JLD.jl
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Sparse matrix loading error: "SparseArrays.SparseMatrixCSC{Core.Int8,Core.Int64} does not match currently loaded type"
We (me + @grig-guz) are trying to store a (large) CSV dataset into a sparse matrix and subsequently put that in a JLD blob. However we are getting some weird type error when trying to load it again: ERROR: stored type SparseArrays.SparseMatrixCSC{Core.Int8,Core.Int64} does not match currently loaded type
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_ _ _(_)_ | Documentation: https://docs.julialang.org
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| | |_| | | | (_| | | Version 1.5.3 (2020-11-09)
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julia> using JLD
julia> load("data_matrices.jld")
┌ Warning: type SparseArrays.SparseMatrixCSC{Core.Int8,Core.Int64} not present in workspace; reconstructing
└ @ JLD ~/.julia/packages/JLD/jeGJb/src/jld_types.jl:697
ERROR: stored type SparseArrays.SparseMatrixCSC{Core.Int8,Core.Int64} does not match currently loaded type
Stacktrace:
[1] jldatatype(::JLD.JldFile, ::HDF5.HDF5Datatype) at /home/em/.julia/packages/JLD/jeGJb/src/jld_types.jl:723
[2] read(::JLD.JldDataset) at /home/em/.julia/packages/JLD/jeGJb/src/JLD.jl:367
[3] read(::JLD.JldFile, ::String) at /home/em/.julia/packages/JLD/jeGJb/src/JLD.jl:343
[4] #43 at ./array.jl:0 [inlined]
[5] iterate at ./generator.jl:47 [inlined]
[6] collect(::Base.Generator{Array{String,1},JLD.var"#43#45"{JLD.JldFile}}) at ./array.jl:686
[7] (::JLD.var"#42#44")(::JLD.JldFile) at /home/em/.julia/packages/JLD/jeGJb/src/JLD.jl:1246
[8] jldopen(::JLD.var"#42#44", ::String, ::Vararg{String,N} where N; kws::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/em/.julia/packages/JLD/jeGJb/src/JLD.jl:243
[9] jldopen(::Function, ::String, ::String) at /home/em/.julia/packages/JLD/jeGJb/src/JLD.jl:241
[10] load(::FileIO.File{FileIO.DataFormat{:JLD}}) at /home/em/.julia/packages/JLD/jeGJb/src/JLD.jl:1245
[11] load(::String; options::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/em/.julia/packages/FileIO/wN5rD/src/loadsave.jl:133
[12] load(::String) at /home/em/.julia/packages/FileIO/wN5rD/src/loadsave.jl:133
[13] top-level scope at REPL[2]:1
[14] run_repl(::REPL.AbstractREPL, ::Any) at /build/julia/src/julia-1.5.3/usr/share/julia/stdlib/v1.5/REPL/src/REPL.jl:288
julia>
The following script is how we package it up
import Pkg; Pkg.add("CSV"); Pkg.add("DataFrames"); Pkg.add("JLD")
using CSV
using DataFrames
using SparseArrays
using JLD
# Data is in the format Item-User-Rating-Timestamp
frame = CSV.read("../data/data.csv", header=["item", "user", "rating", "time_stamp"], DataFrame)
unique_items = unique(frame[!, "item"])
unique_users = unique(frame[!, "user"])
# String id to numerical id
items_map = Dict(zip(unique_items, range(1, length=length(unique_items))))
users_map = Dict(zip(unique_users, range(1, length=length(unique_users))))
num_rows = nrow(frame)
I = zeros(Int64, num_rows); J = zeros(Int64, num_rows); V = ones(Int8, num_rows)
V_ratings= convert(Array{Int8,1}, frame[!, "rating"])
for (index, row) in enumerate(eachrow(frame))
I[index] = items_map[row["item"]]
J[index] = users_map[row["user"]]
end
Sigma = sparse(I, J, V)
B = sparse(I, J, V_ratings)
save("../data/data_matrices.jld", "sigma", Sigma, "b", B)
Can you show the output of st -m from the Pkg REPL?
