Revert "Make OBS_GetDemographicSnapshot return json"

This reverts commit 987cfde7b6.
This commit is contained in:
Rafa de la Torre 2016-04-20 11:12:41 +02:00
parent 987cfde7b6
commit d6077457dd
3 changed files with 104 additions and 9 deletions

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@ -24,13 +24,108 @@
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetDemographicSnapshot(geom geometry, time_span text default '2009 - 2013', geometry_level text default '"us.census.tiger".block_group')
RETURNS json
AS $$
BEGIN
RETURN row_to_json(cdb_observatory._OBS_GetDemographicSnapshot(geom, time_span, geometry_level));
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetDemographicSnapshot(geom geometry, time_span text default '2009 - 2013', geometry_level text default '"us.census.tiger".block_group' )
RETURNS TABLE(
total_pop NUMERIC,
male_pop NUMERIC,
female_pop NUMERIC,
median_age NUMERIC,
white_pop NUMERIC,
black_pop NUMERIC,
asian_pop NUMERIC,
hispanic_pop NUMERIC,
amerindian_pop NUMERIC,
other_race_pop NUMERIC,
two_or_more_races_pop NUMERIC,
not_hispanic_pop NUMERIC,
--not_us_citizen_pop NUMERIC,
--workers_16_and_over NUMERIC,
--commuters_by_car_truck_van NUMERIC,
--commuters_drove_alone NUMERIC,
--commuters_by_carpool NUMERIC,
--commuters_by_public_transportation NUMERIC,
--commuters_by_bus NUMERIC,
--commuters_by_subway_or_elevated NUMERIC,
--walked_to_work NUMERIC,
--worked_at_home NUMERIC,
--children NUMERIC, -- TODO we should be able to get this at BG
households NUMERIC,
--population_3_years_over NUMERIC,
--in_school NUMERIC,
--in_grades_1_to_4 NUMERIC,
--in_grades_5_to_8 NUMERIC,
--in_grades_9_to_12 NUMERIC,
--in_undergrad_college NUMERIC,
pop_25_years_over NUMERIC,
high_school_diploma NUMERIC,
less_one_year_college NUMERIC,
one_year_more_college NUMERIC,
associates_degree NUMERIC,
bachelors_degree NUMERIC,
masters_degree NUMERIC,
--pop_5_years_over NUMERIC,
--speak_only_english_at_home NUMERIC,
--speak_spanish_at_home NUMERIC,
--pop_determined_poverty_status NUMERIC,
--poverty NUMERIC,
median_income NUMERIC,
gini_index NUMERIC,
income_per_capita NUMERIC,
housing_units NUMERIC,
vacant_housing_units NUMERIC,
vacant_housing_units_for_rent NUMERIC,
vacant_housing_units_for_sale NUMERIC,
median_rent NUMERIC,
percent_income_spent_on_rent NUMERIC,
owner_occupied_housing_units NUMERIC,
million_dollar_housing_units NUMERIC,
mortgaged_housing_units NUMERIC,
--pop_15_and_over NUMERIC,
--pop_never_married NUMERIC,
--pop_now_married NUMERIC,
--pop_separated NUMERIC,
--pop_widowed NUMERIC,
--pop_divorced NUMERIC,
commuters_16_over NUMERIC,
commute_less_10_mins NUMERIC,
commute_10_14_mins NUMERIC,
commute_15_19_mins NUMERIC,
commute_20_24_mins NUMERIC,
commute_25_29_mins NUMERIC,
commute_30_34_mins NUMERIC,
commute_35_44_mins NUMERIC,
commute_45_59_mins NUMERIC,
commute_60_more_mins NUMERIC,
aggregate_travel_time_to_work NUMERIC,
income_less_10000 NUMERIC,
income_10000_14999 NUMERIC,
income_15000_19999 NUMERIC,
income_20000_24999 NUMERIC,
income_25000_29999 NUMERIC,
income_30000_34999 NUMERIC,
income_35000_39999 NUMERIC,
income_40000_44999 NUMERIC,
income_45000_49999 NUMERIC,
income_50000_59999 NUMERIC,
income_60000_74999 NUMERIC,
income_75000_99999 NUMERIC,
income_100000_124999 NUMERIC,
income_125000_149999 NUMERIC,
income_150000_199999 NUMERIC,
income_200000_or_more NUMERIC,
land_area NUMERIC)
AS $$
DECLARE
target_cols text[];
names text[];
vals NUMERIC[];
q text;
rec record;
BEGIN
target_cols := Array['total_pop',
'male_pop',
@ -130,12 +225,12 @@ BEGIN
cdb_observatory._OBS_BuildSnapshotQuery(target_cols) ||
' FROM a';
RETURN QUERY
EXECUTE
q
USING geom, target_cols, time_span, geometry_level
INTO rec;
USING geom, target_cols, time_span, geometry_level;
RETURN row_to_json(rec);
RETURN;
END;
$$ LANGUAGE plpgsql;

