Merge pull request #246 from CartoDB/release-v-1.3.0

Observatory Release v 1.3.0

.github/PULL_REQUEST_TEMPLATE.md

@@ -2,6 +2,12 @@
 
 I'd like to request a new data observatory extension deploy: dump + extension
 
+## Performance comparison to last deployment
+
+Please include link here to comparison perftests:
+
+http://52.71.151.140/perftest/#oldsha..newsha
+
 ## Dump database id to be deployed
 
 Please put here the dump id to be deployed: <dump_id>

NEWS.md

@@ -1,3 +1,69 @@
+1.3.0 (2017-01-17)
+
+__API Changes__
+
+* `OBS_GetMeasureDataMulti()` is now called `OBS_GetData()`
+* `OBS_GetMeasureMetaMulti()` is now called `OBS_GetMeta()`
+* Additional signature for `OBS_GetData` which can take an array of `TEXT`,
+  mimicking functionality of `OBS_GetMeasureByID`
+
+__Improvements__
+
+* Generate fixtures from `obs_meta`
+* Remove unused table-level code
+* Refactor all augmentation and geometry functions to obtain data from
+  `OBS_GetMeta()` and `OBS_GetData()`.
+* Improvements to `OBS_GetMeta()` so it can still fill in metadata in cases
+  where only a geometry is being requested.
+* `OBS_GetData()` returns two-column table instead of anonymous record.
+* `OBS_GetData()` can return categorical (text) and geometries
+
+__Bugfixes__
+
+* Remove unnecessary dependency on `postgres_fdw`
+* `OBS_GetData()` now aggregates measures with mixed geoms correctly
+
+__API Changes__
+
+1.2.1 (2017-01-17)
+
+__Improvements__
+
+* Support Point/LineString in responses from `OBS_GetBoundary`.
+  ([#243](https://github.com/CartoDB/observatory-extension/pull/233))
+
+1.2.0 (2016-12-28)
+
+__API Changes__
+
+* Added `OBS_GetMeasureDataMulti`, which takes an array of geomvals and
+  parameters as JSON, and returns a set of RECORDs keyed by the vals of the
+  geomvals.
+* Added `OBS_GetMeasureMetaMulti`, which takes sparse metadata as JSON (for
+  example, the measure ID) and returns a filled-out version of the metadata
+  sufficient for use with `OBS_GetMeasureDataMulti`.
+
+__Improvements__
+
+* Move tests to 2015
+* Fixes to `_OBS_GetGeometryScores` to avoid spamming NOTICEs about all pixels
+  for a band being NULL
+* Tests for `_OBS_GetGeometryScores` with complex geometries
+* Performance tests for `OBS_GetMeasureDataMulti`
+* Return both `table_id` and `column_id` from `_OBS_GetGeometryScores`
+
+1.1.7 (2016-12-15)
+
+__Improvements__
+
+* Use simpler raster table and simplified `_OBSGetGeometryScores` functions to
+  improve performance
+* In cases where geometry passed into geometry scoring function has greater
+  than 10K points, simply use its buffer instead
+* Add `IMMUTABLE` to `_OBSGetGeometryScores`
+* Add tests explicitly for `_OBSGetGeometryScores` in perftest.py
+* Yields a ~50% improvement in performance for `_OBSGetGeomeryScores`.
+
 1.1.6 (2016-12-08)
 
 __Bugfixes__

scripts/generate_fixtures.py

@@ -38,30 +38,22 @@ def get_tablename_query(column_id, boundary_id, timespan):
         timespan, give back the current table hash from the data observatory
     """
     return """
-        SELECT t.tablename, geoid_ct.colname colname, t.id table_id
+        SELECT numer_tablename, numer_geomref_colname, numer_tid,
-        FROM observatory.obs_table t,
+               geom_tablename, geom_geomref_colname, geom_tid
-             observatory.obs_column_table geoid_ct,
+        FROM observatory.obs_meta
-             observatory.obs_column_table data_ct
+        WHERE numer_id = '{numer_id}' AND
-        WHERE
+              geom_id = '{geom_id}' AND
-             t.id = geoid_ct.table_id AND
+              numer_timespan = '{numer_timespan}'
-             t.id = data_ct.table_id AND
+    """.format(numer_id=column_id,
-             geoid_ct.column_id =
+               geom_id=boundary_id,
-        (SELECT source_id
+               numer_timespan=timespan)
-         FROM observatory.obs_column_to_column
-         WHERE target_id = '{boundary_id}'
-         AND reltype = 'geom_ref'
-        ) AND
-        data_ct.column_id = '{column_id}' AND
-        timespan = '{timespan}'
-    """.format(column_id=column_id,
-               boundary_id=boundary_id,
-               timespan=timespan)
 
 
 METADATA_TABLES = ['obs_table', 'obs_column_table', 'obs_column', 'obs_column_tag',
                    'obs_tag', 'obs_column_to_column', 'obs_dump_version', 'obs_meta',
                    'obs_meta_numer', 'obs_meta_denom', 'obs_meta_geom',
-                   'obs_meta_timespan', 'obs_column_table_tile', ]
+                   'obs_meta_timespan', 'obs_column_table_tile',
+                   'obs_column_table_tile_simple']
 
 FIXTURES = [
     ('us.census.acs.B01003001_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
@@ -75,7 +67,7 @@ FIXTURES = [
     ('us.census.acs.B05001006_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
     ('us.census.acs.B08006001_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
     ('us.census.acs.B08006002_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
-    ('us.census.acs.B08006008_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B08301010_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
     ('us.census.acs.B08006009_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
     ('us.census.acs.B08006011_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
     ('us.census.acs.B08006015_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
@@ -129,7 +121,6 @@ FIXTURES = [
     ('us.census.acs.B15003022', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B15003023', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B19013001', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B19083001', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B19301001', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B25001001', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B25002003', 'us.census.tiger.block_group', '2010 - 2014'),
@@ -142,15 +133,6 @@ FIXTURES = [
     ('us.census.acs.B25081002', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B08134001', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B08134002', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B08134003', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B08134004', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B08134005', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B08134006', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B08134007', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B08134008', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B08134009', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B08134010', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.acs.B08135001', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B19001002', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B19001003', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B19001004', 'us.census.tiger.block_group', '2010 - 2014'),
@@ -167,24 +149,72 @@ FIXTURES = [
     ('us.census.acs.B19001015', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B19001016', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B19001017', 'us.census.tiger.block_group', '2010 - 2014'),
-    ('us.census.tiger.census_tract', 'us.census.tiger.census_tract', '2014'),
-    ('us.census.tiger.block_group', 'us.census.tiger.block_group', '2014'),
-    ('us.census.tiger.zcta5', 'us.census.tiger.zcta5', '2014'),
-    ('us.census.tiger.county', 'us.census.tiger.county', '2014'),
     ('us.census.acs.B01001002', 'us.census.tiger.block_group', '2010 - 2014'),
     ('us.census.acs.B01003001', 'us.census.tiger.census_tract', '2010 - 2014'),
-    ('us.census.acs.B01003001_quantile', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B01001002', 'us.census.tiger.census_tract', '2010 - 2014'),
-    ('us.census.acs.B01003001', 'us.census.tiger.block_group', '2010 - 2014'),
+    ('us.census.acs.B01001026', 'us.census.tiger.census_tract', '2010 - 2014'),
-    ('us.census.spielman_singleton_segments.X2', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B01002001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B03002003', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B03002004', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B03002006', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B03002012', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B03002005', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B03002008', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B03002009', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B03002002', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B11001001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B15003001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B15003017', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B15003019', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B15003020', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B15003021', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B15003022', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B15003023', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19013001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19083001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19301001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B25001001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B25002003', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B25004002', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B25004004', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B25058001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B25071001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B25075001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B25075025', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B25081002', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B08134001', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B08134002', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B08134008', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B08134008', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B08134010', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001002', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001003', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001004', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001005', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001006', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001007', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001008', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001009', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001010', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001011', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001012', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001013', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001014', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001015', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001016', 'us.census.tiger.census_tract', '2010 - 2014'),
+    ('us.census.acs.B19001017', 'us.census.tiger.census_tract', '2010 - 2014'),
     ('us.census.spielman_singleton_segments.X10', 'us.census.tiger.census_tract', '2010 - 2014'),
-    ('us.census.spielman_singleton_segments.X31', 'us.census.tiger.census_tract', '2010 - 2014'),
     ('us.census.spielman_singleton_segments.X55', 'us.census.tiger.census_tract', '2010 - 2014'),
     ('us.zillow.AllHomes_Zhvi', 'us.census.tiger.zcta5', '2014-01'),
     ('us.zillow.AllHomes_Zhvi', 'us.census.tiger.zcta5', '2016-06'),
-    ('whosonfirst.wof_country_geom', 'whosonfirst.wof_country_geom', '2016'),
+    ('whosonfirst.wof_country_name', 'whosonfirst.wof_country_geom', '2016'),
-    ('us.census.tiger.zcta5_clipped', 'us.census.tiger.zcta5_clipped', '2014'),
+    ('us.census.acs.B01003001', 'us.census.tiger.zcta5_clipped', '2010 - 2014'),
-    ('us.census.tiger.block_group_clipped', 'us.census.tiger.block_group_clipped', '2014'),
+    ('us.census.acs.B01003001', 'us.census.tiger.block_group_clipped', '2010 - 2014'),
-    ('us.census.tiger.census_tract_clipped', 'us.census.tiger.census_tract_clipped', '2014'),
+    ('us.census.acs.B01003001', 'us.census.tiger.census_tract_clipped', '2010 - 2014'),
+    ('us.census.tiger.fullname', 'us.census.tiger.pointlm_geom', '2016'),
+    ('us.census.tiger.fullname', 'us.census.tiger.prisecroads_geom', '2016'),
+    ('us.census.tiger.name', 'us.census.tiger.county', '2015'),
+    ('us.census.tiger.name', 'us.census.tiger.block_group', '2015'),
 ]
 
 OUTFILE_PATH = os.path.join(os.path.dirname(__file__), '..',
@@ -203,6 +233,7 @@ def dump(cols, tablename, where=''):
                           ' | sed "s:SET search_path.*::" '
                           ' | sed "s:CREATE TABLE :CREATE TABLE observatory.:" '
                           ' | sed "s:ALTER TABLE.*OWNER.*::" '
+                          ' | sed "s:SET idle_in_transaction_session_timeout.*::" '
                           ' >> {outfile}'.format(
                               tablename=tablename,
                               outfile=OUTFILE_PATH,
@@ -233,15 +264,19 @@ def main():
         tablename_query = get_tablename_query(column_id, boundary_id, timespan)
         resp = query(tablename_query).fetchone()
         if resp:
-            tablename, colname, table_id = resp
+            numer_tablename, numer_colname, numer_table_id = resp[0:3]
+            geom_tablename, geom_colname, geom_table_id = resp[3:6]
         else:
-            print("Could not find table for {}, {}, {}".format(
+            raise Exception("Could not find table for {}, {}, {}".format(
                 column_id, boundary_id, timespan))
-            continue
+        numer = (numer_tablename, numer_colname, numer_table_id, )
-        table_colname = (tablename, colname, boundary_id, table_id, )
+        geom = (geom_tablename, geom_colname, geom_table_id, )
-        if table_colname not in unique_tables:
+        if numer not in unique_tables:
-            print(table_colname)
+            print(numer)
-            unique_tables.add(table_colname)
+            unique_tables.add(numer)
+        if geom not in unique_tables:
+            print(geom)
+            unique_tables.add(geom)
 
     print unique_tables
 
@@ -290,13 +325,14 @@ def main():
                 "column_id IN ('{}', '{}')".format(numer_id, geom_id)
                 for numer_id, geom_id, timespan in FIXTURES
             ])
-        elif tablename in ('obs_column_table', 'obs_column_table_tile', ):
+        elif tablename in ('obs_column_table', 'obs_column_table_tile',
-            where = 'WHERE column_id IN ({numer_ids}) ' \
+                           'obs_column_table_tile_simple'):
-                    'OR column_id IN ({geom_ids}) ' \
+            where = '''WHERE table_id IN ({table_ids}) AND
-                    'OR table_id IN ({table_ids}) '.format(
+              (column_id IN ({numer_ids}) OR column_id IN ({geom_ids}))
+                    '''.format(
                         numer_ids=','.join(["'{}'".format(x) for x, _, _ in FIXTURES]),
                         geom_ids=','.join(["'{}'".format(x) for _, x, _ in FIXTURES]),
-                        table_ids=','.join(["'{}'".format(x) for _, _, _, x in unique_tables])
+                        table_ids=','.join(["'{}'".format(x) for _, _, x in unique_tables])
                     )
         elif tablename == 'obs_column_to_column':
             where = "WHERE " + " OR ".join([
@@ -308,17 +344,20 @@ def main():
             where = 'WHERE timespan IN ({timespans}) ' \
                     'OR id IN ({table_ids}) '.format(
                         timespans=','.join(["'{}'".format(x) for _, _, x in FIXTURES]),
-                        table_ids=','.join(["'{}'".format(x) for _, _, _, x in unique_tables])
+                        table_ids=','.join(["'{}'".format(x) for _, _, x in unique_tables])
                     )
         else:
             where = ''
         dump('*', tablename, where)
 
-    for tablename, colname, boundary_id, table_id in unique_tables:
+    for tablename, colname, table_id in unique_tables:
-        if 'zcta5' in boundary_id:
+        if 'zcta5' in table_id or 'zillow_zip' in table_id:
             where = '\'11%\''
             compare = 'LIKE'
-        elif 'whosonfirst' in boundary_id:
+        elif 'pri_sec_roads' in table_id or 'point_landmark' in table_id:
+            dump('*', tablename, 'WHERE geom && ST_MakeEnvelope(-74,40.69,-73.9,40.72, 4326)')
+            continue
+        elif 'whosonfirst' in table_id:
             where = '(\'85632785\',\'85633051\',\'85633111\',\'85633147\',\'85633253\',\'85633267\')'
             compare = 'IN'
         else:

src/pg/observatory.control

@@ -1,5 +1,5 @@
 comment = 'CartoDB Observatory backend extension'
-default_version = '1.1.6'
+default_version = '1.3.0'
-requires = 'postgis, postgres_fdw'
+requires = 'postgis'
 superuser = true
 schema = cdb_observatory

src/pg/sql/15_fdw_utilities.sql

@@ -1,67 +0,0 @@
-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;

src/pg/sql/40_observatory_utility.sql

@@ -219,4 +219,3 @@ CREATE AGGREGATE cdb_observatory.FIRST (
         basetype = anyelement,
         stype    = anyelement
 );
-

src/pg/sql/42_observatory_exploration.sql

@@ -298,7 +298,7 @@ BEGIN
     ) SELECT available_geoms.*, score, numtiles, notnull_percent, numgeoms,
              percentfill, estnumgeoms, meanmediansize
       FROM available_geoms, scores
-      WHERE available_geoms.geom_id = scores.geom_id
+      WHERE available_geoms.geom_id = scores.column_id
   $string$, geom_clause)
   USING numer_id, denom_id, timespan, filter_tags, bounds;
   RETURN;
@@ -412,14 +412,16 @@ BEGIN
 END
 $$ LANGUAGE plpgsql;
 
+
 CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetGeometryScores(
   bounds Geometry(Geometry, 4326) DEFAULT NULL,
   filter_geom_ids TEXT[] DEFAULT NULL,
-  desired_num_geoms INTEGER DEFAULT 3000
+  desired_num_geoms INTEGER DEFAULT NULL
 ) RETURNS TABLE (
   score NUMERIC,
   numtiles BIGINT,
-  geom_id TEXT,
+  table_id TEXT,
+  column_id TEXT,
   notnull_percent NUMERIC,
   numgeoms NUMERIC,
   percentfill NUMERIC,
@@ -427,57 +429,66 @@ CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetGeometryScores(
   meanmediansize NUMERIC
 ) AS $$
 BEGIN
+  IF desired_num_geoms IS NULL THEN
+    desired_num_geoms := 3000;
+  END IF;
   filter_geom_ids := COALESCE(filter_geom_ids, (ARRAY[])::TEXT[]);
+  -- Very complex geometries simply fail.  For a boundary check, we can
+  -- comfortably get away with the simplicity of an envelope
+  IF ST_Npoints(bounds) > 10000 THEN
+    bounds := ST_Envelope(bounds);
+  END IF;
   RETURN QUERY
-  EXECUTE format($string$
+  EXECUTE $string$
-    SELECT
-      ((100.0 / (1+abs(log(1 + $3) - log(1 + numgeoms)))) * percentfill)::Numeric
-      AS score, *
-    FROM (
     WITH clipped_geom AS (
       SELECT column_id, table_id
-          , CASE WHEN $1 IS NOT NULL THEN ST_Clip(tile, $1, True)
+        , CASE WHEN $1 IS NOT NULL THEN ST_Clip(tile, $1, True) -- -20
                ELSE tile END clipped_tile
         , tile
-        FROM observatory.obs_column_table_tile
+      FROM observatory.obs_column_table_tile_simple
       WHERE ($1 IS NULL OR ST_Intersects($1, tile))
         AND (column_id = ANY($2) OR cardinality($2) = 0)
     ), clipped_geom_countagg AS (
       SELECT column_id, table_id
-          , ST_CountAgg(clipped_tile, 2, True)::Numeric notnull_pixels
+        , BOOL_AND(ST_BandIsNoData(clipped_tile, 1)) nodata
-          , ST_CountAgg(clipped_tile, 2, False)::Numeric pixels
+        , ST_CountAgg(clipped_tile, 1, False)::Numeric pixels -- -10
       FROM clipped_geom
       GROUP BY column_id, table_id
-      ) SELECT
+    ), clipped_geom_reagg AS (
-        count(*)::BIGINT, a.column_id
+      SELECT COUNT(*)::BIGINT cnt, a.column_id, a.table_id,
-        , (CASE WHEN cdb_observatory.FIRST(notnull_pixels) > 0
+             cdb_observatory.FIRST(nodata) first_nodata,
-                THEN cdb_observatory.FIRST(notnull_pixels) / cdb_observatory.FIRST(pixels)
+             cdb_observatory.FIRST(pixels) first_pixel,
-                ELSE 1
+             cdb_observatory.FIRST(tile) first_tile,
-          END)::Numeric AS notnull_percent
+             (ST_SummaryStatsAgg(clipped_tile, 1, False)).sum::Numeric sum_geoms, -- ND
-        , (CASE WHEN cdb_observatory.FIRST(notnull_pixels) > 0
+             (ST_SummaryStatsAgg(clipped_tile, 2, False)).mean::Numeric / 255 mean_fill --ND
-                THEN (ST_SummaryStatsAgg(clipped_tile, 2, True)).sum
-                ELSE COALESCE(ST_Value(cdb_observatory.FIRST(tile), 2, ST_PointOnSurface($1)), 0) * (ST_Area($1) / ST_Area(ST_PixelAsPolygon(cdb_observatory.FIRST(tile), 0, 0)) * cdb_observatory.FIRST(pixels))
-          END)::Numeric AS numgeoms
-        , (CASE WHEN cdb_observatory.FIRST(notnull_pixels) > 0
-                THEN (ST_SummaryStatsAgg(clipped_tile, 3, True)).mean
-                ELSE COALESCE(ST_Value(cdb_observatory.FIRST(tile), 3, ST_PointOnSurface($1)), 0)
-          END)::Numeric AS percentfill
-        , ((ST_Area(ST_Transform($1, 3857)) / 1000000) / NullIf(
-            CASE WHEN cdb_observatory.FIRST(notnull_pixels) > 0
-                 THEN (ST_SummaryStatsAgg(clipped_tile, 1, True)).mean
-                 ELSE Coalesce(ST_Value(cdb_observatory.FIRST(tile), 1, ST_PointOnSurface($1)), 0)
-            END, 0))::Numeric AS estnumgeoms
-        , (CASE WHEN cdb_observatory.FIRST(notnull_pixels) > 0
-                THEN (ST_SummaryStatsAgg(clipped_tile, 1, True)).mean
-                ELSE COALESCE(ST_Value(cdb_observatory.FIRST(tile), 1, ST_PointOnSurface($1)), 0)
-          END)::Numeric AS meanmediansize
       FROM clipped_geom_countagg a, clipped_geom b
       WHERE a.table_id = b.table_id
         AND a.column_id = b.column_id
       GROUP BY a.column_id, a.table_id
-      ORDER BY a.column_id, a.table_id
+    ), final AS (
-    ) foo
+      SELECT
-  $string$) USING bounds, filter_geom_ids, desired_num_geoms;
+        cnt, table_id, column_id
+        , NULL::Numeric AS notnull_percent
+        , (CASE WHEN first_nodata IS FALSE
+                THEN sum_geoms
+                ELSE COALESCE(ST_Value(first_tile, 1, ST_PointOnSurface($1)), 0)
+                  * (ST_Area($1) / ST_Area(ST_PixelAsPolygon(first_tile, 0, 0))
+                    * first_pixel) -- -20
+          END)::Numeric
+        AS numgeoms
+        , (CASE WHEN first_nodata IS FALSE
+                THEN mean_fill
+                ELSE COALESCE(ST_Value(first_tile, 2, ST_PointOnSurface($1))::Numeric / 255, 0) -- -2
+          END)::Numeric
+        AS percentfill
+        , null::numeric estnumgeoms
+        , null::numeric meanmediansize
+      FROM clipped_geom_reagg
+    ) SELECT
+      ((100.0 / (1+abs(log(0.0001 + $3) - log(0.0001 + numgeoms::Numeric)))) * percentfill)::Numeric
+      AS score, *
+      FROM final
+  $string$ USING bounds, filter_geom_ids, desired_num_geoms;
   RETURN;
 END
-$$ LANGUAGE plpgsql;
+$$ LANGUAGE plpgsql IMMUTABLE;

src/pg/sql/44_observatory_geometries.sql

@@ -40,44 +40,11 @@ BEGIN
     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(
+  EXECUTE $query$
-    'SELECT the_geom
+    SELECT * FROM cdb_observatory._OBS_GetBoundariesByGeometry($1, $2, $3) LIMIT 1
-     FROM observatory.%I
+  $query$ INTO boundary
-     WHERE ST_Intersects($1, the_geom)
+  USING geom, boundary_id, time_span;
-     LIMIT 1', target_table)
-  INTO boundary
-  USING geom;
 
   RETURN boundary;
 
@@ -111,67 +78,17 @@ CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundaryId(
 RETURNS text
 AS $$
 DECLARE
-  output_id text;
+  result TEXT;
-  target_table text;
-  geoid_colname text;
 BEGIN
 
-  -- If not point, raise error
+  EXECUTE $query$
-  IF ST_GeometryType(geom) != 'ST_Point'
+    SELECT geom_refs FROM cdb_observatory._OBS_GetBoundariesByGeometry(
-  THEN
+      $1, $2, $3) LIMIT 1
-    RAISE EXCEPTION 'Invalid geometry type (%), expecting ''ST_Point''', ST_GeometryType(geom);
+  $query$
-  END IF;
+  INTO result
-
+  USING geom, boundary_id, time_span;
-  -- 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;
 
+  RETURN result;
 END;
 $$ LANGUAGE plpgsql;
 
@@ -203,35 +120,21 @@ CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundaryById(
 RETURNS geometry(geometry, 4326)
 AS $$
 DECLARE
-  boundary geometry(geometry, 4326);
+  result GEOMETRY;
-  target_table text;
-  geoid_colname text;
-  geom_colname text;
 BEGIN
 
-  SELECT * INTO geoid_colname, target_table, geom_colname
+  EXECUTE $query$
-  FROM cdb_observatory._OBS_GetGeometryMetadata(boundary_id);
+    SELECT (data->0->>'value')::Geometry
-
+    FROM cdb_observatory.OBS_GetData(
-  --RAISE NOTICE '%', target_table;
+      ARRAY[$1],
-
+      cdb_observatory.OBS_GetMeta(
-  IF target_table IS NULL
+        ST_MakeEnvelope(-180, -90, 180, 90, 4326),
-  THEN
+        ('[{"geom_id": "' || $2 || '"}]')::JSON))
-    --RAISE NOTICE 'No geometries found';
+  $query$
-    RETURN NULL::geometry;
+  INTO result
-  END IF;
+  USING geometry_id, boundary_id;
-
-  -- 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;
 
+  RETURN result;
 END;
 $$ LANGUAGE plpgsql;
 
@@ -245,13 +148,12 @@ CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetBoundariesByGeometry(
   boundary_id text,
   time_span text DEFAULT NULL,
   overlap_type text DEFAULT NULL)
-RETURNS TABLE(the_geom geometry, geom_refs text)
+RETURNS TABLE (
-AS $$
+  the_geom geometry,
+  geom_refs text
+) AS $$
 DECLARE
-  boundary geometry(Geometry, 4326);
+  meta JSON;
-  geom_colname text;
-  geoid_colname text;
-  target_table text;
 BEGIN
   overlap_type := COALESCE(overlap_type, 'intersects');
   -- check inputs
@@ -259,34 +161,27 @@ BEGIN
   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
+  EXECUTE $query$
-  -- TODO: add overlap info in search
+    SELECT cdb_observatory.OBS_GetMeta($1, JSON_Build_Array(JSON_Build_Object(
-  SELECT * INTO geoid_colname, target_table, geom_colname
+                'geom_id', $2, 'geom_timespan', $3)))
-  FROM cdb_observatory._OBS_GetGeometryMetadata(boundary_id);
+  $query$
+  INTO meta
+  USING geom, boundary_id, time_span;
 
-  -- if no tables are found, raise notice and return null
+  IF meta->0->>'geom_id' IS NULL THEN
-  IF target_table IS NULL
+    RETURN QUERY EXECUTE 'SELECT NULL::Geometry, NULL::Text LIMIT 0';
-  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
+  RETURN QUERY EXECUTE $query$
-  EXECUTE format(
+    SELECT (data->0->>'value')::Geometry the_geom, data->0->>'geomref' geom_refs
-    'SELECT %I, %I::text
+    FROM cdb_observatory.OBS_GetData(
-     FROM observatory.%I
+      ARRAY[($1, 1)::geomval], $2, False
-     WHERE ST_%s($1, the_geom)
+    )
-     ', geom_colname, geoid_colname, target_table, overlap_type)
+  $query$ USING geom, meta;
-  USING geom;
   RETURN;
 
 END;
@@ -414,27 +309,11 @@ BEGIN
     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
+  RETURN QUERY EXECUTE $query$
-  EXECUTE format(
+    SELECT ST_PointOnSurface(the_geom), geom_refs
-    'SELECT ST_PointOnSurface(%I) As %s, %I::text
+    FROM cdb_observatory._OBS_GetBoundariesByGeometry($1, $2)
-     FROM observatory.%I
+  $query$ USING geom, boundary_id;
-     WHERE ST_%s($1, the_geom)
-     ', geom_colname, geom_colname, geoid_colname, target_table, overlap_type)
-  USING geom;
   RETURN;
 
