FileTransform
Transform ion format file from Kestra with a groovy script.
This allows you to transform the data, previously loaded by Kestra, as you need.
Take a ion format file from Kestra and iterate row per row.
Each row will populate a row global variable. You need to alter this variable that will be saved on output file.
If you set the row to null, the row will be skipped.
You can create a variable rows to return multiple rows for a single row.
type: "io.kestra.plugin.scripts.groovy.FileTransform"Convert row by row of a file from Kestra's internal storage.
id: groovy_file_transform
namespace: company.team
inputs:
- id: file
type: FILE
tasks:
- id: file_transform
type: io.kestra.plugin.scripts.groovy.FileTransform
from: "{{ inputs.file }}"
script: |
logger.info('row: {}', row)
if (row.get('name') == 'richard') {
row = null
} else {
row.put('email', row.get('name') + '@kestra.io')
}
Create multiple rows from one row.
id: groovy_file_transform
namespace: company.team
inputs:
- id: file
type: FILE
tasks:
- id: file_transform
type: io.kestra.plugin.scripts.groovy.FileTransform
from: "{{ inputs.file }}"
script: |
logger.info('row: {}', row)
rows = [["action", "insert"], row]
Transform a JSON string to a file.
id: groovy_file_transform
namespace: company.team
inputs:
- id: json
type: JSON
defaults: [{"name":"jane"}, {"name":"richard"}]
tasks:
- id: file_transform
type: io.kestra.plugin.scripts.groovy.FileTransform
from: "{{ inputs.json }}"
script: |
logger.info('row: {}', row)
if (row.get('name') == 'richard') {
row = null
} else {
row.put('email', row.get('name') + '@kestra.io')
}
JSON transformations using jackson library
id: json_transform_using_jackson
namespace: company.team
tasks:
- id: file_transform
type: io.kestra.plugin.scripts.groovy.FileTransform
from: "[{"name":"John Doe", "age":99, "embedded":{"foo":"bar"}}]"
script: |
import com.fasterxml.jackson.*
def mapper = new databind.ObjectMapper();
def jsonStr = mapper.writeValueAsString(row);
logger.info('input in json str: {}', jsonStr)
def typeRef = new core.type.TypeReference<HashMap<String,Object>>() {};
data = mapper.readValue(jsonStr, typeRef);
logger.info('json object: {}', data);
logger.info('embedded field: {}', data.embedded.foo)
Source file containing rows to transform.
Can be Kestra's internal storage URI, a map or a list.
>= 2Number of concurrent parallel transformations to execute.
Take care that the order is not respected if you use parallelism.
A full script.
uriURI of a temporary result file.
The file will be serialized as ion file.