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new 1847e9f039b Update users description of AWS and fix typo (#2246)
1847e9f039b is described below
commit 1847e9f039b67a226281dda3abb79012b2f125cb
Author: KassieZ <139741991+kass...@users.noreply.github.com>
AuthorDate: Mon Mar 31 20:38:10 2025 +0800
Update users description of AWS and fix typo (#2246)
## Versions
- [ ] dev
- [ ] 3.0
- [ ] 2.1
- [ ] 2.0
## Languages
- [ ] Chinese
- [ ] English
## Docs Checklist
- [ ] Checked by AI
- [ ] Test Cases Built
---
docs/db-connect/arrow-flight-sql-connect.md | 2 +-
.../current/db-connect/arrow-flight-sql-connect.md | 10 +++++-----
.../version-2.1/db-connect/arrow-flight-sql-connect.md | 10 +++++-----
.../version-3.0/db-connect/arrow-flight-sql-connect.md | 10 +++++-----
src/constant/users.data.json | 4 ++--
.../version-2.1/db-connect/arrow-flight-sql-connect.md | 2 +-
.../version-3.0/db-connect/arrow-flight-sql-connect.md | 2 +-
7 files changed, 20 insertions(+), 20 deletions(-)
diff --git a/docs/db-connect/arrow-flight-sql-connect.md
b/docs/db-connect/arrow-flight-sql-connect.md
index d2ba18e81ce..82c6034e7c6 100644
--- a/docs/db-connect/arrow-flight-sql-connect.md
+++ b/docs/db-connect/arrow-flight-sql-connect.md
@@ -502,7 +502,7 @@ If the query is just a simple Select to pull data from
Doris, without Join, Sort
1. Execute `explain sql`, and the ScanOperator in the query plan returned by
FE contains all Tablet ID Lists of Scan.
2. Split the original SQL into multiple SQLs based on the Tablet ID List
above. Each SQL only reads part of the Tablet. The usage is similar to `SELECT
* FROM t1 TABLET(10001,10002) limit 1000;`. The multiple SQLs after splitting
can be executed in parallel. Refer to [Support select table
sample](https://github.com/apache/doris/pull/10170).
-If the outermost layer of the query is aggregation, the SQL is similar to
`select k1, sum(k2) from xxx group by k1`. After Doris v3.4, execute `set
enable_parallel_result_sink=true;` to allow each BE node of a query to return
query results independently. After receiving the Endpoint list returned by FE,
ADBC Client pulls results from multiple BE nodes in parallel. However, please
note that when the aggregation result is very small, returning multiple BEs
will increase the pressure on R [...]
+If the outermost layer of the query is aggregation, the SQL is similar to
`select k1, sum(k2) from xxx group by k1`. After Doris v3.0.4, execute `set
enable_parallel_result_sink=true;` to allow each BE node of a query to return
query results independently. After receiving the Endpoint list returned by FE,
ADBC Client pulls results from multiple BE nodes in parallel. However, please
note that when the aggregation result is very small, returning multiple BEs
will increase the pressure on [...]
