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new c3b708be6ce [update] Update architecture pictures (#2258)
c3b708be6ce is described below
commit c3b708be6ced6aed733f5f0703c378ba79634a3e
Author: KassieZ <139741991+kass...@users.noreply.github.com>
AuthorDate: Wed Apr 2 22:28:50 2025 +0800
[update] Update architecture pictures (#2258)
## Versions
- [ ] dev
- [ ] 3.0
- [ ] 2.1
- [ ] 2.0
## Languages
- [ ] Chinese
- [ ] English
## Docs Checklist
- [ ] Checked by AI
- [ ] Test Cases Built
---
docs/gettingStarted/what-is-apache-doris.md | 2 +-
.../current/gettingStarted/what-is-apache-doris.md | 4 ++--
.../version-2.1/gettingStarted/what-is-apache-doris.md | 4 ++--
.../version-3.0/gettingStarted/what-is-apache-doris.md | 6 +++---
.../apache-doris-usage-scenarios-pipeline.jpeg | Bin 0 -> 766362 bytes
.../version-2.1/gettingStarted/what-is-apache-doris.md | 2 +-
.../version-3.0/gettingStarted/what-is-apache-doris.md | 2 +-
7 files changed, 10 insertions(+), 10 deletions(-)
diff --git a/docs/gettingStarted/what-is-apache-doris.md
b/docs/gettingStarted/what-is-apache-doris.md
index 924f97a154d..0290c9d3d96 100644
--- a/docs/gettingStarted/what-is-apache-doris.md
+++ b/docs/gettingStarted/what-is-apache-doris.md
@@ -37,7 +37,7 @@ Apache Doris has a wide user base. It has been used in
production environments o
As shown in the figure below, after various data integrations and processing,
data sources are typically ingested into the real-time data warehouse Doris and
offline lakehouses (such as Hive, Iceberg, and Hudi). These are widely used in
OLAP analysis scenarios.
-
+
Apache Doris is widely used in the following scenarios:
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/gettingStarted/what-is-apache-doris.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/gettingStarted/what-is-apache-doris.md
index b28cce7f9c7..23373b40b0b 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/gettingStarted/what-is-apache-doris.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/gettingStarted/what-is-apache-doris.md
@@ -47,7 +47,7 @@ Apache Doris 在中国乃至全球范围内拥有广泛的用户群体。截至
数据源经过各种数据集成和加工处理后，通常会进入实时数据仓库 Doris 和离线湖仓（如 Hive、Iceberg 和 Hudi），广泛应用于 OLAP
分析场景，如下图所示：
-
+
Apache Doris 主要应用于以下场景：
@@ -83,7 +83,7 @@ Apache Doris 存算一体架构精简且易于维护。它包含以下两种类
* **Backend (BE)：** 主要负责数据存储和查询计划的执行。数据会被切分成数据分片（Shard），在 BE 中以多副本方式存储。
-
+
在生产环境中，可以部署多个 FE 节点以实现容灾备份。每个 FE 节点都会维护完整的元数据副本。FE 节点分为以下三种角色：
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/gettingStarted/what-is-apache-doris.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/gettingStarted/what-is-apache-doris.md
index f00c4427342..5e0f5238139 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/gettingStarted/what-is-apache-doris.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/gettingStarted/what-is-apache-doris.md
@@ -47,7 +47,7 @@ Apache Doris 在中国乃至全球范围内拥有广泛的用户群体。截至
数据源经过各种数据集成和加工处理后，通常会进入实时数据仓库 Doris 和离线湖仓（如 Hive、Iceberg 和 Hudi），广泛应用于 OLAP
分析场景，如下图所示：
-
+
Apache Doris 主要应用于以下场景：
@@ -83,7 +83,7 @@ Apache Doris 存算一体架构精简且易于维护。它包含以下两种类