 END;
@@ -534,44 +413,3 @@ BEGIN
   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;

src/pg/sql/50_table_level_framework.sql

@@ -1,82 +0,0 @@
-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;

src/pg/sql/51_table_level_functions.sql

@@ -1,79 +0,0 @@
---
---
--- 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;
-

src/pg/test/expected/01_install_test.out

@@ -1,5 +1,4 @@
 -- Install dependencies
 CREATE EXTENSION postgis;
-CREATE EXTENSION postgres_fdw;
 -- Install the extension
 CREATE EXTENSION observatory VERSION 'dev';

src/pg/test/expected/41_observatory_augmentation_test.out

@@ -3,36 +3,12 @@
 obs_getdemographicsnapshot_test_no_returns
 t
 (1 row)
-obs_get_median_income_at_test_point
-t
-(1 row)
-obs_get_median_income_at_null_island
-t
-(1 row)
-obs_getpoints_for_test_point_value|obs_getpoints_for_test_point_name|obs_getpoints_for_test_point_tablename|obs_getpoints_for_test_point_aggregate|obs_getpoints_for_test_point_type|obs_getpoints_for_test_point_description
-t|t|t|t|t|t
-(1 row)
-obs_getpoints_for_null_island
-t
-(1 row)
-obs_getpolygons_for_test_point
-t
-(1 row)
-obs_getpolygons_for_null_island
-t
-(1 row)
 test_point_segmentation
 t
 (1 row)
 null_island_segmentation
 t
 (1 row)
-getcategories_at_test_point_1
-t
-(1 row)
-getcategories_at_null_island
-t
-(1 row)
 obs_getmeasure_zhvi_point_test
 t
 (1 row)
@@ -129,3 +105,144 @@ t
 obs_getmeasurebyid_null_id
 t
 (1 row)
+obs_getmeta_null_null_is_null
+t
+(1 row)
+obs_getmeta_null_empty_is_null
+t
+(1 row)
+obs_getmeta_nullisland_null_is_null
+t
+(1 row)
+obs_getmeta_nullisland_empty_is_null
+t
+(1 row)
+obs_getmeta_nullisland_us_measure_is_null
+t
+(1 row)
+id|numer_id|timespan_rank|score_rank|numer_aggregate|numer_colname|numer_type|numer_name|denom_id|geom_id|normalization
+t|t|t|t|t|t|t|t|t|t|t
+(1 row)
+id|numer_id|timespan_rank|score_rank|numer_aggregate|numer_colname|numer_type|numer_name|denom_id|denom_aggregate|denom_colname|denom_type|denom_name|geom_id|normalization
+t|t|t|t|t|t|t|t|t|t|t|t|t|t|t
+(1 row)
+id|numer_id|timespan_rank|score_rank|numer_aggregate|numer_colname|numer_type|numer_name|denom_id|geom_id|normalization
+t|t|t|t|t|t|t|t|t|t|t
+(1 row)
+id|numer_id|timespan_rank|score_rank|numer_aggregate|numer_colname|numer_type|numer_name|denom_id|denom_aggregate|denom_colname|denom_type|denom_name|geom_id|normalization
+t|t|t|t|t|t|t|t|t|t|t|t|t|t|t
+(1 row)
+id|numer_id|timespan_rank|score_rank|numer_aggregate|numer_colname|numer_type|numer_name|denom_id|denom_aggregate|denom_colname|denom_type|denom_name|geom_id|normalization|id|numer_id|timespan_rank|score_rank|numer_aggregate|numer_colname|numer_type|numer_name|denom_id|denom_aggregate|denom_colname|denom_type|denom_name|geom_id|normalization
+t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t|t
+(1 row)
+id|numer_id|timespan_rank|score_rank|numer_aggregate|numer_colname|numer_type|numer_name|denom_id|denom_aggregate|denom_colname|denom_type|denom_name|geom_id|normalization
+t|t|t|t|t|t|t|t|t|t|t|t|t|t|t
+(1 row)
+obs_getmeta_conflicting_metadata
+t
+(1 row)
+obs_getdata_geomval_empty_null
+t
+(1 row)
+obs_getdata_text_empty_null
+t
+(1 row)
+obs_getdata_geomval_empty_one_measure
+t
+(1 row)
+id|data_point_measure_null|nullcol
+t|t|t
+(1 row)
+id|data_polygon_measure_null|nullcol
+t|t|t
+(1 row)
+id|data_point_measure_area|nullcol
+t|t|t
+(1 row)
+id|data_polygon_measure_area|nullcol
+t|t|t
+(1 row)
+id|data_point_measure_predenominated|nullcol
+t|t|t
+(1 row)
+id|data_polygon_measure_predenominated|nullcol
+t|t|t
+(1 row)
+id|data_point_measure_impossible_denominated|nullcol
+t|t|t
+(1 row)
+id|data_polygon_measure_impossible_denominated|nullcol
+t|t|t
+(1 row)
+id|data_point_measure_denominated|nullcol
+t|t|t
+(1 row)
+id|data_polygon_measure_denominated|nullcol
+t|t|t
+(1 row)
+id|data_polygon_measure_one_null|data_polygon_measure_two_null
+t|t|t
+(1 row)
+id|data_polygon_measure_one_predenom|data_polygon_measure_two_predenom
+t|t|t
+(1 row)
+id|data_polygon_measure_one_area|data_polygon_measure_two_area
+t|t|t
+(1 row)
+id|data_polygon_measure_tract|data_polygon_measure_bg
+t|t|t
+(1 row)
+id|data_point_categorical|nullcol
+t|t|t
+(1 row)
+id|data_poly_categorical|nullcol
+t|t|t
+(1 row)
+id|data_poly_categorical|valcol
+t|t|t
+(1 row)
+id|correct_num_geoms
+t|t
+(1 row)
+id|correct_num_geoms|correct_pop
+t|t|t
+(1 row)
+id|correct_num_geoms|correct_pop|correct_bg_names
+t|t|t|t
+(1 row)
+id|correct_num_points
+t|t
+(1 row)
+id|correct_num_points|pointgeom_names
+t|t|t
+(1 row)
+id|obs_getdata_by_id_one_measure_null
+t|t
+(1 row)
+id|obs_getdata_by_id_one_measure_predenom
+t|t
+(1 row)
+id|obs_getdata_by_id_one_measure_null|obs_getdata_by_id_two_measure_null
+t|t|t
+(1 row)
+id|obs_getdata_by_id_categorical
+t|t
+(1 row)
+id|obs_getdata_by_id_geometry
+t|t
+(1 row)
+obs_getdata_api_geomvals_no_args
+t
+(1 row)
+obs_getdata_api_geomvals_args_numer_return
+t
+(1 row)
+obs_getdata_api_geomvals_args_string_return
+t
+(1 row)
+obs_getdata_api_geomrefs_args_numer_return
+t
+(1 row)
+obs_getdata_api_geomrefs_args_string_return
+t
+(1 row)

src/pg/test/expected/42_observatory_exploration_test.out

@@ -114,7 +114,7 @@ t
 _obs_getavailablegeometries_foobarbaz_denom_not_in_usa_bg
 t
 (1 row)
-_obs_getavailablegeometries_bg_2014
+_obs_getavailablegeometries_bg_2015
 t
 (1 row)
 _obs_getavailablegeometries_bg_not_1996

src/pg/test/expected/44_observatory_geometries_test.out

@@ -42,6 +42,12 @@ t
 obs_getboundarybyid_boundary_id_mismatch_geom_id
 t
 (1 row)
+_obs_getboundariesbygeometry_roads_around_cartodb
+t
+(1 row)
+_obs_getboundariesbygeometry_points_around_cartodb
+t
+(1 row)
 _obs_getboundariesbygeometry_tracts_around_cartodb
 t
 (1 row)
@@ -87,9 +93,3 @@ t
 obs_getpointsbypointandradius_around_null_island
 t
 (1 row)
-geoid_name_matches|table_name_matches|geom_name_matches
-t|t|t
-(1 row)
-geoid_name_matches|table_name_matches|geom_name_matches
-t|t|t
-(1 row)

src/pg/test/fixtures/drop_fixtures.sql

@@ -13,17 +13,21 @@ DROP TABLE IF EXISTS observatory.obs_meta_denom;
 DROP TABLE IF EXISTS observatory.obs_meta_geom;
 DROP TABLE IF EXISTS observatory.obs_meta_timespan;
 DROP TABLE IF EXISTS observatory.obs_column_table_tile;
-DROP TABLE IF EXISTS observatory.obs_fcd4e4f5610f6764973ef8c0c215b2e80bec8963;
+DROP TABLE IF EXISTS observatory.obs_column_table_tile_simple;
-DROP TABLE IF EXISTS observatory.obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308;
+DROP TABLE IF EXISTS observatory.obs_78fb6c1d6ff6505225175922c2c389ce48d7632c;
-DROP TABLE IF EXISTS observatory.obs_6c1309a64d8f3e6986061f4d1ca7b57743e75e74;
-DROP TABLE IF EXISTS observatory.obs_7615e8622a68bfc5fe37c69c9880edfb40250103;
-DROP TABLE IF EXISTS observatory.obs_d39f7fe5959891c8296490d83c22ded31c54af13;
-DROP TABLE IF EXISTS observatory.obs_1babf5a26a1ecda5fb74963e88408f71d0364b81;
 DROP TABLE IF EXISTS observatory.obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d;
-DROP TABLE IF EXISTS observatory.obs_144e8b4f906885b2e057ac4842644a553ae49c6e;
+DROP TABLE IF EXISTS observatory.obs_1746e37b7cd28cb131971ea4187d42d71f09c5f3;
-DROP TABLE IF EXISTS observatory.obs_fc050f0b8673cfe3c6aa1040f749eb40975691b7;
+DROP TABLE IF EXISTS observatory.obs_fcd4e4f5610f6764973ef8c0c215b2e80bec8963;
+DROP TABLE IF EXISTS observatory.obs_c4411eba732408d47d73281772dbf03d60645dec;
 DROP TABLE IF EXISTS observatory.obs_1a098da56badf5f32e336002b0a81708c40d29cd;
+DROP TABLE IF EXISTS observatory.obs_7615e8622a68bfc5fe37c69c9880edfb40250103;
+DROP TABLE IF EXISTS observatory.obs_a01cd5d8ccaa6531cef715071e9307e6b1987ec3;
+DROP TABLE IF EXISTS observatory.obs_6c1309a64d8f3e6986061f4d1ca7b57743e75e74;
+DROP TABLE IF EXISTS observatory.obs_0310c639744a2014bb1af82709228f05b59e7d3d;
+DROP TABLE IF EXISTS observatory.obs_87a814e485deabe3b12545a537f693d16ca702c2;
+DROP TABLE IF EXISTS observatory.obs_e32f8e59c7c8861ee5ee4029b3ace2af9a5c9caf;
 DROP TABLE IF EXISTS observatory.obs_1ea93bbc109c87c676b3270789dacf7a1430db6c;
 DROP TABLE IF EXISTS observatory.obs_b393b5b88c6adda634b2071a8005b03c551b609a;
-DROP TABLE IF EXISTS observatory.obs_1746e37b7cd28cb131971ea4187d42d71f09c5f3;
+DROP TABLE IF EXISTS observatory.obs_8e30e6b3792430b410ba5b9e49cdc6a0d404d48f;
-DROP TABLE IF EXISTS observatory.obs_a01cd5d8ccaa6531cef715071e9307e6b1987ec3;
+DROP TABLE IF EXISTS observatory.obs_08025e1287e3af2b5de571d06562ba8d3bdb48e9;
+DROP TABLE IF EXISTS observatory.obs_d39f7fe5959891c8296490d83c22ded31c54af13;

src/pg/test/sql/01_install_test.sql

@@ -1,6 +1,5 @@
 -- Install dependencies
 CREATE EXTENSION postgis;
-CREATE EXTENSION postgres_fdw;
 
 -- Install the extension
 CREATE EXTENSION observatory VERSION 'dev';

src/pg/test/sql/40_observatory_utility_test.sql

@@ -11,8 +11,8 @@ SELECT
   cdb_observatory._OBS_GeomTable(
     ST_SetSRID(ST_Point(-74.0059, 40.7128), 4326),
     'us.census.tiger.census_tract',
-    '2014'
+    '2015'
-  ) = 'obs_fc050f0b8673cfe3c6aa1040f749eb40975691b7' As _obs_geomtable_with_returned_table;
+  ) = 'obs_87a814e485deabe3b12545a537f693d16ca702c2' As _obs_geomtable_with_returned_table;
 
 -- get null for unknown geometry_id
 -- should give back null

src/pg/test/sql/41_observatory_augmentation_test.sql

@@ -5,128 +5,21 @@ SET client_min_messages TO WARNING;
 --
 WITH result as(
   Select count(coalesce(OBS_GetDemographicSnapshot->>'value', 'foo')) expected_columns
-  FROM cdb_observatory.OBS_GetDemographicSnapshot(cdb_observatory._TestPoint())
+  FROM cdb_observatory.OBS_GetDemographicSnapshot(cdb_observatory._TestPoint(), '2010 - 2014')
 ) select expected_columns = 52 as OBS_GetDemographicSnapshot_test_no_returns
 FROM result;
 
