reduce expected count for multi-part words

[nominatim.git] / nominatim / api / search / db_searches.py

diff --git a/nominatim/api/search/db_searches.py b/nominatim/api/search/db_searches.py
index 76ff368f85b177ae8ad9dee579ec0bbc6de4e160..1f7eb0093a6bc8245bbe3b422084e4bcd25d73fd 100644 (file)
--- a/nominatim/api/search/db_searches.py
+++ b/nominatim/api/search/db_searches.py
@@ -7,22 +7,53 @@
 """
 Implementation of the acutal database accesses for forward search.
 """
 """
 Implementation of the acutal database accesses for forward search.
 """

-from typing import List, Tuple, AsyncIterator
+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.search.db_search_fields import SearchData, WeightedCategories
 from nominatim.api.connection import SearchConnection
 from nominatim.api.types import SearchDetails, DataLayer, GeometryFormat, Bbox
 import nominatim.api.results as nres
 from nominatim.api.search.db_search_fields import SearchData, WeightedCategories

+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 _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.
+    """
+    return {'limit': details.max_results,
+            'min_rank': details.min_rank,
+            'max_rank': details.max_rank,
+            'viewbox': details.viewbox,
+            'viewbox2': details.viewbox_x2,
+            'near': details.near,
+            'near_radius': details.near_radius,
+            'excluded': details.excluded,
+            'countries': details.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,
 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,


@@ -34,23 +65,20 @@ def _select_placex(t: SaFromClause) -> SaSelect:
                      t.c.geometry.ST_Expand(0).label('bbox'))
 
 
                      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:
     out = []
 
     if details.geometry_simplification > 0.0:

-        col = col.ST_SimplifyPreserveTopology(details.geometry_simplification)
+        col = sa.func.ST_SimplifyPreserveTopology(col, details.geometry_simplification)

 
     if details.geometry_output & GeometryFormat.GEOJSON:
 
     if details.geometry_output & GeometryFormat.GEOJSON:

-        out.append(col.ST_AsGeoJSON().label('geometry_geojson'))
+        out.append(sa.func.ST_AsGeoJSON(col).label('geometry_geojson'))

     if details.geometry_output & GeometryFormat.TEXT:
     if details.geometry_output & GeometryFormat.TEXT:

-        out.append(col.ST_AsText().label('geometry_text'))
+        out.append(sa.func.ST_AsText(col).label('geometry_text'))

     if details.geometry_output & GeometryFormat.KML:
     if details.geometry_output & GeometryFormat.KML:

-        out.append(col.ST_AsKML().label('geometry_kml'))
+        out.append(sa.func.ST_AsKML(col).label('geometry_kml'))

     if details.geometry_output & GeometryFormat.SVG:
     if details.geometry_output & GeometryFormat.SVG:

-        out.append(col.ST_AsSVG().label('geometry_svg'))
+        out.append(sa.func.ST_AsSVG(col).label('geometry_svg'))

 
     return sql.add_columns(*out)
 
 
     return sql.add_columns(*out)
 


@@ -70,7 +98,7 @@ 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(details.excluded))
+        sql = sql.where(_exclude_places(table))

 
     return sql.scalar_subquery()
 
 
     return sql.scalar_subquery()
 


@@ -83,7 +111,7 @@ def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn:
         orexpr.append(table.c.rank_address.between(1, 29))
         orexpr.append(sa.and_(table.c.rank_address == 30,
                               sa.or_(table.c.housenumber != None,
         orexpr.append(table.c.rank_address.between(1, 29))
         orexpr.append(sa.and_(table.c.rank_address == 30,
                               sa.or_(table.c.housenumber != None,

-                                     table.c.address.has_key('housename'))))
+                                     table.c.address.has_key('addr:housename'))))

     elif layers & DataLayer.POI:
         orexpr.append(sa.and_(table.c.rank_address == 30,
                               table.c.class_.not_in(('place', 'building'))))
     elif layers & DataLayer.POI:
         orexpr.append(sa.and_(table.c.rank_address == 30,
                               table.c.class_.not_in(('place', 'building'))))


@@ -124,12 +152,13 @@ async def _get_placex_housenumbers(conn: SearchConnection,
     t = conn.t.placex
     sql = _select_placex(t).where(t.c.place_id.in_(place_ids))
 
     t = conn.t.placex
     sql = _select_placex(t).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)
         assert result
 
     for row in await conn.execute(sql):
         result = nres.create_from_placex_row(row, nres.SearchResult)
         assert result

