[Doc] Update iceberg_catalog.md (backport #52548) (#52549)

Co-authored-by: Dan Roscigno <[email protected]>
StarRocks · Nov 1, 2024 · 8e2e90f · 8e2e90f
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diff --git a/docs/en/data_source/catalog/iceberg_catalog.md b/docs/en/data_source/catalog/iceberg_catalog.md
@@ -1,6 +1,7 @@
 ---
 displayed_sidebar: docs
 toc_max_heading_level: 5
+keywords: ['iceberg']
 ---
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';

diff --git a/docs/en/quick_start/iceberg.md b/docs/en/quick_start/iceberg.md
@@ -3,6 +3,7 @@ displayed_sidebar: docs
 sidebar_position: 3
 description: Data Lakehouse with Apache Iceberg
 toc_max_heading_level: 2
+keywords: ['iceberg']
 ---
 import DataLakeIntro from '../_assets/commonMarkdown/datalakeIntro.md'
 import Clients from '../_assets/quick-start/_clientsCompose.mdx'

diff --git a/docs/zh/data_source/catalog/iceberg_catalog.md b/docs/zh/data_source/catalog/iceberg_catalog.md
@@ -1,6 +1,7 @@
 ---
 displayed_sidebar: docs
 toc_max_heading_level: 5
+keywords: ['iceberg']
 ---
 
 # Iceberg catalog
@@ -1187,4 +1188,4 @@ StarRocks 采用 Least Recently Used (LRU) 策略来缓存和淘汰数据，基
 
   默认设置下，StarRocks 可以根据各种因素自动选择合适的元数据检索方法，包括 FE/BE/CN 节点的数量、核心数以及当前查询所需读取的 Manifest 文件数量。这种自适应的方法确保系统可以动态优化元数据的检索，无需手动调整元数据相关的参数。通过该方案，StarRocks 能在不同条件下平衡分布式和本地方案，实现最佳的查询性能，为用户提供无缝体验。
 
-您可以通过系统变量 [`plan_mode`](../../sql-reference/System_variable.md#plan_mode) 调整 Iceberg Catalog 元数据检索方案。
+您可以通过系统变量 [`plan_mode`](../../sql-reference/System_variable.md#plan_mode) 调整 Iceberg Catalog 元数据检索方案。
diff --git a/docs/zh/quick_start/iceberg.md b/docs/zh/quick_start/iceberg.md
@@ -3,6 +3,7 @@ displayed_sidebar: docs
 sidebar_position: 3
 description: "湖仓分析"
 toc_max_heading_level: 2
+keywords: ['iceberg']
 ---
 import DataLakeIntro from '../_assets/commonMarkdown/datalakeIntro.md'
 import Clients from '../_assets/quick-start/_clientsCompose.mdx'