### Multiple BEs share the same IP accessible from outside the cluster
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/db-connect/arrow-flight-sql-connect.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/db-connect/arrow-flight-sql-connect.md
index 49afda3361e..dcca602af1e 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/db-connect/arrow-flight-sql-connect.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/db-connect/arrow-flight-sql-connect.md
@@ -475,7 +475,7 @@ Arrow Flight 官方目前没有支持 Spark 和 Flink 的计划（见 [GitHub Is
### 支持 BI 工具
-自 Doris v2.1.8 开始，支持 DBeaver 等 BI 工具使用 `arrow-flight-sql` 协议连接 Doris。DBeaver
使用 `arrow-flight-sql` Driver 连接 Doris 的方法参考:
[how-to-use-jdbc-driver-with-dbeaver-client](https://www.dremio.com/blog/jdbc-driver-for-arrow-flight-sql/#h-how-to-use-jdbc-driver-with-dbeaver-client)，[client-applications/clients/dbeaver/](https://docs.dremio.com/current/sonar/client-applications/clients/dbeaver/?_gl=1*1epgwh0*_gcl_au*MjUyNjE1ODM0LjE3MzQwMDExNDg)。
+自 Doris v2.1.8 开始，支持 DBeaver 等 BI 工具使用 `arrow-flight-sql` 协议连接 Doris。DBeaver
使用 `arrow-flight-sql` Driver 连接 Doris
的方法参考：[how-to-use-jdbc-driver-with-dbeaver-client](https://www.dremio.com/blog/jdbc-driver-for-arrow-flight-sql/#h-how-to-use-jdbc-driver-with-dbeaver-client)，[client-applications/clients/dbeaver/](https://docs.dremio.com/current/sonar/client-applications/clients/dbeaver/?_gl=1*1epgwh0*_gcl_au*MjUyNjE1ODM0LjE3MzQwMDExNDg)。
## 扩展应用
@@ -487,7 +487,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
1. 执行 `explain sql`，FE 返回的查询计划中 ScanOperator 包含 Scan 的所有 Tablet ID List。
2. 依据上面的 Tablet ID List 将原始 SQL 拆分为多个 SQL，每个 SQL 只读取部分 Tablet，用法类似 `SELECT
* FROM t1 TABLET(10001,10002) limit 1000;`，拆分后的多个 SQL 可以并行执行。参考 [Support select
table sample](https://github.com/apache/doris/pull/10170)。
-如果查询最外层是聚合，SQL 类似 `select k1, sum(k2) from xxx group by k1`，Doris v3.4 版本后，执行
`set enable_parallel_result_sink=true;` 后允许一个查询的每个 BE 节点独立返回查询结果，ADBC Client 收到
FE 返回的 Endpoint 列表后并行从多个 BE 节点拉取结果。不过注意当聚合结果很小时，多 BE 返回会增加 RPC 的压力。具体实现参考
[support parallel result
sink](https://github.com/apache/doris/pull/36053)。理论上除了最外层是排序的查询，其他查询都可以支持每个 BE
节点并行返回结果，不过暂时没有这方便的需求，没有更进一步实现。
+如果查询最外层是聚合，SQL 类似 `select k1, sum(k2) from xxx group by k1`，Doris v3.0.4
版本后，执行 `set enable_parallel_result_sink=true;` 后允许一个查询的每个 BE 节点独立返回查询结果，ADBC
Client 收到 FE 返回的 Endpoint 列表后并行从多个 BE 节点拉取结果。不过注意当聚合结果很小时，多 BE 返回会增加 RPC
的压力。具体实现参考 [support parallel result
sink](https://github.com/apache/doris/pull/36053)。理论上除了最外层是排序的查询，其他查询都可以支持每个 BE
节点并行返回结果，不过暂时没有这方便的需求，没有更进一步实现。
### 多 BE 共享同一个可供集群外部访问的 IP
@@ -613,7 +613,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
6. 修复 `show processlist` 显示重复的 Connection ID。
[Fix arrow-flight-sql ConnectContext to use a unified ID
#46284](https://github.com/apache/doris/pull/46284)
-7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少8小时的问题。
+7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少 8 小时的问题。
[Fix time zone issues and accuracy issues
#38215](https://github.com/apache/doris/pull/38215)
### v2.1.7
@@ -643,7 +643,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
### v2.1.5
-1. 修复Arrow Flight SQL 查询结果为空。
+1. 修复 Arrow Flight SQL 查询结果为空。
[Fix arrow flight result sink
#36827](https://github.com/apache/doris/pull/36827)
