[GitHub] [arrow-datafusion] frobnitzem edited a comment on issue #1273: Question: Is the Ballista project providing value to the overall DataFusion project?

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frobnitzem edited a comment on issue #1273:
URL: https://github.com/apache/arrow-datafusion/issues/1273#issuecomment-965654603


   I am coming to this discussion from a different perspective.  I recently wrote [mpi-list](https://github.com/frobnitzem/mpi_list), a [py-sparkling](https://github.com/svenkreiss/pysparkling)-inspired RDD that distributes list slices over MPI.  Each process works with its local (sub-list) of elements.  Usually, each element is a dataframe.
   
   However, loading up pandas dataframes quickly wastes memory.  So, I'm investigating arrow as a memory-friendly replacement.  The trouble I am running into is that DataFusion might have too much functionality.  My csv files are already split up (many per process), and I already have processes running on an existing cluster via MPI.  So I want to execute SQL queries once for each csv file and create a new result dataset distributed the same way as the original.


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