdb_observatory.FIRST (anyelement);
-- And then wrap an aggregate around it
CREATE AGGREGATE cdb_observatory.FIRST (
sfunc = cdb_observatory.first_agg,
basetype = anyelement,
stype = anyelement
);
--For Longer term Dev
--Break out table definitions to types
--Automate type creation from a script, something like
----CREATE OR REPLACE FUNCTION OBS_Get<%=tag_name%>(geom GEOMETRY)
----RETURNS TABLE(
----<%=get_dimensions_for_tag(tag_name)%>
----AS $$
----DECLARE
----target_cols text[];
----names text[];
----vals NUMERIC[];-
----q text;
----BEGIN
----target_cols := Array[<%=get_dimensions_for_tag(tag_name)%>],
--Functions for augmenting specific tables
--------------------------------------------------------------------------------
-- Creates a table of demographic snapshot
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetDemographicSnapshot(geom geometry(Geometry, 4326),
time_span text DEFAULT NULL,
boundary_id text DEFAULT NULL)
RETURNS SETOF JSON
AS $$
DECLARE
target_cols text[];
BEGIN
IF time_span IS NULL THEN
time_span = '2010 - 2014';
END IF;
IF boundary_id IS NULL THEN
boundary_id = 'us.census.tiger.block_group';
END IF;
target_cols := Array['us.census.acs.B01003001',
'us.census.acs.B01001002',
'us.census.acs.B01001026',
'us.census.acs.B01002001',
'us.census.acs.B03002003',
'us.census.acs.B03002004',
'us.census.acs.B03002006',
'us.census.acs.B03002012',
'us.census.acs.B03002005',
'us.census.acs.B03002008',
'us.census.acs.B03002009',
'us.census.acs.B03002002',
--'not_us_citizen_pop',
--'workers_16_and_over',
--'commuters_by_car_truck_van',
--'commuters_drove_alone',
--'commuters_by_carpool',
--'commuters_by_public_transportation',
--'commuters_by_bus',
--'commuters_by_subway_or_elevated',
--'walked_to_work',
--'worked_at_home',
--'children',
'us.census.acs.B11001001',
--'population_3_years_over',
--'in_school',
--'in_grades_1_to_4',
--'in_grades_5_to_8',
--'in_grades_9_to_12',
--'in_undergrad_college',
'us.census.acs.B15003001',
'us.census.acs.B15003017',
'us.census.acs.B15003019',
'us.census.acs.B15003020',
'us.census.acs.B15003021',
'us.census.acs.B15003022',
'us.census.acs.B15003023',
--'pop_5_years_over',
--'speak_only_english_at_home',
--'speak_spanish_at_home',
--'pop_determined_poverty_status',
--'poverty',
'us.census.acs.B19013001',
'us.census.acs.B19083001',
'us.census.acs.B19301001',
'us.census.acs.B25001001',
'us.census.acs.B25002003',
'us.census.acs.B25004002',
'us.census.acs.B25004004',
'us.census.acs.B25058001',
'us.census.acs.B25071001',
'us.census.acs.B25075001',
'us.census.acs.B25075025',
'us.census.acs.B25081002',
--'pop_15_and_over',
--'pop_never_married',
--'pop_now_married',
--'pop_separated',
--'pop_widowed',
--'pop_divorced',
'us.census.acs.B08134001',
'us.census.acs.B08134002',
'us.census.acs.B08134003',
'us.census.acs.B08134004',
'us.census.acs.B08134005',
'us.census.acs.B08134006',
'us.census.acs.B08134007',
'us.census.acs.B08134008',
'us.census.acs.B08134009',
'us.census.acs.B08134010',
'us.census.acs.B08135001',
'us.census.acs.B19001002',
'us.census.acs.B19001003',
'us.census.acs.B19001004',
'us.census.acs.B19001005',
'us.census.acs.B19001006',
'us.census.acs.B19001007',
'us.census.acs.B19001008',
'us.census.acs.B19001009',
'us.census.acs.B19001010',
'us.census.acs.B19001011',
'us.census.acs.B19001012',
'us.census.acs.B19001013',
'us.census.acs.B19001014',
'us.census.acs.B19001015',
'us.census.acs.B19001016',
'us.census.acs.B19001017'];
RETURN QUERY
EXECUTE
'select * from cdb_observatory._OBS_Get($1, $2, $3, $4 )'
USING geom, target_cols, time_span, boundary_id
RETURN;
END;
$$ LANGUAGE plpgsql;
--Base functions for performing augmentation
----------------------------------------------------------------------------------------
-- Base augmentation fucntion.
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_Get(
geom geometry(Geometry, 4326),
column_ids text[],
time_span text,
geometry_level text
)
RETURNS SETOF JSON
AS $$
DECLARE
results json[];
geom_table_name text;
names text[];
query text;
data_table_info json[];
BEGIN
EXECUTE
'SELECT array_agg(_obs_getcolumndata)
FROM cdb_observatory._OBS_GetColumnData($1, $2, $3);'
INTO data_table_info
USING geometry_level, column_ids, time_span;
IF geometry_level IS NULL THEN
geometry_level = data_table_info[1]->>'boundary_id';
END IF;
geom_table_name := cdb_observatory._OBS_GeomTable(geom, geometry_level);
IF geom_table_name IS NULL
THEN
--raise notice 'Point % is outside of the data region', ST_AsText(geom);
-- TODO this should return JSON
RETURN QUERY SELECT '{}'::json;
RETURN;
END IF;
IF data_table_info IS NULL THEN
--raise notice 'Cannot find data table for boundary ID %, column_ids %, and time_span %', geometry_level, column_ids, time_span;
END IF;
IF geom IS NULL
THEN
results := NULL;
ELSIF ST_GeometryType(geom) = 'ST_Point'
THEN
--raise notice 'geom_table_name %, data_table_info %', geom_table_name, data_table_info::json[];
results := cdb_observatory._OBS_GetPoints(geom,
geom_table_name,
data_table_info);
ELSIF ST_GeometryType(geom) IN ('ST_Polygon', 'ST_MultiPolygon')
THEN
results := cdb_observatory._OBS_GetPolygons(geom,
geom_table_name,
data_table_info);
END IF;
RETURN QUERY
EXECUTE
$query$
SELECT unnest($1)
$query$
USING results;
RETURN;
END;
$$ LANGUAGE plpgsql;
-- If the variable of interest is just a rate return it as such,
-- otherwise normalize it to the census block area and return that
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetPoints(
geom geometry(Geometry, 4326),
geom_table_name text, -- TODO: change to boundary_id
data_table_info json[]
)
RETURNS json[]
AS $$
DECLARE
result NUMERIC[];
json_result json[];
query text;
i int;
geoid text;
data_geoid_colname text;
geom_geoid_colname text;
area NUMERIC;
BEGIN
-- TODO we're assuming our geom_table has only one geom_ref column
-- we *really* should pass in both geom_table_name and boundary_id
-- TODO tablename should not be passed here (use boundary_id)
EXECUTE
format('SELECT ct.colname
FROM observatory.obs_column_to_column c2c,
observatory.obs_column_table ct,
observatory.obs_table t
WHERE c2c.reltype = ''geom_ref''
AND ct.column_id = c2c.source_id
AND ct.table_id = t.id
AND t.tablename = %L'
, (data_table_info)[1]->>'tablename')
INTO data_geoid_colname;
EXECUTE
format('SELECT ct.colname
FROM observatory.obs_column_to_column c2c,
observatory.obs_column_table ct,
observatory.obs_table t
WHERE c2c.reltype = ''geom_ref''
AND ct.column_id = c2c.source_id
AND ct.table_id = t.id
AND t.tablename = %L'
, geom_table_name)
INTO geom_geoid_colname;
EXECUTE
format('SELECT %I
FROM observatory.%I
WHERE ST_Within($1, the_geom)',
geom_geoid_colname,
geom_table_name)
USING geom
INTO geoid;
--raise notice 'geoid is %, geometry table is % ', geoid, geom_table_name;
EXECUTE
format('SELECT ST_Area(the_geom::geography) / (1000 * 1000)
FROM observatory.%I
WHERE %I = %L',
geom_table_name,
geom_geoid_colname,
geoid)
INTO area;
IF area IS NULL
THEN
--raise notice 'No geometry at %', ST_AsText(geom);
END IF;
query := 'SELECT Array[';
FOR i IN 1..array_upper(data_table_info, 1)
LOOP
IF area is NULL OR area = 0
THEN
-- give back null values
query := query || format('NULL::numeric ');
ELSIF ((data_table_info)[i])->>'aggregate' != 'sum'
THEN
-- give back full variable
query := query || format('%I ', ((data_table_info)[i])->>'colname');
ELSE
-- give back variable normalized by area of geography
