Merge pull request #3293 from lonvia/rematch-against-country-code

[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 db35f7265427b1e7b957c468556de4f67e50ec44..555819e7451dac76042482cd101ffbdfd067c882 100644 (file)
--- a/nominatim/api/search/db_searches.py
+++ b/nominatim/api/search/db_searches.py
@@ -7,57 +7,109 @@
 """
 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, cast

 import abc
 
 import sqlalchemy as sa
 import abc
 
 import sqlalchemy as sa

-from sqlalchemy.dialects.postgresql import ARRAY, array_agg

 
 from nominatim.typing import SaFromClause, SaScalarSelect, SaColumn, \
 
 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, IntArray

 
 #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.
+    """
+    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 filter_by_area(sql: SaSelect, t: SaFromClause,
+                   details: SearchDetails, avoid_index: bool = False) -> SaSelect:
+    """ Apply SQL statements for filtering by viewbox and near point,
+        if applicable.
+    """
+    if details.near is not None and details.near_radius is not None:
+        if details.near_radius < 0.1 and not avoid_index:
+            sql = sql.where(t.c.geometry.within_distance(NEAR_PARAM, NEAR_RADIUS_PARAM))
+        else:
+            sql = sql.where(t.c.geometry.ST_Distance(NEAR_PARAM) <= NEAR_RADIUS_PARAM)
+    if details.viewbox is not None and details.bounded_viewbox:
+        sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM,
+                                                use_index=not avoid_index and
+                                                          details.viewbox.area < 0.2))
+
+    return sql
+
+
+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:
     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, 7).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, 7).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, 0, 7).label('geometry_svg'))

 
     return sql.add_columns(*out)
 
 
 def _make_interpolation_subquery(table: SaFromClause, inner: SaFromClause,
                                  numerals: List[int], details: SearchDetails) -> SaScalarSelect:
 
     return sql.add_columns(*out)
 
 
 def _make_interpolation_subquery(table: SaFromClause, inner: SaFromClause,
                                  numerals: List[int], details: SearchDetails) -> SaScalarSelect:

-    all_ids = array_agg(table.c.place_id) # type: ignore[no-untyped-call]
+    all_ids = sa.func.ArrayAgg(table.c.place_id)

     sql = sa.select(all_ids).where(table.c.parent_place_id == inner.c.place_id)
 
     if len(numerals) == 1:
     sql = sa.select(all_ids).where(table.c.parent_place_id == inner.c.place_id)
 
     if len(numerals) == 1:


@@ -70,7 +122,7 @@ 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()
 


@@ -78,14 +130,12 @@ 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,
-                              sa.or_(table.c.housenumber != None,
-                                     table.c.address.has_key('housename'))))
+        orexpr.append(no_index(table.c.rank_address).between(1, 29))
+        orexpr.append(sa.func.IsAddressPoint(table))

     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:


@@ -95,7 +145,7 @@ 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:


@@ -103,7 +153,7 @@ 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]


@@ -122,23 +172,34 @@ 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)
         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
 
 

+def _int_list_to_subquery(inp: List[int]) -> 'sa.Subquery':
+    """ Create a subselect that returns the given list of integers
+        as rows in the column 'nr'.
+    """
+    vtab = sa.func.JsonArrayEach(sa.type_coerce(inp, sa.JSON))\
+               .table_valued(sa.column('value', type_=sa.JSON))
+    return sa.select(sa.cast(sa.cast(vtab.c.value, sa.Text), sa.Integer).label('nr')).subquery()
+
+

 async def _get_osmline(conn: SearchConnection, place_ids: List[int],
                        numerals: List[int],
                        details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
     t = conn.t.osmline
 async def _get_osmline(conn: SearchConnection, place_ids: List[int],
                        numerals: List[int],
                        details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
     t = conn.t.osmline

-    values = sa.values(sa.Column('nr', sa.Integer()), name='housenumber')\
-               .data([(n,) for n in numerals])
+
+    values = _int_list_to_subquery(numerals)

     sql = sa.select(t.c.place_id, t.c.osm_id,
                     t.c.parent_place_id, t.c.address,
                     values.c.nr.label('housenumber'),
     sql = sa.select(t.c.place_id, t.c.osm_id,
                     t.c.parent_place_id, t.c.address,
                     values.c.nr.label('housenumber'),


@@ -161,8 +222,7 @@ async def _get_tiger(conn: SearchConnection, place_ids: List[int],
                      numerals: List[int], osm_id: int,
                      details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
     t = conn.t.tiger
                      numerals: List[int], osm_id: int,
                      details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
     t = conn.t.tiger

-    values = sa.values(sa.Column('nr', sa.Integer()), name='housenumber')\
-               .data([(n,) for n in numerals])
+    values = _int_list_to_subquery(numerals)

     sql = sa.select(t.c.place_id, t.c.parent_place_id,
                     sa.literal('W').label('osm_type'),
                     sa.literal(osm_id).label('osm_id'),
     sql = sa.select(t.c.place_id, t.c.parent_place_id,
                     sa.literal('W').label('osm_type'),
                     sa.literal(osm_id).label('osm_id'),


