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commit f6bfc4e07c5d319563946ecb40a18eec162d9efa
Author: lifeng <[email protected]>
AuthorDate: Thu Oct 29 09:57:40 2026 +0000

    [Docs][Connector-V2] Clarify LocalFile CSV header semantics (#11606)
    
    Signed-off-by: lifeng <[email protected]>
---
 docs/en/connectors/source/LocalFile.md | 24 ++++++------------------
 docs/zh/connectors/source/LocalFile.md | 24 ++++++------------------
 2 files changed, 12 insertions(+), 36 deletions(-)

diff --git a/docs/en/connectors/source/LocalFile.md 
b/docs/en/connectors/source/LocalFile.md
index 7f98eb8618..e98f7cc586 100644
--- a/docs/en/connectors/source/LocalFile.md
+++ b/docs/en/connectors/source/LocalFile.md
@@ -68,7 +68,7 @@ For bounded Zeta jobs, restore resumes pending file splits 
after readers registe
 | datetime_format            | string  | no       | yyyy-MM-dd HH:mm:ss        
          |
 | time_format                | string  | no       | HH:mm:ss                   
          |
 | skip_header_row_number     | long    | no       | 0                          
          |
-| schema                     | config  | no       | -                          
          |
+| schema                     | config  | conditionally yes | -                 
              |
 | sheet_name                 | string  | no       | -                          
          |
 | excel_engine               | string  | no       | POI                        
          |
 | excel_use_header_line      | boolean | no       | false                      
          |
@@ -161,23 +161,11 @@ connector will generate data as the following:
 |------|-------------|---------|
 | 200  | get success | true    |
 
-If you assign file type to `parquet` `orc`, schema option not required, 
connector can find the schema of upstream data automatically.
+If you assign file type to `parquet` or `orc`, the schema option is not 
required because the connector can read the schema from the file metadata.
 
-If you assign file type to `text` `csv`, you can choose to specify the schema 
information or not.
+If you assign file type to `json`, `excel`, or `xml`, you must specify the 
schema because these formats do not provide the field types required by 
SeaTunnel.
 
-For example, upstream data is the following:
-
-```text
-
-tyrantlucifer#26#male
-
-```
-
-If you do not assign data schema connector will treat the upstream data as the 
following:
-
-|        content        |
-|-----------------------|
-| tyrantlucifer#26#male |
+For `text` and `csv`, the schema is optional. Without a schema, the connector 
reads each input line into a single `content` field of type string; 
`read_columns` is not supported in this mode. Configure a schema when you need 
typed fields or column mapping.
 
 If you assign data schema, you should also assign the option `field_delimiter` 
too except CSV file type
 
@@ -335,7 +323,7 @@ preamble, leave the value at `0`.
 
 ### schema [config]
 
-Only need to be configured when the file_format_type are text, json, excel, 
xml or csv ( Or other format we can't read the schema from metadata).
+Required when `file_format_type` is `json`, `excel`, or `xml`. Optional for 
`text` and `csv`; when omitted, each input line is read into a single `content` 
field of type string and `read_columns` is not supported.
 
 #### fields [Config]
 
@@ -401,7 +389,7 @@ For security reasons (XXE hardening), XML files 
(`file_format_type = xml`) conta
 
 ### csv_use_header_line [boolean]
 
-Whether to use the header line to parse the file, only used when the 
file_format is `csv` and the file contains the header line that match RFC 4180
+When enabled, the connector consumes the first RFC 4180 CSV record as the 
header and maps its column names to the fields in the configured `schema`. This 
option does not infer the schema or field types. Do not also use 
`skip_header_row_number` to skip the same header row.
 
 ### file_filter_pattern [string]
 
diff --git a/docs/zh/connectors/source/LocalFile.md 
b/docs/zh/connectors/source/LocalFile.md
index bc69c073cb..c721289c8c 100644
--- a/docs/zh/connectors/source/LocalFile.md
+++ b/docs/zh/connectors/source/LocalFile.md
@@ -68,7 +68,7 @@ import ChangeLog from '../changelog/connector-file-local.md';
 | datetime_format            | string  | 否    | yyyy-MM-dd HH:mm:ss |
 | time_format                | string  | 否    | HH:mm:ss            |
 | skip_header_row_number     | long    | 否    | 0                   |
-| schema                     | config  | 否    | -                   |
+| schema                     | config  | 视情况而定 | -                   |
 | sheet_name                 | string  | 否    | -                   |
 | excel_engine               | string  | 否    | POI                 |
 | excel_use_header_line      | boolean | 否    | false               |
@@ -161,23 +161,11 @@ schema {
 |------|-------------|---------|
 | 200  | get success | true    |
 
-如果您将文件类型指定为 `parquet` `orc`,则不需要 schema 选项,连接器可以自动找到上游数据的 schema。
+如果您将文件类型指定为 `parquet` 或 `orc`,则不需要 schema 选项,因为连接器可以从文件元数据中读取 schema。
 
-如果您将文件类型指定为 `text` `csv`,您可以选择指定或不指定 schema 信息。
+如果您将文件类型指定为 `json`、`excel` 或 `xml`,则必须指定 schema,因为这些格式不提供 SeaTunnel 所需的字段类型。
 
-例如,上游数据如下:
-
-```text
-
-tyrantlucifer#26#male
-
-```
-
-如果您不指定数据 schema,连接器将把上游数据视为如下:
-
-|        content        |
-|-----------------------|
-| tyrantlucifer#26#male |
+对于 `text` 和 `csv`,schema 是可选的。未配置 schema 时,连接器会将每个输入行读取为一个 string 类型的 
`content` 字段;此模式不支持 `read_columns`。如果需要有类型的字段或列映射,请配置 schema。
 
 如果您指定数据 schema,除了 CSV 文件类型外,您还应该指定选项 `field_delimiter`
 
@@ -334,7 +322,7 @@ PDF 特有的解析行为如下:
 
 ### schema [config]
 
-仅在 file_format_type 为 text、json、excel、xml 或 csv(或其他我们无法从元数据读取 schema 的格式)时需要配置。
+当 `file_format_type` 为 `json`、`excel` 或 `xml` 时必须配置。对于 `text` 和 `csv`,schema 
是可选的;未配置时,每个输入行会被读取为一个 string 类型的 `content` 字段,并且不支持 `read_columns`。
 
 #### fields [Config]
 
@@ -400,7 +388,7 @@ POI 引擎允许读取的最大 Excel 文件大小,单位为字节。默认值
 
 ### csv_use_header_line [boolean]
 
-是否使用标题行解析文件,仅在 file_format 为 `csv` 且文件包含符合 RFC 4180 的标题行时使用
+启用后,连接器会将第一个符合 RFC 4180 的 CSV 记录作为标题行,并按列名映射到已配置 `schema` 中的字段。此选项不会推断 schema 
或字段类型。不要再使用 `skip_header_row_number` 跳过同一个标题行。
 
 ### file_filter_pattern [string]
 

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