arc.write dataframe chunking?

[WyattArnold]

I have a very large data.frame in R (over 13m rows with 16 variables). Attempts at using arc.write to output the data.frame as a new table object in a geodatabase have repeatedly failed for what I guess to be memory constraints. How can the arc.write method be used to chunk this large table into the geodatabase so as not to exceed memory limits?

[Anonymous User]

Hello Wyatt,

You can use the pattern below to read and write chunks for large rasters. In this scenario you read a large raster (call it raster_file), process it and write it in chunks to a new raster (let's call it r_new)

r_read <- arc.raster(arc.open(raster_file))

#Define Blank Raster to Write (with the same extent and discretization as the original stored in object r_read)

r2 = arc.raster(NULL, path=tempfile("r_new", fileext=".img"), dim=dim(r), pixel_type=r$pixel_type, nodata=r$nodata, extent=r$extent,sr=r$sr)

#Loop Through the Rows of the Large Raster (assuming you can hold one row in memory)
for (i in 1L:r$nrow)

{

v <- r$pixel_block(ul_y = i - 1L, nrow = 1L)

r2$write_pixel_block(v * 1.5, ul_y = i - 1L, nrow = 1L, ncol = r$ncol)

}

#Write the Predesignated Raster File to Disk

r2$commit()