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How can I create a large table using JuliaDB?
I would like to be able to perform operations such as these:
```
using DataFrames
N=3
myDT = DataFrame(group = repeat('A':'C',outer=N), x = 1:(3*N)…
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Hello,
I am beginner in Julia.
I try to import the big file of the french establishments (file opendata "sirene": http://files.data.gouv.fr/sirene/sirene_201711_L_M.zip).
I used this code or deri…
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```julia
convert(Array,data)
```
fails for `data` a JuliaDB/IndexedTables table. For this numerical data it would be nice to be able to easily get the corresponding array.
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https://github.com/femtotrader/TimeSeriesIO.jl/blob/master/src/stream_timearray.jl
https://github.com/femtotrader/TimeSeriesIO.jl/blob/master/src/stream_timearray_ohlcv.jl
PS: only changing values…
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```julia
using Distributed
addprocs(4)
@everywhere using JuliaDB
loadtable("some.csv", chunks=4)
# distributed table with 1 chunk
```
I was expecting more than one chunk.
As mentioned on s…
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Ironically, the "dropmissing" function doesn't appear when I try to use it:
```
julia> using JuliaDB
julia> dropmissing
ERROR: UndefVarError: dropmissing not defined
```
Using Julia 1.6.0 on Arc…
ghost updated
3 years ago
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Included a runnable MWE. The file is less than 1mb but just seems to hang in the terminal in Julia 1.2.0 Windows 10, but is working fine on Julia 1.1.1
```julia
using JuliaDB, Dagger
##########…
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I have a large (~20GB) JuliaDB table saved in 8 chunks that I am now trying to perform some summary functions on. For example, ```:species``` is a column of Strings and I would like to know how many i…
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When working with a very large dataset, I noticed that while JuliaDB was able to avoid swapping when ingesting from CSV files, it started swapping when I loaded the same data from binary with `load`.
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Cannot add a row to a loaded table:
```julia
using JuliaDB
t = table((x = [1], y = [2]))
save(t, "tmp.jdb")
t = load("tmp.jdb")
push!(rows(t), (x = 3, y = 4))
ERROR: cannot resize array with sh…