In particular, we're working on byte-level shared-memory integration with Impala (which is implemented in C++ with LLVM runtime codegen — the project's tech lead, Marcel Kornacker, was the tech lead for Google F1's query engine) to run user-defined logic without data serialization / memory usage overhead. This also opens up Python's HPC / scientific computing stack and existing data libraries to be run in a Hadoop setting without Python-JVM interoperability issues.
In particular, we're working on byte-level shared-memory integration with Impala (which is implemented in C++ with LLVM runtime codegen — the project's tech lead, Marcel Kornacker, was the tech lead for Google F1's query engine) to run user-defined logic without data serialization / memory usage overhead. This also opens up Python's HPC / scientific computing stack and existing data libraries to be run in a Hadoop setting without Python-JVM interoperability issues.