]> git.openstreetmap.org Git - nominatim.git/blobdiff - nominatim/api/search/db_searches.py
Added missing return types to functions
[nominatim.git] / nominatim / api / search / db_searches.py
index fc3f9e0945e7d6ef39d66fc1871bc5d708d1b544..232f816ef89609f050ea15e79f3651410222ef86 100644 (file)
@@ -7,14 +7,14 @@
 """
 Implementation of the acutal database accesses for forward search.
 """
 """
 Implementation of the acutal database accesses for forward search.
 """
-from typing import List, Tuple, AsyncIterator, Dict, Any
+from typing import List, Tuple, AsyncIterator, Dict, Any, Callable
 import abc
 
 import sqlalchemy as sa
 from sqlalchemy.dialects.postgresql import ARRAY, array_agg
 
 from nominatim.typing import SaFromClause, SaScalarSelect, SaColumn, \
 import abc
 
 import sqlalchemy as sa
 from sqlalchemy.dialects.postgresql import ARRAY, array_agg
 
 from nominatim.typing import SaFromClause, SaScalarSelect, SaColumn, \
-                             SaExpression, SaSelect, SaRow
+                             SaExpression, SaSelect, SaLambdaSelect, SaRow, SaBind
 from nominatim.api.connection import SearchConnection
 from nominatim.api.types import SearchDetails, DataLayer, GeometryFormat, Bbox
 import nominatim.api.results as nres
 from nominatim.api.connection import SearchConnection
 from nominatim.api.types import SearchDetails, DataLayer, GeometryFormat, Bbox
 import nominatim.api.results as nres
@@ -24,6 +24,13 @@ from nominatim.db.sqlalchemy_types import Geometry
 #pylint: disable=singleton-comparison,not-callable
 #pylint: disable=too-many-branches,too-many-arguments,too-many-locals,too-many-statements
 
 #pylint: disable=singleton-comparison,not-callable
 #pylint: disable=too-many-branches,too-many-arguments,too-many-locals,too-many-statements
 
+def no_index(expr: SaColumn) -> SaColumn:
+    """ Wrap the given expression, so that the query planner will
+        refrain from using the expression for index lookup.
+    """
+    return sa.func.coalesce(sa.null(), expr) # pylint: disable=not-callable
+
+
 def _details_to_bind_params(details: SearchDetails) -> Dict[str, Any]:
     """ Create a dictionary from search parameters that can be used
         as bind parameter for SQL execute.
 def _details_to_bind_params(details: SearchDetails) -> Dict[str, Any]:
     """ Create a dictionary from search parameters that can be used
         as bind parameter for SQL execute.
@@ -39,44 +46,47 @@ def _details_to_bind_params(details: SearchDetails) -> Dict[str, Any]:
             'countries': details.countries}
 
 
             'countries': details.countries}
 
 
-LIMIT_PARAM = sa.bindparam('limit')
-MIN_RANK_PARAM = sa.bindparam('min_rank')
-MAX_RANK_PARAM = sa.bindparam('max_rank')
-VIEWBOX_PARAM = sa.bindparam('viewbox', type_=Geometry)
-VIEWBOX2_PARAM = sa.bindparam('viewbox2', type_=Geometry)
-NEAR_PARAM = sa.bindparam('near', type_=Geometry)
-NEAR_RADIUS_PARAM = sa.bindparam('near_radius')
-EXCLUDED_PARAM = sa.bindparam('excluded')
-COUNTRIES_PARAM = sa.bindparam('countries')
+LIMIT_PARAM: SaBind = sa.bindparam('limit')
+MIN_RANK_PARAM: SaBind = sa.bindparam('min_rank')
+MAX_RANK_PARAM: SaBind = sa.bindparam('max_rank')
+VIEWBOX_PARAM: SaBind = sa.bindparam('viewbox', type_=Geometry)
+VIEWBOX2_PARAM: SaBind = sa.bindparam('viewbox2', type_=Geometry)
+NEAR_PARAM: SaBind = sa.bindparam('near', type_=Geometry)
+NEAR_RADIUS_PARAM: SaBind = sa.bindparam('near_radius')
+COUNTRIES_PARAM: SaBind = sa.bindparam('countries')
+
+def _within_near(t: SaFromClause) -> Callable[[], SaExpression]:
+    return lambda: t.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)
+
+def _exclude_places(t: SaFromClause) -> Callable[[], SaExpression]:
+    return lambda: t.c.place_id.not_in(sa.bindparam('excluded'))
 
 def _select_placex(t: SaFromClause) -> SaSelect:
     return sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
                      t.c.class_, t.c.type,
                      t.c.address, t.c.extratags,
                      t.c.housenumber, t.c.postcode, t.c.country_code,
 
 def _select_placex(t: SaFromClause) -> SaSelect:
     return sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
                      t.c.class_, t.c.type,
                      t.c.address, t.c.extratags,
                      t.c.housenumber, t.c.postcode, t.c.country_code,
-                     t.c.importance, t.c.wikipedia,
+                     t.c.wikipedia,
                      t.c.parent_place_id, t.c.rank_address, t.c.rank_search,
                      t.c.parent_place_id, t.c.rank_address, t.c.rank_search,
+                     t.c.linked_place_id, t.c.admin_level,
                      t.c.centroid,
                      t.c.geometry.ST_Expand(0).label('bbox'))
 