Doris v2.1.4
读取大数据量时有几率报错，问题详情见：[Questions](https://ask.selectdb.com/questions/D1Ia1/arrow-flight-sql-shi-yong-python-de-adbc-driver-lian-jie-doris-zhi-xing-cha-xun-sql-du-qu-bu-dao-shu-ju)
@@ -702,7 +702,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
6. 修复查询报错 `FE not found arrow flight schema`。
[Fix FE not found arrow flight
schema](https://github.com/apache/doris/pull/43960)
-7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少8小时的问题。
+7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少 8 小时的问题。
[Fix time zone issues and accuracy issues
#38215](https://github.com/apache/doris/pull/38215)
### v3.0.2
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/db-connect/arrow-flight-sql-connect.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/db-connect/arrow-flight-sql-connect.md
index 49afda3361e..dcca602af1e 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/db-connect/arrow-flight-sql-connect.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/db-connect/arrow-flight-sql-connect.md
@@ -475,7 +475,7 @@ Arrow Flight 官方目前没有支持 Spark 和 Flink 的计划（见 [GitHub Is
### 支持 BI 工具
-自 Doris v2.1.8 开始，支持 DBeaver 等 BI 工具使用 `arrow-flight-sql` 协议连接 Doris。DBeaver
使用 `arrow-flight-sql` Driver 连接 Doris 的方法参考:
[how-to-use-jdbc-driver-with-dbeaver-client](https://www.dremio.com/blog/jdbc-driver-for-arrow-flight-sql/#h-how-to-use-jdbc-driver-with-dbeaver-client)，[client-applications/clients/dbeaver/](https://docs.dremio.com/current/sonar/client-applications/clients/dbeaver/?_gl=1*1epgwh0*_gcl_au*MjUyNjE1ODM0LjE3MzQwMDExNDg)。
+自 Doris v2.1.8 开始，支持 DBeaver 等 BI 工具使用 `arrow-flight-sql` 协议连接 Doris。DBeaver
使用 `arrow-flight-sql` Driver 连接 Doris
的方法参考：[how-to-use-jdbc-driver-with-dbeaver-client](https://www.dremio.com/blog/jdbc-driver-for-arrow-flight-sql/#h-how-to-use-jdbc-driver-with-dbeaver-client)，[client-applications/clients/dbeaver/](https://docs.dremio.com/current/sonar/client-applications/clients/dbeaver/?_gl=1*1epgwh0*_gcl_au*MjUyNjE1ODM0LjE3MzQwMDExNDg)。
## 扩展应用
@@ -487,7 +487,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
1. 执行 `explain sql`，FE 返回的查询计划中 ScanOperator 包含 Scan 的所有 Tablet ID List。
2. 依据上面的 Tablet ID List 将原始 SQL 拆分为多个 SQL，每个 SQL 只读取部分 Tablet，用法类似 `SELECT
* FROM t1 TABLET(10001,10002) limit 1000;`，拆分后的多个 SQL 可以并行执行。参考 [Support select
table sample](https://github.com/apache/doris/pull/10170)。
-如果查询最外层是聚合，SQL 类似 `select k1, sum(k2) from xxx group by k1`，Doris v3.4 版本后，执行
`set enable_parallel_result_sink=true;` 后允许一个查询的每个 BE 节点独立返回查询结果，ADBC Client 收到
FE 返回的 Endpoint 列表后并行从多个 BE 节点拉取结果。不过注意当聚合结果很小时，多 BE 返回会增加 RPC 的压力。具体实现参考
[support parallel result
sink](https://github.com/apache/doris/pull/36053)。理论上除了最外层是排序的查询，其他查询都可以支持每个 BE
节点并行返回结果，不过暂时没有这方便的需求，没有更进一步实现。
+如果查询最外层是聚合，SQL 类似 `select k1, sum(k2) from xxx group by k1`，Doris v3.0.4
版本后，执行 `set enable_parallel_result_sink=true;` 后允许一个查询的每个 BE 节点独立返回查询结果，ADBC
Client 收到 FE 返回的 Endpoint 列表后并行从多个 BE 节点拉取结果。不过注意当聚合结果很小时，多 BE 返回会增加 RPC
的压力。具体实现参考 [support parallel result
sink](https://github.com/apache/doris/pull/36053)。理论上除了最外层是排序的查询，其他查询都可以支持每个 BE
节点并行返回结果，不过暂时没有这方便的需求，没有更进一步实现。
### 多 BE 共享同一个可供集群外部访问的 IP
@@ -613,7 +613,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
6. 修复 `show processlist` 显示重复的 Connection ID。
