Rukmani Gopalan and Apostolos Lerios show how to perform image processing using U-SQL:
We have published C# libraries that supply UDOs and UDFs for processing images with U-SQL in our GitHub site. In this section, we introduce these UDOs and UDFs and, in the next section, we use them within a U-SQL walkthrough to operate on images.
The basic flow behind processing images in U-SQL has three stages:
Use the custom UDO extractor ImageExtractor to read a (JPEG or non-JPEG) image file and return the image data as a byte[] column value which contains the same exact image as the file in an (always) JPEG representation. Please note that there is a current limitation in U-SQL that a row cannot exceed a size of 4 MB, so you will run into issues if your image size is greater than 4 MB.
Use the image processing UDFs to manipulate this byte[] (the UDFs support JPEG and non-JPEG representations within this byte[] despite the previous step always producing a JPEG representation). For example, one UDF extracts metadata from an image to produce textual or numeric data. More interesting UDFs derive an output image from an input image; that output represents the visually transformed input (e.g. rotated or scaled/resized), also stored as a byte[] containing an (always) JPEG representation of the output.
Use the custom UDO outputter ImageOutputter to writes each byte[] to a JPEG image file so that we can view the output images of the aforementioned UDFs.
The major value proposition to me for U-SQL is “doing stuff SQL can’t do very well.” This is one of those cases.