Add the extension schema to the SEARCH_PATH
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parent
0164b07b92
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@ -1,3 +1,4 @@
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\set ECHO none
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SELECT exists(SELECT *
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FROM pg_proc p
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INNER JOIN pg_namespace ns ON (p.pronamespace = ns.oid)
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@ -1,3 +1,10 @@
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\set ECHO none
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-- add the schema cdb_dataservices_server to the SEARCH_PATH
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DO $$ BEGIN
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PERFORM set_config('search_path', current_setting('search_path')||', cdb_dataservices_server', false);
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END $$;
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\set ECHO all
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SELECT exists(SELECT *
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FROM pg_proc p
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INNER JOIN pg_namespace ns ON (p.pronamespace = ns.oid)
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@ -2,6 +2,11 @@
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\set VERBOSITY verbose
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SET client_min_messages TO error;
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-- add the schema cdb_dataservices_server to the SEARCH_PATH
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DO $$ BEGIN
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PERFORM set_config('search_path', current_setting('search_path')||', cdb_dataservices_server', false);
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END $$;
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-- Set configuration for a user 'foo'
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DO $$
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import json
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@ -37,7 +42,7 @@ GRANT EXECUTE ON ALL FUNCTIONS IN SCHEMA cdb_observatory TO geocoder_api;
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SELECT * FROM cdb_dataservices_server.OBS_GetData(
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'foo',
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NULL,
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'{"(0103000020E61000000100000005000000010000E0F67F52C096D88AE6B25F4440010000E0238052C0BF6D8A1A8D5D4440010000D0DA7E52C05F03F3CC265D444001000020F47E52C0F2DD78AB5D5F4440010000E0F67F52C096D88AE6B25F4440,1)"}'::public._geomval,
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'{"(0103000020E61000000100000005000000010000E0F67F52C096D88AE6B25F4440010000E0238052C0BF6D8A1A8D5D4440010000D0DA7E52C05F03F3CC265D444001000020F47E52C0F2DD78AB5D5F4440010000E0F67F52C096D88AE6B25F4440,1)"}'::_geomval,
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'[{"id": 1, "score": 52.7515548093083898758340051256007949661290516400338, "geom_id": "us.census.tiger.census_tract", "denom_id": "us.census.acs.B01003001", "numer_id": "us.census.acs.B03002003", "geom_name": "US Census Tracts", "geom_type": "Geometry", "num_geoms": 2.86483076549783307739486952736, "denom_name": "Total Population", "denom_type": "Numeric", "numer_name": "White Population", "numer_type": "Numeric", "score_rank": 1, "target_area": 0.000307374806576033, "geom_colname": "the_geom", "score_rownum": 1, "target_geoms": null, "denom_colname": "total_pop", "denom_reltype": '
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'"denominator", "geom_timespan": "2015", "normalization": "prenormalized", "numer_colname": "white_pop", "timespan_rank": 1, "geom_tablename": "obs_87a814e485deabe3b12545a537f693d16ca702c2", "max_score_rank": null, "numer_timespan": "2010 - 2014", "suggested_name": "white_pop_2010_2014", "denom_aggregate": "sum", "denom_tablename": "obs_b393b5b88c6adda634b2071a8005b03c551b609a", "numer_aggregate": "sum", "numer_tablename": "obs_b393b5b88c6adda634b2071a8005b03c551b609a", "timespan_rownum": 1, "geom_description": "Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity that are updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program. The Census Bureau delineates census tracts in situations where no local participant existed or where state, local, or tribal governments'
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'declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of statistical data.\r\n\r\nCensus tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. A census tract usually covers a contiguous area; however, the spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over a long time so that statistical comparisons can be made from census to census. Census tracts occasionally are split due to population growth or merged as a result of substantial population decline.\r\n\r\nCensus tract boundaries generally follow visible and identifiable features. They may follow nonvisible legal boundaries, such as minor civil division (MCD) or incorporated place boundaries'
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