-        result.bbox = Bbox.from_wkb(row.bbox.data)
+        result.bbox = Bbox.from_wkb(row.bbox)

         yield result
 
 
         yield result
 
 


@@ -242,7 +271,7 @@ class NearSearch(AbstractSearch):
         """
         table = await conn.get_class_table(*category)
 
         """
         table = await conn.get_class_table(*category)
 

-        t = conn.t.placex.alias('p')
+        t = conn.t.placex

         tgeom = conn.t.placex.alias('pgeom')
 
         sql = _select_placex(t).where(tgeom.c.place_id.in_(ids))\
         tgeom = conn.t.placex.alias('pgeom')
 
         sql = _select_placex(t).where(tgeom.c.place_id.in_(ids))\


@@ -258,29 +287,27 @@ class NearSearch(AbstractSearch):
             # radius for the lookup.
             sql = sql.join(table, t.c.place_id == table.c.place_id)\
                      .join(tgeom,
             # 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.ST_GeometryType().in_(
-                                                ('ST_Polygon', 'ST_MultiPolygon'))),
-                                    tgeom.c.geometry.ST_Contains(table.c.centroid)),
-                                   else_ = tgeom.c.centroid.ST_DWithin(table.c.centroid, 0.05)))\
+                           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))))\

                      .order_by(tgeom.c.centroid.ST_Distance(table.c.centroid))
 
                      .order_by(tgeom.c.centroid.ST_Distance(table.c.centroid))
 

+        sql = sql.where(t.c.rank_address.between(MIN_RANK_PARAM, MAX_RANK_PARAM))

         if details.countries:
         if details.countries:

-            sql = sql.where(t.c.country_code.in_(details.countries))
-        if details.min_rank > 0:
-            sql = sql.where(t.c.rank_address >= details.min_rank)
-        if details.max_rank < 30:
-            sql = sql.where(t.c.rank_address <= details.max_rank)
+            sql = sql.where(t.c.country_code.in_(COUNTRIES_PARAM))

         if details.excluded:
         if details.excluded:

-            sql = sql.where(t.c.place_id.not_in(details.excluded))
+            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))
 

-        for row in await conn.execute(sql.limit(details.max_results)):
+        sql = sql.limit(LIMIT_PARAM)
+        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 + penalty
             result = nres.create_from_placex_row(row, nres.SearchResult)
             assert result
             result.accuracy = self.penalty + penalty

-            result.bbox = Bbox.from_wkb(row.bbox.data)
+            result.bbox = Bbox.from_wkb(row.bbox)

             results.append(result)
 
 
             results.append(result)
 
 


@@ -290,7 +317,7 @@ 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
 
 


@@ -298,36 +325,40 @@ class PoiSearch(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.
         """

+        bind_params = _details_to_bind_params(details)

         t = conn.t.placex
 
         rows: List[SaRow] = []
 
         if details.near and details.near_radius is not None and details.near_radius < 0.2:
             # simply search in placex table
         t = conn.t.placex
 
         rows: List[SaRow] = []
 
         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(details.near.sql_value(),
-                                                     details.near_radius)) \
-                      .order_by(t.c.centroid.ST_Distance(details.near.sql_value()))
+            def _base_query() -> SaSelect:
+                return _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)) \
+                           .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 details.viewbox is not None and details.bounded_viewbox:
 
             if self.countries:
                 sql = sql.where(t.c.country_code.in_(self.countries.values))
 
             if details.viewbox is not None and details.bounded_viewbox:

-                sql = sql.where(t.c.geometry.intersects(details.viewbox.sql_value()))
+                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)))
-
-            rows.extend(await conn.execute(sql.limit(details.max_results)))
+            rows.extend(await conn.execute(sql, bind_params))

         else:
             # use the class type tables
         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)\


@@ -336,24 +367,25 @@ class PoiSearch(AbstractSearch):
                                .where(t.c.type == category[1])
 
                     if details.viewbox is not None and details.bounded_viewbox:
                                .where(t.c.type == category[1])
 
                     if details.viewbox is not None and details.bounded_viewbox:

-                        sql = sql.where(table.c.centroid.intersects(details.viewbox.sql_value()))
+                        sql = sql.where(table.c.centroid.intersects(VIEWBOX_PARAM))

 
 

