Having the same wikidata is a strong indicator that the same place
is meant. There are some assignment errors where the wikidata does
not link to the object itself but to something that mentions the
place. To reduce errors there, prefer same name.
The admin_centre role is for the seat of government which is not
the same as the administrative entity. This is mostly used
correctly these days, so avoid matching by that role.
Administrative boundaries that do not figure in the address
should still be able to take part in the name matching.
Use the rank_search for comparison in this case.
This fixes a regression where the area of the lower ranking
area was not computed correctly.
Also excludes postcodes areas now as they have their own
hierarchy.
When using a linked place as centroid for a boundary, check
first that it is really within the area. If it is outside,
just keep the computed centroid because a centroid outside the
area just causes havok.
Fixes#1352.
If a boundary relation has no label member preferably
link against a place node with the same place type.
Also inherit the rank_address from the place node (only
has an effect when linking via lable member or place type).
The function only ever returns one result of which only the
place_id is used. So simplify it to return a single place_id
only (or NULL if none is found).
Also fix typo in function name.
The function only ever returns one result of which only the
place_id is used. So simplify it to return a single place_id
only (or NULL if none is found). Rename funciton to avoid
conflicts when updating an existing database.
Instead of unconditionally parenting them to a street, the
larger areas get a parent area that contains them. To keep
things computationally light-weight, only use the centroid and
bbox to determine if an area is contained.
Requires renaming of parenting functions because renaming
a parameter of the function causes issues when updating the
function (it requires a manual delete, which I'd like to
avoid).
Normally ST_Covers() should include a bbox index use,
so adding a bbox where clause is not really necessary.
However, the query planner messes up and uses a parallel
index search with a second index instead of exclusively
running on the geometry index, when the bbox part is
missing.
When --drop is given, we can remove all node geometry information
already after the import with osm2pgsql. Also drop all unnecessary
tables before creating the final indices.
The _async parameter name is only supported since psycopg 2.7.
However, async is a keyword in Python >= 3.7, so using this
gives us a syntax error. Working around this by defining the
parameters in a dict and handing that into the connect function.