query := query || format('%I/%s ',
((data_table_info)[i])->>'colname',
area);
END IF;
IF i < array_upper(data_table_info, 1)
THEN
query := query || ',';
END IF;
END LOOP;
query := query || format(' ]::numeric[]
FROM observatory.%I
WHERE %I.%I = %L
',
((data_table_info)[1])->>'tablename',
((data_table_info)[1])->>'tablename',
data_geoid_colname,
geoid
);
EXECUTE
query
INTO result
USING geom;
EXECUTE
$query$
SELECT array_agg(row_to_json(t)) FROM (
SELECT values As value,
meta->>'name' As name,
meta->>'tablename' As tablename,
meta->>'aggregate' As aggregate,
meta->>'type' As type,
meta->>'description' As description
FROM (SELECT unnest($1) As values, unnest($2) As meta) b
) t
$query$
INTO json_result
USING result, data_table_info;
RETURN json_result;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetMeasure(
geom geometry(Geometry, 4326),
measure_id TEXT,
normalize TEXT DEFAULT NULL,
boundary_id TEXT DEFAULT NULL,
time_span TEXT DEFAULT NULL
)
RETURNS NUMERIC
AS $$
DECLARE
geom_type TEXT;
map_type TEXT;
numer_aggregate TEXT;
numer_colname TEXT;
numer_geomref_colname TEXT;
numer_tablename TEXT;
denom_colname TEXT;
denom_geomref_colname TEXT;
denom_tablename TEXT;
geom_colname TEXT;
geom_geomref_colname TEXT;
geom_tablename TEXT;
result NUMERIC;
sql TEXT;
numer_name TEXT;
BEGIN
IF geom IS NULL THEN
RETURN NULL;
END IF;
geom := ST_SnapToGrid(geom, 0.000001);
EXECUTE
$query$
SELECT numer_aggregate, numer_colname, numer_geomref_colname, numer_tablename,
denom_colname, denom_geomref_colname, denom_tablename,
geom_colname, geom_geomref_colname, geom_tablename, numer_name
FROM observatory.obs_meta
WHERE (geom_id = $1 OR ($1 = ''))
AND numer_id = $2
AND (numer_timespan = $3 OR ($3 = ''))
ORDER BY geom_weight DESC, numer_timespan DESC
LIMIT 1
$query$
INTO numer_aggregate, numer_colname, numer_geomref_colname, numer_tablename,
denom_colname, denom_geomref_colname, denom_tablename,
geom_colname, geom_geomref_colname, geom_tablename, numer_name
USING COALESCE(boundary_id, ''), measure_id, COALESCE(time_span, '');
IF ST_GeometryType(geom) = 'ST_Point' THEN
geom_type := 'point';
ELSIF ST_GeometryType(geom) IN ('ST_Polygon', 'ST_MultiPolygon') THEN
geom_type := 'polygon';
geom := ST_Buffer(geom, 0.000001);
ELSE
RAISE EXCEPTION 'Invalid geometry type (%), can only handle ''ST_Point'', ''ST_Polygon'', and ''ST_MultiPolygon''',
ST_GeometryType(geom);
END IF;
IF normalize ILIKE 'area' AND numer_aggregate ILIKE 'sum' THEN
map_type := 'areaNormalized';
ELSIF normalize ILIKE 'denominator' THEN
map_type := 'denominated';
ELSE
-- defaults: area normalization for point if it's possible and none for
-- polygon or non-summable point
IF geom_type = 'point' AND numer_aggregate ILIKE 'sum' THEN
map_type := 'areaNormalized';
ELSE
map_type := 'predenominated';
END IF;
END IF;
IF geom_type = 'point' THEN
IF map_type = 'areaNormalized' THEN
sql = format('WITH _geom AS (SELECT ST_Area(geom.%I::Geography) / 1000000 area, geom.%I geom_ref
FROM observatory.%I geom
WHERE ST_Within(%L, geom.%I)
LIMIT 1)
SELECT numer.%I / (SELECT area FROM _geom)
FROM observatory.%I numer
WHERE numer.%I = (SELECT geom_ref FROM _geom)',
geom_colname, geom_geomref_colname, geom_tablename,
geom, geom_colname, numer_colname, numer_tablename,
numer_geomref_colname);
ELSIF map_type = 'denominated' THEN
sql = format('SELECT numer.%I / NULLIF((SELECT denom.%I FROM observatory.%I denom WHERE denom.%I = numer.%I LIMIT 1), 0)
FROM observatory.%I numer
WHERE numer.%I = (SELECT geom.%I FROM observatory.%I geom WHERE ST_Within(%L, geom.%I) LIMIT 1)',
numer_colname, denom_colname, denom_tablename,
denom_geomref_colname, numer_geomref_colname,
numer_tablename,
numer_geomref_colname, geom_geomref_colname,
geom_tablename, geom, geom_colname);
ELSIF map_type = 'predenominated' THEN
sql = format('SELECT numer.%I
FROM observatory.%I numer
WHERE numer.%I = (SELECT geom.%I FROM observatory.%I geom WHERE ST_Within(%L, geom.%I) LIMIT 1)',
numer_colname, numer_tablename,
numer_geomref_colname, geom_geomref_colname, geom_tablename,
geom, geom_colname);
END IF;
ELSIF geom_type = 'polygon' THEN
IF map_type = 'areaNormalized' THEN
sql = format('WITH _geom AS (SELECT ST_Area(ST_Intersection(%L, geom.%I))
/ ST_Area(geom.%I) overlap, geom.%I geom_ref
FROM observatory.%I geom
WHERE ST_Intersects(%L, geom.%I)
AND ST_Area(ST_Intersection(%L, geom.%I)) / ST_Area(geom.%I) > 0)
SELECT SUM(numer.%I * (SELECT _geom.overlap FROM _geom WHERE _geom.geom_ref = numer.%I)) /
(ST_Area(%L::Geography) / 1000000)
FROM observatory.%I numer
WHERE numer.%I = ANY ((SELECT ARRAY_AGG(geom_ref) FROM _geom)::TEXT[])',
geom, geom_colname, geom_colname,
geom_geomref_colname, geom_tablename,
geom, geom_colname,
geom, geom_colname, geom_colname,
numer_colname, numer_geomref_colname,
geom, numer_tablename,
numer_geomref_colname);
ELSIF map_type = 'denominated' THEN
sql = format('WITH _geom AS (SELECT ST_Area(ST_Intersection(%L, geom.%I))
/ ST_Area(geom.%I) overlap, geom.%I geom_ref
FROM observatory.%I geom
WHERE ST_Intersects(%L, geom.%I)
AND ST_Area(ST_Intersection(%L, geom.%I)) / ST_Area(geom.%I) > 0),
_denom AS (SELECT denom.%I, denom.%I geom_ref
FROM observatory.%I denom
WHERE denom.%I = ANY ((SELECT ARRAY_AGG(geom_ref) FROM _geom)::TEXT[]))
SELECT SUM(numer.%I * (SELECT _geom.overlap FROM _geom WHERE _geom.geom_ref = numer.%I)) /
SUM((SELECT _denom.%I * (SELECT _geom.overlap
FROM _geom
WHERE _geom.geom_ref = _denom.geom_ref)
FROM _denom WHERE _denom.geom_ref = numer.%I))
FROM observatory.%I numer
WHERE numer.%I = ANY ((SELECT ARRAY_AGG(geom_ref) FROM _geom)::TEXT[])',
geom, geom_colname,
geom_colname, geom_geomref_colname,
geom_tablename,
geom, geom_colname,
geom, geom_colname, geom_colname,
denom_colname, denom_geomref_colname,
denom_tablename,
denom_geomref_colname,
numer_colname, numer_geomref_colname,
denom_colname,
numer_geomref_colname,
numer_tablename,
numer_geomref_colname);
ELSIF map_type = 'predenominated' THEN
IF numer_aggregate NOT ILIKE 'sum' THEN
RAISE EXCEPTION 'Cannot calculate "%" (%) for custom area as it cannot be summed, use ST_PointOnSurface instead',
numer_name, measure_id;
ELSE
sql = format('WITH _geom AS (SELECT ST_Area(ST_Intersection(%L, geom.%I))
/ ST_Area(geom.%I) overlap, geom.%I geom_ref
FROM observatory.%I geom
WHERE ST_Intersects(%L, geom.%I)
AND ST_Area(ST_Intersection(%L, geom.%I)) / ST_Area(geom.%I) > 0)
SELECT SUM(numer.%I * (SELECT _geom.overlap FROM _geom WHERE _geom.geom_ref = numer.%I))
FROM observatory.%I numer
WHERE numer.%I = ANY ((SELECT ARRAY_AGG(geom_ref) FROM _geom)::TEXT[])',
geom, geom_colname, geom_colname,
geom_geomref_colname, geom_tablename,
geom, geom_colname,
geom, geom_colname, geom_colname,
numer_colname, numer_geomref_colname,
numer_tablename,
numer_geomref_colname);
END IF;
END IF;
END IF;
EXECUTE sql INTO result;
RETURN result;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetMeasureById(
geom_ref TEXT,
measure_id TEXT,
boundary_id TEXT,
time_span TEXT DEFAULT NULL
)
RETURNS NUMERIC
AS $$
DECLARE
target_table TEXT;
colname TEXT;
measure_val NUMERIC;
data_geoid_colname TEXT;
BEGIN
IF geom_ref IS NULL THEN
RETURN NULL;
END IF;
EXECUTE
$query$
SELECT numer_colname, numer_geomref_colname, numer_tablename
FROM observatory.obs_meta
WHERE (geom_id = $1 OR ($1 = ''))
AND numer_id = $2
AND (numer_timespan = $3 OR ($3 = ''))