-                    if details.near:
-                        sql = sql.order_by(table.c.centroid.ST_Distance(details.near.sql_value()))\
-                                 .where(table.c.centroid.ST_DWithin(details.near.sql_value(),
-                                                                    details.near_radius or 0.5))
+                    if details.near and details.near_radius is not None:
+                        sql = sql.order_by(table.c.centroid.ST_Distance(NEAR_PARAM))\
+                                 .where(table.c.centroid.ST_DWithin(NEAR_PARAM,
+                                                                    NEAR_RADIUS_PARAM))

 
                     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))
 

-                    rows.extend(await conn.execute(sql.limit(details.max_results)))
+                    sql = sql.limit(LIMIT_PARAM)
+                    rows.extend(await conn.execute(sql, bind_params))

 
         results = nres.SearchResults()
         for row in rows:
             result = nres.create_from_placex_row(row, nres.SearchResult)
             assert result
 
         results = nres.SearchResults()
         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.bbox = Bbox.from_wkb(row.bbox.data)
+            result.accuracy = self.penalty + self.qualifiers.get_penalty((row.class_, row.type))
+            result.bbox = Bbox.from_wkb(row.bbox)

             results.append(result)
 
         return results
             results.append(result)
 
         return results


@@ -373,27 +405,29 @@ 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))\
+                .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(details.excluded))
+            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(details.viewbox.sql_value()))
+            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(details.near.sql_value(),
-                                                    details.near_radius))
+            sql = sql.where(_within_near(t))

 
         results = nres.SearchResults()
 
         results = nres.SearchResults()

-        for row in await conn.execute(sql):
+        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 = 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)


@@ -419,10 +453,9 @@ class CountrySearch(AbstractSearch):
                 .group_by(tgrid.c.country_code)
 
         if details.viewbox is not None and details.bounded_viewbox:
                 .group_by(tgrid.c.country_code)
 
         if details.viewbox is not None and details.bounded_viewbox:

-            sql = sql.where(tgrid.c.geometry.intersects(details.viewbox.sql_value()))
+            sql = sql.where(tgrid.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(tgrid.c.geometry.ST_DWithin(details.near.sql_value(),
-                                                        details.near_radius))
+            sql = sql.where(_within_near(tgrid))

 
         sub = sql.subquery('grid')
 
 
         sub = sql.subquery('grid')
 


@@ -435,7 +468,7 @@ class CountrySearch(AbstractSearch):
                 .join(sub, t.c.country_code == sub.c.country_code)
 
         results = nres.SearchResults()
                 .join(sub, t.c.country_code == sub.c.country_code)
 
         results = nres.SearchResults()

-        for row in await conn.execute(sql):
+        for row in await conn.execute(sql, _details_to_bind_params(details)):

             result = nres.create_from_country_row(row, nres.SearchResult)
             assert result
             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)
             result = nres.create_from_country_row(row, nres.SearchResult)
             assert result
             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)


@@ -461,36 +494,37 @@ 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)
 
         if details.viewbox is not None:
             if details.bounded_viewbox:
 
         penalty: SaExpression = sa.literal(self.penalty)
 
         if details.viewbox is not None:
             if details.bounded_viewbox:

-                sql = sql.where(t.c.geometry.intersects(details.viewbox.sql_value()))
+                sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM))

             else:
             else:

-                penalty += sa.case((t.c.geometry.intersects(details.viewbox.sql_value()), 0.0),
-                                   (t.c.geometry.intersects(details.viewbox_x2.sql_value()), 1.0),
+                penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0),
+                                   (t.c.geometry.intersects(VIEWBOX2_PARAM), 1.0),

                                    else_=2.0)
 
         if details.near is not None:
             if details.near_radius is not None:
                                    else_=2.0)
 
         if details.near is not None:
             if details.near_radius is not None:

-                sql = sql.where(t.c.geometry.ST_DWithin(details.near.sql_value(),
-                                                        details.near_radius))
-            sql = sql.order_by(t.c.geometry.ST_Distance(details.near.sql_value()))
+                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:
 
         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(details.excluded))
+            sql = sql.where(_exclude_places(t))

 
         if self.lookups:
             assert len(self.lookups) == 1
 
         if self.lookups:
             assert len(self.lookups) == 1


@@ -509,10 +543,10 @@ class PostcodeSearch(AbstractSearch):
 
 
         sql = sql.add_columns(penalty.label('accuracy'))
 
 
         sql = sql.add_columns(penalty.label('accuracy'))