-WITH result as (
-  SELECT _OBS_Get::text as expected FROM
-  cdb_observatory._OBS_Get(
-    cdb_observatory._TestPoint(),
-    Array['us.census.acs.B19013001']::text[],
-    '2010 - 2014',
-    'us.census.tiger.block_group'
-  )
-) SELECT expected = '{"value":79292,"name":"Median Household Income in the past 12 Months","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"median","type":"Numeric","description":"Within a geographic area, the median income received by every household on a regular basis before payments for personal income taxes, social security, union dues, medicare deductions, etc.  It includes income received from wages, salary, commissions, bonuses, and tips; self-employment income from own nonfarm or farm businesses, including proprietorships and partnerships; interest, dividends, net rental income, royalty income, or income from estates and trusts; Social Security or Railroad Retirement income; Supplemental Security Income (SSI); any cash public assistance or welfare payments from the state or local welfare office; retirement, survivor, or disability benefits; and any other sources of income received regularly such as Veterans'' (VA) payments, unemployment and/or worker''s compensation, child support, and alimony."}'
-  As OBS_Get_median_income_at_test_point
-  FROM result;
-
--- median income at null island
-WITH result as (
-  SELECT count(_OBS_Get) as expected FROM
-  cdb_observatory._OBS_Get(
-    ST_SetSRID(ST_Point(0, 0), 4326),
-    Array['us.census.acs.B19013001']::text[],
-    '2010 - 2014',
-    'us.census.tiger.block_group'
-  )
-) select expected = 0 as OBS_Get_median_income_at_null_island
-  from result;
-
--- OBS_GetPoints
--- obs_getpoints
--- --------------------
--- {4809.33511352425}
-
--- SELECT
---   (cdb_observatory._OBS_GetPoints(
---     cdb_observatory._TestPoint(),
---     'obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308'::text, -- block groups (see _obs_geomtable)
---     (Array['{"colname":"total_pop","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates."}'::json])
---   ))[1]::text = '{"value":10923.093200390833950,"name":"Total Population","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","type":"Numeric","description":"The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates."}'
---   as OBS_GetPoints_for_test_point;
-WITH cte As (
-SELECT
-  (cdb_observatory._OBS_GetPoints(
-    cdb_observatory._TestPoint(),
-    'obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308'::text, -- block groups (see _obs_geomtable)
-    (Array['{"colname":"total_pop","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates."}'::json])
-  ))[1]
-  as OBS_GetPoints_for_test_point)
-SELECT
-  (abs((OBS_GetPoints_for_test_point ->> 'value')::numeric - 10923.093200390833950) / 10923.093200390833950) < 0.001 As OBS_GetPoints_for_test_point_value,
-  (OBS_GetPoints_for_test_point ->> 'name') = 'Total Population' As OBS_GetPoints_for_test_point_name,
-  (OBS_GetPoints_for_test_point ->> 'tablename') = 'obs_1a098da56badf5f32e336002b0a81708c40d29cd' As OBS_GetPoints_for_test_point_tablename,
-  (OBS_GetPoints_for_test_point ->> 'aggregate') = 'sum' As OBS_GetPoints_for_test_point_aggregate,
-  (OBS_GetPoints_for_test_point ->> 'type') = 'Numeric' As OBS_GetPoints_for_test_point_type,
-  (OBS_GetPoints_for_test_point ->> 'description') = 'The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.' As OBS_GetPoints_for_test_point_description
-FROM cte;
-
--- what happens at null island
-
-SELECT
-  (cdb_observatory._OBS_GetPoints(
-    ST_SetSRID(ST_Point(0, 0), 4326),
-    'obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308'::text, -- see example in obs_geomtable
-    (Array['{"colname":"total_pop","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates."}'::json])
-  ))[1]::text  is null
-  as OBS_GetPoints_for_null_island;
-
--- OBS_GetPolygons
---   obs_getpolygons
--- --------------------
---  {12996.8172420752}
-
-SELECT
-  (cdb_observatory._OBS_GetPolygons(
-    cdb_observatory._TestArea(),
-    'obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308'::text, -- see example in obs_geomtable
-    Array['{"colname":"total_pop","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates."}'::json]
-))[1]::text = '{"value":12327.3133495107,"name":"Total Population","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","type":"Numeric","description":"The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates."}'
-  as OBS_GetPolygons_for_test_point;
-
--- see what happens around null island
-SELECT
-  ((cdb_observatory._OBS_GetPolygons(
-    ST_Buffer(ST_SetSRID(ST_Point(0, 0), 4326)::geography, 500)::geometry,
-    'obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308'::text, -- see example in obs_geomtable
-    Array['{"colname":"total_pop","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates."}'::json])
-  )[1]->>'value') is null
-  as OBS_GetPolygons_for_null_island;
-
 SELECT cdb_observatory.OBS_GetSegmentSnapshot(
     cdb_observatory._TestPoint(),
     'us.census.tiger.census_tract'
-)::text =
+)::JSONB =
- '{"x10_segment":"Wealthy, urban without Kids","x55_segment":"Wealthy transplants displacing long-term local residents","us.census.acs.B01003001_quantile":"0.3235","us.census.acs.B01001002_quantile":"0.494716216216216","us.census.acs.B01001026_quantile":"0.183756756756757","us.census.acs.B01002001_quantile":"0.0752837837837838","us.census.acs.B03002003_quantile":"0.293162162162162","us.census.acs.B03002004_quantile":"0.455527027027027","us.census.acs.B03002006_quantile":"0.656405405405405","us.census.acs.B03002012_quantile":"0.840081081081081","us.census.acs.B05001006_quantile":"0.727135135135135","us.census.acs.B08006001_quantile":"0.688635135135135","us.census.acs.B08006002_quantile":"0.0204459459459459","us.census.acs.B08006008_quantile":"0.679324324324324","us.census.acs.B08006009_quantile":"0.996716216216216","us.census.acs.B08006011_quantile":"0.967418918918919","us.census.acs.B08006015_quantile":"0.512945945945946","us.census.acs.B08006017_quantile":"0.0504864864864865","us.census.acs.B09001001_quantile":"0.192405405405405","us.census.acs.B11001001_quantile":"0.331702702702703","us.census.acs.B14001001_quantile":"0.296283783783784","us.census.acs.B14001002_quantile":"0.045472972972973","us.census.acs.B14001005_quantile":"0.0442702702702703","us.census.acs.B14001006_quantile":"0.0829054054054054","us.census.acs.B14001007_quantile":"0.701135135135135","us.census.acs.B14001008_quantile":"0.404527027027027","us.census.acs.B15003001_quantile":"0.191824324324324","us.census.acs.B15003017_quantile":"0.864162162162162","us.census.acs.B15003022_quantile":"0.754297297297297","us.census.acs.B15003023_quantile":"0.350054054054054","us.census.acs.B16001001_quantile":"0.217635135135135","us.census.acs.B16001002_quantile":"0.85972972972973","us.census.acs.B16001003_quantile":"0.342851351351351","us.census.acs.B17001001_quantile":"0.51204054054054","us.census.acs.B17001002_quantile":"0.813540540540541","us.census.acs.B19013001_quantile":"0.0948648648648649","us.census.acs.B19083001_quantile":"0.678351351351351","us.census.acs.B19301001_quantile":"0.146108108108108","us.census.acs.B25001001_quantile":"0.149067567567568","us.census.acs.B25002003_quantile":"0","us.census.acs.B25004002_quantile":"0","us.census.acs.B25004004_quantile":"0.944554054054054","us.census.acs.B25058001_quantile":"0.398040540540541","us.census.acs.B25071001_quantile":"0.0596081081081081","us.census.acs.B25075001_quantile":"0","us.census.acs.B25075025_quantile":null}' as test_point_segmentation;
+ '{"x10_segment": "Wealthy, urban without Kids", "x55_segment": "Wealthy transplants displacing long-term local residents", "us.census.acs.B01001002_quantile": "0.494716216216216", "us.census.acs.B01001026_quantile": "0.183756756756757", "us.census.acs.B01002001_quantile": "0.0752837837837838", "us.census.acs.B01003001_quantile": "0.3235", "us.census.acs.B03002003_quantile": "0.293162162162162", "us.census.acs.B03002004_quantile": "0.455527027027027", "us.census.acs.B03002006_quantile": "0.656405405405405", "us.census.acs.B03002012_quantile": "0.840081081081081", "us.census.acs.B05001006_quantile": "0.727135135135135", "us.census.acs.B08006001_quantile": "0.688635135135135", "us.census.acs.B08006002_quantile": "0.0204459459459459", "us.census.acs.B08006009_quantile": "0.679324324324324", "us.census.acs.B08006011_quantile": "0.996716216216216", "us.census.acs.B08006015_quantile": "0.967418918918919", "us.census.acs.B08006017_quantile": "0.512945945945946", "us.census.acs.B08301010_quantile": "0.994743243243243", "us.census.acs.B09001001_quantile": "0.0504864864864865", "us.census.acs.B11001001_quantile": "0.192405405405405", "us.census.acs.B14001001_quantile": "0.331702702702703", "us.census.acs.B14001002_quantile": "0.296283783783784", "us.census.acs.B14001005_quantile": "0.045472972972973", "us.census.acs.B14001006_quantile": "0.0442702702702703", "us.census.acs.B14001007_quantile": "0.0829054054054054", "us.census.acs.B14001008_quantile": "0.701135135135135", "us.census.acs.B15003001_quantile": "0.404527027027027", "us.census.acs.B15003017_quantile": "0.191824324324324", "us.census.acs.B15003022_quantile": "0.864162162162162", "us.census.acs.B15003023_quantile": "0.754297297297297", "us.census.acs.B16001001_quantile": "0.350054054054054", "us.census.acs.B16001002_quantile": "0.217635135135135", "us.census.acs.B16001003_quantile": "0.85972972972973", "us.census.acs.B17001001_quantile": "0.342851351351351", "us.census.acs.B17001002_quantile": "0.51204054054054", "us.census.acs.B19013001_quantile": "0.813540540540541", "us.census.acs.B19083001_quantile": "0.0948648648648649", "us.census.acs.B19301001_quantile": "0.678351351351351", "us.census.acs.B25001001_quantile": "0.146108108108108", "us.census.acs.B25002003_quantile": "0.149067567567568", "us.census.acs.B25004002_quantile": "0", "us.census.acs.B25004004_quantile": "0", "us.census.acs.B25058001_quantile": "0.944554054054054", "us.census.acs.B25071001_quantile": "0.398040540540541", "us.census.acs.B25075001_quantile": "0.0596081081081081", "us.census.acs.B25075025_quantile": "0"}'::JSONB as test_point_segmentation;
 
 -- segmentation around null island
 SELECT cdb_observatory.OBS_GetSegmentSnapshot(
     ST_SetSRID(ST_Point(0, 0), 4326),
     'us.census.tiger.census_tract'
-)::text = '{"x10_segment":null,"x55_segment":null,"us.census.acs.B01003001_quantile":null,"us.census.acs.B01001002_quantile":null,"us.census.acs.B01001026_quantile":null,"us.census.acs.B01002001_quantile":null,"us.census.acs.B03002003_quantile":null,"us.census.acs.B03002004_quantile":null,"us.census.acs.B03002006_quantile":null,"us.census.acs.B03002012_quantile":null,"us.census.acs.B05001006_quantile":null,"us.census.acs.B08006001_quantile":null,"us.census.acs.B08006002_quantile":null,"us.census.acs.B08006008_quantile":null,"us.census.acs.B08006009_quantile":null,"us.census.acs.B08006011_quantile":null,"us.census.acs.B08006015_quantile":null,"us.census.acs.B08006017_quantile":null,"us.census.acs.B09001001_quantile":null,"us.census.acs.B11001001_quantile":null,"us.census.acs.B14001001_quantile":null,"us.census.acs.B14001002_quantile":null,"us.census.acs.B14001005_quantile":null,"us.census.acs.B14001006_quantile":null,"us.census.acs.B14001007_quantile":null,"us.census.acs.B14001008_quantile":null,"us.census.acs.B15003001_quantile":null,"us.census.acs.B15003017_quantile":null,"us.census.acs.B15003022_quantile":null,"us.census.acs.B15003023_quantile":null,"us.census.acs.B16001001_quantile":null,"us.census.acs.B16001002_quantile":null,"us.census.acs.B16001003_quantile":null,"us.census.acs.B17001001_quantile":null,"us.census.acs.B17001002_quantile":null,"us.census.acs.B19013001_quantile":null,"us.census.acs.B19083001_quantile":null,"us.census.acs.B19301001_quantile":null,"us.census.acs.B25001001_quantile":null,"us.census.acs.B25002003_quantile":null,"us.census.acs.B25004002_quantile":null,"us.census.acs.B25004004_quantile":null,"us.census.acs.B25058001_quantile":null,"us.census.acs.B25071001_quantile":null,"us.census.acs.B25075001_quantile":null,"us.census.acs.B25075025_quantile":null}' as null_island_segmentation;
+)::text is null as null_island_segmentation;
-
-WITH result as (
-  SELECT array_agg(_OBS_GetCategories) as expected FROM
-    cdb_observatory._OBS_GetCategories(
-      cdb_observatory._TestPoint(),
-      Array['us.census.spielman_singleton_segments.X10'],
-      'us.census.tiger.census_tract'
-  )
-)
-  select (expected)[1]::text = '{"category":"Wealthy, urban without Kids","name":"Spielman-Singleton Segments: 10 Clusters","tablename":"obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d","aggregate":null,"type":"Text","description":"Sociodemographic classes from Spielman and Singleton 2015, 10 clusters"}' as GetCategories_at_test_point_1
-  from result;
-
-WITH result as (
-  SELECT array_agg(_OBS_GetCategories) as expected FROM
-    cdb_observatory._OBS_GetCategories(
-      ST_SetSRID(ST_Point(0,0), 4326),
-      Array['us.census.spielman_singleton_segments.X10'],
-      'us.census.tiger.census_tract'
-  )
-)
-  select expected[0] is NULL as GetCategories_at_null_island
-  from result;
 
 -- Point-based OBS_GetMeasure with zillow
 SELECT abs(OBS_GetMeasure_zhvi_point - 597900) / 597900 < 5.0 AS OBS_GetMeasure_zhvi_point_test FROM cdb_observatory.OBS_GetMeasure(
@@ -196,7 +89,7 @@ SELECT (abs(cdb_observatory.OBS_GetMeasure(
 -- Poly-based OBS_GetMeasure with denominator normalization
 SELECT abs(cdb_observatory.OBS_GetMeasure(
   cdb_observatory._TestArea(),
-  'us.census.acs.B01001002', 'denominator') - 0.49026340444793965457) / 0.49026340444793965457 < 0.001 As OBS_GetMeasure_total_male_poly_denominator;
+  'us.census.acs.B01001002', 'denominator', null, '2010 - 2014') - 0.49026340444793965457) / 0.49026340444793965457 < 0.001 As OBS_GetMeasure_total_male_poly_denominator;
 
 -- Poly-based OBS_GetMeasure with one very bad geom
 SELECT abs(cdb_observatory.OBS_GetMeasure(
@@ -219,7 +112,7 @@ SELECT cdb_observatory.OBS_GetCategory(
 
