Hi,
I also remembered that jml reader was quite slow compared with shp, but
my last tests show me only slight differences.
(Maybe shapefile reader has slowed down with my last commits - attempts
to make it more robust with shp coming from esri or qgis)
Now, reading a big file (888000 features) with complex polygons and 3
attributes is just a bit longer with jml (38 vs 32s)
For a file containing 1M of simple features (squares), it is even faster
with jml (14 vs 23). Reading more attributes seems longer with jml.
I would say :
reading complex geometries is much longer with jml
reading attributes is longer with jml
reading simple geometries is longer with shx/shp
Jukka, have you examples where jml is much longer that shp ?
Michaël
Le 28/07/2017 à 17:25, edgar.sol...@web.de a écrit :
On 28.07.2017 17:06, Rahkonen Jukka (MML) wrote:
Hi,
I noticed with a dataset having 1.2 million features with lots of attributes
that OpenJUMP is rather slow in parsing its own native JML format. It takes
about 30 minutes to open the file. Shapefiles are much faster but they do not
suit me because long strings are truncated. Can the hardcore developers guess
what is the bottle neck with JML/XML parsing and if there could be some place
for improvements?
hi Jukka,
could you provide said dataset privately?
does it make a difference when you cut down the number of attributes?
..ede
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