Github user squito commented on the pull request:
https://github.com/apache/spark/pull/7004#issuecomment-121438591
Thanks for changing the codec @JDrit but unfortunately I think Snappy is
the one bad choice for a hard-coded compression codec, because it depends on
native libs. A user would be really surprised if they had specifically turned
off snappy compression but got an error from this. Can we either (a) hardcode
to something that isn't dependent on a native lib, or (b) just use the same
compression codec the user already has configured in SparkConf. I'd strongly
prefer (b) if possible. I think it should be straight-forward -- just pass the
`conf` into the constructor for `GenericAvroSerializer`, and then you can call
`CompressionCodec.createCodec(conf)`.
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