You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@arrow.apache.org by al...@apache.org on 2022/10/05 19:29:08 UTC
[arrow-site] branch master updated: [Minor] Tweak markdown and fix typo (#252)
This is an automated email from the ASF dual-hosted git repository.
alamb pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/arrow-site.git
The following commit(s) were added to refs/heads/master by this push:
new a80c2bfafe [Minor] Tweak markdown and fix typo (#252)
a80c2bfafe is described below
commit a80c2bfafe9de4623114baf5beb6942ca3437ecd
Author: Andrew Lamb <an...@nerdnetworks.org>
AuthorDate: Wed Oct 5 15:29:03 2022 -0400
[Minor] Tweak markdown and fix typo (#252)
---
_posts/2022-10-05-arrow-parquet-encoding-part-1.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/_posts/2022-10-05-arrow-parquet-encoding-part-1.md b/_posts/2022-10-05-arrow-parquet-encoding-part-1.md
index 24316f3a68..9f7957c840 100644
--- a/_posts/2022-10-05-arrow-parquet-encoding-part-1.md
+++ b/_posts/2022-10-05-arrow-parquet-encoding-part-1.md
@@ -2,7 +2,7 @@
layout: post
title: "Arrow and Parquet Part 1: Primitive Types and Nullability"
date: "2022-10-05 00:00:00"
-author: [tustvold, alamb]
+author: "tustvold and alamb"
categories: [parquet, arrow]
---
<!--
@@ -36,7 +36,7 @@ Historically analytic processing primarily focused on querying data with a tabul
As of version [20.0.0](https://crates.io/crates/arrow/20.0.0), released in August 2022, the Rust Arrow implementation for reading structured types is feature complete. Instructions for getting started can be found [here](https://docs.rs/parquet/latest/parquet/arrow/index.html) and feel free to raise any issues on our [bugtracker](https://github.com/apache/arrow-rs/issues).
-In this series we will explain how Parquet and Arrow represent nested data, highlighting the similarities and differences between them, and giving a flavor of the practicalities of converting between the formats.
+In this series we will explain how Parquet and Arrow represent nested data, highlighting the similarities and differences between them, and give a flavor of the practicalities of converting between the formats.
## Columnar vs Record-Oriented