This is needed for pedestrian areas mapped as multipolygons
and consequently as relations. The lookup in placex guarantees
that the referenced OSM object is indeed a street.
Fixes#2669.
The inherited housenumber is needed for display output. We can't
take the one from the housenumber field because it is already
normalized. Remove the inherited address only when reindexing.
Fixes#2683.
For point features, keep using the distance to centroid.
For area features, add a tie breaker for the case where the
center point falls on the boundary.
Instead of computing the distance to the centroid of the area
compute the distance of the area to the centroid of the feature.
This means we give preference to the area that covers the centroid.
It's still a heuristics but one that is a bit less random.
This keeps the names tracable and ensures that all names are searchable
when they differ. Do not keep names when they are exactly the same
to save some space. Linked names are cleaned out before relinking.
An expression of the form 'SELECT (func()).*' will be expanded
by Postgresql _before_ execution with the result that the function
will be called as many times as there are fields in the record.
This is not what we want. The function call needs to go into
the FROM clause instead.
This lays the groundwork for adding variants for housenumbers.
When analysis is enabled, then the 'word' field in the word table
is used as usual, so that variants can be created. There will be
only one analyser allowed which must have the fixed name
'@housenumber'.
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.
Use the same update mechanism as for updates on the interpolations
themselves. Updates must solely happen in place_insert as this is
the place where actual changes of the data happen.
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.
Adds class, type, country and rank to the exported information
and removes the rather odd hack for countries. Whether a place
represents a country boundary can now be computed by the tokenizer.
When matching address parts from addr:* tags against place names,
the address names where so far converted to full names and compared
those to the place names. This can become problematic with the new
ICU tokenizer once we introduce creation of different variants
depending on the place name context. It wouldn't be clear which
variant to produce to get a match, so we would have to create all of
them. To work around this issue, switch to using the partial terms
for matching. This introduces a larger fuzziness between matches but
that shouldn't be a problem because matching is always geographically
restricted.
The search terms created for address parts have a different problem:
they are already created before we even know if they are going to be
used. This can lead to spurious entries in the word table, which slows
down searching. This problem can also be circumvented by using only
partial terms for the search terms. In terms of searching that means
that the address terms would not get the full-word boost, but given
that the case where an address part does not exist as an OSM object
should be the exception, this is likely acceptable.
Instead of requesting the match tokens from the tokenizer
when looking for parent streets/places and address parts,
hand in the saved tokens and ask if they match. This gives
the tokenizer more freedom to decide how name matching
should be done.
A boolean check for dynamic changes of address parts is not
sufficient. The order of choice should be:
1. an addr:* part matches the name
2. the address part surrounds the object
3. the address part was declared as isaddress
The implementation uses a slightly different ordering
to avoid geometry checks unless strictly necessary (isaddress
is false and no matching address).
See #2446.
Linked places may bring in extra names. These names need to be
processed by the tokenizer. That means that the linking needs
to be done before the data is handed to the tokenizer. Move finding
the linked place into the preparation stage and update the name
fields. Everything else is still done in the indexing stage.
The new icu tokenizer is now no longer compatible with the old
legacy tokenizer in terms of data structures. Therefore there
is also no longer a need to refer to the legacy tokenizer in the
name.
Postgresql is very bad at creating statistics for jsonb
columns. The result is that the query planer tends to
use JIT for queries with a where over 'info' even when
there is an index.
Requires a second wrapper class for the word table with the new
layout. This class is interface-compatible, so that later when
the ICU tokenizer becomes the default, all tests that depend on
behaviour of the default tokenizer can be switched to the other
wrapper.
The table now directly reflects the different token types.
Extra information is saved in a json structure that may be
dynamically extended in the future without affecting the
table layout.
This adds precomputation of abbreviated terms for names and removes
abbreviation of terms in the query. Basic import works but still
needs some thorough testing as well as speed improvements during
import.
New dependency for python library datrie.