* **Backend (BE)：** 主要负责数据存储和查询计划的执行。数据会被切分成数据分片（Shard），在 BE 中以多副本方式存储。
-
+
在生产环境中，可以部署多个 FE 节点以实现容灾备份。每个 FE 节点都会维护完整的元数据副本。FE 节点分为以下三种角色：
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/gettingStarted/what-is-apache-doris.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/gettingStarted/what-is-apache-doris.md
index b28cce7f9c7..ebe6dcf9054 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/gettingStarted/what-is-apache-doris.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/gettingStarted/what-is-apache-doris.md
@@ -47,7 +47,7 @@ Apache Doris 在中国乃至全球范围内拥有广泛的用户群体。截至
数据源经过各种数据集成和加工处理后，通常会进入实时数据仓库 Doris 和离线湖仓（如 Hive、Iceberg 和 Hudi），广泛应用于 OLAP
分析场景，如下图所示：
-
+
Apache Doris 主要应用于以下场景：
@@ -83,7 +83,7 @@ Apache Doris 存算一体架构精简且易于维护。它包含以下两种类
* **Backend (BE)：** 主要负责数据存储和查询计划的执行。数据会被切分成数据分片（Shard），在 BE 中以多副本方式存储。
-
+
在生产环境中，可以部署多个 FE 节点以实现容灾备份。每个 FE 节点都会维护完整的元数据副本。FE 节点分为以下三种角色：
@@ -156,7 +156,7 @@ Apache Doris 也支持强一致的单表物化视图和异步刷新的多表物
Apache Doris 采用大规模并行处理（MPP）架构，支持节点间和节点内并行执行，以及多个大型表的分布式 Shuffle
Join，从而更好地应对复杂查询。
-
+
Doris 查询引擎是向量化引擎，所有内存结构均按列式布局，可显著减少虚函数调用，提高缓存命中率，并有效利用 SIMD
指令。在宽表聚合场景下，性能是非向量化引擎的 5-10 倍。
diff --git
a/static/images/getting-started/apache-doris-usage-scenarios-pipeline.jpeg
b/static/images/getting-started/apache-doris-usage-scenarios-pipeline.jpeg
new file mode 100644
index 00000000000..ea8cde78943
Binary files /dev/null and
b/static/images/getting-started/apache-doris-usage-scenarios-pipeline.jpeg
differ
diff --git a/versioned_docs/version-2.1/gettingStarted/what-is-apache-doris.md
b/versioned_docs/version-2.1/gettingStarted/what-is-apache-doris.md
index bab0c6add59..5d77d5bb775 100644
--- a/versioned_docs/version-2.1/gettingStarted/what-is-apache-doris.md
+++ b/versioned_docs/version-2.1/gettingStarted/what-is-apache-doris.md
@@ -37,7 +37,7 @@ Apache Doris has a wide user base. It has been used in
production environments o
As shown in the figure below, after various data integrations and processing,
data sources are typically ingested into the real-time data warehouse Doris and
offline lakehouses (such as Hive, Iceberg, and Hudi). These are widely used in
OLAP analysis scenarios.
-
+
Apache Doris is widely used in the following scenarios:
diff --git a/versioned_docs/version-3.0/gettingStarted/what-is-apache-doris.md
b/versioned_docs/version-3.0/gettingStarted/what-is-apache-doris.md
index 76b0afe75f6..cfb4ca19ad1 100644
--- a/versioned_docs/version-3.0/gettingStarted/what-is-apache-doris.md
+++ b/versioned_docs/version-3.0/gettingStarted/what-is-apache-doris.md
@@ -37,7 +37,7 @@ Apache Doris has a wide user base. It has been used in
production environments o
As shown in the figure below, after various data integrations and processing,
data sources are typically ingested into the real-time data warehouse Doris and
offline lakehouses (such as Hive, Iceberg, and Hudi). These are widely used in
OLAP analysis scenarios.
-
+
Apache Doris is widely used in the following scenarios:
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