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The following commit(s) were added to refs/heads/master by this push:
new 5e59082af55 [doc](arrow-flight-sql) add production warning and
tracking issue (#3984)
5e59082af55 is described below
commit 5e59082af558716dcf4abd741162960d16dbde46
Author: Mingyu Chen (Rayner) <[email protected]>
AuthorDate: Wed Jul 15 14:36:35 2026 +0800
[doc](arrow-flight-sql) add production warning and tracking issue (#3984)
## Summary
- clarify that the experimental Arrow Flight SQL feature is not
recommended for production use
- direct user feedback to the Arrow Flight SQL tracking issue,
apache/doris#65615
- keep the current and 4.x English and Chinese documentation in sync
## Validation
- `node scripts/docs-governance/report.js --files <four Arrow Flight SQL
docs> --format github`
- `git diff --check upstream-apache/master...HEAD`
---
docs/connection-integration/arrow-flight-sql.md | 2 +-
.../current/connection-integration/arrow-flight-sql.md | 2 +-
.../version-4.x/connection-integration/arrow-flight-sql.md | 2 +-
versioned_docs/version-4.x/connection-integration/arrow-flight-sql.md | 2 +-
4 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/docs/connection-integration/arrow-flight-sql.md
b/docs/connection-integration/arrow-flight-sql.md
index d69ae777787..e35c9fe2737 100644
--- a/docs/connection-integration/arrow-flight-sql.md
+++ b/docs/connection-integration/arrow-flight-sql.md
@@ -23,7 +23,7 @@
<!-- Applicable scenarios: High-speed read of Doris data / Python/Java
integration / BI tool integration / Troubleshooting -->
:::caution Experimental feature
-The Arrow Flight SQL high-speed data transmission capability described in this
document is currently an **experimental feature**. If you encounter any issues
during use, please report them through the mailing list or [GitHub
Issue](https://github.com/apache/doris/issues).
+The Arrow Flight SQL high-speed data transmission capability described in this
document is currently an **experimental feature**. It is not recommended for
production use. If you encounter any issues during use, please report them
through the mailing list or [GitHub
Issue](https://github.com/apache/doris/issues/65615).
:::
Starting from Doris 2.1, a high-speed data transmission link based on the
Arrow Flight SQL protocol has been implemented, allowing multiple languages to
read large batches of data from Doris at high speed using SQL. Compared with
the MySQL Client or JDBC/ODBC driver solutions, performance improves by tens to
hundreds of times in some scenarios. Arrow Flight SQL also provides a generic
JDBC driver that can interact seamlessly with databases that follow the same
protocol.
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/connection-integration/arrow-flight-sql.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/connection-integration/arrow-flight-sql.md
index ffad1a813c1..552b2521796 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/connection-integration/arrow-flight-sql.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/connection-integration/arrow-flight-sql.md
@@ -23,7 +23,7 @@
<!-- 适用场景: 高速读取 Doris 数据 / Python/Java 接入 / BI 工具集成 / 故障排查 -->
:::caution 实验特性
-本文所述的 Arrow Flight SQL 高速数据传输能力目前为**实验特性**，使用过程中如遇到问题，欢迎通过邮件组或 [GitHub
Issue](https://github.com/apache/doris/issues) 反馈。
+本文所述的 Arrow Flight SQL 高速数据传输能力目前为**实验特性**。不建议在生产环境中使用。使用过程中如遇到问题，欢迎通过邮件组或
[GitHub Issue](https://github.com/apache/doris/issues/65615) 反馈。
:::
自 Doris 2.1 版本起，基于 Arrow Flight SQL 协议实现了高速数据传输链路，支持多种语言使用 SQL 从 Doris
高速读取大批量数据。相比 MySQL Client 或 JDBC/ODBC 驱动方案，部分场景性能提升数十倍至百倍。Arrow Flight SQL
还提供通用 JDBC 驱动，可与同样遵循该协议的数据库无缝交互。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/connection-integration/arrow-flight-sql.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/connection-integration/arrow-flight-sql.md
index ffad1a813c1..552b2521796 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/connection-integration/arrow-flight-sql.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/connection-integration/arrow-flight-sql.md
@@ -23,7 +23,7 @@
<!-- 适用场景: 高速读取 Doris 数据 / Python/Java 接入 / BI 工具集成 / 故障排查 -->
:::caution 实验特性
-本文所述的 Arrow Flight SQL 高速数据传输能力目前为**实验特性**，使用过程中如遇到问题，欢迎通过邮件组或 [GitHub
Issue](https://github.com/apache/doris/issues) 反馈。
+本文所述的 Arrow Flight SQL 高速数据传输能力目前为**实验特性**。不建议在生产环境中使用。使用过程中如遇到问题，欢迎通过邮件组或
[GitHub Issue](https://github.com/apache/doris/issues/65615) 反馈。
:::
自 Doris 2.1 版本起，基于 Arrow Flight SQL 协议实现了高速数据传输链路，支持多种语言使用 SQL 从 Doris
高速读取大批量数据。相比 MySQL Client 或 JDBC/ODBC 驱动方案，部分场景性能提升数十倍至百倍。Arrow Flight SQL
还提供通用 JDBC 驱动，可与同样遵循该协议的数据库无缝交互。
diff --git
a/versioned_docs/version-4.x/connection-integration/arrow-flight-sql.md
b/versioned_docs/version-4.x/connection-integration/arrow-flight-sql.md
index d69ae777787..e35c9fe2737 100644
--- a/versioned_docs/version-4.x/connection-integration/arrow-flight-sql.md
+++ b/versioned_docs/version-4.x/connection-integration/arrow-flight-sql.md
@@ -23,7 +23,7 @@
<!-- Applicable scenarios: High-speed read of Doris data / Python/Java
integration / BI tool integration / Troubleshooting -->
:::caution Experimental feature
-The Arrow Flight SQL high-speed data transmission capability described in this
document is currently an **experimental feature**. If you encounter any issues
during use, please report them through the mailing list or [GitHub
Issue](https://github.com/apache/doris/issues).
+The Arrow Flight SQL high-speed data transmission capability described in this
document is currently an **experimental feature**. It is not recommended for
production use. If you encounter any issues during use, please report them
through the mailing list or [GitHub
Issue](https://github.com/apache/doris/issues/65615).
:::
Starting from Doris 2.1, a high-speed data transmission link based on the
Arrow Flight SQL protocol has been implemented, allowing multiple languages to
read large batches of data from Doris at high speed using SQL. Compared with
the MySQL Client or JDBC/ODBC driver solutions, performance improves by tens to
hundreds of times in some scenarios. Arrow Flight SQL also provides a generic
JDBC driver that can interact seamlessly with databases that follow the same
protocol.
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