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The following commit(s) were added to refs/heads/asf-site by this push:
     new 0ea5ca7272 Publish built docs triggered by 
341ec9a2fc14fe2d2ccc66e5302fc3ae950acc9c
0ea5ca7272 is described below

commit 0ea5ca7272aad4222fbb254d2f8faf217dea93a5
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Sat Sep 28 16:08:42 2024 +0000

    Publish built docs triggered by 341ec9a2fc14fe2d2ccc66e5302fc3ae950acc9c
---
 _sources/user-guide/introduction.md.txt | 2 +-
 searchindex.js                          | 2 +-
 user-guide/introduction.html            | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/_sources/user-guide/introduction.md.txt 
b/_sources/user-guide/introduction.md.txt
index 8f8983061e..7c975055d1 100644
--- a/_sources/user-guide/introduction.md.txt
+++ b/_sources/user-guide/introduction.md.txt
@@ -96,6 +96,7 @@ Here are some active projects using DataFusion:
 
 - [Arroyo](https://github.com/ArroyoSystems/arroyo) Distributed stream 
processing engine in Rust
 - [Ballista](https://github.com/apache/datafusion-ballista) Distributed SQL 
Query Engine
+- [Blaze](https://github.com/kwai/blaze) The Blaze accelerator for Apache 
Spark leverages native vectorized execution to accelerate query processing
 - [CnosDB](https://github.com/cnosdb/cnosdb) Open Source Distributed Time 
Series Database
 - [Comet](https://github.com/apache/datafusion-comet) Apache Spark native 
query execution plugin
 - [Cube Store](https://github.com/cube-js/cube.js/tree/master/rust)
@@ -124,7 +125,6 @@ Here are some active projects using DataFusion:
 Here are some less active projects that used DataFusion:
 
 - [bdt](https://github.com/datafusion-contrib/bdt) Boring Data Tool
-- [Blaze](https://github.com/blaze-init/blaze) Spark accelerator with 
DataFusion at its core
 - [Cloudfuse Buzz](https://github.com/cloudfuse-io/buzz-rust)
 - [datafusion-tui](https://github.com/datafusion-contrib/datafusion-tui) Text 
UI for DataFusion
 - [Flock](https://github.com/flock-lab/flock)
diff --git a/searchindex.js b/searchindex.js
index 708ada48fc..498b66af91 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"!=": [[46, "op-neq"]], "!~": [[46, 
"op-re-not-match"]], "!~*": [[46, "op-re-not-match-i"]], "!~~": [[46, "id18"]], 
"!~~*": [[46, "id19"]], "#": [[46, "op-bit-xor"]], "%": [[46, "op-modulo"]], 
"&": [[46, "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"]], "*": 
[[46, "op-multiply"]], "+": [[46, "op-plus"]], "-": [[46, "op-minus"]], "/": 
[[4 [...]
\ No newline at end of file
+Search.setIndex({"alltitles": {"!=": [[46, "op-neq"]], "!~": [[46, 
"op-re-not-match"]], "!~*": [[46, "op-re-not-match-i"]], "!~~": [[46, "id18"]], 
"!~~*": [[46, "id19"]], "#": [[46, "op-bit-xor"]], "%": [[46, "op-modulo"]], 
"&": [[46, "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"]], "*": 
[[46, "op-multiply"]], "+": [[46, "op-plus"]], "-": [[46, "op-minus"]], "/": 
[[4 [...]
\ No newline at end of file
diff --git a/user-guide/introduction.html b/user-guide/introduction.html
index 5b45c82343..3f75c83e3c 100644
--- a/user-guide/introduction.html
+++ b/user-guide/introduction.html
@@ -650,6 +650,7 @@ parellelized streaming execution plans, file format 
support, etc.</p>
 <ul class="simple">
 <li><p><a class="reference external" 
href="https://github.com/ArroyoSystems/arroyo";>Arroyo</a> Distributed stream 
processing engine in Rust</p></li>
 <li><p><a class="reference external" 
href="https://github.com/apache/datafusion-ballista";>Ballista</a> Distributed 
SQL Query Engine</p></li>
+<li><p><a class="reference external" 
href="https://github.com/kwai/blaze";>Blaze</a> The Blaze accelerator for Apache 
Spark leverages native vectorized execution to accelerate query 
processing</p></li>
 <li><p><a class="reference external" 
href="https://github.com/cnosdb/cnosdb";>CnosDB</a> Open Source Distributed Time 
Series Database</p></li>
 <li><p><a class="reference external" 
href="https://github.com/apache/datafusion-comet";>Comet</a> Apache Spark native 
query execution plugin</p></li>
 <li><p><a class="reference external" 
href="https://github.com/cube-js/cube.js/tree/master/rust";>Cube 
Store</a></p></li>
@@ -678,7 +679,6 @@ parellelized streaming execution plans, file format 
support, etc.</p>
 <p>Here are some less active projects that used DataFusion:</p>
 <ul class="simple">
 <li><p><a class="reference external" 
href="https://github.com/datafusion-contrib/bdt";>bdt</a> Boring Data 
Tool</p></li>
-<li><p><a class="reference external" 
href="https://github.com/blaze-init/blaze";>Blaze</a> Spark accelerator with 
DataFusion at its core</p></li>
 <li><p><a class="reference external" 
href="https://github.com/cloudfuse-io/buzz-rust";>Cloudfuse Buzz</a></p></li>
 <li><p><a class="reference external" 
href="https://github.com/datafusion-contrib/datafusion-tui";>datafusion-tui</a> 
Text UI for DataFusion</p></li>
 <li><p><a class="reference external" 
href="https://github.com/flock-lab/flock";>Flock</a></p></li>


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