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new c0f0e47966 Publish built docs triggered by
97ad0ad77d89a66e24a435667d2d43f19bb8794d
c0f0e47966 is described below
commit c0f0e47966625fa6a4d7c0eab7fd6e7c3fe79955
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Thu Sep 12 15:54:37 2024 +0000
Publish built docs triggered by 97ad0ad77d89a66e24a435667d2d43f19bb8794d
---
_sources/index.rst.txt | 25 +++++++++++++++++--------
index.html | 21 ++++++++++++++-------
searchindex.js | 2 +-
3 files changed, 32 insertions(+), 16 deletions(-)
diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt
index bb5ea430a3..4c67e808a4 100644
--- a/_sources/index.rst.txt
+++ b/_sources/index.rst.txt
@@ -32,14 +32,23 @@ Apache DataFusion
<a class="github-button" href="https://github.com/apache/datafusion/fork";
data-size="large" data-show-count="true" aria-label="Fork apache/datafusion on
GitHub">Fork</a>
</p>
-DataFusion is a very fast, extensible query engine for building high-quality
data-centric systems in
-`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 is an extensible query engine written in `Rust
<http://rustlang.org>`_ that
+uses `Apache Arrow <https://arrow.apache.org>`_ as its in-memory format.
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,
+extensive customization, and a great community.
+`Python Bindings <https://github.com/apache/datafusion-python>`_ are also
available.
+
+DataFusion features a full query planner, a columnar, streaming,
multi-threaded,
+vectorized execution engine, and partitioned data sources. You can
+customize DataFusion at almost all points including additional data sources,
+query languages, functions, custom operators and more.
+See the `Architecture
<https://datafusion.apache.org/contributor-guide/architecture.html>`_ section
for more details.
To get started, see
diff --git a/index.html b/index.html
index 495bcd783f..6cc0ae2142 100644
--- a/index.html
+++ b/index.html
@@ -513,13 +513,20 @@
<a class="github-button" href="https://github.com/apache/datafusion";
data-size="large" data-show-count="true" aria-label="Star apache/datafusion on
GitHub">Star</a>
<!-- Place this tag where you want the button to render. -->
<a class="github-button" href="https://github.com/apache/datafusion/fork";
data-size="large" data-show-count="true" aria-label="Fork apache/datafusion on
GitHub">Fork</a>
-</p><p>DataFusion is a very fast, extensible query engine for building
high-quality data-centric systems in
-<a class="reference external" href="http://rustlang.org";>Rust</a>, using the
<a class="reference external" href="https://arrow.apache.org";>Apache Arrow</a>
-in-memory format.</p>
-<p>DataFusion offers SQL and Dataframe APIs, excellent
-<a class="reference external"
href="https://benchmark.clickhouse.com";>performance</a>, built-in support for
-CSV, Parquet, JSON, and Avro, extensive customization, and a great
-community.</p>
+</p><p>DataFusion is an extensible query engine written in <a class="reference
external" href="http://rustlang.org";>Rust</a> that
+uses <a class="reference external" href="https://arrow.apache.org";>Apache
Arrow</a> as its in-memory format. DataFusion’s target users are
+developers building fast and feature rich database and analytic systems,
+customized to particular workloads. See <a class="reference external"
href="https://datafusion.apache.org/user-guide/introduction.html#use-cases";>use
cases</a> for examples.</p>
+<p>“Out of the box,” DataFusion offers <a class="reference external"
href="https://datafusion.apache.org/user-guide/sql/index.html";>SQL</a>
+and <a class="reference external"
href="https://docs.rs/datafusion/latest/datafusion/dataframe/struct.DataFrame.html";>Dataframe</a>
APIs,
+excellent <a class="reference external"
href="https://benchmark.clickhouse.com/";>performance</a>, built-in support for
CSV, Parquet, JSON, and Avro,
+extensive customization, and a great community.
+<a class="reference external"
href="https://github.com/apache/datafusion-python";>Python Bindings</a> are also
available.</p>
+<p>DataFusion features a full query planner, a columnar, streaming,
multi-threaded,
+vectorized execution engine, and partitioned data sources. You can
+customize DataFusion at almost all points including additional data sources,
+query languages, functions, custom operators and more.
+See the <a class="reference external"
href="https://datafusion.apache.org/contributor-guide/architecture.html";>Architecture</a>
section for more details.</p>
<p>To get started, see</p>
<ul class="simple">
<li><p>The <a class="reference external"
href="user-guide/example-usage.html">example usage</a> section of the user
guide and the <a class="reference external"
href="https://github.com/apache/datafusion/tree/main/datafusion-examples";>datafusion-examples</a>
directory.</p></li>
diff --git a/searchindex.js b/searchindex.js
index a72450294e..cf9d014c7d 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"!=": [[45, "op-neq"]], "!~": [[45,
"op-re-not-match"]], "!~*": [[45, "op-re-not-match-i"]], "!~~": [[45, "id18"]],
"!~~*": [[45, "id19"]], "#": [[45, "op-bit-xor"]], "%": [[45, "op-modulo"]],
"&": [[45, "op-bit-and"]], "(relation, name) tuples in logical fields and
logical columns are unique": [[9,
"relation-name-tuples-in-logical-fields-and-logical-columns-are-unique"]], "*":
[[45, "op-multiply"]], "+": [[45, "op-plus"]], "-": [[45, "op-minus"]], "/":
[[4 [...]
\ No newline at end of file
+Search.setIndex({"alltitles": {"!=": [[45, "op-neq"]], "!~": [[45,
"op-re-not-match"]], "!~*": [[45, "op-re-not-match-i"]], "!~~": [[45, "id18"]],
"!~~*": [[45, "id19"]], "#": [[45, "op-bit-xor"]], "%": [[45, "op-modulo"]],
"&": [[45, "op-bit-and"]], "(relation, name) tuples in logical fields and
logical columns are unique": [[9,
"relation-name-tuples-in-logical-fields-and-logical-columns-are-unique"]], "*":
[[45, "op-multiply"]], "+": [[45, "op-plus"]], "-": [[45, "op-minus"]], "/":
[[4 [...]
\ No newline at end of file
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