| Commit message (Collapse) | Author | Age | Files |
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This is useful to replace a YYYYMMDD formatted date with YYYY-MM-DD.
The target field can then be set to not-nullable and its type set to
Date, as the OGR_F_SetField*() with take care of the conversion.
We could also do that via an SQL query, but in our case the sources are
not proper RDBMS so SQL is emulated anyway.
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There are a couple (15) of NULL AnmaldHa's, all from Sep 1, 2005 in
Borås, so we don't care about these.
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And set them to NULL.
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Not sure why I thought there was duplicates but I must have done
something wrong as there are none in the 667034+223463+214082+
72656 = 1177234 features found after removing the spatial filter.
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(Commented out for now since Bookworm has only GDAL v3.6.)
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Tighten column width and replace fixed-width numerics with single
precisions floats.
Also, align column names with the documented ones.
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The extent is expressed in config['SRS'] in traditional GIS order
(easting/northing ordered: minX, minY, maxX, maxY), but the destination
layers might be pre-existing and use other SRS:es or mapping strategy.
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(Commented out in config.yml for now since Bookworm has only v3.6.)
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We're TRUNCATE'ing the output layers (tables) at every run and aren't
reseting the sequences so they would soon overflow 32-bits FIDs
("sks:UtfordAvverk" has almost 300k features within the extent…).
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There is still a few things to do (such as reprojection and geometry
changes) but it's mostly working.
We roll out our own ogr2ogr/GDALVectorTranslate()-like function version
because GDALVectorTranslate() insists in calling StartTransaction()
https://github.com/OSGeo/gdal/issues/3403 while we want a single
transaction for the entire desination layer, including truncation,
source imports, and metadata changes.
Surprisingly our version is not much slower than the C++ one. Importing
the 157446 (of 667034) features from sksUtfordAvverk-2000-2015.shp takes
14.3s while
ogr2ogr -f PostgreSQL \
-doo ACTIVE_SCHEMA=postgis \
--config PG_USE_COPY YES \
--config OGR_TRUNCATE YES \
-append \
-fieldmap "0,-1,-1,-1,-1,1,2,3,4,5,6,7,8,9,10,11,12,13" \
-nlt MULTIPOLYGON -nlt PROMOTE_TO_MULTI \
-gt unlimited \
-spat 110720 6927136 1159296 7975712 \
-nln "sks:UtfordAvverk" \
PG:"dbname='webmap' user='webmap_import'" \
/tmp/x/sksUtfordAvverk-2000-2015.shp \
sksUtfordAvverk-2000-2015
takes 14s.
Merely opening /tmp/x/sksUtfordAvverk-2000-2015.shp and looping through
its (extent-filtered) features results in a runtime of 4.3s.
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We'll need that for layer creation (description, fields, creation
options, etc.).
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Unfortunately SGU/Bergsstaten doesn't offer layer files to download, but
it has an online webmap (WMS) at https://apps.sgu.se/kartvisare/kartvisare-mineralrattigheter.html
so we add a dedicated module to probe and fetch features from it.
Double checked that the resulting combination of GeoJSON files does not
result in data loss compared to the previous (private) script:
sort_features() { jq -S '.features |= sort_by(.properties.Name, .properties.Layer, .properties.Area)' }
diff -u --color=auto \
<(ogr2ogr -f GeoJSON -lco COORDINATE_PRECISION=2 /vsistdout/ $dir/Mineralrättigheter.gpkg \
SE.GOV.SGU.MRR.BEARBETNINGSKONCESSIONER_APPLIED_VY | jq '.name = "MRR:" + .name' | sort_features) \
<(ogr2ogr -f GeoJSON -lco COORDINATE_PRECISION=2 -nlt MULTIPOLYGON -nlt PROMOTE_TO_MULTI \
/vsistdout/ mrr/bearbetningskoncessioner_applied.geojson | sort_features)
(and similar for other layers).
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Instead of using a dedicated executable. There is too much code
duplicate otherwise.
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