Add a special index that contains the place nodes buffered by their
respective area according to their search rank. This replaces the
maximum area search for place nodes and reduces drastically the number
of place nodes that need to be retrieved.
The values in the raster are already normalized between 0 and 2**16,
so a simple conversion to [0, 1] will do.
Check for existance of secondary_importance table statically when
creating the SQL function. For that to work importance tables need
to be created before the functions.
Adds partial indexes for all geometry queries used during import.
A full index is not necessary anymore at that point. Still create
the index afterwards for use in queries.
Also adds documentation for all indexes on where they are used.
The index over geometry_sectors are mainly used for ordering
the places which need indexing. That means they function effectively
as a TODO list. Consolodate them so that they always only contain
the places which are still to do. Also add the appropriate index
for the boundary indexing phase.
Nodes on an interpolation now only get the address tags of
interpolations and then compute their own parent from that. They no
longer inherit the parent directly.
Point-in-polygon queries are much faster with a SP-GIST geometry
index, so use that for the index used to check if a housenumber
is inside a building.
Only available with Postgis 3. There is an automatic fallback to
GIST for Postgis 2.
Add a jsonb column to the placex and location_property_osmline tables
which can be used by the installed tokenizer as required. No other
part of the software will use or otherwise rely on this column.
Creating and populating the word table is now the responsibility
of the tokenizer.
The get_maxwordfreq() function has been replaced with a
simple template parameter to the SQL during function installation.
The number is taken from the parameter list in the database to
ensure that it is not changed after installation.
These tables have never been actively maintained and the code is
completely untested. With the upcomming changes, it is unlikely
that the code remains usable.
This removes the aux tables and all code that references them.
Instead of normalising the names simply compare them in lower
case. This removes the dependency on the tokenizer for
linking boundaries and nodes. When looking up the linked places
by place type also allow that one name is simply contained in the
other. This catches the frequent case where one of the names has
an addendum (e.g. Newport vs. City of Newport).
Drops the special index for the name lookup and insted relies
on a slightly extended version of the geometry index used for
reverse lookup. Saves around 100MB on a planet.
Also switches to jinja-based preprocessing, which allows to
simplify the SQL files. Use 'if not exists' where possible
so that the step can be rerun to fix missing indexes.