@@ -185,6 +245,7 @@ async def _get_tiger(conn: SearchConnection, place_ids: List[int],
 class AbstractSearch(abc.ABC):
     """ Encapuslation of a single lookup in the database.
     """
 class AbstractSearch(abc.ABC):
     """ Encapuslation of a single lookup in the database.
     """

+    SEARCH_PRIO: int = 2

 
     def __init__(self, penalty: float) -> None:
         self.penalty = penalty
 
     def __init__(self, penalty: float) -> None:
         self.penalty = penalty


@@ -218,9 +279,20 @@ 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]


@@ -242,45 +314,52 @@ 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
+            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.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)))\
-                     .order_by(tgeom.c.centroid.ST_Distance(table.c.centroid))
+            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:
         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 +369,7 @@ 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
 
 


@@ -298,62 +377,70 @@ 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) \
+                           .add_columns((-t.c.centroid.ST_Distance(NEAR_PARAM))
+                                         .label('importance'))\
+                           .where(t.c.linked_place_id == None) \
+                           .where(t.c.geometry.within_distance(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)\

+                               .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])
 
                     if details.viewbox is not None and details.bounded_viewbox:
                                .join(table, t.c.place_id == table.c.place_id)\
                                .where(t.c.class_ == category[0])\
                                .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.within_distance(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


@@ -362,6 +449,8 @@ class PoiSearch(AbstractSearch):
 class CountrySearch(AbstractSearch):
     """ Search for a country name or country code.
     """
 class CountrySearch(AbstractSearch):
     """ Search for a country name or country code.
     """

+    SEARCH_PRIO = 0
+

     def __init__(self, sdata: SearchData) -> None:
         super().__init__(sdata.penalty)
         self.countries = sdata.countries
     def __init__(self, sdata: SearchData) -> None:
         super().__init__(sdata.penalty)
         self.countries = sdata.countries


@@ -373,65 +462,75 @@ 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(details.excluded))
+            sql = sql.where(_exclude_places(t))

 
 

-        if details.viewbox is not None and details.bounded_viewbox:
-            sql = sql.where(t.c.geometry.intersects(details.viewbox.sql_value()))
-
-        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 = filter_by_area(sql, t, details)

 
         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)
 
             results.append(result)
 

-        return results or await self.lookup_in_country_table(conn, details)
+        if not results:
+            results = await self.lookup_in_country_table(conn, details)
+
+        if results:
+            details.min_rank = min(5, details.max_rank)
+            details.max_rank = min(25, details.max_rank)
+
+        return results

 
 
     async def lookup_in_country_table(self, conn: SearchConnection,
                                       details: SearchDetails) -> nres.SearchResults:
         """ Look up the country in the fallback country tables.
         """
 
 
     async def lookup_in_country_table(self, conn: SearchConnection,
                                       details: SearchDetails) -> nres.SearchResults:
         """ Look up the country in the fallback country tables.
         """

+        # Avoid the fallback search when this is a more search. Country results
+        # usually are in the first batch of results and it is not possible
+        # to exclude these fallbacks.
+        if details.excluded:
+            return nres.SearchResults()
+

         t = conn.t.country_name
         tgrid = conn.t.country_grid
 
         sql = sa.select(tgrid.c.country_code,
                         tgrid.c.geometry.ST_Centroid().ST_Collect().ST_Centroid()
         t = conn.t.country_name
         tgrid = conn.t.country_grid
 
         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)
 
                 .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(details.viewbox.sql_value()))
-        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 = filter_by_area(sql, tgrid, details, avoid_index=True)

 
         sub = sql.subquery('grid')
 
         sql = sa.select(t.c.country_code,
 
         sub = sql.subquery('grid')
 
         sql = sa.select(t.c.country_code,

-                        (t.c.name
-                         + sa.func.coalesce(t.c.derived_name,
-                                            sa.cast('', type_=conn.t.types.Composite))
-                        ).label('name'),
-                        sub.c.centroid)\
+                        t.c.name.merge(t.c.derived_name).label('name'),
+                        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()
         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 = 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)
 


@@ -455,46 +554,42 @@ 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)
 

-        if details.viewbox is not None:
-            if details.bounded_viewbox:
-                sql = sql.where(t.c.geometry.intersects(details.viewbox.sql_value()))
-            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),
-                                   else_=2.0)
+        if details.viewbox is not None and not details.bounded_viewbox:
+            penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0),
+                               (t.c.geometry.intersects(VIEWBOX2_PARAM), 0.5),
+                               else_=1.0)

 
         if details.near is not None:
 
         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.order_by(t.c.geometry.ST_Distance(NEAR_PARAM))
+
+        sql = filter_by_area(sql, t, details)

 
         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

-            assert self.lookups[0].lookup_type == 'restrict'

             tsearch = conn.t.search_name
             sql = sql.where(tsearch.c.place_id == t.c.parent_place_id)\
             tsearch = conn.t.search_name
             sql = sql.where(tsearch.c.place_id == t.c.parent_place_id)\