 
                      t.c.centroid,
                      t.c.geometry.ST_Expand(0).label('bbox'))
 
 
-def _add_geometry_columns(sql: SaSelect, col: SaColumn, details: SearchDetails) -> SaSelect:
-    if not details.geometry_output:
-        return sql
-
+def _add_geometry_columns(sql: SaLambdaSelect, col: SaColumn, details: SearchDetails) -> SaSelect:
     out = []
 
     if details.geometry_simplification > 0.0:
         col = sa.func.ST_SimplifyPreserveTopology(col, details.geometry_simplification)
 
     if details.geometry_output & GeometryFormat.GEOJSON:
     out = []
 
     if details.geometry_simplification > 0.0:
         col = sa.func.ST_SimplifyPreserveTopology(col, details.geometry_simplification)
 
     if details.geometry_output & GeometryFormat.GEOJSON:
-        out.append(sa.func.ST_AsGeoJSON(col).label('geometry_geojson'))
+        out.append(sa.func.ST_AsGeoJSON(col, 7).label('geometry_geojson'))
     if details.geometry_output & GeometryFormat.TEXT:
         out.append(sa.func.ST_AsText(col).label('geometry_text'))
     if details.geometry_output & GeometryFormat.KML:
     if details.geometry_output & GeometryFormat.TEXT:
         out.append(sa.func.ST_AsText(col).label('geometry_text'))
     if details.geometry_output & GeometryFormat.KML:
-        out.append(sa.func.ST_AsKML(col).label('geometry_kml'))
+        out.append(sa.func.ST_AsKML(col, 7).label('geometry_kml'))
     if details.geometry_output & GeometryFormat.SVG:
     if details.geometry_output & GeometryFormat.SVG:
-        out.append(sa.func.ST_AsSVG(col).label('geometry_svg'))
+        out.append(sa.func.ST_AsSVG(col, 0, 7).label('geometry_svg'))
 
     return sql.add_columns(*out)
 
 
     return sql.add_columns(*out)
 
@@ -96,7 +106,7 @@ def _make_interpolation_subquery(table: SaFromClause, inner: SaFromClause,
                   for n in numerals)))
 
     if details.excluded:
                   for n in numerals)))
 
     if details.excluded:
-        sql = sql.where(table.c.place_id.not_in(EXCLUDED_PARAM))
+        sql = sql.where(_exclude_places(table))
 
     return sql.scalar_subquery()
 
 
     return sql.scalar_subquery()
 
@@ -104,14 +114,14 @@ def _make_interpolation_subquery(table: SaFromClause, inner: SaFromClause,
 def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn:
     orexpr: List[SaExpression] = []
     if layers & DataLayer.ADDRESS and layers & DataLayer.POI:
 def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn:
     orexpr: List[SaExpression] = []
     if layers & DataLayer.ADDRESS and layers & DataLayer.POI:
-        orexpr.append(table.c.rank_address.between(1, 30))
+        orexpr.append(no_index(table.c.rank_address).between(1, 30))
     elif layers & DataLayer.ADDRESS:
     elif layers & DataLayer.ADDRESS:
-        orexpr.append(table.c.rank_address.between(1, 29))
-        orexpr.append(sa.and_(table.c.rank_address == 30,
+        orexpr.append(no_index(table.c.rank_address).between(1, 29))
+        orexpr.append(sa.and_(no_index(table.c.rank_address) == 30,
                               sa.or_(table.c.housenumber != None,
                               sa.or_(table.c.housenumber != None,
-                                     table.c.address.has_key('housename'))))
+                                     table.c.address.has_key('addr:housename'))))
     elif layers & DataLayer.POI:
     elif layers & DataLayer.POI:
-        orexpr.append(sa.and_(table.c.rank_address == 30,
+        orexpr.append(sa.and_(no_index(table.c.rank_address) == 30,
                               table.c.class_.not_in(('place', 'building'))))
 
     if layers & DataLayer.MANMADE:
                               table.c.class_.not_in(('place', 'building'))))
 
