post
https://api.liveramp.com/analytics-environment/v1/schedule-jobs
create a schedule job
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Creating a job
Supported jobsOnly PySpark and Python are supported for job creation via API. To create a BigQuery scheduled job, use Google BigQuery. Once created, the BigQuery scheduled job will be synchronized with LiveRamp within 15 minutes.
Before you create a job, do the following:
- Create a Python code files in your code repository bucket that you want to run and note its path so that you can specify it with the
mainFileparameter. - Decide when the job should run and at what interval (specify
startDate,frequency+ a cron expression, andtimeZone). If you want to run the job immediately, specifyonetimeJob: true. - (Optional) If you want to use any of the supported Python packages, verify the correct syntax.
Request example for Python or Pyspark
curl --location 'https://api.liveramp.com/analytics-environment/v1/schedule-jobs' \
--header 'Tenant-ID: ${tenantId}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer ${access_token}' \
--data-raw '{
"name": "test",
"description": "test",
"jobType": "PySpark",
"clusterType": "Large",
"dataprocVersion": "dataproc2.1",
"mainFile": "gs://lranalytics-eu-123456-cert-awob-coderepo/testFolder01/111.py",
"pyFiles": [
"gs://lranalytics-eu-123456-cert-awob-coderepo/1.py"
],
"enabled": true,
"jobArgs": "",
"additionalPackages": "",
"onetimeJob": false,
"startDate": "",
"frequency": "25 0 * * 2",
"timeZone": "Asia/Shanghai",
"emailAlert": "failed",
"tenantId": 123456,
"userEmail": "[email protected]"
}'For information on how this is done in Analytics Environment's user interface, see "Create a Job" in the Safe Haven help.