Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Doc] hdfs file doc correct #7216

Merged
merged 1 commit into from
Jul 17, 2024
Merged

[Doc] hdfs file doc correct #7216

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/en/connector-v2/source/HdfsFile.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ Read data from hdfs file system.
| path | string | yes | - | The source file path. |
| file_format_type | string | yes | - | We supported as the following file types:`text` `csv` `parquet` `orc` `json` `excel` `xml` `binary`.Please note that, The final file name will end with the file_format's suffix, the suffix of the text file is `txt`. |
| fs.defaultFS | string | yes | - | The hadoop cluster address that start with `hdfs://`, for example: `hdfs://hadoopcluster` |
| read_columns | list | yes | - | The read column list of the data source, user can use it to implement field projection.The file type supported column projection as the following shown:[text,json,csv,orc,parquet,excel,xml].Tips: If the user wants to use this feature when reading `text` `json` `csv` files, the schema option must be configured. |
| read_columns | list | no | - | The read column list of the data source, user can use it to implement field projection.The file type supported column projection as the following shown:[text,json,csv,orc,parquet,excel,xml].Tips: If the user wants to use this feature when reading `text` `json` `csv` files, the schema option must be configured. |
| hdfs_site_path | string | no | - | The path of `hdfs-site.xml`, used to load ha configuration of namenodes |
| delimiter/field_delimiter | string | no | \001 | 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 | no | true | 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:tyrantlucifer,age:26].Tips:Do not define partition fields in schema option. |
Expand Down
2 changes: 1 addition & 1 deletion docs/zh/connector-v2/source/HdfsFile.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@
| path | string | 是 | - | 源文件路径。 |
| file_format_type | string | 是 | - | 我们支持以下文件类型：`text` `json` `csv` `orc` `parquet` `excel`。请注意，最终文件名将以文件格式的后缀结束，文本文件的后缀是 `txt`。 |
| fs.defaultFS | string | 是 | - | 以 `hdfs://` 开头的 Hadoop 集群地址，例如：`hdfs://hadoopcluster`。 |
| read_columns | list | 是 | - | 数据源的读取列列表，用户可以使用它实现字段投影。支持的文件类型的列投影如下所示：[text,json,csv,orc,parquet,excel]。提示：如果用户在读取 `text` `json` `csv` 文件时想要使用此功能，必须配置 schema 选项。 |
| read_columns | list | 否 | - | 数据源的读取列列表，用户可以使用它实现字段投影。支持的文件类型的列投影如下所示：[text,json,csv,orc,parquet,excel]。提示：如果用户在读取 `text` `json` `csv` 文件时想要使用此功能，必须配置 schema 选项。 |
| hdfs_site_path | string | 否 | - | `hdfs-site.xml` 的路径，用于加载 namenodes 的 ha 配置。 |
| delimiter/field_delimiter | string | 否 | \001 | 字段分隔符，用于告诉连接器在读取文本文件时如何切分字段。默认 `\001`，与 Hive 的默认分隔符相同。 |
| parse_partition_from_path | boolean | 否 | true | 控制是否从文件路径中解析分区键和值。例如，如果您从路径 `hdfs://hadoop-cluster/tmp/seatunnel/parquet/name=tyrantlucifer/age=26` 读取文件，则来自文件的每条记录数据将添加这两个字段：[name:tyrantlucifer,age:26]。提示：不要在 schema 选项中定义分区字段。 |
Expand Down
Loading