Spark SQL - difference between gzip vs snappy vs lzo compression formats
I am trying to use Spark SQL to write parquet file. By default Spark SQL supports gzip, but it also supports other compression formats like snappy and lzo. What is the difference between these compression formats and which one is best to work with Hive loading.
Just try them on your data. lzo and snappy are fast compressors and very fast decompressors, but with less compression, as compared to gzip which compresses better, but is a little slower.
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