DocsBest Practices

Managing and purging flow outputs​Managing and purging flow outputs

Best practices for handling flow outputs incl. purging large outputs and conditionally returning outputs.

Conditionally returning outputs

When you have a flow that can return different outputs based on some condition, you can use a Pebble expression in the outputs section to conditionally return the output of task A if it wasn't skipped, and the output of task B otherwise.

yaml
id: conditionallyReturnOutputs
namespace: company.team

inputs:
  - id: runTask
    type: BOOLEAN
    defaults: true

tasks:
  - id: taskA
    runIf: "{{ inputs.runTask }}"
    type: io.kestra.plugin.core.debug.Return
    format: Hello World!

  - id: taskB
    type: io.kestra.plugin.core.debug.Return
    format: Fallback output

outputs:
  - id: flowOutput
    type: STRING
    value: "{{ tasks.taskA.state != 'SKIPPED' ? outputs.taskA.value : outputs.taskB.value }}"

Purging large outputs

When you have a flow that generates large outputs that don't need to be kept after the execution is completed, you can use the io.kestra.plugin.core.storage.PurgeExecutionFiles task to purge the outputs of the current execution.

In the example below, the flow downloads a large file from an HTTP API and uploads it to an S3 bucket. After the file is uploaded to S3, it's no longer needed, so the PurgeExecutionFiles task is used to delete the file from the internal storage.

yaml
id: extractLoadPurge
namespace: company.team

tasks:
  - id: extract
    type: io.kestra.plugin.core.http.Download
    uri: https://huggingface.co/datasets/kestra/datasets/raw/main/csv/orders.csv

  - id: load
    type: io.kestra.plugin.aws.s3.Upload
    from: "{{ outputs.extractLargeFile.uri }}"
    bucket: myBucket
    key: largeFiles/orders.csv

  - id: purge
    type: io.kestra.plugin.core.storage.PurgeCurrentExecutionFiles

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