Skip to main content

miniwdl slurm backend using singularity

Project description

Extends miniwdl to run workflows on SLURM clusters in singularity containers.

This SLURM backend plugin for miniwdl runs WDL task containers by creating a job script that is submitted to a SLURM cluster. In case the job description has a container, singularity will be used as container runtime.

Installation

For the latest stable version:

pip install miniwdl-slurm

For the development version:

pip install git+https://github.com/miniwdl-ext/miniwdl-slurm.git

Configuration

The following miniwdl configuration example can be used to use miniwdl on a SLURM cluster:

[scheduler]
container_backend=slurm_singularity
# task_concurrency defaults to the number of processors on the system.
# since we submit the jobs to SLURM this is not necessary.
# higher numbers means miniwdl has to monitor more processes simultaneously
# which might impact performance.
task_concurrency=200

# This setting allows running tasks to continue, even if one other tasks fails.
# Useful in combination with call caching. Prevents wasting resources by
# cancelling jobs half-way that would probably succeed.
fail_fast = false

[call_cache]
# The following settings create a call cache under the current directory.
# This prevents wasting unnecessary resources on the cluster by rerunning
# jobs that have already succeeded.
put = true
get = true
dir = "$PWD/miniwdl_call_cache"

[task_runtime]
# Setting a 'maxRetries' default allows jobs that fail due to intermittent
# errors on the cluster to be retried.
defaults = {
        "maxRetries": 2,
        "docker": "ubuntu:20.04"
    }

[singularity]
# This plugin wraps the singularity backend. Make sure the settings are
# appropriate for your cluster.
exe = ["singularity"]

# the miniwdl default options contain options to run as a fake root, which
# is not available on most clusters. So the run options do need to be
# overriden.
# --containall: isolates container environment, does not mount home, and
# isolates IPC and PID namespace.
# --no-mount hostfs: Prohibit mounting of any host filesystems unless
# explcitly mounted.
# --network none: Do not allow any network traffic inside and outside
# the container. This is a sane default for reproducible workflows,
# as "the internet" can vary, but if you have explicit download tasks
# you might need to remove this.
run_options = [
        "--containall",
        "--no-mount", "hostfs",
        "--network", "none"
    ]

# Location of the singularity images (optional). The miniwdl-slurm plugin
# will set it to a directory inside $PWD. This location must be reachable
# for the submit nodes.
image_cache = "$PWD/miniwdl_singularity_cache"

[slurm]
# extra arguments passed to the sbatch command (optional).
extra_args="--partition heavy_users,gpu --comment 'run with miniwdl'"

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

miniwdl_slurm-0.4.0.tar.gz (10.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

miniwdl_slurm-0.4.0-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file miniwdl_slurm-0.4.0.tar.gz.

File metadata

  • Download URL: miniwdl_slurm-0.4.0.tar.gz
  • Upload date:
  • Size: 10.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for miniwdl_slurm-0.4.0.tar.gz
Algorithm Hash digest
SHA256 c412ae0cc0bbde0c0ce46a9ca75e81a9209a066ac7ab507abc5835a2434c7269
MD5 6339f886cdb4ab5625383aa588cdc4de
BLAKE2b-256 76dd2b43669c0c05c8ca40990d118e06bca69cd508d6cd3e1d51a6d8a442abb8

See more details on using hashes here.

File details

Details for the file miniwdl_slurm-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: miniwdl_slurm-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 7.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for miniwdl_slurm-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bd96053fcf94633a615ad38dc1b28201c5defd3165681c0cf445dc832c08f444
MD5 8418cc398a0ae2eb79e734757faa55de
BLAKE2b-256 7c3d9ba2232062c3eb577faf711ed85a87b3ae8911fa498433357da524a3f28c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page