ORDER BY geom_weight DESC, numer_timespan DESC
LIMIT 1
$query$
INTO colname, data_geoid_colname, target_table
USING COALESCE(boundary_id, ''), measure_id, COALESCE(time_span, '');
--RAISE DEBUG 'target_table %, colname %', target_table, colname;
EXECUTE format(
'SELECT %I
FROM observatory.%I data
WHERE data.%I = %L',
colname,
target_table,
data_geoid_colname, geom_ref)
INTO measure_val;
RETURN measure_val;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetCategory(
geom geometry(Geometry, 4326),
category_id TEXT,
boundary_id TEXT DEFAULT NULL,
time_span TEXT DEFAULT NULL
)
RETURNS TEXT
AS $$
DECLARE
data_table TEXT;
geom_table TEXT;
colname TEXT;
data_geomref_colname TEXT;
geom_geomref_colname TEXT;
geom_colname TEXT;
category_val TEXT;
category_share NUMERIC;
BEGIN
IF geom IS NULL THEN
RETURN NULL;
END IF;
EXECUTE
$query$
SELECT numer_colname, numer_geomref_colname, numer_tablename,
geom_geomref_colname, geom_colname, geom_tablename
FROM observatory.obs_meta
WHERE (geom_id = $1 OR ($1 = ''))
AND numer_id = $2
AND (numer_timespan = $3 OR ($3 = ''))
ORDER BY geom_weight DESC, numer_timespan DESC
LIMIT 1
$query$
INTO colname, data_geomref_colname, data_table,
geom_geomref_colname, geom_colname, geom_table
USING COALESCE(boundary_id, ''), category_id, COALESCE(time_span, '');
IF ST_GeometryType(geom) = 'ST_Point' THEN
EXECUTE format(
'SELECT data.%I
FROM observatory.%I data, observatory.%I geom
WHERE data.%I = geom.%I
AND ST_WITHIN(%L, geom.%I) ',
colname, data_table, geom_table, data_geomref_colname,
geom_geomref_colname, geom, geom_colname)
INTO category_val;
ELSE
-- favor the category with the most area
EXECUTE format(
'SELECT data.%I category, SUM(overlap_fraction) category_share
FROM observatory.%I data, (
SELECT ST_Area(
ST_Intersection(%L, a.%I)
) / ST_Area(%L) AS overlap_fraction, a.%I geomref
FROM observatory.%I as a
WHERE %L && a.%I) _overlaps
WHERE data.%I = _overlaps.geomref
GROUP BY category
ORDER BY SUM(overlap_fraction) DESC
LIMIT 1',
colname, data_table,
geom, geom_colname, geom, geom_geomref_colname,
geom_table, geom, geom_colname, data_geomref_colname)
INTO category_val, category_share;
END IF;
RETURN category_val;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetUSCensusMeasure(
geom geometry(Geometry, 4326),
name TEXT,
normalize TEXT DEFAULT NULL,
boundary_id TEXT DEFAULT NULL,
time_span TEXT DEFAULT NULL
)
RETURNS NUMERIC AS $$
DECLARE
standardized_name text;
measure_id text;
result NUMERIC;
BEGIN
standardized_name = cdb_observatory._OBS_StandardizeMeasureName(name);
EXECUTE $string$
SELECT c.id
FROM observatory.obs_column c
JOIN observatory.obs_column_tag ct
ON c.id = ct.column_id
WHERE cdb_observatory._OBS_StandardizeMeasureName(c.name) = $1
AND ct.tag_id ILIKE 'us.census%'
$string$
INTO measure_id
USING standardized_name;
EXECUTE 'SELECT cdb_observatory.OBS_GetMeasure($1, $2, $3, $4, $5)'
INTO result
USING geom, measure_id, normalize, boundary_id, time_span;
RETURN result;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetUSCensusCategory(
geom geometry(Geometry, 4326),
name TEXT,
boundary_id TEXT DEFAULT NULL,
time_span TEXT DEFAULT NULL
)
RETURNS TEXT AS $$
DECLARE
standardized_name text;
category_id text;
result TEXT;
BEGIN
standardized_name = cdb_observatory._OBS_StandardizeMeasureName(name);
EXECUTE $string$
SELECT c.id
FROM observatory.obs_column c
--JOIN observatory.obs_column_tag ct
-- ON c.id = ct.column_id
WHERE cdb_observatory._OBS_StandardizeMeasureName(c.name) = $1
AND c.type ILIKE 'TEXT'
AND c.id ILIKE 'us.census%' -- TODO this should be done by tag
--AND ct.tag_id = 'us.census.acs.demographics'
$string$
INTO category_id
USING standardized_name;
EXECUTE 'SELECT cdb_observatory.OBS_GetCategory($1, $2, $3, $4)'
INTO result
USING geom, category_id, boundary_id, time_span;
RETURN result;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetPopulation(
geom geometry(Geometry, 4326),
normalize TEXT DEFAULT NULL,
boundary_id TEXT DEFAULT NULL,
time_span TEXT DEFAULT NULL
)
RETURNS NUMERIC
AS $$
DECLARE
population_measure_id TEXT;
result NUMERIC;
BEGIN
-- TODO use a super-column for global pop
population_measure_id := 'us.census.acs.B01003001';
EXECUTE format('SELECT cdb_observatory.OBS_GetMeasure(
%L, %L, %L, %L, %L
) LIMIT 1', geom, population_measure_id, normalize, boundary_id, time_span)
INTO result;
return result;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetPolygons(
geom geometry(Geometry, 4326),
geom_table_name text,
data_table_info json[]
)
RETURNS json[]
AS $$
DECLARE
result numeric[];
json_result json[];
q_select text;
q_sum text;
q text;
i NUMERIC;
data_geoid_colname text;
geom_geoid_colname text;
BEGIN
-- TODO we're assuming our geom_table has only one geom_ref column
-- we *really* should pass in both geom_table_name and boundary_id
-- TODO tablename should not be passed here (use boundary_id)
EXECUTE
format('SELECT ct.colname
FROM observatory.obs_column_to_column c2c,
observatory.obs_column_table ct,
observatory.obs_table t
WHERE c2c.reltype = ''geom_ref''
AND ct.column_id = c2c.source_id
AND ct.table_id = t.id
AND t.tablename = %L'
, (data_table_info)[1]->>'tablename')
INTO data_geoid_colname;
EXECUTE
format('SELECT ct.colname
FROM observatory.obs_column_to_column c2c,
observatory.obs_column_table ct,
observatory.obs_table t
WHERE c2c.reltype = ''geom_ref''
AND ct.column_id = c2c.source_id
AND ct.table_id = t.id
AND t.tablename = %L'
, geom_table_name)
INTO geom_geoid_colname;
q_select := format('SELECT %I, ', data_geoid_colname);
q_sum := 'SELECT Array[';
FOR i IN 1..array_upper(data_table_info, 1)
LOOP
q_select := q_select || format( '%I ', ((data_table_info)[i])->>'colname');
IF ((data_table_info)[i])->>'aggregate' ='sum'
THEN
q_sum := q_sum || format('sum(overlap_fraction * COALESCE(%I, 0)) ',((data_table_info)[i])->>'colname',((data_table_info)[i])->>'colname');
ELSE
q_sum := q_sum || ' NULL::numeric ';
END IF;
IF i < array_upper(data_table_info,1)
THEN
q_select := q_select || format(',');
q_sum := q_sum || format(',');
END IF;
END LOOP;
q := format('
WITH _overlaps As (
SELECT ST_Area(
ST_Intersection($1, a.the_geom)
) / ST_Area(a.the_geom) As overlap_fraction,
%I
FROM observatory.%I As a
WHERE $1 && a.the_geom
),
values As (
', geom_geoid_colname, geom_table_name);
q := q || q_select || format('FROM observatory.%I ', ((data_table_info)[1]->>'tablename'));
q := format(q || ' ) ' || q_sum || ' ]::numeric[] FROM _overlaps, values
WHERE values.%I = _overlaps.%I', data_geoid_colname, geom_geoid_colname);
EXECUTE
q
INTO result
USING geom;
EXECUTE
$query$
SELECT array_agg(row_to_json(t)) FROM (
SELECT values As value,
meta->>'name' As name,
meta->>'tablename' As tablename,
meta->>'aggregate' As aggregate,
meta->>'type' As type,
meta->>'description' As description
FROM (SELECT unnest($1) As values, unnest($2) As meta) b
) t
$query$
INTO json_result
USING result, data_table_info;
RETURN json_result;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetSegmentSnapshot(
geom geometry(Geometry, 4326),
boundary_id text DEFAULT NULL
)
RETURNS JSON
AS $$
DECLARE
target_cols text[];
result json;
seg_name Text;
geom_id Text;
q Text;
segment_names Text[];
BEGIN
IF boundary_id IS NULL THEN
boundary_id = 'us.census.tiger.census_tract';
END IF;
target_cols := Array[
'us.census.acs.B01003001_quantile',
'us.census.acs.B01001002_quantile',
