X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/49e0d83d5d8e3008373ae99ae3f37788f4b9a80a..44da684d1dfc57c085f6544d615374e97d8e96db:/nominatim/api/search/db_searches.py diff --git a/nominatim/api/search/db_searches.py b/nominatim/api/search/db_searches.py index cea19c85..1f7eb009 100644 --- a/nominatim/api/search/db_searches.py +++ b/nominatim/api/search/db_searches.py @@ -7,14 +7,14 @@ """ Implementation of the acutal database accesses for forward search. """ -from typing import List, Tuple, AsyncIterator, Dict, Any +from typing import List, Tuple, AsyncIterator, Dict, Any, Callable import abc import sqlalchemy as sa from sqlalchemy.dialects.postgresql import ARRAY, array_agg from nominatim.typing import SaFromClause, SaScalarSelect, SaColumn, \ - SaExpression, SaSelect, SaRow, SaBind + 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 @@ -46,9 +46,14 @@ 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') -EXCLUDED_PARAM: SaBind = sa.bindparam('excluded') 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, @@ -60,10 +65,7 @@ def _select_placex(t: SaFromClause) -> SaSelect: 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: @@ -96,7 +98,7 @@ def _make_interpolation_subquery(table: SaFromClause, inner: SaFromClause, for n in numerals))) if details.excluded: - sql = sql.where(table.c.place_id.not_in(EXCLUDED_PARAM)) + sql = sql.where(_exclude_places(table)) return sql.scalar_subquery() @@ -109,7 +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')))) @@ -150,7 +152,8 @@ async def _get_placex_housenumbers(conn: SearchConnection, 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) @@ -268,7 +271,7 @@ class NearSearch(AbstractSearch): """ 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))\ @@ -284,17 +287,18 @@ class NearSearch(AbstractSearch): # radius for the lookup. sql = sql.join(table, t.c.place_id == table.c.place_id)\ .join(tgeom, - sa.case((sa.and_(tgeom.c.rank_address < 9, - tgeom.c.geometry.is_area()), - tgeom.c.geometry.ST_Contains(table.c.centroid)), - else_ = tgeom.c.centroid.ST_DWithin(table.c.centroid, 0.05)))\ + 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)) sql = sql.where(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: - sql = sql.where(t.c.place_id.not_in(EXCLUDED_PARAM)) + sql = sql.where(_exclude_places(t)) if details.layers is not None: sql = sql.where(_filter_by_layer(t, details.layers)) @@ -313,7 +317,7 @@ class PoiSearch(AbstractSearch): """ def __init__(self, sdata: SearchData) -> None: super().__init__(sdata.penalty) - self.categories = sdata.qualifiers + self.qualifiers = sdata.qualifiers self.countries = sdata.countries @@ -328,10 +332,22 @@ class PoiSearch(AbstractSearch): if details.near and details.near_radius is not None and details.near_radius < 0.2: # simply search in placex table - sql = _select_placex(t) \ - .where(t.c.linked_place_id == None) \ - .where(t.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)) \ - .order_by(t.c.centroid.ST_Distance(NEAR_PARAM)) + def _base_query() -> SaSelect: + return _select_placex(t) \ + .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)) @@ -339,19 +355,10 @@ class PoiSearch(AbstractSearch): if details.viewbox is not None and details.bounded_viewbox: sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM)) - classtype = self.categories.values - if len(classtype) == 1: - sql = sql.where(t.c.class_ == classtype[0][0]) \ - .where(t.c.type == classtype[0][1]) - else: - sql = sql.where(sa.or_(*(sa.and_(t.c.class_ == cls, t.c.type == typ) - for cls, typ in classtype))) - - sql = sql.limit(LIMIT_PARAM) rows.extend(await conn.execute(sql, bind_params)) else: # use the class type tables - 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)\ @@ -377,7 +384,7 @@ class PoiSearch(AbstractSearch): for row in rows: result = nres.create_from_placex_row(row, nres.SearchResult) assert result - result.accuracy = self.penalty + self.categories.get_penalty((row.class_, row.type)) + result.accuracy = self.penalty + self.qualifiers.get_penalty((row.class_, row.type)) result.bbox = Bbox.from_wkb(row.bbox) results.append(result) @@ -398,26 +405,29 @@ class CountrySearch(AbstractSearch): """ t = conn.t.placex + ccodes = self.countries.values 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) - 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: - sql = sql.where(t.c.place_id.not_in(EXCLUDED_PARAM)) + sql = sql.where(_exclude_places(t)) if details.viewbox is not None and details.bounded_viewbox: - sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM)) + sql = sql.where(lambda: t.c.geometry.intersects(VIEWBOX_PARAM)) if details.near is not None and details.near_radius is not None: - sql = sql.where(t.