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@ -21,9 +21,9 @@ Loading obs_11ee8b82c877c073438bc935a91d3dfccef875d1.sql fixture file...
Done.
Loading obs_d34555209878e8c4b37cf0b2b3d072ff129ec470.sql fixture file...
Done.
snapshot
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
{"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null}
total_pop | male_pop | female_pop | median_age | white_pop | black_pop | asian_pop | hispanic_pop | amerindian_pop | other_race_pop | two_or_more_races_pop | not_hispanic_pop | households | pop_25_years_over | high_school_diploma | less_one_year_college | one_year_more_college | associates_degree | bachelors_degree | masters_degree | median_income | gini_index | income_per_capita | housing_units | vacant_housing_units | vacant_housing_units_for_rent | vacant_housing_units_for_sale | median_rent | percent_income_spent_on_rent | owner_occupied_housing_units | million_dollar_housing_units | mortgaged_housing_units | commuters_16_over | commute_less_10_mins | commute_10_14_mins | commute_15_19_mins | commute_20_24_mins | commute_25_29_mins | commute_30_34_mins | commute_35_44_mins | commute_45_59_mins | commute_60_more_mins | aggregate_travel_time_to_work | income_less_10000 | income_10000_14999 | income_15000_19999 | income_20000_24999 | income_25000_29999 | income_30000_34999 | income_35000_39999 | income_40000_44999 | income_45000_49999 | income_50000_59999 | income_60000_74999 | income_75000_99999 | income_100000_124999 | income_125000_149999 | income_150000_199999 | income_200000_or_more | land_area
------------------+------------------+------------------+------------+------------------+------------------+------------------+------------------+----------------+----------------+-----------------------+------------------+------------------+-------------------+---------------------+-----------------------+-----------------------+-------------------+------------------+------------------+---------------+------------+-------------------+------------------+----------------------+-------------------------------+-------------------------------+-------------+------------------------------+------------------------------+------------------------------+-------------------------+-------------------+----------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+----------------------+-------------------------------+-------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+----------------------+----------------------+----------------------+-----------------------+-----------
9516.27915900609 | 6152.51885204623 | 3363.76030695986 | 28.8 | 5301.51624447348 | 149.500458087105 | 230.000704749392 | 3835.26175169611 | 0 | 0 | 0 | 5681.01740730998 | 3323.51018362871 | 7107.02177675621 | 1040.753188991 | 69.0002114248176 | 793.502431385402 | 327.751004267883 | 2742.7584041365 | 931.502854235037 | 66304 | 0.3494 | 28291 | 3662.76122313407 | 339.251039505353 | 120.750369993431 | 0 | 1764 | 35.3 | 339.251039505353 | 0 | 224.250687130657 | 6549.27006773893 | 327.751004267883 | 28.750088093674 | 201.250616655718 | 621.001902823358 | 373.751145217762 | 1851.5056732326 | 1414.50433420876 | 1115.50341803455 | 615.251885204623 | | 57.500176187348 | 0 | 212.750651893187 | 408.251250930171 | 0 | 155.25047570584 | 109.250334755961 | 92.0002818997568 | 63.2501938060828 | 184.000563799514 | 621.001902823358 | 552.001691398541 | 327.751004267883 | 333.501021886618 | 126.500387612166 | |
(1 row)
dimension | dimension_value

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@ -1,11 +1,11 @@
\i test/sql/load_fixtures.sql
--
SELECT * FROM
cdb_observatory.OBS_GetDemographicSnapshot(
cdb_observatory._OBS_GetDemographicSnapshot(
cdb_observatory._TestPoint(),
'2009 - 2013',
'"us.census.tiger".block_group'
) AS snapshot;
) As snapshot;
--
-- dimension | dimension_value