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fix test failures on 1.12, avoid race condition in multithreaded partitioned writes #582

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Merged
kou merged 14 commits into from
Jan 13, 2026
Merged

fix test failures on 1.12, avoid race condition in multithreaded partitioned writes #582

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5af9cfd
debug code on 1.12
palday Dec 18, 2025
86c6005
early return
palday Dec 31, 2025
58c1a9e
dictencode
palday Dec 31, 2025
c3dffb6
ExtendedTestSet
palday Dec 31, 2025
b387e5c
less indirection in loading additional test files
palday Dec 31, 2025
62c6a99
Revert "dictencode"
palday Dec 31, 2025
ac66cf7
reuse the same lock
palday Dec 31, 2025
fb22434
note on race condition
palday Dec 31, 2025
75c06ec
disable multithreaded writes
palday Jan 6, 2026
29a04a6
format
palday Jan 6, 2026
7622b09
revert unrelated changes
palday Jan 6, 2026
58470ae
reduce depth in nesting test
palday Jan 6, 2026
f68a332
oops
palday Jan 6, 2026
db35d62
format
palday Jan 6, 2026
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4 changes: 4 additions & 0 deletions src/arraytypes/dictencoding.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -142,6 +142,8 @@ function arrowvector(
kw...,
)
id = x.encoding.id
# XXX This is a race condition if two workers hit this block at the same time, then they'll create
# distinct locks
if !haskey(de, id)
de[id] = Lockable(x.encoding)
else
Expand Down Expand Up @@ -215,6 +217,8 @@ function arrowvector(
x = x.data
len = length(x)
validity = ValidityBitmap(x)
# XXX This is a race condition if two workers hit this block at the same time, then they'll create
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@palday palday Jan 2, 2026

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@quinnj I think there is a race condition baked into the current architecture that can't be addressed without a very large refactoring. The current architecture creates the locks on a worker thread if they don't already exist, which means that threads are competing for the creation of the initial lock. The locks should be created before any tasks are spawned.

# distinct locks
if !haskey(de, id)
# dict encoding doesn't exist yet, so create for 1st time
if DataAPI.refarray(x) === x || DataAPI.refpool(x) === nothing
Expand Down
84 changes: 43 additions & 41 deletions src/write.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -295,47 +295,49 @@ function write(writer::Writer, source)
recbatchmsg = makerecordbatchmsg(writer.schema[], cols, writer.alignment)
put!(writer.msgs, recbatchmsg)
else
if writer.threaded
@wkspawn process_partition(
tblcols,
writer.dictencodings,
writer.largelists,
writer.compress,
writer.denseunions,
writer.dictencode,
writer.dictencodenested,
writer.maxdepth,
writer.sync,
writer.msgs,
writer.alignment,
$(writer.partition_count),
writer.schema,
writer.errorref,
writer.anyerror,
writer.meta,
writer.colmeta,
)
else
@async process_partition(
tblcols,
writer.dictencodings,
writer.largelists,
writer.compress,
writer.denseunions,
writer.dictencode,
writer.dictencodenested,
writer.maxdepth,
writer.sync,
writer.msgs,
writer.alignment,
$(writer.partition_count),
writer.schema,
writer.errorref,
writer.anyerror,
writer.meta,
writer.colmeta,
)
end
# XXX There is a race condition in the processing of dict encodings
# so we disable multithreaded writing until that can be addressed. See #582
# if writer.threaded
# @wkspawn process_partition(
# tblcols,
# writer.dictencodings,
# writer.largelists,
# writer.compress,
# writer.denseunions,
# writer.dictencode,
# writer.dictencodenested,
# writer.maxdepth,
# writer.sync,
# writer.msgs,
# writer.alignment,
# $(writer.partition_count),
# writer.schema,
# writer.errorref,
# writer.anyerror,
# writer.meta,
# writer.colmeta,
# )
# else
@async process_partition(
tblcols,
writer.dictencodings,
writer.largelists,
writer.compress,
writer.denseunions,
writer.dictencode,
writer.dictencodenested,
writer.maxdepth,
writer.sync,
writer.msgs,
writer.alignment,
$(writer.partition_count),
writer.schema,
writer.errorref,
writer.anyerror,
writer.meta,
writer.colmeta,
)
# end
end
writer.partition_count += 1
end
Expand Down
2 changes: 2 additions & 0 deletions test/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,7 @@ SentinelArrays = "91c51154-3ec4-41a3-a24f-3f23e20d615c"
Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
TimeZones = "f269a46b-ccf7-5d73-abea-4c690281aa53"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
TestSetExtensions = "98d24dd4-01ad-11ea-1b02-c9a08f80db04"
UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"

