Opened 6 years ago
Last modified 6 years ago
#29989 closed Bug
Geodjango running through memory — at Version 2
Reported by: | Taylor | Owned by: | nobody |
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Component: | GIS | Version: | 2.1 |
Severity: | Normal | Keywords: | raster, geodjango, postgis |
Cc: | Triage Stage: | Unreviewed | |
Has patch: | no | Needs documentation: | no |
Needs tests: | no | Patch needs improvement: | no |
Easy pickings: | no | UI/UX: | no |
Description (last modified by )
I have been trying to upload a raser to my postgis backend and keep running into
django.db.utils.OperationalError: cannot allocate memory for output buffer
I try to upload the file in the django shell using the following:
raster = GDALRaster('rasters/data/my_image.tif', write=True) r = RastModel(name="Foo", image=raster) r.save()
The image is only about a gb and I have plenty of ram to handle it. When I save the raster it runs through almost all 32gb of ram and then throws the error. From all the docs and posts I have seen it appears that I am uploading the raster correctly so I am assuming there is a bug somewhere.
>>> rast = GDALRaster('rasters/data/raw_tempe.tif', write=True) >>> r = Rast(name='Test', image=rast) >>> r.save() Traceback (most recent call last): File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/backends/utils.py", line 85, in _execute return self.cursor.execute(sql, params) psycopg2.OperationalError: cannot allocate memory for output buffer The above exception was the direct cause of the following exception: Traceback (most recent call last): File "<console>", line 1, in <module> File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/models/base.py", line 718, in save force_update=force_update, update_fields=update_fields) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/models/base.py", line 748, in save_base updated = self._save_table(raw, cls, force_insert, force_update, using, update_fields) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/models/base.py", line 831, in _save_table result = self._do_insert(cls._base_manager, using, fields, update_pk, raw) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/models/base.py", line 869, in _do_insert using=using, raw=raw) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/models/manager.py", line 82, in manager_method return getattr(self.get_queryset(), name)(*args, **kwargs) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/models/query.py", line 1136, in _insert return query.get_compiler(using=using).execute_sql(return_id) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/models/sql/compiler.py", line 1289, in execute_sql cursor.execute(sql, params) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/backends/utils.py", line 100, in execute return super().execute(sql, params) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/backends/utils.py", line 68, in execute return self._execute_with_wrappers(sql, params, many=False, executor=self._execute) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/backends/utils.py", line 77, in _execute_with_wrappers return executor(sql, params, many, context) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/backends/utils.py", line 85, in _execute return self.cursor.execute(sql, params) File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/utils.py", line 89, in __exit__ raise dj_exc_value.with_traceback(traceback) from exc_value File "/mnt/f/Projects/gis322/env/lib/python3.6/site-packages/django/db/backends/utils.py", line 85, in _execute return self.cursor.execute(sql, params) django.db.utils.OperationalError: cannot allocate memory for output buffer
Change History (2)
comment:1 by , 6 years ago
comment:2 by , 6 years ago
Description: | modified (diff) |
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Please provide a full traceback so we can determine in which phase the process runs out of memory. I assume it's happening at on the
save()
call?Also while I'm not that familiar with GDAL rasters I know that TIFF images can be heavily compressed so it's possible that even if the compressed file is only 1GB it could be way larger uncompressed.