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Posted to commits@arrow.apache.org by ag...@apache.org on 2023/01/17 21:57:07 UTC
[arrow-datafusion] branch master updated: Minor: comma engineering in Readme (#4954)
This is an automated email from the ASF dual-hosted git repository.
agrove pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/arrow-datafusion.git
The following commit(s) were added to refs/heads/master by this push:
new 097523f70 Minor: comma engineering in Readme (#4954)
097523f70 is described below
commit 097523f7028121a9aeb594b32f17651244c46786
Author: Andrew Lamb <an...@nerdnetworks.org>
AuthorDate: Tue Jan 17 22:57:02 2023 +0100
Minor: comma engineering in Readme (#4954)
---
README.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
index 237c21aa4..05fb3cbb7 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,7 @@ DataFusion is a very fast, extensible query engine for building high-quality dat
[Rust](http://rustlang.org), using the [Apache Arrow](https://arrow.apache.org)
in-memory format.
-DataFusion offers SQL and Dataframe APIs, excellent [performance](https://benchmark.clickhouse.com/), built-in support for CSV, Parquet JSON, and Avro, extensive customization, and a great community.
+DataFusion offers SQL and Dataframe APIs, excellent [performance](https://benchmark.clickhouse.com/), built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and a great community.
[![Coverage Status](https://codecov.io/gh/apache/arrow-datafusion/rust/branch/master/graph/badge.svg)](https://codecov.io/gh/apache/arrow-datafusion?branch=master)
@@ -97,7 +97,7 @@ when DataFusion might be be suitable and unsuitable for your needs:
it is written in C/C++ and does not include a SQL frontend or planning /optimization
framework.
-- [DataBend](https://github.com/datafuselabs/databend) is a complete,
+- [DataBend](https://github.com/datafuselabs/databend) is a complete
database system. Like DataFusion it is also written in Rust and
utilizes the Apache Arrow memory model, but unlike DataFusion it
targets end-users rather than developers of other database systems.