# JuliaDB Questions/Issues

**URL:** https://discourse.julialang.org/t/juliadb-questions-issues/24785
**Category:** New to Julia
**Tags:** package
**Created:** [May 30, 2019, 9:28pm UTC](https://discourse.julialang.org/t/juliadb-questions-issues/24785 "2019-05-30T21:28:02Z")
**Posts on this page:** 1
**Showing post:** 13

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### Author: ![MaximilianJHuber](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/maximilianjhuber/32/2579_2.png) [@MaximilianJHuber](https://discourse.julialang.org/u/MaximilianJHuber)
#### Post date: [July 2, 2019, 3:50pm UTC](https://discourse.julialang.org/t/juliadb-questions-issues/24785/13 "2019-07-02T15:50:34Z")

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If you have a single large file there are two ways to go about what you want:

- Read the file into JuliaDB with `loadtable` in one go and call [`Dagger.distribute`](https://juliacomputing.github.io/JuliaDB.jl/latest/api/#Dagger.distribute-Tuple%7BIndexedTable,Any%7D) on that table. The only question is whether your memory can take it. If `loadtable` fails, maybe consider TextParse.jl or CSV.jl which will yield a DataFrame which you can [turn into](https://discourse.julialang.org/t/how-to-create-juliadb-table-from-dataframe/10334) a JuliaDB table.

- Split the CSV file first. Write a short piece of code that splits your large file into many small files and use `loadtable`s distributed functionality.

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