Snappy for compression codec using velox as backend

[himanshu-zetta]

I need to run gluten on spark with snappy as shuffle compression codec.
As gluten velox backends api support only lz4 and zstd as shown in the figure below:

so, I added snappy in list using this Set("lz4", "zstd", "snappy").

This compiled and I was able to run the spark queries with spark.io.compression.codec=snappy.
But the issue I'm facing which seems like there is no compression happening during snappy with gluten as when I compared the shuffle write with base I observed ~2x write in case of gluten.

type	input size	shuffle read	shuffle write
snappy (vanilla-spark)	94.9 GiB	234.9 GiB	118.9 GiB
snappy (gluten)	93.3 GiB	379.9 GiB	191.8 GiB

@PHILO-HE , @FelixYBW, @weiting-chen could you help me, what else I need to do to use snappy codec for shuffle compression