Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/332#issuecomment-39696780
One solution is to have these older messages for compatibility (with
deprecation) but then also expose the underlying log directly to users and
convert spark's code to use the new version. The `Logging` trait in Spark is
public so it's likely downstream applications are using it.
It's too bad though - the whole reason `Logging` exists is to provide an
indirection layer so we don't have to depend on specific implementations but
that's exactly what will cause performance overhead in this case.
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