 -- Poly-based OBS_GetCategory
 SELECT cdb_observatory.OBS_GetCategory(
-  cdb_observatory._TestArea(), 'us.census.spielman_singleton_segments.X10') = 'Wealthy, urban without Kids' As obs_getcategory_polygon;
+  cdb_observatory._TestArea(), 'us.census.spielman_singleton_segments.X10') = 'Hispanic and Young' As obs_getcategory_polygon;
 
 -- NULL Input OBS_GetCategory
 SELECT cdb_observatory.OBS_GetCategory(
@@ -276,7 +169,7 @@ SELECT cdb_observatory.OBS_GetUSCensusCategory(
 
 -- Area-based OBS_GetUSCensusCategory
 SELECT cdb_observatory.OBS_GetUSCensusCategory(
-  cdb_observatory._testarea(), 'Spielman-Singleton Segments: 10 Clusters') = 'Wealthy, urban without Kids' As OBS_GetUSCensusCategory_polygon;
+  cdb_observatory._testarea(), 'Spielman-Singleton Segments: 10 Clusters') = 'Hispanic and Young' As OBS_GetUSCensusCategory_polygon;
 
 -- Null-input OBS_GetUSCensusCategory
 SELECT cdb_observatory.OBS_GetUSCensusCategory(
@@ -323,3 +216,535 @@ SELECT cdb_observatory.OBS_GetMeasureById(
   'us.census.tiger.block_group',
   '2010 - 2014'
 ) IS NULL As OBS_GetMeasureById_null_id;
+
+-- OBS_GetMeta null/null
+SELECT cdb_observatory.OBS_GetMeta(NULL, NULL) IS NULL
+AS OBS_GetMeta_null_null_is_null;
+
+-- OBS_GetMeta null/empty array
+SELECT cdb_observatory.OBS_GetMeta(NULL, '[]') IS NULL
+AS OBS_GetMeta_null_empty_is_null;
+
+-- OBS_GetMeta nullisland/null
+SELECT cdb_observatory.OBS_GetMeta(ST_Point(0, 0), NULL) IS NULL
+AS OBS_GetMeta_nullisland_null_is_null;
+
+-- OBS_GetMeta nullisland/empty array
+SELECT cdb_observatory.OBS_GetMeta(ST_Point(0, 0), '[]') IS NULL
+AS OBS_GetMeta_nullisland_empty_is_null;
+
+-- OBS_GetMeta nullisland/us_measure data
+SELECT cdb_observatory.OBS_GetMeta(ST_Point(0, 0),
+  '[{"numer_id": "us.census.acs.B01003001"}]') IS NULL
+AS OBS_GetMeta_nullisland_us_measure_is_null;
+
+-- OBS_GetMeta for point completes one partial measure with "best" metadata
+-- with no denominator
+WITH meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01003001"}]') meta)
+SELECT
+(meta->0->>'id')::integer = 1 id,
+(meta->0->>'numer_id') = 'us.census.acs.B01003001' numer_id,
+(meta->0->>'timespan_rank')::integer = 1 timespan_rank,
+(meta->0->>'score_rank')::integer = 1 score_rank,
+(meta->0->>'numer_aggregate') = 'sum' numer_aggregate,
+(meta->0->>'numer_colname') = 'total_pop' numer_colname,
+(meta->0->>'numer_type') = 'Numeric' numer_type,
+(meta->0->>'numer_name') = 'Total Population' numer_name,
+(meta->0->>'denom_id') IS NULL denom_id,
+(meta->0->>'geom_id') = 'us.census.tiger.block_group' geom_id,
+(meta->0->>'normalization') IS NULL normalization
+FROM meta;
+
+-- OBS_GetMeta for point completes one partial measure with "best" metadata
+-- with a denominator
+WITH meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01001002"}]') meta)
+SELECT
+(meta->0->>'id')::integer = 1 id,
+(meta->0->>'numer_id') = 'us.census.acs.B01001002' numer_id,
+(meta->0->>'timespan_rank')::integer = 1 timespan_rank,
+(meta->0->>'score_rank')::integer = 1 score_rank,
+(meta->0->>'numer_aggregate') = 'sum' numer_aggregate,
+(meta->0->>'numer_colname') = 'male_pop' numer_colname,
+(meta->0->>'numer_type') = 'Numeric' numer_type,
+(meta->0->>'numer_name') = 'Male Population' numer_name,
+(meta->0->>'denom_id') = 'us.census.acs.B01003001' denom_id,
+(meta->0->>'denom_aggregate') = 'sum' denom_aggregate,
+(meta->0->>'denom_colname') = 'total_pop' denom_colname,
+(meta->0->>'denom_type') = 'Numeric' denom_type,
+(meta->0->>'denom_name') = 'Total Population' denom_name,
+(meta->0->>'geom_id') = 'us.census.tiger.block_group' geom_id,
+(meta->0->>'normalization') IS NULL normalization
+FROM meta;
+
+-- OBS_GetMeta for polygon completes one partial measure with "best" metadata
+-- with no denominator
+WITH meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01003001"}]') meta)
+SELECT
+(meta->0->>'id')::integer = 1 id,
+(meta->0->>'numer_id') = 'us.census.acs.B01003001' numer_id,
+(meta->0->>'timespan_rank')::integer = 1 timespan_rank,
+(meta->0->>'score_rank')::integer = 1 score_rank,
+(meta->0->>'numer_aggregate') = 'sum' numer_aggregate,
+(meta->0->>'numer_colname') = 'total_pop' numer_colname,
+(meta->0->>'numer_type') = 'Numeric' numer_type,
+(meta->0->>'numer_name') = 'Total Population' numer_name,
+(meta->0->>'denom_id') IS NULL denom_id,
+(meta->0->>'geom_id') = 'us.census.tiger.block_group' geom_id,
+(meta->0->>'normalization') IS NULL normalization
+FROM meta;
+
+-- OBS_GetMeta for polygon completes one partial measure with "best" metadata
+-- with a denominator
+WITH meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01001002"}]') meta)
+SELECT
+(meta->0->>'id')::integer = 1 id,
+(meta->0->>'numer_id') = 'us.census.acs.B01001002' numer_id,
+(meta->0->>'timespan_rank')::integer = 1 timespan_rank,
+(meta->0->>'score_rank')::integer = 1 score_rank,
+(meta->0->>'numer_aggregate') = 'sum' numer_aggregate,
+(meta->0->>'numer_colname') = 'male_pop' numer_colname,
+(meta->0->>'numer_type') = 'Numeric' numer_type,
+(meta->0->>'numer_name') = 'Male Population' numer_name,
+(meta->0->>'denom_id') = 'us.census.acs.B01003001' denom_id,
+(meta->0->>'denom_aggregate') = 'sum' denom_aggregate,
+(meta->0->>'denom_colname') = 'total_pop' denom_colname,
+(meta->0->>'denom_type') = 'Numeric' denom_type,
+(meta->0->>'denom_name') = 'Total Population' denom_name,
+(meta->0->>'geom_id') = 'us.census.tiger.block_group' geom_id,
+(meta->0->>'normalization') IS NULL normalization
+FROM meta;
+
+-- OBS_GetMeta for point completes several partial measures with "best"
+-- metadata, includes geom alternatives if asked
+WITH meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01001002"}]', null, 2) meta)
+SELECT
+(meta->0->>'id')::integer = 1 id,
+(meta->0->>'numer_id') = 'us.census.acs.B01001002' numer_id,
+(meta->0->>'timespan_rank')::integer = 1 timespan_rank,
+(meta->0->>'score_rank')::integer = 1 score_rank,
+(meta->0->>'numer_aggregate') = 'sum' numer_aggregate,
+(meta->0->>'numer_colname') = 'male_pop' numer_colname,
+(meta->0->>'numer_type') = 'Numeric' numer_type,
+(meta->0->>'numer_name') = 'Male Population' numer_name,
+(meta->0->>'denom_id') = 'us.census.acs.B01003001' denom_id,
+(meta->0->>'denom_aggregate') = 'sum' denom_aggregate,
+(meta->0->>'denom_colname') = 'total_pop' denom_colname,
+(meta->0->>'denom_type') = 'Numeric' denom_type,
+(meta->0->>'denom_name') = 'Total Population' denom_name,
+(meta->0->>'geom_id') = 'us.census.tiger.block_group' geom_id,
+(meta->0->>'normalization') IS NULL normalization,
+(meta->1->>'id')::integer = 1 id,
+(meta->1->>'numer_id') = 'us.census.acs.B01001002' numer_id,
+(meta->1->>'timespan_rank')::integer = 1 timespan_rank,
+(meta->1->>'score_rank')::integer = 2 score_rank,
+(meta->1->>'numer_aggregate') = 'sum' numer_aggregate,
+(meta->1->>'numer_colname') = 'male_pop' numer_colname,
+(meta->1->>'numer_type') = 'Numeric' numer_type,
+(meta->1->>'numer_name') = 'Male Population' numer_name,
+(meta->1->>'denom_id') = 'us.census.acs.B01003001' denom_id,
+(meta->1->>'denom_aggregate') = 'sum' denom_aggregate,
+(meta->1->>'denom_colname') = 'total_pop' denom_colname,
+(meta->1->>'denom_type') = 'Numeric' denom_type,
+(meta->1->>'denom_name') = 'Total Population' denom_name,
+(meta->1->>'geom_id') = 'us.census.tiger.census_tract' geom_id,
+(meta->1->>'normalization') IS NULL normalization
+FROM meta;
+
+-- OBS_GetMeta for point completes several partial measures with "best" metadata
+-- with pre-computed geom
+WITH meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01001002", "geom_id": "us.census.tiger.census_tract"}]') meta)
+SELECT
+(meta->0->>'id')::integer = 1 id,
+(meta->0->>'numer_id') = 'us.census.acs.B01001002' numer_id,
+(meta->0->>'timespan_rank')::integer = 1 timespan_rank,
+(meta->0->>'score_rank')::integer = 1 score_rank,
+(meta->0->>'numer_aggregate') = 'sum' numer_aggregate,
+(meta->0->>'numer_colname') = 'male_pop' numer_colname,
+(meta->0->>'numer_type') = 'Numeric' numer_type,
+(meta->0->>'numer_name') = 'Male Population' numer_name,
+(meta->0->>'denom_id') = 'us.census.acs.B01003001' denom_id,
+(meta->0->>'denom_aggregate') = 'sum' denom_aggregate,
+(meta->0->>'denom_colname') = 'total_pop' denom_colname,
+(meta->0->>'denom_type') = 'Numeric' denom_type,
+(meta->0->>'denom_name') = 'Total Population' denom_name,
+(meta->0->>'geom_id') = 'us.census.tiger.census_tract' geom_id,
+(meta->0->>'normalization') IS NULL normalization
+FROM meta;
+
+-- OBS_GetMeta for point completes several partial measures with conflicting
+-- metadata
+SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01001002", "denom_id": "us.census.acs.B01001002", "geom_id": "us.census.tiger.census_tract"}]') IS NULL
+AS obs_getmeta_conflicting_metadata;
+
+-- OBS_GetData/OBS_GetMeta by id with empty list/null
+WITH data AS (SELECT * FROM cdb_observatory.OBS_GetData(ARRAY[]::TEXT[], null))
+SELECT ARRAY_AGG(data) IS NULL AS obs_getdata_geomval_empty_null FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with empty list/null
+WITH data AS (SELECT * FROM cdb_observatory.OBS_GetData(ARRAY[]::GEOMVAL[], null))
+SELECT ARRAY_AGG(data) IS NULL AS obs_getdata_text_empty_null FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with empty list
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01003001"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(ARRAY[]::GEOMVAL[],
+  (SELECT meta FROM meta)))
+SELECT ARRAY_AGG(data) IS NULL AS obs_getdata_geomval_empty_one_measure FROM data;
+
+-- OBS_GetData/OBS_GetMeta by point geom with one standard measure NULL
+-- normalization
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01003001"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestPoint(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 10923) / 10923 < 0.001 data_point_measure_null,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by polygon geom with one standard measure NULL
+-- normalization
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01003001"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 15787) / 15787 < 0.001 data_polygon_measure_null,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by point geom with one standard measure area
+-- normalization
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01003001", "normalization": "area"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestPoint(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 10923) / 10923 < 0.001 data_point_measure_area,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by polygon geom with one standard measure area
+-- normalization
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01003001", "normalization": "area"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 15787) / 15787 < 0.001 data_polygon_measure_area,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by point geom with one standard measure predenom
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01003001", "normalization": "predenominated"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestPoint(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 1900) / 1900 < 0.001 data_point_measure_predenominated,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by polygon geom with one standard measure predenom
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01003001", "normalization": "predenominated"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 12327) / 12327 < 0.001 data_polygon_measure_predenominated,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by point geom with impossible denom
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01003001", "normalization": "denominated"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestPoint(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       data->0->>'value' IS NULL data_point_measure_impossible_denominated,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by polygon geom with one impossible denom
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01003001", "normalization": "denominated"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       data->0->>'value' IS NULL data_polygon_measure_impossible_denominated,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by point geom with denom
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.acs.B01001002", "normalization": "denominated"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestPoint(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 0.6215) / 0.6215 < 0.001 data_point_measure_denominated,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by polygon geom with one denom measure
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01001002", "normalization": "denominated"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 0.4902) / 0.4902 < 0.001 data_polygon_measure_denominated,
+       data->1 IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with two standard measures NULL normalization
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01003001"}, {"numer_id": "us.census.acs.B01001002"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 15787) / 15787 < 0.001 data_polygon_measure_one_null,
+       abs((data->1->>'value')::Numeric - 0.4902) / 0.4902 < 0.001 data_polygon_measure_two_null
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with two standard measures predenom normalization
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01003001", "normalization": "predenom"}, {"numer_id": "us.census.acs.B01001002", "normalization": "predenom"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 12327) / 12327 < 0.001 data_polygon_measure_one_predenom,
+       abs((data->1->>'value')::Numeric - 6043) / 6043 < 0.001 data_polygon_measure_two_predenom
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with two standard measures area normalization
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01003001", "normalization": "area"}, {"numer_id": "us.census.acs.B01001002", "normalization": "area"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 15787) / 15787 < 0.001 data_polygon_measure_one_area,
+       abs((data->1->>'value')::Numeric - 7739) / 7739 < 0.001 data_polygon_measure_two_area
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with two standard measures different geoms
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.census_tract"}, {"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.block_group"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       abs((data->0->>'value')::Numeric - 16960) / 16960 < 0.001 data_polygon_measure_tract,
+       abs((data->1->>'value')::Numeric - 15787) / 15787 < 0.001 data_polygon_measure_bg
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by point geom with one categorical
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestPoint(),
+  '[{"numer_id": "us.census.spielman_singleton_segments.X55"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestPoint(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       data->0->>'value' = 'Wealthy transplants displacing long-term local residents' data_point_categorical,
+       data->1->>'value' IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by polygon geom with one categorical
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.spielman_singleton_segments.X55"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       data->0->>'value' = 'Hispanic Black mix multilingual, high poverty, renters, uses public transport' data_poly_categorical,
+       data->1->>'value' IS NULL nullcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with one categorical and one measure
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"numer_id": "us.census.spielman_singleton_segments.X55"}, {"numer_id": "us.census.acs.B01003001"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta)))
+SELECT id = 1 id,
+       data->0->>'value' = 'Hispanic Black mix multilingual, high poverty, renters, uses public transport' data_poly_categorical,
+       abs((data->1->>'value')::Numeric - 15787) / 15787 < 0.0001 valcol
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with polygons inside a polygon
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"geom_id": "us.census.tiger.block_group"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta), false))
+SELECT every(id = 1) is TRUE id,
+       count(distinct (data->0->>'value')::geometry) = 16 correct_num_geoms
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with polygons inside a polygon + one measure
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"geom_id": "us.census.tiger.block_group"}, {"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.block_group"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta), false))
+SELECT every(id = 1) is TRUE id,
+       count(distinct (data->0->>'value')::geometry) = 16 correct_num_geoms,
+       abs(sum((data->1->>'value')::numeric) - 15787) / 15787 < 0.001 correct_pop
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with polygons inside a polygon + one measure + one text
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"geom_id": "us.census.tiger.block_group"}, {"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.block_group"}, {"numer_id": "us.census.tiger.name", "geom_id": "us.census.tiger.block_group"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta), false))
+SELECT every(id = 1) is TRUE id,
+       count(distinct (data->0->>'value')::geometry) = 16 correct_num_geoms,
+       abs(sum((data->1->>'value')::numeric) - 15787) / 15787 < 0.001 correct_pop,
+       array_agg(distinct data->2->>'value') = '{"Block Group 1","Block Group 2","Block Group 3","Block Group 4","Block Group 5"}' correct_bg_names
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with points inside a polygon
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"geom_id": "us.census.tiger.pointlm_geom"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta), false))
+SELECT every(id = 1) AS id,
+       count(distinct (data->0->>'value')::geometry(point, 4326)) = 3 correct_num_points
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by geom with points inside a polygon + one text
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"geom_id": "us.census.tiger.pointlm_geom"}, {"geom_id": "us.census.tiger.pointlm_geom", "numer_id": "us.census.tiger.fullname"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY[(cdb_observatory._TestArea(), 1)::geomval],
+  (SELECT meta FROM meta), false))
+SELECT every(id = 1) AS id,
+       count(distinct (data->0->>'value')::geometry(point, 4326)) = 3 correct_num_points,
+       array_agg(data->1->>'value') = '{"Bushwick Yards","Edward Block Square","Bushwick Houses"}' pointgeom_names
+FROM data;
+
+
+-- OBS_GetData by id with one standard measure
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"geom_id": "us.census.tiger.census_tract", "numer_id": "us.census.acs.B01003001"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY['36047048500'],
+    (SELECT meta FROM meta)))
+SELECT id = '36047048500' AS id,
+       (abs((data->0->>'value')::numeric) - 5578) / 5578 < 0.001 obs_getdata_by_id_one_measure_null
+FROM data;
+
+-- OBS_GetData by id with one standard measure, predenominated
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"normalization": "predenominated", "geom_id": "us.census.tiger.census_tract", "numer_id": "us.census.acs.B01003001"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY['36047048500'],
+    (SELECT meta FROM meta)))
+SELECT id = '36047048500' AS id,
+       (abs((data->0->>'value')::numeric) - 3241) / 3241 < 0.001 obs_getdata_by_id_one_measure_predenom
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by id with two standard measures
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"geom_id": "us.census.tiger.census_tract", "numer_id": "us.census.acs.B01003001"}, {"geom_id": "us.census.tiger.census_tract", "numer_id": "us.census.acs.B01001002"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY['36047048500'],
+    (SELECT meta FROM meta)))
+SELECT id = '36047048500' AS id,
+       (abs((data->0->>'value')::numeric) - 5578) / 5578 < 0.001 obs_getdata_by_id_one_measure_null,
+       (abs((data->1->>'value')::numeric) - 0.6053) / 0.6053 < 0.001 obs_getdata_by_id_two_measure_null
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by id with one categorical
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"geom_id": "us.census.tiger.census_tract", "numer_id": "us.census.spielman_singleton_segments.X55"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY['36047048500'],
+    (SELECT meta FROM meta)))
+SELECT id = '36047048500' AS id,
+       data->0->>'value' = 'Wealthy transplants displacing long-term local residents' obs_getdata_by_id_categorical
+FROM data;
+
+-- OBS_GetData/OBS_GetMeta by id with one geometry
+WITH
+meta AS (SELECT cdb_observatory.OBS_GetMeta(cdb_observatory._TestArea(),
+  '[{"geom_id": "us.census.tiger.census_tract"}]') meta),
+data AS (SELECT * FROM cdb_observatory.OBS_GetData(
+    ARRAY['36047048500'],
+    (SELECT meta FROM meta)))
+SELECT id = '36047048500' AS id,
+       ST_GeometryType((data->0->>'value')::geometry) = 'ST_MultiPolygon' obs_getdata_by_id_geometry
+FROM data;
+
+-- OBS_GetData with an API + geomvals, no args
+SELECT ARRAY['us.census.tiger.census_tract'] <@ array_agg(data->0->>'value') AS OBS_GetData_API_geomvals_no_args
+FROM cdb_observatory.obs_getdata(array[(cdb_observatory._testarea(), 1)::geomval],
+  '[{"numer_type": "text", "numer_colname": "boundary_id", "api_method": "obs_getavailableboundaries", "geom_geomref_colname": "boundary_id"}]',
+  false);
+
+-- OBS_GetData with an API + geomvals, args, numeric
+SELECT json_typeof(data->0->'value') = 'number' AS OBS_GetData_API_geomvals_args_numer_return
+FROM cdb_observatory.obs_getdata(array[(cdb_observatory._testarea(), 1)::geomval],
+    '[{"numer_type": "numeric", "numer_colname": "obs_getmeasure", "api_method": "obs_getmeasure", "api_args": ["us.census.acs.B01003001"]}]', false);
+
+-- OBS_GetData with an API + geomvals, args, text
+SELECT json_typeof(data->0->'value') = 'string' AS OBS_GetData_API_geomvals_args_string_return
+FROM cdb_observatory.obs_getdata(array[(cdb_observatory._testarea(), 1)::geomval],
+    '[{"numer_type": "text", "numer_colname": "obs_getcategory", "api_method": "obs_getcategory", "api_args": ["us.census.spielman_singleton_segments.X55"]}]', false);
+
+-- OBS_GetData with an API + geomrefs, args, numeric
+SELECT json_typeof(data->0->'value') = 'number' AS OBS_GetData_API_geomrefs_args_numer_return
+FROM cdb_observatory.obs_getdata(array['36047076200'],
+      '[{"numer_type": "numeric", "numer_colname": "obs_getmeasurebyid", "api_method": "obs_getmeasurebyid", "api_args": ["us.census.acs.B01003001", "us.census.tiger.census_tract"]}]');
+
+-- OBS_GetData with an API + geomrefs, args, text
+SELECT json_typeof(data->0->'value') = 'string' AS OBS_GetData_API_geomrefs_args_string_return
+FROM cdb_observatory.obs_getdata(array['36047'],
+      '[{"numer_type": "text", "numer_colname": "obs_getboundarybyid", "api_method": "obs_getboundarybyid", "api_args": ["us.census.tiger.county"]}]');