[Fix arrow-flight-sql ConnectContext to use a unified ID
#46284](https://github.com/apache/doris/pull/46284)
-7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少8小时的问题。
+7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少 8 小时的问题。
[Fix time zone issues and accuracy issues
#38215](https://github.com/apache/doris/pull/38215)
### v2.1.7
@@ -643,7 +643,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
### v2.1.5
-1. 修复Arrow Flight SQL 查询结果为空。
+1. 修复 Arrow Flight SQL 查询结果为空。
[Fix arrow flight result sink
#36827](https://github.com/apache/doris/pull/36827)
Doris v2.1.4
读取大数据量时有几率报错，问题详情见：[Questions](https://ask.selectdb.com/questions/D1Ia1/arrow-flight-sql-shi-yong-python-de-adbc-driver-lian-jie-doris-zhi-xing-cha-xun-sql-du-qu-bu-dao-shu-ju)
@@ -702,7 +702,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
6. 修复查询报错 `FE not found arrow flight schema`。
[Fix FE not found arrow flight
schema](https://github.com/apache/doris/pull/43960)
-7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少8小时的问题。
+7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少 8 小时的问题。
[Fix time zone issues and accuracy issues
#38215](https://github.com/apache/doris/pull/38215)
### v3.0.2
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/db-connect/arrow-flight-sql-connect.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/db-connect/arrow-flight-sql-connect.md
index 49afda3361e..dcca602af1e 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/db-connect/arrow-flight-sql-connect.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/db-connect/arrow-flight-sql-connect.md
@@ -475,7 +475,7 @@ Arrow Flight 官方目前没有支持 Spark 和 Flink 的计划（见 [GitHub Is
### 支持 BI 工具
-自 Doris v2.1.8 开始，支持 DBeaver 等 BI 工具使用 `arrow-flight-sql` 协议连接 Doris。DBeaver
使用 `arrow-flight-sql` Driver 连接 Doris 的方法参考:
[how-to-use-jdbc-driver-with-dbeaver-client](https://www.dremio.com/blog/jdbc-driver-for-arrow-flight-sql/#h-how-to-use-jdbc-driver-with-dbeaver-client)，[client-applications/clients/dbeaver/](https://docs.dremio.com/current/sonar/client-applications/clients/dbeaver/?_gl=1*1epgwh0*_gcl_au*MjUyNjE1ODM0LjE3MzQwMDExNDg)。
+自 Doris v2.1.8 开始，支持 DBeaver 等 BI 工具使用 `arrow-flight-sql` 协议连接 Doris。DBeaver
使用 `arrow-flight-sql` Driver 连接 Doris
的方法参考：[how-to-use-jdbc-driver-with-dbeaver-client](https://www.dremio.com/blog/jdbc-driver-for-arrow-flight-sql/#h-how-to-use-jdbc-driver-with-dbeaver-client)，[client-applications/clients/dbeaver/](https://docs.dremio.com/current/sonar/client-applications/clients/dbeaver/?_gl=1*1epgwh0*_gcl_au*MjUyNjE1ODM0LjE3MzQwMDExNDg)。
## 扩展应用
@@ -487,7 +487,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
1. 执行 `explain sql`，FE 返回的查询计划中 ScanOperator 包含 Scan 的所有 Tablet ID List。
2. 依据上面的 Tablet ID List 将原始 SQL 拆分为多个 SQL，每个 SQL 只读取部分 Tablet，用法类似 `SELECT
* FROM t1 TABLET(10001,10002) limit 1000;`，拆分后的多个 SQL 可以并行执行。参考 [Support select
table sample](https://github.com/apache/doris/pull/10170)。
-如果查询最外层是聚合，SQL 类似 `select k1, sum(k2) from xxx group by k1`，Doris v3.4 版本后，执行
`set enable_parallel_result_sink=true;` 后允许一个查询的每个 BE 节点独立返回查询结果，ADBC Client 收到
FE 返回的 Endpoint 列表后并行从多个 BE 节点拉取结果。不过注意当聚合结果很小时，多 BE 返回会增加 RPC 的压力。具体实现参考
[support parallel result
sink](https://github.com/apache/doris/pull/36053)。理论上除了最外层是排序的查询，其他查询都可以支持每个 BE