'us.census.acs.B01001026_quantile',
'us.census.acs.B01002001_quantile',
'us.census.acs.B03002003_quantile',
'us.census.acs.B03002004_quantile',
'us.census.acs.B03002006_quantile',
'us.census.acs.B03002012_quantile',
'us.census.acs.B05001006_quantile',--
'us.census.acs.B08006001_quantile',--
'us.census.acs.B08006002_quantile',--
'us.census.acs.B08006008_quantile',--
'us.census.acs.B08006009_quantile',--
'us.census.acs.B08006011_quantile',--
'us.census.acs.B08006015_quantile',--
'us.census.acs.B08006017_quantile',--
'us.census.acs.B09001001_quantile',--
'us.census.acs.B11001001_quantile',
'us.census.acs.B14001001_quantile',--
'us.census.acs.B14001002_quantile',--
'us.census.acs.B14001005_quantile',--
'us.census.acs.B14001006_quantile',--
'us.census.acs.B14001007_quantile',--
'us.census.acs.B14001008_quantile',--
'us.census.acs.B15003001_quantile',
'us.census.acs.B15003017_quantile',
'us.census.acs.B15003022_quantile',
'us.census.acs.B15003023_quantile',
'us.census.acs.B16001001_quantile',--
'us.census.acs.B16001002_quantile',--
'us.census.acs.B16001003_quantile',--
'us.census.acs.B17001001_quantile',--
'us.census.acs.B17001002_quantile',--
'us.census.acs.B19013001_quantile',
'us.census.acs.B19083001_quantile',
'us.census.acs.B19301001_quantile',
'us.census.acs.B25001001_quantile',
'us.census.acs.B25002003_quantile',
'us.census.acs.B25004002_quantile',
'us.census.acs.B25004004_quantile',
'us.census.acs.B25058001_quantile',
'us.census.acs.B25071001_quantile',
'us.census.acs.B25075001_quantile',
'us.census.acs.B25075025_quantile'
];
EXECUTE
$query$
SELECT array_agg(_OBS_GetCategories->>'category')
FROM cdb_observatory._OBS_GetCategories(
$1,
Array['us.census.spielman_singleton_segments.X10', 'us.census.spielman_singleton_segments.X55'],
$2)
$query$
INTO segment_names
USING geom, boundary_id;
q :=
format($query$
WITH a As (
SELECT
array_agg(_OBS_GET->>'name') As names,
array_agg(_OBS_GET->>'value') As vals
FROM cdb_observatory._OBS_Get($1,
$2,
'2010 - 2014',
$3)
), percentiles As (
%s
FROM a)
SELECT row_to_json(r) FROM
( SELECT $4 as x10_segment, $5 as x55_segment, percentiles.*
FROM percentiles) r
$query$, cdb_observatory._OBS_BuildSnapshotQuery(target_cols)) results;
EXECUTE
q
into result
USING geom, target_cols, boundary_id, segment_names[1], segment_names[2];
return result;
END;
$$ LANGUAGE plpgsql;
--Get categorical variables from point
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetCategories(
geom geometry(Geometry, 4326),
dimension_names text[],
boundary_id text DEFAULT NULL,
time_span text DEFAULT NULL
)
RETURNS SETOF JSON as $$
DECLARE
geom_table_name text;
geoid text;
names text[];
results text[];
query text;
data_table_info json[];
BEGIN
IF time_span IS NULL THEN
time_span = '2010 - 2014';
END IF;
IF boundary_id IS NULL THEN
boundary_id = 'us.census.tiger.block_group';
END IF;
geom_table_name := cdb_observatory._OBS_GeomTable(geom, boundary_id);
IF geom_table_name IS NULL
THEN
--raise notice 'Point % is outside of the data region', ST_AsText(geom);
RETURN QUERY SELECT '{}'::text[], '{}'::text[];
RETURN;
END IF;
EXECUTE '
SELECT array_agg(_obs_getcolumndata)
FROM cdb_observatory._OBS_GetColumnData($1, $2, $3);
'
INTO data_table_info
USING boundary_id, dimension_names, time_span;
IF data_table_info IS NULL
THEN
--raise notice 'No data table found for this location';
RETURN QUERY SELECT NULL::json;
RETURN;
END IF;
EXECUTE
format('SELECT geoid
FROM observatory.%I
WHERE the_geom && $1',
geom_table_name)
USING geom
INTO geoid;
IF geoid IS NULL
THEN
--raise notice 'No geometry id for this location';
RETURN QUERY SELECT NULL::json;
RETURN;
END IF;
query := 'SELECT ARRAY[';
FOR i IN 1..array_upper(data_table_info, 1)
LOOP
query = query || format('%I ', lower(((data_table_info)[i])->>'colname'));
IF i < array_upper(data_table_info, 1)
THEN
query := query || ',';
END IF;
END LOOP;
query := query || format(' ]::text[]
FROM observatory.%I
WHERE %I.geoid = %L
',
((data_table_info)[1])->>'tablename',
((data_table_info)[1])->>'tablename',
geoid
);
EXECUTE
query
INTO results
USING geom;
RETURN QUERY
EXECUTE
$query$
SELECT row_to_json(t) FROM (
SELECT categories As category,
meta->>'name' As name,
meta->>'tablename' As tablename,
meta->>'aggregate' As aggregate,
meta->>'type' As type,
meta->>'description' As description
FROM (SELECT unnest($1) As categories,
unnest($2) As meta) As b
) t
$query$
USING results, data_table_info;
RETURN;
END;
$$ LANGUAGE plpgsql;
-- TODO: implement search for timespan
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_SearchTables(
search_term text,
time_span text DEFAULT NULL
)
RETURNS table(tablename text, timespan text)
As $$
DECLARE
out_var text[];
BEGIN
IF time_span IS NULL
THEN
RETURN QUERY
EXECUTE
'SELECT tablename::text, timespan::text
FROM observatory.obs_table t
JOIN observatory.obs_column_table ct
ON ct.table_id = t.id
JOIN observatory.obs_column c
ON ct.column_id = c.id
WHERE c.type ILIKE ''geometry''
AND c.id = $1'
USING search_term;
RETURN;
ELSE
RETURN QUERY
EXECUTE
'SELECT tablename::text, timespan::text
FROM observatory.obs_table t
JOIN observatory.obs_column_table ct
ON ct.table_id = t.id
JOIN observatory.obs_column c
ON ct.column_id = c.id
WHERE c.type ILIKE ''geometry''
AND c.id = $1
AND t.timespan = $2'
USING search_term, time_span;
RETURN;
END IF;
END;
$$ LANGUAGE plpgsql IMMUTABLE;
-- Functions used to search the observatory for measures
--------------------------------------------------------------------------------
-- TODO allow the user to specify the boundary to search for measures
--
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_Search(
search_term text,
relevant_boundary text DEFAULT null
)
RETURNS TABLE(id text, description text, name text, aggregate text, source text) as $$
DECLARE
boundary_term text;
BEGIN
IF relevant_boundary then
boundary_term = '';
else
boundary_term = '';
END IF;
RETURN QUERY
EXECUTE format($string$
SELECT id::text, description::text,
name::text,
aggregate::text,
NULL::TEXT source -- TODO use tags
FROM observatory.OBS_column
where name ilike '%%' || %L || '%%'
or description ilike '%%' || %L || '%%'
%s
$string$, search_term, search_term,boundary_term);
RETURN;
END
$$ LANGUAGE plpgsql;
-- Functions to return the geometry levels that a point is part of
--------------------------------------------------------------------------------
-- TODO add test response
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetAvailableBoundaries(
geom geometry(Geometry, 4326),
timespan text DEFAULT null)
RETURNS TABLE(boundary_id text, description text, time_span text, tablename text) as $$
DECLARE
timespan_query TEXT DEFAULT '';
BEGIN
IF timespan != NULL
THEN
timespan_query = format('AND timespan = %L', timespan);
END IF;
RETURN QUERY
EXECUTE
$string$
SELECT
column_id::text As column_id,
obs_column.description::text As description,
timespan::text As timespan,
tablename::text As tablename
FROM
observatory.OBS_table,
observatory.OBS_column_table,
observatory.OBS_column
WHERE
observatory.OBS_column_table.column_id = observatory.obs_column.id AND
observatory.OBS_column_table.table_id = observatory.obs_table.id
AND
observatory.OBS_column.type = 'Geometry'
AND
ST_Intersects($1, st_setsrid(observatory.obs_table.the_geom, 4326))
$string$ || timespan_query
USING geom;
RETURN;
END
$$ LANGUAGE plpgsql;