I'm going to guess you're using JLD with HDF5 v0.13.6 and HDF5_jll v1.12.0. I may have debugged a way to fix the problem, though I still don't understand why it shows up with HDF5_jll v1.12 and not v1.10.
In the mean time, try forcing HDF5 to v0.13.7 which should downgrade HDF5_jll back to v1.10.5+7, and see if that helps.
Status `~/.julia/environments/v1.5/Manifest.toml`
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[68821587] Arpack_jll v3.5.0+3
[4fba245c] ArrayInterface v2.13.7
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[01680d73] GenericSVD v0.3.0
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[9b13fd28] IndirectArrays v0.5.1
[d25df0c9] Inflate v0.1.2
[83e8ac13] IniFile v0.5.0
[1d5cc7b8] IntelOpenMP_jll v2018.0.3+0
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[c8e1da08] IterTools v1.3.0
[42fd0dbc] IterativeSolvers v0.8.4
[82899510] IteratorInterfaceExtensions v1.0.0
[4138dd39] JLD v0.10.0
[692b3bcd] JLLWrappers v1.1.3
[682c06a0] JSON v0.21.1
[7d188eb4] JSONSchema v0.3.2
[aacddb02] JpegTurbo_jll v2.0.1+3
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[56ddb016] Logging
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[ea8e919c] SHA
[9e88b42a] Serialization
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[6462fe0b] Sockets
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[10745b16] Statistics
[4607b0f0] SuiteSparse
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
Please retry with the newly tagged JLD v0.11. I expect that will have fixed your problem.
I am seeing the same issue. Whenever JLD loads a file, the type that it loads is not the same type that it's saved with.
Can you give a minimal test case to demonstrate the error? In particular, have you loaded the package which defines the type prior to loading the file? For instance, I can get a warning and a unique type by not loading the SparseArrays package before loading a SparseMatrixCSC which was saved in a prior session.
Generate data file
$ julia1.6 --quiet
julia> using JLD
julia> using SparseArrays
julia> JLD.save("/tmp/sparse.jld", "A", sprand(500, 500, 0.001))
julia> exit()
Load file with SparseArrays loaded
$ julia1.6 --quiet
julia> using JLD
julia> using SparseArrays
julia> JLD.load("/tmp/sparse.jld", "A")
500×500 SparseMatrixCSC{Float64, Int64} with 238 stored entries:
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠌⠀⠀⠀⠐⠀⠀⠈⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠂⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⡀⠀⠐⠀
⠀⠀⢀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⡀⠀⠀⠀⠀⠀⠀⠀⠀⠒⠀⠀⠀⠀⠀⠀⠐⡀⠐⠀⠀⠀⡀⠁⠀⠀⠀⠂⠀⠈⠂
⢀⠀⠈⠀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠀⠀⠀⠀⠀⠀⠁⠀⠀⠠⠀⠀⠄⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⡃⡀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠁⠀⠀⠀
⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠂⠈⠀⠀⠀⠀⠂⠠⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠀⠀⠁⠀⠀⠀⠀⠠⠀⠐
⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠄⠀⢀⠀⢀⠀⠀⠀⠀⠀⠀⠀⠈⡀
⠀⢈⠄⠐⠀⠀⠀⠀⠀⠀⠠⠀⠀⡈⠀⠀⠀⠀⠀⠀⠢⠀⠀⠂⡀⠂⠀⠀⠀⠂⢀⠀⠀⠀⠀⠀⠀⠀⠄⠀⡀⠀⠀⠀⠀⠀⠀⠀⠈