     if layers & DataLayer.MANMADE:
@@ -121,7 +131,7 @@ def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn:
         if not layers & DataLayer.NATURAL:
             exclude.extend(('natural', 'water', 'waterway'))
         orexpr.append(sa.and_(table.c.class_.not_in(tuple(exclude)),
         if not layers & DataLayer.NATURAL:
             exclude.extend(('natural', 'water', 'waterway'))
         orexpr.append(sa.and_(table.c.class_.not_in(tuple(exclude)),
-                              table.c.rank_address == 0))
+                              no_index(table.c.rank_address) == 0))
     else:
         include = []
         if layers & DataLayer.RAILWAY:
     else:
         include = []
         if layers & DataLayer.RAILWAY:
@@ -129,7 +139,7 @@ def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn:
         if layers & DataLayer.NATURAL:
             include.extend(('natural', 'water', 'waterway'))
         orexpr.append(sa.and_(table.c.class_.in_(tuple(include)),
         if layers & DataLayer.NATURAL:
             include.extend(('natural', 'water', 'waterway'))
         orexpr.append(sa.and_(table.c.class_.in_(tuple(include)),
-                              table.c.rank_address == 0))
+                              no_index(table.c.rank_address) == 0))
 
     if len(orexpr) == 1:
         return orexpr[0]
 
     if len(orexpr) == 1:
         return orexpr[0]
@@ -148,9 +158,11 @@ async def _get_placex_housenumbers(conn: SearchConnection,
                                    place_ids: List[int],
                                    details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
     t = conn.t.placex
                                    place_ids: List[int],
                                    details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
     t = conn.t.placex
-    sql = _select_placex(t).where(t.c.place_id.in_(place_ids))
+    sql = _select_placex(t).add_columns(t.c.importance)\
+                           .where(t.c.place_id.in_(place_ids))
 
 
-    sql = _add_geometry_columns(sql, t.c.geometry, details)
+    if details.geometry_output:
+        sql = _add_geometry_columns(sql, t.c.geometry, details)
 
     for row in await conn.execute(sql):
         result = nres.create_from_placex_row(row, nres.SearchResult)
 
     for row in await conn.execute(sql):
         result = nres.create_from_placex_row(row, nres.SearchResult)
@@ -244,9 +256,20 @@ class NearSearch(AbstractSearch):
 
         base.sort(key=lambda r: (r.accuracy, r.rank_search))
         max_accuracy = base[0].accuracy + 0.5
 
         base.sort(key=lambda r: (r.accuracy, r.rank_search))
         max_accuracy = base[0].accuracy + 0.5
+        if base[0].rank_address == 0:
+            min_rank = 0
+            max_rank = 0
+        elif base[0].rank_address < 26:
+            min_rank = 1
+            max_rank = min(25, base[0].rank_address + 4)
+        else:
+            min_rank = 26
+            max_rank = 30
         base = nres.SearchResults(r for r in base if r.source_table == nres.SourceTable.PLACEX
                                                      and r.accuracy <= max_accuracy
         base = nres.SearchResults(r for r in base if r.source_table == nres.SourceTable.PLACEX
                                                      and r.accuracy <= max_accuracy
-                                                     and r.bbox and r.bbox.area < 20)
+                                                     and r.bbox and r.bbox.area < 20
+                                                     and r.rank_address >= min_rank
+                                                     and r.rank_address <= max_rank)
 
         if base:
             baseids = [b.place_id for b in base[:5] if b.place_id]
 
         if base:
             baseids = [b.place_id for b in base[:5] if b.place_id]
@@ -268,33 +291,43 @@ class NearSearch(AbstractSearch):
         """
         table = await conn.get_class_table(*category)
 
         """
         table = await conn.get_class_table(*category)
 
-        t = conn.t.placex.alias('p')
         tgeom = conn.t.placex.alias('pgeom')
 
         tgeom = conn.t.placex.alias('pgeom')
 
-        sql = _select_placex(t).where(tgeom.c.place_id.in_(ids))\
-                               .where(t.c.class_ == category[0])\
-                               .where(t.c.type == category[1])
-
         if table is None:
             # No classtype table available, do a simplified lookup in placex.
         if table is None:
             # No classtype table available, do a simplified lookup in placex.
-            sql = sql.join(tgeom, t.c.geometry.ST_DWithin(tgeom.c.centroid, 0.01))\
-                     .order_by(tgeom.c.centroid.ST_Distance(t.c.centroid))
+            table = conn.t.placex.alias('inner')
+            sql = sa.select(table.c.place_id,
+                            sa.func.min(tgeom.c.centroid.ST_Distance(table.c.centroid))
+                              .label('dist'))\
+                    .join(tgeom, table.c.geometry.intersects(tgeom.c.centroid.ST_Expand(0.01)))\
+                    .where(table.c.class_ == category[0])\
+                    .where(table.c.type == category[1])
         else:
             # Use classtype table. We can afford to use a larger
             # radius for the lookup.
         else:
             # Use classtype table. We can afford to use a larger
             # radius for the lookup.
-            sql = sql.join(table, t.c.place_id == table.c.place_id)\
-                     .join(tgeom,
-                           sa.case((sa.and_(tgeom.c.rank_address < 9,
-                                            tgeom.c.geometry.is_area()),
-                                    tgeom.c.geometry.ST_Contains(table.c.centroid)),
-                                   else_ = tgeom.c.centroid.ST_DWithin(table.c.centroid, 0.05)))\
-                     .order_by(tgeom.c.centroid.ST_Distance(table.c.centroid))
-
-        sql = sql.where(t.c.rank_address.between(MIN_RANK_PARAM, MAX_RANK_PARAM))
+            sql = sa.select(table.c.place_id,
+                            sa.func.min(tgeom.c.centroid.ST_Distance(table.c.centroid))
+                              .label('dist'))\
+                    .join(tgeom,
+                          table.c.centroid.ST_CoveredBy(
+                              sa.case((sa.and_(tgeom.c.rank_address > 9,
+                                                tgeom.c.geometry.is_area()),
+                                       tgeom.c.geometry),
+                                      else_ = tgeom.c.centroid.ST_Expand(0.05))))
+
+        inner = sql.where(tgeom.c.place_id.in_(ids))\
+                   .group_by(table.c.place_id).subquery()
+
+        t = conn.t.placex
+        sql = _select_placex(t).add_columns((-inner.c.dist).label('importance'))\
+                               .join(inner, inner.c.place_id == t.c.place_id)\
+                               .order_by(inner.c.dist)
+
+        sql = sql.where(no_index(t.c.rank_address).between(MIN_RANK_PARAM, MAX_RANK_PARAM))
         if details.countries:
             sql = sql.where(t.c.country_code.in_(COUNTRIES_PARAM))
         if details.excluded:
         if details.countries:
             sql = sql.where(t.c.country_code.in_(COUNTRIES_PARAM))
         if details.excluded:
-            sql = sql.where(t.c.place_id.not_in(EXCLUDED_PARAM))
+            sql = sql.where(_exclude_places(t))
         if details.layers is not None:
             sql = sql.where(_filter_by_layer(t, details.layers))
 
         if details.layers is not None:
             sql = sql.where(_filter_by_layer(t, details.layers))
 
@@ -313,7 +346,7 @@ class PoiSearch(AbstractSearch):
     """
     def __init__(self, sdata: SearchData) -> None:
         super().__init__(sdata.penalty)
     """
     def __init__(self, sdata: SearchData) -> None:
         super().__init__(sdata.penalty)
-        self.categories = sdata.qualifiers
+        self.qualifiers = sdata.qualifiers
         self.countries = sdata.countries
 
 
         self.countries = sdata.countries
 
 
@@ -328,10 +361,24 @@ class PoiSearch(AbstractSearch):
 
         if details.near and details.near_radius is not None and details.near_radius < 0.2:
             # simply search in placex table
 
         if details.near and details.near_radius is not None and details.near_radius < 0.2:
             # simply search in placex table
-            sql = _select_placex(t) \
-                      .where(t.c.linked_place_id == None) \
-                      .where(t.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)) \
-                      .order_by(t.c.centroid.ST_Distance(NEAR_PARAM))
+            def _base_query() -> SaSelect:
+                return _select_placex(t) \
+                           .add_columns((-t.c.centroid.ST_Distance(NEAR_PARAM))
+                                         .label('importance'))\
+                           .where(t.c.linked_place_id == None) \
+                           .where(t.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)) \
+                           .order_by(t.c.centroid.ST_Distance(NEAR_PARAM)) \
+                           .limit(LIMIT_PARAM)
+
+            classtype = self.qualifiers.values
+            if len(classtype) == 1:
+                cclass, ctype = classtype[0]
+                sql: SaLambdaSelect = sa.lambda_stmt(lambda: _base_query()
+                                                 .where(t.c.class_ == cclass)
+                                                 .where(t.c.type == ctype))
+            else:
+                sql = _base_query().where(sa.or_(*(sa.and_(t.c.class_ == cls, t.c.type == typ)
+                                                   for cls, typ in classtype)))
 
             if self.countries:
                 sql = sql.where(t.c.country_code.in_(self.countries.values))
 
             if self.countries:
                 sql = sql.where(t.c.country_code.in_(self.countries.values))
@@ -339,22 +386,14 @@ class PoiSearch(AbstractSearch):
             if details.viewbox is not None and details.bounded_viewbox:
                 sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM))
 
             if details.viewbox is not None and details.bounded_viewbox:
                 sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM))
 
