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Posted to reviews@spark.apache.org by "srowen (via GitHub)" <gi...@apache.org> on 2024/02/20 13:07:44 UTC
Re: [PR] [WIP][SPARK-47103][ML] Make the default storage level of intermediate datasets for MLlib configurable [spark]
srowen commented on PR #45182:
URL: https://github.com/apache/spark/pull/45182#issuecomment-1954180165
I think it's possibly OK, as long as all paths do not cache if the input is already cached.
This leaves the default at MEMORY_AND_DISK, which seems right for the common case.
I wonder though if this solves any issue - if you want DISK you can already cache your input on DISK.
What's the corruption problem?
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