LocalFile
Local file source connector
Description
Read data from local 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 | - |
schema | config | no | - |
path [string]
The source file path.
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
, schema option not supported temporarily, but the subsequent features will support.
Now connector will treat the upstream data as the following:
lines |
---|
The content of every line in file |
schema [config]
The schema information of upstream data.
Example
LocalFile {
path = "/apps/hive/demo/student"
type = "parquet"
}
LocalFile {
schema {
fields {
name = string
age = int
}
}
path = "/apps/hive/demo/student"
type = "json"
}