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A new arguably faster implementation of Apache Spark from scratch in Rust

License: Apache License 2.0

Rust 98.70% Cap'n Proto 0.02% Dockerfile 0.61% Shell 0.66%

native_spark's Introduction

native_spark

Join the chat at https://gitter.im/fast_spark/community Build Status License

Documentation

A new, arguably faster, implementation of Apache Spark from scratch in Rust. WIP

Framework tested only on Linux, requires nightly Rust. Read how to get started in the documentation.

ToDo

  • Error Handling(Priority)
  • Fault tolerance

RDD

Most of these except file reader and writer are trivial to implement

  • map
  • flat_map
  • filter
  • group_by
  • reduce_by
  • distinct
  • count
  • take_sample
  • union
  • glom
  • cartesian
  • pipe
  • map_partitions
  • for_each
  • collect
  • reduce
  • fold
  • aggregate
  • take
  • first
  • sample
  • zip
  • save_as_text_file (can save only as text file in executors local file system)

Config Files

  • Replace hard coded values

native_spark's People

Contributors

rajasekarv avatar iduartgomez avatar steven-joruk avatar gzsombor avatar nimpruda avatar ariesdevil avatar 0xflotus avatar edprince avatar rodrigocfd avatar gitter-badger avatar alecmocatta avatar marcelbuesing avatar

Stargazers

Btree avatar

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