| Commit message (Collapse) | Author | Age | Files |
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This avoids starting multiple imports in parallel. Some layers, such as
Skogsstyrelsen's, are quite large and filtering/importing causes rather
high load.
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Cf. for instance
$ ogrinfo ./LST.vbk_projekteringsomraden.shp -sql "SELECT * FROM \"LST.vbk_projekteringsomraden\" WHERE OMRID = '1452-V-008'"
[…]
Layer name: LST.vbk_projekteringsomraden
Geometry: Polygon
Feature Count: 1
Extent: (-907106.000000, 727.000000) - (914131.738200, 7573766.311200)
Layer SRS WKT:
PROJCRS["SWEREF99 TM",
[…]
OGRFeature(LST.vbk_projekteringsomraden):2043
OMRID (String) = 1452-V-008
PROJNAMN (String) = Grimsås Äspås
ANTALVERK (Integer64) = 0
AntalejXY (Integer64) = (null)
CALPROD (Real) = 0.000000000000000
PBYGGSTART (String) = (null)
PDRIFT (String) = (null)
Andringsan (String) = (null)
UnderByggn (String) = (null)
ORGNAMN (String) = Kraftö AB
ORGNR (String) = 556708-7456
EJAKTUELL (String) = Yes
KOMNAMN (String) = Tranemo
LANSNAMN (String) = Västra Götalands l
EL_NAMN (String) = (null)
Raderat (String) = No
ArendeStat (String) = (null)
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The PostgreSQL driver doesn't support AlternativeName, for instance.
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This is the case for the PGDump driver, for instance.
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OGRFieldDefn: add GetComment() / SetComment() methods were added in OGR
3.8.0, cf. https://github.com/OSGeo/gdal/blob/master/NEWS.md#core-3 .
Don't comment out TZ on field definitions. Instead we check the
GDAL/OGR version and ignore TZ on field definitions if the OGR version
is too old.
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OGRFieldDefn: add GetComment() / SetComment() methods were added in OGR
3.7.0, cf. https://github.com/OSGeo/gdal/blob/master/NEWS.md#core-5 .
Don't comment out comments on field definitions. Instead we check the
GDAL/OGR version and ignore comments on field definitions if the OGR
version is too old.
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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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And set them to NULL.
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The previous default map was [-1] * n i.e., all source fields were
ignored.
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This enables proper filtering by level etc. (incl. journald coloring).
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(Commented out for now since Bookworm has only GDAL v3.6.)
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Despite using gdal.UseExceptions() a failed call doesn't raise an
exception, so we need to check the return value to avoid missing
features.
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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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The configured extent is always expressed in the destination SRS, so it
needs to be transformed into the source SRS. Like apps/ogr2ogr_lib.cpp,
we segmentize it to make sure it is sufficiently densified.
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(Commented out in config.yml for now since Bookworm has only v3.6.)
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And getFieldSubTypeCode() to parseSubFieldType().
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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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