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IOMETE SDK for Python.

Project description


This is the IOMETE SDK for Python. It provides convenient access to the IOMETE API from applications written in the Python language.


Install the package with:

pip install iomete-sdk


Spark Job API

Import and initialize the client:

from iomete_sdk import SparkJobApiClient, ClientError


job_client = SparkJobApiClient(

Create a new job:

response = job_client.create_job(payload={
        "name": "job-name",
        "template": {
            "main_application_file": "local:///opt/spark/examples/jars/spark-examples_2.12-3.2.1-iomete.jar",
            "main_class": "org.apache.spark.examples.SparkPi",
            "arguments": ["10"]

job_id = response["id"]

Get jobs:

response = job_client.get_jobs()

Get job:

response = job_client.get_job(job_id=job_id)

Update job:

response = job_client.update_job(job_id=job_id, payload={
        "template": {
            "main_application_file": "local:///opt/spark/examples/jars/spark-examples_2.12-3.2.1-iomete.jar",
            "main_class": "org.apache.spark.examples.SparkPi",
            "arguments": ["10"]

Delete job:

response = job_client.delete_job(job_id=job_id)

Submit job run:

response = job_client.submit_job_run(job_id=job_id, payload={})

Cancel job run:

response = job_client.cancel_job_run(job_id=job_id, run_id=run_id)

Get Job Runs:

response = job_client.get_job_runs(job_id=job_id)

Get Job Run:

response = job_client.get_job_run(job_id=job_id, run_id=run_id)

Get Job Run Logs:

response = job_client.get_job_run_logs(job_id=job_id, run_id=run_id)

Get Job Run Metrics:

response = job_client.get_job_run_metrics(job_id=job_id, run_id=run_id)

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