-        sql = sql.order_by('accuracy')
+        sql = sql.order_by('accuracy').limit(LIMIT_PARAM)

 
         results = nres.SearchResults()
 
         results = nres.SearchResults()

-        for row in await conn.execute(sql.limit(details.max_results)):
+        for row in await conn.execute(sql, _details_to_bind_params(details)):

             result = nres.create_from_postcode_row(row, nres.SearchResult)
             assert result
             result.accuracy = row.accuracy
             result = nres.create_from_postcode_row(row, nres.SearchResult)
             assert result
             result.accuracy = row.accuracy


@@ -540,22 +574,23 @@ 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')
-        limit = details.max_results
+        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:
+                  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 = _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:


@@ -571,49 +606,66 @@ 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(details.viewbox.sql_value()))
+                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:
             else:

-                penalty += sa.case((t.c.geometry.intersects(details.viewbox.sql_value()), 0.0),
-                                   (t.c.geometry.intersects(details.viewbox_x2.sql_value()), 1.0),
+                penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0),
+                                   (t.c.geometry.intersects(VIEWBOX2_PARAM), 1.0),

                                    else_=2.0)
 
         if details.near is not None:
             if details.near_radius is not None:
                                    else_=2.0)
 
         if details.near is not None:
             if details.near_radius is not None:

-                sql = sql.where(tsearch.c.centroid.ST_DWithin(details.near.sql_value(),
-                                                         details.near_radius))
-            sql = sql.add_columns(-tsearch.c.centroid.ST_Distance(details.near.sql_value())
+                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.regexp_match(hnr_regexp, flags='i')))
+                                   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.


@@ -624,18 +676,19 @@ class PlaceSearch(AbstractSearch):
             pid_list = array_agg(thnr.c.place_id) # type: ignore[no-untyped-call]
             place_sql = sa.select(pid_list)\
                           .where(thnr.c.parent_place_id == inner.c.place_id)\
             pid_list = array_agg(thnr.c.place_id) # type: ignore[no-untyped-call]
             place_sql = sa.select(pid_list)\
                           .where(thnr.c.parent_place_id == inner.c.place_id)\

-                          .where(thnr.c.housenumber.regexp_match(hnr_regexp, flags='i'))\
+                          .where(thnr.c.housenumber.op('~*')(hnr_regexp))\

                           .where(thnr.c.linked_place_id == None)\
                           .where(thnr.c.indexed_status == 0)
 
             if details.excluded:
                           .where(thnr.c.linked_place_id == None)\
                           .where(thnr.c.indexed_status == 0)
 
             if details.excluded:

-                place_sql = place_sql.where(thnr.c.place_id.not_in(details.excluded))
+                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


@@ -647,8 +700,8 @@ 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'),


@@ -665,22 +718,23 @@ 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(details.excluded))
+                sql = sql.where(_exclude_places(tsearch))

             if details.min_rank > 0:
             if details.min_rank > 0:

-                sql = sql.where(sa.or_(tsearch.c.address_rank >= details.min_rank,
-                                       tsearch.c.search_rank >= details.min_rank))
+                sql = sql.where(sa.or_(tsearch.c.address_rank >= MIN_RANK_PARAM,
+                                       tsearch.c.search_rank >= MIN_RANK_PARAM))

             if details.max_rank < 30:
             if details.max_rank < 30:

-                sql = sql.where(sa.or_(tsearch.c.address_rank <= details.max_rank,
-                                       tsearch.c.search_rank <= details.max_rank))
+                sql = sql.where(sa.or_(tsearch.c.address_rank <= MAX_RANK_PARAM,
+                                       tsearch.c.search_rank <= MAX_RANK_PARAM))

             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))
 

+        sql = sql.limit(LIMIT_PARAM)

 
         results = nres.SearchResults()
 
         results = nres.SearchResults()

-        for row in await conn.execute(sql.limit(limit)):
+        for row in await conn.execute(sql, _details_to_bind_params(details)):

             result = nres.create_from_placex_row(row, nres.SearchResult)
             assert result
             result = nres.create_from_placex_row(row, nres.SearchResult)
             assert result

-            result.bbox = Bbox.from_wkb(row.bbox.data)
+            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)
             result.accuracy = row.accuracy
             if not details.excluded or not result.place_id in details.excluded:
                 results.append(result)