-- Functions the interface works from to identify available numerators,
-- denominators, geometries, and timespans
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetAvailableNumerators(
bounds GEOMETRY DEFAULT NULL,
filter_tags TEXT[] DEFAULT NULL,
denom_id TEXT DEFAULT NULL,
geom_id TEXT DEFAULT NULL,
timespan TEXT DEFAULT NULL
) RETURNS TABLE (
numer_id TEXT,
numer_name TEXT,
numer_description TEXT,
numer_weight NUMERIC,
numer_license TEXT,
numer_source TEXT,
numer_type TEXT,
numer_aggregate TEXT,
numer_extra JSONB,
numer_tags JSONB,
valid_denom BOOLEAN,
valid_geom BOOLEAN,
valid_timespan BOOLEAN
) AS $$
DECLARE
geom_clause TEXT;
BEGIN
filter_tags := COALESCE(filter_tags, (ARRAY[])::TEXT[]);
denom_id := COALESCE(denom_id, '');
geom_id := COALESCE(geom_id, '');
timespan := COALESCE(timespan, '');
IF bounds IS NULL THEN
geom_clause := '';
ELSE
geom_clause := 'ST_Intersects(the_geom, $5) AND';
END IF;
RETURN QUERY
EXECUTE
format($string$
SELECT numer_id::TEXT,
numer_name::TEXT,
numer_description::TEXT,
numer_weight::NUMERIC,
NULL::TEXT license,
NULL::TEXT source,
numer_type numer_type,
numer_aggregate numer_aggregate,
numer_extra::JSONB numer_extra,
numer_tags numer_tags,
$1 = ANY(denoms) valid_denom,
$2 = ANY(geoms) valid_geom,
$3 = ANY(timespans) valid_timespan
FROM observatory.obs_meta_numer
WHERE %s (numer_tags ?& $4 OR CARDINALITY($4) = 0)
$string$, geom_clause)
USING denom_id, geom_id, timespan, filter_tags, bounds;
RETURN;
END
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetAvailableDenominators(
bounds GEOMETRY DEFAULT NULL,
filter_tags TEXT[] DEFAULT NULL,
numer_id TEXT DEFAULT NULL,
geom_id TEXT DEFAULT NULL,
timespan TEXT DEFAULT NULL
) RETURNS TABLE (
denom_id TEXT,
denom_name TEXT,
denom_description TEXT,
denom_weight NUMERIC,
denom_license TEXT,
denom_source TEXT,
denom_type TEXT,
denom_aggregate TEXT,
denom_extra JSONB,
denom_tags JSONB,
valid_numer BOOLEAN,
valid_geom BOOLEAN,
valid_timespan BOOLEAN
) AS $$
DECLARE
geom_clause TEXT;
BEGIN
filter_tags := COALESCE(filter_tags, (ARRAY[])::TEXT[]);
numer_id := COALESCE(numer_id, '');
geom_id := COALESCE(geom_id, '');
timespan := COALESCE(timespan, '');
IF bounds IS NULL THEN
geom_clause := '';
ELSE
geom_clause := 'ST_Intersects(the_geom, $5) AND';
END IF;
RETURN QUERY
EXECUTE
format($string$
SELECT denom_id::TEXT,
denom_name::TEXT,
denom_description::TEXT,
denom_weight::NUMERIC,
NULL::TEXT license,
NULL::TEXT source,
denom_type::TEXT,
denom_aggregate::TEXT,
denom_extra::JSONB,
denom_tags::JSONB,
$1 = ANY(numers) valid_numer,
$2 = ANY(geoms) valid_geom,
$3 = ANY(timespans) valid_timespan
FROM observatory.obs_meta_denom
WHERE %s (denom_tags ?& $4 OR CARDINALITY($4) = 0)
$string$, geom_clause)
USING numer_id, geom_id, timespan, filter_tags, bounds;
RETURN;
END
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetAvailableGeometries(
bounds GEOMETRY DEFAULT NULL,
filter_tags TEXT[] DEFAULT NULL,
numer_id TEXT DEFAULT NULL,
denom_id TEXT DEFAULT NULL,
timespan TEXT DEFAULT NULL
) RETURNS TABLE (
geom_id TEXT,
geom_name TEXT,
geom_description TEXT,
geom_weight NUMERIC,
geom_aggregate TEXT,
geom_license TEXT,
geom_source TEXT,
valid_numer BOOLEAN,
valid_denom BOOLEAN,
valid_timespan BOOLEAN
) AS $$
DECLARE
geom_clause TEXT;
BEGIN
filter_tags := COALESCE(filter_tags, (ARRAY[])::TEXT[]);
numer_id := COALESCE(numer_id, '');
denom_id := COALESCE(denom_id, '');
timespan := COALESCE(timespan, '');
IF bounds IS NULL THEN
geom_clause := '';
ELSE
geom_clause := 'ST_Intersects(the_geom, $5) AND';
END IF;
RETURN QUERY
EXECUTE
format($string$
SELECT geom_id::TEXT,
geom_name::TEXT,
geom_description::TEXT,
geom_weight::NUMERIC,
NULL::TEXT geom_aggregate,
NULL::TEXT license,
NULL::TEXT source,
$1 = ANY(numers) valid_numer,
$2 = ANY(denoms) valid_denom,
$3 = ANY(timespans) valid_timespan
FROM observatory.obs_meta_geom
WHERE %s (geom_tags ?& $4 OR CARDINALITY($4) = 0)
$string$, geom_clause)
USING numer_id, denom_id, timespan, filter_tags, bounds;
RETURN;
END
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetAvailableTimespans(
bounds GEOMETRY DEFAULT NULL,
filter_tags TEXT[] DEFAULT NULL,
numer_id TEXT DEFAULT NULL,
denom_id TEXT DEFAULT NULL,
geom_id TEXT DEFAULT NULL
) RETURNS TABLE (
timespan_id TEXT,
timespan_name TEXT,
timespan_description TEXT,
timespan_weight NUMERIC,
timespan_aggregate TEXT,
timespan_license TEXT,
timespan_source TEXT,
valid_numer BOOLEAN,
valid_denom BOOLEAN,
valid_geom BOOLEAN
) AS $$
DECLARE
geom_clause TEXT;
BEGIN
filter_tags := COALESCE(filter_tags, (ARRAY[])::TEXT[]);
numer_id := COALESCE(numer_id, '');
denom_id := COALESCE(denom_id, '');
geom_id := COALESCE(geom_id, '');
IF bounds IS NULL THEN
geom_clause := '';
ELSE
geom_clause := 'ST_Intersects(the_geom, $5) AND';
END IF;
RETURN QUERY
EXECUTE
format($string$
SELECT timespan_id::TEXT,
timespan_name::TEXT,
timespan_description::TEXT,
timespan_weight::NUMERIC,
NULL::TEXT timespan_aggregate,
NULL::TEXT license,
NULL::TEXT source,
$1 = ANY(numers) valid_numer,
$2 = ANY(denoms) valid_denom,
$3 = ANY(geoms) valid_geom_id
FROM observatory.obs_meta_timespan
WHERE %s (timespan_tags ?& $4 OR CARDINALITY($4) = 0)
$string$, geom_clause)
USING numer_id, denom_id, geom_id, filter_tags, bounds;
RETURN;
END
$$ LANGUAGE plpgsql;
-- Function below should replace SQL in
-- https://github.com/CartoDB/cartodb/blob/ab465cb2918c917940e955963b0cd8a050c06600/lib/assets/javascripts/cartodb3/editor/layers/layer-content-views/analyses/data-observatory-metadata.js
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_LegacyBuilderMetadata(
aggregate_type TEXT DEFAULT NULL
)
RETURNS TABLE (
name TEXT,
subsection JSONB
) AS $$
DECLARE
aggregate_condition TEXT DEFAULT '';
BEGIN
IF aggregate_type IS NOT NULL THEN
aggregate_condition := format(' AND numer_aggregate = %L ', aggregate_type);
END IF;
RETURN QUERY
EXECUTE format($string$
WITH expanded_subsections AS (
SELECT numer_id,
numer_name,
numer_tags,
jsonb_each_text(numer_tags) as subsection_tag_id_name
FROM cdb_observatory.OBS_GetAvailableNumerators()
WHERE numer_weight > 0 %s
), expanded_sections AS (
SELECT JSONB_Agg(JSONB_Build_Object(
'f1', JSONB_Build_Object('id', numer_id, 'name', numer_name))) columns,
SUBSTR((subsection_tag_id_name).key, 12) subsection_id,
(subsection_tag_id_name).value subsection_name,
jsonb_each_text(numer_tags) as section_tag_id_name
FROM expanded_subsections
WHERE (subsection_tag_id_name).key LIKE 'subsection/%%'
GROUP BY (subsection_tag_id_name).key, (subsection_tag_id_name).value,
numer_tags
), full_expansion AS (
SELECT columns, subsection_id, subsection_name,
SUBSTR((section_tag_id_name).key, 9) section_id,
(section_tag_id_name).value section_name
FROM expanded_sections
WHERE (section_tag_id_name).key LIKE 'section/%%'
)
SELECT section_name AS name, JSONB_Agg(
JSONB_Build_Object(
'f1', JSONB_Build_Object(
'name', subsection_name,
'id', subsection_id,
'columns', columns
)
)
) as subsection
FROM full_expansion
GROUP BY section_name
$string$, aggregate_condition);
RETURN;
END
$$ LANGUAGE plpgsql;
-- Data Observatory -- Welcome to the Future
-- These Data Observatory functions provide access to boundary polyons (and
-- their ids) such as those available through the US Census Tiger, Who's on
-- First, the Spanish Census, and so on
-- OBS_GetBoundary
--
-- Returns the boundary polygon(s) that overlap with the input point geometry.
