Reading compressed data with Spark using unknown file extensions
This post could also be called Reading .gz.tmp files with Spark. At Socialmetrix we have several pipelines writing logs to AWS S3, sometimes Apache Flume fails on the last phase to rename the final archive from .gz.tmp to .gz, therefore those files are unavailable to be read by SparkContext.textFile API. This post presents our workaround to process those files.