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Posted to commits@arrow.apache.org by np...@apache.org on 2021/05/01 17:12:34 UTC

[arrow] branch master updated: [MINOR][Julia] Fix typo in docs

This is an automated email from the ASF dual-hosted git repository.

npr pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/arrow.git


The following commit(s) were added to refs/heads/master by this push:
     new 4363fef  [MINOR][Julia] Fix typo in docs
4363fef is described below

commit 4363fefe46dc357a9013f0f4bcdc235e1e2e8124
Author: Stephen <sg...@gmail.com>
AuthorDate: Sat May 1 12:11:11 2021 -0500

    [MINOR][Julia] Fix typo in docs
---
 julia/Arrow/docs/src/manual.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/julia/Arrow/docs/src/manual.md b/julia/Arrow/docs/src/manual.md
index 8f49f14..b819a1b 100644
--- a/julia/Arrow/docs/src/manual.md
+++ b/julia/Arrow/docs/src/manual.md
@@ -2,7 +2,7 @@
 
 The goal of this documentation is to provide a brief introduction to the arrow data format, then provide a walk-through of the functionality provided in the Arrow.jl Julia package, with an aim to expose a little of the machinery "under the hood" to help explain how things work and how that influences real-world use-cases for the arrow data format.
 
-The best place to learn about the Apache arrow project is [the website itself](https://arrow.apache.org/), specifically the data format [specification](https://arrow.apache.org/docs/format/Columnar.html). Put briefly, the arrow project provides a formal speficiation for how columnar, "table" data can be laid out efficiently in memory to standardize and maximize the ability to share data across languages/platforms. In the current [apache/arrow GitHub repository](https://github.com/apache/ [...]
+The best place to learn about the Apache arrow project is [the website itself](https://arrow.apache.org/), specifically the data format [specification](https://arrow.apache.org/docs/format/Columnar.html). Put briefly, the arrow project provides a formal specification for how columnar, "table" data can be laid out efficiently in memory to standardize and maximize the ability to share data across languages/platforms. In the current [apache/arrow GitHub repository](https://github.com/apache [...]
 
 The [Arrow.jl](https://github.com/JuliaData/Arrow.jl) Julia package is another implementation, allowing the ability to both read and write data in the arrow format. As a data format, arrow specifies an exact memory layout to be used for columnar table data, and as such, "reading" involves custom Julia objects ([`Arrow.Table`](@ref) and [`Arrow.Stream`](@ref)), which read the *metadata* of an "arrow memory blob", then *wrap* the array data contained therein, having learned the type and si [...]