-- From an input point geometry, find the boundary which intersects with the
-- centroid of the input geometry
-- Inputs:
-- geom geometry: input point geometry
-- boundary_id text: source id of boundaries
-- see function OBS_ListGeomColumns for all avaiable
-- boundary ids
-- time_span text: time span that the geometries were collected (optional)
--
-- Output:
-- boundary geometry: geometry boundary that intersects with geom, is at the
-- resolution requested with boundary_id, and time_span
--
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundary(
geom geometry(Point, 4326),
boundary_id text,
time_span text DEFAULT NULL)
RETURNS geometry(Geometry, 4326)
AS $$
DECLARE
boundary geometry(Geometry, 4326);
target_table text;
BEGIN
-- TODO: Check if SRID = 4326, if not transform?
-- if not a point, raise error
IF ST_GeometryType(geom) != 'ST_Point'
THEN
RAISE EXCEPTION 'Invalid geometry type (%), expecting ''ST_Point''', ST_GeometryType(geom);
END IF;
-- choose appropriate table based on time_span
IF time_span IS NULL
THEN
SELECT x.target_tables INTO target_table
FROM cdb_observatory._OBS_SearchTables(boundary_id,
time_span) As x(target_tables,
timespans)
ORDER BY x.timespans DESC
LIMIT 1;
ELSE
-- TODO: modify for only one table returned instead of arbitrarily choosing
-- one with LIMIT 1 (could be conflict between clipped vs non-clipped
-- boundaries in the metadata tables)
SELECT x.target_tables INTO target_table
FROM cdb_observatory._OBS_SearchTables(boundary_id,
time_span) As x(target_tables,
timespans)
WHERE x.timespans = time_span
LIMIT 1;
END IF;
-- if no tables are found, raise notice and return null
IF target_table IS NULL
THEN
--RAISE NOTICE 'No boundaries found for ''%'' in ''%''', ST_AsText(geom), boundary_id;
RETURN NULL::geometry;
END IF;
--RAISE NOTICE 'target_table: %', target_table;
-- return the first boundary in intersections
EXECUTE format(
'SELECT the_geom
FROM observatory.%I
WHERE ST_Intersects($1, the_geom)
LIMIT 1', target_table)
INTO boundary
USING geom;
RETURN boundary;
END;
$$ LANGUAGE plpgsql;
-- OBS_GetBoundaryId
--
-- retrieves the boundary identifier (e.g., '36047' = Kings County/Brooklyn, NY)
-- corresponding to the location geom and boundary types (e.g.,
-- us.census.tiger.county)
-- Inputs:
-- geom geometry: location where the boundary is requested to overlap with
-- boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
-- see function OBS_ListGeomColumns for all avaiable
-- boundary ids
-- time_span text: time span that the geometries were collected (optional)
--
-- Output:
-- geometry_id text: identifier of the geometry which overlaps with the input
-- point geom in the table corresponding to boundary_id and
-- time_span
--
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundaryId(
geom geometry(Point, 4326),
boundary_id text,
time_span text DEFAULT NULL
)
RETURNS text
AS $$
DECLARE
output_id text;
target_table text;
geoid_colname text;
BEGIN
-- If not point, raise error
IF ST_GeometryType(geom) != 'ST_Point'
THEN
RAISE EXCEPTION 'Invalid geometry type (%), expecting ''ST_Point''', ST_GeometryType(geom);
END IF;
-- choose appropriate table based on time_span
IF time_span IS NULL
THEN
SELECT x.target_tables INTO target_table
FROM cdb_observatory._OBS_SearchTables(boundary_id,
time_span) As x(target_tables,
timespans)
ORDER BY x.timespans DESC
LIMIT 1;
ELSE
SELECT x.target_tables INTO target_table
FROM cdb_observatory._OBS_SearchTables(boundary_id,
time_span) As x(target_tables,
timespans)
WHERE x.timespans = time_span
LIMIT 1;
END IF;
-- if no tables are found, raise notice and return null
IF target_table IS NULL
THEN
--RAISE NOTICE 'Warning: No boundaries found for ''%''', boundary_id;
RETURN NULL::text;
END IF;
EXECUTE
format('SELECT ct.colname
FROM observatory.obs_column_to_column c2c,
observatory.obs_column_table ct,
observatory.obs_table t
WHERE c2c.reltype = ''geom_ref''
AND ct.column_id = c2c.source_id
AND ct.table_id = t.id
AND t.tablename = %L'
, target_table)
INTO geoid_colname;
--RAISE NOTICE 'target_table: %, geoid_colname: %', target_table, geoid_colname;
-- return geometry id column value
EXECUTE format(
'SELECT %I::text
FROM observatory.%I
WHERE ST_Intersects($1, the_geom)
LIMIT 1', geoid_colname, target_table)
INTO output_id
USING geom;
RETURN output_id;
END;
$$ LANGUAGE plpgsql;
-- OBS_GetBoundaryById
--
-- Given a geometry reference (e.g., geoid for US Census), and it's geometry
-- level (see OBS_ListGeomColumns() for all available boundary ids), give back
-- the boundary that corresponds to that geometry_id, boundary_id, and
-- time_span
-- Inputs:
-- geometry_id text: geometry id of the requested boundary
-- boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
-- see function OBS_ListGeomColumns for all avaiable
-- boundary ids
-- time_span text: time span that the geometries were collected (optional)
--
-- Output:
-- boundary geometry: geometry boundary that matches geometry_id, is at the
-- resolution requested with boundary_id, and time_span
--
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundaryById(
geometry_id text, -- ex: '36047'
boundary_id text, -- ex: 'us.census.tiger.county'
time_span text DEFAULT NULL -- ex: '2009'
)
RETURNS geometry(geometry, 4326)
AS $$
DECLARE
boundary geometry(geometry, 4326);
target_table text;
geoid_colname text;
geom_colname text;
BEGIN
SELECT * INTO geoid_colname, target_table, geom_colname
FROM cdb_observatory._OBS_GetGeometryMetadata(boundary_id);
--RAISE NOTICE '%', target_table;
IF target_table IS NULL
THEN
--RAISE NOTICE 'No geometries found';
RETURN NULL::geometry;
END IF;
-- retrieve boundary
EXECUTE
format(
'SELECT %I
FROM observatory.%I
WHERE %I = $1
LIMIT 1', geom_colname, target_table, geoid_colname)
INTO boundary
USING geometry_id;
RETURN boundary;
END;
$$ LANGUAGE plpgsql;
-- _OBS_GetBoundariesByGeometry
-- internal function for retrieving geometries based on an input geometry
-- see OBS_GetBoundariesByGeometry or OBS_GetBoundariesByPointAndRadius for
-- more information
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetBoundariesByGeometry(
geom geometry(Geometry, 4326),
boundary_id text,
time_span text DEFAULT NULL,
overlap_type text DEFAULT NULL)
RETURNS TABLE(the_geom geometry, geom_refs text)
AS $$
DECLARE
boundary geometry(Geometry, 4326);
geom_colname text;
geoid_colname text;
target_table text;
BEGIN
overlap_type := COALESCE(overlap_type, 'intersects');
-- check inputs
IF lower(overlap_type) NOT IN ('contains', 'intersects', 'within')
THEN
-- recognized overlap type (map to ST_Contains, ST_Intersects, and ST_Within)
RAISE EXCEPTION 'Overlap type ''%'' is not an accepted type (choose intersects, within, or contains)', overlap_type;
ELSIF ST_GeometryType(geom) NOT IN ('ST_Polygon', 'ST_MultiPolygon')
THEN
RAISE EXCEPTION 'Invalid geometry type (%), expecting ''ST_MultiPolygon'' or ''ST_Polygon''', ST_GeometryType(geom);
END IF;
-- TODO: add timespan in search
-- TODO: add overlap info in search
SELECT * INTO geoid_colname, target_table, geom_colname
FROM cdb_observatory._OBS_GetGeometryMetadata(boundary_id);
-- if no tables are found, raise notice and return null
IF target_table IS NULL
THEN
--RAISE NOTICE 'No boundaries found for bounding box ''%'' in ''%''', ST_AsText(geom), boundary_id;
RETURN QUERY SELECT NULL::geometry, NULL::text;
RETURN;
END IF;
--RAISE NOTICE 'target_table: %', target_table;
-- return first boundary in intersections
RETURN QUERY
EXECUTE format(
'SELECT %I, %I::text
FROM observatory.%I
WHERE ST_%s($1, the_geom)
