zhilinli123 commented on code in PR #4871:
URL: https://github.com/apache/seatunnel/pull/4871#discussion_r1213206574
##########
docs/en/connector-v2/source/HdfsFile.md:
##########
@@ -1,18 +1,12 @@
# HdfsFile
-> Hdfs file source connector
+> Hdfs File Source Connector
-## Description
-
-Read data from hdfs file system.
-
-:::tip
+## Support Those Engines
-If you use spark/flink, In order to use this connector, You must ensure your
spark/flink cluster already integrated hadoop. The tested hadoop version is 2.x.
-
-If you use SeaTunnel Engine, It automatically integrated the hadoop jar when
you download and install SeaTunnel Engine. You can check the jar package under
${SEATUNNEL_HOME}/lib to confirm this.
-
-:::
+> Spark<br/>
+> Flink<br/>
+> Seatunnel Zeta<br/>
## Key features
Review Comment:
Same as above
##########
docs/en/connector-v2/source/HdfsFile.md:
##########
@@ -33,233 +27,51 @@ Read all the data in a split in a pollNext call. What
splits are read will be sa
- [x] json
- [x] excel
-## Options
-
-| name | type | required | default value |
-|---------------------------|---------|----------|---------------------|
-| path | string | yes | - |
-| file_format_type | string | yes | - |
-| fs.defaultFS | string | yes | - |
-| read_columns | list | yes | - |
-| hdfs_site_path | string | no | - |
-| delimiter | string | no | \001 |
-| parse_partition_from_path | boolean | no | true |
-| date_format | string | no | yyyy-MM-dd |
-| datetime_format | string | no | yyyy-MM-dd HH:mm:ss |
-| time_format | string | no | HH:mm:ss |
-| kerberos_principal | string | no | - |
-| kerberos_keytab_path | string | no | - |
-| skip_header_row_number | long | no | 0 |
-| schema | config | no | - |
-| common-options | | no | - |
-| sheet_name | string | no | - |
-
-### path [string]
-
-The source file path.
-
-### delimiter [string]
-
-Field delimiter, used to tell connector how to slice and dice fields when
reading text files
-
-default `\001`, the same as hive's default delimiter
-
-### parse_partition_from_path [boolean]
-
-Control whether parse the partition keys and values from file path
-
-For example if you read a file from path
`hdfs://hadoop-cluster/tmp/seatunnel/parquet/name=tyrantlucifer/age=26`
-
-Every record data from file will be added these two fields:
-
-| name | age |
-|---------------|-----|
-| tyrantlucifer | 26 |
-
-Tips: **Do not define partition fields in schema option**
-
-### date_format [string]
-
-Date type format, used to tell connector how to convert string to date,
supported as the following formats:
-
-`yyyy-MM-dd` `yyyy.MM.dd` `yyyy/MM/dd`
-
-default `yyyy-MM-dd`
-
-### datetime_format [string]
-
-Datetime type format, used to tell connector how to convert string to
datetime, supported as the following formats:
-
-`yyyy-MM-dd HH:mm:ss` `yyyy.MM.dd HH:mm:ss` `yyyy/MM/dd HH:mm:ss`
`yyyyMMddHHmmss`
-
-default `yyyy-MM-dd HH:mm:ss`
-
-### time_format [string]
-
-Time type format, used to tell connector how to convert string to time,
supported as the following formats:
-
-`HH:mm:ss` `HH:mm:ss.SSS`
-
-default `HH:mm:ss`
-
-### skip_header_row_number [long]
-
-Skip the first few lines, but only for the txt and csv.
-
-For example, set like following:
-
-`skip_header_row_number = 2`
-
-then Seatunnel will skip the first 2 lines from source files
-
-### file_format_type [string]
-
-File type, supported as the following file types:
-
-`text` `csv` `parquet` `orc` `json` `excel`
-
-If you assign file type to `json`, you should also assign schema option to
tell connector how to parse data to the row you want.
-
-For example:
-
-upstream data is the following:
-
-```json
-
-{"code": 200, "data": "get success", "success": true}
-
-```
-
-You can also save multiple pieces of data in one file and split them by
newline:
-
-```json lines
-
-{"code": 200, "data": "get success", "success": true}
-{"code": 300, "data": "get failed", "success": false}
-
-```
-
-you should assign schema as the following:
-
-```hocon
-
-schema {
- fields {
- code = int
- data = string
- success = boolean
- }
-}
-
-```
-
-connector will generate data as the following:
-
-| code | data | success |
-|------|-------------|---------|
-| 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 `text` `csv`, you can choose to specify the schema
information or not.
-
-For example, upstream data is the following:
-
-```text
+## Description
-tyrantlucifer#26#male
+Read data from hdfs file system.
-```
+## Source Options
-If you do not assign data schema connector will treat the upstream data as the
following:
+| name | type | required | default value |
Description
|
Review Comment:
Same as above
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