Thank you, that worked for the example file but when I try to load the actual CSV file I get the following error

```
ERROR: LoadError: BoundsError: attempt to access 0-element Array{UInt8,1} at index [1]
Stacktrace:
[1] parsefield(::Base.AbstractIOBuffer{Array{UInt8,1}}, ::Type{Int64}, ::CSV.Options{DateFormat{Symbol("yyyy-mm-dd\\THH:MM:SS.s"),Tuple{Base.Dates.DatePart{'y'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'m'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'d'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'H'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'M'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'S'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'s'}}}}, ::Int64, ::Int64, ::Base.RefValue{CSV.ParsingState}, ::CSV.##4#5) at C:\Users\panag\.julia\v0.6\CSV\src\parsefields.jl:81
[2] macro expansion at C:\Users\panag\.julia\v0.6\DataStreams\src\DataStreams.jl:542 [inlined]
[3] stream!(::CSV.Source{Base.AbstractIOBuffer{Array{UInt8,1}},DateFormat{Symbol("yyyy-mm-dd\\THH:MM:SS.s"),Tuple{Base.Dates.DatePart{'y'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'m'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'d'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'H'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'M'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'S'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'s'}}}}, ::Type{DataStreams.Data.Field}, ::DataFrames.DataFrameStream{Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Missings.Missing,1},Array{Missings.Missing,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Missings.Missing,1},Array{Missings.Missing,1},Array{Missings.Missing,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Missings.Missing,1},Array{Missings.Missing,1},Array{Missings.Missing,1},Array{Missings.Missing,1},Array{Missings.Missing,1},Array{Missings.Missing,1},Array{Missings.Missing,1},Array{Float64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Float64,1}}}, ::DataStreams.Data.Schema{true,Tuple{Int64,Int64,Int64,Int64,Int64,Int64,Int64,Missings.Missing,Missings.Missing,Int64,Int64,Int64,Int64,Missings.Missing,Missings.Missing,Missings.Missing,Int64,Int64,Int64,Int64,Int64,Int64,Int64,Missings.Missing,Missings.Missing,Missings.Missing,Missings.Missing,Missings.Missing,Missings.Missing,Missings.Missing,Float64,Int64,Int64,Int64,Float64}}, ::Int64, ::NTuple{35,Base.#identity}, ::DataStreams.Data.##15#16, ::Array{Any,1}, ::Type{Ref{(:YEAR, :SERIAL, :STRATA, :PSU, :NHISHID, :HHWEIGHT, :NHISPID, :HHX, :FMX, :PX, :PERNUM, :PERWEIGHT, :SAMPWEIGHT, :FWEIGHT, :ASTATFLG, :CSTATFLG, :AGE, :SEX, :EDUCREC2, :OCC, :OCC1995, :IND, :IND1995, :HOURSWRK, :OCCUPN104, :OCCUPN204, :INDSTRN104, :INDSTRN204, :POORYN, :INCFAM97ON2, :CPI2009, :HEALTH, :HEIGHT, :WEIGHT, :BMICALC)}}) at C:\Users\panag\.julia\v0.6\DataStreams\src\DataStreams.jl:614
[4] #stream!#17(::Bool, ::Dict{Int64,Function}, ::Function, ::Array{Any,1}, ::Array{Any,1}, ::Function, ::CSV.Source{Base.AbstractIOBuffer{Array{UInt8,1}},DateFormat{Symbol("yyyy-mm-dd\\THH:MM:SS.s"),Tuple{Base.Dates.DatePart{'y'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'m'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'d'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'H'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'M'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'S'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'s'}}}}, ::Type{DataFrames.DataFrame}) at C:\Users\panag\.julia\v0.6\DataStreams\src\DataStreams.jl:490
[5] (::DataStreams.Data.#kw##stream!)(::Array{Any,1}, ::DataStreams.Data.#stream!, ::CSV.Source{Base.AbstractIOBuffer{Array{UInt8,1}},DateFormat{Symbol("yyyy-mm-dd\\THH:MM:SS.s"),Tuple{Base.Dates.DatePart{'y'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'m'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'d'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'H'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'M'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'S'},Base.Dates.Delim{Char,1},Base.Dates.DatePart{'s'}}}}, ::Type{DataFrames.DataFrame}) at .\<missing>:0
[6] #read#43(::Bool, ::Dict{Int64,Function}, ::Bool, ::Array{Any,1}, ::Function, ::String, ::Type{T} where T) at C:\Users\panag\.julia\v0.6\CSV\src\Source.jl:339
[7] (::CSV.#kw##read)(::Array{Any,1}, ::CSV.#read, ::String, ::Type{T} where T) at .\<missing>:0 (repeats 2 times)
[8] include_from_node1(::String) at .\loading.jl:576
[9] include(::String) at .\sysimg.jl:14
```

The CSV is not corrupted because it loads properly with readtable(). Is there a similar option for readtable()?