节点并行返回结果，不过暂时没有这方便的需求，没有更进一步实现。
+如果查询最外层是聚合，SQL 类似 `select k1, sum(k2) from xxx group by k1`，Doris v3.0.4
版本后，执行 `set enable_parallel_result_sink=true;` 后允许一个查询的每个 BE 节点独立返回查询结果，ADBC
Client 收到 FE 返回的 Endpoint 列表后并行从多个 BE 节点拉取结果。不过注意当聚合结果很小时，多 BE 返回会增加 RPC
的压力。具体实现参考 [support parallel result
sink](https://github.com/apache/doris/pull/36053)。理论上除了最外层是排序的查询，其他查询都可以支持每个 BE
节点并行返回结果，不过暂时没有这方便的需求，没有更进一步实现。
### 多 BE 共享同一个可供集群外部访问的 IP
@@ -613,7 +613,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
6. 修复 `show processlist` 显示重复的 Connection ID。
[Fix arrow-flight-sql ConnectContext to use a unified ID
#46284](https://github.com/apache/doris/pull/46284)
-7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少8小时的问题。
+7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少 8 小时的问题。
[Fix time zone issues and accuracy issues
#38215](https://github.com/apache/doris/pull/38215)
### v2.1.7
@@ -643,7 +643,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
### v2.1.5
-1. 修复Arrow Flight SQL 查询结果为空。
+1. 修复 Arrow Flight SQL 查询结果为空。
[Fix arrow flight result sink
#36827](https://github.com/apache/doris/pull/36827)
Doris v2.1.4
读取大数据量时有几率报错，问题详情见：[Questions](https://ask.selectdb.com/questions/D1Ia1/arrow-flight-sql-shi-yong-python-de-adbc-driver-lian-jie-doris-zhi-xing-cha-xun-sql-du-qu-bu-dao-shu-ju)
@@ -702,7 +702,7 @@ Doris 默认会将一个查询在所有 BE 节点上的结果汇总聚合到一
6. 修复查询报错 `FE not found arrow flight schema`。
[Fix FE not found arrow flight
schema](https://github.com/apache/doris/pull/43960)
-7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少8小时的问题。
+7. 修复读取 `Datetime` 和 `DatetimeV2` 类型丢失时区，导致比真实数据的 datetime 少 8 小时的问题。
[Fix time zone issues and accuracy issues
#38215](https://github.com/apache/doris/pull/38215)
### v3.0.2
diff --git a/src/constant/users.data.json b/src/constant/users.data.json
index 1b7c5f3d91b..db462439b36 100644
--- a/src/constant/users.data.json
+++ b/src/constant/users.data.json
@@ -1,6 +1,6 @@
[
{
- "story": "Amazon Web Services (AWS) is a leading cloud computing
platform that offers a wide range of scalable and reliable cloud services. AWS
for Apache Doris is coming soon, enabling businesses to effortlessly scale
their data analytics capabilities to handle massive workloads.",
+ "story": "Amazon Web Services (AWS) is a leading cloud computing
platform that offers a wide range of scalable and reliable cloud services. The
commercial version of Apache Doris, VeloDB Cloud is available on AWS, offering
scalable and efficient data analytics capabilities.",
"name": "AWS",
"category": "Commercial Distribution",
"logo": "AWS",
@@ -1232,4 +1232,4 @@
"to": null,
"image": "/images/user-logo/Technology/Footprint Analytics.jpg"
}
-]
+]
\ No newline at end of file
diff --git a/versioned_docs/version-2.1/db-connect/arrow-flight-sql-connect.md
b/versioned_docs/version-2.1/db-connect/arrow-flight-sql-connect.md
index 949f4a70631..cad0725b8b9 100644
--- a/versioned_docs/version-2.1/db-connect/arrow-flight-sql-connect.md
+++ b/versioned_docs/version-2.1/db-connect/arrow-flight-sql-connect.md
@@ -502,7 +502,7 @@ If the query is just a simple Select to pull data from
Doris, without Join, Sort
1. Execute `explain sql`, and the ScanOperator in the query plan returned by
FE contains all Tablet ID Lists of Scan.
