A list of available settings to customize django-raster’s behavior.
Asynchronous raster parsing¶
Determines whether to use celery tasks for parsing raster layers. It is highly recommended to configure celery, as raster parsing can take quite a while and the parsing through normal web requests will often timed out, even for medium sized raster.
RASTER_USE_CELERY = False
Parser working directory¶
Use this to specify a custom working directory used by the django-raster package when parsing raster files. This is where intermediate files are stored. Defaults to the normal temporary directory of the machine.
RASTER_WORKDIR = None
All in one parse task¶
For some applications where the size of the rasters is small, the distributed
raster parsing might have more overhead than gain. The distributed parsing can
be disactivated with the following setting. If it is set to
are parsed in single celery tasks.
RASTER_PARSE_SINGLE_TASK = True
Parse Batch Size¶
During parsing of a raster, tiles are written to the database in batches, using
bulk_create method. The size of each batch in the loop can be controlled
by using the setting below. Defaults to 500 tiles.
RASTER_BATCH_STEP_SIZE = 500
S3 Endpoint URL¶
Set the S3 compatible endpoint used when retrieving raster tile sources from S3.
RASTER_S3_ENDPOINT_URL = "http://localhost:4572"