Hi,

I want to benchmark the memory savings by using the in-memory columnar
storage for schemardds (using cacheTable) vs caching the SchemaRDD directly.
It would be really helpful to be able to query this from the spark-shell or
jobs directly. Could a dev point me to the way to do this? From what I
understand i will need a reference to the block manager, or something like
RDDInfo.fromRdd(rdd).memSize.

I could use reflection or whatever to override the private access modifiers.



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