Comments (1)
I think this is potentially useful, but it requires a lot of memory, so there are still contexts in which it's not useful (e.g. streaming). For other contexts, it would be good to know how it impacts final performance.
FWIW, DataFrames already does something like this: the initial read through the file only locates field offsets.
from csv.jl.
Related Issues (20)
- Too many missing warnings HOT 3
- writeheader=true ineffective in combination with header=
- Do not convert quoted cells
- CSV.write should conditionally convert type unstable iterators
- [Bug] CSV.read randomly changes eltype of column HOT 7
- pool kwarg documentation HOT 1
- There is no clear method reading non-UTF8 gzipped file in example
- burntsushi's issue HOT 1
- Multithreaded parsing error should be warning HOT 7
- Error reading CSV - missing lines HOT 2
- Load error with Parsers.Options HOT 4
- Configurable max inline string length
- Precompilation issue in Ubuntu 22.04.2 LTS (libLLVM-14jl.so (unknown line)) HOT 14
- Formatting issues in examples
- Cannot compile this package on Julia 1.9.1 in Ubuntu 22.04 container HOT 3
- "Missing" Values HOT 2
- Keyword `decimal` not respected for AbstractFloats in CSV.write()
- Can't transfer CSV.jl v0.10.11 from Windows to Linux HOT 2
- CSV.write somehow cannot write file with name `con.csv` in Windows?! HOT 5
- Add Zenodo badge to README HOT 6
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from csv.jl.