X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/b710297d053fe0bfd8fb23686b48358853dbd827..0a2d0c3b5c9253e124d387486fdf4f26ccf75572:/nominatim/api/search/db_searches.py?ds=inline diff --git a/nominatim/api/search/db_searches.py b/nominatim/api/search/db_searches.py index 115f32fa..4d893962 100644 --- a/nominatim/api/search/db_searches.py +++ b/nominatim/api/search/db_searches.py @@ -111,7 +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, - 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')))) @@ -627,6 +627,11 @@ class PlaceSearch(AbstractSearch): sql = sql.where(tsearch.c.centroid.intersects(VIEWBOX_PARAM)) else: sql = sql.where(tsearch.c.centroid.ST_Intersects_no_index(VIEWBOX_PARAM)) + elif self.expected_count >= 10000: + if details.viewbox.area < 0.5: + sql = sql.where(tsearch.c.centroid.intersects(VIEWBOX2_PARAM)) + else: + sql = sql.where(tsearch.c.centroid.ST_Intersects_no_index(VIEWBOX2_PARAM)) else: penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0), (t.c.geometry.intersects(VIEWBOX2_PARAM), 1.0), @@ -643,13 +648,18 @@ class PlaceSearch(AbstractSearch): .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(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"