HdfsFile
Hdfs file source connector
Description
Read data from hdfs file system.
Key features
Read all the data in a split in a pollNext call. What splits are read will be saved in snapshot.
- schema projection
- parallelism
- support user-defined split
- file format
- text
- csv
- parquet
- orc
- json
Options
| name | type | required | default value |
|---|---|---|---|
| path | string | yes | - |
| type | string | yes | - |
| fs.defaultFS | string | yes | - |
| 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 |
| schema | config | no | - |
| common-options | 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
type [string]
File type, supported as the following file types:
text csv parquet orc json
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:
{"code": 200, "data": "get success", "success": true}
You can also save multiple pieces of data in one file and split them by newline:
{"code": 200, "data": "get success", "success": true}
{"code": 300, "data": "get failed", "success": false}
you should assign schema as the following:
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:
tyrantlucifer#26#male
If you do not assign data schema connector will treat the upstream data as the following:
| content |
|---|
| tyrantlucifer#26#male |
If you assign data schema, you should also assign the option delimiter too except CSV file type
you should assign schema and delimiter as the following:
delimiter = "#"
schema {
fields {
name = string
age = int
gender = string
}
}
connector will generate data as the following:
| name | age | gender |
|---|---|---|
| tyrantlucifer | 26 | male |
fs.defaultFS [string]
Hdfs cluster address.
schema [Config]
fields [Config]
the schema fields of upstream data
common options
Source plugin common parameters, please refer to Source Common Options for details.
Example
HdfsFile {
path = "/apps/hive/demo/student"
type = "parquet"
fs.defaultFS = "hdfs://namenode001"
}
HdfsFile {
schema {
fields {
name = string
age = int
}
}
path = "/apps/hive/demo/student"
type = "json"
fs.defaultFS = "hdfs://namenode001"
}
Changelog
2.2.0-beta 2022-09-26
- Add HDFS File Source Connector