src/pg/test/sql/42_observatory_exploration_test.sql

@@ -10,11 +10,11 @@ SET client_min_messages TO WARNING;
 
 -- _OBS_SearchTables tests
 SELECT
-  t.table_name = 'obs_1babf5a26a1ecda5fb74963e88408f71d0364b81' As _OBS_SearchTables_tables_match,
+  t.table_name = 'obs_0310c639744a2014bb1af82709228f05b59e7d3d' As _OBS_SearchTables_tables_match,
-  t.timespan = '2014' As _OBS_SearchTables_timespan_matches
+  t.timespan = '2015' As _OBS_SearchTables_timespan_matches
 FROM cdb_observatory._OBS_SearchTables(
   'us.census.tiger.county',
-  '2014'
+  '2015'
 ) As t(table_name, timespan);
 
 -- _OBS_SearchTables tests
@@ -278,9 +278,9 @@ AS _obs_getavailablegeometries_foobarbaz_denom_not_in_usa_bg;
 SELECT 'us.census.tiger.block_group' IN (SELECT geom_id
 FROM cdb_observatory.OBS_GetAvailableGeometries(
   ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326),
-  NULL, NULL, NULL, '2014'
+  NULL, NULL, NULL, '2015'
 ) WHERE valid_timespan = True)
-AS _obs_getavailablegeometries_bg_2014;
+AS _obs_getavailablegeometries_bg_2015;
 
 SELECT 'us.census.tiger.block_group' NOT IN (SELECT geom_id
 FROM cdb_observatory.OBS_GetAvailableGeometries(
@@ -350,126 +350,140 @@ AS _obs_getavailablegeometries_foobarbaz_denom_not_in_2010_2014;
 -- _OBS_GetGeometryScores tests
 --
 
-SELECT ARRAY_AGG(geom_id ORDER BY score DESC) =
+SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
        ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
              'us.census.tiger.county', 'us.census.tiger.zcta5']
        AS _obs_geometryscores_500m_buffer
        FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 500)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.county', 'us.census.tiger.zcta5']);
+        'us.census.tiger.county', 'us.census.tiger.zcta5'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT ARRAY_AGG(geom_id ORDER BY score DESC) =
+SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
        ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-             'us.census.tiger.county', 'us.census.tiger.zcta5']
+             'us.census.tiger.zcta5', 'us.census.tiger.county']
        AS _obs_geometryscores_5km_buffer
        FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 5000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.county', 'us.census.tiger.zcta5']);
+        'us.census.tiger.county', 'us.census.tiger.zcta5'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT ARRAY_AGG(geom_id ORDER BY score DESC) =
+SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
        ARRAY['us.census.tiger.census_tract', 'us.census.tiger.block_group',
              'us.census.tiger.zcta5', 'us.census.tiger.county']
        AS _obs_geometryscores_50km_buffer
        FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 50000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county']);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT ARRAY_AGG(geom_id ORDER BY score DESC) =
+SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
        ARRAY[ 'us.census.tiger.zcta5', 'us.census.tiger.census_tract',
               'us.census.tiger.county', 'us.census.tiger.block_group' ]
       AS _obs_geometryscores_500km_buffer
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 500000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county']);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT ARRAY_AGG(geom_id ORDER BY score DESC) =
+SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
        ARRAY['us.census.tiger.county', 'us.census.tiger.zcta5',
              'us.census.tiger.census_tract', 'us.census.tiger.block_group']
       AS _obs_geometryscores_2500km_buffer
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 2500000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county']);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT JSON_Object_Agg(geom_id, numgeoms::int ORDER BY numgeoms DESC)::Text
+SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text
       = '{ "us.census.tiger.block_group" : 9, "us.census.tiger.census_tract" : 3, "us.census.tiger.zcta5" : 0, "us.census.tiger.county" : 0 }'
       AS _obs_geometryscores_numgeoms_500m_buffer
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 500)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county']);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT JSON_Object_Agg(geom_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
+SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
-      '{ "us.census.tiger.block_group" : 899, "us.census.tiger.census_tract" : 328, "us.census.tiger.zcta5" : 45, "us.census.tiger.county" : 1 }'
+      '{ "us.census.tiger.block_group" : 880, "us.census.tiger.census_tract" : 310, "us.census.tiger.zcta5" : 45, "us.census.tiger.county" : 1 }'
       AS _obs_geometryscores_numgeoms_5km_buffer
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 5000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county']);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT JSON_Object_Agg(geom_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
+SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
-      '{ "us.census.tiger.block_group" : 12112, "us.census.tiger.census_tract" : 3792, "us.census.tiger.zcta5" : 550, "us.census.tiger.county" : 13 }'
+      '{ "us.census.tiger.block_group" : 11531, "us.census.tiger.census_tract" : 3601, "us.census.tiger.zcta5" : 550, "us.census.tiger.county" : 14 }'
       AS _obs_geometryscores_numgeoms_50km_buffer
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 50000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county']);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT JSON_Object_Agg(geom_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
+SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
-      '{ "us.census.tiger.block_group" : 48415, "us.census.tiger.census_tract" : 15776, "us.census.tiger.zcta5" : 6534, "us.census.tiger.county" : 295 }'
+      '{ "us.census.tiger.block_group" : 48917, "us.census.tiger.census_tract" : 15969, "us.census.tiger.zcta5" : 6534, "us.census.tiger.county" : 314 }'
       AS _obs_geometryscores_numgeoms_500km_buffer
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 500000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county']);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT JSON_Object_Agg(geom_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
+SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
-      '{ "us.census.tiger.block_group" : 165489, "us.census.tiger.census_tract" : 55152, "us.census.tiger.zcta5" : 26500, "us.census.tiger.county" : 2551 }'
+      '{ "us.census.tiger.block_group" : 169191, "us.census.tiger.census_tract" : 56469, "us.census.tiger.zcta5" : 26525, "us.census.tiger.county" : 2753 }'
       AS _obs_geometryscores_numgeoms_2500km_buffer
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 2500000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county']);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'])
+      WHERE table_id LIKE '%2015%';
 
