Hi
We have been looking into this problem some more.
So it seems we can reproduce this by using postgis raster tiles of 100 x
100.
raster2pgsql cmd was:
raster2pgsql bigtiff.tif -C -r -s 27700 -t 100x100 -P -I -M -Y
| psql
The effect seems more pronounced using GDAL 2.2 (trunk) vs GDAL 2.1
Wi
Le mercredi 20 juillet 2016 12:12:59, jramm a écrit :
> I am seeing a continuous, linear memory increase when reading sequential
> windows of a large postgis dataset. This is the same regardless of my
> GDAL_CACHEMAX settings
> If I run he same code on an equivalent GTiff dataset, I do not see the
I am seeing a continuous, linear memory increase when reading sequential
windows of a large postgis dataset. This is the same regardless of my
GDAL_CACHEMAX settings
If I run he same code on an equivalent GTiff dataset, I do not see the same
increase in memory.
I can see that the postgis dataset