', geom_colname, geoid_colname, target_table, overlap_type)
USING geom;
RETURN;
END;
$$ LANGUAGE plpgsql;
-- OBS_GetBoundariesByGeometry
--
-- Given a bounding box (or a polygon), and it's geometry level (see
-- OBS_ListGeomColumns() for all available boundary ids), give back the
-- boundaries that are contained within the bounding box polygon and the
-- associated geometry ids
-- Inputs:
-- geom geometry: bounding box (or polygon) of the region of interest
-- boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
-- see function OBS_ListGeomColumns for all avaiable
-- boundary ids
-- time_span text: time span that the geometries were collected (optional)
--
-- Output:
-- table with the following columns
-- boundary geometry: geometry boundary that is contained within the input
-- bounding box at the requested geometry level
-- with boundary_id, and time_span
-- geom_refs text: geometry identifiers (e.g., geoid for the US Census)
--
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundariesByGeometry(
geom geometry(Geometry, 4326),
boundary_id text,
time_span text DEFAULT NULL,
overlap_type text DEFAULT NULL)
RETURNS TABLE(the_geom geometry, geom_refs text)
AS $$
BEGIN
RETURN QUERY SELECT *
FROM cdb_observatory._OBS_GetBoundariesByGeometry(
geom,
boundary_id,
time_span,
overlap_type
);
RETURN;
END;
$$ LANGUAGE plpgsql;
-- OBS_GetBoundariesByPointAndRadius
--
-- Given a point and radius, and it's geometry level (see
-- OBS_ListGeomColumns() for all available boundary ids), give back the
-- boundaries that are contained within the point buffered by radius meters and
-- the associated geometry ids
-- Inputs:
-- geom geometry: point geometry centered on area of interest
-- radius numeric: radius (in meters) of a circle centered on geom for
-- selecting polygons
-- boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
-- see function OBS_ListGeomColumns for all avaiable
-- boundary ids
-- time_span text: time span that the geometries were collected (optional)
--
-- Output:
-- table with the following columns
-- boundary geometry: geometry boundary that is contained within the input
-- bounding box at the requested geometry level
-- with boundary_id, and time_span
-- geom_refs text: geometry identifiers (e.g., geoid for the US Census)
--
-- TODO: move to ST_DWithin instead of buffer + intersects?
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundariesByPointAndRadius(
geom geometry(Point, 4326), -- point
radius numeric, -- radius in meters
boundary_id text,
time_span text DEFAULT NULL,
overlap_type text DEFAULT NULL)
RETURNS TABLE(the_geom geometry, geom_refs text)
AS $$
DECLARE
circle_boundary geometry(Geometry, 4326);
BEGIN
IF ST_GeometryType(geom) != 'ST_Point'
THEN
RAISE EXCEPTION 'Input geometry ''%'' is not a point', ST_AsText(geom);
ELSE
circle_boundary := ST_Buffer(geom::geography, radius)::geometry;
END IF;
RETURN QUERY SELECT *
FROM cdb_observatory._OBS_GetBoundariesByGeometry(
circle_boundary,
boundary_id,
time_span,
overlap_type);
RETURN;
END;
$$ LANGUAGE plpgsql;
-- _OBS_GetPointsByGeometry
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetPointsByGeometry(
geom geometry(Geometry, 4326),
boundary_id text,
time_span text DEFAULT NULL,
overlap_type text DEFAULT NULL)
RETURNS TABLE(the_geom geometry, geom_refs text)
AS $$
DECLARE
boundary geometry(Geometry, 4326);
geom_colname text;
geoid_colname text;
target_table text;
BEGIN
overlap_type := COALESCE(overlap_type, 'intersects');
IF lower(overlap_type) NOT IN ('contains', 'within', 'intersects')
THEN
RAISE EXCEPTION 'Overlap type ''%'' is not an accepted type (choose intersects, within, or contains)', overlap_type;
ELSIF ST_GeometryType(geom) NOT IN ('ST_Polygon', 'ST_MultiPolygon')
THEN
RAISE EXCEPTION 'Invalid geometry type (%), expecting ''ST_MultiPolygon'' or ''ST_Polygon''', ST_GeometryType(geom);
END IF;
SELECT * INTO geoid_colname, target_table, geom_colname
FROM cdb_observatory._OBS_GetGeometryMetadata(boundary_id);
-- if no tables are found, raise notice and return null
IF target_table IS NULL
THEN
--RAISE NOTICE 'No boundaries found for bounding box ''%'' in ''%''', ST_AsText(geom), boundary_id;
RETURN QUERY SELECT NULL::geometry, NULL::text;
RETURN;
END IF;
--RAISE NOTICE 'target_table: %', target_table;
-- return first boundary in intersections
RETURN QUERY
EXECUTE format(
'SELECT ST_PointOnSurface(%I) As %s, %I::text
FROM observatory.%I
WHERE ST_%s($1, the_geom)
', geom_colname, geom_colname, geoid_colname, target_table, overlap_type)
USING geom;
RETURN;
END;
$$ LANGUAGE plpgsql;
-- OBS_GetPointsByGeometry
--
-- Given a polygon, and it's geometry level (see
-- OBS_ListGeomColumns() for all available boundary ids), give back a point
-- which lies in a boundary from the requested geometry level that is contained
-- within the bounding box polygon and the associated geometry ids
--
-- Inputs:
-- geom geometry: bounding box (or polygon) of the region of interest
-- boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
-- see function OBS_ListGeomColumns for all avaiable
-- boundary ids
-- time_span text: time span that the geometries were collected (optional)
--
-- Output:
-- table with the following columns
-- boundary geometry: point that lies on a boundary that is contained within
-- the input bounding box at the requested geometry
-- level with boundary_id, and time_span
-- geom_refs text: geometry identifiers (e.g., geoid for the US Census)
--
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetPointsByGeometry(
geom geometry(Geometry, 4326),
boundary_id text,
time_span text DEFAULT NULL,
overlap_type text DEFAULT NULL)
RETURNS TABLE(the_geom geometry, geom_refs text)
AS $$
BEGIN
RETURN QUERY SELECT *
FROM cdb_observatory._OBS_GetPointsByGeometry(
geom,
boundary_id,
time_span,
overlap_type);
RETURN;
END;
$$ LANGUAGE plpgsql;
-- OBS_GetBoundariesByPointAndRadius
--
-- Given a point and radius, and it's geometry level (see
-- OBS_ListGeomColumns() for all available boundary ids), give back the
-- boundaries that are contained within the point buffered by radius meters and
-- the associated geometry ids
-- Inputs:
-- geom geometry: point geometry centered on area of interest
-- radius numeric: radius (in meters) of a circle centered on geom for
-- selecting polygons
-- boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
-- see function OBS_ListGeomColumns for all avaiable
-- boundary ids
-- time_span text: time span that the geometries were collected (optional)
--
-- Output:
-- table with the following columns
-- boundary geometry: geometry boundary that is contained within the input
-- bounding box at the requested geometry level
-- with boundary_id, and time_span
-- geom_refs text: geometry identifiers (e.g., geoid for the US Census)
--
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetPointsByPointAndRadius(
geom geometry(Point, 4326), -- point
radius numeric, -- radius in meters
boundary_id text,
time_span text DEFAULT NULL,
overlap_type text DEFAULT NULL)
RETURNS TABLE(the_geom geometry, geom_refs text)
AS $$
DECLARE
circle_boundary geometry(Geometry, 4326);
BEGIN
IF ST_GeometryType(geom) != 'ST_Point'
THEN
RAISE EXCEPTION 'Input geometry ''%'' is not a point', ST_AsText(geom);
ELSE
circle_boundary := ST_Buffer(geom::geography, radius)::geometry;
END IF;
RETURN QUERY SELECT *
FROM cdb_observatory._OBS_GetPointsByGeometry(
ST_Buffer(geom::geography, radius)::geometry,
boundary_id,
time_span,
overlap_type);
RETURN;
END;
$$ LANGUAGE plpgsql;
-- _OBS_GetGeometryMetadata()
-- TODO: add timespan in search