-SELECT ARRAY_AGG(geom_id ORDER BY score DESC) =
+SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
-       ARRAY['us.census.tiger.county', 'us.census.tiger.census_tract',
+       ARRAY['us.census.tiger.county', 'us.census.tiger.zcta5',
-             'us.census.tiger.zcta5', 'us.census.tiger.block_group']
+             'us.census.tiger.census_tract', 'us.census.tiger.block_group']
       AS _obs_geometryscores_500km_buffer_50_geoms
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 50000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county'], 50);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'], 50)
+      WHERE table_id LIKE '%2015%';
 
-SELECT ARRAY_AGG(geom_id ORDER BY score DESC)
+SELECT ARRAY_AGG(column_id ORDER BY score DESC)
       = ARRAY['us.census.tiger.zcta5', 'us.census.tiger.census_tract',
-              'us.census.tiger.block_group', 'us.census.tiger.county']
+              'us.census.tiger.county', 'us.census.tiger.block_group']
       AS _obs_geometryscores_500km_buffer_500_geoms
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 50000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county'], 500);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'], 500)
+      WHERE table_id LIKE '%2015%';
 
-SELECT ARRAY_AGG(geom_id ORDER BY score DESC) =
+SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
        ARRAY['us.census.tiger.census_tract', 'us.census.tiger.block_group',
              'us.census.tiger.zcta5', 'us.census.tiger.county']
       AS _obs_geometryscores_500km_buffer_2500_geoms
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 50000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county'], 2500);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'], 2500)
+      WHERE table_id LIKE '%2015%';
 
-SELECT ARRAY_AGG(geom_id ORDER BY score DESC) =
+SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
        ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
              'us.census.tiger.zcta5', 'us.census.tiger.county']
       AS _obs_geometryscores_500km_buffer_25000_geoms
       FROM cdb_observatory._OBS_GetGeometryScores(
   ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 50000)::Geometry(Geometry, 4326),
   ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
-        'us.census.tiger.zcta5', 'us.census.tiger.county'], 25000);
+        'us.census.tiger.zcta5', 'us.census.tiger.county'], 25000)
+      WHERE table_id LIKE '%2015%';
 
 --
 -- OBS_LegacyBuilderMetadata tests

src/pg/test/sql/44_observatory_geometries_test.sql

@@ -42,7 +42,7 @@ SELECT cdb_observatory.OBS_GetBoundary(
 SELECT cdb_observatory.OBS_GetBoundary(
   cdb_observatory._TestPoint(),
   'us.census.tiger.census_tract',
-  '2014'
+  '2015'
 ) = :'cartodb_census_tract_geometry' As OBS_GetBoundary_year_census_tract;
 
 -- should return null
@@ -65,7 +65,7 @@ SELECT cdb_observatory.OBS_GetBoundaryId(
 SELECT cdb_observatory.OBS_GetBoundaryId(
   cdb_observatory._TestPoint(),
   'us.census.tiger.census_tract',
-  '2014'
+  '2015'
 ) = '36047048500'::text As OBS_GetBoundaryId_cartodb_census_tract_with_year;
 
 -- should give back '36047', the geoid of cartodb's county (King's/
@@ -73,7 +73,7 @@ SELECT cdb_observatory.OBS_GetBoundaryId(
 SELECT cdb_observatory.OBS_GetBoundaryId(
   cdb_observatory._TestPoint(),
   'us.census.tiger.county',
-  '2014'
+  '2015'
 ) = '36047'::text As OBS_GetBoundaryId_cartodb_county_with_year;
 
 -- should give back null since there is not a census tract at null island
@@ -104,7 +104,7 @@ SELECT cdb_observatory.OBS_GetBoundaryById(
 SELECT cdb_observatory.OBS_GetBoundaryById(
   '36047',
   'us.census.tiger.county',
-  '2014'
+  '2015'
 ) = :'cartodb_county_geometry' OBS_GetBoundaryById_boundary_id_mismatch_geom_id;
 
 -- should give null since boundary_id does not match geometry reference id
@@ -115,6 +115,34 @@ SELECT cdb_observatory.OBS_GetBoundaryById(
 
 -- _OBS_GetBoundariesByGeometry
 
+SELECT array_agg(geom_refs) = Array[ '1104486618765', '1104486642837',
+                                '1104991798384', '1105044325367',
+                                '1105089330200', '1105089331758']
+As _OBS_GetBoundariesByGeometry_roads_around_cartodb
+FROM (
+  SELECT *
+  FROM cdb_observatory._OBS_GetBoundariesByGeometry(
+    -- near CartoDB's office
+    ST_MakeEnvelope(-74,40.69,-73.99,40.7,
+                    4326),
+    'us.census.tiger.prisecroads_geom')
+  ORDER BY geom_refs ASC
+) As m(the_geom, geom_refs);
+
+SELECT
+  array_agg(geom_refs) = Array['1102654301684', '1102654307106',
+                               '1102654326686', '1102654351507' ]
+As _OBS_GetBoundariesByGeometry_points_around_cartodb
+FROM (
+  SELECT *
+  FROM cdb_observatory._OBS_GetBoundariesByGeometry(
+    -- near CartoDB's office
+    ST_MakeEnvelope(-73.9452409744,40.6988851644,-73.9280319214,40.7101254524,
+                    4326),
+    'us.census.tiger.pointlm_geom')
+  ORDER BY geom_refs ASC
+) As m(the_geom, geom_refs);
+
 -- check that all census tracts intersecting with the geometry are returned
 -- order them to ensure that the same values are returned
 SELECT
@@ -270,7 +298,7 @@ FROM (
                     -73.9280319214,40.7101254524,
                     4326),
     'us.census.tiger.census_tract',
-    '2014')
+    '2015')
   ORDER BY geom_refs ASC
 ) As m(the_geom, geom_refs);
 
@@ -313,7 +341,7 @@ FROM (
     cdb_observatory._testpoint(),
     500,
     'us.census.tiger.census_tract',
-    '2014')
+    '2015')
   ORDER BY geom_refs ASC
 ) As m(the_geom, geom_refs);
 
@@ -330,21 +358,4 @@ FROM (
   ORDER BY geom_refs ASC
 ) As m(the_geom, geom_refs);
 
--- _OBS_GetGeometryMetadata
--- get metadata for census tracts
-
-SELECT
-  geoid_colname = 'geoid' As geoid_name_matches,
-  target_table = 'obs_fc050f0b8673cfe3c6aa1040f749eb40975691b7' As table_name_matches,
-  geom_colname = 'the_geom' As geom_name_matches
-FROM cdb_observatory._OBS_GetGeometryMetadata('us.census.tiger.census_tract')
-     As m(geoid_colname, target_table, geom_colname);
-
--- get metadata for boundaries with clipped geometries
- SELECT
-   geoid_colname = 'geoid' As geoid_name_matches,
-   target_table = 'obs_fcd4e4f5610f6764973ef8c0c215b2e80bec8963' As table_name_matches,
-   geom_colname = 'the_geom' As geom_name_matches
- FROM cdb_observatory._OBS_GetGeometryMetadata('us.census.tiger.census_tract_clipped') As m(geoid_colname, target_table, geom_colname);
-
 \i test/fixtures/drop_fixtures.sql

src/python/test/autotest.py

@@ -65,7 +65,14 @@ SKIP_COLUMNS = set([
     u'mx.inegi_columns.VIV41',
     u'mx.inegi_columns.VIV40',
     u'mx.inegi_columns.VIV17',
-    u'mx.inegi_columns.EDU10'
+    u'mx.inegi_columns.VIV25',
+    u'mx.inegi_columns.EDU10',
+    u'whosonfirst.wof_disputed_name',
+    u'us.census.tiger.fullname',
+    u'whosonfirst.wof_marinearea_name',
+    u'us.census.tiger.mtfcc',
+    u'whosonfirst.wof_county_name',
+    u'whosonfirst.wof_region_name',
 ])
 
 #def default_geometry_id(column_id):

src/python/test/perftest.py

@@ -23,11 +23,11 @@ for q in (
                   ST_Translate(the_geom, -0.1, 0.1) offset_geom,
                   geom_refs AS name
            FROM (SELECT * FROM {schema}OBS_GetBoundariesByGeometry(
-                 st_makeenvelope(-74.05437469482422,40.66319159533881,
+                 st_makeenvelope(-74.1, 40.5,
-                                 -73.81885528564453,40.745696344339564, 4326),
+                                 -73.8, 40.9, 4326),
                  'us.census.tiger.census_tract_clipped')) foo
            ORDER BY ST_NPoints(the_geom) ASC
-           LIMIT 500''',
+           LIMIT 1000''',
         'DROP TABLE IF EXISTS obs_perftest_complex',
         '''CREATE TABLE obs_perftest_complex (cartodb_id SERIAL PRIMARY KEY,
            point GEOMETRY,
@@ -45,25 +45,57 @@ for q in (
                  'us.census.tiger.county_clipped')) foo
            ORDER BY ST_NPoints(the_geom) DESC
            LIMIT 50;''',
+        'DROP TABLE IF EXISTS obs_perftest_country_simple',
+        '''CREATE TABLE obs_perftest_country_simple (cartodb_id SERIAL PRIMARY KEY,
+           geom GEOMETRY,
+           name TEXT) ''',
+        '''INSERT INTO obs_perftest_country_simple (geom, name)
+           SELECT the_geom geom,
+                  geom_refs AS name
+           FROM (SELECT * FROM {schema}OBS_GetBoundariesByGeometry(
+                 st_makeenvelope(-179,-89, 179,89, 4326),
+                 'whosonfirst.wof_country_geom')) foo
+           ORDER BY ST_NPoints(the_geom) ASC
+           LIMIT 50;''',
+        'DROP TABLE IF EXISTS obs_perftest_country_complex',
+        '''CREATE TABLE obs_perftest_country_complex (cartodb_id SERIAL PRIMARY KEY,
+           geom GEOMETRY,
+           name TEXT) ''',
+        '''INSERT INTO obs_perftest_country_complex (geom, name)
+           SELECT the_geom geom,
+                  geom_refs AS name
+           FROM (SELECT * FROM {schema}OBS_GetBoundariesByGeometry(
+                 st_makeenvelope(-179,-89, 179,89, 4326),
+                 'whosonfirst.wof_country_geom')) foo
+           ORDER BY ST_NPoints(the_geom) DESC
+           LIMIT 50;''',
         #'''SET statement_timeout = 5000;'''
 ):
-    query(q.format(
+    q_formatted = q.format(
         schema='cdb_observatory.' if USE_SCHEMA else '',
-    ))
+    )
+    resp = query(q_formatted)
+    if q.lower().startswith('insert'):
+        if resp.rowcount == 0:
+            raise Exception('''Performance fixture creation "{}" inserted 0 rows,
+                            this will break tests.  Check the query to determine
+                            what is going wrong.'''.format(q_formatted))
     commit()
 
 
 ARGS = {
     ('OBS_GetMeasureByID', None): "name, 'us.census.acs.B01001002', '{}'",
-    ('OBS_GetMeasure', 'predenominated'): "{}, 'us.census.acs.B01003001'",
+    ('OBS_GetMeasure', 'predenominated'): "{}, 'us.census.acs.B01003001', null, {}",
-    ('OBS_GetMeasure', 'area'): "{}, 'us.census.acs.B01001002', 'area'",
+    ('OBS_GetMeasure', 'area'): "{}, 'us.census.acs.B01001002', 'area', {}",
-    ('OBS_GetMeasure', 'denominator'): "{}, 'us.census.acs.B01001002', 'denominator'",
+    ('OBS_GetMeasure', 'denominator'): "{}, 'us.census.acs.B01001002', 'denominator', {}",
-    ('OBS_GetCategory', None): "{}, 'us.census.spielman_singleton_segments.X10'",
+    ('OBS_GetCategory', None): "{}, 'us.census.spielman_singleton_segments.X10', {}",
+    ('_OBS_GetGeometryScores', None): "{}, NULL"
 }
 
 
 def record(params, results):
     sha = os.environ['OBS_EXTENSION_SHA']
+    msg = os.environ.get('OBS_EXTENSION_MSG')
     fpath = os.path.join(os.environ['OBS_PERFTEST_DIR'], sha + '.json')
     if os.path.isfile(fpath):
         tests = json.load(open(fpath, 'r'))
@@ -76,53 +108,129 @@ def record(params, results):
         }
         json.dump(tests, fhandle)
 