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)) + sql = sql.where(_within_near(t)) results = nres.SearchResults() for row in await conn.execute(sql, _details_to_bind_params(details)): result = nres.create_from_placex_row(row, nres.SearchResult) assert result result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0) + result.bbox = Bbox.from_wkb(row.bbox) results.append(result) return results or await self.lookup_in_country_table(conn, details) @@ -445,7 +455,7 @@ class CountrySearch(AbstractSearch): if details.viewbox is not None and details.bounded_viewbox: sql = sql.where(tgrid.c.geometry.intersects(VIEWBOX_PARAM)) if details.near is not None and details.near_radius is not None: - sql = sql.where(tgrid.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)) + sql = sql.where(_within_near(tgrid)) sub = sql.subquery('grid') @@ -484,14 +494,16 @@ class PostcodeSearch(AbstractSearch): """ 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'))\ - .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) @@ -505,14 +517,14 @@ class PostcodeSearch(AbstractSearch): if details.near is not None: if details.near_radius is not None: - sql = sql.where(t.c.geometry.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)) + sql = sql.where(_within_near(t)) sql = sql.order_by(t.c.geometry.ST_Distance(NEAR_PARAM)) if self.countries: sql = sql.where(t.c.country_code.in_(self.countries.values)) if details.excluded: - sql = sql.where(t.c.place_id.not_in(EXCLUDED_PARAM)) + sql = sql.where(_exclude_places(t)) if self.lookups: assert len(self.lookups) == 1 @@ -562,21 +574,23 @@ class PlaceSearch(AbstractSearch): details: SearchDetails) -> nres.SearchResults: """ Find results for the search in the database. """ - t = conn.t.placex.alias('p') - tsearch = conn.t.search_name.alias('s') + t = conn.t.placex + tsearch = conn.t.search_name - sql = sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name, - t.c.class_, t.c.type, - t.c.address, t.c.extratags, - t.c.housenumber, t.c.postcode, t.c.country_code, - t.c.wikipedia, - t.c.parent_place_id, t.c.rank_address, t.c.rank_search, - t.c.centroid, - t.c.geometry.ST_Expand(0).label('bbox'))\ - .where(t.c.place_id == tsearch.c.place_id) + sql: SaLambdaSelect = sa.lambda_stmt(lambda: + 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: @@ -592,23 +606,32 @@ 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 + pcs = self.postcodes.values 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(tpc.c.postcode.in_(self.postcodes.values))\ + .where(tpc.c.postcode.in_(pcs))\ .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: - sql = sql.where(tsearch.c.centroid.intersects(VIEWBOX_PARAM)) + if details.viewbox.area < 0.2: + sql = sql.where(tsearch.c.centroid.intersects(VIEWBOX_PARAM)) + else: + sql = sql.where(tsearch.c.centroid.ST_Intersects_no_index(VIEWBOX_PARAM)) + elif self.expected_count >= 10000: + if details.viewbox.area < 0.5: + sql = sql.where(tsearch.c.centroid.intersects(VIEWBOX2_PARAM)) + else: + sql = sql.where(tsearch.c.centroid.ST_Intersects_no_index(VIEWBOX2_PARAM)) else: penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0), (t.c.geometry.intersects(VIEWBOX2_PARAM), 1.0), @@ -616,24 +639,33 @@ class PlaceSearch(AbstractSearch): if details.near is not None: if details.near_radius is not None: - sql = sql.where(tsearch.c.centroid.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)) - sql = sql.add_columns(-tsearch.c.centroid.ST_Distance(NEAR_PARAM) + if details.near_radius < 0.1: + sql = sql.where(tsearch.c.centroid.ST_DWithin(NEAR_PARAM, NEAR_RADIUS_PARAM)) + else: + sql = sql.where(tsearch.c.centroid.ST_DWithin_no_index(NEAR_PARAM, + NEAR_RADIUS_PARAM)) + sql = sql.add_columns((-tsearch.c.centroid.ST_Distance(NEAR_PARAM)) .label('importance')) sql = sql.order_by(sa.desc(sa.text('importance'))) else: - 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" sql = sql.where(tsearch.c.address_rank.between(16, 30))\ .where(sa.or_(tsearch.c.address_rank < 30, - t.c.housenumber.op('~*')(hnr_regexp))) + t.c.housenumber.op('~*')(hnr_regexp))) # Cross check for housenumbers, need to do that on a rather large # set. Worst case there are 40.000 main streets in OSM. @@ -649,13 +681,14 @@ class PlaceSearch(AbstractSearch): .where(thnr.c.indexed_status == 0) if details.excluded: - place_sql = place_sql.where(thnr.c.place_id.not_in(EXCLUDED_PARAM)) + place_sql = place_sql.where(thnr.c.place_id.not_in(sa.bindparam('excluded'))) if self.qualifiers: place_sql = place_sql.where(self.qualifiers.sql_restrict(thnr)) - 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 @@ -667,8 +700,8 @@ class PlaceSearch(AbstractSearch): 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'), @@ -685,7 +718,7 @@ class PlaceSearch(AbstractSearch): if self.qualifiers: sql = sql.where(self.qualifiers.sql_restrict(t)) if details.excluded: - sql = sql.where(tsearch.c.place_id.not_in(EXCLUDED_PARAM)) + sql = sql.where(_exclude_places(tsearch)) if details.min_rank > 0: sql = sql.where(sa.or_(tsearch.c.address_rank >= MIN_RANK_PARAM, tsearch.c.search_rank >= MIN_RANK_PARAM))