Hi,
The recent merge of the new raster type in
https://github.com/apache/sedona/pull/773 opens up the possibility of
adapting the geotiff data source to write rasters. To achieve this, we can
modify the data source to include two modes - classic (the current mode)
and raster. The mode selection can be automatic, with the data source
switching to raster mode if the data frame does not meet the requirements
of classic mode.
In raster mode, the writer would require a raster column and an optional
filename column. If a filename is not provided, it could be generated using
the upper-left corner of the envelope and a uuid. For instance,
"ul_6490550_1338130_e89b4567-e89b-12d3-a456-426614174000.tiff". The
challenge is to inform the writer about the relevant columns to use.
Option 1. Use columns with specific names like classic mode. Columns should
be named "filename" and "raster". If those are not found in the data frame
the writer will throw an exception.
Option 2. If there is exactly one column of type raster use that,
regardless of it's name. Add a parameter to set the filename column.
This would work for any data frame containing a raster column:
df.write.format("geotiff").save("DESTINATION_PATH")
If you want to provide a filename:
df.write.format("geotiff").option("filenameColumn",
"my_filename_column").save("DESTINATION_PATH")
Option 3. Other?
What are you're thoughts?