+@parameterized([
+    ('simple', '_OBS_GetGeometryScores', 'NULL', 1),
+    ('simple', '_OBS_GetGeometryScores', 'NULL', 500),
+    ('simple', '_OBS_GetGeometryScores', 'NULL', 3000),
+
+    ('complex', '_OBS_GetGeometryScores', 'NULL', 1),
+    ('complex', '_OBS_GetGeometryScores', 'NULL', 500),
+    ('complex', '_OBS_GetGeometryScores', 'NULL', 3000),
+
+    ('country_simple', '_OBS_GetGeometryScores', 'NULL', 1),
+    ('country_simple', '_OBS_GetGeometryScores', 'NULL', 500),
+    ('country_simple', '_OBS_GetGeometryScores', 'NULL', 5000),
+
+    ('country_complex', '_OBS_GetGeometryScores', 'NULL', 1),
+    ('country_complex', '_OBS_GetGeometryScores', 'NULL', 500),
+    ('country_complex', '_OBS_GetGeometryScores', 'NULL', 5000),
+])
+def test_getgeometryscores_performance(geom_complexity, api_method, filters, target_geoms):
+    print api_method, geom_complexity, filters, target_geoms
+
+    rownums = (1, 5, 10, ) if 'complex' in geom_complexity else (5, 25, 50,)
+    results = []
+    for rows in rownums:
+        stmt = '''SELECT {schema}{api_method}(geom, {filters}, {target_geoms})
+                   FROM obs_perftest_{complexity}
+                   WHERE cartodb_id <= {n}'''.format(
+                       complexity=geom_complexity,
+                       schema='cdb_observatory.' if USE_SCHEMA else '',
+                       api_method=api_method,
+                       filters=filters,
+                       target_geoms=target_geoms,
+                       n=rows)
+        start = time()
+        query(stmt)
+        end = time()
+        qps = (rows / (end - start))
+        results.append({
+            'rows': rows,
+            'qps': qps,
+            'stmt': stmt
+        })
+        print rows, ': ', qps, ' QPS'
+
+    if 'OBS_RECORD_TEST' in os.environ:
+        record({
+            'geom_complexity': geom_complexity,
+            'api_method': api_method,
+            'filters': filters,
+            'target_geoms': target_geoms
+        }, results)
 
 @parameterized([
-    ('simple', 'OBS_GetMeasureByID', None, 'us.census.tiger.census_tract'),
+    ('simple', 'OBS_GetMeasureByID', None, 'us.census.tiger.census_tract', None),
-    ('complex', 'OBS_GetMeasureByID', None, 'us.census.tiger.county'),
+    ('complex', 'OBS_GetMeasureByID', None, 'us.census.tiger.county', None),
 
-    ('simple', 'OBS_GetMeasure', 'predenominated', 'point'),
+    ('simple', 'OBS_GetMeasure', 'predenominated', 'point', 'NULL'),
-    ('simple', 'OBS_GetMeasure', 'predenominated', 'geom'),
+    ('simple', 'OBS_GetMeasure', 'predenominated', 'geom', 'NULL'),
-    ('simple', 'OBS_GetMeasure', 'predenominated', 'offset_geom'),
+    ('simple', 'OBS_GetMeasure', 'predenominated', 'offset_geom', 'NULL'),
-    ('simple', 'OBS_GetMeasure', 'area', 'point'),
+    ('simple', 'OBS_GetMeasure', 'area', 'point', 'NULL'),
-    ('simple', 'OBS_GetMeasure', 'area', 'geom'),
+    ('simple', 'OBS_GetMeasure', 'area', 'geom', 'NULL'),
-    ('simple', 'OBS_GetMeasure', 'area', 'offset_geom'),
+    ('simple', 'OBS_GetMeasure', 'area', 'offset_geom', 'NULL'),
-    ('simple', 'OBS_GetMeasure', 'denominator', 'point'),
+    ('simple', 'OBS_GetMeasure', 'denominator', 'point', 'NULL'),
-    ('simple', 'OBS_GetMeasure', 'denominator', 'geom'),
+    ('simple', 'OBS_GetMeasure', 'denominator', 'geom', 'NULL'),
-    ('simple', 'OBS_GetMeasure', 'denominator', 'offset_geom'),
+    ('simple', 'OBS_GetMeasure', 'denominator', 'offset_geom', 'NULL'),
-    ('simple', 'OBS_GetCategory', None, 'point'),
+    ('simple', 'OBS_GetCategory', None, 'point', 'NULL'),
-    ('simple', 'OBS_GetCategory', None, 'geom'),
+    ('simple', 'OBS_GetCategory', None, 'geom', 'NULL'),
-    ('simple', 'OBS_GetCategory', None, 'offset_geom'),
+    ('simple', 'OBS_GetCategory', None, 'offset_geom', 'NULL'),
 
-    ('complex', 'OBS_GetMeasure', 'predenominated', 'point'),
+    ('simple', 'OBS_GetMeasure', 'predenominated', 'point', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetMeasure', 'predenominated', 'geom'),
+    ('simple', 'OBS_GetMeasure', 'predenominated', 'geom', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetMeasure', 'predenominated', 'offset_geom'),
+    ('simple', 'OBS_GetMeasure', 'predenominated', 'offset_geom', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetMeasure', 'area', 'point'),
+    ('simple', 'OBS_GetMeasure', 'area', 'point', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetMeasure', 'area', 'geom'),
+    ('simple', 'OBS_GetMeasure', 'area', 'geom', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetMeasure', 'area', 'offset_geom'),
+    ('simple', 'OBS_GetMeasure', 'area', 'offset_geom', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetMeasure', 'denominator', 'point'),
+    ('simple', 'OBS_GetMeasure', 'denominator', 'point', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetMeasure', 'denominator', 'geom'),
+    ('simple', 'OBS_GetMeasure', 'denominator', 'geom', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetMeasure', 'denominator', 'offset_geom'),
+    ('simple', 'OBS_GetMeasure', 'denominator', 'offset_geom', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetCategory', None, 'point'),
+    ('simple', 'OBS_GetCategory', None, 'point', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetCategory', None, 'geom'),
+    ('simple', 'OBS_GetCategory', None, 'geom', "'us.census.tiger.census_tract'"),
-    ('complex', 'OBS_GetCategory', None, 'offset_geom'),
+    ('simple', 'OBS_GetCategory', None, 'offset_geom', "'us.census.tiger.census_tract'"),
+
+    ('complex', 'OBS_GetMeasure', 'predenominated', 'point', 'NULL'),
+    ('complex', 'OBS_GetMeasure', 'predenominated', 'geom', 'NULL'),
+    ('complex', 'OBS_GetMeasure', 'predenominated', 'offset_geom', 'NULL'),
+    ('complex', 'OBS_GetMeasure', 'area', 'point', 'NULL'),
+    ('complex', 'OBS_GetMeasure', 'area', 'geom', 'NULL'),
+    ('complex', 'OBS_GetMeasure', 'area', 'offset_geom', 'NULL'),
+    ('complex', 'OBS_GetMeasure', 'denominator', 'point', 'NULL'),
+    ('complex', 'OBS_GetMeasure', 'denominator', 'geom', 'NULL'),
+    ('complex', 'OBS_GetMeasure', 'denominator', 'offset_geom', 'NULL'),
+    ('complex', 'OBS_GetCategory', None, 'point', 'NULL'),
+    ('complex', 'OBS_GetCategory', None, 'geom', 'NULL'),
+    ('complex', 'OBS_GetCategory', None, 'offset_geom', 'NULL'),
+
+    ('complex', 'OBS_GetMeasure', 'predenominated', 'point', "'us.census.tiger.county'"),
+    ('complex', 'OBS_GetMeasure', 'predenominated', 'geom', "'us.census.tiger.county'"),
+    ('complex', 'OBS_GetMeasure', 'predenominated', 'offset_geom', "'us.census.tiger.county'"),
+    ('complex', 'OBS_GetMeasure', 'area', 'point', "'us.census.tiger.county'"),
+    ('complex', 'OBS_GetMeasure', 'area', 'geom', "'us.census.tiger.county'"),
+    ('complex', 'OBS_GetMeasure', 'area', 'offset_geom', "'us.census.tiger.county'"),
+    ('complex', 'OBS_GetMeasure', 'denominator', 'point', "'us.census.tiger.county'"),
+    ('complex', 'OBS_GetMeasure', 'denominator', 'geom', "'us.census.tiger.county'"),
+    ('complex', 'OBS_GetMeasure', 'denominator', 'offset_geom', "'us.census.tiger.county'"),
+    ('complex', 'OBS_GetCategory', None, 'point', "'us.census.tiger.census_tract'"),
+    ('complex', 'OBS_GetCategory', None, 'geom', "'us.census.tiger.census_tract'"),
+    ('complex', 'OBS_GetCategory', None, 'offset_geom', "'us.census.tiger.census_tract'"),
 ])
-def test_performance(geom_complexity, api_method, normalization, geom):
+def test_getmeasure_performance(geom_complexity, api_method, normalization, geom, boundary):
-    print api_method, geom_complexity, normalization, geom
+    print api_method, geom_complexity, normalization, geom, boundary
     col = 'measure' if 'measure' in api_method.lower() else 'category'
     results = []
 
-    rownums = (1, 5, 10, ) if geom_complexity == 'complex' else (5, 25, 50 )
+    rownums = (1, 5, 10, ) if geom_complexity == 'complex' else (5, 25, 50, )
     for rows in rownums:
         stmt = '''UPDATE obs_perftest_{complexity}
                    SET {col} = {schema}{api_method}({args})
-                   WHERE cartodb_id < {n}'''.format(
+                   WHERE cartodb_id <= {n}'''.format(
                        col=col,
                        complexity=geom_complexity,
                        schema='cdb_observatory.' if USE_SCHEMA else '',
                        api_method=api_method,
-                       args=ARGS[api_method, normalization].format(geom),
+                       args=ARGS[api_method, normalization].format(geom, boundary),
-                       n=rows+1)
+                       n=rows)
         start = time()
         query(stmt)
         end = time()
@@ -139,5 +247,104 @@ def test_performance(geom_complexity, api_method, normalization, geom):
             'geom_complexity': geom_complexity,
             'api_method': api_method,
             'normalization': normalization,
+            'boundary': boundary,
+            'geom': geom
+        }, results)
+
+
+@parameterized([
+    ('simple', 'predenominated', 'point', 'null'),
+    ('simple', 'predenominated', 'geom', 'null'),
+    ('simple', 'predenominated', 'offset_geom', 'null'),
+    ('simple', 'area', 'point', 'null'),
+    ('simple', 'area', 'geom', 'null'),
+    ('simple', 'area', 'offset_geom', 'null'),
+    ('simple', 'denominator', 'point', 'null'),
+    ('simple', 'denominator', 'geom', 'null'),
+    ('simple', 'denominator', 'offset_geom', 'null'),
+
+    ('simple', 'predenominated', 'point', "'us.census.tiger.census_tract'"),
+    ('simple', 'predenominated', 'geom', "'us.census.tiger.census_tract'"),
+    ('simple', 'predenominated', 'offset_geom', "'us.census.tiger.census_tract'"),
+    ('simple', 'area', 'point', "'us.census.tiger.census_tract'"),
+    ('simple', 'area', 'geom', "'us.census.tiger.census_tract'"),
+    ('simple', 'area', 'offset_geom', "'us.census.tiger.census_tract'"),
+    ('simple', 'denominator', 'point', "'us.census.tiger.census_tract'"),
+    ('simple', 'denominator', 'geom', "'us.census.tiger.census_tract'"),
+    ('simple', 'denominator', 'offset_geom', "'us.census.tiger.census_tract'"),
+
+    ('complex', 'predenominated', 'point', 'null'),
+    ('complex', 'predenominated', 'geom', 'null'),
+    ('complex', 'predenominated', 'offset_geom', 'null'),
+    ('complex', 'area', 'point', 'null'),
+    ('complex', 'area', 'geom', 'null'),
+    ('complex', 'area', 'offset_geom', 'null'),
+    ('complex', 'denominator', 'point', 'null'),
+    ('complex', 'denominator', 'geom', 'null'),
+    ('complex', 'denominator', 'offset_geom', 'null'),
+
+    ('complex', 'predenominated', 'point', "'us.census.tiger.county'"),
+    ('complex', 'predenominated', 'geom', "'us.census.tiger.county'"),
+    ('complex', 'predenominated', 'offset_geom', "'us.census.tiger.county'"),
+    ('complex', 'area', 'point', "'us.census.tiger.county'"),
+    ('complex', 'area', 'geom', "'us.census.tiger.county'"),
+    ('complex', 'area', 'offset_geom', "'us.census.tiger.county'"),
+    ('complex', 'denominator', 'point', "'us.census.tiger.county'"),
+    ('complex', 'denominator', 'geom', "'us.census.tiger.county'"),
+    ('complex', 'denominator', 'offset_geom', "'us.census.tiger.county'"),
+])
+def test_getmeasure_split_performance(geom_complexity, normalization, geom, boundary):
+    print geom_complexity, normalization, geom, boundary
+    results = []
+
+    rownums = (1, 5, 10, ) if geom_complexity == 'complex' else (10, 50, 100)
+    for rows in rownums:
+        stmt = '''
+with data as (
+  SELECT id, data FROM {schema}OBS_GetData(
+    (SELECT array_agg(({geom}, cartodb_id)::geomval)
+     FROM obs_perftest_{complexity}
+     WHERE cartodb_id <= {n}),
+    (SELECT {schema}OBS_GetMeta(
+      (SELECT st_setsrid(st_extent({geom}), 4326)
+       FROM obs_perftest_{complexity}
+       WHERE cartodb_id <= {n}),
+      '[{{
+          "numer_id": "us.census.acs.B01001002",
+          "normalization": "{normalization}",
+          "geom_id": {boundary}
+        }}]'::JSON
+    ))
+  ))
+UPDATE obs_perftest_{complexity}
+SET measure = (data->0->>'value')::Numeric
+FROM data
+WHERE obs_perftest_{complexity}.cartodb_id = data.id
+;
+        '''.format(
+            point_or_poly='point' if geom == 'point' else 'polygon',
+            complexity=geom_complexity,
+            schema='cdb_observatory.' if USE_SCHEMA else '',
+            normalization=normalization,
+            geom=geom,
+            boundary=boundary.replace("'", '"'),
+            n=rows)
+        start = time()
+        query(stmt)
+        end = time()
+        qps = (rows / (end - start))
+        results.append({
+            'rows': rows,
+            'qps': qps,
+            'stmt': stmt
+        })
+        print rows, ': ', qps, ' QPS'
+
+    if 'OBS_RECORD_TEST' in os.environ:
+        record({
+            'geom_complexity': geom_complexity,
+            'api_method': 'OBS_GetData',
+            'normalization': normalization,
+            'boundary': boundary,
             'geom': geom
         }, results)