-            classtype = self.categories.values
-            if len(classtype) == 1:
-                sql = sql.where(t.c.class_ == classtype[0][0]) \
-                         .where(t.c.type == classtype[0][1])
-            else:
-                sql = sql.where(sa.or_(*(sa.and_(t.c.class_ == cls, t.c.type == typ)
-                                         for cls, typ in classtype)))
-
-            sql = sql.limit(LIMIT_PARAM)
             rows.extend(await conn.execute(sql, bind_params))
         else:
             # use the class type tables
             rows.extend(await conn.execute(sql, bind_params))
         else:
             # use the class type tables
-            for category in self.categories.values:
+            for category in self.qualifiers.values:
                 table = await conn.get_class_table(*category)
                 if table is not None:
                     sql = _select_placex(t)\
                 table = await conn.get_class_table(*category)
                 if table is not None:
                     sql = _select_placex(t)\
+                               .add_columns(t.c.importance)\
                                .join(table, t.c.place_id == table.c.place_id)\
                                .where(t.c.class_ == category[0])\
                                .where(t.c.type == category[1])
                                .join(table, t.c.place_id == table.c.place_id)\
                                .where(t.c.class_ == category[0])\
                                .where(t.c.type == category[1])
@@ -377,7 +416,7 @@ class PoiSearch(AbstractSearch):
         for row in rows:
             result = nres.create_from_placex_row(row, nres.SearchResult)
             assert result
         for row in rows:
             result = nres.create_from_placex_row(row, nres.SearchResult)
             assert result
-            result.accuracy = self.penalty + self.categories.get_penalty((row.class_, row.type))
+            result.accuracy = self.penalty + self.qualifiers.get_penalty((row.class_, row.type))
             result.bbox = Bbox.from_wkb(row.bbox)
             results.append(result)
 
             result.bbox = Bbox.from_wkb(row.bbox)
             results.append(result)
 
@@ -398,26 +437,30 @@ class CountrySearch(AbstractSearch):
         """
         t = conn.t.placex
 
         """
         t = conn.t.placex
 
+        ccodes = self.countries.values
         sql = _select_placex(t)\
         sql = _select_placex(t)\
-                .where(t.c.country_code.in_(self.countries.values))\
+                .add_columns(t.c.importance)\
+                .where(t.c.country_code.in_(ccodes))\
                 .where(t.c.rank_address == 4)
 
                 .where(t.c.rank_address == 4)
 
-        sql = _add_geometry_columns(sql, t.c.geometry, details)
+        if details.geometry_output:
+            sql = _add_geometry_columns(sql, t.c.geometry, details)
 
         if details.excluded:
 
         if details.excluded:
-            sql = sql.where(t.c.place_id.not_in(EXCLUDED_PARAM))
+            sql = sql.where(_exclude_places(t))
 
         if details.viewbox is not None and details.bounded_viewbox:
 
         if details.viewbox is not None and details.bounded_viewbox:
-            sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM))
+            sql = sql.where(lambda: t.c.geometry.intersects(VIEWBOX_PARAM))
 
         if details.near is not None and details.near_radius is not None:
 
         if details.near is not None and details.near_radius is not None:
-            sql = sql.where(t.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM))
+            sql = sql.where(_within_near(t))
 
         results = nres.SearchResults()
         for row in await conn.execute(sql, _details_to_bind_params(details)):
             result = nres.create_from_placex_row(row, nres.SearchResult)
             assert result
             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)
 
         results = nres.SearchResults()
         for row in await conn.execute(sql, _details_to_bind_params(details)):
             result = nres.create_from_placex_row(row, nres.SearchResult)
             assert result
             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)
+            result.bbox = Bbox.from_wkb(row.bbox)
             results.append(result)
 
         return results or await self.lookup_in_country_table(conn, details)
             results.append(result)
 
         return results or await self.lookup_in_country_table(conn, details)
@@ -438,14 +481,15 @@ class CountrySearch(AbstractSearch):
 
         sql = sa.select(tgrid.c.country_code,
                         tgrid.c.geometry.ST_Centroid().ST_Collect().ST_Centroid()
 
         sql = sa.select(tgrid.c.country_code,
                         tgrid.c.geometry.ST_Centroid().ST_Collect().ST_Centroid()
-                              .label('centroid'))\
+                              .label('centroid'),
+                        tgrid.c.geometry.ST_Collect().ST_Expand(0).label('bbox'))\
                 .where(tgrid.c.country_code.in_(self.countries.values))\
                 .group_by(tgrid.c.country_code)
 
         if details.viewbox is not None and details.bounded_viewbox:
             sql = sql.where(tgrid.c.geometry.intersects(VIEWBOX_PARAM))
         if details.near is not None and details.near_radius is not None:
                 .where(tgrid.c.country_code.in_(self.countries.values))\
                 .group_by(tgrid.c.country_code)
 
         if details.viewbox is not None and details.bounded_viewbox:
             sql = sql.where(tgrid.c.geometry.intersects(VIEWBOX_PARAM))
         if details.near is not None and details.near_radius is not None:
-            sql = sql.where(tgrid.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM))
+            sql = sql.where(_within_near(tgrid))
 
         sub = sql.subquery('grid')
 
 
         sub = sql.subquery('grid')
 
@@ -454,13 +498,17 @@ class CountrySearch(AbstractSearch):
                          + sa.func.coalesce(t.c.derived_name,
                                             sa.cast('', type_=conn.t.types.Composite))
                         ).label('name'),
                          + sa.func.coalesce(t.c.derived_name,
                                             sa.cast('', type_=conn.t.types.Composite))
                         ).label('name'),
-                        sub.c.centroid)\
+                        sub.c.centroid, sub.c.bbox)\
                 .join(sub, t.c.country_code == sub.c.country_code)
 
                 .join(sub, t.c.country_code == sub.c.country_code)
 
