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new 576da1d669 Wordsmith project description (#12778)
576da1d669 is described below
commit 576da1d6699b7f431f9e56581b2b87a06a0e37e1
Author: Matthew Turner <[email protected]>
AuthorDate: Fri Oct 11 19:33:49 2024 -0400
Wordsmith project description (#12778)
* Update description
* Fmt
* Update README.md
Co-authored-by: Andrew Lamb <[email protected]>
* refine
---------
Co-authored-by: Andrew Lamb <[email protected]>
---
README.md | 16 +++++++---------
docs/source/index.rst | 12 +++++-------
2 files changed, 12 insertions(+), 16 deletions(-)
diff --git a/README.md b/README.md
index 5d0b096c1d..30505d7ca1 100644
--- a/README.md
+++ b/README.md
@@ -44,8 +44,9 @@
DataFusion is an extensible query engine written in [Rust] that
uses [Apache Arrow] as its in-memory format.
-The DataFusion libraries in this repository are used to build data-centric
system software. DataFusion also provides the
-following subprojects, which are packaged versions of DataFusion intended for
end users.
+This crate provides libraries and binaries for developers building fast and
+feature rich database and analytic systems, customized to particular workloads.
+See [use cases] for examples. The following related subprojects target end
users:
- [DataFusion Python](https://github.com/apache/datafusion-python/) offers a
Python interface for SQL and DataFrame
queries.
@@ -54,13 +55,10 @@ following subprojects, which are packaged versions of
DataFusion intended for en
- [DataFusion Comet](https://github.com/apache/datafusion-comet/) is an
accelerator for Apache Spark based on
DataFusion.
-The target audience for the DataFusion crates in this repository are
-developers building fast and feature rich database and analytic systems,
-customized to particular workloads. See [use cases] for examples.
-
-DataFusion offers [SQL] and [`Dataframe`] APIs,
-excellent [performance], built-in support for CSV, Parquet, JSON, and Avro,
-extensive customization, and a great community.
+"Out of the box,"
+DataFusion offers [SQL] and [`Dataframe`] APIs, excellent [performance],
+built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and
+a great community.
DataFusion features a full query planner, a columnar, streaming,
multi-threaded,
vectorized execution engine, and partitioned data sources. You can
diff --git a/docs/source/index.rst b/docs/source/index.rst
index f11670d259..27dd58cf50 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -36,9 +36,11 @@ Apache DataFusion
DataFusion is an extensible query engine written in `Rust
<http://rustlang.org>`_ that
uses `Apache Arrow <https://arrow.apache.org>`_ as its in-memory format.
-This documentation is for the `core DataFusion project
<https://github.com/apache/datafusion>`_, which contains
-libraries that are used to build data-centric system software. DataFusion also
offers the following subprojects, which
-provide packaged versions of DataFusion intended for end users, and these have
separate documentation.
+The documentation on this site is for the `core DataFusion project
<https://github.com/apache/datafusion>`_, which contains
+libraries and binaries for developers building fast and feature rich database
and analytic systems,
+customized to particular workloads. See `use cases
<https://datafusion.apache.org/user-guide/introduction.html#use-cases>`_ for
examples.
+
+The following related subprojects target end users and have separate
documentation.
- `DataFusion Python <https://datafusion.apache.org/python/>`_ offers a Python
interface for SQL and DataFrame
queries.
@@ -47,10 +49,6 @@ provide packaged versions of DataFusion intended for end
users, and these have s
- `DataFusion Comet <https://datafusion.apache.org/comet/>`_ is an accelerator
for Apache Spark based on
DataFusion.
-DataFusion's target users are
-developers building fast and feature rich database and analytic systems,
-customized to particular workloads. See `use cases
<https://datafusion.apache.org/user-guide/introduction.html#use-cases>`_ for
examples.
-
"Out of the box," DataFusion offers `SQL
<https://datafusion.apache.org/user-guide/sql/index.html>`_
and `Dataframe
<https://docs.rs/datafusion/latest/datafusion/dataframe/struct.DataFrame.html>`_
APIs,
excellent `performance <https://benchmark.clickhouse.com/>`_, built-in support
for CSV, Parquet, JSON, and Avro,
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