Hello All, I had a question regarding the performance optimization (Catalyst Optimizer) of DataFrames. I understand that DataFrames are interoperable with RDDs. If I switch back and forth between DataFrames and RDDs, does the performance optimization still kick-in? I need to switch to RDDs to reuse some previously written functions that had been coded up using RDDs.
Are there are any recommendations/best practices, in terms of performance tuning, that need to be followed while using a combination of DataFrames and RDDs? Thank you for your time. Regards, Pallavi. -- _____________________________________________________________ The information contained in this communication is intended solely for the use of the individual or entity to whom it is addressed and others authorized to receive it. It may contain confidential or legally privileged information. If you are not the intended recipient you are hereby notified that any disclosure, copying, distribution or taking any action in reliance on the contents of this information is strictly prohibited and may be unlawful. If you have received this communication in error, please notify us immediately by responding to this email and then delete it from your system. The firm is neither liable for the proper and complete transmission of the information contained in this communication nor for any delay in its receipt.