+        if details.geometry_output:
+            sql = _add_geometry_columns(sql, sub.c.centroid, details)
+
         results = nres.SearchResults()
         for row in await conn.execute(sql, _details_to_bind_params(details)):
             result = nres.create_from_country_row(row, nres.SearchResult)
             assert result
         results = nres.SearchResults()
         for row in await conn.execute(sql, _details_to_bind_params(details)):
             result = nres.create_from_country_row(row, nres.SearchResult)
             assert result
+            result.bbox = Bbox.from_wkb(row.bbox)
             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)
             results.append(result)
 
             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)
             results.append(result)
 
@@ -484,14 +532,16 @@ class PostcodeSearch(AbstractSearch):
         """ Find results for the search in the database.
         """
         t = conn.t.postcode
         """ Find results for the search in the database.
         """
         t = conn.t.postcode
+        pcs = self.postcodes.values
 
         sql = sa.select(t.c.place_id, t.c.parent_place_id,
                         t.c.rank_search, t.c.rank_address,
                         t.c.postcode, t.c.country_code,
                         t.c.geometry.label('centroid'))\
 
         sql = sa.select(t.c.place_id, t.c.parent_place_id,
                         t.c.rank_search, t.c.rank_address,
                         t.c.postcode, t.c.country_code,
                         t.c.geometry.label('centroid'))\
-                .where(t.c.postcode.in_(self.postcodes.values))
+                .where(t.c.postcode.in_(pcs))
 
 
-        sql = _add_geometry_columns(sql, t.c.geometry, details)
+        if details.geometry_output:
+            sql = _add_geometry_columns(sql, t.c.geometry, details)
 
         penalty: SaExpression = sa.literal(self.penalty)
 
 
         penalty: SaExpression = sa.literal(self.penalty)
 
@@ -500,19 +550,19 @@ class PostcodeSearch(AbstractSearch):
                 sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM))
             else:
                 penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0),
                 sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM))
             else:
                 penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0),
-                                   (t.c.geometry.intersects(VIEWBOX2_PARAM), 1.0),
-                                   else_=2.0)
+                                   (t.c.geometry.intersects(VIEWBOX2_PARAM), 0.5),
+                                   else_=1.0)
 
         if details.near is not None:
             if details.near_radius is not None:
 
         if details.near is not None:
             if details.near_radius is not None:
-                sql = sql.where(t.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM))
+                sql = sql.where(_within_near(t))
             sql = sql.order_by(t.c.geometry.ST_Distance(NEAR_PARAM))
 
         if self.countries:
             sql = sql.where(t.c.country_code.in_(self.countries.values))
 
         if details.excluded:
             sql = sql.order_by(t.c.geometry.ST_Distance(NEAR_PARAM))
 
         if self.countries:
             sql = sql.where(t.c.country_code.in_(self.countries.values))
 
         if details.excluded:
-            sql = sql.where(t.c.place_id.not_in(EXCLUDED_PARAM))
+            sql = sql.where(_exclude_places(t))
 
         if self.lookups:
             assert len(self.lookups) == 1
 
         if self.lookups:
             assert len(self.lookups) == 1
@@ -562,21 +612,15 @@ class PlaceSearch(AbstractSearch):
                      details: SearchDetails) -> nres.SearchResults:
         """ Find results for the search in the database.
         """
                      details: SearchDetails) -> nres.SearchResults:
         """ Find results for the search in the database.
         """
-        t = conn.t.placex.alias('p')
-        tsearch = conn.t.search_name.alias('s')
+        t = conn.t.placex
+        tsearch = conn.t.search_name
 
 
-        sql = sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
-                        t.c.class_, t.c.type,
-                        t.c.address, t.c.extratags,
-                        t.c.housenumber, t.c.postcode, t.c.country_code,
-                        t.c.wikipedia,
-                        t.c.parent_place_id, t.c.rank_address, t.c.rank_search,
-                        t.c.centroid,
-                        t.c.geometry.ST_Expand(0).label('bbox'))\
-                .where(t.c.place_id == tsearch.c.place_id)
+        sql: SaLambdaSelect = sa.lambda_stmt(lambda:
+                  _select_placex(t).where(t.c.place_id == tsearch.c.place_id))
 
 
 
 
-        sql = _add_geometry_columns(sql, t.c.geometry, details)
+        if details.geometry_output:
+            sql = _add_geometry_columns(sql, t.c.geometry, details)
 
         penalty: SaExpression = sa.literal(self.penalty)
         for ranking in self.rankings:
 
         penalty: SaExpression = sa.literal(self.penalty)
         for ranking in self.rankings:
@@ -592,48 +636,66 @@ class PlaceSearch(AbstractSearch):
             # if a postcode is given, don't search for state or country level objects
             sql = sql.where(tsearch.c.address_rank > 9)
             tpc = conn.t.postcode
             # if a postcode is given, don't search for state or country level objects
             sql = sql.where(tsearch.c.address_rank > 9)
             tpc = conn.t.postcode
+            pcs = self.postcodes.values
             if self.expected_count > 1000:
                 # Many results expected. Restrict by postcode.
                 sql = sql.where(sa.select(tpc.c.postcode)
             if self.expected_count > 1000:
                 # Many results expected. Restrict by postcode.
                 sql = sql.where(sa.select(tpc.c.postcode)
-                                  .where(tpc.c.postcode.in_(self.postcodes.values))
+                                  .where(tpc.c.postcode.in_(pcs))
                                   .where(tsearch.c.centroid.ST_DWithin(tpc.c.geometry, 0.12))
                                   .exists())
 
