X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/7fcbe13669e0b4b5d7748c69c02d42678adbf518..8a1af9b56659d4ef956f45da2928687a17dea20a:/nominatim/api/search/db_searches.py?ds=sidebyside diff --git a/nominatim/api/search/db_searches.py b/nominatim/api/search/db_searches.py index 047b6220..232f816e 100644 --- a/nominatim/api/search/db_searches.py +++ b/nominatim/api/search/db_searches.py @@ -24,6 +24,13 @@ from nominatim.db.sqlalchemy_types import Geometry #pylint: disable=singleton-comparison,not-callable #pylint: disable=too-many-branches,too-many-arguments,too-many-locals,too-many-statements +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. @@ -59,7 +66,7 @@ def _select_placex(t: SaFromClause) -> SaSelect: 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.linked_place_id, t.c.admin_level, t.c.centroid, @@ -73,13 +80,13 @@ def _add_geometry_columns(sql: SaLambdaSelect, col: SaColumn, details: SearchDet col = sa.func.ST_SimplifyPreserveTopology(col, details.geometry_simplification) if details.geometry_output & GeometryFormat.GEOJSON: - out.append(sa.func.ST_AsGeoJSON(col).label('geometry_geojson')) + out.append(sa.func.ST_AsGeoJSON(col, 7).label('geometry_geojson')) if details.geometry_output & GeometryFormat.TEXT: out.append(sa.func.ST_AsText(col).label('geometry_text')) if details.geometry_output & GeometryFormat.KML: - out.append(sa.func.ST_AsKML(col).label('geometry_kml')) + out.append(sa.func.ST_AsKML(col, 7).label('geometry_kml')) if details.geometry_output & GeometryFormat.SVG: - out.append(sa.func.ST_AsSVG(col).label('geometry_svg')) + out.append(sa.func.ST_AsSVG(col, 0, 7).label('geometry_svg')) return sql.add_columns(*out) @@ -107,14 +114,14 @@ def _make_interpolation_subquery(table: SaFromClause, inner: SaFromClause, def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn: orexpr: List[SaExpression] = [] if layers & DataLayer.ADDRESS and layers & DataLayer.POI: - orexpr.append(table.c.rank_address.between(1, 30)) + orexpr.append(no_index(table.c.rank_address).between(1, 30)) elif layers & DataLayer.ADDRESS: - orexpr.append(table.c.rank_address.between(1, 29)) - orexpr.append(sa.and_(table.c.rank_address == 30, + orexpr.append(no_index(table.c.rank_address).between(1, 29)) + orexpr.append(sa.and_(no_index(table.c.rank_address) == 30, sa.or_(table.c.housenumber != None, table.c.address.has_key('addr:housename')))) 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: @@ -124,7 +131,7 @@ def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn: if not layers & DataLayer.NATURAL: exclude.extend(('natural', 'water', 'waterway')) orexpr.append(sa.and_(table.c.class_.not_in(tuple(exclude)), - table.c.rank_address == 0)) + no_index(table.c.rank_address) == 0)) else: include = [] if layers & DataLayer.RAILWAY: @@ -132,7 +139,7 @@ def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn: if layers & DataLayer.NATURAL: include.extend(('natural', 'water', 'waterway')) orexpr.append(sa.and_(table.c.class_.in_(tuple(include)), - table.c.rank_address == 0)) + no_index(table.c.rank_address) == 0)) if len(orexpr) == 1: return orexpr[0] @@ -151,7 +158,8 @@ async def _get_placex_housenumbers(conn: SearchConnection, 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)) if details.geometry_output: sql = _add_geometry_columns(sql, t.c.geometry, details) @@ -248,9 +256,20 @@ class NearSearch(AbstractSearch): 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 - 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] @@ -272,30 +291,39 @@ class NearSearch(AbstractSearch): """ table = await conn.get_class_table(*category) - t = conn.t.placex 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. - sql = sql.join(tgeom, t.c.geometry.ST_DWithin(tgeom.c.centroid, 0.01))\ - .order_by(tgeom.c.centroid.ST_Distance(t.c.centroid)) + table = conn.t.placex.alias('inner') + sql = sa.select(table.c.place_id, + sa.func.min(tgeom.c.centroid.ST_Distance(table.c.centroid)) + .label('dist'))\ + .join(tgeom, table.c.geometry.intersects(tgeom.c.centroid.ST_Expand(0.01)))\ + .where(table.c.class_ == category[0])\ + .where(table.c.type == category[1]) else: # Use classtype table. We can afford to use a larger # radius for the lookup. - sql = sql.join(table, t.c.place_id == table.c.place_id)\ - .join(tgeom, - table.c.centroid.ST_CoveredBy( - sa.case((sa.and_(tgeom.c.rank_address < 9, + 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))))\ - .order_by(tgeom.c.centroid.ST_Distance(table.c.centroid)) + 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() - sql = sql.where(t.c.rank_address.between(MIN_RANK_PARAM, MAX_RANK_PARAM)) + t = conn.t.placex + sql = _select_placex(t).add_columns((-inner.c.dist).label('importance'))\ + .join(inner, inner.c.place_id == t.c.place_id)\ + .order_by(inner.c.dist) + + sql = sql.where(no_index(t.c.rank_address).between(MIN_RANK_PARAM, MAX_RANK_PARAM)) if details.countries: sql = sql.where(t.c.country_code.in_(COUNTRIES_PARAM)) if details.excluded: @@ -335,6 +363,8 @@ class PoiSearch(AbstractSearch): # simply search in placex table def _base_query() -> SaSelect: return _select_placex(t) \ + .add_columns((-t.c.centroid.ST_Distance(NEAR_PARAM)) + .label('importance'))\ .where(t.c.linked_place_id == None) \ .where(t.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)) \ .order_by(t.c.centroid.ST_Distance(NEAR_PARAM)) \ @@ -363,6 +393,7 @@ class PoiSearch(AbstractSearch): 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]) @@ -408,6 +439,7 @@ class CountrySearch(AbstractSearch): ccodes = self.countries.values sql = _select_placex(t)\ + .add_columns(t.c.importance)\ .where(t.c.country_code.in_(ccodes))\ .where(t.c.rank_address == 4) @@ -449,7 +481,8 @@ class CountrySearch(AbstractSearch): 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) @@ -465,13 +498,17 @@ class CountrySearch(AbstractSearch): + sa.func.coalesce(t.c.derived_name, sa.cast('', type_=conn.t.types.Composite)) ).label('name'), - sub.c.centroid)\ + sub.c.centroid, sub.c.bbox)\ .join(sub, t.c.country_code == sub.c.country_code) + if details.geometry_output: + sql = _add_geometry_columns(sql, sub.c.centroid, details) + results = nres.SearchResults() for row in await conn.execute(sql, _details_to_bind_params(details)): result = nres.create_from_country_row(row, nres.SearchResult) assert result + result.bbox = Bbox.from_wkb(row.bbox) result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0) results.append(result) @@ -513,8 +550,8 @@ class PostcodeSearch(AbstractSearch): sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM)) else: penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0), - (t.c.geometry.intersects(VIEWBOX2_PARAM), 1.0), - else_=2.0) + (t.c.geometry.intersects(VIEWBOX2_PARAM), 0.5), + else_=1.0) if details.near is not None: if details.near_radius is not None: @@ -579,15 +616,7 @@ class PlaceSearch(AbstractSearch): tsearch = conn.t.search_name 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.admin_level, - 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)) + _select_placex(t).where(t.c.place_id == tsearch.c.place_id)) if details.geometry_output: @@ -635,8 +664,8 @@ class PlaceSearch(AbstractSearch): 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), - else_=2.0) + (t.c.geometry.intersects(VIEWBOX2_PARAM), 0.5), + else_=1.0) if details.near is not None: if details.near_radius is not None: @@ -737,9 +766,6 @@ class PlaceSearch(AbstractSearch): assert result result.bbox = Bbox.from_wkb(row.bbox) result.accuracy = row.accuracy - if not details.excluded or not result.place_id in details.excluded: - results.append(result) - if self.housenumbers and row.rank_address < 30: if row.placex_hnr: subs = _get_placex_housenumbers(conn, row.placex_hnr, details) @@ -759,6 +785,14 @@ class PlaceSearch(AbstractSearch): 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