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:


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Versions 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, 2.1.2.0, 2.3.0.0, 2.4.0.0, 2.5.1.0
Change log changelog.md
Dependencies aeson (>=0.6 && <1.5), base (>=4.7 && <5), binary (>=0.7 && <0.10), bytestring (>=0.9 && <0.11), containers (>=0.5 && <0.7), deepseq, exceptions (>=0.8 && <0.11), filepath (>=1.3 && <1.5), ghc-prim, hashable (>=1.2 && <1.3), haxl, pretty (>=1.1 && <1.2), semigroups (>=0.18.3 && <0.19), stm (>=2.4 && <2.6), text (>=1.2.1.0 && <1.3), time (>=1.4 && <1.9), transformers, unordered-containers (>=0.2 && <0.3), 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>
Category Concurrency
Home page https://github.com/facebook/Haxl
Bug tracker https://github.com/facebook/Haxl/issues
Uploaded by SimonMarlow at 2019-06-20T07:02:37Z

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Readme for haxl-2.1.2.0

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Haxl

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

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:

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.

There is a generic datasource in "Haxl.DataSource.ConcurrentIO" that can be used for performing arbitrary IO operations concurrently, given a bit of boilerplate to define the IO operations you want to perform.

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?