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

[ bsd3, concurrency, library ] [ Propose Tags ]

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:


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Versions [faq] 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
Change log changelog.md
Dependencies aeson (>=0.6 && <1.2), base (>=4 && <4.10), binary (>=0.7 && <0.9), bytestring (>=0.9 && <0.11), containers (==0.5.*), deepseq, exceptions (==0.8.*), filepath (>=1.3 && <1.5), ghc-prim, hashable (==1.2.*), haxl, HUnit (>=1.2 && <1.6), pretty (==1.1.*), text (>=1.1.0.1 && <1.3), time (>=1.4 && <1.8), transformers, unordered-containers (==0.2.*), vector (>=0.10 && <0.13) [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 1 made by HerbertValerioRiedel at Thu Aug 30 16:34:18 UTC 2018
Category Concurrency
Home page https://github.com/facebook/Haxl
Bug tracker https://github.com/facebook/Haxl/issues
Uploaded by SimonMarlow at Fri Jan 13 20:14:31 UTC 2017
Distributions LTSHaskell:2.0.1.1, NixOS:2.0.1.1, Stackage:2.0.1.1
Executables monadbench
Downloads 4958 total (239 in the last 30 days)
Rating 2.25 (votes: 2) [estimated by rule of succession]
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Status Hackage Matrix CI
Docs available [build log]
Last success reported on 2017-01-13 [all 1 reports]

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Readme for haxl-0.5.0.0

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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?

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