             # Less results, only have a preference for close postcodes
             pc_near = sa.select(sa.func.min(tpc.c.geometry.ST_Distance(tsearch.c.centroid)))\
                                   .where(tsearch.c.centroid.ST_DWithin(tpc.c.geometry, 0.12))
                                   .exists())
 
             # Less results, only have a preference for close postcodes
             pc_near = sa.select(sa.func.min(tpc.c.geometry.ST_Distance(tsearch.c.centroid)))\
-                      .where(tpc.c.postcode.in_(self.postcodes.values))\
+                      .where(tpc.c.postcode.in_(pcs))\
                       .scalar_subquery()
                       .scalar_subquery()
-            penalty += sa.case((t.c.postcode.in_(self.postcodes.values), 0.0),
+            penalty += sa.case((t.c.postcode.in_(pcs), 0.0),
                                else_=sa.func.coalesce(pc_near, 2.0))
 
         if details.viewbox is not None:
             if details.bounded_viewbox:
                                else_=sa.func.coalesce(pc_near, 2.0))
 
         if details.viewbox is not None:
             if details.bounded_viewbox:
-                sql = sql.where(tsearch.c.centroid.intersects(VIEWBOX_PARAM))
+                if details.viewbox.area < 0.2:
+                    sql = sql.where(tsearch.c.centroid.intersects(VIEWBOX_PARAM))
+                else:
+                    sql = sql.where(tsearch.c.centroid.ST_Intersects_no_index(VIEWBOX_PARAM))
+            elif self.expected_count >= 10000:
+                if details.viewbox.area < 0.5:
+                    sql = sql.where(tsearch.c.centroid.intersects(VIEWBOX2_PARAM))
+                else:
+                    sql = sql.where(tsearch.c.centroid.ST_Intersects_no_index(VIEWBOX2_PARAM))
             else:
                 penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0),
             else:
                 penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0),
-                                   (t.c.geometry.intersects(VIEWBOX2_PARAM), 1.0),
-                                   else_=2.0)
+                                   (t.c.geometry.intersects(VIEWBOX2_PARAM), 0.5),
+                                   else_=1.0)
 
         if details.near is not None:
             if details.near_radius is not None:
 
         if details.near is not None:
             if details.near_radius is not None:
-                sql = sql.where(tsearch.c.centroid.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM))
-            sql = sql.add_columns(-tsearch.c.centroid.ST_Distance(NEAR_PARAM)
+                if details.near_radius < 0.1:
+                    sql = sql.where(tsearch.c.centroid.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM))
+                else:
+                    sql = sql.where(tsearch.c.centroid.ST_DWithin_no_index(NEAR_PARAM,
+                                                                           NEAR_RADIUS_PARAM))
+            sql = sql.add_columns((-tsearch.c.centroid.ST_Distance(NEAR_PARAM))
                                       .label('importance'))
             sql = sql.order_by(sa.desc(sa.text('importance')))
         else:
                                       .label('importance'))
             sql = sql.order_by(sa.desc(sa.text('importance')))
         else:
-            sql = sql.order_by(penalty - sa.case((tsearch.c.importance > 0, tsearch.c.importance),
-                                  else_=0.75001-(sa.cast(tsearch.c.search_rank, sa.Float())/40)))
+            if self.expected_count < 10000\
+               or (details.viewbox is not None and details.viewbox.area < 0.5):
+                sql = sql.order_by(
+                        penalty - sa.case((tsearch.c.importance > 0, tsearch.c.importance),
+                                    else_=0.75001-(sa.cast(tsearch.c.search_rank, sa.Float())/40)))
             sql = sql.add_columns(t.c.importance)
 
 
             sql = sql.add_columns(t.c.importance)
 
 
-        sql = sql.add_columns(penalty.label('accuracy'))\
-                 .order_by(sa.text('accuracy'))
+        sql = sql.add_columns(penalty.label('accuracy'))
+
+        if self.expected_count < 10000:
+            sql = sql.order_by(sa.text('accuracy'))
 
         if self.housenumbers:
             hnr_regexp = f"\\m({'|'.join(self.housenumbers.values)})\\M"
             sql = sql.where(tsearch.c.address_rank.between(16, 30))\
                      .where(sa.or_(tsearch.c.address_rank < 30,
 
         if self.housenumbers:
             hnr_regexp = f"\\m({'|'.join(self.housenumbers.values)})\\M"
             sql = sql.where(tsearch.c.address_rank.between(16, 30))\
                      .where(sa.or_(tsearch.c.address_rank < 30,
-                                  t.c.housenumber.op('~*')(hnr_regexp)))
+                                   t.c.housenumber.op('~*')(hnr_regexp)))
 
             # Cross check for housenumbers, need to do that on a rather large
             # set. Worst case there are 40.000 main streets in OSM.
 
