diff --git a/Project.toml b/Project.toml
index bc1852458..2110edc79 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,6 +1,6 @@
 name = "DataFrames"
 uuid = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
-version = "1.8.0"
+version = "1.8.1"
 
 [deps]
 Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
diff --git a/src/join/core.jl b/src/join/core.jl
index 48f112f73..4f6513343 100644
--- a/src/join/core.jl
+++ b/src/join/core.jl
@@ -33,8 +33,8 @@ Base.IndexStyle(::Type{<:OnCol}) = Base.IndexLinear()
     return OnColRow(i, oc.cols, oc.h)
 end
 
-Base.hash(ocr1::OnColRow, h::UInt) = throw(MethodError(hash, (ocr1, h)))
-@inline Base.hash(ocr1::OnColRow) = @inbounds ocr1.h[ocr1.row]
+# Note second argument is ignored as it is always zero in practice
+@inline Base.hash(ocr1::OnColRow, ::UInt) = @inbounds ocr1.h[ocr1.row]
 
 # Hashing one column at a time is faster since it can use SIMD
 function _prehash(oc::OnCol)
diff --git a/test/join.jl b/test/join.jl
index 0453d3b63..bba82df25 100644
--- a/test/join.jl
+++ b/test/join.jl
@@ -1000,7 +1000,6 @@ end
     end
 
     for i in eachindex(c1), j in eachindex(oncols, tupcols)
-        @test_throws MethodError hash(oncols[j][1], zero(UInt))
         DataFrames._prehash(oncols[j])
         @test hash(oncols[j][i]) == hash(tupcols[j][i])
         for k in eachindex(c1)