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Deprecate the support for Mamba/Micromamba #4464
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Just want to cast my vote against dropping mamba/micromamba support (at least for the time being), since mamba/micromamba (both using libmamba's locking infrastructure) allow parallel environment creation, whereas you currently get pkg cache corruption errors using conda (see conda/conda#13037). Conda has had github issues requesting this feature for years and currently I see no indications it's coming any time soon. Since micromamba support is currently broken but easily fixed with #4302, I would additionally suggest that you consider merging that PR. It's easy to run into this problem (launch two pipelines on the same machine that both involve conda environment creation as the first step; it'll work if #4253 solves this problem within a single nextflow (unix) process but if you're running multiple nextflow (unix) processes (e.g., as is common on academic HPC), you'll risk running into this issue. |
Maybe also consider that the mamba license is "better" in some cases. |
in my hands micromamba is still much faster than conda even with libmamba. Maybe it's worth adding some timing to a test of both with installation of e.g. multiqc to see when micromamba can be dropped with little performance impact? |
Nextflow provides built-in support for Conda package manager to setup the task environment.
However, Conda can be considerably slow in resolving the package dependencies, for this reason alternative tools such as
mamba
andmicromamba
have been emerged to provide a faster resolution.Nextflow supports also those tools, however this adds extra complexity in the underlying implementation.
Considering that now Conda does support the use of
libmamba
directly for the package resolution, this ticker aims to deprecate the direct support for Mamba and Micromamba in Nextflow considering this capability can be enabled by the user in the Conda toolset.See here for more details https://www.anaconda.com/blog/a-faster-conda-for-a-growing-community
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