streaming - Spark: How to read & write temporary files? -


i need write spark app uses temporary files.

i need download many many large files, read them legacy code, processing, delete file, , write results database.

the files on s3 , take long time download. however, can many @ once, want download large number in parallel. legacy code reads file system.

i think can not avoid creating temporary files. rules spark code reading , writing local files?

this must common issue, haven't found threads or docs talk it. can give me pointer?

many p


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