krapsh: Haskell bindings for Spark Dataframes and Datasets

[ apache, big-data, library, web ] [ Propose Tags ]

Krapsh is an exploration vehicle for developing safe, robust and reliable data pipelines over Apache Spark, using the DataFrame API. In order to use it, you must launch Spark with the kraps-server module installed.

Versions 0.1.6.0, 0.1.6.1, 0.1.6.2, 0.1.9.0
Dependencies aeson (>=0.11.2.1 && <0.12), aeson-pretty (>=0.8.2 && <0.9), base (>=4.8.1 && <5), base16-bytestring (>=0.1.1.6 && <0.2), binary (>=0.7 && <0.9), bytestring (>=0.10.8.1 && <0.11), containers (>=0.5.7.1 && <0.6), cryptohash-sha256 (>=0.11.100.1 && <0.12), deepseq (>=1.4.2.0 && <1.5), exceptions (>=0.8.3 && <0.9), formatting (>=6.2.4 && <6.3), hashable (>=1.2.4.0 && <1.3), lens (==4.14.*), monad-logger (>=0.3.20.1 && <0.4), mtl (>=2.2.1 && <2.3), QuickCheck (>=2.8.2 && <2.9), random (==1.1.*), scientific (>=0.3.4.9 && <0.4), SHA (>=1.6.4.2 && <1.7), text (>=1.2.2.1 && <1.3), text-format (>=0.3.1.1 && <0.4), transformers (>=0.5.2.0 && <0.6), unordered-containers (>=0.2.7.1 && <0.3), vector (>=0.11.0.0 && <0.12), wreq (>=0.4.1.0 && <0.5) [details]
License Apache-2.0
Copyright 2016 Kraps-Haskell contributors
Author krapsh
Maintainer krapsh@yandex.com
Category Web, Big data
Home page https://github.com/krapsh/kraps-haskell
Source repo head: git clone https://github.com/krapsh/kraps-haskell
Uploaded by krapsh at Mon Jan 16 16:02:45 UTC 2017
Distributions NixOS:0.1.9.0
Downloads 768 total (58 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2017-01-16 [all 1 reports]
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