-- TODO: add choice of clipped versus not clipped
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetGeometryMetadata(boundary_id text)
RETURNS table(geoid_colname text, target_table text, geom_colname text)
AS $$
BEGIN
RETURN QUERY
EXECUTE
format($string$
SELECT geoid_ct.colname::text As geoid_colname,
tablename::text,
geom_ct.colname::text As geom_colname
FROM observatory.obs_column_table As geoid_ct,
observatory.obs_table As geom_t,
observatory.obs_column_table As geom_ct,
observatory.obs_column As geom_c
WHERE geoid_ct.column_id
IN (
SELECT source_id
FROM observatory.obs_column_to_column
WHERE reltype = 'geom_ref'
AND target_id = '%s'
)
AND geoid_ct.table_id = geom_t.id AND
geom_t.id = geom_ct.table_id AND
geom_ct.column_id = geom_c.id AND
geom_c.type ILIKE 'geometry' AND
geom_c.id = '%s'
$string$, boundary_id, boundary_id);
RETURN;
-- AND geom_t.timespan = '%s' <-- put in requested year
-- TODO: filter by clipped vs. not so appropriate tablename are unique
-- so the limit 1 can be removed
RETURN;
END;
$$ LANGUAGE plpgsql;
CREATE TYPE cdb_observatory.ds_fdw_metadata as (schemaname text, tabname text, servername text);
CREATE TYPE cdb_observatory.ds_return_metadata as (colnames text[], coltypes text[]);
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_ConnectUserTable(username text, orgname text, user_db_role text, input_schema text, dbname text, host_addr text, table_name text)
RETURNS cdb_observatory.ds_fdw_metadata
AS $$
DECLARE
fdw_server text;
fdw_import_schema text;
connection_str json;
import_foreign_schema_q text;
epoch_timestamp text;
BEGIN
SELECT extract(epoch from now() at time zone 'utc')::int INTO epoch_timestamp;
fdw_server := 'fdw_server_' || username || '_' || epoch_timestamp;
fdw_import_schema:= fdw_server;
-- Import foreign table
EXECUTE FORMAT ('SELECT cdb_observatory._OBS_ConnectRemoteTable(%L, %L, %L, %L, %L, %L, %L)', fdw_server, fdw_import_schema, dbname, host_addr, user_db_role, table_name, input_schema);
RETURN (fdw_import_schema::text, table_name::text, fdw_server::text);
EXCEPTION
WHEN others THEN
-- Disconnect user imported table. Delete schema and FDW server.
EXECUTE 'DROP FOREIGN TABLE IF EXISTS "' || fdw_import_schema || '".' || table_name;
EXECUTE 'DROP FOREIGN TABLE IF EXISTS "' || fdw_import_schema || '".cdb_tablemetadata';
EXECUTE 'DROP SCHEMA IF EXISTS "' || fdw_import_schema || '"';
EXECUTE 'DROP USER MAPPING IF EXISTS FOR public SERVER "' || fdw_server || '"';
EXECUTE 'DROP SERVER IF EXISTS "' || fdw_server || '"';
RETURN (null, null, null);
END;
$$ LANGUAGE plpgsql SECURITY DEFINER;
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetReturnMetadata(username text, orgname text, function_name text, params json)
RETURNS cdb_observatory.ds_return_metadata
AS $$
DECLARE
colnames text[];
coltypes text[];
BEGIN
EXECUTE FORMAT('SELECT r.colnames::text[], r.coltypes::text[] FROM cdb_observatory._%sResultMetadata(%L::json) r', function_name, params::text)
INTO colnames, coltypes;
RETURN (colnames::text[], coltypes::text[]);
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_FetchJoinFdwTableData(username text, orgname text, table_schema text, table_name text, function_name text, params json)
RETURNS SETOF record
AS $$
DECLARE
data_query text;
rec RECORD;
BEGIN
EXECUTE FORMAT('SELECT cdb_observatory._%sQuery(%L, %L, %L::json)', function_name, table_schema, table_name, params::text)
INTO data_query;
FOR rec IN EXECUTE data_query
LOOP
RETURN NEXT rec;
END LOOP;
RETURN;
END;
$$ LANGUAGE plpgsql SECURITY DEFINER;
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_DisconnectUserTable(username text, orgname text, table_schema text, table_name text, servername text)
RETURNS boolean
AS $$
BEGIN
EXECUTE 'DROP FOREIGN TABLE IF EXISTS "' || table_schema || '".' || table_name;
EXECUTE 'DROP FOREIGN TABLE IF EXISTS "' || table_schema || '".cdb_tablemetadata';
EXECUTE 'DROP SCHEMA IF EXISTS "' || table_schema || '"';
EXECUTE 'DROP USER MAPPING IF EXISTS FOR public SERVER "' || servername || '"';
EXECUTE 'DROP SERVER IF EXISTS "' || servername || '"';
RETURN true;
END;
$$ LANGUAGE plpgsql SECURITY DEFINER;
--
--
-- OBS_GetMeasure
--
--
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetMeasureResultMetadata(params json)
RETURNS cdb_observatory.ds_return_metadata
AS $$
DECLARE
colnames text[]; -- Array to store the name of the measures to be returned
coltypes text[]; -- Array to store the type of the measures to be returned
requested_measures text[];
measure_id text;
BEGIN
-- By definition, all the measure results for the OBS_GetMeasure API are numeric values
SELECT ARRAY(SELECT json_array_elements_text(params->'measure_id'))::text[] INTO requested_measures;
FOREACH measure_id IN ARRAY requested_measures
LOOP
SELECT array_append(colnames, measure_id) INTO colnames;
SELECT array_append(coltypes, 'numeric'::text) INTO coltypes;
END LOOP;
RETURN (colnames::text[], coltypes::text[]);
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetMeasureQuery(table_schema text, table_name text, params json)
RETURNS text
AS $$
DECLARE
data_query text;
measure_ids_arr text[];
measure_id text;
measures_list text;
measures_query text;
normalize text;
boundary_id text;
time_span text;
geom_table_name text;
data_table_name text;
BEGIN
measures_query := '';
-- SELECT table_name from obs_meta WHERE boundary_id = {bound} AND [...] INTO geom_table_name
geom_table_name := 'observatory.obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308';
-- SELECT table_name from obs_meta WHERE time_span = {time} AND [...] INTO data_table_name
data_table_name := 'observatory.obs_1a098da56badf5f32e336002b0a81708c40d29cd';
-- Get measure_ids array from JSON
SELECT ARRAY(SELECT json_array_elements_text(params->'measure_id'))::text[] INTO measure_ids_arr;
-- Get a comma-separated list of measures ("total_pop, over_16_pop") to be used in SELECTs
SELECT array_to_string(measure_ids_arr, ',') INTO measures_list;
FOREACH measure_id IN ARRAY measure_ids_arr
LOOP
-- Build query to compute each value and normalize
-- Assumes the default normalization method, the normalize parameter given in the JSON
-- should be checked in order to build the final query
SELECT measures_query || ' sum(' || measure_id || '/fraction)::numeric as ' || measure_id || ', ' INTO measures_query;
END LOOP;
-- Data query should select the measures and the cartodb_id of the user table, in that order.
data_query := '(WITH _areas AS(SELECT ST_Area(a.the_geom::geography)'
|| '/ (1000 * 1000) as fraction, a.geoid, b.cartodb_id FROM '
|| geom_table_name || ' as a, '
|| table_schema || '.' || table_name || ' AS b '
|| 'WHERE b.the_geom && a.the_geom ), values AS (SELECT geoid, '
|| measures_list
|| ' FROM ' || data_table_name || ' ) '
|| 'SELECT '
|| measures_query
|| ' cartodb_id::int FROM _areas, values '
|| 'WHERE values.geoid = _areas.geoid GROUP BY cartodb_id);';
RETURN data_query;
END;
$$ LANGUAGE plpgsql;
-- Placeholder for permission tweaks at creation time.
-- Make sure by default there are no permissions for publicuser
-- NOTE: this happens at extension creation time, as part of an implicit transaction.
-- REVOKE ALL PRIVILEGES ON SCHEMA cdb_observatory FROM PUBLIC, publicuser CASCADE;
-- Grant permissions on the schema to publicuser (but just the schema)
-- GRANT USAGE ON SCHEMA cdb_crankshaft TO publicuser;
-- Revoke execute permissions on all functions in the schema by default
-- REVOKE EXECUTE ON ALL FUNCTIONS IN SCHEMA cdb_observatory FROM PUBLIC, publicuser;
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