2. Split the original SQL into multiple SQLs based on the Tablet ID List
above. Each SQL only reads part of the Tablet. The usage is similar to `SELECT
* FROM t1 TABLET(10001,10002) limit 1000;`. The multiple SQLs after splitting
can be executed in parallel. Refer to [Support select table
sample](https://github.com/apache/doris/pull/10170).
-If the outermost layer of the query is aggregation, the SQL is similar to
`select k1, sum(k2) from xxx group by k1`. After Doris v3.4, execute `set
enable_parallel_result_sink=true;` to allow each BE node of a query to return
query results independently. After receiving the Endpoint list returned by FE,
ADBC Client pulls results from multiple BE nodes in parallel. However, please
note that when the aggregation result is very small, returning multiple BEs
will increase the pressure on R [...]
+If the outermost layer of the query is aggregation, the SQL is similar to
`select k1, sum(k2) from xxx group by k1`. After Doris v3.0.4, execute `set
enable_parallel_result_sink=true;` to allow each BE node of a query to return
query results independently. After receiving the Endpoint list returned by FE,
ADBC Client pulls results from multiple BE nodes in parallel. However, please
note that when the aggregation result is very small, returning multiple BEs
will increase the pressure on [...]
### Multiple BEs share the same IP accessible from outside the cluster
diff --git a/versioned_docs/version-3.0/db-connect/arrow-flight-sql-connect.md
b/versioned_docs/version-3.0/db-connect/arrow-flight-sql-connect.md
index 949f4a70631..cad0725b8b9 100644
--- a/versioned_docs/version-3.0/db-connect/arrow-flight-sql-connect.md
+++ b/versioned_docs/version-3.0/db-connect/arrow-flight-sql-connect.md
@@ -502,7 +502,7 @@ If the query is just a simple Select to pull data from
Doris, without Join, Sort
1. Execute `explain sql`, and the ScanOperator in the query plan returned by
FE contains all Tablet ID Lists of Scan.
2. Split the original SQL into multiple SQLs based on the Tablet ID List
above. Each SQL only reads part of the Tablet. The usage is similar to `SELECT
* FROM t1 TABLET(10001,10002) limit 1000;`. The multiple SQLs after splitting
can be executed in parallel. Refer to [Support select table
sample](https://github.com/apache/doris/pull/10170).
-If the outermost layer of the query is aggregation, the SQL is similar to
`select k1, sum(k2) from xxx group by k1`. After Doris v3.4, execute `set
enable_parallel_result_sink=true;` to allow each BE node of a query to return
query results independently. After receiving the Endpoint list returned by FE,
ADBC Client pulls results from multiple BE nodes in parallel. However, please
note that when the aggregation result is very small, returning multiple BEs
will increase the pressure on R [...]
+If the outermost layer of the query is aggregation, the SQL is similar to
`select k1, sum(k2) from xxx group by k1`. After Doris v3.0.4, execute `set
enable_parallel_result_sink=true;` to allow each BE node of a query to return
query results independently. After receiving the Endpoint list returned by FE,
ADBC Client pulls results from multiple BE nodes in parallel. However, please
note that when the aggregation result is very small, returning multiple BEs
will increase the pressure on [...]
### Multiple BEs share the same IP accessible from outside the cluster
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