             # Cross check for housenumbers, need to do that on a rather large
             # set. Worst case there are 40.000 main streets in OSM.
@@ -649,13 +711,14 @@ class PlaceSearch(AbstractSearch):
                           .where(thnr.c.indexed_status == 0)
 
             if details.excluded:
                           .where(thnr.c.indexed_status == 0)
 
             if details.excluded:
-                place_sql = place_sql.where(thnr.c.place_id.not_in(EXCLUDED_PARAM))
+                place_sql = place_sql.where(thnr.c.place_id.not_in(sa.bindparam('excluded')))
             if self.qualifiers:
                 place_sql = place_sql.where(self.qualifiers.sql_restrict(thnr))
 
             if self.qualifiers:
                 place_sql = place_sql.where(self.qualifiers.sql_restrict(thnr))
 
-            numerals = [int(n) for n in self.housenumbers.values if n.isdigit()]
-            interpol_sql: SaExpression
-            tiger_sql: SaExpression
+            numerals = [int(n) for n in self.housenumbers.values
+                        if n.isdigit() and len(n) < 8]
+            interpol_sql: SaColumn
+            tiger_sql: SaColumn
             if numerals and \
                (not self.qualifiers or ('place', 'house') in self.qualifiers.values):
                 # Housenumbers from interpolations
             if numerals and \
                (not self.qualifiers or ('place', 'house') in self.qualifiers.values):
                 # Housenumbers from interpolations
@@ -667,8 +730,8 @@ class PlaceSearch(AbstractSearch):
                                                                   numerals, details)
                                     ), else_=None)
             else:
                                                                   numerals, details)
                                     ), else_=None)
             else:
-                interpol_sql = sa.literal_column('NULL')
-                tiger_sql = sa.literal_column('NULL')
+                interpol_sql = sa.null()
+                tiger_sql = sa.null()
 
             unsort = sa.select(inner, place_sql.scalar_subquery().label('placex_hnr'),
                                interpol_sql.label('interpol_hnr'),
 
             unsort = sa.select(inner, place_sql.scalar_subquery().label('placex_hnr'),
                                interpol_sql.label('interpol_hnr'),
@@ -685,7 +748,7 @@ class PlaceSearch(AbstractSearch):
             if self.qualifiers:
                 sql = sql.where(self.qualifiers.sql_restrict(t))
             if details.excluded:
             if self.qualifiers:
                 sql = sql.where(self.qualifiers.sql_restrict(t))
             if details.excluded:
-                sql = sql.where(tsearch.c.place_id.not_in(EXCLUDED_PARAM))
+                sql = sql.where(_exclude_places(tsearch))
             if details.min_rank > 0:
                 sql = sql.where(sa.or_(tsearch.c.address_rank >= MIN_RANK_PARAM,
                                        tsearch.c.search_rank >= MIN_RANK_PARAM))
             if details.min_rank > 0:
                 sql = sql.where(sa.or_(tsearch.c.address_rank >= MIN_RANK_PARAM,
                                        tsearch.c.search_rank >= MIN_RANK_PARAM))
@@ -703,9 +766,6 @@ class PlaceSearch(AbstractSearch):
             assert result
             result.bbox = Bbox.from_wkb(row.bbox)
             result.accuracy = row.accuracy
             assert result
             result.bbox = Bbox.from_wkb(row.bbox)
             result.accuracy = row.accuracy
-            if not details.excluded or not result.place_id in details.excluded:
-                results.append(result)
-
             if self.housenumbers and row.rank_address < 30:
                 if row.placex_hnr:
                     subs = _get_placex_housenumbers(conn, row.placex_hnr, details)
             if self.housenumbers and row.rank_address < 30:
                 if row.placex_hnr:
                     subs = _get_placex_housenumbers(conn, row.placex_hnr, details)
@@ -725,6 +785,14 @@ class PlaceSearch(AbstractSearch):
                             sub.accuracy += 0.6
                         results.append(sub)
 
                             sub.accuracy += 0.6
                         results.append(sub)
 
-                result.accuracy += 1.0 # penalty for missing housenumber
+                # Only add the street as a result, if it meets all other
+                # filter conditions.
+                if (not details.excluded or result.place_id not in details.excluded)\
+                   and (not self.qualifiers or result.category in self.qualifiers.values)\
+                   and result.rank_address >= details.min_rank:
+                    result.accuracy += 1.0 # penalty for missing housenumber
+                    results.append(result)
+            else:
+                results.append(result)
 
         return results
 
         return results