⠀⠀⠄⠀⠀⠀⠊⠀⠀⠀⠀⠈⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠄⠄⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀
⠐⠀⠀⠀⠀⠈⠀⠀⠀⠀⢀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⢁⠀⠀⠀⠀⠀⠀⢤⠂⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠂⠈⠀⠀⠀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠠⠀⠀⠀⠀⠐⠀⠠
⠀⠀⠈⠀⠀⠐⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠐⠀⠀⠀⠀⠀⠀⠁⠂⠀⠀⠁⠀⠀⠀⠈⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠨⠀⢀⠀⠀⠀⠀⠀⠐⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⢀⠠⠀⠀⠈⠀⠂⠀⠀
⠀⠀⠈⠀⠐⠀⠀⠀⠀⠀⠂⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠃⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠈⢀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠐⠀⠉⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⡀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⢀⠀⠀⠀⠀⠀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⡀⠀⠀⠀⢀⠀⠀⠀⠀⠀⠄⡀⡀⠀⠀⠀⠀⠄⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡂⠀⠀⠀⠀⠀⠀⢀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠂⠀⠄⠈⠐⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠄⡀⠁
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠀⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠂
⠀⠀⠀⠀⠀⠀⠐⠀⠢⠀⠀⠀⠀⠀⠀⠀⠀⢐⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⢠⠀⠀⠁⠀⠀⠀⠁⠀⠀⠀
⠀⠀⠀⠀⠐⠀⠀⠀⠀⠀⠀⠄⠀⠀⠀⠐⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⢠⠀⠀⠐⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⠀⢀⠀⠀⠀⠀⠀
⡀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⡈⠀⠠⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠠⠀⠀⠐⠀⠀⠀⡀⠀⠁⠀⠠⠀⠐⠀⠀⠀⠀⠀⠀⠀⠀⠠⢀⠀⠠⠀⠀⠀⠀⠀⠈⠀⠀⠄⠀⠐⠀⠁⠀⠐⠀⠀⠀⠀
⠀⠐⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠀⢀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀
⠀⠀⠀⡀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠄⠀⠀⠀⠀⠊⠀⠀⠀⠀⠐⠀⠄⠀⠀⠀⠀⠀⠀⠁⠀⠠⠀⠀⠀⠂⠀⠀⠀⢀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
julia> exit()
Load without first loading SparseArrays package
$ julia1.6 --quiet
julia> using JLD
julia> JLD.load("/tmp/sparse.jld", "A")
┌ Warning: type SparseArrays.SparseMatrixCSC{Core.Float64,Core.Int64} not present in workspace; reconstructing
└ @ JLD ~/.julia/dev/JLD/src/jld_types.jl:697
JLD.var"##SparseArrays.SparseMatrixCSC{Core.Float64,Core.Int64}#245"(500, 500, [1, 1, 1, 3, 3, 3, 3, 3, 5, 6 … 230, 232, 233, 236, 236, 236, 236, 236, 237, 239], [88, 426, 56, 173, 185, 270, 139, 202, 461, 115 … 21, 8, 103, 26, 118, 328, 357, 126, 87, 195], [0.7953567356972984, 0.0716880289372368, 0.22690937900918873, 0.03390742491283438, 0.29001481465266465, 0.36939444686650447, 0.5474073279227187, 0.8277341470615132, 0.5776754929730707, 0.3565983156745265 … 0.6330306324408845, 0.35275101068114045, 0.5322983156557552, 0.12336164548926853, 0.24739034132488058, 0.5309345691003586, 0.5948351346842831, 0.39039170941233614, 0.4162596311121227, 0.23686677532224243])
julia> exit()
I had this issue as well -- appeared to happen whenever I mixed Core.Tuple and Core.Array in the type, e.g. Core.Array{Core.Tuple{Core.Int64, Core.Array{Core.Float64}}}. Updating JLD v0.10.0 ⇒ v0.12.3 in Pkg -- which also triggered an update of many other things, like HDF5 v0.13.6 ⇒ v0.15.5 -- fixed it.