Is it possible to configure Spark to do all of its shuffling FULLY in memory (given that I have enough memory to store all the data)?
- Fully in-memory shuffles Corey Nolet
- Re: Fully in-memory shuffles Josh Rosen
- Re: Fully in-memory shuffles Corey Nolet
- Re: Fully in-memory shuffles Patrick Wendell
- Re: Fully in-memory shuffles Corey Nolet
- Re: Fully in-memory shuffles Davies Liu
- Re: Fully in-memory shuffles Patrick Wendell
- Re: Fully in-memory shuffles Mark Hamstra
