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haxl: A Haskell library for efficient, concurrent, and concise data access.

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Haxl is a library and EDSL for efficient scheduling of concurrent data accesses with a concise applicative API.

To use Haxl, you need to implement one or more data sources, which provide the means for accessing remote data or other I/O that you want to perform using Haxl.

Haxl provides two top-level modules:

  • Data-source implementations import Haxl.Core,

  • Client code import your data sources and Haxl.Prelude, or some other client-level API that you provide.

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Versions [RSS] 0.1.0.0, 0.2.0.0, 0.3.0.0, 0.3.1.0, 0.4.0.0, 0.4.0.1, 0.4.0.2, 0.5.0.0, 0.5.1.0, 2.0.0.0, 2.0.1.0, 2.0.1.1, 2.1.2.0, 2.3.0.0, 2.4.0.0, 2.5.1.0, 2.5.1.1
Change log changelog.md
Dependencies aeson (>=0.6 && <0.12), base (>=4 && <4.9), bytestring (>=0.9 && <0.11), containers (>=0.5 && <0.6), deepseq, directory (>=1.1 && <1.3), exceptions (>=0.8 && <0.9), filepath (>=1.3 && <1.5), hashable (>=1.2 && <1.3), haxl, HUnit (>=1.2 && <1.4), pretty (>=1.1 && <1.2), text (>=1.1.0.1 && <1.3), time (>=1.4 && <1.6), unordered-containers (>=0.2 && <0.3), vector (>=0.10 && <0.12) [details]
License BSD-3-Clause
Copyright Copyright (c) 2014-present, Facebook, Inc.
Author Facebook, Inc.
Maintainer The Haxl Team <haxl-team@fb.com>
Revised Revision 2 made by phadej at 2016-07-01T13:44:12Z
Category Concurrency
Home page https://github.com/facebook/Haxl
Bug tracker https://github.com/facebook/Haxl/issues
Uploaded by SimonMarlow at 2015-11-25T10:40:00Z
Distributions Stackage:2.5.1.1
Reverse Dependencies 10 direct, 0 indirect [details]
Executables monadbench
Downloads 13863 total (8 in the last 30 days)
Rating 2.25 (votes: 2) [estimated by Bayesian average]
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Status Docs available [build log]
Last success reported on 2015-11-25 [all 2 reports]

Readme for haxl-0.3.1.0

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Haxl Logo

Haxl

Haxl is a Haskell library that simplifies access to remote data, such as databases or web-based services. Haxl can automatically

  • batch multiple requests to the same data source,
  • request data from multiple data sources concurrently,
  • cache previous requests.

Having all this handled for you behind the scenes means that your data-fetching code can be much cleaner and clearer than it would otherwise be if it had to worry about optimizing data-fetching. We'll give some examples of how this works in the pages linked below.

There are two Haskell packages here:

  • haxl: The core Haxl framework
  • haxl-facebook (in example/facebook): An (incomplete) example data source for accessing the Facebook Graph API

To use Haxl in your own application, you will likely need to build one or more data sources: the thin layer between Haxl and the data that you want to fetch, be it a database, a web API, a cloud service, or whatever. The haxl-facebook package shows how we might build a Haxl data source based on the existing fb package for talking to the Facebook Graph API.

Where to go next?