Carl-Zhou-CN commented on code in PR #5335:
URL: https://github.com/apache/seatunnel/pull/5335#discussion_r1299358975
##########
docs/en/connector-v2/source/Iceberg.md:
##########
@@ -22,126 +28,112 @@ Source connector for Apache Iceberg. It can support batch
and stream mode.
- [x] hadoop(2.7.1 , 2.7.5 , 3.1.3)
- [x] hive(2.3.9 , 3.1.2)
-## Options
-
-| name | type | required | default value |
-|--------------------------|---------|----------|----------------------|
-| catalog_name | string | yes | - |
-| catalog_type | string | yes | - |
-| uri | string | no | - |
-| warehouse | string | yes | - |
-| namespace | string | yes | - |
-| table | string | yes | - |
-| schema | config | no | - |
-| case_sensitive | boolean | no | false |
-| start_snapshot_timestamp | long | no | - |
-| start_snapshot_id | long | no | - |
-| end_snapshot_id | long | no | - |
-| use_snapshot_id | long | no | - |
-| use_snapshot_timestamp | long | no | - |
-| stream_scan_strategy | enum | no | FROM_LATEST_SNAPSHOT |
-| common-options | | no | - |
-
-### catalog_name [string]
-
-User-specified catalog name.
-
-### catalog_type [string]
-
-The optional values are:
-- hive: The hive metastore catalog.
-- hadoop: The hadoop catalog.
-
-### uri [string]
-
-The Hive metastore’s thrift URI.
-
-### warehouse [string]
-
-The location to store metadata files and data files.
-
-### namespace [string]
-
-The iceberg database name in the backend catalog.
-
-### table [string]
-
-The iceberg table name in the backend catalog.
-
-### case_sensitive [boolean]
-
-If data columns where selected via schema [config], controls whether the match
to the schema will be done with case sensitivity.
-
-### schema [config]
+## Description
-#### fields [Config]
+Source connector for Apache Iceberg. It can support batch and stream mode.
-Use projection to select data columns and columns order.
+## Database Dependency
-e.g.
+> In order to be compatible with different versions of Hadoop and Hive, the
scope of hive-exec and flink-shaded-hadoop-2 in the project pom file are
provided, so if you use the Flink engine, first you may need to add the
following Jar packages to <FLINK_HOME>/lib directory, if you are using the
Spark engine and integrated with Hadoop, then you do not need to add the
following Jar packages.
```
-schema {
- fields {
- f2 = "boolean"
- f1 = "bigint"
- f3 = "int"
- f4 = "bigint"
- }
-}
+flink-shaded-hadoop-x-xxx.jar
Review Comment:
done
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