diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 1df974a..987bd90 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -21,7 +21,7 @@ jobs:
         include:
           - os: windows-latest
             version: '1'
-            arch: x86
+            arch: x64
           - os: macos-latest
             version: '1'
             arch: aarch64
diff --git a/src/abstractdataset/prettytables.jl b/src/abstractdataset/prettytables.jl
index efdc0d8..aca4001 100644
--- a/src/abstractdataset/prettytables.jl
+++ b/src/abstractdataset/prettytables.jl
@@ -22,9 +22,13 @@ function _pretty_tables_highlighter_func(data, i::Integer, j::Integer)
         end
     end
 end
-
-const _PRETTY_TABLES_HIGHLIGHTER = Highlighter(_pretty_tables_highlighter_func,
+if isdefined(PrettyTables, :Highlighter)
+    const _PRETTY_TABLES_HIGHLIGHTER = Highlighter(_pretty_tables_highlighter_func,
+                                               Crayon(foreground = :dark_gray))
+else
+    const _PRETTY_TABLES_HIGHLIGHTER = TextHighlighter(_pretty_tables_highlighter_func,
                                                Crayon(foreground = :dark_gray))
+end
 
 # Default DataFrames formatter for text backend.
 #
diff --git a/src/other/utils.jl b/src/other/utils.jl
index fe48de4..16214d8 100644
--- a/src/other/utils.jl
+++ b/src/other/utils.jl
@@ -955,6 +955,5 @@ Base.eltype(v::Cat2Vec{F1, F2, CT, T, S, A, B}) where {F1, F2, CT, T, S, A, B} =
 
 
 function tid(nt)
-    
     Threads.threadid() % nt + 1
 end
\ No newline at end of file
diff --git a/src/precompile/precompile.jl b/src/precompile/precompile.jl
index 51f62c7..5ddcd45 100644
--- a/src/precompile/precompile.jl
+++ b/src/precompile/precompile.jl
@@ -526,14 +526,9 @@ function _precompile()
 
         Base.precompile(Tuple{Core.kwftype(typeof(sortperm)),NamedTuple{(:alg,), Tuple{QuickSortAlg}},typeof(sortperm),Dataset,Int64})
         Base.precompile(Tuple{Core.kwftype(typeof(leftjoin)),NamedTuple{(:on, :threads), Tuple{Vector{Symbol}, Bool}},typeof(leftjoin),Dataset,Dataset})
-        Base.precompile(Tuple{Core.kwftype(typeof(innerjoin)),NamedTuple{(:on, :makeunique, :stable, :threads), Tuple{Vector{Pair{Symbol, Tuple{Symbol, Nothing}}}, Bool, Bool, Bool}},typeof(innerjoin),Dataset,SubDataset{Dataset, SubIndex{Index, Base.OneTo{Int64}, Vector{Int64}}, Base.OneTo{Int64}}})
         Base.precompile(Tuple{Core.kwftype(typeof(innerjoin)),NamedTuple{(:on, :threads), Tuple{Vector{Symbol}, Bool}},typeof(innerjoin),Dataset,Dataset})
         Base.precompile(Tuple{Core.kwftype(typeof(innerjoin)),NamedTuple{(:on, :stable, :threads), Tuple{Vector{Pair{Symbol, Any}}, Bool, Bool}},typeof(innerjoin),Dataset,Dataset})
-        Base.precompile(Tuple{Core.kwftype(typeof(innerjoin)),NamedTuple{(:on, :stable, :threads), Tuple{Vector{Pair{Symbol, Any}}, Bool, Bool}},typeof(innerjoin),SubDataset{Dataset, SubIndex{Index, Base.OneTo{Int64}, Vector{Int64}}, Base.OneTo{Int64}},Dataset})
         Base.precompile(Tuple{Core.kwftype(typeof(closejoin)),NamedTuple{(:on,), Tuple{Symbol}},typeof(closejoin),Dataset,Dataset})
-        Base.precompile(Tuple{Core.kwftype(typeof(closejoin)),NamedTuple{(:on,), Tuple{Vector{Symbol}}},typeof(closejoin),SubDataset{Dataset, SubIndex{Index, Base.OneTo{Int64}, Vector{Int64}}, Base.OneTo{Int64}},SubDataset{Dataset, SubIndex{Index, Base.OneTo{Int64}, Vector{Int64}}, Base.OneTo{Int64}}})
-        Base.precompile(Tuple{Core.kwftype(typeof(closejoin)),NamedTuple{(:on,), Tuple{Vector{Symbol}}},typeof(closejoin),Dataset,SubDataset{Dataset, SubIndex{Index, Vector{Int64}, Vector{Int64}}, UnitRange{Int64}}})
-        Base.precompile(Tuple{Core.kwftype(typeof(_join_inner)),NamedTuple{(:onleft, :onright, :onright_range, :makeunique, :mapformats, :stable, :alg, :check, :accelerate, :droprangecols, :strict_inequality, :method, :threads, :multiple_match, :multiple_match_name, :obs_id, :obs_id_name), Tuple{Vector{Int64}, Vector{Int64}, Tuple{Nothing, Symbol}, Bool, Vector{Bool}, Bool, HeapSortAlg, Bool, Bool, Bool, Vector{Bool}, Symbol, Bool, Bool, Symbol, Vector{Bool}, Symbol}},typeof(_join_inner),SubDataset{Dataset, SubIndex{Index, Base.OneTo{Int64}, Vector{Int64}}, Base.OneTo{Int64}},Dataset,Val{Int32}})
 
         Base.precompile(Tuple{Core.kwftype(typeof(sort)),NamedTuple{(:stable, :alg), Tuple{Bool, QuickSortAlg}},typeof(sort),Dataset,Vector{Int64}})
         Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:x1, :x2, :x3, :x4, :x5, :x6, :x7, :x8, :x9, :x10), Tuple{Vector{Int64}, Vector{Int64}, Vector{Float64}, Vector{Date}, String, PooledVector{Characters{5}, UInt32, Vector{UInt32}}, Vector{Int32}, Vector{Float32}, PooledVector{Characters{3}, UInt32, Vector{UInt32}}, PooledVector{Characters{12}, UInt32, Vector{UInt32}}}},Type{Dataset}})