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karps: Haskell bindings for Spark Dataframes and Datasets

[ apache, big-data, library, web ] [ Propose Tags ] [ Report a vulnerability ]

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

Modules

[Last Documentation]

  • Spark
    • Spark.Core
      • Spark.Core.Column
      • Spark.Core.ColumnFunctions
      • Spark.Core.Context
      • Spark.Core.Dataset
      • Spark.Core.Functions
      • Internal
        • Spark.Core.Internal.Arithmetics
        • Spark.Core.Internal.ArithmeticsImpl
        • Spark.Core.Internal.Caching
        • Spark.Core.Internal.CanRename
        • Spark.Core.Internal.Client
        • Spark.Core.Internal.ColumnStandard
        • Spark.Core.Internal.ComputeDag
        • Spark.Core.Internal.ContextIOInternal
        • Spark.Core.Internal.ContextInteractive
        • Spark.Core.Internal.ContextInternal
        • Spark.Core.Internal.ContextStructures
        • Spark.Core.Internal.DAGFunctions
        • Spark.Core.Internal.DAGStructures
        • Spark.Core.Internal.DatasetFunctions
        • Spark.Core.Internal.DatasetStructures
        • Spark.Core.Internal.Groups
        • Spark.Core.Internal.Joins
        • Spark.Core.Internal.LocalDataFunctions
        • Spark.Core.Internal.ObservableStandard
        • Spark.Core.Internal.OpFunctions
        • Spark.Core.Internal.OpStructures
        • Spark.Core.Internal.Paths
        • Spark.Core.Internal.PathsUntyped
        • Spark.Core.Internal.Projections
        • Spark.Core.Internal.Pruning
        • Spark.Core.Internal.RowGenericsFrom
        • Spark.Core.Internal.TypesFunctions
        • Spark.Core.Internal.TypesGenerics
        • Spark.Core.Internal.TypesStructures
        • Spark.Core.Internal.TypesStructuresRepr
        • Spark.Core.Internal.Utilities
      • Spark.Core.Row
      • Spark.Core.StructuresInternal
      • Spark.Core.Try
      • Spark.Core.Types
    • IO
      • Spark.IO.Inputs

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Versions [RSS] 0.1.9.0, 0.2.0.0
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), either (>=4.4.1.1 && <4.5), exceptions (>=0.8.3 && <0.9), formatting (>=6.2.4 && <6.3), hashable (>=1.2.4.0 && <1.3), lens (>=4.14 && <4.15), monad-logger (>=0.3.20.1 && <0.4), mtl (>=2.2.1 && <2.3), QuickCheck (>=2.8.2 && <2.9), random (>=1.1 && <1.2), scientific (>=0.3.4.9 && <0.4), semigroups (>=0.18.2 && <0.19), 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 Karps-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 2017-04-11T15:58:00Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 1683 total (1 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
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Status Docs not available [build log]
All reported builds failed as of 2017-04-11 [all 3 reports]