-                     .where(sa.func.array_cat(tsearch.c.name_vector,
-                                              tsearch.c.nameaddress_vector,
-                                              type_=ARRAY(sa.Integer))
-                                    .contains(self.lookups[0].tokens))
+                     .where((tsearch.c.name_vector + tsearch.c.nameaddress_vector)
+                                     .contains(sa.type_coerce(self.lookups[0].tokens,
+                                                              IntArray)))

 
         for ranking in self.rankings:
             penalty += ranking.sql_penalty(conn.t.search_name)
 
         for ranking in self.rankings:
             penalty += ranking.sql_penalty(conn.t.search_name)


@@ -503,10 +598,10 @@ 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


@@ -519,6 +614,8 @@ class PostcodeSearch(AbstractSearch):
 class PlaceSearch(AbstractSearch):
     """ Generic search for an address or named place.
     """
 class PlaceSearch(AbstractSearch):
     """ Generic search for an address or named place.
     """

+    SEARCH_PRIO = 1
+

     def __init__(self, extra_penalty: float, sdata: SearchData, expected_count: int) -> None:
         super().__init__(sdata.penalty + extra_penalty)
         self.countries = sdata.countries
     def __init__(self, extra_penalty: float, sdata: SearchData, expected_count: int) -> None:
         super().__init__(sdata.penalty + extra_penalty)
         self.countries = sdata.countries


@@ -534,22 +631,15 @@ 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')
-        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:
+                  _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:


@@ -562,50 +652,68 @@ class PlaceSearch(AbstractSearch):
             sql = sql.where(tsearch.c.country_code.in_(self.countries.values))
 
         if self.postcodes:
             sql = sql.where(tsearch.c.country_code.in_(self.countries.values))
 
         if self.postcodes:

+            # 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
             tpc = conn.t.postcode

-            if self.expected_count > 1000:
+            pcs = self.postcodes.values
+            if self.expected_count > 5000:

                 # Many results expected. Restrict by postcode.
                 sql = sql.where(sa.select(tpc.c.postcode)
                 # Many results expected. Restrict by postcode.
                 sql = sql.where(sa.select(tpc.c.postcode)

-                                  .where(tpc.c.postcode.in_(self.postcodes.values))
-                                  .where(tsearch.c.centroid.ST_DWithin(tpc.c.geometry, 0.12))
+                                  .where(tpc.c.postcode.in_(pcs))
+                                  .where(tsearch.c.centroid.within_distance(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)))\
                                   .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),
-                               else_=sa.func.coalesce(pc_near, 2.0))
+            penalty += sa.case((t.c.postcode.in_(pcs), 0.0),
+                               else_=sa.func.coalesce(pc_near, cast(SaColumn, 2.0)))

 
         if details.viewbox is not None:
             if details.bounded_viewbox:
 
         if details.viewbox is not None:
             if details.bounded_viewbox:

-                sql = sql.where(tsearch.c.centroid.intersects(details.viewbox.sql_value()))
+                sql = sql.where(tsearch.c.centroid
+                                         .intersects(VIEWBOX_PARAM,
+                                                     use_index=details.viewbox.area < 0.2))
+            elif not self.postcodes and not self.housenumbers and self.expected_count >= 10000:
+                sql = sql.where(tsearch.c.centroid
+                                         .intersects(VIEWBOX2_PARAM,
+                                                     use_index=details.viewbox.area < 0.5))

             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),
-                                   else_=2.0)
+                penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM, use_index=False), 0.0),
+                                   (t.c.geometry.intersects(VIEWBOX2_PARAM, use_index=False), 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(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.within_distance(NEAR_PARAM,
+                                                                       NEAR_RADIUS_PARAM))
+                else:
+                    sql = sql.where(tsearch.c.centroid
+                                             .ST_Distance(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:
 
         if self.housenumbers:

-            hnr_regexp = f"\\m({'|'.join(self.housenumbers.values)})\\M"
+            hnr_list = '|'.join(self.housenumbers.values)

             sql = sql.where(tsearch.c.address_rank.between(16, 30))\
                      .where(sa.or_(tsearch.c.address_rank < 30,
             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')))
+                                   sa.func.RegexpWord(hnr_list, t.c.housenumber)))

 
             # 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.


@@ -613,21 +721,22 @@ class PlaceSearch(AbstractSearch):
 
             # Housenumbers from placex
             thnr = conn.t.placex.alias('hnr')
 
             # Housenumbers from placex
             thnr = conn.t.placex.alias('hnr')

-            pid_list = array_agg(thnr.c.place_id) # type: ignore[no-untyped-call]
+            pid_list = sa.func.ArrayAgg(thnr.c.place_id)

             place_sql = sa.select(pid_list)\
                           .where(thnr.c.parent_place_id == inner.c.place_id)\
             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(sa.func.RegexpWord(hnr_list, thnr.c.housenumber))\

                           .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


@@ -639,8 +748,8 @@ 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'),


@@ -657,26 +766,24 @@ 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
             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)


@@ -696,6 +803,14 @@ 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