self.buffer = io.StringIO()
+ def _timestamp(self) -> None:
+ self._write(f'[{dt.datetime.now()}]\n')
+
+
def get_buffer(self) -> str:
return self.buffer.getvalue()
def section(self, heading: str) -> None:
+ self._timestamp()
self._write(f"\n# {heading}\n\n")
def result_dump(self, heading: str, results: Iterator[Tuple[Any, Any]]) -> None:
+ self._timestamp()
self._write(f'{heading}:\n')
total = 0
for rank, res in results:
def sql(self, conn: AsyncConnection, statement: 'sa.Executable',
params: Union[Mapping[str, Any], Sequence[Mapping[str, Any]], None]) -> None:
+ self._timestamp()
sqlstr = '\n| '.join(textwrap.wrap(self.format_sql(conn, statement, params), width=78))
self._write(f"| {sqlstr}\n\n")
#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.
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:
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:
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]
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))
+ 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: