Re: [PR] Docs: add a note about using `copy()` to get a `DataFrame` where the columns are regular `Vector`s [arrow-julia]

["DilumAluthge (via GitHub)" <gi...@apache.org>]

DilumAluthge commented on code in PR #487:
URL: https://github.com/apache/arrow-julia/pull/487#discussion_r1367961602


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docs/src/manual.md:
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@@ -66,6 +66,7 @@ So, what can you do with an `Arrow.Table` full of data? Quite a bit actually!
 Because `Arrow.Table` implements the [Tables.jl](https://juliadata.github.io/Tables.jl/stable/) interface, it opens up a world of integrations for using arrow data. A few examples include:
 
 * `df = DataFrame(Arrow.Table(file))`: Build a [`DataFrame`](https://juliadata.github.io/DataFrames.jl/stable/), using the arrow vectors themselves; this allows utilizing a host of DataFrames.jl functionality directly on arrow data; grouping, joining, selecting, etc.
+* `df = copy(DataFrame(Arrow.Table(file)))`: Build a [`DataFrame`](https://juliadata.github.io/DataFrames.jl/stable/), where the columns are regular `Vector`s. This requires that you have enough memory to load the entire DataFrame into memory.

Review Comment:
   @quinnj @bkamins `PooledVector` comes from PooledArrays.jl (https://github.com/JuliaData/PooledArrays.jl), right?



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