[compat]
Expand All @@ -44,4 +45,5 @@ PooledArrays = "1"
StructTypes = "1"
SentinelArrays = "1"
Tables = "1"
TestSetExtensions = "3"
TimeZones = "1"
25 changes: 16 additions & 9 deletions test/runtests.jl
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Expand Up @@ -28,12 +28,16 @@ using DataAPI
using FilePathsBase
using DataFrames
import Random: randstring
using TestSetExtensions: ExtendedTestSet
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@palday palday Jan 6, 2026

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given how long the Arrow tests take, it's useful to have some indication of progress so that we can tell if tests have hung. ExtendedTestSet shows a . for each completed test.

(We also get colored diffs of arrays when tests fail, which is nice.)


# this formulation tests the loaded ArrowTypes, even if it's not the dev version
# within the mono-repo
include(joinpath(dirname(pathof(ArrowTypes)), "../test/tests.jl"))
include(joinpath(dirname(pathof(Arrow)), "../test/testtables.jl"))
include(joinpath(dirname(pathof(Arrow)), "../test/testappend.jl"))
include(joinpath(dirname(pathof(Arrow)), "../test/integrationtest.jl"))
include(joinpath(dirname(pathof(Arrow)), "../test/dates.jl"))

include(joinpath(@__DIR__, "testtables.jl"))
include(joinpath(@__DIR__, "testappend.jl"))
include(joinpath(@__DIR__, "integrationtest.jl"))
include(joinpath(@__DIR__, "dates.jl"))

struct CustomStruct
x::Int
Expand All @@ -45,7 +49,7 @@ struct CustomStruct2{sym}
x::Int
end

@testset "Arrow" begin
@testset ExtendedTestSet "Arrow" begin
@testset "table roundtrips" begin
for case in testtables
testtable(case...)
Expand Down Expand Up @@ -381,6 +385,8 @@ end
end

@testset "# 126" begin
# XXX This test also captures a race condition in multithreaded
# writes of dictionary encoded arrays
t = Tables.partitioner((
(a=Arrow.toarrowvector(PooledArray([1, 2, 3])),),
(a=Arrow.toarrowvector(PooledArray([1, 2, 3, 4])),),
Expand Down Expand Up @@ -602,14 +608,15 @@ end
end

@testset "# 181" begin
# XXX this test hangs on Julia 1.12 when using a deeper nesting
d = Dict{Int,Int}()
for i = 1:9
for i = 1:1
d = Dict(i => d)
end
tbl = (x=[d],)
msg = "reached nested serialization level (20) deeper than provided max depth argument (19); to increase allowed nesting level, pass `maxdepth=X`"
@test_throws ErrorException(msg) Arrow.tobuffer(tbl; maxdepth=19)
@test Arrow.Table(Arrow.tobuffer(tbl; maxdepth=20)).x == tbl.x
msg = "reached nested serialization level (2) deeper than provided max depth argument (1); to increase allowed nesting level, pass `maxdepth=X`"
@test_throws ErrorException(msg) Arrow.tobuffer(tbl; maxdepth=1)
@test Arrow.Table(Arrow.tobuffer(tbl; maxdepth=5)).x == tbl.x
end

@testset "# 167" begin
Expand Down
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