JuliaDataCubes / JuliaDataCubes/YAXArrays.jl
Can't do multiple mapCube computations in the same script on SLURM
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- Dominant language
- Julia
- Stars
- 132
- Forks
- 25
- PR merge metrics
- No merged PRs in 30d
Description
When I am trying to do multiple mapCube runs on the same data on a SLURM cluster I am running into this error directly after the first run
Error: Fatal error on process 1
│ exception =
│ IOError: stream is closed or unusable
│ Stacktrace:
│ [1] check_open
│ @ ./stream.jl:386 [inlined]
│ [2] uv_write_async(s::Sockets.TCPSocket, p::Ptr{UInt8}, n::UInt64)
│ @ Base ./stream.jl:1018
│ [3] uv_write(s::Sockets.TCPSocket, p::Ptr{UInt8}, n::UInt64)
│ @ Base ./stream.jl:981
│ [4] uv_write
│ @ ./stream.jl:977 [inlined]
│ [5] flush(s::Sockets.TCPSocket)
│ @ Base ./stream.jl:1073
│ [6] send_msg_(w::Distributed.Worker, header::Distributed.MsgHeader, msg::Distributed.ResultMsg, now::Bool)
│ @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/messages.jl:180
│ [7] send_msg_now
│ @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/messages.jl:118 [inlined]
│ [8] send_msg_now(s::Sockets.TCPSocket, header::Distributed.MsgHeader, msg::Distributed.ResultMsg)
│ @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/messages.jl:113
│ [9] deliver_result(sock::Sockets.TCPSocket, msg::Symbol, oid::Distributed.RRID, value::RemoteException)
│ @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:95
│ [10] macro expansion
│ @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:286 [inlined]
│ [11] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
│ @ Distributed ./task.jl:406
└ @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:99
This seems to be https://github.com/JuliaLang/julia/issues/35442 but maybe we can work around this somehow.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce multiple mapCube runs on the same data under SLURM and start by tracing the worker and connection lifecycle around the mapCube entry point. Compare the behavior with Julia issue 35442; done means sequential mapCube computations complete without the closed-stream error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- distributed-systems
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100