# \[ANN\] DLMReader: the most versatile Julia package for reading delimited files yet

**URL:** <https://discourse.julialang.org/t/ann-dlmreader-the-most-versatile-julia-package-for-reading-delimited-files-yet/81899>\
**Category:** Package Announcements\
**Tags:** csv, inmemorydatasets\
**Created:** [May 30, 2022, 6:02am UTC](https://discourse.julialang.org/t/ann-dlmreader-the-most-versatile-julia-package-for-reading-delimited-files-yet/81899 "2022-05-30T06:02:35Z")\
**Posts on this page:** 1\
**Showing post:** 13

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**Author:** ![sl-solution](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/sl-solution/32/34759_2.png) [@sl-solution](https://discourse.julialang.org/u/sl-solution)\
**Post date:** [June 2, 2022, 7:32am UTC](https://discourse.julialang.org/t/ann-dlmreader-the-most-versatile-julia-package-for-reading-delimited-files-yet/81899/13 "2022-06-02T07:32:35Z")

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One interesting thing that I noticed during these benchmarkings is that for the `1e9 join` task, the combination of `InMemoryDatasets` and `DLMReader` finish reading and processing data long before other packages realise that they are failing in the reading part!

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